diff --git a/.Doxyfile b/.Doxyfile
index 136c04da2..04360a39e 100644
--- a/.Doxyfile
+++ b/.Doxyfile
@@ -48,7 +48,7 @@ PROJECT_NAME           = "RPP"
 # could be handy for archiving the generated documentation or if some version
 # control system is used.
 
-PROJECT_NUMBER         = "V1.3.0"
+PROJECT_NUMBER         = "V1.5.0"
 
 # Using the PROJECT_BRIEF tag one can provide an optional one line description
 # for a project that appears at the top of each page and should give viewer a
@@ -945,11 +945,21 @@ WARN_LOGFILE           =
 
 INPUT                  = README.md \
                         include/rpp.h \
-                        include/rppcore.h \
                         include/rppi.h \
                         include/rppt.h \
                         include/rppversion.h \
                         include/rppdefs.h \
+                        include/rppi_advanced_augmentations.h \
+                        include/rppi_arithmetic_operations.h \
+                        include/rppi_color_model_conversions.h \
+                        include/rppi_computer_vision.h \
+                        include/rppi_filter_operations.h \
+                        include/rppi_fused_functions.h \
+                        include/rppi_geometry_transforms.h \
+                        include/rppi_image_augmentations.h \
+                        include/rppi_logical_operations.h \
+                        include/rppi_morphological_transforms.h \
+                        include/rppi_statistical_operations.h \
                         include/rppt_tensor_color_augmentations.h \
                         include/rppt_tensor_data_exchange_operations.h \
                         include/rppt_tensor_effects_augmentations.h \
@@ -1108,7 +1118,8 @@ EXAMPLE_RECURSIVE      = NO
 # that contain images that are to be included in the documentation (see the
 # \image command).
 
-IMAGE_PATH             =
+IMAGE_PATH             = docs/data/doxygenInputs \
+                         docs/data/doxygenOutputs
 
 # The INPUT_FILTER tag can be used to specify a program that doxygen should
 # invoke to filter for each input file. Doxygen will invoke the filter program
@@ -1714,7 +1725,7 @@ FULL_SIDEBAR           = NO
 # Minimum value: 0, maximum value: 20, default value: 4.
 # This tag requires that the tag GENERATE_HTML is set to YES.
 
-ENUM_VALUES_PER_LINE   = 4
+ENUM_VALUES_PER_LINE   = 1
 
 # If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
 # to set the initial width (in pixels) of the frame in which the tree is shown.
@@ -2327,7 +2338,7 @@ ENABLE_PREPROCESSING   = YES
 # The default value is: NO.
 # This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
 
-MACRO_EXPANSION        = NO
+MACRO_EXPANSION        = YES
 
 # If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES then
 # the macro expansion is limited to the macros specified with the PREDEFINED and
@@ -2335,7 +2346,7 @@ MACRO_EXPANSION        = NO
 # The default value is: NO.
 # This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
 
-EXPAND_ONLY_PREDEF     = NO
+EXPAND_ONLY_PREDEF     = YES
 
 # If the SEARCH_INCLUDES tag is set to YES, the include files in the
 # INCLUDE_PATH will be searched if a #include is found.
@@ -2368,7 +2379,7 @@ INCLUDE_FILE_PATTERNS  =
 # recursively expanded use the := operator instead of the = operator.
 # This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
 
-PREDEFINED             =
+PREDEFINED             = GPU_SUPPORT RPP_BACKEND_HIP HIP_COMPILE
 
 # If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then this
 # tag can be used to specify a list of macro names that should be expanded. The
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index 617b70710..047fac7da 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -6,7 +6,7 @@
 version: 2
 updates:
   - package-ecosystem: "pip" # See documentation for possible values
-    directory: "/docs/.sphinx" # Location of package manifests
+    directory: "/docs/sphinx" # Location of package manifests
     open-pull-requests-limit: 10
     schedule:
       interval: "daily"
@@ -14,6 +14,6 @@ updates:
     labels:
       - "documentation"
       - "dependencies"
-      - "noCI"
+      - "ci:docs-only"
     reviewers:
       - "samjwu"
diff --git a/.jenkins/common.groovy b/.jenkins/common.groovy
index e1c01db71..89fa946f3 100644
--- a/.jenkins/common.groovy
+++ b/.jenkins/common.groovy
@@ -76,8 +76,9 @@ def runPackageCommand(platform, project) {
                 cd ${project.paths.project_build_prefix}/build/release
                 sudo make package
                 mkdir -p package
-                mv *.${packageType} package/
-                ${packageInfo} package/*.${packageType}
+                mv rpp*.${packageType} package/
+                ${packageInfo} package/rpp-dev*.${packageType}
+                ${packageInfo} package/rpp_*.${packageType}
                 """
 
     platform.runCommand(this, command)
diff --git a/.readthedocs.yaml b/.readthedocs.yaml
index e2bf130c1..9e6678abe 100644
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -10,11 +10,9 @@ formats: [htmlzip, pdf, epub]
 
 python:
    install:
-   - requirements: docs/.sphinx/requirements.txt
+   - requirements: docs/sphinx/requirements.txt
 
 build:
-   os: ubuntu-20.04
+   os: ubuntu-22.04
    tools:
       python: "3.8"
-   apt_packages:
-     - "doxygen"
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 310177b6d..6c439d35d 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,58 +1,143 @@
-# ROCm Performance Primitives Library
+# Changelog for RPP
 
-## Changelog
+Full documentation for RPP is available at (https://rocm.docs.amd.com/projects/rpp/en/latest/).
 
-### Online Documentation
-[RPP Documentation](https://gpuopen-professionalcompute-libraries.github.io/rpp/)
+### RPP 1.5.0 (unreleased)
 
-### RPP 1.2.0
+### Changes
 
-#### Added
-* Updated Unit Tests
+* Prerequisites
 
-#### Optimizations
-* CMakeLists 
+### Tested configurations
+
+* Linux distribution
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`
+  * RHEL - `8`/`9`
+* ROCm: rocm-core - `5.5.0.50500-63`
+* Clang - Version `5.0.1` and above
+* CMake - Version `3.22.3`
+* IEEE 754-based half-precision floating-point library - Version `1.12.0`
+
+## RPP 1.4.0
+
+### Additions
+
+* Updated unit tests
+* Component-based packaging enabled for dev/runtime/ASan
+* ASas build install/package changes added
+* License file added to package
+* Jenkins Groovy CI scripts enhanced to support multi-component package testing
+
+### Optimizations
+
+* CMakeLists
+
+### Changes
+
+* Documentation
+* Replaced boost functions with the standard C++ library to remove boost library dependency
+
+### Fixes
+
+* OCL backend
+
+### Tested configurations
+
+* Linux
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`
+  * RHEL - `8`/`9`
+* ROCm: rocm-core - `5.5.0.50500-63`
+* Clang - Version `5.0.1` and above
+* CMake - Version `3.22.3`
+* IEEE 754-based half-precision floating-point library - Version `1.12.0`
+
+## RPP 1.3.0
+
+### Additions
+
+* Updated unit tests
+
+### Optimizations
+
+* CMakeLists
+
+### Changes
+
+* Documentation
+
+### Fixes
+
+* OCL backend
+
+### Tested configurations
+
+* Linux
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`
+  * RHEL - `8`/`9`
+* ROCm: rocm-core - `5.5.0.50500-63`
+* Clang - Version `5.0.1` and above
+* CMake - Version `3.22.3`
+* Boost - Version `1.72`
+* IEEE 754-based half-precision floating-point library - Version `1.12.0`
+
+## RPP 1.2.0
+
+### Additions
+
+* Updated unit tests
+
+### Optimizations
+
+* CMakeLists
+
+### Changes
 
-#### Changed
 * Documentation
 
-#### Fixed
-* OCL Backend
+### Fixes
+
+* OCL backend
 * Jenkins CI - OCL Build Test
 
-### Tested Configurations
-* Linux distribution
-  + Ubuntu - `20.04` / `22.04`
-  + CentOS - `7`
-  + RHEL - `8`/`9`
+### Tested configurations
+
+* Linux
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`
+  * RHEL - `8`/`9`
 * ROCm: rocm-core - `5.5.0.50500-63`
 * Clang - Version `5.0.1` and above
 * CMake - Version `3.22.3`
 * Boost - Version `1.72`
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
-### Known issues
-* 
+## RPP 1.1.0
+
+### Additions
+
+* Parameter support for OpenMP numthreads
+
+### Optimizations
 
-### RPP 1.1.0
+* Readme updates
 
-#### Added
-* OpenMP - parameter support for OpenMP numthreads
+### Changes
 
-#### Optimizations
-* Readme Updates
+* RPP API updates
 
-#### Changed
-* RPP - API Updated
+### Fixes
 
-#### Fixed
 * Minor bugs
 
-### Tested Configurations
-* Linux distribution
-  + Ubuntu - `20.04` / `22.04`
-  + CentOS - `7`
-  + RHEL - `8`/`9`
+### Tested configurations
+
+* Linux
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`
+  * RHEL - `8`/`9`
 * ROCm: rocm-core - `5.5.0.50500-63`
 * Clang - Version `5.0.1` and above
 * CMake - Version `3.22.3`
@@ -60,144 +145,162 @@
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
 ### Known issues
-* SLES - Clang package missing with latest updates. Need manual Clang install.
 
-### RPP 1.0.0
+* SLES - the Clang package is missing in the latest updates, which means Clang must be manually
+  installed.
+
+## RPP 1.0.0
+
+### Additions
 
-#### Added
 * Test Suite for all backends
 
-#### Optimizations
-* Readme Updates
+### Optimizations
+
+* Readme updates
 * Tests
-* Build & Prerequisites 
+* Build and prerequisites
+
+### Changes
+
+* Our name has changed from *Radeon Performance Primitives* to *ROCm Performance Primitives*
+* Lib name: `amd_rpp` to `rpp`
 
-#### Changed
-* Radeon Performance Primitives to ROCm Performance Primitives
-* Lib Name - `amd_rpp` to `rpp`
+### Fixes
 
-#### Fixed
 * Minor bugs
 * Tests
 * Readme
 
-### Tested Configurations
-* Linux distribution
-  + Ubuntu - `20.04` / `22.04`
-  + CentOS - `7`
-  + RHEL - `8`/`9`
+### Tested configurations
+
+* Linux
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`
+  * RHEL - `8`/`9`
 * ROCm: rocm-core - `5.4.0.50400-72`
 * Clang - Version `5.0.1` and above
-* CMake - Version `3.22.3` 
+* CMake - Version `3.22.3`
 * Boost - Version `1.72`
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
 ### Known issues
-* SLES - Clang package missing with latest updates. Need manual Clang install.
 
-### RPP 0.99
+* SLES - the Clang package is missing in the latest updates, which means Clang must be manually
+  installed.
+
+## RPP 0.99
+
+### Additions
+
+* Linux dockers
 
-#### Added
-* Linux Dockers
+### Optimizations
 
-#### Optimizations
-* Readme Updates
+* Readme updates
+
+### Changes
 
-#### Changed
 * CMakeList
 
-#### Fixed
+### Fixes
+
 * Minor bugs and warnings
 
-### Tested Configurations
+### Tested configurations
+
 * Linux distribution
-  + Ubuntu - `20.04` / `22.04`
-  + CentOS - `7`/`8`
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`/`8`
 * ROCm: rocm-core - `5.4.0.50400-72`
 * Clang - Version `5.0.1` and above
-* CMake - Version `3.22.3` 
+* CMake - Version `3.22.3`
 * Boost - Version `1.72`
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
-### Known issues
-* 
-
-### RPP 0.98
+## RPP 0.98
 
-#### Added
+### Additions
 * Dockers
 
-#### Optimizations
-* Readme Updates
 
-#### Changed
+### Optimizations
+
+* Readme updates
+
+#### Changes
+
 * CMakeList
 
-#### Fixed
+#### Fixes
+
 * Minor bugs and warnings
 
-### Tested Configurations
-* Linux distribution
-  + Ubuntu - `20.04` / `22.04`
-  + CentOS - `7`/`8`
+### Tested configurations
+
+* Linux
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`/`8`
 * ROCm: rocm-core - `5.3.0.50300-63`
 * Clang - Version `5.0.1` and above
-* CMake - Version `3.22.3` 
+* CMake - Version `3.22.3`
 * Boost - Version `1.72`
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
-### Known issues
-* 
+## RPP 0.97
 
-### RPP 0.97
+### Additions
 
-#### Added
 * Support for CentOS 7 & SLES 15 SP2
-* Support for ROCm 5.3+ 
+* Support for ROCm 5.3+
 * Support for Ubuntu 22.04
 
-#### Optimizations
-* Readme Updates
+### Optimizations
+
+* Readme updates
 
-#### Changed
+### Changes
 
-* CMakeList Updates
+* CMakeList updates
+
+### Fixes
 
-#### Fixed
 * Minor bugs and warnings
 
-### Tested Configurations
+### Tested configurations
+
 * Linux distribution
-  + Ubuntu - `20.04` / `22.04`
-  + CentOS - `7`/`8`
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`/`8`
 * ROCm: rocm-core - `5.3.0.50300-36`
 * Clang - Version `5.0.1` and above
-* CMake - Version `3.22.3` 
+* CMake - Version `3.22.3`
 * Boost - Version `1.72`
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
-### Known issues
-* 
+## RPP 0.96
+
+### Additions
 
-### RPP 0.96
+* New tests
 
-#### Added
-* New Tests
+### Optimizations
 
-#### Optimizations
-* Readme Updates
+* Readme updates
 
-#### Changed
+### Changes
 
-* `CPU`/`HIP`/`OpenCL` Backend Updates
+* `CPU`/`HIP`/`OpenCL` backend updates
+
+### Fixes
 
-#### Fixed
 * Minor bugs and warnings
 
-### Tested Configurations
-* Linux distribution
-  + Ubuntu - `18.04` / `20.04`
-  + CentOS - `8`
+### Tested configurations
+
+* Linux
+  * Ubuntu - `18.04` / `20.04`
+  * CentOS - `8`
 * ROCm: rocm-core - `5.2.0.50200-65`
 * Clang - Version `6.0+`
 * CMake - Version `3.22.3`
@@ -205,27 +308,33 @@
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
 ### Known issues
-* RPP Build on CentOS 7 & SLES SP2 Not Supported
 
-### RPP 0.95
+* RPP is not supported on CentOS 7 and SLES SP2
+
+## RPP 0.95
+
+### Additions
+
+* New tests
+* CPU backend support
 
-#### Added
-* New Tests
+### Optimizations
 
-#### Optimizations
-* Readme Updates
+* Readme updates
 
-#### Changed
-* **Backend** - Default Backend set to `HIP`
-* CPU Backend Added
+### Changes
+
+* `HIP` is now the default backend
+
+### Fixes
 
-#### Fixed
 * Minor bugs and warnings
 
-### Tested Configurations
-* Linux distribution
-  + Ubuntu - `18.04` / `20.04`
-  + CentOS - `8`
+### Tested configurations
+
+* Linux
+  * Ubuntu - `18.04` / `20.04`
+  * CentOS - `8`
 * ROCm: rocm-core - `5.2.0.50200-65`
 * Clang - Version `6.0`
 * CMake - Version `3.22.3`
@@ -233,26 +342,32 @@
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
 ### Known issues
-* `ROCm reorganization` - install updates does not match ROCm specification 
 
-### RPP 0.93
+* ROCm reorganization: install updates no longer match ROCm specifications
+
+## RPP 0.93
+
+### Additions
 
-#### Added
-* New Tests
+* New tests
 
-#### Optimizations
-* Readme Updates
+### Optimizations
 
-#### Changed
-* **Backend** - Default Backend set to `HIP`
+* Readme updates
+
+### Changes
+
+* `HIP` is now the default backend
+
+### Fixes
 
-#### Fixed
 * Minor bugs and warnings
 
-### Tested Configurations
-* Linux distribution
-  + Ubuntu - `18.04` / `20.04`
-  + CentOS - `8`
+### Tested configurations
+
+* Linux
+  * Ubuntu - `18.04` / `20.04`
+  * CentOS - `8`
 * ROCm: rocm-core - `5.0.0.50000-49`
 * Clang - Version `6.0`
 * CMake - Version `3.22.3`
@@ -260,4 +375,5 @@
 * IEEE 754-based half-precision floating-point library - Version `1.12.0`
 
 ### Known issues
-* `CPU` only backend not enabled
+
+* `CPU` backend is not enabled
\ No newline at end of file
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 0bdb868f6..49eacaf0f 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -20,12 +20,13 @@
 
 cmake_minimum_required(VERSION 3.5)
 set(CMAKE_CXX_COMPILER clang++)
-set(CMAKE_CXX_STANDARD 14)
-
-project(rpp CXX)
+set(CMAKE_CXX_STANDARD 17)
 
 # RPP Version
-set(VERSION "1.3.0")
+set(VERSION "1.5.0")
+
+# Set Project Version and Language
+project(rpp VERSION ${VERSION} LANGUAGES CXX)
 
 set(CMAKE_INSTALL_LIBDIR "lib" CACHE STRING "Library install directory")
 include(GNUInstallDirs)
@@ -39,7 +40,13 @@ find_program(RPMBUILD_EXE rpmbuild)
 find_program(DPKG_EXE dpkg)
 
 # ROCm Path
-set(ROCM_PATH /opt/rocm CACHE PATH "RPP default ROCm installation path")
+if(DEFINED ENV{ROCM_PATH})
+  set(ROCM_PATH $ENV{ROCM_PATH} CACHE PATH "Default ROCm installation path")
+elseif(ROCM_PATH)
+  message("-- INFO:ROCM_PATH Set -- ${ROCM_PATH}")
+else()
+  set(ROCM_PATH /opt/rocm CACHE PATH "Default ROCm installation path")
+endif()
 # Avoid setting the default path to /usr/local
 if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)
   set(CMAKE_INSTALL_PREFIX ${ROCM_PATH} CACHE PATH "RPP default ROCm installation path" FORCE)
@@ -77,7 +84,7 @@ else()
         set(BACKEND "OCL")
     elseif("${BACKEND}" STREQUAL "HIP" OR "${BACKEND}" STREQUAL "hip")
         set(BACKEND "HIP")
-    elseif("${BACKEND}" STREQUAL "host" OR "${BACKEND}" STREQUAL "CPU" OR "${BACKEND}" STREQUAL "cpu")
+    elseif("${BACKEND}" STREQUAL "host" OR "${BACKEND}" STREQUAL "HOST" OR "${BACKEND}" STREQUAL "CPU" OR "${BACKEND}" STREQUAL "cpu")
         set(BACKEND "CPU")
     else()
         message("-- ${Red}Warning: ${PROJECT_NAME} backend option: ${BACKEND} -- unknown${ColourReset}")
@@ -120,13 +127,9 @@ if("${CMAKE_CURRENT_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}")
 endif()
 list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake)
 
-# BOOST
-option(Boost_USE_STATIC_LIBS "Use boost static libraries" OFF)
-set(BOOST_COMPONENTS filesystem system)
-add_definitions(-DBOOST_ALL_NO_LIB=1)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
+# Half
+find_package(HALF REQUIRED)
+include_directories(${HALF_INCLUDE_DIRS})
 
 # OpenMP
 find_package(OpenMP REQUIRED)
@@ -150,7 +153,10 @@ if(APPLE)
 else()
     set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
     set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}")
+    # STD Filesystem
+    set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} stdc++fs)
 endif()
+include_directories(${OpenMP_INCLUDE_DIRS})
 set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} OpenMP::OpenMP_CXX)
 
 # Threads
@@ -162,8 +168,8 @@ set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} Threads::Threads)
 # -fPIC -- Generate position-independent code if possible.
 # -mavx2 -- Support MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX and AVX2 built-in functions and code generation.
 # -mfma -- Support MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX and FMA built-in functions and code generation.
-# -std=gnu++14 -- Conform to the ISO 2014 C++ standard with GNU extensions.
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC -mavx2 -mf16c -mfma -std=gnu++14")
+# -std=gnu++17 -- Conform to the ISO 2017 C++ standard with GNU extensions.
+set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC -mavx2 -mf16c -mfma -std=gnu++17")
 
 # Backend specific settings
 if("${BACKEND}" STREQUAL "HIP")
@@ -177,7 +183,8 @@ if("${BACKEND}" STREQUAL "HIP")
             set(HIP_PATH $ENV{HIP_PATH} CACHE PATH "Path to which HIP has been installed")
         endif()
     endif()
-    list(APPEND CMAKE_PREFIX_PATH ${ROCM_PATH}/hip ${ROCM_PATH})
+
+    list(APPEND CMAKE_PREFIX_PATH ${ROCM_PATH} ${ROCM_PATH}/hip)
     set(DEFAULT_AMDGPU_TARGETS "gfx803;gfx900;gfx906;gfx908;gfx90a;gfx940;gfx1030;gfx1100")
     if (BUILD_WITH_AMD_ADVANCE)
         set(DEFAULT_AMDGPU_TARGETS ${DEFAULT_AMDGPU_TARGETS} "gfx941")
@@ -262,13 +269,15 @@ else()
     message("-- ${Red}${PROJECT_NAME} set to build without ENABLE_SIMD_INTRINSICS${ColourReset}")
 endif()
 
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} stdc++)
 message("-- ${White}${PROJECT_NAME} -- Using Compiler - Path:" ${CMAKE_CXX_COMPILER} "\tVersion:" ${CMAKE_CXX_COMPILER_VERSION} "\tCompiler:" ${CMAKE_CXX_COMPILER_ID}${ColourReset})
 message("-- ${White}${PROJECT_NAME} -- CMAKE_CXX_FLAGS:${CMAKE_CXX_FLAGS}${ColourReset}")
 message("-- ${White}${PROJECT_NAME} -- Link Libraries: ${LINK_LIBRARY_LIST}${ColourReset}")
 target_link_libraries(${PROJECT_NAME} ${LINK_LIBRARY_LIST})
 set_target_properties(${PROJECT_NAME} PROPERTIES POSITION_INDEPENDENT_CODE ON)
 set_target_properties(${PROJECT_NAME} PROPERTIES LINKER_LANGUAGE CXX)
+set_target_properties(${PROJECT_NAME} PROPERTIES
+                      VERSION ${PROJECT_VERSION}
+                      SOVERSION ${PROJECT_VERSION_MAJOR})
 
 target_include_directories(${PROJECT_NAME}
     PUBLIC
@@ -297,17 +306,33 @@ add_subdirectory(addkernels)
 
 # Installation
 # install RPP libs -- {ROCM_PATH}/lib
-install(TARGETS ${PROJECT_NAME} LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR})
+install(TARGETS ${PROJECT_NAME} LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR} COMPONENT runtime NAMELINK_SKIP)
+install(TARGETS ${PROJECT_NAME} LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR} COMPONENT dev NAMELINK_ONLY)
+install(TARGETS ${PROJECT_NAME} LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR} COMPONENT asan)
+
 # install RPP include files -- {ROCM_PATH}/include/rpp/
-install(DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/include/ DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/rpp PATTERN "*.h.in" EXCLUDE)
-install(FILES ${PROJECT_BINARY_DIR}/include/rpp_backend.h DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/rpp)
+install(DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/include/ DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/rpp
+       COMPONENT dev
+       PATTERN "*.h.in" EXCLUDE)
+install(FILES ${PROJECT_BINARY_DIR}/include/rpp_backend.h
+       DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/rpp
+       COMPONENT dev)
+
+# set license information
+set(CPACK_RESOURCE_FILE_LICENSE  "${CMAKE_CURRENT_SOURCE_DIR}/LICENSE")
+install(FILES ${CPACK_RESOURCE_FILE_LICENSE} DESTINATION ${CMAKE_INSTALL_DOCDIR}-asan COMPONENT asan)
+install(FILES ${CPACK_RESOURCE_FILE_LICENSE} DESTINATION ${CMAKE_INSTALL_DOCDIR} COMPONENT runtime)
 
 enable_testing()
 include(CTest)
-add_subdirectory(utilities/rpp-unittests)
+add_subdirectory(utilities/rpp-unittests) # TBD - phaseout unittests
+add_subdirectory(utilities/test_suite) # TBD - Expand use-cases
 
 # Set package information
-set(CPACK_PACKAGE_VERSION       ${VERSION})
+set(CPACK_PACKAGE_VERSION_MAJOR ${PROJECT_VERSION_MAJOR})
+set(CPACK_PACKAGE_VERSION_MINOR ${PROJECT_VERSION_MINOR})
+set(CPACK_PACKAGE_VERSION_PATCH ${PROJECT_VERSION_PATCH})
+set(CPACK_PACKAGE_VERSION "${CPACK_PACKAGE_VERSION_MAJOR}.${CPACK_PACKAGE_VERSION_MINOR}.${CPACK_PACKAGE_VERSION_PATCH}")
 set(CPACK_PACKAGE_NAME          "rpp")
 set(CPACK_PACKAGE_LICENSE       "MIT")
 set(CPACK_PACKAGE_CONTACT       "mivisionx support <mivisionx.support@amd.com>")
@@ -379,4 +404,57 @@ else()
     endif()
 endif()
 
+
+set(CPACK_DEB_COMPONENT_INSTALL ON)
+set(CPACK_DEBIAN_RUNTIME_PACKAGE_NAME "${PROJECT_NAME}")
+set(CPACK_DEBIAN_RUNTIME_PACKAGE_DEPENDS "rocm-core")
+set(CPACK_DEBIAN_DEV_PACKAGE_NAME "${PROJECT_NAME}-dev")
+set(CPACK_DEBIAN_DEV_PACKAGE_DEPENDS "${PROJECT_NAME}, rocm-core")
+# Debian package specific variable for ASAN
+set(CPACK_DEBIAN_ASAN_PACKAGE_NAME "${PROJECT_NAME}-asan" )
+set(CPACK_DEBIAN_ASAN_PACKAGE_DEPENDS "${PROJECT_NAME},rocm-core-asan" )
+set(CPACK_RPM_COMPONENT_INSTALL ON)
+set(CPACK_RPM_RUNTIME_PACKAGE_NAME "${PROJECT_NAME}")
+set(CPACK_RPM_RUNTIME_PACKAGE_REQUIRES "rocm-core")
+set(CPACK_RPM_DEV_PACKAGE_NAME "${PROJECT_NAME}-devel")
+set(CPACK_RPM_DEV_PACKAGE_REQUIRES "${PROJECT_NAME}, rocm-core")
+set(CPACK_RPM_RUNTIME_PACKAGE_PROVIDES "${PROJECT_NAME}")
+set(CPACK_RPM_RUNTIME_PACKAGE_OBSOLETES "${PROJECT_NAME}")
+set(CPACK_RPM_DEV_PACKAGE_PROVIDES "${PROJECT_NAME}-dev")
+set(CPACK_RPM_DEV_PACKAGE_OBSOLETES "${PROJECT_NAME}-dev")
+set(CPACK_RPM_PACKAGE_LICENSE "MIT" )
+# RPM package specific variable for ASAN
+set(CPACK_RPM_ASAN_PACKAGE_NAME "${PROJECT_NAME}-asan" )
+set(CPACK_RPM_ASAN_PACKAGE_REQUIRES "rocm-core-asan" )
+
+
+if(NOT ROCM_DEP_ROCMCORE)
+  string(REGEX REPLACE ",? ?rocm-core" "" CPACK_RPM_RUNTIME_PACKAGE_REQUIRES ${CPACK_RPM_RUNTIME_PACKAGE_REQUIRES})
+  string(REGEX REPLACE ",? ?rocm-core-asan" "" CPACK_RPM_ASAN_PACKAGE_REQUIRES ${CPACK_RPM_ASAN_PACKAGE_REQUIRES})
+  string(REGEX REPLACE ",? ?rocm-core" "" CPACK_RPM_DEV_PACKAGE_REQUIRES ${CPACK_RPM_DEV_PACKAGE_REQUIRES})
+  string(REGEX REPLACE ",? ?rocm-core" "" CPACK_DEBIAN_RUNTIME_PACKAGE_DEPENDS ${CPACK_DEBIAN_RUNTIME_PACKAGE_DEPENDS})
+  string(REGEX REPLACE ",? ?rocm-core-asan" "" CPACK_DEBIAN_ASAN_PACKAGE_DEPENDS ${CPACK_DEBIAN_ASAN_PACKAGE_DEPENDS})
+  string(REGEX REPLACE ",? ?rocm-core" "" CPACK_DEBIAN_DEV_PACKAGE_DEPENDS ${CPACK_DEBIAN_DEV_PACKAGE_DEPENDS})
+endif()
+
+if(ENABLE_ASAN_PACKAGING)
+  # ASAN Package requires asan component with only libraries and license file
+  set(CPACK_COMPONENTS_ALL asan)
+else()
+  set(CPACK_COMPONENTS_ALL runtime dev)
+endif()
+
 include(CPack)
+
+cpack_add_component(runtime
+   DISPLAY_NAME "Runtime"
+   DESCRIPTION "Library, Header files and documentation for RPP")
+
+cpack_add_component(dev
+    DISPLAY_NAME "Devel"
+    DESCRIPTION "Header files and documentation for RPP")
+
+cpack_add_component(asan
+    DISPLAY_NAME "ASAN"
+    DESCRIPTION "ASAN libraries for the RPP")
+
diff --git a/README.md b/README.md
index 5bf118221..b00913c5b 100644
--- a/README.md
+++ b/README.md
@@ -1,138 +1,147 @@
 [![MIT licensed](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
 [![doc](https://img.shields.io/badge/doc-readthedocs-blueviolet)](https://gpuopen-professionalcompute-libraries.github.io/rpp/)
-[![Build Status](https://travis-ci.com/GPUOpen-ProfessionalCompute-Libraries/rpp.svg?branch=master)](https://travis-ci.com/GPUOpen-ProfessionalCompute-Libraries/rpp)
 
-# ROCm Performance Primitives Library
+# ROCm Performance Primitives library
 
-AMD ROCm Performance Primitives (**RPP**) library is a comprehensive high-performance computer vision library for AMD processors with `HIP`/`OpenCL`/`CPU` back-ends.
-
-## Latest Release
-
-[![GitHub tag (latest SemVer)](https://img.shields.io/github/v/tag/GPUOpen-ProfessionalCompute-Libraries/rpp?style=for-the-badge)](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases)
-
-## Top level design
+AMD ROCm Performance Primitives (RPP) library is a comprehensive, high-performance computer
+vision library for AMD processors that have `HIP`, `OpenCL`, or `CPU` backends.
 
 <p align="center"><img width="50%" src="https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/raw/master/docs/data/rpp_structure_4.png" /></p>
 
-## Supported Functionalities and Variants
+The latest RPP release is: [![GitHub tag (latest SemVer)](https://img.shields.io/github/v/tag/GPUOpen-ProfessionalCompute-Libraries/rpp?style=for-the-badge)](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases)
 
-### Supported Functionalities List
+## Supported functionalities and variants
 
 <p align="center"><img width="90%" src="https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/raw/master/docs/data/supported_functionalities.png" /></p>
 
-### Supported Functionalities Samples
-
 <p align="center"><img width="90%" src="https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/raw/master/docs/data/supported_functionalities_samples.jpg" /></p>
 
 ## Documentation
 
-Run the steps below to build documentation locally.
+You can build our documentation locally using the following code:
 
-* sphinx documentation
-```bash
-cd docs
-pip3 install -r .sphinx/requirements.txt
-python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
-```
+* Sphinx
 
-* Doxygen 
-```
-doxygen .Doxyfile
-```
+  ```bash
+  cd docs
+  pip3 install -r .sphinx/requirements.txt
+  python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
+  ```
+
+* Doxygen
+
+  ```bash
+  doxygen .Doxyfile
+  ```
 
 ## Prerequisites
 
-* **OS**
-  + Ubuntu `20.04`/`22.04`
-  + CentOS `7`/`8`
-  + RHEL `8`/`9`
-  + SLES - `15-SP4`
+Refer to our
+[Linux GPU and OS support](https://rocm.docs.amd.com/en/latest/release/gpu_os_support.html)
+page to see if your system is supported.
 
-* [ROCm supported hardware](https://docs.amd.com/bundle/Hardware_and_Software_Reference_Guide/page/Hardware_and_Software_Support.html)
+To use RPP, you must have installed the following:
 
-* [ROCm](https://docs.amd.com/bundle/ROCm-Installation-Guide-v5.4.3/page/How_to_Install_ROCm.html) `5.4.3` and above
+* ROCm
+  For ROCm installation instructions, see
+  [Linux quick-start](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html).
 
 * Clang Version `5.0.1` and above
 
-  + Ubuntu `20`/`22`
-    ```
+  * Ubuntu `20`/`22`
+
+    ```bash
     sudo apt-get install clang
     ```
 
-  + CentOS `7`
-    ```
+  * CentOS `7`
+
+    ```bash
     sudo yum install llvm-toolset-7-clang llvm-toolset-7-clang-analyzer llvm-toolset-7-clang-tools-extra
     scl enable llvm-toolset-7 bash
     ```
 
-  + CentOS `8` and RHEL `8`/`9`
-    ```
+  * RHEL `8`/`9`
+
+    ```bash
     sudo yum install clang
     ```
 
-  + SLES `15-SP4`
-    ```
+  * SLES `15-SP4` (use `ROCm LLVM Clang`)
+
+    ```bash
     zypper -n --no-gpg-checks install clang
     update-alternatives --install /usr/bin/clang clang /opt/rocm-*/llvm/bin/clang 100
     update-alternatives --install /usr/bin/clang++ clang++ /opt/rocm-*/llvm/bin/clang++ 100
     ```
-    **NOTE:** Use `ROCm LLVM Clang`
 
 * CMake Version `3.5` and above
 
-* Boost Version `1.66` and above
-  ```
-  wget https://boostorg.jfrog.io/artifactory/main/release/1.72.0/source/boost_1_72_0.tar.gz
-  tar -xzvf boost_1_72_0.tar.gz
-  cd boost_1_72_0
-  ./bootstrap.sh
-  ./b2 install
-  ```
-  + **NOTE:** [Install from source](https://www.boost.org/doc/libs/1_72_0/more/getting_started/unix-variants.html#easy-build-and-install)
+* IEEE 754-based half-precision floating-point library (half.hpp)
 
-* IEEE 754-based half-precision floating-point library - half.hpp
+  * Use the `half` package with ROCm
 
-  ```
+    ```bash
+    sudo apt-get install half
+    ```
+
+   Note that you must use the correct package management utility (`zypper`/`yum`).
+
+  * Install from source
+
+  ```bash
   wget https://sourceforge.net/projects/half/files/half/1.12.0/half-1.12.0.zip
   unzip half-1.12.0.zip -d half-files
   sudo mkdir /usr/local/include/half
   sudo cp half-files/include/half.hpp /usr/local/include/half
   ```
 
-## Prerequisites for Test Suite
+* Compiler with support for C++ Version `17` and above
+* OpenMP
+* Threads
 
-* OpenCV `3.4.0`/`4.5.5` - **pre-requisites**
-  ```
-  sudo apt-get update
-  sudo -S apt-get -y --allow-unauthenticated install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libswscale-dev python-dev python-numpy
-  sudo -S apt-get -y --allow-unauthenticated install libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev unzip wget
-  ```
+### Test suite prerequisites
 
-* OpenCV `3.4.0` /`4.5.5` - **download**
-  ```
-  wget https://github.com/opencv/opencv/archive/3.4.0.zip
-  unzip 3.4.0.zip
-  cd opencv-3.4.0/
-  ```
-  OR
-  ```
-  wget https://github.com/opencv/opencv/archive/4.5.5.zip
-  unzip 4.5.5.zip
-  cd opencv-4.5.5/
-  ```
+* OpenCV `3.4.0`/`4.5.5`
 
-* OpenCV `3.4.0`/`4.5.5` - **installation**
-  ```
-  mkdir build
-  cd build
-  cmake -D WITH_GTK=ON -D WITH_JPEG=ON -D BUILD_JPEG=ON -D WITH_OPENCL=OFF -D WITH_OPENCLAMDFFT=OFF -D WITH_OPENCLAMDBLAS=OFF -D WITH_VA_INTEL=OFF -D WITH_OPENCL_SVM=OFF -D CMAKE_INSTALL_PREFIX=/usr/local ..
-  sudo -S make -j128 <Or other number of threads to use>
-  sudo -S make install
-  sudo -S ldconfig
-  ```
+  * Install OpenCV prerequisites:
 
-* TurboJpeg installation
-  ```
+    ```bash
+    sudo apt-get update
+    sudo -S apt-get -y --allow-unauthenticated install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libswscale-dev python-dev python-numpy
+    sudo -S apt-get -y --allow-unauthenticated install libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev unzip wget
+    ```
+
+  * Download OpenCV `3.4.0` /`4.5.5`:
+
+    ```bash
+    wget https://github.com/opencv/opencv/archive/3.4.0.zip
+    unzip 3.4.0.zip
+    cd opencv-3.4.0/
+    ```
+
+    OR
+
+    ```bash
+    wget https://github.com/opencv/opencv/archive/4.5.5.zip
+    unzip 4.5.5.zip
+    cd opencv-4.5.5/
+    ```
+
+  * Install OpenCV:
+
+    ```bash
+    mkdir build
+    cd build
+    cmake -D WITH_GTK=ON -D WITH_JPEG=ON -D BUILD_JPEG=ON -D WITH_OPENCL=OFF -D WITH_OPENCLAMDFFT=OFF -D WITH_OPENCLAMDBLAS=OFF -D WITH_VA_INTEL=OFF -D WITH_OPENCL_SVM=OFF -D CMAKE_INSTALL_PREFIX=/usr/local ..
+    sudo -S make -j128 <Or other number of threads to use>
+    sudo -S make install
+    sudo -S ldconfig
+    ```
+
+* Install TurboJpeg:
+
+  ```bash
   sudo apt-get install nasm
   sudo apt-get install wget
   git clone -b 2.0.6.1 https://github.com/rrawther/libjpeg-turbo.git
@@ -154,80 +163,87 @@ doxygen .Doxyfile
   sudo apt-get install libsndfile1-dev
   ```
 
-## Build & Install RPP 
-
-The ROCm Performance Primitives (RPP) library has support for three backends: HIP, OpenCL, and CPU:
-
-* Building RPP with the **HIP** backend **(default)**:
-```
-$ git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
-$ mkdir build && cd build
-$ cmake -DBACKEND=HIP ../rpp
-$ make -j8
-$ sudo make install
-```
-
-* Building RPP with the **OPENCL** backend:
-```
-$ git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
-$ mkdir build && cd build
-$ cmake -DBACKEND=OCL ../rpp
-$ make -j8
-$ sudo make install
-```
-
-* Building RPP with the **CPU** backend:
-```
-$ git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
-$ mkdir build && cd build
-$ cmake -DBACKEND=CPU ../rpp
-$ make -j8
-$ sudo make install
-```
-## Test Functionalities
+## Build and install RPP
 
-### CPU installation
+To build and install RPP, run the code shown for your backend:
 
-    $ cd rpp/utilities/rpp-unittests/HOST_NEW
-    $ ./testAllScript.sh
+* HIP (default)
 
-### OCL installation
+  ```bash
+  git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
+  mkdir build && cd build
+  cmake -DBACKEND=HIP ../rpp
+  make -j8
+  sudo make install
+  ```
+
+* OpenCL
+
+  ```bash
+  git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
+  mkdir build && cd build
+  cmake -DBACKEND=OCL ../rpp
+  make -j8
+  sudo make install
+  ```
+
+* CPU
+
+  ```bash
+  git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
+  mkdir build && cd build
+  cmake -DBACKEND=CPU ../rpp
+  make -j8
+  sudo make install
+  ```
+
+## Test Functionalities
 
-    $ cd rpp/utilities/rpp-unittests/OCL_NEW
-    $ ./testAllScript.sh
+To test the functionalities of RPP, run the code shown for your backend:
 
-### HIP installation
+* HIP
 
-    $ cd rpp/utilities/rpp-unittests/HIP_NEW
-    $ ./testAllScript.sh
+  ```bash
+    cd rpp/utilities/rpp-unittests/HIP_NEW
+    ./testAllScript.sh
+  ```
+
+* OpenCL
 
-## MIVisionX Support - OpenVX Extension
+  ```bash
+    cd rpp/utilities/rpp-unittests/OCL_NEW
+    ./testAllScript.sh
+  ```
 
-[MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX) RPP Extension [vx_rpp](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/master/amd_openvx_extensions/amd_rpp#amd-rpp-extension) supports RPP functionality through OpenVX Framework.
+  * CPU
 
-## Technical Support
+  ```bash
+    cd rpp/utilities/rpp-unittests/HOST_NEW
+    ./testAllScript.sh
+  ```
 
-Please email `mivisionx.support@amd.com` for questions, and feedback on AMD RPP.
+## MIVisionX support - OpenVX extension
 
-Please submit your feature requests, and bug reports on the [GitHub issues](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/issues) page.
+[MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX) RPP extension
+[vx_rpp](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/master/amd_openvx_extensions/amd_rpp#amd-rpp-extension) supports RPP functionality through the OpenVX Framework.
 
-## Release Notes
+## Technical support
 
-### Latest Release
+For RPP questions and feedback, you can contact us at `mivisionx.support@amd.com`.
 
-[![GitHub tag (latest SemVer)](https://img.shields.io/github/v/tag/GPUOpen-ProfessionalCompute-Libraries/rpp?style=for-the-badge)](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases)
+To submit feature requests and bug reports, use our
+[GitHub issues](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/issues) page.
 
-### Changelog
+## Release notes
 
-Review all notable [changes](CHANGELOG.md#changelog) with the latest release
+All notable changes for each release are added to our [changelog](CHANGELOG.md).
 
-### Tested configurations
+## Tested configurations
 
 * Linux distribution
-  + Ubuntu - `20.04` / `22.04`
-  + CentOS - `7` / `8`
-  + RedHat - `8` / `9`
-  + SLES - `15-SP4`
+  * Ubuntu - `20.04` / `22.04`
+  * CentOS - `7`
+  * RedHat - `8` / `9`
+  * SLES - `15-SP4`
 * ROCm: rocm-core - `5.7.0.50700-63`
-* Protobuf - [V3.12.4](https://github.com/protocolbuffers/protobuf/releases/tag/v3.12.4)
 * OpenCV - [4.6.0](https://github.com/opencv/opencv/releases/tag/4.6.0)
diff --git a/cmake/FindHALF.cmake b/cmake/FindHALF.cmake
new file mode 100644
index 000000000..398a4b651
--- /dev/null
+++ b/cmake/FindHALF.cmake
@@ -0,0 +1,60 @@
+################################################################################
+# 
+# MIT License
+# 
+# Copyright (c) 2023 Advanced Micro Devices, Inc.
+# 
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+# 
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+# 
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+# 
+################################################################################
+find_path(HALF_INCLUDE_DIRS
+    NAMES half/half.hpp
+    HINTS
+    $ENV{HALF_DIR}/include
+    $ENV{ROCM_PATH}/include
+    PATHS
+    ${HALF_DIR}/include
+    /usr/include
+    /usr/local/include
+    ${ROCM_PATH}/include
+)
+mark_as_advanced(HALF_INCLUDE_DIRS)
+
+if(HALF_INCLUDE_DIRS)
+    set(HALF_FOUND TRUE)
+endif( )
+
+include( FindPackageHandleStandardArgs )
+find_package_handle_standard_args( HALF 
+    FOUND_VAR  HALF_FOUND 
+    REQUIRED_VARS
+        HALF_INCLUDE_DIRS 
+)
+
+set(HALF_FOUND ${HALF_FOUND} CACHE INTERNAL "")
+set(HALF_INCLUDE_DIRS ${HALF_INCLUDE_DIRS} CACHE INTERNAL "")
+
+if(HALF_FOUND)
+    message("-- ${White}Using HALF -- \n\tIncludes:${HALF_INCLUDE_DIRS}${ColourReset}")    
+else()
+    if(HALF_FIND_REQUIRED)
+        message(FATAL_ERROR "{Red}FindHALF -- NOT FOUND${ColourReset}")
+    endif()
+    message( "-- ${Yellow}NOTE: FindHALF failed to find -- half.hpp${ColourReset}" )
+endif()
diff --git a/docker/rpp-on-ubuntu20.dockerfile b/docker/rpp-on-ubuntu20.dockerfile
index 9ea94ce91..9be10e486 100644
--- a/docker/rpp-on-ubuntu20.dockerfile
+++ b/docker/rpp-on-ubuntu20.dockerfile
@@ -16,15 +16,9 @@ RUN DEBIAN_FRONTEND=noninteractive apt-get -y install initramfs-tools libnuma-de
         sudo apt-get install -y ./${ROCM_INSTALLER_PACKAGE} && \
         sudo apt-get update -y && \
         sudo amdgpu-install -y --usecase=graphics,rocm
-# install rpp dependencies - half.hpp & boost
+# install rpp dependencies - half.hpp
 RUN wget https://sourceforge.net/projects/half/files/half/1.12.0/half-1.12.0.zip && \
-        unzip half-1.12.0.zip -d half-files && mkdir -p /usr/local/include/half && cp half-files/include/half.hpp /usr/local/include/half && \
-        wget https://boostorg.jfrog.io/artifactory/main/release/1.72.0/source/boost_1_72_0.tar.bz2 && tar xjvf boost_1_72_0.tar.bz2 && \
-        cd boost_1_72_0 && ./bootstrap.sh --prefix=/usr/local --with-python=python3 && \
-        ./b2 stage -j16 threading=multi link=shared cxxflags="-std=c++11" && \
-        ./b2 install threading=multi link=shared --with-system --with-filesystem && \
-        ./b2 stage -j16 threading=multi link=static cxxflags="-std=c++11 -fpic" cflags="-fpic" && \
-        ./b2 install threading=multi link=static --with-system --with-filesystem
+        unzip half-1.12.0.zip -d half-files && mkdir -p /usr/local/include/half && cp half-files/include/half.hpp /usr/local/include/half
 
 ENV RPP_WORKSPACE=/workspace
 WORKDIR $RPP_WORKSPACE
diff --git a/docker/rpp-on-ubuntu22.dockerfile b/docker/rpp-on-ubuntu22.dockerfile
index ffc8f223d..253d752f9 100644
--- a/docker/rpp-on-ubuntu22.dockerfile
+++ b/docker/rpp-on-ubuntu22.dockerfile
@@ -16,16 +16,10 @@ RUN DEBIAN_FRONTEND=noninteractive apt-get -y install initramfs-tools libnuma-de
         sudo apt-get install -y ./${ROCM_INSTALLER_PACKAGE} && \
         sudo apt-get update -y && \
         sudo amdgpu-install -y --usecase=graphics,rocm
-# install rpp dependencies - half.hpp & boost
+# install rpp dependencies - half.hpp
 RUN wget https://sourceforge.net/projects/half/files/half/1.12.0/half-1.12.0.zip && \
         unzip half-1.12.0.zip -d half-files && mkdir -p /usr/local/include/half && cp half-files/include/half.hpp /usr/local/include/half
-RUN apt-get -y install sqlite3 libsqlite3-dev libtool build-essential && \
-    wget https://boostorg.jfrog.io/artifactory/main/release/1.80.0/source/boost_1_80_0.tar.bz2 && tar xjvf boost_1_80_0.tar.bz2 && \
-    cd boost_1_80_0 && ./bootstrap.sh --prefix=/usr/local --with-python=python3 && \
-    ./b2 stage -j16 threading=multi link=shared cxxflags="-std=c++11" && \
-    sudo ./b2 install threading=multi link=shared --with-system --with-filesystem && \
-    ./b2 stage -j16 threading=multi link=static cxxflags="-std=c++11 -fpic" cflags="-fpic" && \
-    sudo ./b2 install threading=multi link=static --with-system --with-filesystem
+RUN apt-get -y install sqlite3 libsqlite3-dev libtool build-essential
 
 ENV RPP_WORKSPACE=/workspace
 WORKDIR $RPP_WORKSPACE
diff --git a/docs/.gitignore b/docs/.gitignore
new file mode 100644
index 000000000..9ba7c3bf3
--- /dev/null
+++ b/docs/.gitignore
@@ -0,0 +1,3 @@
+doxygen/html/
+doxygen/latex/
+doxygen/xml/
diff --git a/docs/.sphinx/_toc.yml.in b/docs/.sphinx/_toc.yml.in
deleted file mode 100644
index f0e9d5e23..000000000
--- a/docs/.sphinx/_toc.yml.in
+++ /dev/null
@@ -1,16 +0,0 @@
-# Anywhere {branch} is used, the branch name will be substituted.
-# These comments will also be removed.
-root: index
-subtrees:
-  - numbered: False
-    entries:
-    - file: design
-    - file: supported_fxn
-    - file: prereq
-    - file: prereq_test
-    - file: build
-    - file: test
-    - file: mivisionx
-    - file: misc
-    - file: tech_support
-    - file: release
diff --git a/docs/.sphinx/requirements.in b/docs/.sphinx/requirements.in
deleted file mode 100644
index 522758999..000000000
--- a/docs/.sphinx/requirements.in
+++ /dev/null
@@ -1 +0,0 @@
-rocm-docs-core==0.24.0
diff --git a/docs/conf.py b/docs/conf.py
index 19311531f..56f5e759e 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -26,13 +26,33 @@
 # list see the documentation:
 # https://www.sphinx-doc.org/en/master/usage/configuration.html
 
+import re
+
 from rocm_docs import ROCmDocs
 
+with open('../CMakeLists.txt', encoding='utf-8') as f:
+    match = re.search(r'.*\bset\(VERSION\s+\"?([0-9.]+)[^0-9.]+', f.read())
+    if not match:
+        raise ValueError("VERSION not found!")
+    version_number = match[1]
+left_nav_title = f"RPP {version_number} Documentation"
+
+# for PDF output on Read the Docs
+project = "RPP Documentation"
+author = "Advanced Micro Devices, Inc."
+copyright = "Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved."
+version = version_number
+release = version_number
+
+external_toc_path = "./sphinx/_toc.yml"
+
+docs_core = ROCmDocs(left_nav_title)
+docs_core.run_doxygen(doxygen_root="doxygen", doxygen_path="doxygen/xml")
+docs_core.enable_api_reference()
+docs_core.setup()
+docs_core.myst_heading_anchors = 6
 
 external_projects_current_project = "rpp"
 
-docs_core = ROCmDocs("RPP Documentation")
-docs_core.setup()
-
 for sphinx_var in ROCmDocs.SPHINX_VARS:
     globals()[sphinx_var] = getattr(docs_core, sphinx_var)
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diff --git a/docs/doxygen/Doxyfile b/docs/doxygen/Doxyfile
new file mode 100644
index 000000000..d307605cd
--- /dev/null
+++ b/docs/doxygen/Doxyfile
@@ -0,0 +1,2796 @@
+# Doxyfile 1.9.7
+
+# This file describes the settings to be used by the documentation system
+# doxygen (www.doxygen.org) for a project.
+#
+# All text after a double hash (##) is considered a comment and is placed in
+# front of the TAG it is preceding.
+#
+# All text after a single hash (#) is considered a comment and will be ignored.
+# The format is:
+# TAG = value [value, ...]
+# For lists, items can also be appended using:
+# TAG += value [value, ...]
+# Values that contain spaces should be placed between quotes (\" \").
+#
+# Note:
+#
+# Use doxygen to compare the used configuration file with the template
+# configuration file:
+# doxygen -x [configFile]
+# Use doxygen to compare the used configuration file with the template
+# configuration file without replacing the environment variables or CMake type
+# replacement variables:
+# doxygen -x_noenv [configFile]
+
+#---------------------------------------------------------------------------
+# Project related configuration options
+#---------------------------------------------------------------------------
+
+# This tag specifies the encoding used for all characters in the configuration
+# file that follow. The default is UTF-8 which is also the encoding used for all
+# text before the first occurrence of this tag. Doxygen uses libiconv (or the
+# iconv built into libc) for the transcoding. See
+# https://www.gnu.org/software/libiconv/ for the list of possible encodings.
+# The default value is: UTF-8.
+
+DOXYFILE_ENCODING      = UTF-8
+
+# The PROJECT_NAME tag is a single word (or a sequence of words surrounded by
+# double-quotes, unless you are using Doxywizard) that should identify the
+# project for which the documentation is generated. This name is used in the
+# title of most generated pages and in a few other places.
+# The default value is: My Project.
+
+PROJECT_NAME           = "RPP"
+
+# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
+# could be handy for archiving the generated documentation or if some version
+# control system is used.
+
+PROJECT_NUMBER         = "V1.5.0"
+
+# Using the PROJECT_BRIEF tag one can provide an optional one line description
+# for a project that appears at the top of each page and should give viewer a
+# quick idea about the purpose of the project. Keep the description short.
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+PROJECT_BRIEF          = "AMD ROCm Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD processors with HIP/OpenCL/CPU back-ends."
+
+# With the PROJECT_LOGO tag one can specify a logo or an icon that is included
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+# the logo to the output directory.
+
+PROJECT_LOGO           = "../data/rocm.png"
+
+# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path
+# into which the generated documentation will be written. If a relative path is
+# entered, it will be relative to the location where doxygen was started. If
+# left blank the current directory will be used.
+
+OUTPUT_DIRECTORY       = .
+
+# If the CREATE_SUBDIRS tag is set to YES then doxygen will create up to 4096
+# sub-directories (in 2 levels) under the output directory of each output format
+# and will distribute the generated files over these directories. Enabling this
+# option can be useful when feeding doxygen a huge amount of source files, where
+# putting all generated files in the same directory would otherwise causes
+# performance problems for the file system. Adapt CREATE_SUBDIRS_LEVEL to
+# control the number of sub-directories.
+# The default value is: NO.
+
+CREATE_SUBDIRS         = NO
+
+# Controls the number of sub-directories that will be created when
+# CREATE_SUBDIRS tag is set to YES. Level 0 represents 16 directories, and every
+# level increment doubles the number of directories, resulting in 4096
+# directories at level 8 which is the default and also the maximum value. The
+# sub-directories are organized in 2 levels, the first level always has a fixed
+# number of 16 directories.
+# Minimum value: 0, maximum value: 8, default value: 8.
+# This tag requires that the tag CREATE_SUBDIRS is set to YES.
+
+CREATE_SUBDIRS_LEVEL   = 8
+
+# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII
+# characters to appear in the names of generated files. If set to NO, non-ASCII
+# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode
+# U+3044.
+# The default value is: NO.
+
+ALLOW_UNICODE_NAMES    = NO
+
+# The OUTPUT_LANGUAGE tag is used to specify the language in which all
+# documentation generated by doxygen is written. Doxygen will use this
+# information to generate all constant output in the proper language.
+# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Bulgarian,
+# Catalan, Chinese, Chinese-Traditional, Croatian, Czech, Danish, Dutch, English
+# (United States), Esperanto, Farsi (Persian), Finnish, French, German, Greek,
+# Hindi, Hungarian, Indonesian, Italian, Japanese, Japanese-en (Japanese with
+# English messages), Korean, Korean-en (Korean with English messages), Latvian,
+# Lithuanian, Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese,
+# Romanian, Russian, Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish,
+# Swedish, Turkish, Ukrainian and Vietnamese.
+# The default value is: English.
+
+OUTPUT_LANGUAGE        = English
+
+# If the BRIEF_MEMBER_DESC tag is set to YES, doxygen will include brief member
+# descriptions after the members that are listed in the file and class
+# documentation (similar to Javadoc). Set to NO to disable this.
+# The default value is: YES.
+
+BRIEF_MEMBER_DESC      = YES
+
+# If the REPEAT_BRIEF tag is set to YES, doxygen will prepend the brief
+# description of a member or function before the detailed description
+#
+# Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the
+# brief descriptions will be completely suppressed.
+# The default value is: YES.
+
+REPEAT_BRIEF           = YES
+
+# This tag implements a quasi-intelligent brief description abbreviator that is
+# used to form the text in various listings. Each string in this list, if found
+# as the leading text of the brief description, will be stripped from the text
+# and the result, after processing the whole list, is used as the annotated
+# text. Otherwise, the brief description is used as-is. If left blank, the
+# following values are used ($name is automatically replaced with the name of
+# the entity):The $name class, The $name widget, The $name file, is, provides,
+# specifies, contains, represents, a, an and the.
+
+ABBREVIATE_BRIEF       = "The $name class" \
+                         "The $name widget" \
+                         "The $name file" \
+                         is \
+                         provides \
+                         specifies \
+                         contains \
+                         represents \
+                         a \
+                         an \
+                         the
+
+# If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then
+# doxygen will generate a detailed section even if there is only a brief
+# description.
+# The default value is: NO.
+
+ALWAYS_DETAILED_SEC    = NO
+
+# If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all
+# inherited members of a class in the documentation of that class as if those
+# members were ordinary class members. Constructors, destructors and assignment
+# operators of the base classes will not be shown.
+# The default value is: NO.
+
+INLINE_INHERITED_MEMB  = NO
+
+# If the FULL_PATH_NAMES tag is set to YES, doxygen will prepend the full path
+# before files name in the file list and in the header files. If set to NO the
+# shortest path that makes the file name unique will be used
+# The default value is: YES.
+
+FULL_PATH_NAMES        = YES
+
+# The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path.
+# Stripping is only done if one of the specified strings matches the left-hand
+# part of the path. The tag can be used to show relative paths in the file list.
+# If left blank the directory from which doxygen is run is used as the path to
+# strip.
+#
+# Note that you can specify absolute paths here, but also relative paths, which
+# will be relative from the directory where doxygen is started.
+# This tag requires that the tag FULL_PATH_NAMES is set to YES.
+
+STRIP_FROM_PATH        =
+
+# The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the
+# path mentioned in the documentation of a class, which tells the reader which
+# header file to include in order to use a class. If left blank only the name of
+# the header file containing the class definition is used. Otherwise one should
+# specify the list of include paths that are normally passed to the compiler
+# using the -I flag.
+
+STRIP_FROM_INC_PATH    =
+
+# If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but
+# less readable) file names. This can be useful is your file systems doesn't
+# support long names like on DOS, Mac, or CD-ROM.
+# The default value is: NO.
+
+SHORT_NAMES            = NO
+
+# If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the
+# first line (until the first dot) of a Javadoc-style comment as the brief
+# description. If set to NO, the Javadoc-style will behave just like regular Qt-
+# style comments (thus requiring an explicit @brief command for a brief
+# description.)
+# The default value is: NO.
+
+JAVADOC_AUTOBRIEF      = NO
+
+# If the JAVADOC_BANNER tag is set to YES then doxygen will interpret a line
+# such as
+# /***************
+# as being the beginning of a Javadoc-style comment "banner". If set to NO, the
+# Javadoc-style will behave just like regular comments and it will not be
+# interpreted by doxygen.
+# The default value is: NO.
+
+JAVADOC_BANNER         = NO
+
+# If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first
+# line (until the first dot) of a Qt-style comment as the brief description. If
+# set to NO, the Qt-style will behave just like regular Qt-style comments (thus
+# requiring an explicit \brief command for a brief description.)
+# The default value is: NO.
+
+QT_AUTOBRIEF           = NO
+
+# The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a
+# multi-line C++ special comment block (i.e. a block of //! or /// comments) as
+# a brief description. This used to be the default behavior. The new default is
+# to treat a multi-line C++ comment block as a detailed description. Set this
+# tag to YES if you prefer the old behavior instead.
+#
+# Note that setting this tag to YES also means that rational rose comments are
+# not recognized any more.
+# The default value is: NO.
+
+MULTILINE_CPP_IS_BRIEF = NO
+
+# By default Python docstrings are displayed as preformatted text and doxygen's
+# special commands cannot be used. By setting PYTHON_DOCSTRING to NO the
+# doxygen's special commands can be used and the contents of the docstring
+# documentation blocks is shown as doxygen documentation.
+# The default value is: YES.
+
+PYTHON_DOCSTRING       = YES
+
+# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the
+# documentation from any documented member that it re-implements.
+# The default value is: YES.
+
+INHERIT_DOCS           = YES
+
+# If the SEPARATE_MEMBER_PAGES tag is set to YES then doxygen will produce a new
+# page for each member. If set to NO, the documentation of a member will be part
+# of the file/class/namespace that contains it.
+# The default value is: NO.
+
+SEPARATE_MEMBER_PAGES  = NO
+
+# The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen
+# uses this value to replace tabs by spaces in code fragments.
+# Minimum value: 1, maximum value: 16, default value: 4.
+
+TAB_SIZE               = 4
+
+# This tag can be used to specify a number of aliases that act as commands in
+# the documentation. An alias has the form:
+# name=value
+# For example adding
+# "sideeffect=@par Side Effects:^^"
+# will allow you to put the command \sideeffect (or @sideeffect) in the
+# documentation, which will result in a user-defined paragraph with heading
+# "Side Effects:". Note that you cannot put \n's in the value part of an alias
+# to insert newlines (in the resulting output). You can put ^^ in the value part
+# of an alias to insert a newline as if a physical newline was in the original
+# file. When you need a literal { or } or , in the value part of an alias you
+# have to escape them by means of a backslash (\), this can lead to conflicts
+# with the commands \{ and \} for these it is advised to use the version @{ and
+# @} or use a double escape (\\{ and \\})
+
+ALIASES                =
+
+# Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources
+# only. Doxygen will then generate output that is more tailored for C. For
+# instance, some of the names that are used will be different. The list of all
+# members will be omitted, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_FOR_C  = YES
+
+# Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or
+# Python sources only. Doxygen will then generate output that is more tailored
+# for that language. For instance, namespaces will be presented as packages,
+# qualified scopes will look different, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_JAVA   = NO
+
+# Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran
+# sources. Doxygen will then generate output that is tailored for Fortran.
+# The default value is: NO.
+
+OPTIMIZE_FOR_FORTRAN   = NO
+
+# Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL
+# sources. Doxygen will then generate output that is tailored for VHDL.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_VHDL   = NO
+
+# Set the OPTIMIZE_OUTPUT_SLICE tag to YES if your project consists of Slice
+# sources only. Doxygen will then generate output that is more tailored for that
+# language. For instance, namespaces will be presented as modules, types will be
+# separated into more groups, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_SLICE  = NO
+
+# Doxygen selects the parser to use depending on the extension of the files it
+# parses. With this tag you can assign which parser to use for a given
+# extension. Doxygen has a built-in mapping, but you can override or extend it
+# using this tag. The format is ext=language, where ext is a file extension, and
+# language is one of the parsers supported by doxygen: IDL, Java, JavaScript,
+# Csharp (C#), C, C++, Lex, D, PHP, md (Markdown), Objective-C, Python, Slice,
+# VHDL, Fortran (fixed format Fortran: FortranFixed, free formatted Fortran:
+# FortranFree, unknown formatted Fortran: Fortran. In the later case the parser
+# tries to guess whether the code is fixed or free formatted code, this is the
+# default for Fortran type files). For instance to make doxygen treat .inc files
+# as Fortran files (default is PHP), and .f files as C (default is Fortran),
+# use: inc=Fortran f=C.
+#
+# Note: For files without extension you can use no_extension as a placeholder.
+#
+# Note that for custom extensions you also need to set FILE_PATTERNS otherwise
+# the files are not read by doxygen. When specifying no_extension you should add
+# * to the FILE_PATTERNS.
+#
+# Note see also the list of default file extension mappings.
+
+EXTENSION_MAPPING      =
+
+# If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments
+# according to the Markdown format, which allows for more readable
+# documentation. See https://daringfireball.net/projects/markdown/ for details.
+# The output of markdown processing is further processed by doxygen, so you can
+# mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in
+# case of backward compatibilities issues.
+# The default value is: YES.
+
+MARKDOWN_SUPPORT       = YES
+
+# When the TOC_INCLUDE_HEADINGS tag is set to a non-zero value, all headings up
+# to that level are automatically included in the table of contents, even if
+# they do not have an id attribute.
+# Note: This feature currently applies only to Markdown headings.
+# Minimum value: 0, maximum value: 99, default value: 5.
+# This tag requires that the tag MARKDOWN_SUPPORT is set to YES.
+
+TOC_INCLUDE_HEADINGS   = 5
+
+# The MARKDOWN_ID_STYLE tag can be used to specify the algorithm used to
+# generate identifiers for the Markdown headings. Note: Every identifier is
+# unique.
+# Possible values are: DOXYGEN Use a fixed 'autotoc_md' string followed by a
+# sequence number starting at 0. and GITHUB Use the lower case version of title
+# with any whitespace replaced by '-' and punctations characters removed..
+# The default value is: DOXYGEN.
+# This tag requires that the tag MARKDOWN_SUPPORT is set to YES.
+
+MARKDOWN_ID_STYLE      = DOXYGEN
+
+# When enabled doxygen tries to link words that correspond to documented
+# classes, or namespaces to their corresponding documentation. Such a link can
+# be prevented in individual cases by putting a % sign in front of the word or
+# globally by setting AUTOLINK_SUPPORT to NO.
+# The default value is: YES.
+
+AUTOLINK_SUPPORT       = YES
+
+# If you use STL classes (i.e. std::string, std::vector, etc.) but do not want
+# to include (a tag file for) the STL sources as input, then you should set this
+# tag to YES in order to let doxygen match functions declarations and
+# definitions whose arguments contain STL classes (e.g. func(std::string);
+# versus func(std::string) {}). This also make the inheritance and collaboration
+# diagrams that involve STL classes more complete and accurate.
+# The default value is: NO.
+
+BUILTIN_STL_SUPPORT    = NO
+
+# If you use Microsoft's C++/CLI language, you should set this option to YES to
+# enable parsing support.
+# The default value is: NO.
+
+CPP_CLI_SUPPORT        = NO
+
+# Set the SIP_SUPPORT tag to YES if your project consists of sip (see:
+# https://www.riverbankcomputing.com/software/sip/intro) sources only. Doxygen
+# will parse them like normal C++ but will assume all classes use public instead
+# of private inheritance when no explicit protection keyword is present.
+# The default value is: NO.
+
+SIP_SUPPORT            = NO
+
+# For Microsoft's IDL there are propget and propput attributes to indicate
+# getter and setter methods for a property. Setting this option to YES will make
+# doxygen to replace the get and set methods by a property in the documentation.
+# This will only work if the methods are indeed getting or setting a simple
+# type. If this is not the case, or you want to show the methods anyway, you
+# should set this option to NO.
+# The default value is: YES.
+
+IDL_PROPERTY_SUPPORT   = YES
+
+# If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC
+# tag is set to YES then doxygen will reuse the documentation of the first
+# member in the group (if any) for the other members of the group. By default
+# all members of a group must be documented explicitly.
+# The default value is: NO.
+
+DISTRIBUTE_GROUP_DOC   = NO
+
+# If one adds a struct or class to a group and this option is enabled, then also
+# any nested class or struct is added to the same group. By default this option
+# is disabled and one has to add nested compounds explicitly via \ingroup.
+# The default value is: NO.
+
+GROUP_NESTED_COMPOUNDS = NO
+
+# Set the SUBGROUPING tag to YES to allow class member groups of the same type
+# (for instance a group of public functions) to be put as a subgroup of that
+# type (e.g. under the Public Functions section). Set it to NO to prevent
+# subgrouping. Alternatively, this can be done per class using the
+# \nosubgrouping command.
+# The default value is: YES.
+
+SUBGROUPING            = YES
+
+# When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions
+# are shown inside the group in which they are included (e.g. using \ingroup)
+# instead of on a separate page (for HTML and Man pages) or section (for LaTeX
+# and RTF).
+#
+# Note that this feature does not work in combination with
+# SEPARATE_MEMBER_PAGES.
+# The default value is: NO.
+
+INLINE_GROUPED_CLASSES = NO
+
+# When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions
+# with only public data fields or simple typedef fields will be shown inline in
+# the documentation of the scope in which they are defined (i.e. file,
+# namespace, or group documentation), provided this scope is documented. If set
+# to NO, structs, classes, and unions are shown on a separate page (for HTML and
+# Man pages) or section (for LaTeX and RTF).
+# The default value is: NO.
+
+INLINE_SIMPLE_STRUCTS  = NO
+
+# When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or
+# enum is documented as struct, union, or enum with the name of the typedef. So
+# typedef struct TypeS {} TypeT, will appear in the documentation as a struct
+# with name TypeT. When disabled the typedef will appear as a member of a file,
+# namespace, or class. And the struct will be named TypeS. This can typically be
+# useful for C code in case the coding convention dictates that all compound
+# types are typedef'ed and only the typedef is referenced, never the tag name.
+# The default value is: NO.
+
+TYPEDEF_HIDES_STRUCT   = NO
+
+# The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This
+# cache is used to resolve symbols given their name and scope. Since this can be
+# an expensive process and often the same symbol appears multiple times in the
+# code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small
+# doxygen will become slower. If the cache is too large, memory is wasted. The
+# cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range
+# is 0..9, the default is 0, corresponding to a cache size of 2^16=65536
+# symbols. At the end of a run doxygen will report the cache usage and suggest
+# the optimal cache size from a speed point of view.
+# Minimum value: 0, maximum value: 9, default value: 0.
+
+LOOKUP_CACHE_SIZE      = 0
+
+# The NUM_PROC_THREADS specifies the number of threads doxygen is allowed to use
+# during processing. When set to 0 doxygen will based this on the number of
+# cores available in the system. You can set it explicitly to a value larger
+# than 0 to get more control over the balance between CPU load and processing
+# speed. At this moment only the input processing can be done using multiple
+# threads. Since this is still an experimental feature the default is set to 1,
+# which effectively disables parallel processing. Please report any issues you
+# encounter. Generating dot graphs in parallel is controlled by the
+# DOT_NUM_THREADS setting.
+# Minimum value: 0, maximum value: 32, default value: 1.
+
+NUM_PROC_THREADS       = 1
+
+# If the TIMESTAMP tag is set different from NO then each generated page will
+# contain the date or date and time when the page was generated. Setting this to
+# NO can help when comparing the output of multiple runs.
+# Possible values are: YES, NO, DATETIME and DATE.
+# The default value is: NO.
+
+TIMESTAMP              = YES
+
+#---------------------------------------------------------------------------
+# Build related configuration options
+#---------------------------------------------------------------------------
+
+# If the EXTRACT_ALL tag is set to YES, doxygen will assume all entities in
+# documentation are documented, even if no documentation was available. Private
+# class members and static file members will be hidden unless the
+# EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES.
+# Note: This will also disable the warnings about undocumented members that are
+# normally produced when WARNINGS is set to YES.
+# The default value is: NO.
+
+EXTRACT_ALL            = NO
+
+# If the EXTRACT_PRIVATE tag is set to YES, all private members of a class will
+# be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PRIVATE        = NO
+
+# If the EXTRACT_PRIV_VIRTUAL tag is set to YES, documented private virtual
+# methods of a class will be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PRIV_VIRTUAL   = NO
+
+# If the EXTRACT_PACKAGE tag is set to YES, all members with package or internal
+# scope will be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PACKAGE        = NO
+
+# If the EXTRACT_STATIC tag is set to YES, all static members of a file will be
+# included in the documentation.
+# The default value is: NO.
+
+EXTRACT_STATIC         = NO
+
+# If the EXTRACT_LOCAL_CLASSES tag is set to YES, classes (and structs) defined
+# locally in source files will be included in the documentation. If set to NO,
+# only classes defined in header files are included. Does not have any effect
+# for Java sources.
+# The default value is: YES.
+
+EXTRACT_LOCAL_CLASSES  = YES
+
+# This flag is only useful for Objective-C code. If set to YES, local methods,
+# which are defined in the implementation section but not in the interface are
+# included in the documentation. If set to NO, only methods in the interface are
+# included.
+# The default value is: NO.
+
+EXTRACT_LOCAL_METHODS  = NO
+
+# If this flag is set to YES, the members of anonymous namespaces will be
+# extracted and appear in the documentation as a namespace called
+# 'anonymous_namespace{file}', where file will be replaced with the base name of
+# the file that contains the anonymous namespace. By default anonymous namespace
+# are hidden.
+# The default value is: NO.
+
+EXTRACT_ANON_NSPACES   = NO
+
+# If this flag is set to YES, the name of an unnamed parameter in a declaration
+# will be determined by the corresponding definition. By default unnamed
+# parameters remain unnamed in the output.
+# The default value is: YES.
+
+RESOLVE_UNNAMED_PARAMS = YES
+
+# If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all
+# undocumented members inside documented classes or files. If set to NO these
+# members will be included in the various overviews, but no documentation
+# section is generated. This option has no effect if EXTRACT_ALL is enabled.
+# The default value is: NO.
+
+HIDE_UNDOC_MEMBERS     = NO
+
+# If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all
+# undocumented classes that are normally visible in the class hierarchy. If set
+# to NO, these classes will be included in the various overviews. This option
+# will also hide undocumented C++ concepts if enabled. This option has no effect
+# if EXTRACT_ALL is enabled.
+# The default value is: NO.
+
+HIDE_UNDOC_CLASSES     = NO
+
+# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend
+# declarations. If set to NO, these declarations will be included in the
+# documentation.
+# The default value is: NO.
+
+HIDE_FRIEND_COMPOUNDS  = NO
+
+# If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any
+# documentation blocks found inside the body of a function. If set to NO, these
+# blocks will be appended to the function's detailed documentation block.
+# The default value is: NO.
+
+HIDE_IN_BODY_DOCS      = NO
+
+# The INTERNAL_DOCS tag determines if documentation that is typed after a
+# \internal command is included. If the tag is set to NO then the documentation
+# will be excluded. Set it to YES to include the internal documentation.
+# The default value is: NO.
+
+INTERNAL_DOCS          = NO
+
+# With the correct setting of option CASE_SENSE_NAMES doxygen will better be
+# able to match the capabilities of the underlying filesystem. In case the
+# filesystem is case sensitive (i.e. it supports files in the same directory
+# whose names only differ in casing), the option must be set to YES to properly
+# deal with such files in case they appear in the input. For filesystems that
+# are not case sensitive the option should be set to NO to properly deal with
+# output files written for symbols that only differ in casing, such as for two
+# classes, one named CLASS and the other named Class, and to also support
+# references to files without having to specify the exact matching casing. On
+# Windows (including Cygwin) and MacOS, users should typically set this option
+# to NO, whereas on Linux or other Unix flavors it should typically be set to
+# YES.
+# Possible values are: SYSTEM, NO and YES.
+# The default value is: SYSTEM.
+
+CASE_SENSE_NAMES       = SYSTEM
+
+# If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with
+# their full class and namespace scopes in the documentation. If set to YES, the
+# scope will be hidden.
+# The default value is: NO.
+
+HIDE_SCOPE_NAMES       = NO
+
+# If the HIDE_COMPOUND_REFERENCE tag is set to NO (default) then doxygen will
+# append additional text to a page's title, such as Class Reference. If set to
+# YES the compound reference will be hidden.
+# The default value is: NO.
+
+HIDE_COMPOUND_REFERENCE= NO
+
+# If the SHOW_HEADERFILE tag is set to YES then the documentation for a class
+# will show which file needs to be included to use the class.
+# The default value is: YES.
+
+SHOW_HEADERFILE        = YES
+
+# If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of
+# the files that are included by a file in the documentation of that file.
+# The default value is: YES.
+
+SHOW_INCLUDE_FILES     = YES
+
+# If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each
+# grouped member an include statement to the documentation, telling the reader
+# which file to include in order to use the member.
+# The default value is: NO.
+
+SHOW_GROUPED_MEMB_INC  = NO
+
+# If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include
+# files with double quotes in the documentation rather than with sharp brackets.
+# The default value is: NO.
+
+FORCE_LOCAL_INCLUDES   = NO
+
+# If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the
+# documentation for inline members.
+# The default value is: YES.
+
+INLINE_INFO            = YES
+
+# If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the
+# (detailed) documentation of file and class members alphabetically by member
+# name. If set to NO, the members will appear in declaration order.
+# The default value is: YES.
+
+SORT_MEMBER_DOCS       = YES
+
+# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief
+# descriptions of file, namespace and class members alphabetically by member
+# name. If set to NO, the members will appear in declaration order. Note that
+# this will also influence the order of the classes in the class list.
+# The default value is: NO.
+
+SORT_BRIEF_DOCS        = NO
+
+# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the
+# (brief and detailed) documentation of class members so that constructors and
+# destructors are listed first. If set to NO the constructors will appear in the
+# respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS.
+# Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief
+# member documentation.
+# Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting
+# detailed member documentation.
+# The default value is: NO.
+
+SORT_MEMBERS_CTORS_1ST = NO
+
+# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy
+# of group names into alphabetical order. If set to NO the group names will
+# appear in their defined order.
+# The default value is: NO.
+
+SORT_GROUP_NAMES       = NO
+
+# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by
+# fully-qualified names, including namespaces. If set to NO, the class list will
+# be sorted only by class name, not including the namespace part.
+# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.
+# Note: This option applies only to the class list, not to the alphabetical
+# list.
+# The default value is: NO.
+
+SORT_BY_SCOPE_NAME     = NO
+
+# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper
+# type resolution of all parameters of a function it will reject a match between
+# the prototype and the implementation of a member function even if there is
+# only one candidate or it is obvious which candidate to choose by doing a
+# simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still
+# accept a match between prototype and implementation in such cases.
+# The default value is: NO.
+
+STRICT_PROTO_MATCHING  = NO
+
+# The GENERATE_TODOLIST tag can be used to enable (YES) or disable (NO) the todo
+# list. This list is created by putting \todo commands in the documentation.
+# The default value is: YES.
+
+GENERATE_TODOLIST      = YES
+
+# The GENERATE_TESTLIST tag can be used to enable (YES) or disable (NO) the test
+# list. This list is created by putting \test commands in the documentation.
+# The default value is: YES.
+
+GENERATE_TESTLIST      = YES
+
+# The GENERATE_BUGLIST tag can be used to enable (YES) or disable (NO) the bug
+# list. This list is created by putting \bug commands in the documentation.
+# The default value is: YES.
+
+GENERATE_BUGLIST       = YES
+
+# The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or disable (NO)
+# the deprecated list. This list is created by putting \deprecated commands in
+# the documentation.
+# The default value is: YES.
+
+GENERATE_DEPRECATEDLIST= YES
+
+# The ENABLED_SECTIONS tag can be used to enable conditional documentation
+# sections, marked by \if <section_label> ... \endif and \cond <section_label>
+# ... \endcond blocks.
+
+ENABLED_SECTIONS       =
+
+# The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the
+# initial value of a variable or macro / define can have for it to appear in the
+# documentation. If the initializer consists of more lines than specified here
+# it will be hidden. Use a value of 0 to hide initializers completely. The
+# appearance of the value of individual variables and macros / defines can be
+# controlled using \showinitializer or \hideinitializer command in the
+# documentation regardless of this setting.
+# Minimum value: 0, maximum value: 10000, default value: 30.
+
+MAX_INITIALIZER_LINES  = 30
+
+# Set the SHOW_USED_FILES tag to NO to disable the list of files generated at
+# the bottom of the documentation of classes and structs. If set to YES, the
+# list will mention the files that were used to generate the documentation.
+# The default value is: YES.
+
+SHOW_USED_FILES        = YES
+
+# Set the SHOW_FILES tag to NO to disable the generation of the Files page. This
+# will remove the Files entry from the Quick Index and from the Folder Tree View
+# (if specified).
+# The default value is: YES.
+
+SHOW_FILES             = YES
+
+# Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces
+# page. This will remove the Namespaces entry from the Quick Index and from the
+# Folder Tree View (if specified).
+# The default value is: YES.
+
+SHOW_NAMESPACES        = YES
+
+# The FILE_VERSION_FILTER tag can be used to specify a program or script that
+# doxygen should invoke to get the current version for each file (typically from
+# the version control system). Doxygen will invoke the program by executing (via
+# popen()) the command command input-file, where command is the value of the
+# FILE_VERSION_FILTER tag, and input-file is the name of an input file provided
+# by doxygen. Whatever the program writes to standard output is used as the file
+# version. For an example see the documentation.
+
+FILE_VERSION_FILTER    =
+
+# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed
+# by doxygen. The layout file controls the global structure of the generated
+# output files in an output format independent way. To create the layout file
+# that represents doxygen's defaults, run doxygen with the -l option. You can
+# optionally specify a file name after the option, if omitted DoxygenLayout.xml
+# will be used as the name of the layout file. See also section "Changing the
+# layout of pages" for information.
+#
+# Note that if you run doxygen from a directory containing a file called
+# DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE
+# tag is left empty.
+
+LAYOUT_FILE            = DoxygenLayout.xml
+
+# The CITE_BIB_FILES tag can be used to specify one or more bib files containing
+# the reference definitions. This must be a list of .bib files. The .bib
+# extension is automatically appended if omitted. This requires the bibtex tool
+# to be installed. See also https://en.wikipedia.org/wiki/BibTeX for more info.
+# For LaTeX the style of the bibliography can be controlled using
+# LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the
+# search path. See also \cite for info how to create references.
+
+CITE_BIB_FILES         =
+
+#---------------------------------------------------------------------------
+# Configuration options related to warning and progress messages
+#---------------------------------------------------------------------------
+
+# The QUIET tag can be used to turn on/off the messages that are generated to
+# standard output by doxygen. If QUIET is set to YES this implies that the
+# messages are off.
+# The default value is: NO.
+
+QUIET                  = NO
+
+# The WARNINGS tag can be used to turn on/off the warning messages that are
+# generated to standard error (stderr) by doxygen. If WARNINGS is set to YES
+# this implies that the warnings are on.
+#
+# Tip: Turn warnings on while writing the documentation.
+# The default value is: YES.
+
+WARNINGS               = YES
+
+# If the WARN_IF_UNDOCUMENTED tag is set to YES then doxygen will generate
+# warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag
+# will automatically be disabled.
+# The default value is: YES.
+
+WARN_IF_UNDOCUMENTED   = YES
+
+# If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for
+# potential errors in the documentation, such as documenting some parameters in
+# a documented function twice, or documenting parameters that don't exist or
+# using markup commands wrongly.
+# The default value is: YES.
+
+WARN_IF_DOC_ERROR      = YES
+
+# If WARN_IF_INCOMPLETE_DOC is set to YES, doxygen will warn about incomplete
+# function parameter documentation. If set to NO, doxygen will accept that some
+# parameters have no documentation without warning.
+# The default value is: YES.
+
+WARN_IF_INCOMPLETE_DOC = YES
+
+# This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that
+# are documented, but have no documentation for their parameters or return
+# value. If set to NO, doxygen will only warn about wrong parameter
+# documentation, but not about the absence of documentation. If EXTRACT_ALL is
+# set to YES then this flag will automatically be disabled. See also
+# WARN_IF_INCOMPLETE_DOC
+# The default value is: NO.
+
+WARN_NO_PARAMDOC       = NO
+
+# If WARN_IF_UNDOC_ENUM_VAL option is set to YES, doxygen will warn about
+# undocumented enumeration values. If set to NO, doxygen will accept
+# undocumented enumeration values. If EXTRACT_ALL is set to YES then this flag
+# will automatically be disabled.
+# The default value is: NO.
+
+WARN_IF_UNDOC_ENUM_VAL = NO
+
+# If the WARN_AS_ERROR tag is set to YES then doxygen will immediately stop when
+# a warning is encountered. If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS
+# then doxygen will continue running as if WARN_AS_ERROR tag is set to NO, but
+# at the end of the doxygen process doxygen will return with a non-zero status.
+# If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS_PRINT then doxygen behaves
+# like FAIL_ON_WARNINGS but in case no WARN_LOGFILE is defined doxygen will not
+# write the warning messages in between other messages but write them at the end
+# of a run, in case a WARN_LOGFILE is defined the warning messages will be
+# besides being in the defined file also be shown at the end of a run, unless
+# the WARN_LOGFILE is defined as - i.e. standard output (stdout) in that case
+# the behavior will remain as with the setting FAIL_ON_WARNINGS.
+# Possible values are: NO, YES, FAIL_ON_WARNINGS and FAIL_ON_WARNINGS_PRINT.
+# The default value is: NO.
+
+WARN_AS_ERROR          = NO
+
+# The WARN_FORMAT tag determines the format of the warning messages that doxygen
+# can produce. The string should contain the $file, $line, and $text tags, which
+# will be replaced by the file and line number from which the warning originated
+# and the warning text. Optionally the format may contain $version, which will
+# be replaced by the version of the file (if it could be obtained via
+# FILE_VERSION_FILTER)
+# See also: WARN_LINE_FORMAT
+# The default value is: $file:$line: $text.
+
+WARN_FORMAT            = "$file:$line: $text"
+
+# In the $text part of the WARN_FORMAT command it is possible that a reference
+# to a more specific place is given. To make it easier to jump to this place
+# (outside of doxygen) the user can define a custom "cut" / "paste" string.
+# Example:
+# WARN_LINE_FORMAT = "'vi $file +$line'"
+# See also: WARN_FORMAT
+# The default value is: at line $line of file $file.
+
+WARN_LINE_FORMAT       = "at line $line of file $file"
+
+# The WARN_LOGFILE tag can be used to specify a file to which warning and error
+# messages should be written. If left blank the output is written to standard
+# error (stderr). In case the file specified cannot be opened for writing the
+# warning and error messages are written to standard error. When as file - is
+# specified the warning and error messages are written to standard output
+# (stdout).
+
+WARN_LOGFILE           =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the input files
+#---------------------------------------------------------------------------
+
+# The INPUT tag is used to specify the files and/or directories that contain
+# documented source files. You may enter file names like myfile.cpp or
+# directories like /usr/src/myproject. Separate the files or directories with
+# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
+# Note: If this tag is empty the current directory is searched.
+
+INPUT                  = ../../README.md \
+                        ../../include/rpp.h \
+                        ../../include/rppi.h \
+                        ../../include/rppt.h \
+                        ../../include/rppversion.h \
+                        ../../include/rppdefs.h \
+                        ../../include/rppi_advanced_augmentations.h \
+                        ../../include/rppi_arithmetic_operations.h \
+                        ../../include/rppi_color_model_conversions.h \
+                        ../../include/rppi_computer_vision.h \
+                        ../../include/rppi_filter_operations.h \
+                        ../../include/rppi_fused_functions.h \
+                        ../../include/rppi_geometry_transforms.h \
+                        ../../include/rppi_image_augmentations.h \
+                        ../../include/rppi_logical_operations.h \
+                        ../../include/rppi_morphological_transforms.h \
+                        ../../include/rppi_statistical_operations.h \
+                        ../../include/rppt_tensor_color_augmentations.h \
+                        ../../include/rppt_tensor_data_exchange_operations.h \
+                        ../../include/rppt_tensor_effects_augmentations.h \
+                        ../../include/rppt_tensor_filter_augmentations.h \
+                        ../../include/rppt_tensor_geometric_augmentations.h \
+                        ../../include/rppt_tensor_morphological_operations.h \
+                        ../../include/rppt_tensor_statistical_operations.h
+
+
+# This tag can be used to specify the character encoding of the source files
+# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
+# libiconv (or the iconv built into libc) for the transcoding. See the libiconv
+# documentation (see:
+# https://www.gnu.org/software/libiconv/) for the list of possible encodings.
+# See also: INPUT_FILE_ENCODING
+# The default value is: UTF-8.
+
+INPUT_ENCODING         = UTF-8
+
+# This tag can be used to specify the character encoding of the source files
+# that doxygen parses The INPUT_FILE_ENCODING tag can be used to specify
+# character encoding on a per file pattern basis. Doxygen will compare the file
+# name with each pattern and apply the encoding instead of the default
+# INPUT_ENCODING) if there is a match. The character encodings are a list of the
+# form: pattern=encoding (like *.php=ISO-8859-1). See cfg_input_encoding
+# "INPUT_ENCODING" for further information on supported encodings.
+
+INPUT_FILE_ENCODING    =
+
+# If the value of the INPUT tag contains directories, you can use the
+# FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and
+# *.h) to filter out the source-files in the directories.
+#
+# Note that for custom extensions or not directly supported extensions you also
+# need to set EXTENSION_MAPPING for the extension otherwise the files are not
+# read by doxygen.
+#
+# Note the list of default checked file patterns might differ from the list of
+# default file extension mappings.
+#
+# If left blank the following patterns are tested:*.c, *.cc, *.cxx, *.cpp,
+# *.c++, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h,
+# *.hh, *.hxx, *.hpp, *.h++, *.l, *.cs, *.d, *.php, *.php4, *.php5, *.phtml,
+# *.inc, *.m, *.markdown, *.md, *.mm, *.dox (to be provided as doxygen C
+# comment), *.py, *.pyw, *.f90, *.f95, *.f03, *.f08, *.f18, *.f, *.for, *.vhd,
+# *.vhdl, *.ucf, *.qsf and *.ice.
+
+FILE_PATTERNS          = *.c \
+                         *.cc \
+                         *.cxx \
+                         *.cpp \
+                         *.c++ \
+                         *.java \
+                         *.ii \
+                         *.ixx \
+                         *.ipp \
+                         *.i++ \
+                         *.inl \
+                         *.idl \
+                         *.ddl \
+                         *.odl \
+                         *.h \
+                         *.hh \
+                         *.hxx \
+                         *.hpp \
+                         *.h++ \
+                         *.l \
+                         *.cs \
+                         *.d \
+                         *.php \
+                         *.php4 \
+                         *.php5 \
+                         *.phtml \
+                         *.inc \
+                         *.m \
+                         *.markdown \
+                         *.md \
+                         *.mm \
+                         *.dox \
+                         *.py \
+                         *.pyw \
+                         *.f90 \
+                         *.f95 \
+                         *.f03 \
+                         *.f08 \
+                         *.f18 \
+                         *.f \
+                         *.for \
+                         *.vhd \
+                         *.vhdl \
+                         *.ucf \
+                         *.qsf \
+                         *.ice
+
+# The RECURSIVE tag can be used to specify whether or not subdirectories should
+# be searched for input files as well.
+# The default value is: NO.
+
+RECURSIVE              = NO
+
+# The EXCLUDE tag can be used to specify files and/or directories that should be
+# excluded from the INPUT source files. This way you can easily exclude a
+# subdirectory from a directory tree whose root is specified with the INPUT tag.
+#
+# Note that relative paths are relative to the directory from which doxygen is
+# run.
+
+EXCLUDE                =
+
+# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or
+# directories that are symbolic links (a Unix file system feature) are excluded
+# from the input.
+# The default value is: NO.
+
+EXCLUDE_SYMLINKS       = NO
+
+# If the value of the INPUT tag contains directories, you can use the
+# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude
+# certain files from those directories.
+#
+# Note that the wildcards are matched against the file with absolute path, so to
+# exclude all test directories for example use the pattern */test/*
+
+EXCLUDE_PATTERNS       =
+
+# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
+# (namespaces, classes, functions, etc.) that should be excluded from the
+# output. The symbol name can be a fully qualified name, a word, or if the
+# wildcard * is used, a substring. Examples: ANamespace, AClass,
+# ANamespace::AClass, ANamespace::*Test
+
+EXCLUDE_SYMBOLS        =
+
+# The EXAMPLE_PATH tag can be used to specify one or more files or directories
+# that contain example code fragments that are included (see the \include
+# command).
+
+EXAMPLE_PATH           =
+
+# If the value of the EXAMPLE_PATH tag contains directories, you can use the
+# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and
+# *.h) to filter out the source-files in the directories. If left blank all
+# files are included.
+
+EXAMPLE_PATTERNS       = *
+
+# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be
+# searched for input files to be used with the \include or \dontinclude commands
+# irrespective of the value of the RECURSIVE tag.
+# The default value is: NO.
+
+EXAMPLE_RECURSIVE      = NO
+
+# The IMAGE_PATH tag can be used to specify one or more files or directories
+# that contain images that are to be included in the documentation (see the
+# \image command).
+
+IMAGE_PATH             = ../../data/doxygenInputs \
+                         ../../data/doxygenOutputs
+
+# The INPUT_FILTER tag can be used to specify a program that doxygen should
+# invoke to filter for each input file. Doxygen will invoke the filter program
+# by executing (via popen()) the command:
+#
+# <filter> <input-file>
+#
+# where <filter> is the value of the INPUT_FILTER tag, and <input-file> is the
+# name of an input file. Doxygen will then use the output that the filter
+# program writes to standard output. If FILTER_PATTERNS is specified, this tag
+# will be ignored.
+#
+# Note that the filter must not add or remove lines; it is applied before the
+# code is scanned, but not when the output code is generated. If lines are added
+# or removed, the anchors will not be placed correctly.
+#
+# Note that doxygen will use the data processed and written to standard output
+# for further processing, therefore nothing else, like debug statements or used
+# commands (so in case of a Windows batch file always use @echo OFF), should be
+# written to standard output.
+#
+# Note that for custom extensions or not directly supported extensions you also
+# need to set EXTENSION_MAPPING for the extension otherwise the files are not
+# properly processed by doxygen.
+
+INPUT_FILTER           =
+
+# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
+# basis. Doxygen will compare the file name with each pattern and apply the
+# filter if there is a match. The filters are a list of the form: pattern=filter
+# (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how
+# filters are used. If the FILTER_PATTERNS tag is empty or if none of the
+# patterns match the file name, INPUT_FILTER is applied.
+#
+# Note that for custom extensions or not directly supported extensions you also
+# need to set EXTENSION_MAPPING for the extension otherwise the files are not
+# properly processed by doxygen.
+
+FILTER_PATTERNS        =
+
+# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
+# INPUT_FILTER) will also be used to filter the input files that are used for
+# producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES).
+# The default value is: NO.
+
+FILTER_SOURCE_FILES    = NO
+
+# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file
+# pattern. A pattern will override the setting for FILTER_PATTERN (if any) and
+# it is also possible to disable source filtering for a specific pattern using
+# *.ext= (so without naming a filter).
+# This tag requires that the tag FILTER_SOURCE_FILES is set to YES.
+
+FILTER_SOURCE_PATTERNS =
+
+# If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that
+# is part of the input, its contents will be placed on the main page
+# (index.html). This can be useful if you have a project on for instance GitHub
+# and want to reuse the introduction page also for the doxygen output.
+
+USE_MDFILE_AS_MAINPAGE = ../../README.md
+
+# The Fortran standard specifies that for fixed formatted Fortran code all
+# characters from position 72 are to be considered as comment. A common
+# extension is to allow longer lines before the automatic comment starts. The
+# setting FORTRAN_COMMENT_AFTER will also make it possible that longer lines can
+# be processed before the automatic comment starts.
+# Minimum value: 7, maximum value: 10000, default value: 72.
+
+FORTRAN_COMMENT_AFTER  = 72
+
+#---------------------------------------------------------------------------
+# Configuration options related to source browsing
+#---------------------------------------------------------------------------
+
+# If the SOURCE_BROWSER tag is set to YES then a list of source files will be
+# generated. Documented entities will be cross-referenced with these sources.
+#
+# Note: To get rid of all source code in the generated output, make sure that
+# also VERBATIM_HEADERS is set to NO.
+# The default value is: NO.
+
+SOURCE_BROWSER         = NO
+
+# Setting the INLINE_SOURCES tag to YES will include the body of functions,
+# classes and enums directly into the documentation.
+# The default value is: NO.
+
+INLINE_SOURCES         = NO
+
+# Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any
+# special comment blocks from generated source code fragments. Normal C, C++ and
+# Fortran comments will always remain visible.
+# The default value is: YES.
+
+STRIP_CODE_COMMENTS    = YES
+
+# If the REFERENCED_BY_RELATION tag is set to YES then for each documented
+# entity all documented functions referencing it will be listed.
+# The default value is: NO.
+
+REFERENCED_BY_RELATION = NO
+
+# If the REFERENCES_RELATION tag is set to YES then for each documented function
+# all documented entities called/used by that function will be listed.
+# The default value is: NO.
+
+REFERENCES_RELATION    = NO
+
+# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set
+# to YES then the hyperlinks from functions in REFERENCES_RELATION and
+# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will
+# link to the documentation.
+# The default value is: YES.
+
+REFERENCES_LINK_SOURCE = YES
+
+# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the
+# source code will show a tooltip with additional information such as prototype,
+# brief description and links to the definition and documentation. Since this
+# will make the HTML file larger and loading of large files a bit slower, you
+# can opt to disable this feature.
+# The default value is: YES.
+# This tag requires that the tag SOURCE_BROWSER is set to YES.
+
+SOURCE_TOOLTIPS        = YES
+
+# If the USE_HTAGS tag is set to YES then the references to source code will
+# point to the HTML generated by the htags(1) tool instead of doxygen built-in
+# source browser. The htags tool is part of GNU's global source tagging system
+# (see https://www.gnu.org/software/global/global.html). You will need version
+# 4.8.6 or higher.
+#
+# To use it do the following:
+# - Install the latest version of global
+# - Enable SOURCE_BROWSER and USE_HTAGS in the configuration file
+# - Make sure the INPUT points to the root of the source tree
+# - Run doxygen as normal
+#
+# Doxygen will invoke htags (and that will in turn invoke gtags), so these
+# tools must be available from the command line (i.e. in the search path).
+#
+# The result: instead of the source browser generated by doxygen, the links to
+# source code will now point to the output of htags.
+# The default value is: NO.
+# This tag requires that the tag SOURCE_BROWSER is set to YES.
+
+USE_HTAGS              = NO
+
+# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a
+# verbatim copy of the header file for each class for which an include is
+# specified. Set to NO to disable this.
+# See also: Section \class.
+# The default value is: YES.
+
+VERBATIM_HEADERS       = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to the alphabetical class index
+#---------------------------------------------------------------------------
+
+# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all
+# compounds will be generated. Enable this if the project contains a lot of
+# classes, structs, unions or interfaces.
+# The default value is: YES.
+
+ALPHABETICAL_INDEX     = YES
+
+# The IGNORE_PREFIX tag can be used to specify a prefix (or a list of prefixes)
+# that should be ignored while generating the index headers. The IGNORE_PREFIX
+# tag works for classes, function and member names. The entity will be placed in
+# the alphabetical list under the first letter of the entity name that remains
+# after removing the prefix.
+# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
+
+IGNORE_PREFIX          =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the HTML output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_HTML tag is set to YES, doxygen will generate HTML output
+# The default value is: YES.
+
+GENERATE_HTML          = YES
+
+# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: html.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_OUTPUT            = html
+
+# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each
+# generated HTML page (for example: .htm, .php, .asp).
+# The default value is: .html.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FILE_EXTENSION    = .html
+
+# The HTML_HEADER tag can be used to specify a user-defined HTML header file for
+# each generated HTML page. If the tag is left blank doxygen will generate a
+# standard header.
+#
+# To get valid HTML the header file that includes any scripts and style sheets
+# that doxygen needs, which is dependent on the configuration options used (e.g.
+# the setting GENERATE_TREEVIEW). It is highly recommended to start with a
+# default header using
+# doxygen -w html new_header.html new_footer.html new_stylesheet.css
+# YourConfigFile
+# and then modify the file new_header.html. See also section "Doxygen usage"
+# for information on how to generate the default header that doxygen normally
+# uses.
+# Note: The header is subject to change so you typically have to regenerate the
+# default header when upgrading to a newer version of doxygen. For a description
+# of the possible markers and block names see the documentation.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_HEADER            =
+
+# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each
+# generated HTML page. If the tag is left blank doxygen will generate a standard
+# footer. See HTML_HEADER for more information on how to generate a default
+# footer and what special commands can be used inside the footer. See also
+# section "Doxygen usage" for information on how to generate the default footer
+# that doxygen normally uses.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FOOTER            =
+
+# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style
+# sheet that is used by each HTML page. It can be used to fine-tune the look of
+# the HTML output. If left blank doxygen will generate a default style sheet.
+# See also section "Doxygen usage" for information on how to generate the style
+# sheet that doxygen normally uses.
+# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as
+# it is more robust and this tag (HTML_STYLESHEET) will in the future become
+# obsolete.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_STYLESHEET        =
+
+# The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined
+# cascading style sheets that are included after the standard style sheets
+# created by doxygen. Using this option one can overrule certain style aspects.
+# This is preferred over using HTML_STYLESHEET since it does not replace the
+# standard style sheet and is therefore more robust against future updates.
+# Doxygen will copy the style sheet files to the output directory.
+# Note: The order of the extra style sheet files is of importance (e.g. the last
+# style sheet in the list overrules the setting of the previous ones in the
+# list).
+# Note: Since the styling of scrollbars can currently not be overruled in
+# Webkit/Chromium, the styling will be left out of the default doxygen.css if
+# one or more extra stylesheets have been specified. So if scrollbar
+# customization is desired it has to be added explicitly. For an example see the
+# documentation.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_EXTRA_STYLESHEET  =
+
+# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the HTML output directory. Note
+# that these files will be copied to the base HTML output directory. Use the
+# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
+# files. In the HTML_STYLESHEET file, use the file name only. Also note that the
+# files will be copied as-is; there are no commands or markers available.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_EXTRA_FILES       =
+
+# The HTML_COLORSTYLE tag can be used to specify if the generated HTML output
+# should be rendered with a dark or light theme.
+# Possible values are: LIGHT always generate light mode output, DARK always
+# generate dark mode output, AUTO_LIGHT automatically set the mode according to
+# the user preference, use light mode if no preference is set (the default),
+# AUTO_DARK automatically set the mode according to the user preference, use
+# dark mode if no preference is set and TOGGLE allow to user to switch between
+# light and dark mode via a button.
+# The default value is: AUTO_LIGHT.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE        = LIGHT
+
+# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
+# will adjust the colors in the style sheet and background images according to
+# this color. Hue is specified as an angle on a color-wheel, see
+# https://en.wikipedia.org/wiki/Hue for more information. For instance the value
+# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300
+# purple, and 360 is red again.
+# Minimum value: 0, maximum value: 359, default value: 220.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_HUE    = 240
+
+# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
+# in the HTML output. For a value of 0 the output will use gray-scales only. A
+# value of 255 will produce the most vivid colors.
+# Minimum value: 0, maximum value: 255, default value: 100.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_SAT    = 100
+
+# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the
+# luminance component of the colors in the HTML output. Values below 100
+# gradually make the output lighter, whereas values above 100 make the output
+# darker. The value divided by 100 is the actual gamma applied, so 80 represents
+# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not
+# change the gamma.
+# Minimum value: 40, maximum value: 240, default value: 80.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_GAMMA  = 80
+
+# If the HTML_DYNAMIC_MENUS tag is set to YES then the generated HTML
+# documentation will contain a main index with vertical navigation menus that
+# are dynamically created via JavaScript. If disabled, the navigation index will
+# consists of multiple levels of tabs that are statically embedded in every HTML
+# page. Disable this option to support browsers that do not have JavaScript,
+# like the Qt help browser.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_DYNAMIC_MENUS     = YES
+
+# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
+# documentation will contain sections that can be hidden and shown after the
+# page has loaded.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_DYNAMIC_SECTIONS  = NO
+
+# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries
+# shown in the various tree structured indices initially; the user can expand
+# and collapse entries dynamically later on. Doxygen will expand the tree to
+# such a level that at most the specified number of entries are visible (unless
+# a fully collapsed tree already exceeds this amount). So setting the number of
+# entries 1 will produce a full collapsed tree by default. 0 is a special value
+# representing an infinite number of entries and will result in a full expanded
+# tree by default.
+# Minimum value: 0, maximum value: 9999, default value: 100.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_INDEX_NUM_ENTRIES = 100
+
+# If the GENERATE_DOCSET tag is set to YES, additional index files will be
+# generated that can be used as input for Apple's Xcode 3 integrated development
+# environment (see:
+# https://developer.apple.com/xcode/), introduced with OSX 10.5 (Leopard). To
+# create a documentation set, doxygen will generate a Makefile in the HTML
+# output directory. Running make will produce the docset in that directory and
+# running make install will install the docset in
+# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at
+# startup. See https://developer.apple.com/library/archive/featuredarticles/Doxy
+# genXcode/_index.html for more information.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_DOCSET        = NO
+
+# This tag determines the name of the docset feed. A documentation feed provides
+# an umbrella under which multiple documentation sets from a single provider
+# (such as a company or product suite) can be grouped.
+# The default value is: Doxygen generated docs.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_FEEDNAME        = "Doxygen generated docs"
+
+# This tag determines the URL of the docset feed. A documentation feed provides
+# an umbrella under which multiple documentation sets from a single provider
+# (such as a company or product suite) can be grouped.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_FEEDURL         =
+
+# This tag specifies a string that should uniquely identify the documentation
+# set bundle. This should be a reverse domain-name style string, e.g.
+# com.mycompany.MyDocSet. Doxygen will append .docset to the name.
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_BUNDLE_ID       = org.doxygen.Project
+
+# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify
+# the documentation publisher. This should be a reverse domain-name style
+# string, e.g. com.mycompany.MyDocSet.documentation.
+# The default value is: org.doxygen.Publisher.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_PUBLISHER_ID    = org.doxygen.Publisher
+
+# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.
+# The default value is: Publisher.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_PUBLISHER_NAME  = Publisher
+
+# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three
+# additional HTML index files: index.hhp, index.hhc, and index.hhk. The
+# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop
+# on Windows. In the beginning of 2021 Microsoft took the original page, with
+# a.o. the download links, offline the HTML help workshop was already many years
+# in maintenance mode). You can download the HTML help workshop from the web
+# archives at Installation executable (see:
+# http://web.archive.org/web/20160201063255/http://download.microsoft.com/downlo
+# ad/0/A/9/0A939EF6-E31C-430F-A3DF-DFAE7960D564/htmlhelp.exe).
+#
+# The HTML Help Workshop contains a compiler that can convert all HTML output
+# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML
+# files are now used as the Windows 98 help format, and will replace the old
+# Windows help format (.hlp) on all Windows platforms in the future. Compressed
+# HTML files also contain an index, a table of contents, and you can search for
+# words in the documentation. The HTML workshop also contains a viewer for
+# compressed HTML files.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_HTMLHELP      = NO
+
+# The CHM_FILE tag can be used to specify the file name of the resulting .chm
+# file. You can add a path in front of the file if the result should not be
+# written to the html output directory.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+CHM_FILE               =
+
+# The HHC_LOCATION tag can be used to specify the location (absolute path
+# including file name) of the HTML help compiler (hhc.exe). If non-empty,
+# doxygen will try to run the HTML help compiler on the generated index.hhp.
+# The file has to be specified with full path.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+HHC_LOCATION           =
+
+# The GENERATE_CHI flag controls if a separate .chi index file is generated
+# (YES) or that it should be included in the main .chm file (NO).
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+GENERATE_CHI           = NO
+
+# The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc)
+# and project file content.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+CHM_INDEX_ENCODING     =
+
+# The BINARY_TOC flag controls whether a binary table of contents is generated
+# (YES) or a normal table of contents (NO) in the .chm file. Furthermore it
+# enables the Previous and Next buttons.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+BINARY_TOC             = NO
+
+# The TOC_EXPAND flag can be set to YES to add extra items for group members to
+# the table of contents of the HTML help documentation and to the tree view.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+TOC_EXPAND             = NO
+
+# The SITEMAP_URL tag is used to specify the full URL of the place where the
+# generated documentation will be placed on the server by the user during the
+# deployment of the documentation. The generated sitemap is called sitemap.xml
+# and placed on the directory specified by HTML_OUTPUT. In case no SITEMAP_URL
+# is specified no sitemap is generated. For information about the sitemap
+# protocol see https://www.sitemaps.org
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+SITEMAP_URL            =
+
+# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
+# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that
+# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help
+# (.qch) of the generated HTML documentation.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_QHP           = NO
+
+# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify
+# the file name of the resulting .qch file. The path specified is relative to
+# the HTML output folder.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QCH_FILE               =
+
+# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help
+# Project output. For more information please see Qt Help Project / Namespace
+# (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#namespace).
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_NAMESPACE          = org.doxygen.Project
+
+# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt
+# Help Project output. For more information please see Qt Help Project / Virtual
+# Folders (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#virtual-folders).
+# The default value is: doc.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_VIRTUAL_FOLDER     = doc
+
+# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom
+# filter to add. For more information please see Qt Help Project / Custom
+# Filters (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_CUST_FILTER_NAME   =
+
+# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the
+# custom filter to add. For more information please see Qt Help Project / Custom
+# Filters (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_CUST_FILTER_ATTRS  =
+
+# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
+# project's filter section matches. Qt Help Project / Filter Attributes (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#filter-attributes).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_SECT_FILTER_ATTRS  =
+
+# The QHG_LOCATION tag can be used to specify the location (absolute path
+# including file name) of Qt's qhelpgenerator. If non-empty doxygen will try to
+# run qhelpgenerator on the generated .qhp file.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHG_LOCATION           =
+
+# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be
+# generated, together with the HTML files, they form an Eclipse help plugin. To
+# install this plugin and make it available under the help contents menu in
+# Eclipse, the contents of the directory containing the HTML and XML files needs
+# to be copied into the plugins directory of eclipse. The name of the directory
+# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.
+# After copying Eclipse needs to be restarted before the help appears.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_ECLIPSEHELP   = NO
+
+# A unique identifier for the Eclipse help plugin. When installing the plugin
+# the directory name containing the HTML and XML files should also have this
+# name. Each documentation set should have its own identifier.
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.
+
+ECLIPSE_DOC_ID         = org.doxygen.Project
+
+# If you want full control over the layout of the generated HTML pages it might
+# be necessary to disable the index and replace it with your own. The
+# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top
+# of each HTML page. A value of NO enables the index and the value YES disables
+# it. Since the tabs in the index contain the same information as the navigation
+# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+DISABLE_INDEX          = NO
+
+# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
+# structure should be generated to display hierarchical information. If the tag
+# value is set to YES, a side panel will be generated containing a tree-like
+# index structure (just like the one that is generated for HTML Help). For this
+# to work a browser that supports JavaScript, DHTML, CSS and frames is required
+# (i.e. any modern browser). Windows users are probably better off using the
+# HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can
+# further fine tune the look of the index (see "Fine-tuning the output"). As an
+# example, the default style sheet generated by doxygen has an example that
+# shows how to put an image at the root of the tree instead of the PROJECT_NAME.
+# Since the tree basically has the same information as the tab index, you could
+# consider setting DISABLE_INDEX to YES when enabling this option.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_TREEVIEW      = NO
+
+# When both GENERATE_TREEVIEW and DISABLE_INDEX are set to YES, then the
+# FULL_SIDEBAR option determines if the side bar is limited to only the treeview
+# area (value NO) or if it should extend to the full height of the window (value
+# YES). Setting this to YES gives a layout similar to
+# https://docs.readthedocs.io with more room for contents, but less room for the
+# project logo, title, and description. If either GENERATE_TREEVIEW or
+# DISABLE_INDEX is set to NO, this option has no effect.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+FULL_SIDEBAR           = NO
+
+# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that
+# doxygen will group on one line in the generated HTML documentation.
+#
+# Note that a value of 0 will completely suppress the enum values from appearing
+# in the overview section.
+# Minimum value: 0, maximum value: 20, default value: 4.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+ENUM_VALUES_PER_LINE   = 1
+
+# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
+# to set the initial width (in pixels) of the frame in which the tree is shown.
+# Minimum value: 0, maximum value: 1500, default value: 250.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+TREEVIEW_WIDTH         = 250
+
+# If the EXT_LINKS_IN_WINDOW option is set to YES, doxygen will open links to
+# external symbols imported via tag files in a separate window.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+EXT_LINKS_IN_WINDOW    = NO
+
+# If the OBFUSCATE_EMAILS tag is set to YES, doxygen will obfuscate email
+# addresses.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+OBFUSCATE_EMAILS       = YES
+
+# If the HTML_FORMULA_FORMAT option is set to svg, doxygen will use the pdf2svg
+# tool (see https://github.com/dawbarton/pdf2svg) or inkscape (see
+# https://inkscape.org) to generate formulas as SVG images instead of PNGs for
+# the HTML output. These images will generally look nicer at scaled resolutions.
+# Possible values are: png (the default) and svg (looks nicer but requires the
+# pdf2svg or inkscape tool).
+# The default value is: png.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FORMULA_FORMAT    = png
+
+# Use this tag to change the font size of LaTeX formulas included as images in
+# the HTML documentation. When you change the font size after a successful
+# doxygen run you need to manually remove any form_*.png images from the HTML
+# output directory to force them to be regenerated.
+# Minimum value: 8, maximum value: 50, default value: 10.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+FORMULA_FONTSIZE       = 10
+
+# The FORMULA_MACROFILE can contain LaTeX \newcommand and \renewcommand commands
+# to create new LaTeX commands to be used in formulas as building blocks. See
+# the section "Including formulas" for details.
+
+FORMULA_MACROFILE      =
+
+# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see
+# https://www.mathjax.org) which uses client side JavaScript for the rendering
+# instead of using pre-rendered bitmaps. Use this if you do not have LaTeX
+# installed or if you want to formulas look prettier in the HTML output. When
+# enabled you may also need to install MathJax separately and configure the path
+# to it using the MATHJAX_RELPATH option.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+USE_MATHJAX            = NO
+
+# With MATHJAX_VERSION it is possible to specify the MathJax version to be used.
+# Note that the different versions of MathJax have different requirements with
+# regards to the different settings, so it is possible that also other MathJax
+# settings have to be changed when switching between the different MathJax
+# versions.
+# Possible values are: MathJax_2 and MathJax_3.
+# The default value is: MathJax_2.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_VERSION        = MathJax_2
+
+# When MathJax is enabled you can set the default output format to be used for
+# the MathJax output. For more details about the output format see MathJax
+# version 2 (see:
+# http://docs.mathjax.org/en/v2.7-latest/output.html) and MathJax version 3
+# (see:
+# http://docs.mathjax.org/en/latest/web/components/output.html).
+# Possible values are: HTML-CSS (which is slower, but has the best
+# compatibility. This is the name for Mathjax version 2, for MathJax version 3
+# this will be translated into chtml), NativeMML (i.e. MathML. Only supported
+# for NathJax 2. For MathJax version 3 chtml will be used instead.), chtml (This
+# is the name for Mathjax version 3, for MathJax version 2 this will be
+# translated into HTML-CSS) and SVG.
+# The default value is: HTML-CSS.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_FORMAT         = HTML-CSS
+
+# When MathJax is enabled you need to specify the location relative to the HTML
+# output directory using the MATHJAX_RELPATH option. The destination directory
+# should contain the MathJax.js script. For instance, if the mathjax directory
+# is located at the same level as the HTML output directory, then
+# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax
+# Content Delivery Network so you can quickly see the result without installing
+# MathJax. However, it is strongly recommended to install a local copy of
+# MathJax from https://www.mathjax.org before deployment. The default value is:
+# - in case of MathJax version 2: https://cdn.jsdelivr.net/npm/mathjax@2
+# - in case of MathJax version 3: https://cdn.jsdelivr.net/npm/mathjax@3
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_RELPATH        =
+
+# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax
+# extension names that should be enabled during MathJax rendering. For example
+# for MathJax version 2 (see
+# https://docs.mathjax.org/en/v2.7-latest/tex.html#tex-and-latex-extensions):
+# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols
+# For example for MathJax version 3 (see
+# http://docs.mathjax.org/en/latest/input/tex/extensions/index.html):
+# MATHJAX_EXTENSIONS = ams
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_EXTENSIONS     =
+
+# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces
+# of code that will be used on startup of the MathJax code. See the MathJax site
+# (see:
+# http://docs.mathjax.org/en/v2.7-latest/output.html) for more details. For an
+# example see the documentation.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_CODEFILE       =
+
+# When the SEARCHENGINE tag is enabled doxygen will generate a search box for
+# the HTML output. The underlying search engine uses javascript and DHTML and
+# should work on any modern browser. Note that when using HTML help
+# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)
+# there is already a search function so this one should typically be disabled.
+# For large projects the javascript based search engine can be slow, then
+# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to
+# search using the keyboard; to jump to the search box use <access key> + S
+# (what the <access key> is depends on the OS and browser, but it is typically
+# <CTRL>, <ALT>/<option>, or both). Inside the search box use the <cursor down
+# key> to jump into the search results window, the results can be navigated
+# using the <cursor keys>. Press <Enter> to select an item or <escape> to cancel
+# the search. The filter options can be selected when the cursor is inside the
+# search box by pressing <Shift>+<cursor down>. Also here use the <cursor keys>
+# to select a filter and <Enter> or <escape> to activate or cancel the filter
+# option.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+SEARCHENGINE           = NO
+
+# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
+# implemented using a web server instead of a web client using JavaScript. There
+# are two flavors of web server based searching depending on the EXTERNAL_SEARCH
+# setting. When disabled, doxygen will generate a PHP script for searching and
+# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing
+# and searching needs to be provided by external tools. See the section
+# "External Indexing and Searching" for details.
+# The default value is: NO.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SERVER_BASED_SEARCH    = NO
+
+# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP
+# script for searching. Instead the search results are written to an XML file
+# which needs to be processed by an external indexer. Doxygen will invoke an
+# external search engine pointed to by the SEARCHENGINE_URL option to obtain the
+# search results.
+#
+# Doxygen ships with an example indexer (doxyindexer) and search engine
+# (doxysearch.cgi) which are based on the open source search engine library
+# Xapian (see:
+# https://xapian.org/).
+#
+# See the section "External Indexing and Searching" for details.
+# The default value is: NO.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTERNAL_SEARCH        = NO
+
+# The SEARCHENGINE_URL should point to a search engine hosted by a web server
+# which will return the search results when EXTERNAL_SEARCH is enabled.
+#
+# Doxygen ships with an example indexer (doxyindexer) and search engine
+# (doxysearch.cgi) which are based on the open source search engine library
+# Xapian (see:
+# https://xapian.org/). See the section "External Indexing and Searching" for
+# details.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SEARCHENGINE_URL       =
+
+# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed
+# search data is written to a file for indexing by an external tool. With the
+# SEARCHDATA_FILE tag the name of this file can be specified.
+# The default file is: searchdata.xml.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SEARCHDATA_FILE        = searchdata.xml
+
+# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the
+# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is
+# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple
+# projects and redirect the results back to the right project.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTERNAL_SEARCH_ID     =
+
+# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen
+# projects other than the one defined by this configuration file, but that are
+# all added to the same external search index. Each project needs to have a
+# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of
+# to a relative location where the documentation can be found. The format is:
+# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTRA_SEARCH_MAPPINGS  =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the LaTeX output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_LATEX tag is set to YES, doxygen will generate LaTeX output.
+# The default value is: YES.
+
+GENERATE_LATEX         = YES
+
+# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: latex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_OUTPUT           = latex
+
+# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
+# invoked.
+#
+# Note that when not enabling USE_PDFLATEX the default is latex when enabling
+# USE_PDFLATEX the default is pdflatex and when in the later case latex is
+# chosen this is overwritten by pdflatex. For specific output languages the
+# default can have been set differently, this depends on the implementation of
+# the output language.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_CMD_NAME         =
+
+# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate
+# index for LaTeX.
+# Note: This tag is used in the Makefile / make.bat.
+# See also: LATEX_MAKEINDEX_CMD for the part in the generated output file
+# (.tex).
+# The default file is: makeindex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+MAKEINDEX_CMD_NAME     = makeindex
+
+# The LATEX_MAKEINDEX_CMD tag can be used to specify the command name to
+# generate index for LaTeX. In case there is no backslash (\) as first character
+# it will be automatically added in the LaTeX code.
+# Note: This tag is used in the generated output file (.tex).
+# See also: MAKEINDEX_CMD_NAME for the part in the Makefile / make.bat.
+# The default value is: makeindex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_MAKEINDEX_CMD    = makeindex
+
+# If the COMPACT_LATEX tag is set to YES, doxygen generates more compact LaTeX
+# documents. This may be useful for small projects and may help to save some
+# trees in general.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+COMPACT_LATEX          = NO
+
+# The PAPER_TYPE tag can be used to set the paper type that is used by the
+# printer.
+# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
+# 14 inches) and executive (7.25 x 10.5 inches).
+# The default value is: a4.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+PAPER_TYPE             = a4
+
+# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names
+# that should be included in the LaTeX output. The package can be specified just
+# by its name or with the correct syntax as to be used with the LaTeX
+# \usepackage command. To get the times font for instance you can specify :
+# EXTRA_PACKAGES=times or EXTRA_PACKAGES={times}
+# To use the option intlimits with the amsmath package you can specify:
+# EXTRA_PACKAGES=[intlimits]{amsmath}
+# If left blank no extra packages will be included.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+EXTRA_PACKAGES         =
+
+# The LATEX_HEADER tag can be used to specify a user-defined LaTeX header for
+# the generated LaTeX document. The header should contain everything until the
+# first chapter. If it is left blank doxygen will generate a standard header. It
+# is highly recommended to start with a default header using
+# doxygen -w latex new_header.tex new_footer.tex new_stylesheet.sty
+# and then modify the file new_header.tex. See also section "Doxygen usage" for
+# information on how to generate the default header that doxygen normally uses.
+#
+# Note: Only use a user-defined header if you know what you are doing!
+# Note: The header is subject to change so you typically have to regenerate the
+# default header when upgrading to a newer version of doxygen. The following
+# commands have a special meaning inside the header (and footer): For a
+# description of the possible markers and block names see the documentation.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_HEADER           =
+
+# The LATEX_FOOTER tag can be used to specify a user-defined LaTeX footer for
+# the generated LaTeX document. The footer should contain everything after the
+# last chapter. If it is left blank doxygen will generate a standard footer. See
+# LATEX_HEADER for more information on how to generate a default footer and what
+# special commands can be used inside the footer. See also section "Doxygen
+# usage" for information on how to generate the default footer that doxygen
+# normally uses. Note: Only use a user-defined footer if you know what you are
+# doing!
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_FOOTER           =
+
+# The LATEX_EXTRA_STYLESHEET tag can be used to specify additional user-defined
+# LaTeX style sheets that are included after the standard style sheets created
+# by doxygen. Using this option one can overrule certain style aspects. Doxygen
+# will copy the style sheet files to the output directory.
+# Note: The order of the extra style sheet files is of importance (e.g. the last
+# style sheet in the list overrules the setting of the previous ones in the
+# list).
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_EXTRA_STYLESHEET =
+
+# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the LATEX_OUTPUT output
+# directory. Note that the files will be copied as-is; there are no commands or
+# markers available.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_EXTRA_FILES      =
+
+# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is
+# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will
+# contain links (just like the HTML output) instead of page references. This
+# makes the output suitable for online browsing using a PDF viewer.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+PDF_HYPERLINKS         = YES
+
+# If the USE_PDFLATEX tag is set to YES, doxygen will use the engine as
+# specified with LATEX_CMD_NAME to generate the PDF file directly from the LaTeX
+# files. Set this option to YES, to get a higher quality PDF documentation.
+#
+# See also section LATEX_CMD_NAME for selecting the engine.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+USE_PDFLATEX           = YES
+
+# The LATEX_BATCHMODE tag ignals the behavior of LaTeX in case of an error.
+# Possible values are: NO same as ERROR_STOP, YES same as BATCH, BATCH In batch
+# mode nothing is printed on the terminal, errors are scrolled as if <return> is
+# hit at every error; missing files that TeX tries to input or request from
+# keyboard input (\read on a not open input stream) cause the job to abort,
+# NON_STOP In nonstop mode the diagnostic message will appear on the terminal,
+# but there is no possibility of user interaction just like in batch mode,
+# SCROLL In scroll mode, TeX will stop only for missing files to input or if
+# keyboard input is necessary and ERROR_STOP In errorstop mode, TeX will stop at
+# each error, asking for user intervention.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_BATCHMODE        = NO
+
+# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the
+# index chapters (such as File Index, Compound Index, etc.) in the output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_HIDE_INDICES     = NO
+
+# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
+# bibliography, e.g. plainnat, or ieeetr. See
+# https://en.wikipedia.org/wiki/BibTeX and \cite for more info.
+# The default value is: plain.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_BIB_STYLE        = plain
+
+# The LATEX_EMOJI_DIRECTORY tag is used to specify the (relative or absolute)
+# path from which the emoji images will be read. If a relative path is entered,
+# it will be relative to the LATEX_OUTPUT directory. If left blank the
+# LATEX_OUTPUT directory will be used.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_EMOJI_DIRECTORY  =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the RTF output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_RTF tag is set to YES, doxygen will generate RTF output. The
+# RTF output is optimized for Word 97 and may not look too pretty with other RTF
+# readers/editors.
+# The default value is: NO.
+
+GENERATE_RTF           = NO
+
+# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: rtf.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_OUTPUT             = rtf
+
+# If the COMPACT_RTF tag is set to YES, doxygen generates more compact RTF
+# documents. This may be useful for small projects and may help to save some
+# trees in general.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+COMPACT_RTF            = NO
+
+# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will
+# contain hyperlink fields. The RTF file will contain links (just like the HTML
+# output) instead of page references. This makes the output suitable for online
+# browsing using Word or some other Word compatible readers that support those
+# fields.
+#
+# Note: WordPad (write) and others do not support links.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_HYPERLINKS         = NO
+
+# Load stylesheet definitions from file. Syntax is similar to doxygen's
+# configuration file, i.e. a series of assignments. You only have to provide
+# replacements, missing definitions are set to their default value.
+#
+# See also section "Doxygen usage" for information on how to generate the
+# default style sheet that doxygen normally uses.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_STYLESHEET_FILE    =
+
+# Set optional variables used in the generation of an RTF document. Syntax is
+# similar to doxygen's configuration file. A template extensions file can be
+# generated using doxygen -e rtf extensionFile.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_EXTENSIONS_FILE    =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the man page output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_MAN tag is set to YES, doxygen will generate man pages for
+# classes and files.
+# The default value is: NO.
+
+GENERATE_MAN           = NO
+
+# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it. A directory man3 will be created inside the directory specified by
+# MAN_OUTPUT.
+# The default directory is: man.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_OUTPUT             = man
+
+# The MAN_EXTENSION tag determines the extension that is added to the generated
+# man pages. In case the manual section does not start with a number, the number
+# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is
+# optional.
+# The default value is: .3.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_EXTENSION          = .3
+
+# The MAN_SUBDIR tag determines the name of the directory created within
+# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by
+# MAN_EXTENSION with the initial . removed.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_SUBDIR             =
+
+# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it
+# will generate one additional man file for each entity documented in the real
+# man page(s). These additional files only source the real man page, but without
+# them the man command would be unable to find the correct page.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_LINKS              = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the XML output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_XML tag is set to YES, doxygen will generate an XML file that
+# captures the structure of the code including all documentation.
+# The default value is: NO.
+
+GENERATE_XML           = YES
+
+# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: xml.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_OUTPUT             = xml
+
+# If the XML_PROGRAMLISTING tag is set to YES, doxygen will dump the program
+# listings (including syntax highlighting and cross-referencing information) to
+# the XML output. Note that enabling this will significantly increase the size
+# of the XML output.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_PROGRAMLISTING     = YES
+
+# If the XML_NS_MEMB_FILE_SCOPE tag is set to YES, doxygen will include
+# namespace members in file scope as well, matching the HTML output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_NS_MEMB_FILE_SCOPE = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the DOCBOOK output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_DOCBOOK tag is set to YES, doxygen will generate Docbook files
+# that can be used to generate PDF.
+# The default value is: NO.
+
+GENERATE_DOCBOOK       = NO
+
+# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.
+# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in
+# front of it.
+# The default directory is: docbook.
+# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
+
+DOCBOOK_OUTPUT         = docbook
+
+#---------------------------------------------------------------------------
+# Configuration options for the AutoGen Definitions output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_AUTOGEN_DEF tag is set to YES, doxygen will generate an
+# AutoGen Definitions (see https://autogen.sourceforge.net/) file that captures
+# the structure of the code including all documentation. Note that this feature
+# is still experimental and incomplete at the moment.
+# The default value is: NO.
+
+GENERATE_AUTOGEN_DEF   = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the Perl module output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_PERLMOD tag is set to YES, doxygen will generate a Perl module
+# file that captures the structure of the code including all documentation.
+#
+# Note that this feature is still experimental and incomplete at the moment.
+# The default value is: NO.
+
+GENERATE_PERLMOD       = NO
+
+# If the PERLMOD_LATEX tag is set to YES, doxygen will generate the necessary
+# Makefile rules, Perl scripts and LaTeX code to be able to generate PDF and DVI
+# output from the Perl module output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_LATEX          = NO
+
+# If the PERLMOD_PRETTY tag is set to YES, the Perl module output will be nicely
+# formatted so it can be parsed by a human reader. This is useful if you want to
+# understand what is going on. On the other hand, if this tag is set to NO, the
+# size of the Perl module output will be much smaller and Perl will parse it
+# just the same.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_PRETTY         = YES
+
+# The names of the make variables in the generated doxyrules.make file are
+# prefixed with the string contained in PERLMOD_MAKEVAR_PREFIX. This is useful
+# so different doxyrules.make files included by the same Makefile don't
+# overwrite each other's variables.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_MAKEVAR_PREFIX =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the preprocessor
+#---------------------------------------------------------------------------
+
+# If the ENABLE_PREPROCESSING tag is set to YES, doxygen will evaluate all
+# C-preprocessor directives found in the sources and include files.
+# The default value is: YES.
+
+ENABLE_PREPROCESSING   = YES
+
+# If the MACRO_EXPANSION tag is set to YES, doxygen will expand all macro names
+# in the source code. If set to NO, only conditional compilation will be
+# performed. Macro expansion can be done in a controlled way by setting
+# EXPAND_ONLY_PREDEF to YES.
+# The default value is: NO.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+MACRO_EXPANSION        = YES
+
+# If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES then
+# the macro expansion is limited to the macros specified with the PREDEFINED and
+# EXPAND_AS_DEFINED tags.
+# The default value is: NO.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+EXPAND_ONLY_PREDEF     = YES
+
+# If the SEARCH_INCLUDES tag is set to YES, the include files in the
+# INCLUDE_PATH will be searched if a #include is found.
+# The default value is: YES.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+SEARCH_INCLUDES        = YES
+
+# The INCLUDE_PATH tag can be used to specify one or more directories that
+# contain include files that are not input files but should be processed by the
+# preprocessor. Note that the INCLUDE_PATH is not recursive, so the setting of
+# RECURSIVE has no effect here.
+# This tag requires that the tag SEARCH_INCLUDES is set to YES.
+
+INCLUDE_PATH           =
+
+# You can use the INCLUDE_FILE_PATTERNS tag to specify one or more wildcard
+# patterns (like *.h and *.hpp) to filter out the header-files in the
+# directories. If left blank, the patterns specified with FILE_PATTERNS will be
+# used.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+INCLUDE_FILE_PATTERNS  =
+
+# The PREDEFINED tag can be used to specify one or more macro names that are
+# defined before the preprocessor is started (similar to the -D option of e.g.
+# gcc). The argument of the tag is a list of macros of the form: name or
+# name=definition (no spaces). If the definition and the "=" are omitted, "=1"
+# is assumed. To prevent a macro definition from being undefined via #undef or
+# recursively expanded use the := operator instead of the = operator.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+PREDEFINED             = GPU_SUPPORT RPP_BACKEND_HIP HIP_COMPILE
+
+# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then this
+# tag can be used to specify a list of macro names that should be expanded. The
+# macro definition that is found in the sources will be used. Use the PREDEFINED
+# tag if you want to use a different macro definition that overrules the
+# definition found in the source code.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+EXPAND_AS_DEFINED      =
+
+# If the SKIP_FUNCTION_MACROS tag is set to YES then doxygen's preprocessor will
+# remove all references to function-like macros that are alone on a line, have
+# an all uppercase name, and do not end with a semicolon. Such function macros
+# are typically used for boiler-plate code, and will confuse the parser if not
+# removed.
+# The default value is: YES.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+SKIP_FUNCTION_MACROS   = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to external references
+#---------------------------------------------------------------------------
+
+# The TAGFILES tag can be used to specify one or more tag files. For each tag
+# file the location of the external documentation should be added. The format of
+# a tag file without this location is as follows:
+# TAGFILES = file1 file2 ...
+# Adding location for the tag files is done as follows:
+# TAGFILES = file1=loc1 "file2 = loc2" ...
+# where loc1 and loc2 can be relative or absolute paths or URLs. See the
+# section "Linking to external documentation" for more information about the use
+# of tag files.
+# Note: Each tag file must have a unique name (where the name does NOT include
+# the path). If a tag file is not located in the directory in which doxygen is
+# run, you must also specify the path to the tagfile here.
+
+TAGFILES               =
+
+# When a file name is specified after GENERATE_TAGFILE, doxygen will create a
+# tag file that is based on the input files it reads. See section "Linking to
+# external documentation" for more information about the usage of tag files.
+
+GENERATE_TAGFILE       = html/tagfile.xml
+
+# If the ALLEXTERNALS tag is set to YES, all external class will be listed in
+# the class index. If set to NO, only the inherited external classes will be
+# listed.
+# The default value is: NO.
+
+ALLEXTERNALS           = NO
+
+# If the EXTERNAL_GROUPS tag is set to YES, all external groups will be listed
+# in the modules index. If set to NO, only the current project's groups will be
+# listed.
+# The default value is: YES.
+
+EXTERNAL_GROUPS        = YES
+
+# If the EXTERNAL_PAGES tag is set to YES, all external pages will be listed in
+# the related pages index. If set to NO, only the current project's pages will
+# be listed.
+# The default value is: YES.
+
+EXTERNAL_PAGES         = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to diagram generator tools
+#---------------------------------------------------------------------------
+
+# If set to YES the inheritance and collaboration graphs will hide inheritance
+# and usage relations if the target is undocumented or is not a class.
+# The default value is: YES.
+
+HIDE_UNDOC_RELATIONS   = YES
+
+# If you set the HAVE_DOT tag to YES then doxygen will assume the dot tool is
+# available from the path. This tool is part of Graphviz (see:
+# https://www.graphviz.org/), a graph visualization toolkit from AT&T and Lucent
+# Bell Labs. The other options in this section have no effect if this option is
+# set to NO
+# The default value is: NO.
+
+HAVE_DOT               = NO
+
+# The DOT_NUM_THREADS specifies the number of dot invocations doxygen is allowed
+# to run in parallel. When set to 0 doxygen will base this on the number of
+# processors available in the system. You can set it explicitly to a value
+# larger than 0 to get control over the balance between CPU load and processing
+# speed.
+# Minimum value: 0, maximum value: 32, default value: 0.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_NUM_THREADS        = 0
+
+# DOT_COMMON_ATTR is common attributes for nodes, edges and labels of
+# subgraphs. When you want a differently looking font in the dot files that
+# doxygen generates you can specify fontname, fontcolor and fontsize attributes.
+# For details please see <a href=https://graphviz.org/doc/info/attrs.html>Node,
+# Edge and Graph Attributes specification</a> You need to make sure dot is able
+# to find the font, which can be done by putting it in a standard location or by
+# setting the DOTFONTPATH environment variable or by setting DOT_FONTPATH to the
+# directory containing the font. Default graphviz fontsize is 14.
+# The default value is: fontname=Helvetica,fontsize=10.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_COMMON_ATTR        = "fontname=Helvetica,fontsize=10"
+
+# DOT_EDGE_ATTR is concatenated with DOT_COMMON_ATTR. For elegant style you can
+# add 'arrowhead=open, arrowtail=open, arrowsize=0.5'. <a
+# href=https://graphviz.org/doc/info/arrows.html>Complete documentation about
+# arrows shapes.</a>
+# The default value is: labelfontname=Helvetica,labelfontsize=10.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_EDGE_ATTR          = "labelfontname=Helvetica,labelfontsize=10"
+
+# DOT_NODE_ATTR is concatenated with DOT_COMMON_ATTR. For view without boxes
+# around nodes set 'shape=plain' or 'shape=plaintext' <a
+# href=https://www.graphviz.org/doc/info/shapes.html>Shapes specification</a>
+# The default value is: shape=box,height=0.2,width=0.4.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_NODE_ATTR          = "shape=box,height=0.2,width=0.4"
+
+# You can set the path where dot can find font specified with fontname in
+# DOT_COMMON_ATTR and others dot attributes.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_FONTPATH           =
+
+# If the CLASS_GRAPH tag is set to YES or GRAPH or BUILTIN then doxygen will
+# generate a graph for each documented class showing the direct and indirect
+# inheritance relations. In case the CLASS_GRAPH tag is set to YES or GRAPH and
+# HAVE_DOT is enabled as well, then dot will be used to draw the graph. In case
+# the CLASS_GRAPH tag is set to YES and HAVE_DOT is disabled or if the
+# CLASS_GRAPH tag is set to BUILTIN, then the built-in generator will be used.
+# If the CLASS_GRAPH tag is set to TEXT the direct and indirect inheritance
+# relations will be shown as texts / links.
+# Possible values are: NO, YES, TEXT, GRAPH and BUILTIN.
+# The default value is: YES.
+
+CLASS_GRAPH            = YES
+
+# If the COLLABORATION_GRAPH tag is set to YES then doxygen will generate a
+# graph for each documented class showing the direct and indirect implementation
+# dependencies (inheritance, containment, and class references variables) of the
+# class with other documented classes.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+COLLABORATION_GRAPH    = YES
+
+# If the GROUP_GRAPHS tag is set to YES then doxygen will generate a graph for
+# groups, showing the direct groups dependencies. See also the chapter Grouping
+# in the manual.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GROUP_GRAPHS           = YES
+
+# If the UML_LOOK tag is set to YES, doxygen will generate inheritance and
+# collaboration diagrams in a style similar to the OMG's Unified Modeling
+# Language.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+UML_LOOK               = NO
+
+# If the UML_LOOK tag is enabled, the fields and methods are shown inside the
+# class node. If there are many fields or methods and many nodes the graph may
+# become too big to be useful. The UML_LIMIT_NUM_FIELDS threshold limits the
+# number of items for each type to make the size more manageable. Set this to 0
+# for no limit. Note that the threshold may be exceeded by 50% before the limit
+# is enforced. So when you set the threshold to 10, up to 15 fields may appear,
+# but if the number exceeds 15, the total amount of fields shown is limited to
+# 10.
+# Minimum value: 0, maximum value: 100, default value: 10.
+# This tag requires that the tag UML_LOOK is set to YES.
+
+UML_LIMIT_NUM_FIELDS   = 10
+
+# If the DOT_UML_DETAILS tag is set to NO, doxygen will show attributes and
+# methods without types and arguments in the UML graphs. If the DOT_UML_DETAILS
+# tag is set to YES, doxygen will add type and arguments for attributes and
+# methods in the UML graphs. If the DOT_UML_DETAILS tag is set to NONE, doxygen
+# will not generate fields with class member information in the UML graphs. The
+# class diagrams will look similar to the default class diagrams but using UML
+# notation for the relationships.
+# Possible values are: NO, YES and NONE.
+# The default value is: NO.
+# This tag requires that the tag UML_LOOK is set to YES.
+
+DOT_UML_DETAILS        = NO
+
+# The DOT_WRAP_THRESHOLD tag can be used to set the maximum number of characters
+# to display on a single line. If the actual line length exceeds this threshold
+# significantly it will wrapped across multiple lines. Some heuristics are apply
+# to avoid ugly line breaks.
+# Minimum value: 0, maximum value: 1000, default value: 17.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_WRAP_THRESHOLD     = 17
+
+# If the TEMPLATE_RELATIONS tag is set to YES then the inheritance and
+# collaboration graphs will show the relations between templates and their
+# instances.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+TEMPLATE_RELATIONS     = NO
+
+# If the INCLUDE_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are set to
+# YES then doxygen will generate a graph for each documented file showing the
+# direct and indirect include dependencies of the file with other documented
+# files.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INCLUDE_GRAPH          = YES
+
+# If the INCLUDED_BY_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are
+# set to YES then doxygen will generate a graph for each documented file showing
+# the direct and indirect include dependencies of the file with other documented
+# files.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INCLUDED_BY_GRAPH      = YES
+
+# If the CALL_GRAPH tag is set to YES then doxygen will generate a call
+# dependency graph for every global function or class method.
+#
+# Note that enabling this option will significantly increase the time of a run.
+# So in most cases it will be better to enable call graphs for selected
+# functions only using the \callgraph command. Disabling a call graph can be
+# accomplished by means of the command \hidecallgraph.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CALL_GRAPH             = NO
+
+# If the CALLER_GRAPH tag is set to YES then doxygen will generate a caller
+# dependency graph for every global function or class method.
+#
+# Note that enabling this option will significantly increase the time of a run.
+# So in most cases it will be better to enable caller graphs for selected
+# functions only using the \callergraph command. Disabling a caller graph can be
+# accomplished by means of the command \hidecallergraph.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CALLER_GRAPH           = NO
+
+# If the GRAPHICAL_HIERARCHY tag is set to YES then doxygen will graphical
+# hierarchy of all classes instead of a textual one.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GRAPHICAL_HIERARCHY    = YES
+
+# If the DIRECTORY_GRAPH tag is set to YES then doxygen will show the
+# dependencies a directory has on other directories in a graphical way. The
+# dependency relations are determined by the #include relations between the
+# files in the directories.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DIRECTORY_GRAPH        = YES
+
+# The DIR_GRAPH_MAX_DEPTH tag can be used to limit the maximum number of levels
+# of child directories generated in directory dependency graphs by dot.
+# Minimum value: 1, maximum value: 25, default value: 1.
+# This tag requires that the tag DIRECTORY_GRAPH is set to YES.
+
+DIR_GRAPH_MAX_DEPTH    = 1
+
+# The DOT_IMAGE_FORMAT tag can be used to set the image format of the images
+# generated by dot. For an explanation of the image formats see the section
+# output formats in the documentation of the dot tool (Graphviz (see:
+# https://www.graphviz.org/)).
+# Note: If you choose svg you need to set HTML_FILE_EXTENSION to xhtml in order
+# to make the SVG files visible in IE 9+ (other browsers do not have this
+# requirement).
+# Possible values are: png, jpg, gif, svg, png:gd, png:gd:gd, png:cairo,
+# png:cairo:gd, png:cairo:cairo, png:cairo:gdiplus, png:gdiplus and
+# png:gdiplus:gdiplus.
+# The default value is: png.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_IMAGE_FORMAT       = svg
+
+# If DOT_IMAGE_FORMAT is set to svg, then this option can be set to YES to
+# enable generation of interactive SVG images that allow zooming and panning.
+#
+# Note that this requires a modern browser other than Internet Explorer. Tested
+# and working are Firefox, Chrome, Safari, and Opera.
+# Note: For IE 9+ you need to set HTML_FILE_EXTENSION to xhtml in order to make
+# the SVG files visible. Older versions of IE do not have SVG support.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INTERACTIVE_SVG        = YES
+
+# The DOT_PATH tag can be used to specify the path where the dot tool can be
+# found. If left blank, it is assumed the dot tool can be found in the path.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_PATH               =
+
+# The DOTFILE_DIRS tag can be used to specify one or more directories that
+# contain dot files that are included in the documentation (see the \dotfile
+# command).
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOTFILE_DIRS           =
+
+# You can include diagrams made with dia in doxygen documentation. Doxygen will
+# then run dia to produce the diagram and insert it in the documentation. The
+# DIA_PATH tag allows you to specify the directory where the dia binary resides.
+# If left empty dia is assumed to be found in the default search path.
+
+DIA_PATH               =
+
+# The DIAFILE_DIRS tag can be used to specify one or more directories that
+# contain dia files that are included in the documentation (see the \diafile
+# command).
+
+DIAFILE_DIRS           =
+
+# When using plantuml, the PLANTUML_JAR_PATH tag should be used to specify the
+# path where java can find the plantuml.jar file or to the filename of jar file
+# to be used. If left blank, it is assumed PlantUML is not used or called during
+# a preprocessing step. Doxygen will generate a warning when it encounters a
+# \startuml command in this case and will not generate output for the diagram.
+
+PLANTUML_JAR_PATH      =
+
+# When using plantuml, the PLANTUML_CFG_FILE tag can be used to specify a
+# configuration file for plantuml.
+
+PLANTUML_CFG_FILE      =
+
+# When using plantuml, the specified paths are searched for files specified by
+# the !include statement in a plantuml block.
+
+PLANTUML_INCLUDE_PATH  =
+
+# The DOT_GRAPH_MAX_NODES tag can be used to set the maximum number of nodes
+# that will be shown in the graph. If the number of nodes in a graph becomes
+# larger than this value, doxygen will truncate the graph, which is visualized
+# by representing a node as a red box. Note that doxygen if the number of direct
+# children of the root node in a graph is already larger than
+# DOT_GRAPH_MAX_NODES then the graph will not be shown at all. Also note that
+# the size of a graph can be further restricted by MAX_DOT_GRAPH_DEPTH.
+# Minimum value: 0, maximum value: 10000, default value: 50.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_GRAPH_MAX_NODES    = 50
+
+# The MAX_DOT_GRAPH_DEPTH tag can be used to set the maximum depth of the graphs
+# generated by dot. A depth value of 3 means that only nodes reachable from the
+# root by following a path via at most 3 edges will be shown. Nodes that lay
+# further from the root node will be omitted. Note that setting this option to 1
+# or 2 may greatly reduce the computation time needed for large code bases. Also
+# note that the size of a graph can be further restricted by
+# DOT_GRAPH_MAX_NODES. Using a depth of 0 means no depth restriction.
+# Minimum value: 0, maximum value: 1000, default value: 0.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+MAX_DOT_GRAPH_DEPTH    = 0
+
+# Set the DOT_MULTI_TARGETS tag to YES to allow dot to generate multiple output
+# files in one run (i.e. multiple -o and -T options on the command line). This
+# makes dot run faster, but since only newer versions of dot (>1.8.10) support
+# this, this feature is disabled by default.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_MULTI_TARGETS      = NO
+
+# If the GENERATE_LEGEND tag is set to YES doxygen will generate a legend page
+# explaining the meaning of the various boxes and arrows in the dot generated
+# graphs.
+# Note: This tag requires that UML_LOOK isn't set, i.e. the doxygen internal
+# graphical representation for inheritance and collaboration diagrams is used.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GENERATE_LEGEND        = YES
+
+# If the DOT_CLEANUP tag is set to YES, doxygen will remove the intermediate
+# files that are used to generate the various graphs.
+#
+# Note: This setting is not only used for dot files but also for msc temporary
+# files.
+# The default value is: YES.
+
+DOT_CLEANUP            = YES
+
+# You can define message sequence charts within doxygen comments using the \msc
+# command. If the MSCGEN_TOOL tag is left empty (the default), then doxygen will
+# use a built-in version of mscgen tool to produce the charts. Alternatively,
+# the MSCGEN_TOOL tag can also specify the name an external tool. For instance,
+# specifying prog as the value, doxygen will call the tool as prog -T
+# <outfile_format> -o <outputfile> <inputfile>. The external tool should support
+# output file formats "png", "eps", "svg", and "ismap".
+
+MSCGEN_TOOL            =
+
+# The MSCFILE_DIRS tag can be used to specify one or more directories that
+# contain msc files that are included in the documentation (see the \mscfile
+# command).
+
+MSCFILE_DIRS           =
diff --git a/docs/doxygen/DoxygenLayout.xml b/docs/doxygen/DoxygenLayout.xml
new file mode 100644
index 000000000..08742b052
--- /dev/null
+++ b/docs/doxygen/DoxygenLayout.xml
@@ -0,0 +1,238 @@
+<doxygenlayout version="1.0">
+  <!-- Generated by doxygen 1.9.7 -->
+  <!-- Navigation index tabs for HTML output -->
+  <navindex>
+    <tab type="mainpage" visible="yes" title="Introduction"/>
+    <tab type="pages" visible="yes" title="" intro=""/>
+    <tab type="topics" visible="yes" title="RPP APIs" intro=""/>
+    <tab type="namespaces" visible="yes" title="">
+      <tab type="namespacelist" visible="yes" title="" intro=""/>
+      <tab type="namespacemembers" visible="yes" title="" intro=""/>
+    </tab>
+    <tab type="concepts" visible="yes" title="">
+    </tab>
+    <tab type="interfaces" visible="yes" title="">
+      <tab type="interfacelist" visible="yes" title="" intro=""/>
+      <tab type="interfaceindex" visible="$ALPHABETICAL_INDEX" title=""/>
+      <tab type="interfacehierarchy" visible="yes" title="" intro=""/>
+    </tab>
+    <tab type="classes" visible="no" title="">
+      <tab type="classlist" visible="no" title="" intro=""/>
+      <tab type="hierarchy" visible="no" title="" intro=""/>
+      <tab type="classmembers" visible="no" title="" intro=""/>
+    </tab>
+    <tab type="structs" visible="no" title="">
+      <tab type="structlist" visible="no" title="" intro=""/>
+    </tab>
+    <tab type="exceptions" visible="yes" title="">
+      <tab type="exceptionlist" visible="yes" title="" intro=""/>
+      <tab type="exceptionindex" visible="$ALPHABETICAL_INDEX" title=""/>
+      <tab type="exceptionhierarchy" visible="yes" title="" intro=""/>
+    </tab>
+    <tab type="files" visible="yes" title="RPP Header Files">
+      <tab type="filelist" visible="no" title="" intro=""/>
+      <tab type="globals" visible="no" title="" intro=""/>
+    </tab>
+    <tab type="examples" visible="yes" title="" intro=""/>
+  </navindex>
+
+  <!-- Layout definition for a class page -->
+  <class>
+    <briefdescription visible="yes"/>
+    <includes visible="$SHOW_HEADERFILE"/>
+    <inheritancegraph visible="$CLASS_GRAPH"/>
+    <collaborationgraph visible="$COLLABORATION_GRAPH"/>
+    <memberdecl>
+      <nestedclasses visible="yes" title=""/>
+      <publictypes title=""/>
+      <services title=""/>
+      <interfaces title=""/>
+      <publicslots title=""/>
+      <signals title=""/>
+      <publicmethods title=""/>
+      <publicstaticmethods title=""/>
+      <publicattributes title=""/>
+      <publicstaticattributes title=""/>
+      <protectedtypes title=""/>
+      <protectedslots title=""/>
+      <protectedmethods title=""/>
+      <protectedstaticmethods title=""/>
+      <protectedattributes title=""/>
+      <protectedstaticattributes title=""/>
+      <packagetypes title=""/>
+      <packagemethods title=""/>
+      <packagestaticmethods title=""/>
+      <packageattributes title=""/>
+      <packagestaticattributes title=""/>
+      <properties title=""/>
+      <events title=""/>
+      <privatetypes title=""/>
+      <privateslots title=""/>
+      <privatemethods title=""/>
+      <privatestaticmethods title=""/>
+      <privateattributes title=""/>
+      <privatestaticattributes title=""/>
+      <friends title=""/>
+      <related title="" subtitle=""/>
+      <membergroups visible="yes"/>
+    </memberdecl>
+    <detaileddescription title=""/>
+    <memberdef>
+      <inlineclasses title=""/>
+      <typedefs title=""/>
+      <enums title=""/>
+      <services title=""/>
+      <interfaces title=""/>
+      <constructors title=""/>
+      <functions title=""/>
+      <related title=""/>
+      <variables title=""/>
+      <properties title=""/>
+      <events title=""/>
+    </memberdef>
+    <allmemberslink visible="yes"/>
+    <usedfiles visible="$SHOW_USED_FILES"/>
+    <authorsection visible="yes"/>
+  </class>
+
+  <!-- Layout definition for a namespace page -->
+  <namespace>
+    <briefdescription visible="yes"/>
+    <memberdecl>
+      <nestednamespaces visible="yes" title=""/>
+      <constantgroups visible="yes" title=""/>
+      <interfaces visible="yes" title=""/>
+      <classes visible="yes" title=""/>
+      <concepts visible="yes" title=""/>
+      <structs visible="yes" title=""/>
+      <exceptions visible="yes" title=""/>
+      <typedefs title=""/>
+      <sequences title=""/>
+      <dictionaries title=""/>
+      <enums title=""/>
+      <functions title=""/>
+      <variables title=""/>
+      <membergroups visible="yes"/>
+    </memberdecl>
+    <detaileddescription title=""/>
+    <memberdef>
+      <inlineclasses title=""/>
+      <typedefs title=""/>
+      <sequences title=""/>
+      <dictionaries title=""/>
+      <enums title=""/>
+      <functions title=""/>
+      <variables title=""/>
+    </memberdef>
+    <authorsection visible="yes"/>
+  </namespace>
+
+  <!-- Layout definition for a concept page -->
+  <concept>
+    <briefdescription visible="yes"/>
+    <includes visible="$SHOW_HEADERFILE"/>
+    <definition visible="yes" title=""/>
+    <detaileddescription title=""/>
+    <authorsection visible="yes"/>
+  </concept>
+
+  <!-- Layout definition for a file page -->
+  <file>
+    <briefdescription visible="yes"/>
+    <includes visible="$SHOW_INCLUDE_FILES"/>
+    <includegraph visible="$INCLUDE_GRAPH"/>
+    <includedbygraph visible="$INCLUDED_BY_GRAPH"/>
+    <sourcelink visible="yes"/>
+    <memberdecl>
+      <interfaces visible="yes" title=""/>
+      <classes visible="yes" title=""/>
+      <structs visible="yes" title=""/>
+      <exceptions visible="yes" title=""/>
+      <namespaces visible="yes" title=""/>
+      <concepts visible="yes" title=""/>
+      <constantgroups visible="yes" title=""/>
+      <defines title=""/>
+      <typedefs title=""/>
+      <sequences title=""/>
+      <dictionaries title=""/>
+      <enums title=""/>
+      <functions title=""/>
+      <variables title=""/>
+      <membergroups visible="yes"/>
+    </memberdecl>
+    <detaileddescription title=""/>
+    <memberdef>
+      <inlineclasses title=""/>
+      <defines title=""/>
+      <typedefs title=""/>
+      <sequences title=""/>
+      <dictionaries title=""/>
+      <enums title=""/>
+      <functions title=""/>
+      <variables title=""/>
+    </memberdef>
+    <authorsection/>
+  </file>
+
+  <!-- Layout definition for a group page -->
+  <group>
+    <briefdescription visible="yes"/>
+    <groupgraph visible="$GROUP_GRAPHS"/>
+    <memberdecl>
+      <nestedgroups visible="yes" title=""/>
+      <dirs visible="yes" title=""/>
+      <files visible="yes" title=""/>
+      <namespaces visible="yes" title=""/>
+      <concepts visible="yes" title=""/>
+      <classes visible="yes" title=""/>
+      <defines title=""/>
+      <typedefs title=""/>
+      <sequences title=""/>
+      <dictionaries title=""/>
+      <enums title=""/>
+      <enumvalues title=""/>
+      <functions title=""/>
+      <variables title=""/>
+      <signals title=""/>
+      <publicslots title=""/>
+      <protectedslots title=""/>
+      <privateslots title=""/>
+      <events title=""/>
+      <properties title=""/>
+      <friends title=""/>
+      <membergroups visible="yes"/>
+    </memberdecl>
+    <detaileddescription title=""/>
+    <memberdef>
+      <pagedocs/>
+      <inlineclasses title=""/>
+      <defines title=""/>
+      <typedefs title=""/>
+      <sequences title=""/>
+      <dictionaries title=""/>
+      <enums title=""/>
+      <enumvalues title=""/>
+      <functions title=""/>
+      <variables title=""/>
+      <signals title=""/>
+      <publicslots title=""/>
+      <protectedslots title=""/>
+      <privateslots title=""/>
+      <events title=""/>
+      <properties title=""/>
+      <friends title=""/>
+    </memberdef>
+    <authorsection visible="yes"/>
+  </group>
+
+  <!-- Layout definition for a directory page -->
+  <directory>
+    <briefdescription visible="yes"/>
+    <directorygraph visible="yes"/>
+    <memberdecl>
+      <dirs visible="yes"/>
+      <files visible="yes"/>
+    </memberdecl>
+    <detaileddescription title=""/>
+  </directory>
+</doxygenlayout>
diff --git a/docs/index.md b/docs/index.md
deleted file mode 100644
index 8c8ddf9b1..000000000
--- a/docs/index.md
+++ /dev/null
@@ -1,10 +0,0 @@
-[![MIT licensed](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
-[![Build Status](https://travis-ci.com/GPUOpen-ProfessionalCompute-Libraries/rpp.svg?branch=master)](https://travis-ci.com/GPUOpen-ProfessionalCompute-Libraries/rpp)
-
-# ROCm Performance Primitives Library
-
-AMD ROCm Performance Primitives (**RPP**) library is a comprehensive high-performance computer vision library for AMD processors with `HIP`/`OpenCL`/`CPU` back-ends.
-
-#### Latest Release
-
-[![GitHub tag (latest SemVer)](https://img.shields.io/github/v/tag/GPUOpen-ProfessionalCompute-Libraries/rpp?style=for-the-badge)](https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp/releases)
diff --git a/docs/license.md b/docs/license.md
new file mode 100644
index 000000000..89819476e
--- /dev/null
+++ b/docs/license.md
@@ -0,0 +1,4 @@
+# License
+
+```{include} ../LICENSE
+```
diff --git a/docs/prereq.md b/docs/prereq.md
index 0b2b22aa8..6b4ef0d46 100644
--- a/docs/prereq.md
+++ b/docs/prereq.md
@@ -35,16 +35,6 @@
 
 * CMake Version `3.5` and above
 
-* Boost Version `1.72` and above
-  ```
-  wget https://boostorg.jfrog.io/artifactory/main/release/1.72.0/source/boost_1_72_0.tar.gz
-  tar -xzvf boost_1_72_0.tar.gz
-  cd boost_1_72_0
-  ./bootstrap.sh
-  ./b2 install
-  ```
-  + **NOTE:** [Install from source](https://www.boost.org/doc/libs/1_72_0/more/getting_started/unix-variants.html#easy-build-and-install)
-
 * IEEE 754-based half-precision floating-point library - half.hpp
 
   ```
diff --git a/docs/sphinx/_toc.yml.in b/docs/sphinx/_toc.yml.in
new file mode 100644
index 000000000..838e9f191
--- /dev/null
+++ b/docs/sphinx/_toc.yml.in
@@ -0,0 +1,10 @@
+# Anywhere {branch} is used, the branch name will be substituted.
+# These comments will also be removed.
+root: doxygen/html/index
+subtrees:
+  - caption: Support
+    entries:
+    - file: tech_support
+  - caption: About
+    entries:
+    - file: license
diff --git a/docs/sphinx/requirements.in b/docs/sphinx/requirements.in
new file mode 100644
index 000000000..33b055030
--- /dev/null
+++ b/docs/sphinx/requirements.in
@@ -0,0 +1 @@
+rocm-docs-core[api_reference]==0.27.0
diff --git a/docs/.sphinx/requirements.txt b/docs/sphinx/requirements.txt
similarity index 82%
rename from docs/.sphinx/requirements.txt
rename to docs/sphinx/requirements.txt
index 765f3fdd2..fa09f56dc 100644
--- a/docs/.sphinx/requirements.txt
+++ b/docs/sphinx/requirements.txt
@@ -1,5 +1,5 @@
 #
-# This file is autogenerated by pip-compile with Python 3.8
+# This file is autogenerated by pip-compile with Python 3.10
 # by the following command:
 #
 #    pip-compile requirements.in
@@ -25,7 +25,12 @@ cffi==1.15.1
 charset-normalizer==3.1.0
     # via requests
 click==8.1.3
-    # via sphinx-external-toc
+    # via
+    #   click-log
+    #   doxysphinx
+    #   sphinx-external-toc
+click-log==0.4.0
+    # via doxysphinx
 cryptography==40.0.2
     # via pyjwt
 deprecated==1.2.13
@@ -36,6 +41,8 @@ docutils==0.19
     #   myst-parser
     #   pydata-sphinx-theme
     #   sphinx
+doxysphinx==3.3.7
+    # via rocm-docs-core
 fastjsonschema==2.16.3
     # via rocm-docs-core
 gitdb==4.0.10
@@ -50,6 +57,10 @@ jinja2==3.1.2
     # via
     #   myst-parser
     #   sphinx
+libsass==0.22.0
+    # via doxysphinx
+lxml==4.9.3
+    # via doxysphinx
 markdown-it-py==2.2.0
     # via
     #   mdit-py-plugins
@@ -60,6 +71,8 @@ mdit-py-plugins==0.3.5
     # via myst-parser
 mdurl==0.1.2
     # via markdown-it-py
+mpire==2.8.0
+    # via doxysphinx
 myst-parser==1.0.0
     # via rocm-docs-core
 packaging==23.0
@@ -77,12 +90,19 @@ pygithub==1.58.1
 pygments==2.14.0
     # via
     #   accessible-pygments
+    #   mpire
     #   pydata-sphinx-theme
     #   sphinx
+pyjson5==1.6.4
+    # via doxysphinx
 pyjwt[crypto]==2.6.0
-    # via pygithub
+    # via
+    #   pygithub
+    #   pyjwt
 pynacl==1.5.0
     # via pygithub
+pyparsing==3.1.1
+    # via doxysphinx
 pyyaml==6.0
     # via
     #   myst-parser
@@ -92,8 +112,10 @@ requests==2.28.2
     # via
     #   pygithub
     #   sphinx
-rocm-docs-core==0.24.0
-    # via -r requirements.in
+rocm-docs-core[api-reference]==0.27.0
+    # via
+    #   -r requirements.in
+    #   rocm-docs-core
 smmap==5.0.0
     # via gitdb
 snowballstemmer==2.2.0
@@ -133,6 +155,8 @@ sphinxcontrib-qthelp==1.0.3
     # via sphinx
 sphinxcontrib-serializinghtml==1.1.5
     # via sphinx
+tqdm==4.66.1
+    # via mpire
 typing-extensions==4.5.0
     # via pydata-sphinx-theme
 urllib3==1.26.15
diff --git a/include/config.h b/include/filesystem.h
similarity index 80%
rename from include/config.h
rename to include/filesystem.h
index e161696a5..b192e4b0f 100644
--- a/include/config.h
+++ b/include/filesystem.h
@@ -20,5 +20,10 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 THE SOFTWARE.
 */
 
-//#cmakedefine HIP_OC_COMPILER "@HIP_OC_COMPILER@"
-#define RPP_GPU_SYNC 0
+#if __cplusplus >= 201703L && __has_include(<filesystem>)
+    #include <filesystem>
+    namespace fs = std::filesystem;
+#elif __has_include(<experimental/filesystem>)
+    #include <experimental/filesystem>
+    namespace fs = std::experimental::filesystem;
+#endif
\ No newline at end of file
diff --git a/include/rpp.h b/include/rpp.h
index 87ab55cca..5b8112a67 100644
--- a/include/rpp.h
+++ b/include/rpp.h
@@ -23,12 +23,10 @@ THE SOFTWARE.
 #ifndef RPP_H
 #define RPP_H
 
-/*!
- * \file
- * \brief ROCm Performance Primitives(RPP) Library for high performance computer vision applications on AMD processors.
- *
- * \defgroup group_rpp RPP API
- * \brief ROCm Performance Primitives - Main.
+/*! \file
+ * \brief RPP top-level header with RPP handle API.
+ * \defgroup group_rpp RPP handle API
+ * \brief RPP API to create and destroy RPP HOST/GPU handle.
  */
 
 #include <export.h>
@@ -41,23 +39,34 @@ THE SOFTWARE.
 #else
 #include <CL/cl.h>
 #endif
+/*! \brief Set rppAcceleratorQueue_t to cl_command_queue if RPP_BACKEND_OPENCL \ingroup group_rpp */
 typedef cl_command_queue rppAcceleratorQueue_t;
 
 #elif RPP_BACKEND_HIP
 
 #include <hip/hip_runtime_api.h>
+/*! \brief Set rppAcceleratorQueue_t to hipStream_t if RPP_BACKEND_HIP \ingroup group_rpp */
 typedef hipStream_t rppAcceleratorQueue_t;
 
 #endif
 
-// Constructs type name from a struct
+/*! \brief Construct type name from a struct
+ * \ingroup group_rpp
+ */
 #define RPP_DECLARE_OBJECT(name)    \
     struct name                     \
     {                               \
     };                              \
     typedef struct name* name##_t;
 
+/*! \brief RPP handle type creation.
+ * \ingroup group_rpp
+ */
 RPP_DECLARE_OBJECT(rppHandle);      // Create the rppHandle_t type
+
+/*! \brief RPP handle.
+ * \ingroup group_rpp
+ */
 typedef rppHandle_t RppHandle_t;    // Create typedef for RppHandle_t
 
 #if _WIN32
@@ -66,14 +75,13 @@ typedef rppHandle_t RppHandle_t;    // Create typedef for RppHandle_t
 #define SHARED_PUBLIC __attribute__ ((visibility ("default")))
 #endif
 
-#include "rppcore.h"
 #include "rppdefs.h"
 #include "rppi.h"
 #include "rppt.h"
 #include "rppversion.h"
 
 /*! \brief Handles RPP context allocations.
- * \details Custom allocator function to allow for user-defined custom allocation
+ * \details Custom allocator function to allow for user-defined custom allocation.
  * \param [in] context A pointer to a context.
  * \param [in] sizeBytes Number of bytes to allocate.
  * \ingroup group_rpp
@@ -81,9 +89,9 @@ typedef rppHandle_t RppHandle_t;    // Create typedef for RppHandle_t
 typedef void* (*rppAllocatorFunction)(void* context, size_t sizeBytes);
 
 /*! \brief Handles RPP context allocations.
- * \details Custom deallocator function to allow for user-defined custom deallocation
- * \param [in] context A pointer to a context
- * \param [in] memory A pointer to allocated memory
+ * \details Custom deallocator function to allow for user-defined custom deallocation.
+ * \param [in] context A pointer to a context.
+ * \param [in] memory A pointer to allocated memory.
  * \ingroup group_rpp
  */
 typedef void (*rppDeallocatorFunction)(void* context, void* memory);
@@ -92,154 +100,269 @@ typedef void (*rppDeallocatorFunction)(void* context, void* memory);
 extern "C" {
 #endif
 
-/*! \brief Returns Error String
- * \details Returns a NULL terminated character string of the passed error code
- * \param [in] error Error status of rppStatus_t type
+/*! \brief Returns error string.
+ * \details Returns a NULL terminated character string of the passed error code.
+ * \param [in] error Error status of rppStatus_t type.
  * \ingroup group_rpp
- * \return <tt> string</tt>.
- * \returns errorString
+ * \return <tt>\ref const char*</tt>
+ * \returns Returns an error string among those listed under \ref rppStatus_t.
  */
 extern "C" SHARED_PUBLIC const char* rppGetErrorString(rppStatus_t error);
 
-/*! \brief Creates RPP Handle
- * \details Function to create a rpp handle. To be called in the beginning to initialize the rpp environment
- * \param [in] handle A pointer to rpp handle of type rppHandle_t
+/*! \brief Creates RPP handle for HOST single image processing - To be deprecated.
+ * \details Function to create a RPP handle. To be called in the beginning to initialize the RPP environment.
+ * \param [in] handle A pointer to RPP handle of type <tt> \ref rppHandle_t</tt>.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
+ * \deprecated
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppCreate(rppHandle_t* handle);
 
-/*! \brief Creates RPP Handle for a Batch
- * \details Function to create a rpp handle for a batch. To be called in the beginning to initialize the rpp environment
- * \param [in] handle A pointer to rpp handle of type rppHandle_t
- * \param [in] nBatchSize Batch size
- * \param [in] numThreads number of threads to be used for OpenMP pragma
+/*! \brief Creates RPP handle for HOST batch processing.
+ * \details Function to create a RPP handle for a batch. To be called in the beginning to initialize the RPP environment.
+ * \param [in] handle A pointer to RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] nBatchSize Batch size.
+ * \param [in] numThreads Number of threads to be used for OpenMP pragma.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppCreateWithBatchSize(rppHandle_t* handle, size_t nBatchSize, Rpp32u numThreads = 0);
 
-/*! \brief Destory RPP Handle
- * \details Function to destroy a rpp handle. To be called in the end to break down the rpp environment
- * \param [in] handle An rpp handle of type rppHandle_t
+/*! \brief Destory RPP handle.
+ * \details Function to destroy a RPP handle. To be called in the end to break down the RPP environment.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppDestroy(rppHandle_t handle);
 
-/*! \brief Destory RPP HOST Handle
- * \details Function to destroy a rpp handle's host memory allocation. To be called in the end to break down the rpp environment
- * \param [in] handle An rpp handle of type rppHandle_t
+/*! \brief Destory RPP HOST handle - To be deprecated.
+ * \details Function to destroy a RPP handle's host memory allocation. To be called in the end to break down the rpp environment.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
+ * \deprecated
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppDestroyHost(rppHandle_t handle);
 
-/*! \brief Set BatchSize given a RPP Handle
- * \details Function to set batch size for handle previously created
- * \param [in] handle An rpp handle of type rppHandle_t
- * \param [in] batchSize Batch size
+/*! \brief Set batch size given a RPP handle.
+ * \details Function to set batch size for handle previously created.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] batchSize Batch size.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppSetBatchSize(rppHandle_t handle, size_t batchSize);
 
-/*! \brief Retrieve BatchSize given a RPP Handle
- * \details Function to get batch size for handle previously created
- * \param [in] handle An rpp handle of type rppHandle_t
+/*! \brief Get batch size given a RPP Handle.
+ * \details Function to get batch size for handle previously created.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
  * \param [in] batchSize Batch size
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppGetBatchSize(rppHandle_t handle, size_t *batchSize);
 
 #if GPU_SUPPORT
 
-/*! \brief Create RPP Handle with Stream
- * \details Function to create a rpp handle with an accelerator stream. To be called in the beginning to initialize the rpp environment
- * \param [in] handle A pointer to rpp handle of type rppHandle_t
- * \param [in] stream An accelerator queue of type rppAcceleratorQueue_t (hipStream_t for HIP and cl_command_queue for OpenCL)
+/*! \brief Creates RPP handle with accelerator stream for GPU single image processing - To be deprecated.
+ * \details Function to create a RPP handle with an accelerator stream. To be called in the beginning to initialize the RPP environment.
+ * \param [in] handle A pointer to RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] stream An accelerator queue of type <tt> \ref rppAcceleratorQueue_t</tt> (hipStream_t for HIP and cl_command_queue for OpenCL).
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
+ * \deprecated
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppCreateWithStream(rppHandle_t* handle, rppAcceleratorQueue_t stream);
 
-/*! \brief Create RPP Handle with Stream for a Batch
- * \details Function to create a rpp handle with an accelerator stream for a batch. To be called in the beginning to initialize the rpp environment
- * \param [in] handle A pointer to rpp handle of type rppHandle_t
- * \param [in] stream An accelerator queue of type rppAcceleratorQueue_t (hipStream_t for HIP and cl_command_queue for OpenCL)
+/*! \brief Creates RPP handle with accelerator stream for GPU batch processing.
+ * \details Function to create a RPP handle with an accelerator stream for a batch. To be called in the beginning to initialize the RPP environment.
+ * \param [in] handle A pointer to RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] stream An accelerator queue of type <tt> \ref rppAcceleratorQueue_t</tt> (hipStream_t for HIP and cl_command_queue for OpenCL).
  * \param [in] nBatchSize Batch size
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppCreateWithStreamAndBatchSize(rppHandle_t* handle, rppAcceleratorQueue_t stream, size_t nBatchSize);
 
-/*! \brief Destory RPP GPU Handle
- * \details Function to destroy a rpp handle's device memory allocation. To be called in the end to break down the rpp environment
- * \param [in] handle An rpp handle of type rppHandle_t
+/*! \brief Destory RPP GPU handle.
+ * \details Function to destroy a RPP handle's device memory allocation. To be called in the end to break down the RPP environment.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppDestroyGPU(rppHandle_t handle);
 
-/*! \brief Set stream for a Handle
- * \details Function to set an accelerator command queue previously created
- * \param [in] handle An rpp handle of type rppHandle_t
- * \param [in] stream An accelerator queue of type rppAcceleratorQueue_t (hipStream_t for HIP and cl_command_queue for OpenCL)
+/*! \brief Set accelerator stream given a RPP handle.
+ * \details Function to set an accelerator stream previously created.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] stream An accelerator queue of type <tt> \ref rppAcceleratorQueue_t</tt> (hipStream_t for HIP and cl_command_queue for OpenCL).
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppSetStream(rppHandle_t handle, rppAcceleratorQueue_t streamID);
 
-/*! \brief Get stream for a Handle
- * \details Function to get an accelerator command queue previously created
- * \param [in] handle An rpp handle of type rppHandle_t
- * \param [in] stream An accelerator queue of type rppAcceleratorQueue_t (hipStream_t for HIP and cl_command_queue for OpenCL)
+/*! \brief Get accelerator stream given a RPP handle.
+ * \details Function to get an accelerator stream previously created.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] stream An accelerator queue of type <tt> \ref rppAcceleratorQueue_t</tt> (hipStream_t for HIP and cl_command_queue for OpenCL).
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppGetStream(rppHandle_t handle, rppAcceleratorQueue_t* streamID);
 
-/*! \brief Set Allocator for a Handle
- * \details Function to set allocator for previously created rppHandle_t
- * \param [in] handle An rpp handle of type rppHandle_t
+/*! \brief Set allocator given a RPP handle.
+ * \details Function to set allocator for a previously created RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
  * \param [in] allocator A callback function rpp will use for internal memory allocations. The provided callback function should allocate device memory with requested size and return a pointer to this memory. Passing 0 will restore the default RPP allocator and deallocator.
  * \param [in] deallocator A callback function rpp will use to for internal memory deallocation. The provided callback function should free the specified memory pointer.
  * \param [in] allocatorContext User-specified pointer which is passed to allocator and deallocator. This allows the callback function to access state set by the caller to this function, for example a stateful heap allocator or a c++ class.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppSetAllocator(rppHandle_t handle, rppAllocatorFunction allocator, rppDeallocatorFunction deallocator, void* allocatorContext);
 
-/*! \brief Get Time taken by previous Kernel
+/*! \brief Get time taken by previous kernel.
  * \details Function to get time for last kernel launched. This function is used only when profiling mode has been enabled.
- * \param [in] handle An rpp handle of type rppHandle_t
- * \param [in] time Pointer to a float type to contain kernel time in milliseconds
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] time Pointer to a float type to contain kernel time in milliseconds.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppGetKernelTime(rppHandle_t handle, float* time);
 
-/*! \brief Enable Profiling
- * \details Function to enable profiling to retrieve kernel time
- * \param [in] handle An rpp handle of type rppHandle_t
- * \param [in] enable Boolean to toggle profiling
+/*! \brief Enable Profiling.
+ * \details Function to enable profiling to retrieve kernel time.
+ * \param [in] handle RPP handle of type <tt> \ref rppHandle_t</tt>.
+ * \param [in] enable Boolean to toggle profiling.
  * \ingroup group_rpp
- * \return <tt> enum</tt>.
- * \returns a rppStatus_t enumeration.
+ * \return A <tt> \ref rppStatus_t</tt> enumeration.
+ * \retval rppStatusSuccess
+ * \retval rppStatusNotInitialized
+ * \retval rppStatusInvalidValue
+ * \retval rppStatusBadParm
+ * \retval rppStatusAllocFailed
+ * \retval rppStatusInternalError
+ * \retval rppStatusNotImplemented
+ * \retval rppStatusUnknownError
+ * \retval rppStatusUnsupportedOp
  */
 extern "C" SHARED_PUBLIC rppStatus_t rppEnableProfiling(rppHandle_t handle, bool enable);
 
diff --git a/include/rppcore.h b/include/rppcore.h
deleted file mode 100644
index ed4205013..000000000
--- a/include/rppcore.h
+++ /dev/null
@@ -1,42 +0,0 @@
-/*
-Copyright (c) 2019 - 2023 Advanced Micro Devices, Inc. All rights reserved.
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in
-all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-THE SOFTWARE.
-*/
-
-#ifndef RPPCORE_H
-#define RPPCORE_H
-
-/*!
- * \file
- * \brief ROCm Performance Primitives(RPP) - Core.
- *
- * \defgroup group_rpp_core RPP CORE
- * \brief ROCm Performance Primitives - Core.
- */
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-
-#ifdef __cplusplus
-}
-#endif
-#endif /* RPPCORE_H */
\ No newline at end of file
diff --git a/include/rppdefs.h b/include/rppdefs.h
index 9cca893bf..b29a87fef 100644
--- a/include/rppdefs.h
+++ b/include/rppdefs.h
@@ -22,16 +22,11 @@ THE SOFTWARE.
 
 #ifndef RPPDEFS_H
 #define RPPDEFS_H
-//#ifdef __cplusplus
-//extern "C" {
-//#endif
 
-/*!
- * \file
- * \brief ROCm Performance Primitive(RPP) - Definitions.
- *
- * \defgroup group_rppdefs RPP Handle API
- * \brief ROCm Performance Primitives - Definitions.
+/*! \file
+ * \brief RPP common HOST/GPU typedef, enum and structure definitions.
+ * \defgroup group_rppdefs RPP common definitions
+ * \brief RPP definitions for all common HOST/GPU typedefs, enums and structures.
  */
 
 #include <stddef.h>
@@ -40,10 +35,10 @@ THE SOFTWARE.
 #include <CL/cl.h>
 #endif
 
+/*! \brief 8 bit unsigned char minimum \ingroup group_rppdefs \page subpage_rpp asdfsf*/
 #define RPP_MIN_8U      ( 0 )
+/*! \brief 8 bit unsigned char maximum \ingroup group_rppdefs \page subpage_rppi asdfsfasdfds */
 #define RPP_MAX_8U      ( 255 )
-#define RPP_MIN_16U     ( 0 )
-#define RPP_MAX_16U     ( 65535 )
 
 const float ONE_OVER_6 = 1.0f / 6;
 const float ONE_OVER_3 = 1.0f / 3;
@@ -51,39 +46,72 @@ const float ONE_OVER_255 = 1.0f / 255;
 
 /******************** RPP typedefs ********************/
 
+/*! \brief 8 bit unsigned char \ingroup group_rppdefs */
 typedef unsigned char       Rpp8u;
+/*! \brief 8 bit signed char \ingroup group_rppdefs */
 typedef signed char         Rpp8s;
+/*! \brief 16 bit unsigned short \ingroup group_rppdefs */
 typedef unsigned short      Rpp16u;
+/*! \brief 16 bit signed short \ingroup group_rppdefs */
 typedef short               Rpp16s;
+/*! \brief 32 bit unsigned int \ingroup group_rppdefs */
 typedef unsigned int        Rpp32u;
+/*! \brief 32 bit signed int \ingroup group_rppdefs */
 typedef int                 Rpp32s;
+/*! \brief 64 bit unsigned long long \ingroup group_rppdefs */
 typedef unsigned long long  Rpp64u;
+/*! \brief 64 bit long long \ingroup group_rppdefs */
 typedef long long           Rpp64s;
+/*! \brief 32 bit float \ingroup group_rppdefs */
 typedef float               Rpp32f;
+/*! \brief 64 bit double \ingroup group_rppdefs */
 typedef double              Rpp64f;
+/*! \brief void pointer \ingroup group_rppdefs */
 typedef void*               RppPtr_t;
+/*! \brief size_t \ingroup group_rppdefs */
 typedef size_t              RppSize_t;
 
-/*! \brief RPP Status type enums
+/*! \brief RPP RppStatus type enums
  * \ingroup group_rppdefs
  */
 typedef enum
 {
+    /*! \brief No error. \ingroup group_rppdefs */
     RPP_SUCCESS                         = 0,
+    /*! \brief Unspecified error. \ingroup group_rppdefs */
     RPP_ERROR                           = -1,
+    /*! \brief One or more arguments invalid. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_INVALID_ARGUMENTS         = -2,
+    /*! \brief Low tensor offsetInBytes provided for src/dst tensor. \ingroup group_rppdefs */
     RPP_ERROR_LOW_OFFSET                = -3,
+    /*! \brief Arguments provided will result in zero division error. \ingroup group_rppdefs */
     RPP_ERROR_ZERO_DIVISION             = -4,
+    /*! \brief Src tensor / src ROI dimension too high. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_HIGH_SRC_DIMENSION        = -5,
+    /*! \brief Function variant requested is not implemented / unsupported. \ingroup group_rppdefs */
     RPP_ERROR_NOT_IMPLEMENTED           = -6,
+    /*! \brief Invalid src tensor number of channels. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_INVALID_SRC_CHANNELS      = -7,
+    /*! \brief Invalid dst tensor number of channels. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_INVALID_DST_CHANNELS      = -8,
+    /*! \brief Invalid src tensor layout. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_INVALID_SRC_LAYOUT        = -9,
+    /*! \brief Invalid dst tensor layout. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_INVALID_DST_LAYOUT        = -10,
+    /*! \brief Invalid src tensor datatype. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_INVALID_SRC_DATATYPE     = -11,
+    /*! \brief Invalid dst tensor datatype. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_INVALID_DST_DATATYPE     = -12,
+    /*! \brief Invalid src/dst tensor datatype. (Needs to adhere to function specification.) \ingroup group_rppdefs */
     RPP_ERROR_INVALID_SRC_OR_DST_DATATYPE      = -13,
-    RPP_ERROR_INSUFFICIENT_DST_BUFFER_LENGTH    = -14
+    /*! \brief Insufficient dst buffer length provided. (Needs to adhere to function specification.) \ingroup group_rppdefs */
+    RPP_ERROR_INSUFFICIENT_DST_BUFFER_LENGTH    = -14,
+    /*! \brief Invalid datatype \ingroup group_rppdefs */
+    RPP_ERROR_INVALID_DATATYPE          = -15,
+    /*! \brief Not enough memory \ingroup group_rppdefs */
+    RPP_ERROR_NOT_ENOUGH_MEMORY         = -16,
+    /*! \brief Out of bound source ROI \ingroup group_rppdefs */
+    RPP_ERROR_OUT_OF_BOUND_SRC_ROI      = -17
 } RppStatus;
 
 /*! \brief RPP rppStatus_t type enums
@@ -102,16 +130,6 @@ typedef enum
     rppStatusUnsupportedOp  = -8,
 } rppStatus_t;
 
-/*! \brief RPP Axis type enum
- * \ingroup group_rppdefs
- */
-typedef enum
-{
-    RPPI_HORIZONTAL_AXIS,
-    RPPI_VERTICAL_AXIS,
-    RPPI_BOTH_AXIS
-} RppiAxis;
-
 /*! \brief RPP Operations type enum
  * \ingroup group_rppdefs
  */
@@ -145,7 +163,7 @@ typedef enum
     S8_U8,
 } RppConvertBitDepthMode;
 
-/*! \brief RPP Point Polar
+/*! \brief RPP polar point
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -154,7 +172,7 @@ typedef struct
     Rpp32f theta;
 } RppPointPolar;
 
-/*! \brief RPP Layout Params
+/*! \brief RPP layout params
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -163,7 +181,7 @@ typedef struct
     Rpp32u bufferMultiplier;
 } RppLayoutParams;
 
-/*! \brief Rpp32f6
+/*! \brief RPP 6 float vector
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -171,7 +189,7 @@ typedef struct
     Rpp32f data[6];
 } Rpp32f6;
 
-/*! \brief Rpp32s24
+/*! \brief RPP 24 signed int vector
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -179,7 +197,7 @@ typedef struct
     Rpp32s data[24];
 } Rpp32s24;
 
-/*! \brief Rpp32f24
+/*! \brief RPP 24 float vector
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -188,7 +206,8 @@ typedef struct
 } Rpp32f24;
 
 /******************** RPPI typedefs ********************/
-/*! \brief RPPI Color Convert Mode type enum
+
+/*! \brief RPPI Image color convert mode type enum
  * \ingroup group_rppdefs
  */
 typedef enum
@@ -197,7 +216,7 @@ typedef enum
     HSV_RGB
 } RppiColorConvertMode;
 
-/*! \brief RPPI FuzzyLevel type enum
+/*! \brief RPPI Image fuzzy level type enum
  * \ingroup group_rppdefs
  */
 typedef enum
@@ -207,7 +226,7 @@ typedef enum
     RPPI_HIGH
 } RppiFuzzyLevel;
 
-/*! \brief RPPI Channel Format type enum
+/*! \brief RPPI Image channel format type enum
  * \ingroup group_rppdefs
  */
 typedef enum
@@ -216,7 +235,48 @@ typedef enum
     RPPI_CHN_PACKED
 } RppiChnFormat;
 
-/*! \brief RPPI Size(Dimensions)
+/*! \brief RPP Image axis type enum
+ * \ingroup group_rppdefs
+ */
+typedef enum
+{
+    RPPI_HORIZONTAL_AXIS,
+    RPPI_VERTICAL_AXIS,
+    RPPI_BOTH_AXIS
+} RppiAxis;
+
+/*! \brief RPPI Image blur type enum
+ * \ingroup group_rppdefs
+ */
+typedef enum
+{
+    GAUSS3,
+    GAUSS5,
+    GAUSS3x1,
+    GAUSS1x3,
+    AVG3 = 10,
+    AVG5
+} RppiBlur;
+
+/*! \brief RPPI Image pad type enum
+ * \ingroup group_rppdefs
+ */
+typedef enum
+{
+    ZEROPAD,
+    NOPAD
+} RppiPad;
+
+/*! \brief RPPI Image format type enum
+ * \ingroup group_rppdefs
+ */
+typedef enum
+{
+    RGB,
+    HSV
+} RppiFormat;
+
+/*! \brief RPPI Image size(Width/Height dimensions) type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -225,7 +285,7 @@ typedef struct
     unsigned int height;
 } RppiSize;
 
-/*! \brief RPPI Point
+/*! \brief RPPI Image 2D cartesian point type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -234,7 +294,7 @@ typedef struct
     int y;
 } RppiPoint;
 
-/*! \brief RPPI Rect
+/*! \brief RPPI Image 2D Rectangle (XYWH format) type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -245,7 +305,7 @@ typedef struct
     int height;
 } RppiRect;
 
-/*! \brief RPPI ROI
+/*! \brief RPPI Image 2D ROI (XYWH format) type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -256,40 +316,9 @@ typedef struct
     unsigned int roiHeight;
 } RppiROI;
 
-/*! \brief RPPI Blur type enum
- * \ingroup group_rppdefs
- */
-typedef enum
-{
-    GAUSS3,
-    GAUSS5,
-    GAUSS3x1,
-    GAUSS1x3,
-    AVG3 = 10,
-    AVG5
-} RppiBlur;
-
-/*! \brief RPPI Pad type enum
- * \ingroup group_rppdefs
- */
-typedef enum
-{
-    ZEROPAD,
-    NOPAD
-} RppiPad;
-
-/*! \brief RPPI Format type enum
- * \ingroup group_rppdefs
- */
-typedef enum
-{
-    RGB,
-    HSV
-} RppiFormat;
-
 /******************** RPPT typedefs ********************/
 
-/*! \brief RPPT Datatype enum
+/*! \brief RPPT Tensor datatype enum
  * \ingroup group_rppdefs
  */
 typedef enum
@@ -300,7 +329,7 @@ typedef enum
     I8
 } RpptDataType;
 
-/*! \brief RPPT Layout type enum
+/*! \brief RPPT Tensor layout type enum
  * \ingroup group_rppdefs
  */
 typedef enum
@@ -309,7 +338,7 @@ typedef enum
     NHWC
 } RpptLayout;
 
-/*! \brief RPPT ROI type enum
+/*! \brief RPPT Tensor 2D ROI type enum
  * \ingroup group_rppdefs
  */
 typedef enum
@@ -318,7 +347,7 @@ typedef enum
     XYWH
 } RpptRoiType;
 
-/*! \brief RPPT Subpixel Layout type enum
+/*! \brief RPPT Tensor subpixel layout type enum
  * \ingroup group_rppdefs
  */
 typedef enum
@@ -327,7 +356,7 @@ typedef enum
     BGRtype
 } RpptSubpixelLayout;
 
-/*! \brief RPPT Interpolation type enum
+/*! \brief RPPT Tensor interpolation type enum
  * \ingroup group_rppdefs
  */
 typedef enum
@@ -340,7 +369,7 @@ typedef enum
     TRIANGULAR
 } RpptInterpolationType;
 
-/*! \brief RPPT ROI LTRB
+/*! \brief RPPT Tensor 2D ROI LTRB struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -349,7 +378,7 @@ typedef struct
 
 } RpptRoiLtrb;
 
-/*! \brief RPPT ROI XYWH
+/*! \brief RPPT Tensor 2D ROI XYWH struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -359,7 +388,7 @@ typedef struct
 
 } RpptRoiXywh;
 
-/*! \brief RPPT ROI
+/*! \brief RPPT Tensor 2D ROI union
  * \ingroup group_rppdefs
  */
 typedef union
@@ -369,7 +398,7 @@ typedef union
 
 } RpptROI, *RpptROIPtr;
 
-/*! \brief RPPT Strides
+/*! \brief RPPT Tensor strides type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -380,7 +409,7 @@ typedef struct
     Rpp32u wStride;
 } RpptStrides;
 
-/*! \brief RPPT Descriptors
+/*! \brief RPPT Tensor descriptor type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -393,7 +422,7 @@ typedef struct
     RpptStrides strides;
 } RpptDesc, *RpptDescPtr;
 
-/*! \brief RPPT RGB
+/*! \brief RPPT Tensor 8-bit uchar RGB type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -403,7 +432,7 @@ typedef struct
     Rpp8u B;
 } RpptRGB;
 
-/*! \brief RPPT Float RGB
+/*! \brief RPPT Tensor 32-bit float RGB type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -413,7 +442,7 @@ typedef struct
     Rpp32f B;
 } RpptFloatRGB;
 
-/*! \brief RPPT Uint Vector 2D
+/*! \brief RPPT Tensor 2D 32-bit uint vector type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -422,7 +451,7 @@ typedef struct
     Rpp32u y;
 } RpptUintVector2D;
 
-/*! \brief RPPT Float Vector 2D
+/*! \brief RPPT Tensor 2D 32-bit float vector type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -431,7 +460,7 @@ typedef struct
     Rpp32f y;
 } RpptFloatVector2D;
 
-/*! \brief RPPT ImagePatch
+/*! \brief RPPT Tensor 2D image patch dimensions type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -440,7 +469,7 @@ typedef struct
     Rpp32u height;
 } RpptImagePatch, *RpptImagePatchPtr;
 
-/*! \brief RPPT Random Number Generator(Xorwow)
+/*! \brief RPPT Tensor random number generator state (xorwow state) type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -448,7 +477,7 @@ typedef struct
     Rpp32u counter;
 } RpptXorwowState;
 
-/*! \brief RPPT Random Number Generator(XorwowStateBoxMuller)
+/*! \brief RPPT Tensor random number generator state (xorwow box muller state) type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -458,7 +487,7 @@ typedef struct
     float boxMullerExtra;
 } RpptXorwowStateBoxMuller;
 
-/*! \brief RPPT Bilinear Neighbour Location Vector of length 8
+/*! \brief RPPT Tensor 2D bilinear neighborhood 32-bit signed int 8-length-vectors type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -469,7 +498,7 @@ typedef struct
     Rpp32s24 srcLocsBR;
 } RpptBilinearNbhoodLocsVecLen8;
 
-/*! \brief RPPT Bilinear Neighbour Values Vector of length 8
+/*! \brief RPPT Tensor 2D bilinear neighborhood 32-bit float 8-length-vectors type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -480,15 +509,15 @@ typedef struct
     Rpp32f24 srcValsBR;
 } RpptBilinearNbhoodValsVecLen8;
 
-/*! \brief RPPT Filter
+/*! \brief RPPT Tensor GenericFilter type struct
  * \ingroup group_rppdefs
  */
-typedef struct Filter
+typedef struct GenericFilter
 {
     Rpp32f scale = 1.0f;
     Rpp32f radius = 1.0f;
     Rpp32s size;
-    Filter(RpptInterpolationType interpolationType, Rpp32s in_size, Rpp32s out_size, Rpp32f scaleRatio)
+    GenericFilter(RpptInterpolationType interpolationType, Rpp32s in_size, Rpp32s out_size, Rpp32f scaleRatio)
     {
         switch(interpolationType)
         {
@@ -535,27 +564,27 @@ typedef struct Filter
         }
         this->size = std::ceil(2 * this->radius);
     }
-}Filter;
+}GenericFilter;
 
 /******************** HOST memory typedefs ********************/
 
-/*! \brief RPP Float64 Memory
+/*! \brief RPP HOST 32-bit float memory
  * \ingroup group_rppdefs
  */
 typedef struct
 {
-    Rpp64f *doublemem;
-} memRpp64f;
+    Rpp32f *floatmem;
+} memRpp32f;
 
-/*! \brief RPP Float32 Memory
+/*! \brief RPP HOST 64-bit double memory
  * \ingroup group_rppdefs
  */
 typedef struct
 {
-    Rpp32f *floatmem;
-} memRpp32f;
+    Rpp64f *doublemem;
+} memRpp64f;
 
-/*! \brief RPP Uint32 Memory
+/*! \brief RPP HOST 32-bit unsigned int memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -563,7 +592,7 @@ typedef struct
     Rpp32u *uintmem;
 } memRpp32u;
 
-/*! \brief RPP Int32 Memory
+/*! \brief RPP HOST 32-bit signed int memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -571,7 +600,7 @@ typedef struct
     Rpp32s *intmem;
 } memRpp32s;
 
-/*! \brief RPP Uint8 Memory
+/*! \brief RPP HOST 8-bit unsigned char memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -579,7 +608,7 @@ typedef struct
     Rpp8u *ucharmem;
 } memRpp8u;
 
-/*! \brief RPP Int8 Memory
+/*! \brief RPP HOST 8-bit signed char memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -587,7 +616,7 @@ typedef struct
     Rpp8s *charmem;
 } memRpp8s;
 
-/*! \brief RPP RGB Memory
+/*! \brief RPP HOST RGB memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -595,7 +624,7 @@ typedef struct
     RpptRGB* rgbmem;
 } memRpptRGB;
 
-/*! \brief Dimensions Memory
+/*! \brief RPP HOST 2D dimensions memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -604,7 +633,7 @@ typedef struct
     Rpp32u *width;
 } memSize;
 
-/*! \brief ROI Memory
+/*! \brief RPP HOST 2D ROI memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -615,7 +644,7 @@ typedef struct
     Rpp32u *roiWidth;
 } memROI;
 
-/*! \brief CPU Memory
+/*! \brief RPP HOST memory type struct
  * \ingroup group_rppdefs
  */
 typedef struct {
@@ -642,7 +671,7 @@ typedef struct {
 
 /******************** OCL memory typedefs ********************/
 
-/*! \brief CL Float32 Memory
+/*! \brief RPP OCL 32-bit float memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -650,7 +679,7 @@ typedef struct
     cl_mem floatmem;
 } clmemRpp32f;
 
-/*! \brief CL Float64 Memory
+/*! \brief RPP OCL 64-bit double memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -658,7 +687,7 @@ typedef struct
     cl_mem doublemem;
 } clmemRpp64f;
 
-/*! \brief CL Uint32 Memory
+/*! \brief RPP OCL 32-bit unsigned int memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -666,7 +695,7 @@ typedef struct
     cl_mem uintmem;
 } clmemRpp32u;
 
-/*! \brief CL Int32 Memory
+/*! \brief RPP OCL 32-bit signed int memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -674,7 +703,7 @@ typedef struct
     cl_mem intmem;
 } clmemRpp32s;
 
-/*! \brief CL Uint8 Memory
+/*! \brief RPP OCL 8-bit unsigned char memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -682,7 +711,7 @@ typedef struct
     cl_mem ucharmem;
 } clmemRpp8u;
 
-/*! \brief CL Int8 Memory
+/*! \brief RPP OCL 8-bit signed char memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -690,7 +719,7 @@ typedef struct
     cl_mem charmem;
 } clmemRpp8s;
 
-/*! \brief CL Size(Dimensions)Memory
+/*! \brief RPP OCL 2D dimensions memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -699,7 +728,7 @@ typedef struct
     cl_mem width;
 } clmemSize;
 
-/*! \brief CL ROI Memory
+/*! \brief RPP OCL 2D ROI memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -710,7 +739,7 @@ typedef struct
     cl_mem roiWidth;
 } clmemROI;
 
-/*! \brief CL GPU Memory
+/*! \brief RPP OCL memory management type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -737,7 +766,7 @@ typedef struct
     cl_mem dstInc;
 } memGPU;
 
-/*! \brief CL Management Memory
+/*! \brief RPP OCL-HOST memory management
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -749,7 +778,8 @@ typedef struct
 #elif defined(HIP_COMPILE)
 
 /******************** HIP memory typedefs ********************/
-/*! \brief HIP Float32 Memory
+
+/*! \brief RPP HIP 32-bit float memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -757,7 +787,7 @@ typedef struct
     Rpp32f* floatmem;
 } hipMemRpp32f;
 
-/*! \brief HIP Float64 Memory
+/*! \brief RPP HIP 64-bit double memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -765,7 +795,7 @@ typedef struct
     Rpp64f* doublemem;
 } hipMemRpp64f;
 
-/*! \brief HIP Uint32 Memory
+/*! \brief RPP HIP 32-bit unsigned int memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -773,7 +803,7 @@ typedef struct
     Rpp32u* uintmem;
 } hipMemRpp32u;
 
-/*! \brief HIP Int32 Memory
+/*! \brief RPP HIP 32-bit signed int memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -781,7 +811,7 @@ typedef struct
     Rpp32s* intmem;
 } hipMemRpp32s;
 
-/*! \brief HIP Uint8 Memory
+/*! \brief RPP HIP 8-bit unsigned char memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -789,7 +819,7 @@ typedef struct
     Rpp8u* ucharmem;
 } hipMemRpp8u;
 
-/*! \brief HIP Int8 Memory
+/*! \brief RPP HIP 8-bit signed char memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -797,7 +827,7 @@ typedef struct
     Rpp8s* charmem;
 } hipMemRpp8s;
 
-/*! \brief HIP RGB Memory
+/*! \brief RPP HIP RGB memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -805,7 +835,7 @@ typedef struct
     RpptRGB* rgbmem;
 } hipMemRpptRGB;
 
-/*! \brief HIP Size(Dimensions) Memory
+/*! \brief RPP HIP 2D dimensions memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -814,7 +844,7 @@ typedef struct
     Rpp32u* width;
 } hipMemSize;
 
-/*! \brief HIP ROI Memory
+/*! \brief RPP HIP 2D ROI memory
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -825,7 +855,7 @@ typedef struct
     Rpp32u* roiWidth;
 } hipMemROI;
 
-/*! \brief HIP GPU Memory
+/*! \brief RPP OCL memory management type struct
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -855,7 +885,7 @@ typedef struct
     Rpp32u* dstInc;
 } memGPU;
 
-/*! \brief Management Memory
+/*! \brief RPP HIP-HOST memory management
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -866,7 +896,7 @@ typedef struct
 
 #else
 
-/*! \brief Management Memory
+/*! \brief RPP HOST memory management
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -876,7 +906,7 @@ typedef struct
 
 #endif //BACKEND
 
-/*! \brief Initialize Handle
+/*! \brief RPP initialize handle
  * \ingroup group_rppdefs
  */
 typedef struct
@@ -886,7 +916,4 @@ typedef struct
     memMgmt mem;
 } InitHandle;
 
-//#ifdef __cplusplus
-//}
-//#endif
 #endif /* RPPDEFS_H */
diff --git a/include/rppi.h b/include/rppi.h
index 820e69443..b24f792e7 100644
--- a/include/rppi.h
+++ b/include/rppi.h
@@ -25,10 +25,10 @@ THE SOFTWARE.
 
 /*!
  * \file
- * \brief ROCm Performance Primitives(RPP) - Image Operations.
- *
- * \defgroup group_rpp_images RPP Image Operations
- * \brief ROCm Performance Primitives - Image Operations.
+ * \brief RPP Image Operations - To be deprecated
+ * \defgroup group_rppi RPP Image Operations
+ * \brief The header includes all files containing RPP Image Operations - To be deprecated
+ * \deprecated
  */
 
 #include "rpp.h"
diff --git a/include/rppi_advanced_augmentations.h b/include/rppi_advanced_augmentations.h
index d56ef61ae..e20fc03df 100644
--- a/include/rppi_advanced_augmentations.h
+++ b/include/rppi_advanced_augmentations.h
@@ -30,6 +30,18 @@ extern "C"
 {
 #endif // cpusplus
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Advanced Augmentations - To be deprecated.
+ * \defgroup group_rppi_advanced_augmentations RPPI Image Operations - Advanced Augmentations
+ * \brief RPPI Image Operations - Advanced Augmentations - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_advanced_augmentations
+ * @{
+ */
+
 /******************** water ********************/
 
 // Performs a water augmentation for a batch of images
@@ -328,6 +340,9 @@ RppStatus rppi_glitch_f32_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, R
 RppStatus rppi_glitch_i8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *x_offset_r, Rpp32u *y_offset_r, Rpp32u *x_offset_g, Rpp32u *y_offset_g, Rpp32u *x_offset_b, Rpp32u *y_offset_b, Rpp32u outputFormatToggle, Rpp32u nbatchSize, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_arithmetic_operations.h b/include/rppi_arithmetic_operations.h
index be80bdc3f..70766f322 100644
--- a/include/rppi_arithmetic_operations.h
+++ b/include/rppi_arithmetic_operations.h
@@ -29,6 +29,18 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Arithmetic Operations - To be deprecated.
+ * \defgroup group_rppi_arithmetic_operations RPPI Image Operations - Arithmetic Operations
+ * \brief RPPI Image Operations - Arithmetic Operations - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_arithmetic_operations
+ * @{
+ */
+
 /******************** add ********************/
 
 // Adds corresponding pixels of two batches of images
@@ -299,6 +311,9 @@ RppStatus rppi_tensor_multiply_u8_host(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RppPt
 RppStatus rppi_tensor_multiply_u8_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RppPtr_t dstPtr, Rpp32u tensorDimension, RppPtr_t tensorDimensionValues, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_color_model_conversions.h b/include/rppi_color_model_conversions.h
index 703043885..e0f9095ff 100644
--- a/include/rppi_color_model_conversions.h
+++ b/include/rppi_color_model_conversions.h
@@ -29,6 +29,18 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Color Model Conversions - To be deprecated.
+ * \defgroup group_rppi_color_model_conversions RPPI Image Operations - Color Model Conversions
+ * \brief RPPI Image Operations - Color Model Conversions - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_color_model_conversions
+ * @{
+ */
+
 /******************** hue ********************/
 
 // Adjusts hue of a batch of images
@@ -233,6 +245,9 @@ RppStatus rppi_look_up_table_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcS
 
 RppStatus rppi_tensor_look_up_table_u8_host(RppPtr_t srcPtr, RppPtr_t dstPtr, RppPtr_t lutPtr, Rpp32u tensorDimension, RppPtr_t tensorDimensionValues);
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_computer_vision.h b/include/rppi_computer_vision.h
index 4715233e3..8e1468fca 100644
--- a/include/rppi_computer_vision.h
+++ b/include/rppi_computer_vision.h
@@ -29,6 +29,18 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Computer Vision - To be deprecated.
+ * \defgroup group_rppi_computer_vision RPPI Image Operations - Computer Vision
+ * \brief RPPI Image Operations - Computer Vision - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_computer_vision
+ * @{
+ */
+
 /******************** local_binary_pattern ********************/
 
 // Performs the 8 neighbor Local Binary Pattern (LBP), where the LBP for each pixel is defined by comparing the pixel value against its 8 neighbors, for a batch of images
@@ -391,6 +403,9 @@ RppStatus rppi_convert_bit_depth_u8u16_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSiz
 RppStatus rppi_convert_bit_depth_u8s16_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_filter_operations.h b/include/rppi_filter_operations.h
index e07170155..c713c3c6a 100644
--- a/include/rppi_filter_operations.h
+++ b/include/rppi_filter_operations.h
@@ -29,6 +29,18 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Filter Operations - To be deprecated.
+ * \defgroup group_rppi_filter_operations RPPI Image Operations - Filter Operations
+ * \brief RPPI Image Operations - Filter Operations - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_filter_operations
+ * @{
+ */
+
 /******************** box_filter ********************/
 
 // Applies the box filter over every pixel using a [kernelSize X kernelSize] square mask for a batch of images
@@ -199,6 +211,9 @@ RppStatus rppi_nonlinear_filter_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *s
 RppStatus rppi_nonlinear_filter_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_fused_functions.h b/include/rppi_fused_functions.h
index 02881edec..8ec689e1a 100644
--- a/include/rppi_fused_functions.h
+++ b/include/rppi_fused_functions.h
@@ -30,6 +30,18 @@ extern "C"
 {
 #endif // cpusplus
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Fused Functions - To be deprecated.
+ * \defgroup group_rppi_fused_functions RPPI Image Operations - Fused Functions
+ * \brief RPPI Image Operations - Fused Functions - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_fused_functions
+ * @{
+ */
+
 /******************** color_twist ********************/
 
 // Performs a fused color twist augmentation for a batch of images
@@ -272,6 +284,9 @@ RppStatus rppi_resize_mirror_normalize_u8_pln1_batchPD_host(RppPtr_t srcPtr, Rpp
 RppStatus rppi_resize_mirror_normalize_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, RppiSize *dstSize, RppiSize maxDstSize, Rpp32f *batch_mean, Rpp32f *batch_stdDev, Rpp32u *mirrorFlag,Rpp32u outputFormatToggle, Rpp32u nbatchSize, rppHandle_t rppHandle);
 RppStatus rppi_resize_mirror_normalize_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, RppiSize *dstSize, RppiSize maxDstSize, Rpp32f *batch_mean, Rpp32f *batch_stdDev, Rpp32u *mirrorFlag, Rpp32u outputFormatToggle, Rpp32u nbatchSize, rppHandle_t rppHandle);
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_geometry_transforms.h b/include/rppi_geometry_transforms.h
index e19ae2683..15665f10a 100644
--- a/include/rppi_geometry_transforms.h
+++ b/include/rppi_geometry_transforms.h
@@ -30,6 +30,18 @@ extern "C"
 {
 #endif // cpusplus
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Geometry Transforms - To be deprecated.
+ * \defgroup group_rppi_geometry_transforms RPPI Image Operations - Geometry Transforms
+ * \brief RPPI Image Operations - Geometry Transforms - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_geometry_transforms
+ * @{
+ */
+
 /******************** flip ********************/
 
 // Performs a flip transformation for a batch of images
@@ -354,6 +366,9 @@ RppStatus rppi_warp_perspective_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *s
 RppStatus rppi_warp_perspective_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, RppiSize *dstSize, RppiSize maxDstSize, Rpp32f *perspectiveMatrix, Rpp32u nbatchSize, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_image_augmentations.h b/include/rppi_image_augmentations.h
index d0537cc34..dd7a260f4 100644
--- a/include/rppi_image_augmentations.h
+++ b/include/rppi_image_augmentations.h
@@ -29,6 +29,18 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Image Augmentations - To be deprecated.
+ * \defgroup group_rppi_image_augmentations RPPI Image Operations - Image Augmentations
+ * \brief RPPI Image Operations - Image Augmentations - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_image_augmentations
+ * @{
+ */
+
 /******************** brightness ********************/
 
 // Adjusts brightness for a batch of images
@@ -404,6 +416,9 @@ RppStatus rppi_histogram_balance_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *
 RppStatus rppi_histogram_balance_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_logical_operations.h b/include/rppi_logical_operations.h
index 8b58eec94..be8990c76 100644
--- a/include/rppi_logical_operations.h
+++ b/include/rppi_logical_operations.h
@@ -29,6 +29,18 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Logical Operations - To be deprecated.
+ * \defgroup group_rppi_logical_operations RPPI Image Operations - Logical Operations
+ * \brief RPPI Image Operations - Logical Operations - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_logical_operations
+ * @{
+ */
+
 /******************** bitwise_AND ********************/
 
 // Performs an element-wise bitwise AND between corresponding pixels of two batches of images
@@ -124,6 +136,9 @@ RppStatus rppi_inclusive_OR_u8_pln3_batchPD_gpu(RppPtr_t srcPtr1, RppPtr_t srcPt
 RppStatus rppi_inclusive_OR_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_morphological_transforms.h b/include/rppi_morphological_transforms.h
index c26f8a170..fbd81e877 100644
--- a/include/rppi_morphological_transforms.h
+++ b/include/rppi_morphological_transforms.h
@@ -29,6 +29,18 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Morphological Transforms - To be deprecated.
+ * \defgroup group_rppi_morphological_transforms RPPI Image Operations - Morphological Transforms
+ * \brief RPPI Image Operations - Morphological Transforms - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_morphological_transforms
+ * @{
+ */
+
 /******************** erode ********************/
 
 // Performs an erode operation, where the output pixel is computed as the minimum value of the pixels under a [kernelSize X kernelSize] square mask, for a batch of images
@@ -77,6 +89,9 @@ RppStatus rppi_dilate_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, Rp
 RppStatus rppi_dilate_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppi_statistical_operations.h b/include/rppi_statistical_operations.h
index eb253d676..d84dea980 100644
--- a/include/rppi_statistical_operations.h
+++ b/include/rppi_statistical_operations.h
@@ -29,6 +29,18 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
+/*!
+ * \file
+ * \brief RPPI Image Operations - Statistical Operations - To be deprecated.
+ * \defgroup group_rppi_statistical_operations RPPI Image Operations - Statistical Operations
+ * \brief RPPI Image Operations - Statistical Operations - To be deprecated.
+ * \deprecated
+ */
+
+/*! \addtogroup group_rppi_statistical_operations
+ * @{
+ */
+
 /******************** thresholding ********************/
 
 // Thresholds the input element-wise, and produces boolean outputs for a batch of images
@@ -211,6 +223,9 @@ RppStatus rppi_histogram_u8_pln1_host(RppPtr_t srcPtr, RppiSize srcSize, Rpp32u*
 RppStatus rppi_histogram_u8_pln3_host(RppPtr_t srcPtr, RppiSize srcSize, Rpp32u* outputHistogram, Rpp32u bins, rppHandle_t rppHandle);
 RppStatus rppi_histogram_u8_pkd3_host(RppPtr_t srcPtr, RppiSize srcSize, Rpp32u* outputHistogram, Rpp32u bins, rppHandle_t rppHandle);
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppt.h b/include/rppt.h
index a409f79c7..25e92b819 100644
--- a/include/rppt.h
+++ b/include/rppt.h
@@ -25,10 +25,9 @@ THE SOFTWARE.
 
 /*!
  * \file
- * \brief ROCm Performance Primitives(RPP) - Tensor Operations.
- *
- * \defgroup group_rpp_tensor RPP Tensor Operations
- * \brief ROCm Performance Primitives - Tensor Operations.
+ * \brief RPP Tensor Operations
+ * \defgroup group_rppt RPP Tensor Operations
+ * \brief The header includes all files containing RPP Tensor Operations
  */
 
 #include "rpp.h"
diff --git a/include/rppt_tensor_audio_augmentations.h b/include/rppt_tensor_audio_augmentations.h
index b250c5d72..9041f2b1f 100644
--- a/include/rppt_tensor_audio_augmentations.h
+++ b/include/rppt_tensor_audio_augmentations.h
@@ -1,13 +1,16 @@
 /*
 Copyright (c) 2019 - 2023 Advanced Micro Devices, Inc. All rights reserved.
+
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
 in the Software without restriction, including without limitation the rights
 to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 copies of the Software, and to permit persons to whom the Software is
 furnished to do so, subject to the following conditions:
+
 The above copyright notice and this permission notice shall be included in
 all copies or substantial portions of the Software.
+
 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
@@ -22,10 +25,13 @@ THE SOFTWARE.
 
 /*!
  * \file
- * \brief RPPT Tensor Audio Augmentation Functions.
- *
- * \defgroup group_tensor_audio Operations: AMD RPP Tensor Audio Operations
- * \brief Tensor Audio Augmentations.
+ * \brief RPPT Tensor Operations - Audio Augmentations.
+ * \defgroup group_rppt_tensor_audio_augmentations RPPT Tensor Operations - Audio Augmentations.
+ * \brief RPPT Tensor Operations - Audio Augmentations.
+ */
+
+/*! \addtogroup group_rppt_tensor_audio_augmentations
+ * @{
  */
 
 #include "rpp.h"
@@ -34,24 +40,23 @@ THE SOFTWARE.
 extern "C" {
 #endif
 
-/*! \brief Non Silent Region Detection augmentation HOST
+/*! \brief Non Silent Region Detection augmentation on HOST backend
  * \details Non Silent Region Detection augmentation for 1D audio buffer
             \n Finds the starting index and length of non silent region in the audio buffer by comparing the
             calculated short-term power with cutoff value passed
- * \param[in] srcPtr source tensor memory
- * \param[in] srcDescPtr source tensor descriptor
- * \param[in] srcLengthTensor source audio buffer length (tensor of batchSize values)
- * \param[out] detectedIndexTensor beginning index of non silent region (tensor of batchSize values)
- * \param[out] detectionLengthTensor length of non silent region  (tensor of batchSize values)
- * \param[in] cutOffDB cutOff(dB) below which the signal is considered silent
+ * \param[in] srcPtr source tensor in HOST memory
+ * \param[in] srcDescPtr source tensor descriptor (Restrictions - numDims = 3, offsetInBytes >= 0, dataType = F32)
+ * \param[in] srcLengthTensor source audio buffer length (1D tensor in HOST memory, of size batchSize)
+ * \param[out] detectedIndexTensor beginning index of non silent region (1D tensor in HOST memory, of size batchSize)
+ * \param[out] detectionLengthTensor length of non silent region  (1D tensor in HOST memory, of size batchSize)
+ * \param[in] cutOffDB cutOff in dB below which the signal is considered silent
  * \param[in] windowLength window length used for computing short-term power of the signal
  * \param[in] referencePower reference power that is used to convert the signal to dB
- * \param[in] resetInterval number of samples after which the moving mean average is recalculated to avoid loss of precision
- * \param[in] rppHandle HIP-handle for "_gpu" variants and Host-handle for "_host" variants
- * \return <tt> RppStatus enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref RppStatus</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_audio
+ * \param[in] resetInterval number of samples after which the moving mean average is recalculated to avoid precision loss
+ * \param[in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_non_silent_region_detection_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, Rpp32s *srcLengthTensor, Rpp32f *detectedIndexTensor, Rpp32f *detectionLengthTensor, Rpp32f cutOffDB, Rpp32s windowLength, Rpp32f referencePower, Rpp32s resetInterval, rppHandle_t rppHandle);
 
diff --git a/include/rppt_tensor_color_augmentations.h b/include/rppt_tensor_color_augmentations.h
index 4ac1346f7..5fcf0ea98 100644
--- a/include/rppt_tensor_color_augmentations.h
+++ b/include/rppt_tensor_color_augmentations.h
@@ -23,336 +23,401 @@ THE SOFTWARE.
 #ifndef RPPT_TENSOR_COLOR_AUGMENTATIONS_H
 #define RPPT_TENSOR_COLOR_AUGMENTATIONS_H
 
-/*!
- * \file
- * \brief RPPT Tensor Color Augmentation Functions.
- *
- * \defgroup group_tensor_color Operations: AMD RPP Tensor Color Operations
- * \brief Tensor Color Augmentations.
- */
-
 #include "rpp.h"
 #include "rppdefs.h"
 #ifdef __cplusplus
 extern "C" {
 #endif
 
-/*! \brief Brightness augmentation HOST
- * \details Brightness augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] alphaTensor alpha values for brightness calculation (1D tensor of size batchSize with 0 <= alpha <= 20 for each image in batch)
- * \param [in] betaTensor beta values for brightness calculation (1D tensor of size batchSize with 0 <= beta <= 255 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*!
+ * \file
+ * \brief RPPT Tensor Operations - Color Augmentations.
+ * \defgroup group_rppt_tensor_color_augmentations RPPT Tensor Operations - Color Augmentations.
+ * \brief RPPT Tensor Operations - Color Augmentations.
+ */
+
+/*! \addtogroup group_rppt_tensor_color_augmentations
+ * @{
+ */
+
+/*! \brief Brightness augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The brightness augmentation changes brightness of a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_brightness_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] alphaTensor alpha values for brightness calculation (1D tensor in HOST memory, of size batchSize, with 0 <= alpha <= 20 for each image in batch)
+ * \param [in] betaTensor beta values for brightness calculation (1D tensor in HOST memory, of size batchSize, with 0 <= beta <= 255 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_brightness_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *alphaTensor, Rpp32f *betaTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Brightness augmentation GPU
- * \details Brightness augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] alphaTensor alpha values for brightness calculation (1D tensor of size batchSize with 0 <= alpha <= 20 for each image in batch)
- * \param [in] betaTensor beta values for brightness calculation (1D tensor of size batchSize with 0 <= beta <= 255 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Brightness augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The brightness augmentation changes brightness of a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_brightness_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] alphaTensor alpha values for brightness calculation (1D tensor in pinned/HOST memory, of size batchSize, with 0 <= alpha <= 20 for each image in batch)
+ * \param [in] betaTensor beta values for brightness calculation (1D tensor in pinned/HOST memory, of size batchSize, with 0 <= beta <= 255 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_brightness_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *alphaTensor, Rpp32f *betaTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Gamma correction augmentation HOST
- * \details Gamma correction augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] gammaTensor gamma values for gamma correction calculation (1D tensor of size batchSize with gamma >= 0 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Gamma correction augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The gamma correction augmentation does a non-linear gamma correction of a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_gamma_correction_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] gammaTensor gamma values for gamma correction calculation (1D tensor in HOST memory, of size batchSize with gamma >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_gamma_correction_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *gammaTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
-#ifdef GPU_SUPPORT
 
-/*! \brief Gamma correction augmentation GPU
- * \details Gamma correction augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] gammaTensor gamma values for gamma correction calculation (1D tensor of size batchSize with gamma >= 0 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+#ifdef GPU_SUPPORT
+/*! \brief Gamma correction augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The gamma correction augmentation does a non-linear gamma correction of a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_gamma_correction_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] gammaTensor gamma values for gamma correction calculation (1D tensor in pinned/HOST memory, of size batchSize with gamma >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_gamma_correction_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *gammaTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Blend augmentation HOST
- * \details Alpha blending augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr1 source tensor memory
- * \param [in] srcPtr2 source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] alphaTensor alpha values for alpha-blending (1D tensor of size batchSize with the transparency factor transparency factor 0 <= alpha <= 1 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Blend augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The blend augmentation performs an alpha-blending operation for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input1
+ * \image html img150x150_2.jpg Sample Input2
+ * \image html color_augmentations_blend_img150x150.jpg Sample Output
+ * \param [in] srcPtr1 source1 tensor in HOST memory
+ * \param [in] srcPtr2 source2 tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] alphaTensor alpha values for alpha-blending (1D tensor in HOST memory, of size batchSize with the transparency factor transparency factor 0 <= alpha <= 1 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_blend_host(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *alpha, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Blend augmentation GPU
- * \details Alpha blending augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr1 source tensor memory
- * \param [in] srcPtr2 source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] alphaTensor alpha values for alpha-blending (1D tensor of size batchSize with the transparency factor transparency factor 0 <= alpha <= 1 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Blend augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The blend augmentation performs an alpha-blending operation for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input1
+ * \image html img150x150_2.jpg Sample Input2
+ * \image html color_augmentations_blend_img150x150.jpg Sample Output
+ * \param [in] srcPtr1 source1 tensor in HIP memory
+ * \param [in] srcPtr2 source2 tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] alphaTensor alpha values for alpha-blending (1D tensor in pinned/HOST memory, of size batchSize with the transparency factor transparency factor 0 <= alpha <= 1 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_blend_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *alpha, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Color Twist augmentation HOST
- * \details Color Twist augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] brightnessTensor brightness modification parameter for color_twist calculation (1D tensor of size batchSize with 0 < brightnessTensor[i] <= 20 for each image in batch)
- * \param [in] contrastTensor contrast modification parameter for color_twist calculation (1D tensor of size batchSize with 0 < contrastTensor[i] <= 255 for each image in batch)
- * \param [in] hueTensor hue modification parameter for color_twist calculation (1D tensor of size batchSize with 0 <= hueTensor[i] <= 359 for each image in batch)
- * \param [in] saturationTensor saturation modification parameter for color_twist calculation (1D tensor of size batchSize with saturationTensor[i] >= 0 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Color Twist augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The color twist augmentation does a fused modification of brightness, contrast, hue and saturation on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_color_twist_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] brightnessTensor brightness modification parameter for color_twist calculation (1D tensor in HOST memory, of size batchSize with 0 < brightnessTensor[i] <= 20 for each image in batch)
+ * \param [in] contrastTensor contrast modification parameter for color_twist calculation (1D tensor in HOST memory, of size batchSize with 0 < contrastTensor[i] <= 255 for each image in batch)
+ * \param [in] hueTensor hue modification parameter for color_twist calculation (1D tensor in HOST memory, of size batchSize with 0 <= hueTensor[i] <= 359 for each image in batch)
+ * \param [in] saturationTensor saturation modification parameter for color_twist calculation (1D tensor in HOST memory, of size batchSize with saturationTensor[i] >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_color_twist_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *brightnessTensor, Rpp32f *contrastTensor, Rpp32f *hueTensor, Rpp32f *saturationTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Color Twist augmentation GPU
- * \details Color Twist augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] brightnessTensor brightness modification parameter for color_twist calculation (1D tensor of size batchSize with 0 < brightnessTensor[i] <= 20 for each image in batch)
- * \param [in] contrastTensor contrast modification parameter for color_twist calculation (1D tensor of size batchSize with 0 < contrastTensor[i] <= 255 for each image in batch)
- * \param [in] hueTensor hue modification parameter for color_twist calculation (1D tensor of size batchSize with 0 <= hueTensor[i] <= 359 for each image in batch)
- * \param [in] saturationTensor saturation modification parameter for color_twist calculation (1D tensor of size batchSize with saturationTensor[i] >= 0 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Color Twist augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The color twist augmentation does a fused modification of brightness, contrast, hue and saturation on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_color_twist_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] brightnessTensor brightness modification parameter for color_twist calculation (1D tensor in pinned/HOST memory, of size batchSize with 0 < brightnessTensor[i] <= 20 for each image in batch)
+ * \param [in] contrastTensor contrast modification parameter for color_twist calculation (1D tensor in pinned/HOST memory, of size batchSize with 0 < contrastTensor[i] <= 255 for each image in batch)
+ * \param [in] hueTensor hue modification parameter for color_twist calculation (1D tensor in pinned/HOST memory, of size batchSize with 0 <= hueTensor[i] <= 359 for each image in batch)
+ * \param [in] saturationTensor saturation modification parameter for color_twist calculation (1D tensor in pinned/HOST memory, of size batchSize with saturationTensor[i] >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_color_twist_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *brightnessTensor, Rpp32f *contrastTensor, Rpp32f *hueTensor, Rpp32f *saturationTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Color Jitter augmentation HOST
- * \details Color Jitter augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] brightnessTensor brightness modification parameter for color_jitter calculation (1D tensor of size batchSize with 0 < brightnessTensor[i] <= 20 for each image in batch)
- * \param [in] contrastTensor contrast modification parameter for color_jitter calculation (1D tensor of size batchSize with 0 < contrastTensor[i] <= 255 for each image in batch)
- * \param [in] hueTensor hue modification parameter for color_jitter calculation (1D tensor of size batchSize with 0 <= hueTensor[i] <= 359 for each image in batch)
- * \param [in] saturationTensor saturation modification parameter for color_jitter calculation (1D tensor of size batchSize with saturationTensor[i] >= 0 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Color Jitter augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The color jitter augmentation does a fused modification of brightness, contrast, hue and saturation on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_color_jitter_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] brightnessTensor brightness modification parameter for color_jitter calculation (1D tensor in HOST memory, of size batchSize with 0 < brightnessTensor[i] <= 20 for each image in batch)
+ * \param [in] contrastTensor contrast modification parameter for color_jitter calculation (1D tensor in HOST memory, of size batchSize with 0 < contrastTensor[i] <= 255 for each image in batch)
+ * \param [in] hueTensor hue modification parameter for color_jitter calculation (1D tensor in HOST memory, of size batchSize with 0 <= hueTensor[i] <= 359 for each image in batch)
+ * \param [in] saturationTensor saturation modification parameter for color_jitter calculation (1D tensor in HOST memory, of size batchSize with saturationTensor[i] >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_color_jitter_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *brightnessTensor, Rpp32f *contrastTensor, Rpp32f *hueTensor, Rpp32f *saturationTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 
-/*! \brief Color cast augmentation HOST
- * \details Color cast augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] rgbTensor R/G/B values for color casting calculation (2D tensor of size sizeof(RpptRGB) * batchSize with 0 <= rgbTensor[n].<R/G/B> <= 255 for each image in batch)
- * \param [in] alphaTensor alpha values for color casting calculation (1D tensor of size sizeof(Rpp32f) * batchSize with alphaTensor[i] >= 0 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Color Cast augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The color cast augmentation does an alpha-blending operation between srcPtr and constant R/G/B values taken as input, on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_color_cast_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] rgbTensor R/G/B values for color casting calculation (2D tensor in HOST memory, of size sizeof(RpptRGB) * batchSize with 0 <= rgbTensor[n].<R/G/B> <= 255 for each image in batch)
+ * \param [in] alphaTensor alpha values for color casting calculation (1D tensor in HOST memory, of size sizeof(Rpp32f) * batchSize with alphaTensor[i] >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_color_cast_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptRGB *rgbTensor, Rpp32f *alphaTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Color cast augmentation GPU
- * \details Color cast augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] rgbTensor R/G/B values for color casting calculation (2D tensor of size sizeof(RpptRGB) * batchSize with 0 <= rgbTensor[n].<R/G/B> <= 255 for each image in batch)
- * \param [in] alphaTensor alpha values for color casting calculation (1D tensor of size sizeof(Rpp32f) * batchSize with alphaTensor[i] >= 0 for each image in batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Color Cast augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The color cast augmentation does an alpha-blending operation between srcPtr and constant R/G/B values taken as input, on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_color_cast_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] rgbTensor R/G/B values for color casting calculation (2D tensor in pinned/HOST memory, of size sizeof(RpptRGB) * batchSize with 0 <= rgbTensor[n].<R/G/B> <= 255 for each image in batch)
+ * \param [in] alphaTensor alpha values for color casting calculation (1D tensor in pinned/HOST memory, of size sizeof(Rpp32f) * batchSize with alphaTensor[i] >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_color_cast_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptRGB *rgbTensor, Rpp32f *alphaTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Exposure augmentation HOST
- * \details Exposure augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] exposureFactorTensor tensor containing an Rpp32f exposure factor for each image in the batch (exposureFactorTensor[n] >= 0)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Exposure augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The exposure augmentation adjusts image exposure, on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_exposure_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] exposureFactorTensor exposure factor values for exposure adjustment (1D tensor in HOST memory, of size batchSize, with exposureFactorTensor[n] >= 0 for each image in the batch)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_exposure_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *exposureFactorTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Exposure augmentation GPU
- * \details Exposure augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] exposureFactorTensor tensor containing an Rpp32f exposure factor for each image in the batch (exposureFactorTensor[n] >= 0)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Exposure augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The exposure augmentation adjusts image exposure, on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_exposure_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] exposureFactorTensor exposure factor values for exposure adjustment (1D tensor in pinned/HOST memory, of size batchSize, with exposureFactorTensor[n] >= 0 for each image in the batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_exposure_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *exposureFactorTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Contrast augmentation HOST
- * \details Contrast augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] contrastFactorTensor contrast factor values for contrast calculation (1D tensor of size batchSize with contrastFactorTensor[n] > 0 for each image in a batch))
- * \param [in] contrastCenterTensor contrast center values for contrast calculation (1D tensor of size batchSize)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Contrast augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The contrast augmentation adjusts image contrast, on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_contrast_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] contrastFactorTensor contrast factor values for contrast calculation (1D tensor in HOST memory, of size batchSize with contrastFactorTensor[n] > 0 for each image in a batch))
+ * \param [in] contrastCenterTensor contrast center values for contrast calculation (1D tensor in HOST memory, of size batchSize)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_contrast_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *contrastFactorTensor, Rpp32f *contrastCenterTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Contrast augmentation GPU
- * \details Contrast augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] contrastFactorTensor contrast factor values for contrast calculation (1D tensor of size batchSize with contrastFactorTensor[n] > 0 for each image in a batch))
- * \param [in] contrastCenterTensor contrast center values for contrast calculation (1D tensor of size batchSize)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Contrast augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The contrast augmentation adjusts image contrast, on a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_contrast_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] contrastFactorTensor contrast factor values for contrast calculation (1D tensor in pinned/HOST memory, of size batchSize with contrastFactorTensor[n] > 0 for each image in a batch))
+ * \param [in] contrastCenterTensor contrast center values for contrast calculation (1D tensor in pinned/HOST memory, of size batchSize)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_contrast_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *contrastFactorTensor, Rpp32f *contrastCenterTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Lookup augmentation HOST
- * \details Performs a table look-up for each pixel in a batch of images with NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] lutPtr lut Array containing a single integer look up table of length 65536, to be used for all images in the batch
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Look Up Table augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The lut augmentation provides support for a look-up-table based modification of a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_lut_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] lutPtr lut Array in HOST memory, containing a single integer look up table of length 65536, to be used for all images in the batch
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
-
 RppStatus rppt_lut_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RppPtr_t lutPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Lookup augmentation GPU
- * \details Performs a table look-up for each pixel in a batch of images with NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] lutPtr lut Array containing a single integer look up table of length 65536, to be used for all images in the batch
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Look Up Table augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The lut augmentation provides support for a look-up-table based modification of a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html color_augmentations_lut_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] lutPtr lut Array in pinned/HOST memory, containing a single integer look up table of length 65536, to be used for all images in the batch
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_color
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_lut_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RppPtr_t lutPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppt_tensor_data_exchange_operations.h b/include/rppt_tensor_data_exchange_operations.h
index 5aba168ec..b17a72cce 100644
--- a/include/rppt_tensor_data_exchange_operations.h
+++ b/include/rppt_tensor_data_exchange_operations.h
@@ -23,109 +23,136 @@ THE SOFTWARE.
 #ifndef RPPT_DATA_EXCHANGE_OPERATIONS_H
 #define RPPT_DATA_EXCHANGE_OPERATIONS_H
 
-/*!
- * \file
- * \brief RPPT Tensor Data Exchange Operation Functions.
- *
- * \defgroup group_tensor_data_exchange Operations: AMD RPP Tensor Data Exchange Operations
- * \brief Tensor Data Exchange Operations.
- */
-
 #include "rpp.h"
 #include "rppdefs.h"
 #ifdef __cplusplus
 extern "C" {
 #endif
 
-/*! \brief Copy HOST
- * \details Copy operation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_data_exchange
+/*!
+ * \file
+ * \brief RPPT Tensor Operations - Data Exchange Operations.
+ * \defgroup group_rppt_tensor_data_exchange_operations RPPT Tensor Operations - Data Exchange Operations.
+ * \brief RPPT Tensor Operations - Data Exchange Operations.
+ */
+
+/*! \addtogroup group_rppt_tensor_data_exchange_operations
+ * @{
+ */
+
+/*! \brief Copy operation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The copy operation runs a buffer copy for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html data_exchange_operations_copy_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_copy_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Copy GPU
- * \details Copy operation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_data_exchange
+/*! \brief Copy operation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The copy operation runs a buffer copy for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html data_exchange_operations_copy_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_copy_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Swap Channels HOST
- * \details Swap R and B channels to toggle RGB<->BGR for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_data_exchange
+/*! \brief Swap channels operation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The swap channels operation swaps R and B channels to toggle RGB<->BGR for a batch of RGB(3 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html data_exchange_operations_swap_channels_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_swap_channels_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Swap Channels GPU
- * \details Swap R and B channels to toggle RGB<->BGR for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_data_exchange
+/*! \brief Swap channels operation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The swap channels operation swaps R and B channels to toggle RGB<->BGR for a batch of RGB(3 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html data_exchange_operations_swap_channels_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_swap_channels_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Color to greyscale HOST
- * \details Color to greyscale operation for a RGB/BGR NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
+/*! \brief Color to greyscale operation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The color to greyscale operation runs for a batch of RGB(3 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html data_exchange_operations_color_to_greyscale_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
  * \param [in] srcSubpixelLayout A RpptSubpixelLayout type enum to specify source subpixel layout (RGBtype or BGRtype)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_data_exchange
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_color_to_greyscale_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptSubpixelLayout srcSubpixelLayout, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Color to greyscale GPU
- * \details Color to greyscale operation for a RGB/BGR NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
+/*! \brief Color to greyscale operation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The color to greyscale operation runs for a batch of RGB(3 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html data_exchange_operations_color_to_greyscale_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
  * \param [in] srcSubpixelLayout A RpptSubpixelLayout type enum to specify source subpixel layout (RGBtype or BGRtype)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_data_exchange
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_color_to_greyscale_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptSubpixelLayout srcSubpixelLayout, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppt_tensor_effects_augmentations.h b/include/rppt_tensor_effects_augmentations.h
index 3fbf05765..65eec2dda 100644
--- a/include/rppt_tensor_effects_augmentations.h
+++ b/include/rppt_tensor_effects_augmentations.h
@@ -23,255 +23,402 @@ THE SOFTWARE.
 #ifndef RPPT_TENSOR_EFFECTS_AUGMENTATIONS_H
 #define RPPT_TENSOR_EFFECTS_AUGMENTATIONS_H
 
-/*!
- * \file
- * \brief RPPT Tensor Effects Augmentation Functions.
- *
- * \defgroup group_tensor_effects Operations: AMD RPP Tensor Effects Operations
- * \brief Tensor Effects Augmentations.
- */
-
 #include "rpp.h"
 #include "rppdefs.h"
 #ifdef __cplusplus
 extern "C" {
 #endif
 
-/*! \brief Gridmask augmentation HOST
- * \details Gridmask augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
+/*!
+ * \file
+ * \brief RPPT Tensor Operations - Effects Augmentations.
+ * \defgroup group_rppt_tensor_effects_augmentations RPPT Tensor Operations - Effects Augmentations.
+ * \brief RPPT Tensor Operations - Effects Augmentations.
+ */
+
+/*! \addtogroup group_rppt_tensor_effects_augmentations
+ * @{
+ */
+
+/*! \brief Gridmask augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The gridmask augmentation runs as per https://arxiv.org/abs/2001.04086 for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_gridmask_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
  * \param [in] tileWidth tileWidth value for gridmask calculation = width of black square + width of spacing until next black square on grid (a single Rpp32u number with tileWidth <= min(srcDescPtr->w, srcDescPtr->h) that applies to all images in the batch)
  * \param [in] gridRatio gridRatio value for gridmask calculation = black square width / tileWidth (a single Rpp32f number with 0 <= gridRatio <= 1 that applies to all images in the batch)
  * \param [in] gridAngle gridAngle value for gridmask calculation = grid rotation angle in radians (a single Rpp32f number that applies to all images in the batch)
  * \param [in] translateVector translateVector for gridmask calculation = grid X and Y translation lengths in pixels (a single RpptUintVector2D x,y value pair that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_gridmask_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u tileWidth, Rpp32f gridRatio, Rpp32f gridAngle, RpptUintVector2D translateVector, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Gridmask augmentation GPU
- * \details Gridmask augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
+/*! \brief Gridmask augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The gridmask augmentation runs as per https://arxiv.org/abs/2001.04086 for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_gridmask_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
  * \param [in] tileWidth tileWidth value for gridmask calculation = width of black square + width of spacing until next black square on grid (a single Rpp32u number with tileWidth <= min(srcDescPtr->w, srcDescPtr->h) that applies to all images in the batch)
  * \param [in] gridRatio gridRatio value for gridmask calculation = black square width / tileWidth (a single Rpp32f number with 0 <= gridRatio <= 1 that applies to all images in the batch)
  * \param [in] gridAngle gridAngle value for gridmask calculation = grid rotation angle in radians (a single Rpp32f number that applies to all images in the batch)
  * \param [in] translateVector translateVector for gridmask calculation = grid X and Y translation lengths in pixels (a single RpptUintVector2D x,y value pair that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_gridmask_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u tileWidth, Rpp32f gridRatio, Rpp32f gridAngle, RpptUintVector2D translateVector, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Spatter augmentation HOST
- * \details Spatter augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
+/*! \brief Spatter augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The spatter augmentation adds random spatter of a user-defined color, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_spatter_typeMud_img150x150.jpg Sample Output - Mud Spatter
+ * \image html effects_augmentations_spatter_typeInk_img150x150.jpg Sample Output - Ink Spatter
+ * \image html effects_augmentations_spatter_typeBlood_img150x150.jpg Sample Output - Blood Spatter
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
  * \param [in] spatterColor RGB values to use for the spatter augmentation (A single set of 3 Rpp8u values as RpptRGB that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 1920 and roiTensorSrc[i].xywhROI.roiHeight <= 1080)
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_spatter_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptRGB spatterColor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
-#ifdef GPU_SUPPORT
 
-/*! \brief Spatter augmentation GPU
- * \details Spatter augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
+#ifdef GPU_SUPPORT
+/*! \brief Spatter augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The spatter augmentation adds random spatter of a user-defined color, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_spatter_typeMud_img150x150.jpg Sample Output - Mud Spatter
+ * \image html effects_augmentations_spatter_typeInk_img150x150.jpg Sample Output - Ink Spatter
+ * \image html effects_augmentations_spatter_typeBlood_img150x150.jpg Sample Output - Blood Spatter
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
  * \param [in] spatterColor RGB values to use for the spatter augmentation (A single set of 3 Rpp8u values as RpptRGB that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 1920 and roiTensorSrc[i].xywhROI.roiHeight <= 1080)
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_spatter_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptRGB spatterColor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Salt and Pepper Noise augmentation HOST
- * \details Salt and Pepper Noise augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] noiseProbailityTensor noiseProbaility values to decide if a destination pixel is a noise-pixel, or equal to source (1D tensor of size batchSize with 0 <= noiseProbailityTensor[i] <= 1 for each image in batch)
- * \param [in] saltProbailityTensor saltProbaility values to decide if a given destination noise-pixel is salt or pepper (1D tensor of size batchSize with 0 <= saltProbailityTensor[i] <= 1 for each image in batch)
- * \param [in] saltValueTensor A user-defined salt noise value (1D tensor of size batchSize with 0 <= saltValueTensor[i] <= 1 for each image in batch)
- * \param [in] pepperValueTensor A user-defined pepper noise value (1D tensor of size batchSize with 0 <= pepperValueTensor[i] <= 1 for each image in batch)
+/*! \brief Salt and pepper noise augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The salt and pepper noise augmentation adds SnP noise based on user defined noise/salt probabilities, and user defined salt/pepper values for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_salt_and_pepper_noise_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] noiseProbailityTensor noiseProbaility values to decide if a destination pixel is a noise-pixel, or equal to source (1D tensor in HOST memory, of size batchSize with 0 <= noiseProbailityTensor[i] <= 1 for each image in batch)
+ * \param [in] saltProbailityTensor saltProbaility values to decide if a given destination noise-pixel is salt or pepper (1D tensor in HOST memory, of size batchSize with 0 <= saltProbailityTensor[i] <= 1 for each image in batch)
+ * \param [in] saltValueTensor A user-defined salt noise value (1D tensor in HOST memory, of size batchSize with 0 <= saltValueTensor[i] <= 1 for each image in batch)
+ * \param [in] pepperValueTensor A user-defined pepper noise value (1D tensor in HOST memory, of size batchSize with 0 <= pepperValueTensor[i] <= 1 for each image in batch)
  * \param [in] seed A user-defined seed value (single Rpp32u value)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_salt_and_pepper_noise_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *noiseProbabilityTensor, Rpp32f *saltProbabilityTensor, Rpp32f *saltValueTensor, Rpp32f *pepperValueTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Salt and Pepper Noise augmentation GPU
- * \details Salt and Pepper Noise augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] noiseProbailityTensor noiseProbaility values to decide if a destination pixel is a noise-pixel, or equal to source (1D tensor of size batchSize with 0 <= noiseProbailityTensor[i] <= 1 for each image in batch)
- * \param [in] saltProbailityTensor saltProbaility values to decide if a given destination noise-pixel is salt or pepper (1D tensor of size batchSize with 0 <= saltProbailityTensor[i] <= 1 for each image in batch)
- * \param [in] saltValueTensor A user-defined salt noise value (1D tensor of size batchSize with 0 <= saltValueTensor[i] <= 1 for each image in batch)
- * \param [in] pepperValueTensor A user-defined pepper noise value (1D tensor of size batchSize with 0 <= pepperValueTensor[i] <= 1 for each image in batch)
+/*! \brief Salt and pepper noise augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The salt and pepper noise augmentation adds SnP noise based on user defined noise/salt probabilities, and user defined salt/pepper values for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_salt_and_pepper_noise_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] noiseProbailityTensor noiseProbaility values to decide if a destination pixel is a noise-pixel, or equal to source (1D tensor in pinned/HOST memory, of size batchSize with 0 <= noiseProbailityTensor[i] <= 1 for each image in batch)
+ * \param [in] saltProbailityTensor saltProbaility values to decide if a given destination noise-pixel is salt or pepper (1D tensor in pinned/HOST memory, of size batchSize with 0 <= saltProbailityTensor[i] <= 1 for each image in batch)
+ * \param [in] saltValueTensor A user-defined salt noise value (1D tensor in pinned/HOST memory, of size batchSize with 0 <= saltValueTensor[i] <= 1 for each image in batch)
+ * \param [in] pepperValueTensor A user-defined pepper noise value (1D tensor in pinned/HOST memory, of size batchSize with 0 <= pepperValueTensor[i] <= 1 for each image in batch)
  * \param [in] seed A user-defined seed value (single Rpp32u value)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_salt_and_pepper_noise_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *noiseProbabilityTensor, Rpp32f *saltProbabilityTensor, Rpp32f *saltValueTensor, Rpp32f *pepperValueTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Shot Noise augmentation HOST
- * \details Shot Noise augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] shotNoiseFactorTensor shotNoiseFactor values for each image, which are used to compute the lambda values in a poisson distribution (1D tensor of size batchSize with shotNoiseFactorTensor[i] >= 0 for each image in batch)
+/*! \brief Shot noise augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The shot noise augmentation adds Poisson/shot noise based on a user defined shotNoiseFactor, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_shot_noise_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] shotNoiseFactorTensor shotNoiseFactor values for each image, which are used to compute the lambda values in a poisson distribution (1D tensor in HOST memory, of size batchSize with shotNoiseFactorTensor[i] >= 0 for each image in batch)
  * \param [in] seed A user-defined seed value (single Rpp32u value)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_shot_noise_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *shotNoiseFactorTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Shot Noise augmentation GPU
- * \details Shot Noise augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] shotNoiseFactorTensor shotNoiseFactor values for each image, which are used to compute the lambda values in a poisson distribution (1D tensor of size batchSize with shotNoiseFactorTensor[i] >= 0 for each image in batch)
+/*! \brief Shot noise augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The shot noise augmentation adds Poisson/shot noise based on a user defined shotNoiseFactor, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_shot_noise_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] shotNoiseFactorTensor shotNoiseFactor values for each image, which are used to compute the lambda values in a poisson distribution (1D tensor in pinned/HOST memory, of size batchSize with shotNoiseFactorTensor[i] >= 0 for each image in batch)
  * \param [in] seed A user-defined seed value (single Rpp32u value)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_shot_noise_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *shotNoiseFactorTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Gaussian Noise augmentation HOST
- * \details Gaussian Noise augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] meanTensor mean values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with meanTensor[i] >= 0 for each image in batch)
- * \param [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with stdDevTensor[i] >= 0 for each image in batch)
+/*! \brief Gaussian noise augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The gaussian noise augmentation adds Gaussian noise based on user defined means and standard deviations, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_gaussian_noise_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] meanTensor mean values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in HOST memory, of size batchSize with meanTensor[i] >= 0 for each image in batch)
+ * \param [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in HOST memory, of size batchSize with stdDevTensor[i] >= 0 for each image in batch)
  * \param [in] seed A user-defined seed value (single Rpp32u value)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_gaussian_noise_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *meanTensor, Rpp32f *stdDevTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Gaussian Noise augmentation GPU
- * \details Gaussian Noise augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] meanTensor mean values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with meanTensor[i] >= 0 for each image in batch)
- * \param [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with stdDevTensor[i] >= 0 for each image in batch)
+/*! \brief Gaussian noise augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The gaussian noise augmentation adds Gaussian noise based on user defined means and standard deviations, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_gaussian_noise_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] meanTensor mean values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in pinned/HOST memory, of size batchSize with meanTensor[i] >= 0 for each image in batch)
+ * \param [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in pinned/HOST memory, of size batchSize with stdDevTensor[i] >= 0 for each image in batch)
  * \param [in] seed A user-defined seed value (single Rpp32u value)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_gaussian_noise_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *meanTensor, Rpp32f *stdDevTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Non linear blending augmentation HOST
- * \details Non linear blending augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr1 source tensor memory
- * \param [in] srcPtr2 source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with stdDevTensor[i] >= 0 for each image in batch)
- * \param [in] seed A user-defined seed value (single Rpp32u value)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Non linear blend augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The non linear blend augmentation adds standard deviation based non-linear alpha-blending, between two sets of batches of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input1
+ * \image html img150x150_2.jpg Sample Input2
+ * \image html effects_augmentations_non_linear_blend_img150x150.jpg Sample Output
+ * \param [in] srcPtr1 source1 tensor in HOST memory
+ * \param [in] srcPtr2 source2 tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in HOST memory, of size batchSize with stdDevTensor[i] >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_non_linear_blend_host(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *stdDevTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Non linear blending augmentation GPU
- * \details Non linear blending augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr1 source tensor memory
- * \param [in] srcPtr2 source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with stdDevTensor[i] >= 0 for each image in batch)
- * \param [in] seed A user-defined seed value (single Rpp32u value)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Non linear blend augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The non linear blend augmentation adds standard deviation based non-linear alpha-blending, between two sets of batches of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input1
+ * \image html img150x150_2.jpg Sample Input2
+ * \image html effects_augmentations_non_linear_blend_img150x150.jpg Sample Output
+ * \param [in] srcPtr1 source1 tensor in HIP memory
+ * \param [in] srcPtr2 source2 tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in pinned/HOST memory, of size batchSize with stdDevTensor[i] >= 0 for each image in batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_effects
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_non_linear_blend_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *stdDevTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! \brief Water augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The water augmentation adds a water effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_water_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param[in] amplitudeXTensor amplitudeX values for water effect (1D tensor in HOST memory, of size batchSize)
+ * \param[in] amplitudeYTensor amplitudeY values for water effect (1D tensor in HOST memory, of size batchSize)
+ * \param[in] freqXTensor freqX values for water effect (1D tensor in HOST memory, of size batchSize)
+ * \param[in] freqYTensor freqY values for water effect (1D tensor in HOST memory, of size batchSize)
+ * \param[in] phaseXTensor amplitudeY values for water effect (1D tensor in HOST memory, of size batchSize)
+ * \param[in] phaseYTensor amplitudeY values for water effect (1D tensor in HOST memory, of size batchSize)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
+ */
+RppStatus rppt_water_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *amplitudeXTensor, Rpp32f *amplitudeYTensor, Rpp32f *frequencyXTensor, Rpp32f *frequencyYTensor, Rpp32f *phaseXTensor, Rpp32f *phaseYTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
+#ifdef GPU_SUPPORT
+/*! \brief Water augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The water augmentation adds a water effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_water_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param[in] amplitudeXTensor amplitudeX values for water effect (1D tensor in pinned/HOST memory, of size batchSize)
+ * \param[in] amplitudeYTensor amplitudeY values for water effect (1D tensor in pinned/HOST memory, of size batchSize)
+ * \param[in] freqXTensor freqX values for water effect (1D tensor in pinned/HOST memory, of size batchSize)
+ * \param[in] freqYTensor freqY values for water effect (1D tensor in pinned/HOST memory, of size batchSize)
+ * \param[in] phaseXTensor amplitudeY values for water effect (1D tensor in pinned/HOST memory, of size batchSize)
+ * \param[in] phaseYTensor amplitudeY values for water effect (1D tensor in pinned/HOST memory, of size batchSize)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
+ */
+RppStatus rppt_water_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *amplitudeXTensor, Rpp32f *amplitudeYTensor, Rpp32f *frequencyXTensor, Rpp32f *frequencyYTensor, Rpp32f *phaseXTensor, Rpp32f *phaseYTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+#endif // GPU_SUPPORT
+
+/*! \brief RICAP (Random Image Crop And Patch) augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The RICAP (Random Image Crop And Patch) augmentation runs as per https://arxiv.org/abs/1811.09030 for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * The RICAP augmentation requires dimensions of input images to be the same across entire batch.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_ricap_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param[in] permutedIndicesTensor Array of batchSize permutation sets (2D tensor in HOST memory, of batchSize * 4. Each set of 4 permutations contains Rpp32u image indices for each region in the respective RICAP-output-image in the batch)
+ * \param[in] roiPtrInputCropRegion Array of 4 ROIs (2D tensor in HOST memory, of size 4 * 4-elements per ROI, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
+ */
+RppStatus rppt_ricap_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u *permutedIndicesTensor, RpptROIPtr roiPtrInputCropRegion, RpptRoiType roiType, rppHandle_t rppHandle);
+
+#ifdef GPU_SUPPORT
+/*! \brief RICAP (Random Image Crop And Patch) augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The RICAP (Random Image Crop And Patch) augmentation runs as per https://arxiv.org/abs/1811.09030 for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * The RICAP augmentation requires dimensions of input images to be the same across entire batch.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html effects_augmentations_ricap_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param[in] permutedIndicesTensor Array of batchSize permutation sets (2D tensor in pinned/HOST memory, of batchSize * 4. Each set of 4 permutations contains Rpp32u image indices for each region in the respective RICAP-output-image in the batch)
+ * \param[in] roiPtrInputCropRegion Array of 4 ROIs (2D tensor in HIP memory, of size 4 * 4-elements per ROI, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
+ */
+RppStatus rppt_ricap_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u *permutedIndicesTensor, RpptROIPtr roiPtrInputCropRegion, RpptRoiType roiType, rppHandle_t rppHandle);
+#endif // GPU_SUPPORT
+
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppt_tensor_filter_augmentations.h b/include/rppt_tensor_filter_augmentations.h
index b5a493aa4..aab5bbf3d 100644
--- a/include/rppt_tensor_filter_augmentations.h
+++ b/include/rppt_tensor_filter_augmentations.h
@@ -23,74 +23,77 @@ THE SOFTWARE.
 #ifndef RPPT_TENSOR_FILTER_AUGMENTATIONS_H
 #define RPPT_TENSOR_FILTER_AUGMENTATIONS_H
 
-/*!
- * \file
- * \brief RPPT Tensor Filter Augmentation Functions.
- *
- * \defgroup group_tensor_filter Operations: AMD RPP Tensor Filter Operations
- * \brief Tensor Filter Augmentations.
- */
-
 #include "rpp.h"
 #include "rppdefs.h"
 #ifdef __cplusplus
 extern "C" {
 #endif
 
-/*! \brief Box Filter augmentation HOST
- * \details Box Filter augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] kernelSize kernel size for box_filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
- * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_filter
+/*!
+ * \file
+ * \brief RPPT Tensor Operations - Filter Augmentations.
+ * \defgroup group_rppt_tensor_filter_augmentations RPPT Tensor Operations - Filter Augmentations.
+ * \brief RPPT Tensor Operations - Filter Augmentations.
+ */
+
+/*! \addtogroup group_rppt_tensor_filter_augmentations
+ * @{
  */
+
 #ifdef GPU_SUPPORT
-/*! \brief Box Filter augmentation GPU
- * \details Box Filter augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] kernelSize kernel size for box_filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Box Filter augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The box filter augmentation runs for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html filter_augmentations_box_filter_kSize3_img150x150.jpg Sample 3x3 Output
+ * \image html filter_augmentations_box_filter_kSize5_img150x150.jpg Sample 5x5 Output
+ * \image html filter_augmentations_box_filter_kSize7_img150x150.jpg Sample 7x7 Output
+ * \image html filter_augmentations_box_filter_kSize9_img150x150.jpg Sample 9x9 Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] kernelSize kernel size for box filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_filter
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_box_filter_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u kernelSize, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/******************** gaussian_filter ********************/
-
-// Gaussian Filter augmentation for a NCHW/NHWC layout tensor
-
-// *param[in] srcPtr source tensor memory
-// *param[in] srcDescPtr source tensor descriptor (srcDescPtr->offsetInBytes must be at least 12 * (kernelSize / 2))
-// *param[out] dstPtr destination tensor memory
-// *param[in] dstDescPtr destination tensor descriptor
-// *param[in] stdDevTensor standard deviation value for each image in the batch (stdDevTensor[n] >= 0, 1D tensor of size = batchSize)
-// *param[in] kernelSize kernel size for box_filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
-// *param[in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
-// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
-// *returns a  RppStatus enumeration.
-// *retval RPP_SUCCESS : succesful completion
-// *retval RPP_ERROR : Error
-
 #ifdef GPU_SUPPORT
+/*! \brief Gaussian Filter augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The gaussian filter augmentation runs for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html filter_augmentations_gaussian_filter_kSize3_img150x150.jpg Sample 3x3 Output
+ * \image html filter_augmentations_gaussian_filter_kSize5_img150x150.jpg Sample 5x5 Output
+ * \image html filter_augmentations_gaussian_filter_kSize7_img150x150.jpg Sample 7x7 Output
+ * \image html filter_augmentations_gaussian_filter_kSize9_img150x150.jpg Sample 9x9 Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] stdDevTensor stdDev values for gaussian calculation (1D tensor in pinned/HOST memory, of size batchSize, for each image in batch)
+ * \param [in] kernelSize kernel size for gaussian filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
+ */
 RppStatus rppt_gaussian_filter_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *stdDevTensor, Rpp32u kernelSize, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppt_tensor_geometric_augmentations.h b/include/rppt_tensor_geometric_augmentations.h
index b671eaa9c..304e75c4c 100644
--- a/include/rppt_tensor_geometric_augmentations.h
+++ b/include/rppt_tensor_geometric_augmentations.h
@@ -23,325 +23,385 @@ THE SOFTWARE.
 #ifndef RPPT_TENSOR_GEOMETRIC_AUGMENTATIONS_H
 #define RPPT_TENSOR_GEOMETRIC_AUGMENTATIONS_H
 
-/*!
- * \file
- * \brief RPPT Tensor Geometric Augmentation Functions.
- *
- * \defgroup group_tensor_geometric Operations: AMD RPP Tensor Geometric Operations
- * \brief Tensor Geometric Augmentations.
- */
-
 #include "rpp.h"
 #include "rppdefs.h"
 #ifdef __cplusplus
 extern "C" {
 #endif
 
-/*! \brief Crop augmentation HOST
- * \details Crop augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*!
+ * \file
+ * \brief RPPT Tensor Operations - Geometric Augmentations.
+ * \defgroup group_rppt_tensor_geometric_augmentations RPPT Tensor Operations - Geometric Augmentations.
+ * \brief RPPT Tensor Operations - Geometric Augmentations.
+ */
+
+/*! \addtogroup group_rppt_tensor_geometric_augmentations
+ * @{
+ */
+
+/*! \brief Crop augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The crop augmentation crops each image to a given ROI, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_crop_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_crop_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Crop augmentation GPU
- * \details Crop augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Crop augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The crop augmentation crops each image to a given ROI, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_crop_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_crop_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-
-/*! \brief Crop Mirror Normalize augmentation HOST
- * \details Crop Mirror Normalize augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] offsetTensor offset value for each image in the batch (offsetTensor[n] <= 0)
- * \param [in] multiplierTensor multiplier value for each image in the batch (multiplierTensor[n] > 0)
- * \param [in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Crop mirror normalize augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The crop mirror normalize augmentation crops each image to a given ROI, does an optional mirror and/or normalize for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_crop_mirror_normalize_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] offsetTensor offset values for normalization (1D tensor in HOST memory, of size batchSize, with offsetTensor[n] <= 0)
+ * \param [in] multiplierTensor multiplier values for normalization (1D tensor in HOST memory, of size batchSize, with multiplierTensor[n] > 0)
+ * \param [in] mirrorTensor mirror flag values to set mirroring on/off (1D tensor in HOST memory, of size batchSize, with mirrorTensor[n] = 0/1)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_crop_mirror_normalize_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *offsetTensor, Rpp32f *multiplierTensor, Rpp32u *mirrorTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Crop Mirror Normalize augmentation GPU
- * \details Crop Mirror Normalize augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] offsetTensor offset value for each image in the batch (offsetTensor[n] <= 0)
- * \param [in] multiplierTensor multiplier value for each image in the batch (multiplierTensor[n] > 0)
- * \param [in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Crop mirror normalize augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The crop mirror normalize augmentation crops each image to a given ROI, does an optional mirror and/or normalize for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_crop_mirror_normalize_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] offsetTensor offset values for normalization (1D tensor in pinned/HOST memory, of size batchSize, with offsetTensor[n] <= 0)
+ * \param [in] multiplierTensor multiplier values for normalization (1D tensor in pinned/HOST memory, of size batchSize, with multiplierTensor[n] > 0)
+ * \param [in] mirrorTensor mirror flag values to set mirroring on/off (1D tensor in pinned/HOST memory, of size batchSize, with mirrorTensor[n] = 0/1)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_crop_mirror_normalize_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *offsetTensor, Rpp32f *multiplierTensor, Rpp32u *mirrorTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-
-/*! \brief Warp Affine augmentation HOST
- * \details Warp Affine augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] affineTensor affine matrix values for transformation calculation (2D tensor of size batchSize * 6 for each image in batch)
+/*! \brief Warp affine augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The warp affine augmentation performs affine transformations for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_warp_affine_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] affineTensor affine matrix values for transformation calculation (2D tensor in HOST memory, of size batchSize * 6 for each image in batch)
  * \param [in] interpolationType Interpolation type used (RpptInterpolationType::XYWH or RpptRoiType::LTRB)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_warp_affine_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *affineTensor, RpptInterpolationType interpolationType, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Warp Affine augmentation GPU
- * \details Warp Affine augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] affineTensor affine matrix values for transformation calculation (2D tensor of size batchSize * 6 for each image in batch)
+/*! \brief Warp affine augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The warp affine augmentation performs affine transformations for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_warp_affine_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] affineTensor affine matrix values for transformation calculation (2D tensor in pinned/HOST memory, of size batchSize * 6 for each image in batch)
  * \param [in] interpolationType Interpolation type used (RpptInterpolationType::XYWH or RpptRoiType::LTRB)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_warp_affine_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *affineTensor, RpptInterpolationType interpolationType, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Flip augmentation HOST
- * \details Flip augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] horizontalTensor horizontal flag value to set horizontal flip on/off for each image in the batch (horizontalTensor[n] = 0/1)
- * \param [in] verticalTensor vertical flag value to set vertical flip on/off for each image in the batch (verticalTensor[n] = 0/1)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Flip augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The flip augmentation performs a mask-controlled horizontal/vertical flip for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_flip_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] horizontalTensor horizontal flag values to set horizontal flip on/off (1D tensor in HOST memory, of size batchSize, with horizontalTensor[i] = 0/1)
+ * \param [in] verticalTensor vertical flag values to set vertical flip on/off (1D tensor in HOST memory, of size batchSize, with verticalTensor[i] = 0/1)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_flip_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u *horizontalTensor, Rpp32u *verticalTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Flip augmentation GPU
- * \details Flip augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] horizontalTensor horizontal flag value to set horizontal flip on/off for each image in the batch (horizontalTensor[n] = 0/1)
- * \param [in] verticalTensor vertical flag value to set vertical flip on/off for each image in the batch (verticalTensor[n] = 0/1)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Flip augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The flip augmentation performs a mask-controlled horizontal/vertical flip for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_flip_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] horizontalTensor horizontal flag values to set horizontal flip on/off (1D tensor in pinned/HOST memory, of size batchSize, with horizontalTensor[i] = 0/1)
+ * \param [in] verticalTensor vertical flag values to set vertical flip on/off (1D tensor in pinned/HOST memory, of size batchSize, with verticalTensor[i] = 0/1)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_flip_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u *horizontalTensor, Rpp32u *verticalTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Resize augmentation HOST
- * \details Resize augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] dstImgSizes destination image size
- * \param [in] interpolationType resize interpolation type
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Resize augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The resize augmentation performs an image resize for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_resize_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] dstImgSizes destination image sizes (<tt> \ref RpptImagePatchPtr </tt> type pointer to array, in HOST memory, of size batchSize)
+ * \param [in] interpolationType Interpolation type used in <tt> \ref RpptInterpolationType </tt>
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_resize_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptImagePatchPtr dstImgSizes, RpptInterpolationType interpolationType, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Resize augmentation GPU
- * \details Resize augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] dstImgSizes destination image size
- * \param [in] interpolationType resize interpolation type
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Resize augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The resize augmentation performs an image resize for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_resize_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] dstImgSizes destination image sizes (<tt> \ref RpptImagePatchPtr </tt> type pointer to array, in pinned/HOST memory, of size batchSize)
+ * \param [in] interpolationType Interpolation type used in <tt> \ref RpptInterpolationType </tt>
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_resize_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptImagePatchPtr dstImgSizes, RpptInterpolationType interpolationType, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Resize Mirror Normalize augmentation HOST
- * \details Resize Mirror Normalize augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] dstImgSizes destination image size
- * \param [in] interpolationType resize interpolation type
- * \param [in] meanTensor mean value for each image in the batch (meanTensor[n] >= 0, 1D tensor of size = batchSize for greyscale images, size = batchSize * 3 for RGB images))
- * \param [in] stdDevTensor standard deviation value for each image in the batch (stdDevTensor[n] >= 0, 1D tensor of size = batchSize for greyscale images, size = batchSize * 3 for RGB images)
- * \param [in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Resize mirror normalize augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The resize mirror normalize augmentation performs an image resize, an optional mirror and/or normalize, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_resize_mirror_normalize_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] dstImgSizes destination image sizes (<tt> \ref RpptImagePatchPtr </tt> type pointer to array, in HOST memory, of size batchSize)
+ * \param [in] interpolationType Interpolation type used in <tt> \ref RpptInterpolationType </tt>
+ * \param [in] meanTensor mean value for each image in the batch (meanTensor[n] >= 0, 1D tensor in HOST memory, of size = batchSize for greyscale images, size = batchSize * 3 for RGB images))
+ * \param [in] stdDevTensor standard deviation value for each image in the batch (stdDevTensor[n] >= 0, 1D tensor in HOST memory, of size = batchSize for greyscale images, size = batchSize * 3 for RGB images)
+ * \param [in] mirrorTensor mirror flag value to set mirroring on/off (1D tensor in HOST memory, of size batchSize, with mirrorTensor[n] = 0/1)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_resize_mirror_normalize_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptImagePatchPtr dstImgSizes, RpptInterpolationType interpolationType, Rpp32f *meanTensor, Rpp32f *stdDevTensor, Rpp32u *mirrorTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Resize Mirror Normalize augmentation GPU
- * \details Resize Mirror Normalize augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] dstImgSizes destination image size
- * \param [in] interpolationType resize interpolation type
- * \param [in] meanTensor mean value for each image in the batch (meanTensor[n] >= 0, 1D tensor of size = batchSize for greyscale images, size = batchSize * 3 for RGB images))
- * \param [in] stdDevTensor standard deviation value for each image in the batch (stdDevTensor[n] >= 0, 1D tensor of size = batchSize for greyscale images, size = batchSize * 3 for RGB images)
- * \param [in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Resize mirror normalize augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The resize mirror normalize augmentation performs an image resize, an optional mirror and/or normalize, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_resize_mirror_normalize_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] dstImgSizes destination image sizes (<tt> \ref RpptImagePatchPtr </tt> type pointer to array, in HIP memory, of size batchSize)
+ * \param [in] interpolationType Interpolation type used in <tt> \ref RpptInterpolationType </tt>
+ * \param [in] meanTensor mean value for each image in the batch (meanTensor[n] >= 0, 1D tensor in pinned/HOST memory, of size = batchSize for greyscale images, size = batchSize * 3 for RGB images))
+ * \param [in] stdDevTensor standard deviation value for each image in the batch (stdDevTensor[n] >= 0, 1D tensor in pinned/HOST memory, of size = batchSize for greyscale images, size = batchSize * 3 for RGB images)
+ * \param [in] mirrorTensor mirror flag value to set mirroring on/off (1D tensor in pinned/HOST memory, of size batchSize, with mirrorTensor[n] = 0/1)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_resize_mirror_normalize_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptImagePatchPtr dstImgSizes, RpptInterpolationType interpolationType, Rpp32f *meanTensor, Rpp32f *stdDevTensor, Rpp32u *mirrorTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Resize Crop Mirror augmentation HOST
- * \details Resize Crop Mirror augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] dstImgSizes destination image size
- * \param [in] interpolationType resize interpolation type
- * \param [in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Resize crop mirror augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The resize crop mirror augmentation performs an image resized crop, with an optional mirror, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_resize_crop_mirror_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] dstImgSizes destination image sizes (<tt> \ref RpptImagePatchPtr </tt> type pointer to array, in HOST memory, of size batchSize)
+ * \param [in] interpolationType Interpolation type used in <tt> \ref RpptInterpolationType </tt>
+ * \param [in] mirrorTensor mirror flag value to set mirroring on/off (1D tensor in HOST memory, of size batchSize, with mirrorTensor[n] = 0/1)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_resize_crop_mirror_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptImagePatchPtr dstImgSizes, RpptInterpolationType interpolationType, Rpp32u *mirrorTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Resize Crop Mirror augmentation GPU
- * \details Resize Crop Mirror augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] dstImgSizes destination image size
- * \param [in] interpolationType resize interpolation type
- * \param [in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Resize crop mirror augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The resize crop mirror augmentation performs an image resized crop, with an optional mirror, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_resize_crop_mirror_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] dstImgSizes destination image sizes (<tt> \ref RpptImagePatchPtr </tt> type pointer to array, in pinned/HOST memory, of size batchSize)
+ * \param [in] interpolationType Interpolation type used in <tt> \ref RpptInterpolationType </tt>
+ * \param [in] mirrorTensor mirror flag value to set mirroring on/off (1D tensor in pinned/HOST memory, of size batchSize, with mirrorTensor[n] = 0/1)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_resize_crop_mirror_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptImagePatchPtr dstImgSizes, RpptInterpolationType interpolationType, Rpp32u *mirrorTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Rotate augmentation HOST
- * \details Rotate augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] angle values for image rotation in degrees (positive deg-anticlockwise/negative deg-clockwise)
- * \param [in] interpolationType resize interpolation type
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Rotate augmentation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The rotate augmentation performs a rotate transformations for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_rotate_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HOST memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] angle image rotation angle in degrees - positive deg-anticlockwise/negative deg-clockwise (1D tensor in HOST memory, of size batchSize)
+ * \param [in] interpolationType Interpolation type used (RpptInterpolationType::XYWH or RpptRoiType::LTRB)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_rotate_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *angle, RpptInterpolationType interpolationType, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
-/*! \brief Rotate augmentation GPU
- * \details Rotate augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] angle values for image rotation in degrees (positive deg-anticlockwise/negative deg-clockwise)
- * \param [in] interpolationType resize interpolation type
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Rotate augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The rotate augmentation performs a rotate transformations for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html geometric_augmentations_rotate_img150x150.jpg Sample Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] angle image rotation angle in degrees - positive deg-anticlockwise/negative deg-clockwise (1D tensor in pinned/HOST memory, of size batchSize)
+ * \param [in] interpolationType Interpolation type used (RpptInterpolationType::XYWH or RpptRoiType::LTRB)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_geometric
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_rotate_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *angle, RpptInterpolationType interpolationType, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
-#endif // RPPT_TENSOR_GEOMETRIC_AUGMENTATIONS_H
+#endif // RPPT_TENSOR_GEOMETRIC_AUGMENTATIONS_H
\ No newline at end of file
diff --git a/include/rppt_tensor_morphological_operations.h b/include/rppt_tensor_morphological_operations.h
index 82acb6e36..52fc1465d 100644
--- a/include/rppt_tensor_morphological_operations.h
+++ b/include/rppt_tensor_morphological_operations.h
@@ -23,89 +23,77 @@ THE SOFTWARE.
 #ifndef RPPT_TENSOR_MORPHOLOGICAL_OPERATIONS_H
 #define RPPT_TENSOR_MORPHOLOGICAL_OPERATIONS_H
 
-/*!
- * \file
- * \brief RPPT Tensor Morphological Augmentation Functions.
- *
- * \defgroup group_tensor_morph Operations: AMD RPP Tensor Morphological Operations
- * \brief Tensor Morphological Augmentations.
- */
-
 #include "rpp.h"
 #include "rppdefs.h"
 #ifdef __cplusplus
 extern "C" {
 #endif
 
-/*! \brief Erode augmentation HOST
- * \details Erode augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] kernelSize kernel size for erode (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
- * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_morph
+/*!
+ * \file
+ * \brief RPPT Tensor Operations - Morphological Operations.
+ * \defgroup group_rppt_tensor_morphological_operations RPPT Tensor Operations - Morphological Operations.
+ * \brief RPPT Tensor Operations - Morphological Operations.
  */
+
+/*! \addtogroup group_rppt_tensor_morphological_operations
+ * @{
+ */
+
 #ifdef GPU_SUPPORT
-/*! \brief Erode augmentation GPU
- * \details Erode augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] kernelSize kernel size for erode (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Erode augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The erode augmentation runs for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html morphological_operations_erode_kSize3_img150x150.jpg Sample 3x3 Output
+ * \image html morphological_operations_erode_kSize5_img150x150.jpg Sample 5x5 Output
+ * \image html morphological_operations_erode_kSize7_img150x150.jpg Sample 7x7 Output
+ * \image html morphological_operations_erode_kSize9_img150x150.jpg Sample 9x9 Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] kernelSize kernel size for box filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_morph
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_erode_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u kernelSize, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
-/*! \brief Dilate augmentation HOST
- * \details Dilate augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] kernelSize kernel size for dilate (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
- * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle Host-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_morph
- */
 #ifdef GPU_SUPPORT
-/*! \brief Dilate augmentation GPU
- * \details Dilate augmentation for a NCHW/NHWC layout tensor
- * \param [in] srcPtr source tensor memory
- * \param [in] srcDescPtr source tensor descriptor
- * \param [out] dstPtr destination tensor memory
- * \param [in] dstDescPtr destination tensor descriptor
- * \param [in] kernelSize kernel size for dilate (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
- * \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
+/*! \brief Dilate augmentation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The dilate augmentation runs for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \image html img150x150.jpg Sample Input
+ * \image html morphological_operations_dilate_kSize3_img150x150.jpg Sample 3x3 Output
+ * \image html morphological_operations_dilate_kSize5_img150x150.jpg Sample 5x5 Output
+ * \image html morphological_operations_dilate_kSize7_img150x150.jpg Sample 7x7 Output
+ * \image html morphological_operations_dilate_kSize9_img150x150.jpg Sample 9x9 Output
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] dstPtr destination tensor in HIP memory
+ * \param [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr)
+ * \param [in] kernelSize kernel size for box filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
  * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
- * \param [in] rppHandle HIP-handle
- * \return <tt> Rppt_Status enum</tt>.
- * \returns RPP_SUCCESS <tt>\ref Rppt_Status</tt> on successful completion.
- * Else return RPP_ERROR
- * \ingroup group_tensor_morph
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
  */
 RppStatus rppt_dilate_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u kernelSize, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
-#endif // RPPT_TENSOR_MORPHOLOGICAL_OPERATIONS_H
+#endif // RPPT_TENSOR_MORPHOLOGICAL_OPERATIONS_H
\ No newline at end of file
diff --git a/include/rppt_tensor_statistical_operations.h b/include/rppt_tensor_statistical_operations.h
index 037cb86e2..b2c1180c6 100644
--- a/include/rppt_tensor_statistical_operations.h
+++ b/include/rppt_tensor_statistical_operations.h
@@ -23,36 +23,62 @@ THE SOFTWARE.
 #ifndef RPPT_TENSOR_STATISTICAL_OPERATIONS_H
 #define RPPT_TENSOR_STATISTICAL_OPERATIONS_H
 
-/*!
- * \file
- * \brief RPPT Tensor Statistical Augmentation Functions.
- *
- * \defgroup group_tensor_stat Operations: AMD RPP Tensor Statistical Operations
- * \brief RPP Tensor Statistical Augmentations.
- */
-
 #include "rpp.h"
 #include "rppdefs.h"
 #ifdef __cplusplus
 extern "C" {
 #endif
 
-/*! \brief rppt_tensor_sum_host
-* \details Tensor sum finder operation for a NCHW/NHWC layout tensor
-* \ingroup group_tensor_stat
-* \param [in] srcPtr source tensor memory
-* \param [in] srcDescPtr source tensor descriptor (srcDescPtr->w can be a maximum of 3840, srcDescPtr->h can be a maximum of 2160)
-* \param [out] tensorSumArr destination array of minimum length (srcPtr->n * srcPtr->c)
-* \param [in] tensorSumArrLength length of provided destination array (minimum length = srcPtr->n * srcPtr->c)
-* \param [in] roiTensorSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y))
-* \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
-* \return <tt> Rppt_Status enum</tt>.
-*/
+/*!
+ * \file
+ * \brief RPPT Tensor Operations - Statistical Operations.
+ * \defgroup group_rppt_tensor_statistical_operations RPPT Tensor Operations - Statistical Operations.
+ * \brief RPPT Tensor Operations - Statistical Operations.
+ */
+
+/*! \addtogroup group_rppt_tensor_statistical_operations
+ * @{
+ */
+
+/*! \brief Tensor sum operation on HOST backend for a NCHW/NHWC layout tensor
+ * \details The tensor sum is a reduction operation that finds the channel-wise (R sum / G sum / B sum) and total sum for each image in a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \param [in] srcPtr source tensor in HOST memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] tensorSumArr destination array in HOST memory
+ * \param [in] tensorSumArrLength length of provided destination array (Restrictions - if srcDescPtr->c == 1 then tensorSumArrLength >= srcDescPtr->n, and if srcDescPtr->c == 3 then tensorSumArrLength >= srcDescPtr->n * 4)
+ * \param [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 3840 and roiTensorSrc[i].xywhROI.roiHeight <= 2160)
+ * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
+ * \param [in] rppHandle RPP HOST handle created with <tt>\ref rppCreateWithBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
+ */
 RppStatus rppt_tensor_sum_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t tensorSumArr, Rpp32u tensorSumArrLength, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
+
 #ifdef GPU_SUPPORT
+/*! \brief Tensor sum operation on HIP backend for a NCHW/NHWC layout tensor
+ * \details The tensor sum is a reduction operation that finds the channel-wise (R sum / G sum / B sum) and total sum for each image in a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.<br>
+ * - srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
+ * - dstPtr depth ranges - Will be same depth as srcPtr.
+ * \param [in] srcPtr source tensor in HIP memory
+ * \param [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
+ * \param [out] tensorSumArr destination array in HIP memory
+ * \param [in] tensorSumArrLength length of provided destination array (Restrictions - if srcDescPtr->c == 1 then tensorSumArrLength >= srcDescPtr->n, and if srcDescPtr->c == 3 then tensorSumArrLength >= srcDescPtr->n * 4)
+ * \param [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 3840 and roiTensorSrc[i].xywhROI.roiHeight <= 2160)
+ * \param [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
+ * \param [in] rppHandle RPP HIP handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
+ * \return A <tt> \ref RppStatus</tt> enumeration.
+ * \retval RPP_SUCCESS Successful completion.
+ * \retval RPP_ERROR* Unsuccessful completion.
+ */
 RppStatus rppt_tensor_sum_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t tensorSumArr, Rpp32u tensorSumArrLength, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
 #endif // GPU_SUPPORT
 
+/*! @}
+ */
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/include/rppversion.h b/include/rppversion.h
index 4bfb6fa62..6d8d7588f 100644
--- a/include/rppversion.h
+++ b/include/rppversion.h
@@ -25,10 +25,9 @@ THE SOFTWARE.
 
 /*!
  * \file
- * \brief ROCm Performance Primitives(RPP) - Version.
- *
+ * \brief ROCm Performance Primitives (RPP) version
  * \defgroup group_rpp_version RPP Version
- * \brief ROCm Performance Primitives - Version
+ * \brief ROCm Performance Primitives (RPP) version
  */
 
 #include "rpp.h"
diff --git a/src/include/cl/rpp/util.hpp b/src/include/cl/rpp/util.hpp
deleted file mode 100644
index 9608d7661..000000000
--- a/src/include/cl/rpp/util.hpp
+++ /dev/null
@@ -1,41 +0,0 @@
-/*******************************************************************************
- *
- * MIT License
- *
- * Copyright (c) 2019 - 2023 Advanced Micro Devices, Inc.
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- *
- *******************************************************************************/
-#ifndef RPP_UTIL_HPP_
-#define RPP_UTIL_HPP_
-
-#include <rpp/common.hpp>
-#include <rpp.h>
-
-#include <boost/range/adaptors.hpp>
-
-namespace rpp {
-
-struct Handle;
-
-
-} // namespace rpp
-
-#endif // _RPP_UTIL_HPP_
diff --git a/src/include/common/rpp/binary_cache.hpp b/src/include/common/rpp/binary_cache.hpp
index 782bfcf0c..2c01e0e0f 100644
--- a/src/include/common/rpp/binary_cache.hpp
+++ b/src/include/common/rpp/binary_cache.hpp
@@ -28,21 +28,21 @@
 #define GUARD_RPP_BINARY_CACHE_HPP
 
 #include <string>
-#include <boost/filesystem/path.hpp>
+#include "filesystem.h"
 
 namespace rpp {
 
-boost::filesystem::path GetCacheFile(const std::string& device,
+fs::path GetCacheFile(const std::string& device,
                                      const std::string& name,
                                      const std::string& args,
                                      bool is_kernel_str);
 
-boost::filesystem::path GetCachePath();
+fs::path GetCachePath();
 std::string LoadBinary(const std::string& device,
                        const std::string& name,
                        const std::string& args,
                        bool is_kernel_str = false);
-void SaveBinary(const boost::filesystem::path& binary_path,
+void SaveBinary(const fs::path& binary_path,
                 const std::string& device,
                 const std::string& name,
                 const std::string& args,
diff --git a/src/include/common/rpp/handle.hpp b/src/include/common/rpp/handle.hpp
index 7dc29e49b..1084a8917 100644
--- a/src/include/common/rpp/handle.hpp
+++ b/src/include/common/rpp/handle.hpp
@@ -32,10 +32,8 @@
 #include <memory>
 #include <vector>
 #include <unordered_map>
-#include <boost/range/adaptor/transformed.hpp>
 
 #include "rpp.h"
-#include "config.h"
 #include "rppdefs.h"
 #include "rpp/common.hpp"
 #include "rpp/kernel.hpp"
diff --git a/src/include/common/rpp/handle_lock.hpp b/src/include/common/rpp/handle_lock.hpp
deleted file mode 100644
index 17c468d20..000000000
--- a/src/include/common/rpp/handle_lock.hpp
+++ /dev/null
@@ -1,110 +0,0 @@
-/*******************************************************************************
- *
- * MIT License
- *
- * Copyright (c) 2019 - 2023 Advanced Micro Devices, Inc.
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- *
- *******************************************************************************/
-
-#ifndef GUARD_RPP_HANDLE_LOCK_HPP
-#define GUARD_RPP_HANDLE_LOCK_HPP
-
-#include <mutex>
-#include <boost/interprocess/sync/file_lock.hpp>
-#include <boost/date_time/posix_time/posix_time.hpp>
-#include <boost/filesystem.hpp>
-#include <boost/filesystem/fstream.hpp>
-
-#include "config.h"
-#include "rpp/errors.hpp"
-
-namespace rpp {
-
-#define RPP_DECLARE_HANDLE_MUTEX(x)                               \
-    struct x                                                         \
-    {                                                                \
-        static const char* value() { return ".rpp-" #x ".lock"; } \
-    };
-
-#if RPP_GPU_SYNC
-RPP_DECLARE_HANDLE_MUTEX(gpu_handle_mutex)
-#define RPP_HANDLE_LOCK \
-    auto rpp_handle_lock_guard_##__LINE__ = rpp::get_handle_lock(rpp::gpu_handle_mutex{});
-#else
-#define RPP_HANDLE_LOCK
-#endif
-
-inline boost::filesystem::path get_handle_lock_path(const char* name)
-{
-    auto p = boost::filesystem::current_path() / name;
-    if(!boost::filesystem::exists(p))
-    {
-        auto tmp = boost::filesystem::current_path() / boost::filesystem::unique_path();
-        boost::filesystem::ofstream{tmp};
-        boost::filesystem::rename(tmp, p);
-    }
-    return p;
-}
-
-struct handle_mutex
-{
-    std::recursive_timed_mutex m;
-    boost::interprocess::file_lock flock;
-
-    handle_mutex(const char* name) : flock(name) {}
-
-    bool try_lock() { return std::try_lock(m, flock) != 0; }
-
-    void lock() { std::lock(m, flock); }
-
-    template <class Duration>
-    bool try_lock_for(Duration d)
-    {
-        return m.try_lock_for(d) &&
-               flock.timed_lock(
-                   boost::posix_time::second_clock::universal_time() +
-                   boost::posix_time::milliseconds(
-                       std::chrono::duration_cast<std::chrono::milliseconds>(d).count()));
-    }
-
-    template <class Point>
-    bool try_lock_until(Point p)
-    {
-        return m.try_lock_for(p - std::chrono::system_clock::now());
-    }
-
-    void unlock()
-    {
-        flock.unlock();
-        m.unlock();
-    }
-};
-
-template <class T>
-inline std::unique_lock<handle_mutex> get_handle_lock(T, int timeout = 120)
-{
-    static handle_mutex m{get_handle_lock_path(T::value()).c_str()};
-    return {m, std::chrono::seconds{timeout}};
-}
-
-} // namespace rpp
-
-#endif // GUARD_RPP_HANDLE_LOCK_HPP
diff --git a/src/include/common/rpp/hip_build_utils.hpp b/src/include/common/rpp/hip_build_utils.hpp
index 3cb5eadaa..87b00bd7f 100644
--- a/src/include/common/rpp/hip_build_utils.hpp
+++ b/src/include/common/rpp/hip_build_utils.hpp
@@ -25,18 +25,18 @@
 *******************************************************************************/
 #pragma once
 
-#include <boost/optional.hpp>
+#include <optional>
 
 #include "rpp/kernel.hpp"
 #include "rpp/tmp_dir.hpp"
 #include "rpp/write_file.hpp"
 
 namespace rpp {
-boost::filesystem::path HipBuild(boost::optional<rpp::TmpDir>& tmp_dir,
+fs::path HipBuild(std::optional<rpp::TmpDir>& tmp_dir,
                                  const std::string& filename,
                                  std::string src,
                                  std::string params,
                                  const std::string& dev_name);
 
-void bin_file_to_str(const boost::filesystem::path& file, std::string& buf);
+void bin_file_to_str(const fs::path& file, std::string& buf);
 } // namespace rpp
diff --git a/src/include/common/rpp/kernel.hpp b/src/include/common/rpp/kernel.hpp
index 5e3f07d51..72762de22 100644
--- a/src/include/common/rpp/kernel.hpp
+++ b/src/include/common/rpp/kernel.hpp
@@ -30,8 +30,6 @@
 #include <string>
 #include <vector>
 
-#include "config.h"
-
 #ifdef HIP_COMPILE
 
 #include "rpp/hipoc_kernel.hpp"
diff --git a/src/include/common/rpp/op_kernel_args.hpp b/src/include/common/rpp/op_kernel_args.hpp
index 83440676c..409fcf0b1 100644
--- a/src/include/common/rpp/op_kernel_args.hpp
+++ b/src/include/common/rpp/op_kernel_args.hpp
@@ -26,7 +26,6 @@ THE SOFTWARE.
 #include <cstdint>
 #include <half/half.hpp>
 
-#include <boost/container/small_vector.hpp>
 struct OpKernelArg
 {
 
@@ -49,6 +48,6 @@ struct OpKernelArg
     }
 
     std::size_t size() const { return buffer.size(); };
-    boost::container::small_vector<char, 8> buffer;
+    std::vector<char> buffer;
     bool is_ptr = false;
 };
diff --git a/src/include/common/rpp/tmp_dir.hpp b/src/include/common/rpp/tmp_dir.hpp
index 1f989202e..1bc42741e 100644
--- a/src/include/common/rpp/tmp_dir.hpp
+++ b/src/include/common/rpp/tmp_dir.hpp
@@ -24,7 +24,7 @@ THE SOFTWARE.
 #define GUARD_RPP_TMP_DIR_HPP
 
 #include <string>
-#include <boost/filesystem/path.hpp>
+#include "filesystem.h"
 
 namespace rpp {
 
@@ -32,7 +32,7 @@ void SystemCmd(std::string cmd);
 
 struct TmpDir
 {
-    boost::filesystem::path path;
+    fs::path path;
     TmpDir(std::string prefix);
 
     TmpDir(TmpDir const&) = delete;
diff --git a/src/include/common/rpp/write_file.hpp b/src/include/common/rpp/write_file.hpp
index 879545b6a..3fe4d4d16 100644
--- a/src/include/common/rpp/write_file.hpp
+++ b/src/include/common/rpp/write_file.hpp
@@ -24,7 +24,7 @@ THE SOFTWARE.
 #define GUARD_RPP_WRITE_FILE_HPP
 
 #include <fstream>
-#include <boost/filesystem.hpp>
+#include "filesystem.h"
 
 #include "rpp/manage_ptr.hpp"
 
@@ -32,7 +32,7 @@ namespace rpp {
 
 using FilePtr = RPP_MANAGE_PTR(FILE*, std::fclose);
 
-inline void WriteFile(const std::string& content, const boost::filesystem::path& name)
+inline void WriteFile(const std::string& content, const fs::path& name)
 {
     FilePtr f{std::fopen(name.string().c_str(), "w")};
     if(std::fwrite(content.c_str(), 1, content.size(), f.get()) != content.size())
diff --git a/src/include/cpu/rpp_cpu_common.hpp b/src/include/cpu/rpp_cpu_common.hpp
index 7bed48da3..fd411a19f 100644
--- a/src/include/cpu/rpp_cpu_common.hpp
+++ b/src/include/cpu/rpp_cpu_common.hpp
@@ -5044,6 +5044,20 @@ inline void compute_generic_nn_srclocs_and_validate_sse(__m128 pSrcY, __m128 pSr
     _mm_storeu_si128((__m128i*) srcLoc, pxSrcLoc);
 }
 
+inline void compute_generic_nn_srclocs_and_validate_avx(__m256 pSrcY, __m256 pSrcX, __m256 *pRoiLTRB, __m256 pSrcStrideH, Rpp32s *srcLoc, Rpp32s *invalidLoad, bool hasRGBChannels = false)
+{
+    pSrcY = _mm256_round_ps(pSrcY, (_MM_FROUND_TO_NEAREST_INT |_MM_FROUND_NO_EXC));              // Nearest Neighbor Y location vector
+    pSrcX = _mm256_round_ps(pSrcX, (_MM_FROUND_TO_NEAREST_INT |_MM_FROUND_NO_EXC));              // Nearest Neighbor X location vector
+    _mm256_storeu_si256((__m256i*) invalidLoad, _mm256_cvtps_epi32(_mm256_or_ps(                 // Vectorized ROI boundary check
+        _mm256_or_ps(_mm256_cmp_ps(pSrcX, pRoiLTRB[0], _CMP_LT_OQ), _mm256_cmp_ps(pSrcY, pRoiLTRB[1],_CMP_LT_OQ)),
+        _mm256_or_ps(_mm256_cmp_ps(pSrcX, pRoiLTRB[2], _CMP_GT_OQ), _mm256_cmp_ps(pSrcY, pRoiLTRB[3], _CMP_GT_OQ))
+    )));
+    if (hasRGBChannels)
+        pSrcX = _mm256_mul_ps(pSrcX, avx_p3);
+    __m256i pxSrcLoc = _mm256_cvtps_epi32(_mm256_fmadd_ps(pSrcY, pSrcStrideH, pSrcX));
+    _mm256_storeu_si256((__m256i*) srcLoc, pxSrcLoc);
+}
+
 template <typename T>
 inline void compute_generic_nn_interpolation_pkd3_to_pln3(Rpp32f srcY, Rpp32f srcX, RpptROI *roiLTRB, T *dstPtrTempR, T *dstPtrTempG, T *dstPtrTempB, T *srcPtrChannel, RpptDescPtr srcDescPtr)
 {
@@ -5253,7 +5267,7 @@ inline void compute_coefficient(RpptInterpolationType interpolationType, Rpp32f
 }
 
 // Computes the row coefficients for separable resampling
-inline void compute_row_coefficients(RpptInterpolationType interpolationType, Filter &filter , Rpp32f weight, Rpp32f *coeffs, Rpp32u srcStride = 1)
+inline void compute_row_coefficients(RpptInterpolationType interpolationType, GenericFilter &filter , Rpp32f weight, Rpp32f *coeffs, Rpp32u srcStride = 1)
 {
     Rpp32f sum = 0;
     weight = weight - filter.radius;
@@ -5271,7 +5285,7 @@ inline void compute_row_coefficients(RpptInterpolationType interpolationType, Fi
 }
 
 // Computes the column coefficients for separable resampling
-inline void compute_col_coefficients(RpptInterpolationType interpolationType, Filter &filter, Rpp32f weight, Rpp32f *coeffs, Rpp32u srcStride = 1)
+inline void compute_col_coefficients(RpptInterpolationType interpolationType, GenericFilter &filter, Rpp32f weight, Rpp32f *coeffs, Rpp32u srcStride = 1)
 {
     Rpp32f sum = 0;
     weight = weight - filter.radius;
@@ -5390,7 +5404,7 @@ inline void compute_src_row_ptrs_for_bilinear_interpolation_pln(T **rowPtrsForIn
 // Perform resampling along the rows
 template <typename T>
 inline void compute_separable_vertical_resample(T *inputPtr, Rpp32f *outputPtr, RpptDescPtr inputDescPtr, RpptDescPtr outputDescPtr,
-                                                RpptImagePatch inputImgSize, RpptImagePatch outputImgSize, Rpp32s *index, Rpp32f *coeffs, Filter &filter)
+                                                RpptImagePatch inputImgSize, RpptImagePatch outputImgSize, Rpp32s *index, Rpp32f *coeffs, GenericFilter &filter)
 {
 
     static constexpr Rpp32s maxNumLanes = 16;                                  // Maximum number of pixels that can be present in a vector for U8 type
@@ -5533,7 +5547,7 @@ inline void compute_separable_vertical_resample(T *inputPtr, Rpp32f *outputPtr,
 // Perform resampling along the columns
 template <typename T>
 inline void compute_separable_horizontal_resample(Rpp32f *inputPtr, T *outputPtr, RpptDescPtr inputDescPtr, RpptDescPtr outputDescPtr,
-                        RpptImagePatch inputImgSize, RpptImagePatch outputImgSize, Rpp32s *index, Rpp32f *coeffs, Filter &filter)
+                        RpptImagePatch inputImgSize, RpptImagePatch outputImgSize, Rpp32s *index, Rpp32f *coeffs, GenericFilter &filter)
 {
     static constexpr Rpp32s maxNumLanes = 16;                                   // Maximum number of pixels that can be present in a vector
     static constexpr Rpp32s numLanes = maxNumLanes / sizeof(T);                 // No of pixels that can be present in a vector wrt data type
diff --git a/src/include/cpu/rpp_cpu_simd.hpp b/src/include/cpu/rpp_cpu_simd.hpp
index 9bc52e925..00e4b69be 100644
--- a/src/include/cpu/rpp_cpu_simd.hpp
+++ b/src/include/cpu/rpp_cpu_simd.hpp
@@ -176,12 +176,16 @@ const __m128i xmm_char_maskG = _mm_setr_epi8(1, 4, 7, 10, 0x80, 0x80, 0x80, 0x80
 const __m128i xmm_char_maskB = _mm_setr_epi8(2, 5, 8, 11, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80);
 const __m128i xmm_pkd_mask = _mm_setr_epi8(0, 1, 2, 4, 5, 6, 8, 9, 10, 12, 13, 14, 0x80, 0x80, 0x80, 0x80);
 const __m128i xmm_store4_pkd_pixels = _mm_setr_epi8(0, 1, 8, 2, 3, 9, 4, 5, 10, 6, 7, 11, 0x80, 0x80, 0x80, 0x80);
+const __m256i avx_store8_pkd_pixels = _mm256_set_epi8(0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 23, 15, 14, 22, 13, 12, 21, 11, 10, 20, 9, 8, 19, 7, 6, 18, 5, 4, 17, 3, 2, 16, 1, 0);
 
 
 const __m128i xmm_pxStore4Pkd = _mm_setr_epi8(0, 4, 8, 1, 5, 9, 2, 6, 10, 3, 7, 11, 0x80, 0x80, 0x80, 0x80);
 const __m256i avx_pxPermPkd = _mm256_setr_epi32(0, 1, 2, 4, 5, 6, 7, 3);
 const __m256i avx_pxShufflePkd = _mm256_setr_m128(xmm_pxStore4Pkd, xmm_pxStore4Pkd);
 
+const __m128i xmm_pxMask00 = _mm_setr_epi8(0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0, 1, 2, 3);
+const __m128i xmm_pxMask04To11 = _mm_setr_epi8(4, 5, 6, 7, 8, 9, 10, 11, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80);
+
 // Print helpers
 
 inline void rpp_mm_print_epi8(__m128i vPrintArray)
@@ -195,6 +199,22 @@ inline void rpp_mm_print_epi8(__m128i vPrintArray)
     }
 }
 
+inline void rpp_storeu_si32(void *__p,
+                        	__m128i __b) {
+  struct __storeu_si32 {
+    int __v;
+  } __attribute__((__packed__, __may_alias__));
+  ((struct __storeu_si32 *)__p)->__v = ((__v4si)__b)[0];
+}
+
+inline void rpp_storeu_si64(void *__p,
+                            __m128i __b) {
+  struct __storeu_si64 {
+    long long __v;
+  } __attribute__((__packed__, __may_alias__));
+  ((struct __storeu_si64 *)__p)->__v = ((__v2di)__b)[0];
+}
+
 inline void rpp_mm_print_epi32(__m128i vPrintArray)
 {
     int printArray[4];
@@ -1343,19 +1363,30 @@ inline void rpp_load24_f32pln3_to_f32pln3_mirror_avx(Rpp32f *srcPtrR, Rpp32f *sr
 
 inline void rpp_store24_f32pln3_to_f32pkd3_avx(Rpp32f *dstPtr, __m256 *p)
 {
+    __m256 pTemp[4], pRow[4];
+    pTemp[0] = _mm256_shuffle_ps(p[0], p[1], 0x44); /* shuffle to get R01|R02|G01|G02|R05|R06|G05|G06 */
+    pTemp[2] = _mm256_shuffle_ps(p[0], p[1], 0xEE); /* shuffle to get R03|R04|G03|G04|R07|R08|G07|G08 */
+    pTemp[1] = _mm256_shuffle_ps(p[2], avx_p0, 0x44); /* shuffle to get B01|B02|00|00|B05|B06|00|00 */
+    pTemp[3] = _mm256_shuffle_ps(p[2], avx_p0, 0xEE); /* shuffle to get B03|B04|00|00|B07|B08|00|00 */
+    pRow[0] = _mm256_shuffle_ps(pTemp[0], pTemp[1], 0x88); /* shuffle to get R01|G01|B01|00|R05|G05|B05|00 */
+    pRow[1] = _mm256_shuffle_ps(pTemp[0], pTemp[1], 0xDD); /* shuffle to get R02|G02|B02|00|R06|G06|B05|00 */
+    pRow[2] = _mm256_shuffle_ps(pTemp[2], pTemp[3], 0x88); /* shuffle to get R03|G03|B03|00|R07|G07|B05|00 */
+    pRow[3] = _mm256_shuffle_ps(pTemp[2], pTemp[3], 0xDD); /* shuffle to get R04|G04|B04|00|R08|G08|B05|00 */
+
     __m128 p128[4];
-    p128[0] = _mm256_extractf128_ps(p[0], 0);
-    p128[1] = _mm256_extractf128_ps(p[1], 0);
-    p128[2] = _mm256_extractf128_ps(p[2], 0);
-    _MM_TRANSPOSE4_PS(p128[0], p128[1], p128[2], p128[3]);
+    p128[1] = _mm256_castps256_ps128(pRow[1]); /* get R01|G01|B01|00 */
+    p128[2] = _mm256_castps256_ps128(pRow[2]); /* get R02|G02|B02|00 */
+    p128[3] = _mm256_castps256_ps128(pRow[3]); /* get R03|G03|B03|00 */
+    p128[0] = _mm256_castps256_ps128(pRow[0]); /* get R04|G04|B04|00 */
     _mm_storeu_ps(dstPtr, p128[0]);
     _mm_storeu_ps(dstPtr + 3, p128[1]);
     _mm_storeu_ps(dstPtr + 6, p128[2]);
     _mm_storeu_ps(dstPtr + 9, p128[3]);
-    p128[0] = _mm256_extractf128_ps(p[0], 1);
-    p128[1] = _mm256_extractf128_ps(p[1], 1);
-    p128[2] = _mm256_extractf128_ps(p[2], 1);
-    _MM_TRANSPOSE4_PS(p128[0], p128[1], p128[2], p128[3]);
+
+    p128[0] = _mm256_extractf128_ps(pRow[0], 1); /* get R05|G05|B05|00 */
+    p128[1] = _mm256_extractf128_ps(pRow[1], 1); /* get R06|G06|B06|00 */
+    p128[2] = _mm256_extractf128_ps(pRow[2], 1); /* get R07|G07|B07|00 */
+    p128[3] = _mm256_extractf128_ps(pRow[3], 1); /* get R08|G08|B08|00 */
     _mm_storeu_ps(dstPtr + 12, p128[0]);
     _mm_storeu_ps(dstPtr + 15, p128[1]);
     _mm_storeu_ps(dstPtr + 18, p128[2]);
@@ -2330,6 +2361,29 @@ inline void rpp_generic_nn_load_u8pkd3(Rpp8u *srcPtrChannel, Rpp32s *srcLoc, Rpp
     p = _mm_shuffle_epi8(px[0], xmm_pkd_mask);    // Shuffle to obtain 4 RGB [R01|G01|B01|R11|G11|B11|R21|G21|B21|R31|G31|B31|00|00|00|00]
 }
 
+inline void rpp_generic_nn_load_u8pkd3_avx(Rpp8u *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m256i &p)
+{
+    __m128i px[7];
+    px[0] = invalidLoad[0] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[0]));  // LOC0 load [R01|G01|B01|R02|G02|B02|R03|G03|B03|R04|G04|B04|R05|G05|B05|R06] - Need RGB 01
+    px[1] = invalidLoad[1] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[1]));  // LOC1 load [R11|G11|B11|R12|G12|B12|R13|G13|B13|R14|G14|B14|R15|G15|B15|R16] - Need RGB 11
+    px[2] = invalidLoad[2] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[2]));  // LOC2 load [R21|G21|B21|R22|G22|B22|R23|G23|B23|R24|G24|B24|R25|G25|B25|R26] - Need RGB 21
+    px[3] = invalidLoad[3] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[3]));  // LOC3 load [R31|G31|B31|R32|G32|B32|R33|G33|B33|R34|G34|B34|R35|G35|B35|R36] - Need RGB 31
+    px[4] = _mm_unpacklo_epi64(_mm_unpacklo_epi32(px[0], px[1]), _mm_unpacklo_epi32(px[2], px[3]));    // Unpack to obtain [R01|G01|B01|R02|R11|G11|B11|R12|R21|G21|B21|R22|R31|G31|B31|R32]
+    px[4] = _mm_shuffle_epi8(px[4], xmm_pkd_mask); // shuffle to obtain 4 RGB [R01|G01|B01|R11|G11|B11|R21|G21|B21|R31|G31|B31|00|00|00|00]
+
+    px[0] = invalidLoad[4] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[4]));  // LOC4 load [R41|G41|B41|R42|G42|B42|R43|G43|B43|R44|G44|B44|R45|G45|B45|R46] - Need RGB 41
+    px[1] = invalidLoad[5] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[5]));  // LOC5 load [R51|G51|B51|R52|G52|B52|R53|G53|B53|R54|G54|B54|R55|G55|B55|R56] - Need RGB 51
+    px[2] = invalidLoad[6] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[6]));  // LOC6 load [R61|G61|B61|R62|G62|B62|R63|G63|B63|R64|G64|B64|R65|G65|B65|R66] - Need RGB 61
+    px[3] = invalidLoad[7] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[7]));  // LOC7 load [R71|G71|B71|R72|G72|B72|R73|G73|B73|R74|G74|B74|R75|G75|B75|R76] - Need RGB 71
+    px[5] = _mm_unpacklo_epi64(_mm_unpacklo_epi32(px[0], px[1]), _mm_unpacklo_epi32(px[2], px[3]));    // Unpack to obtain [R41|G41|B41|R42|R51|G51|B51|R52|R61|G61|B61|R62|R71|G71|B71|R72]
+    px[5] = _mm_shuffle_epi8(px[5], xmm_pkd_mask); // shuffle to obtain 4 RGB [R41|G41|B41|R51|G51|B51|R61|G61|B61|R71|G71|B71|00|00|00|00]
+
+    px[6] = _mm_shuffle_epi8(px[5], xmm_pxMask00); // shuffle to move 0-3 of px[5] to 12-15
+    px[4] = _mm_add_epi8(px[4], px[6]); // add px[4] and px[5]
+    px[5] = _mm_shuffle_epi8(px[5], xmm_pxMask04To11); // shuffle to move values at 4-11 of px[5] to 0-7
+    p = _mm256_setr_m128i(px[4], px[5]); // Merge to obtain 8 RGB [R01|G01|B01|R11|G11|B11|R21|G21|B21|R31|G31|B31|R41|G41|B41|R51|G51|B51|R61|G61|B61|R71|G71|B71|00|00|00|00|00|00|00|00]
+}
+
 inline void rpp_generic_nn_load_u8pln1(Rpp8u *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m128i &p)
 {
     __m128i px[4];
@@ -2342,6 +2396,18 @@ inline void rpp_generic_nn_load_u8pln1(Rpp8u *srcPtrChannel, Rpp32s *srcLoc, Rpp
     p = _mm_unpacklo_epi8(px[0], px[1]);    // unpack to obtain [R01|R11|R21|R31|00|00|00|00|00|00|00|00|00|00|00|00]
 }
 
+inline void rpp_generic_nn_load_u8pln1_avx(Rpp8u *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m256i &p)
+{
+    Rpp8u buffer[16] = {0};
+    for(int i = 0; i < 8; i++)
+    {
+        if(!invalidLoad[i])
+            buffer[i] = *(srcPtrChannel + srcLoc[i]);
+    }
+    __m128i px = _mm_loadu_si128((__m128i *)buffer);
+    p = _mm256_setr_m128i(px, xmm_px0);
+}
+
 inline void rpp_generic_nn_load_f32pkd3_to_f32pln3(Rpp32f *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m128 *p)
 {
     p[0] = invalidLoad[0] ? xmm_p0 : _mm_loadu_ps(srcPtrChannel + srcLoc[0]);  // LOC0 load [R01|G01|B01|R02] - Need RGB 01
@@ -2351,6 +2417,22 @@ inline void rpp_generic_nn_load_f32pkd3_to_f32pln3(Rpp32f *srcPtrChannel, Rpp32s
     _MM_TRANSPOSE4_PS(p[0], p[1], p[2], pTemp); // Transpose to obtain RGB in each vector
 }
 
+inline void rpp_generic_nn_load_f32pkd3_to_f32pln3_avx(Rpp32f *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m256 *p)
+{
+    p[0] = _mm256_setr_ps((!invalidLoad[0]) ? srcPtrChannel[srcLoc[0]]: 0, (!invalidLoad[1]) ? srcPtrChannel[srcLoc[1]]: 0,           // Get R01-R08. load the values from input using srcLoc buffer if invalidLoad is 0, else set the values to 0
+                          (!invalidLoad[2]) ? srcPtrChannel[srcLoc[2]]: 0, (!invalidLoad[3]) ? srcPtrChannel[srcLoc[3]]: 0,
+                          (!invalidLoad[4]) ? srcPtrChannel[srcLoc[4]]: 0, (!invalidLoad[5]) ? srcPtrChannel[srcLoc[5]]: 0,
+                          (!invalidLoad[6]) ? srcPtrChannel[srcLoc[6]]: 0, (!invalidLoad[7]) ? srcPtrChannel[srcLoc[7]]: 0);
+    p[1] = _mm256_setr_ps((!invalidLoad[0]) ? srcPtrChannel[srcLoc[0] + 1]: 0, (!invalidLoad[1]) ? srcPtrChannel[srcLoc[1] + 1]: 0,   // Get G01-R08. load the values from input using srcLoc buffer if invalidLoad is 0, else set the values to 0
+                          (!invalidLoad[2]) ? srcPtrChannel[srcLoc[2] + 1]: 0, (!invalidLoad[3]) ? srcPtrChannel[srcLoc[3] + 1]: 0,
+                          (!invalidLoad[4]) ? srcPtrChannel[srcLoc[4] + 1]: 0, (!invalidLoad[5]) ? srcPtrChannel[srcLoc[5] + 1]: 0,
+                          (!invalidLoad[6]) ? srcPtrChannel[srcLoc[6] + 1]: 0, (!invalidLoad[7]) ? srcPtrChannel[srcLoc[7] + 1]: 0);
+    p[2] = _mm256_setr_ps((!invalidLoad[0]) ? srcPtrChannel[srcLoc[0] + 2]: 0, (!invalidLoad[1]) ? srcPtrChannel[srcLoc[1] + 2]: 0,   // Get B01-R08. load the values from input using srcLoc buffer if invalidLoad is 0, else set the values to 0
+                          (!invalidLoad[2]) ? srcPtrChannel[srcLoc[2] + 2]: 0, (!invalidLoad[3]) ? srcPtrChannel[srcLoc[3] + 2]: 0,
+                          (!invalidLoad[4]) ? srcPtrChannel[srcLoc[4] + 2]: 0, (!invalidLoad[5]) ? srcPtrChannel[srcLoc[5] + 2]: 0,
+                          (!invalidLoad[6]) ? srcPtrChannel[srcLoc[6] + 2]: 0, (!invalidLoad[7]) ? srcPtrChannel[srcLoc[7] + 2]: 0);
+}
+
 inline void rpp_generic_nn_load_f32pkd3_to_f32pkd3(Rpp32f *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m128 *p)
 {
     p[0] = invalidLoad[0] ? xmm_p0 : _mm_loadu_ps(srcPtrChannel + srcLoc[0]);  // LOC0 load [R01|G01|B01|R02] - Need RGB 01
@@ -2359,6 +2441,22 @@ inline void rpp_generic_nn_load_f32pkd3_to_f32pkd3(Rpp32f *srcPtrChannel, Rpp32s
     p[3] = invalidLoad[3] ? xmm_p0 : _mm_loadu_ps(srcPtrChannel + srcLoc[3]);  // LOC2 load [R31|G31|B31|R32] - Need RGB 31
 }
 
+inline void rpp_generic_nn_load_f32pkd3_to_f32pkd3_avx(Rpp32f *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m256 *p)
+{
+    p[0] = _mm256_setr_ps((!invalidLoad[0]) ? srcPtrChannel[srcLoc[0]]: 0, (!invalidLoad[0]) ? srcPtrChannel[srcLoc[0] + 1]: 0,        // Get R01|G01|B01|R02|B02|G02|R03|G03
+                          (!invalidLoad[0]) ? srcPtrChannel[srcLoc[0] + 2]: 0, (!invalidLoad[1]) ? srcPtrChannel[srcLoc[1]]: 0,        // load the values from input using srcLoc buffer if invalidLoad is 0, else set the values to 0
+                          (!invalidLoad[1]) ? srcPtrChannel[srcLoc[1] + 1]: 0, (!invalidLoad[1]) ? srcPtrChannel[srcLoc[1] + 2]: 0,
+                          (!invalidLoad[2]) ? srcPtrChannel[srcLoc[2]]: 0, (!invalidLoad[2]) ? srcPtrChannel[srcLoc[2] + 1]: 0);
+    p[1] = _mm256_setr_ps((!invalidLoad[2]) ? srcPtrChannel[srcLoc[2] + 2]: 0, (!invalidLoad[3]) ? srcPtrChannel[srcLoc[3]]: 0,        // Get B03|R04|G04|B04|R05|G05|B05|R06
+                          (!invalidLoad[3]) ? srcPtrChannel[srcLoc[3] + 1]: 0, (!invalidLoad[3]) ? srcPtrChannel[srcLoc[3] + 2]: 0,    // load the values from input using srcLoc buffer if invalidLoad is 0, else set the values to 0
+                          (!invalidLoad[4]) ? srcPtrChannel[srcLoc[4]]: 0, (!invalidLoad[4]) ? srcPtrChannel[srcLoc[4] + 1]: 0,
+                          (!invalidLoad[4]) ? srcPtrChannel[srcLoc[4] + 2]: 0, (!invalidLoad[5]) ? srcPtrChannel[srcLoc[5]]: 0);
+    p[2] = _mm256_setr_ps((!invalidLoad[5]) ? srcPtrChannel[srcLoc[5] + 1]: 0, (!invalidLoad[5]) ? srcPtrChannel[srcLoc[5] + 2]: 0,    // Get G06|B06|R07|G07|B07|R08|G08|B08
+                          (!invalidLoad[6]) ? srcPtrChannel[srcLoc[6]]: 0, (!invalidLoad[6]) ? srcPtrChannel[srcLoc[6] + 1]: 0,        // load the values from input using srcLoc buffer if invalidLoad is 0, else set the values to 0
+                          (!invalidLoad[6]) ? srcPtrChannel[srcLoc[6] + 2]: 0, (!invalidLoad[7]) ? srcPtrChannel[srcLoc[7]]: 0,
+                          (!invalidLoad[7]) ? srcPtrChannel[srcLoc[7] + 1]: 0, (!invalidLoad[7]) ? srcPtrChannel[srcLoc[7] + 2]: 0);
+}
+
 inline void rpp_generic_nn_load_f32pln1(Rpp32f *srcPtrChanel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m128 &p)
 {
     __m128 pTemp[4];
@@ -2371,6 +2469,17 @@ inline void rpp_generic_nn_load_f32pln1(Rpp32f *srcPtrChanel, Rpp32s *srcLoc, Rp
     p = _mm_unpacklo_ps(pTemp[0], pTemp[1]);    // Unpack to obtain [R01|R11|R21|R31]
 }
 
+inline void rpp_generic_nn_load_f32pln1_avx(Rpp32f *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m256 &p)
+{
+    __m256i pxLoadMask = _mm256_setr_epi32((!invalidLoad[0]) ? 0x80000000 : 0, (!invalidLoad[1]) ? 0x80000000 : 0,  // Set MSB of 32 bit value to 1 if invalidLoad value is 0
+                                          (!invalidLoad[2]) ? 0x80000000 : 0, (!invalidLoad[3]) ? 0x80000000 : 0,
+                                          (!invalidLoad[4]) ? 0x80000000 : 0, (!invalidLoad[5]) ? 0x80000000 : 0,
+                                          (!invalidLoad[6]) ? 0x80000000 : 0, (!invalidLoad[7]) ? 0x80000000 : 0);
+    __m256i pxSrcLoc = _mm256_loadu_si256((__m256i *)srcLoc);   // Load the source location values passed
+    __m256 pSrcLoc = _mm256_castsi256_ps(pxSrcLoc);   // cast to float
+    p = _mm256_mask_i32gather_ps(avx_p0, srcPtrChannel, pSrcLoc, pxLoadMask, 4);   // if the MSB of 32 bit value is set, then load from corresponding location value in pSrcLoc. Otherwise set the 32 bit value to 0
+}
+
 inline void rpp_generic_nn_load_i8pkd3(Rpp8s *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m128i &p)
 {
     __m128i px[4];
@@ -2382,6 +2491,29 @@ inline void rpp_generic_nn_load_i8pkd3(Rpp8s *srcPtrChannel, Rpp32s *srcLoc, Rpp
     p = _mm_shuffle_epi8(px[0], xmm_pkd_mask);    // Shuffle to obtain 4 RGB [R01|G01|B01|R11|G11|B11|R21|G21|B21|R31|G31|B31|00|00|00|00]
 }
 
+inline void rpp_generic_nn_load_i8pkd3_avx(Rpp8s *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m256i &p)
+{
+    __m128i px[7];
+    px[0] = invalidLoad[0] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[0]));  // LOC0 load [R01|G01|B01|R02|G02|B02|R03|G03|B03|R04|G04|B04|R05|G05|B05|R06] - Need RGB 01
+    px[1] = invalidLoad[1] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[1]));  // LOC1 load [R11|G11|B11|R12|G12|B12|R13|G13|B13|R14|G14|B14|R15|G15|B15|R16] - Need RGB 11
+    px[2] = invalidLoad[2] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[2]));  // LOC2 load [R21|G21|B21|R22|G22|B22|R23|G23|B23|R24|G24|B24|R25|G25|B25|R26] - Need RGB 21
+    px[3] = invalidLoad[3] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[3]));  // LOC3 load [R31|G31|B31|R32|G32|B32|R33|G33|B33|R34|G34|B34|R35|G35|B35|R36] - Need RGB 31
+    px[4] = _mm_unpacklo_epi64(_mm_unpacklo_epi32(px[0], px[1]), _mm_unpacklo_epi32(px[2], px[3]));    // Unpack to obtain [R01|G01|B01|R02|R11|G11|B11|R12|R21|G21|B21|R22|R31|G31|B31|R32]
+    px[4] = _mm_shuffle_epi8(px[4], xmm_pkd_mask); // shuffle to obtain 4 RGB [R01|G01|B01|R11|G11|B11|R21|G21|B21|R31|G31|B31|00|00|00|00]
+
+    px[0] = invalidLoad[4] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[4]));  // LOC4 load [R41|G41|B41|R42|G42|B42|R43|G43|B43|R44|G44|B44|R45|G45|B45|R46] - Need RGB 41
+    px[1] = invalidLoad[5] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[5]));  // LOC5 load [R51|G51|B51|R52|G52|B52|R53|G53|B53|R54|G54|B54|R55|G55|B55|R56] - Need RGB 51
+    px[2] = invalidLoad[6] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[6]));  // LOC6 load [R61|G61|B61|R62|G62|B62|R63|G63|B63|R64|G64|B64|R65|G65|B65|R66] - Need RGB 61
+    px[3] = invalidLoad[7] ? xmm_px0 : _mm_loadu_si128((__m128i *)(srcPtrChannel + srcLoc[7]));  // LOC7 load [R71|G71|B71|R72|G72|B72|R73|G73|B73|R74|G74|B74|R75|G75|B75|R76] - Need RGB 71
+    px[5] = _mm_unpacklo_epi64(_mm_unpacklo_epi32(px[0], px[1]), _mm_unpacklo_epi32(px[2], px[3]));    // Unpack to obtain [R41|G41|B41|R42|R51|G51|B51|R52|R61|G61|B61|R62|R71|G71|B71|R72]
+    px[5] = _mm_shuffle_epi8(px[5], xmm_pkd_mask); // shuffle to obtain 4 RGB [R41|G41|B41|R51|G51|B51|R61|G61|B61|R71|G71|B71|00|00|00|00]
+
+    px[6] = _mm_shuffle_epi8(px[5], xmm_pxMask00); // shuffle to move 0-3 of px[5] to 12-15
+    px[4] = _mm_add_epi8(px[4], px[6]); // add px[4] and px[5]
+    px[5] = _mm_shuffle_epi8(px[5], xmm_pxMask04To11); // shuffle to move values at 4-11 of px[5] to 0-7
+    p = _mm256_setr_m128i(px[4], px[5]); // Merge to obtain 8 RGB [R01|G01|B01|R11|G11|B11|R21|G21|B21|R31|G31|B31|R41|G41|B41|R51|G51|B51|R61|G61|B61|R71|G71|B71|00|00|00|00|00|00|00|00]
+}
+
 inline void rpp_generic_nn_load_i8pln1(Rpp8s *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m128i &p)
 {
     __m128i px[4];
@@ -2394,6 +2526,18 @@ inline void rpp_generic_nn_load_i8pln1(Rpp8s *srcPtrChannel, Rpp32s *srcLoc, Rpp
     p = _mm_unpacklo_epi8(px[0], px[1]);    // unpack to obtain [R01|R11|R21|R31|00|00|00|00|00|00|00|00|00|00|00|00]
 }
 
+inline void rpp_generic_nn_load_i8pln1_avx(Rpp8s *srcPtrChannel, Rpp32s *srcLoc, Rpp32s *invalidLoad, __m256i &p)
+{
+    Rpp8s buffer[16] = {0};
+    for(int i = 0; i < 8; i++)
+    {
+        if(!invalidLoad[i])
+            buffer[i] = *(srcPtrChannel + srcLoc[i]);
+    }
+    __m128i px = _mm_loadu_si128((__m128i *)buffer);
+    p = _mm256_setr_m128i(px, xmm_px0);
+}
+
 inline void rpp_generic_bilinear_load_mask_avx(__m256 &pSrcY, __m256 &pSrcX, __m256 *pRoiLTRB, Rpp32s *invalidLoadMask)
 {
     _mm256_storeu_si256((__m256i*) invalidLoadMask, _mm256_cvtps_epi32(_mm256_or_ps(                                    // Vectorized ROI boundary check for 8 locations
@@ -3265,9 +3409,45 @@ inline void rpp_resize_nn_load_i8pln1(Rpp8s *srcRowPtrsForInterp, Rpp32s *loc, _
 
 inline void rpp_store12_u8pkd3_to_u8pln3(Rpp8u* dstPtrR, Rpp8u* dstPtrG, Rpp8u* dstPtrB, __m128i &p)
 {
-    _mm_storeu_si128((__m128i *)(dstPtrR), _mm_shuffle_epi8(p, xmm_char_maskR)); /* Shuffle and extract the R pixels*/
-    _mm_storeu_si128((__m128i *)(dstPtrG), _mm_shuffle_epi8(p, xmm_char_maskG)); /* Shuffle and extract the G pixels*/
-    _mm_storeu_si128((__m128i *)(dstPtrB), _mm_shuffle_epi8(p, xmm_char_maskB)); /* Shuffle and extract the B pixels*/
+    rpp_storeu_si32((__m128i *)(dstPtrR), _mm_shuffle_epi8(p, xmm_char_maskR)); /* Shuffle and extract the R pixels*/
+    rpp_storeu_si32((__m128i *)(dstPtrG), _mm_shuffle_epi8(p, xmm_char_maskG)); /* Shuffle and extract the G pixels*/
+    rpp_storeu_si32((__m128i *)(dstPtrB), _mm_shuffle_epi8(p, xmm_char_maskB)); /* Shuffle and extract the B pixels*/
+}
+
+inline void rpp_store24_u8pkd3_to_u8pln3_avx(Rpp8u* dstPtrR, Rpp8u* dstPtrG, Rpp8u* dstPtrB, __m256i &p)
+{
+    __m128i p128[2];
+    p128[0] = _mm256_castsi256_si128(p); /* R01|G01|B01|R11|G11|B11|R21|G21|B21|R31|G31|B31|R41|G41|B41|R51 */
+    rpp_storeu_si32((__m128i *)(dstPtrR), _mm_shuffle_epi8(p128[0], xmm_char_maskR)); /* shuffle to get R01-R04*/
+    rpp_storeu_si32((__m128i *)(dstPtrG), _mm_shuffle_epi8(p128[0], xmm_char_maskG)); /* shuffle to get G01-G04*/
+    rpp_storeu_si32((__m128i *)(dstPtrB), _mm_shuffle_epi8(p128[0], xmm_char_maskB)); /* shuffle to get B01-B04*/
+
+    p128[1] = _mm256_extractf128_si256(p, 1); /* G51|B51|R61|G61|B61|R71|G71|B71|00|00|00|00|00|00|00|00 */
+    const __m128i shuffleMask = _mm_setr_epi8(12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 0x80, 0x80, 0x80, 0x80);
+    p128[0] = _mm_unpackhi_epi64(p128[0], xmm_p0); /* B21|R31|G31|B31|R41|G41|B41|R51|00|00|00|00|00|00|00|00 */
+    p128[1] = _mm_unpacklo_epi64(p128[1], p128[0]); /* G51|B51|R61|G61|B61|R71|G71|B71|B21|R31|G31|B31|R41|G41|B41|R51 */
+    p128[1] = _mm_shuffle_epi8(p128[1], shuffleMask); /* R41|G41|B41|R51|G51|B51|R61|G61|B61|R71|G71|B71|00|00|00|00 */
+    rpp_storeu_si32((__m128i *)(dstPtrR + 4), _mm_shuffle_epi8(p128[1], xmm_char_maskR)); /* shuffle to get R05-R08*/
+    rpp_storeu_si32((__m128i *)(dstPtrG + 4), _mm_shuffle_epi8(p128[1], xmm_char_maskG)); /* shuffle to get G05-G08*/
+    rpp_storeu_si32((__m128i *)(dstPtrB + 4), _mm_shuffle_epi8(p128[1], xmm_char_maskB)); /* shuffle to get B05-B08*/
+}
+
+inline void rpp_store24_i8pkd3_to_i8pln3_avx(Rpp8s* dstPtrR, Rpp8s* dstPtrG, Rpp8s* dstPtrB, __m256i &p)
+{
+    __m128i p128[2];
+    p128[0] = _mm256_castsi256_si128(p); /* R01|G01|B01|R11|G11|B11|R21|G21|B21|R31|G31|B31|R41|G41|B41|R51 */
+    rpp_storeu_si32((__m128i *)(dstPtrR), _mm_shuffle_epi8(p128[0], xmm_char_maskR)); /* shuffle to get R01-R04*/
+    rpp_storeu_si32((__m128i *)(dstPtrG), _mm_shuffle_epi8(p128[0], xmm_char_maskG)); /* shuffle to get G01-G04*/
+    rpp_storeu_si32((__m128i *)(dstPtrB), _mm_shuffle_epi8(p128[0], xmm_char_maskB)); /* shuffle to get B01-B04*/
+
+    p128[1] = _mm256_extractf128_si256(p, 1); /* G51|B51|R61|G61|B61|R71|G71|B71|00|00|00|00|00|00|00|00 */
+    const __m128i shuffleMask = _mm_setr_epi8(12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 0x80, 0x80, 0x80, 0x80);
+    p128[0] = _mm_unpackhi_epi64(p128[0], xmm_p0); /* B21|R31|G31|B31|R41|G41|B41|R51|00|00|00|00|00|00|00|00 */
+    p128[1] = _mm_unpacklo_epi64(p128[1], p128[0]); /* G51|B51|R61|G61|B61|R71|G71|B71|B21|R31|G31|B31|R41|G41|B41|R51 */
+    p128[1] = _mm_shuffle_epi8(p128[1], shuffleMask); /* R41|G41|B41|R51|G51|B51|R61|G61|B61|R71|G71|B71|00|00|00|00 */
+    rpp_storeu_si32((__m128i *)(dstPtrR + 4), _mm_shuffle_epi8(p128[1], xmm_char_maskR)); /* shuffle to get R05-R08*/
+    rpp_storeu_si32((__m128i *)(dstPtrG + 4), _mm_shuffle_epi8(p128[1], xmm_char_maskG)); /* shuffle to get G05-G08*/
+    rpp_storeu_si32((__m128i *)(dstPtrB + 4), _mm_shuffle_epi8(p128[1], xmm_char_maskB)); /* shuffle to get B05-B08*/
 }
 
 inline void rpp_store4_u8_to_u8(Rpp8u* dstPtr, __m128i &p)
@@ -3275,6 +3455,28 @@ inline void rpp_store4_u8_to_u8(Rpp8u* dstPtr, __m128i &p)
     _mm_storeu_si128((__m128i *)(dstPtr), p);
 }
 
+inline void rpp_store24_u8_to_u8_avx(Rpp8u* dstPtr, __m256i &p)
+{
+    _mm256_storeu_si256((__m256i *)(dstPtr), p);
+}
+
+inline void rpp_store24_i8_to_i8_avx(Rpp8s* dstPtr, __m256i &p)
+{
+    _mm256_storeu_si256((__m256i *)(dstPtr), p);
+}
+
+inline void rpp_store8_u8pln1_to_u8pln1_avx(Rpp8u* dstPtr, __m256i &p)
+{
+    __m128i pTemp = _mm256_castsi256_si128(p);
+    rpp_storeu_si64((__m128i *)(dstPtr), pTemp);
+}
+
+inline void rpp_store8_i8pln1_to_i8pln1(Rpp8s* dstPtr, __m256i &p)
+{
+    __m128i pTemp = _mm256_castsi256_si128(p);
+    rpp_storeu_si64((__m128i *)(dstPtr), pTemp);
+}
+
 inline void rpp_store12_u8pln3_to_u8pkd3(Rpp8u* dstPtr, __m128i *p)
 {
     __m128i px[4];
@@ -3283,11 +3485,27 @@ inline void rpp_store12_u8pln3_to_u8pkd3(Rpp8u* dstPtr, __m128i *p)
     _mm_storeu_si128((__m128i *)(dstPtr), _mm_shuffle_epi8(px[1], xmm_store4_pkd_pixels));
 }
 
+inline void rpp_store24_u8pln3_to_u8pkd3_avx(Rpp8u* dstPtr, __m256i *p)
+{
+    __m128i px[5];
+    px[0] = _mm256_castsi256_si128(p[0]);            /* R01|R11|R21|R31|R41|R51|R61|R71|00|00|00|00|00|00|00|00] */
+    px[1] = _mm256_castsi256_si128(p[1]);            /* G01|G11|G21|G31|G41|G51|G61|G71|00|00|00|00|00|00|00|00] */
+    px[2] = _mm256_castsi256_si128(p[2]);            /* B01|B11|B21|B31|B41|B51|B61|B71|00|00|00|00|00|00|00|00] */
+
+    px[3] = _mm_unpacklo_epi8(px[0], px[1]);         /* unpack as R01|G01|R11|G11|R21|G21|R31|G31|R41|G41|R51|G51|R61|G61|R71|G71 */
+    px[4] = _mm_unpacklo_epi64(px[3], px[2]);        /* unpack as R01|G01|R11|G11|R21|G21|R31|G31|B01|B11|B21|B31|B41|B51|B61|B71 */
+    _mm_storeu_si128((__m128i *)(dstPtr), _mm_shuffle_epi8(px[4], xmm_store4_pkd_pixels)); /* shuffle to get RGB 00-03 */
+
+    const __m128i xmm_shuffle_mask = _mm_setr_epi8(0, 1, 12, 2, 3, 13, 4, 5, 14, 6, 7, 15, 0x80, 0x80, 0x80, 0x80);
+    px[4] = _mm_unpackhi_epi64(px[3], px[4]);        /* unpack as R41|G41|R51|G51|R61|G61|R71|G71|B01|B11|B21|B31|B41|B51|B61|B71] */
+    _mm_storeu_si128((__m128i *)(dstPtr + 12), _mm_shuffle_epi8(px[4], xmm_shuffle_mask)); /* shuffle to get RGB 04-07 */
+}
+
 inline void rpp_store12_i8pkd3_to_i8pln3(Rpp8s* dstPtrR, Rpp8s* dstPtrG, Rpp8s* dstPtrB, __m128i &p)
 {
-    _mm_storeu_si128((__m128i *)(dstPtrR), _mm_shuffle_epi8(p, xmm_char_maskR)); /* Shuffle and extract the R pixels*/
-    _mm_storeu_si128((__m128i *)(dstPtrG), _mm_shuffle_epi8(p, xmm_char_maskG)); /* Shuffle and extract the G pixels*/
-    _mm_storeu_si128((__m128i *)(dstPtrB), _mm_shuffle_epi8(p, xmm_char_maskB)); /* Shuffle and extract the B pixels*/
+    rpp_storeu_si32((__m128i *)(dstPtrR), _mm_shuffle_epi8(p, xmm_char_maskR)); /* Shuffle and extract the R pixels*/
+    rpp_storeu_si32((__m128i *)(dstPtrG), _mm_shuffle_epi8(p, xmm_char_maskG)); /* Shuffle and extract the G pixels*/
+    rpp_storeu_si32((__m128i *)(dstPtrB), _mm_shuffle_epi8(p, xmm_char_maskB)); /* Shuffle and extract the B pixels*/
 }
 
 inline void rpp_store4_i8_to_i8(Rpp8s* dstPtr, __m128i &p)
@@ -3303,6 +3521,22 @@ inline void rpp_store12_i8pln3_to_i8pkd3(Rpp8s* dstPtr, __m128i *p)
     _mm_storeu_si128((__m128i *)(dstPtr), _mm_shuffle_epi8(px[1], xmm_store4_pkd_pixels));
 }
 
+inline void rpp_store24_i8pln3_to_i8pkd3_avx(Rpp8s* dstPtr, __m256i *p)
+{
+    __m128i px[5];
+    px[0] = _mm256_castsi256_si128(p[0]);            // [R01|R11|R21|R31|R41|R51|R61|R71|00|00|00|00|00|00|00|00]
+    px[1] = _mm256_castsi256_si128(p[1]);            // [G01|G11|G21|G31|G41|G51|G61|G71|00|00|00|00|00|00|00|00]
+    px[2] = _mm256_castsi256_si128(p[2]);            // [B01|B11|B21|B31|B41|B51|B61|B71|00|00|00|00|00|00|00|00]
+
+    px[3] = _mm_unpacklo_epi8(px[0], px[1]);         // [R01|G01|R11|G11|R21|G21|R31|G31|R41|G41|R51|G51|R61|G61|R71|G71]
+    px[4] = _mm_unpacklo_epi64(px[3], px[2]);        // [R01|G01|R11|G11|R21|G21|R31|G31|B01|B11|B21|B31|B41|B51|B61|B71]
+    _mm_storeu_si128((__m128i *)(dstPtr), _mm_shuffle_epi8(px[4], xmm_store4_pkd_pixels)); // shuffle to get RGB 00-03
+
+    const __m128i xmm_shuffle_mask = _mm_setr_epi8(0, 1, 12, 2, 3, 13, 4, 5, 14, 6, 7, 15, 0x80, 0x80, 0x80, 0x80);
+    px[4] = _mm_unpackhi_epi64(px[3], px[4]);        // [R41|G41|R51|G51|R61|G61|R71|G71|B01|B11|B21|B31|B41|B51|B61|B71]
+    _mm_storeu_si128((__m128i *)(dstPtr + 12), _mm_shuffle_epi8(px[4], xmm_shuffle_mask)); // shuffle to get RGB 04-07
+}
+
 inline void rpp_store12_f32pkd3_to_f32pkd3(Rpp32f* dstPtr, __m128 *p)
 {
     _mm_storeu_ps(dstPtr, p[0]); /* Store RGB set 1 */
@@ -3311,4 +3545,11 @@ inline void rpp_store12_f32pkd3_to_f32pkd3(Rpp32f* dstPtr, __m128 *p)
     _mm_storeu_ps(dstPtr + 9, p[3]); /* Store RGB set 4 */
 }
 
+inline void rpp_store24_f32pkd3_to_f32pkd3_avx(Rpp32f* dstPtr, __m256 *p)
+{
+    _mm256_storeu_ps(dstPtr, p[0]); /* Store RGB set 1 */
+    _mm256_storeu_ps(dstPtr + 8, p[1]); /* Store RGB set 2 */
+    _mm256_storeu_ps(dstPtr + 16, p[2]); /* Store RGB set 3 */
+}
+
 #endif //AMD_RPP_RPP_CPU_SIMD_HPP
\ No newline at end of file
diff --git a/src/include/hip/rpp/hip_kernels.hpp b/src/include/hip/rpp/hip_kernels.hpp
index c67102b2a..623be303e 100644
--- a/src/include/hip/rpp/hip_kernels.hpp
+++ b/src/include/hip/rpp/hip_kernels.hpp
@@ -23,6 +23,8 @@ THE SOFTWARE.
 #ifndef HIP_KERNELS_H
 #define HIP_KERNELS_H
 
+#include <map>
+
 // color_model_conversions
 extern "C" __global__ void channel_extract_pln(unsigned char* input, unsigned char* output, const unsigned int height, const unsigned int width, const unsigned int channel, const unsigned int extractChannelNumber);
 extern "C" __global__ void channel_extract_pkd(unsigned char* input, unsigned char* output, const unsigned int height, const unsigned int width, const unsigned int channel, const unsigned int extractChannelNumber);
diff --git a/src/include/hip/rpp/hipoc_program.hpp b/src/include/hip/rpp/hipoc_program.hpp
index 7579cb035..6e56569ee 100644
--- a/src/include/hip/rpp/hipoc_program.hpp
+++ b/src/include/hip/rpp/hipoc_program.hpp
@@ -27,9 +27,8 @@
 #define GUARD_RPP_HIPOC_PROGRAM_HPP
 
 #include <string>
-#include <boost/filesystem/path.hpp>
 #include <hip/hip_runtime_api.h>
-
+#include "filesystem.h"
 #include "rpp/manage_ptr.hpp"
 
 namespace rpp {
@@ -44,10 +43,10 @@ struct HIPOCProgram
                  bool is_kernel_str,
                  std::string dev_name,
                  const std::string& kernel_src);
-    HIPOCProgram(const std::string& program_name, const boost::filesystem::path& hsaco);
+    HIPOCProgram(const std::string& program_name, const fs::path& hsaco);
     std::shared_ptr<const HIPOCProgramImpl> impl;
     hipModule_t GetModule() const;
-    boost::filesystem::path GetBinary() const;
+    fs::path GetBinary() const;
 };
 } // namespace rpp
 
diff --git a/src/modules/CMakeLists.txt b/src/modules/CMakeLists.txt
index b1ab0d0a0..161fe6880 100644
--- a/src/modules/CMakeLists.txt
+++ b/src/modules/CMakeLists.txt
@@ -123,6 +123,8 @@ elseif( "${BACKEND}" STREQUAL "CPU")
     set_source_files_properties(rppt_tensor_audio_augmentations.cpp PROPERTIES COMPILE_FLAGS -mno-fma)
 endif()
 message("-- ${White}AMD RPP ${PROJECT_NAME} -- Include Directories:${INCLUDE_LIST}${ColourReset}")
+add_compile_options("-Wno-unused-result")
+
 # Kernels and includes additions
 
 add_kernels("${RPP_KERNELS}")
@@ -155,4 +157,4 @@ elseif( "${BACKEND}" STREQUAL "OCL")
     PRIVATE
         ${CMAKE_SOURCE_DIR}/src/include/cl
     )
-endif()
\ No newline at end of file
+endif()
diff --git a/src/modules/binary_cache.cpp b/src/modules/binary_cache.cpp
index dcd03b4ba..c1f7ccc39 100644
--- a/src/modules/binary_cache.cpp
+++ b/src/modules/binary_cache.cpp
@@ -26,8 +26,7 @@
 
 #include <fstream>
 #include <iostream>
-#include <boost/filesystem.hpp>
-
+#include "filesystem.h"
 #include "rpp.h"
 #include "rppversion.h"
 #include "rpp/binary_cache.hpp"
@@ -40,7 +39,7 @@ namespace rpp {
 
 RPP_DECLARE_ENV_VAR(RPP_DISABLE_CACHE)
 
-boost::filesystem::path ComputeCachePath()
+fs::path ComputeCachePath()
 {
 #ifdef RPP_CACHE_DIR
     std::string cache_dir = RPP_CACHE_DIR;
@@ -49,9 +48,9 @@ boost::filesystem::path ComputeCachePath()
                           std::to_string(RPP_VERSION_MINOR) + "." +
                           std::to_string(RPP_VERSION_PATCH);
 
-    auto p = boost::filesystem::path{cache_dir} / version;
-    if(!boost::filesystem::exists(p))
-        boost::filesystem::create_directories(p);
+    auto p = fs::path{cache_dir} / version;
+    if(!fs::exists(p))
+        fs::create_directories(p);
     // auto p = cache_dir;
     //std::cerr<<"\n cache_dir"<<cache_dir;
     return p;
@@ -60,9 +59,9 @@ boost::filesystem::path ComputeCachePath()
 #endif
 }
 
-boost::filesystem::path GetCachePath()
+fs::path GetCachePath()
 {
-    static const boost::filesystem::path path = ComputeCachePath();
+    static const fs::path path = ComputeCachePath();
     return path;
 }
 
@@ -77,7 +76,7 @@ bool IsCacheDisabled()
 #endif
 }
 
-boost::filesystem::path GetCacheFile(const std::string& device,
+fs::path GetCacheFile(const std::string& device,
                                      const std::string& name,
                                      const std::string& args,
                                      bool is_kernel_str)
@@ -96,7 +95,7 @@ std::string LoadBinary(const std::string& device,
     if(rpp::IsCacheDisabled())
         return {};
     auto f = GetCacheFile(device, name, args, is_kernel_str);
-    if(boost::filesystem::exists(f))
+    if(fs::exists(f))
     {
         return f.string();
     }
@@ -105,7 +104,7 @@ std::string LoadBinary(const std::string& device,
         return {};
     }
 }
-void SaveBinary(const boost::filesystem::path& binary_path,
+void SaveBinary(const fs::path& binary_path,
                 const std::string& device,
                 const std::string& name,
                 const std::string& args,
@@ -113,13 +112,13 @@ void SaveBinary(const boost::filesystem::path& binary_path,
 {
     if(rpp::IsCacheDisabled())
     {
-        boost::filesystem::remove(binary_path);
+        fs::remove(binary_path);
     }
     else
     {
         auto p = GetCacheFile(device, name, args, is_kernel_str);
-        boost::filesystem::create_directories(p.parent_path());
-        boost::filesystem::rename(binary_path, p);
+        fs::create_directories(p.parent_path());
+        fs::rename(binary_path, p);
     }
 }
 
diff --git a/src/modules/cl/clhelper.cpp b/src/modules/cl/clhelper.cpp
index 4287ca6c9..afb05ea94 100644
--- a/src/modules/cl/clhelper.cpp
+++ b/src/modules/cl/clhelper.cpp
@@ -146,7 +146,7 @@ ClProgramPtr LoadProgram(cl_context ctx, cl_device_id device, const std::string&
     {
         std::string device_name = rpp::GetDeviceInfo<CL_DEVICE_NAME>(device);
         ParseDevName(device_name);
-        boost::optional<rpp::TmpDir> dir(program_name);
+        std::optional<rpp::TmpDir> dir(program_name);
 #if RPP_BUILD_DEV
         params += " -Werror";
 #ifdef __linux__
diff --git a/src/modules/cl/gcn_asm_utils.cpp b/src/modules/cl/gcn_asm_utils.cpp
index c7a00e130..0674ea2f0 100644
--- a/src/modules/cl/gcn_asm_utils.cpp
+++ b/src/modules/cl/gcn_asm_utils.cpp
@@ -23,12 +23,12 @@
  * SOFTWARE.
  *
  *******************************************************************************/
+#include <chrono>
 #include <cassert>
 #include <cctype>
 #include <cstdio>
 #include <cstdlib>
 #include <fstream>
-#include <config.h>
 #include <rpp/env.hpp>
 #include <rpp/errors.hpp>
 #include <rpp/gcn_asm_utils.hpp>
@@ -285,7 +285,7 @@ static void AmdgcnAssembleQuiet(std::string& source, const std::string& params)
 
 static bool GcnAssemblerHasBug34765Impl()
 {
-    auto p = boost::filesystem::temp_directory_path() / boost::filesystem::unique_path();
+    auto p = fs::temp_directory_path() / std::to_string(std::chrono::system_clock::now().time_since_epoch().count());
     rpp::WriteFile(rpp::GetKernelSrc("bugzilla_34765_detect"), p);
     auto src = p.string();
     try
@@ -308,7 +308,7 @@ bool GcnAssemblerHasBug34765()
 
 static bool GcnAssemblerSupportsOption(const std::string& option)
 {
-    auto p = boost::filesystem::temp_directory_path() / boost::filesystem::unique_path();
+    auto p = fs::temp_directory_path() / std::to_string(std::chrono::system_clock::now().time_since_epoch().count());
     rpp::WriteFile(rpp::GetKernelSrc("dummy_kernel"), p);
     auto src = p.string();
     try
diff --git a/src/modules/cl/handleocl.cpp b/src/modules/cl/handleocl.cpp
index 3ad349310..272099509 100644
--- a/src/modules/cl/handleocl.cpp
+++ b/src/modules/cl/handleocl.cpp
@@ -24,20 +24,18 @@
  *
  *******************************************************************************/
 
-#include <boost/filesystem.hpp>
+#include <chrono>
 #ifndef _WIN32
 #include <unistd.h>
 #endif
 
 #include <thread>
-#include "config.h"
 #include "rpp/device_name.hpp"
 #include "rpp/errors.hpp"
 #include "rpp/logger.hpp"
 #include "rpp/handle.hpp"
 #include "rpp/kernel_cache.hpp"
 #include "rpp/binary_cache.hpp"
-#include "rpp/handle_lock.hpp"
 #include "rpp/ocldeviceinfo.hpp"
 #include "rpp/load_file.hpp"
 
@@ -713,7 +711,7 @@ const std::vector<Kernel>& Handle::GetKernelsImpl(const std::string& algorithm,
 KernelInvoke Handle::Run(Kernel k)
 {
     auto q = this->GetStream();
-    if(this->impl->enable_profiling || RPP_GPU_SYNC)
+    if(this->impl->enable_profiling)
     {
         return k.Invoke(q,
                         std::bind(&HandleImpl::SetProfilingResult,
@@ -728,8 +726,16 @@ KernelInvoke Handle::Run(Kernel k)
 
 auto Handle::GetKernels(const std::string& algorithm, const std::string& network_config)
 {
-    return this->GetKernelsImpl(algorithm, network_config) |
-            boost::adaptors::transformed([this](Kernel k) { return this->Run(k); });
+    auto kernels = this->GetKernelsImpl(algorithm, network_config);
+    
+    std::vector<KernelInvoke> transformedKernels;
+
+    transformedKernels.reserve(kernels.size());
+
+    std::transform(kernels.begin(), kernels.end(), std::back_inserter(transformedKernels),
+                   [this](Kernel k) { return this->Run(k); });
+
+    return transformedKernels;
 }
 
 KernelInvoke Handle::GetKernel(const std::string& algorithm, const std::string& network_config)
@@ -756,7 +762,7 @@ Program Handle::LoadProgram(const std::string& program_name, std::string params,
                                   kernel_src);
 
         // Save to cache
-        auto path = rpp::GetCachePath() / boost::filesystem::unique_path();
+        auto path = rpp::GetCachePath() / std::to_string(std::chrono::system_clock::now().time_since_epoch().count());
         rpp::SaveProgramBinary(p, path.string());
         rpp::SaveBinary(path.string(), this->GetDeviceName(), program_name, params, is_kernel_str);
 
@@ -821,14 +827,12 @@ std::size_t Handle::GetMaxComputeUnits()
 
 Allocator::ManageDataPtr Handle::Create(std::size_t sz)
 {
-    RPP_HANDLE_LOCK
     this->Finish();
     return this->impl->allocator(sz);
 }
 
 Allocator::ManageDataPtr& Handle::WriteTo(const void* data, Allocator::ManageDataPtr& ddata, std::size_t sz)
 {
-    RPP_HANDLE_LOCK
     this->Finish();
     cl_int status = clEnqueueWriteBuffer(this->GetStream(), ddata.get(), CL_TRUE, 0, sz, data, 0, nullptr, nullptr);
     if(status != CL_SUCCESS)
@@ -840,7 +844,6 @@ Allocator::ManageDataPtr& Handle::WriteTo(const void* data, Allocator::ManageDat
 
 void Handle::ReadTo(void* data, const Allocator::ManageDataPtr& ddata, std::size_t sz)
 {
-    RPP_HANDLE_LOCK
     this->Finish();
     auto status = clEnqueueReadBuffer(this->GetStream(), ddata.get(), CL_TRUE, 0, sz, data, 0, nullptr, nullptr);
     if(status != CL_SUCCESS)
@@ -851,7 +854,6 @@ void Handle::ReadTo(void* data, const Allocator::ManageDataPtr& ddata, std::size
 
 void Handle::Copy(ConstData_t src, Data_t dest, std::size_t size)
 {
-    RPP_HANDLE_LOCK
     this->Finish();
     auto status = clEnqueueCopyBuffer(this->GetStream(), src, dest, 0, 0, size, 0, nullptr, nullptr);
     if(status != CL_SUCCESS)
@@ -862,7 +864,6 @@ void Handle::Copy(ConstData_t src, Data_t dest, std::size_t size)
 
 shared<Data_t> Handle::CreateSubBuffer(Data_t data, std::size_t offset, std::size_t size)
 {
-    RPP_HANDLE_LOCK
     struct region
     {
         std::size_t origin;
diff --git a/src/modules/cl/hip_build_utils.cpp b/src/modules/cl/hip_build_utils.cpp
index 6e575d957..630362aef 100644
--- a/src/modules/cl/hip_build_utils.cpp
+++ b/src/modules/cl/hip_build_utils.cpp
@@ -21,7 +21,7 @@ THE SOFTWARE.
 */
 
 #include <sstream>
-#include <boost/optional.hpp>
+#include <optional>
 
 #include "rpp/hip_build_utils.hpp"
 #include "rpp/logger.hpp"
@@ -31,7 +31,7 @@ THE SOFTWARE.
 
 namespace rpp {
 
-boost::filesystem::path HipBuild(boost::optional<TmpDir>& tmp_dir,
+fs::path HipBuild(std::optional<TmpDir>& tmp_dir,
                                  const std::string& filename,
                                  std::string src,
                                  std::string params,
@@ -43,7 +43,7 @@ boost::filesystem::path HipBuild(boost::optional<TmpDir>& tmp_dir,
     // write out the include files
     auto inc_list = GetKernelIncList();
     auto inc_path = tmp_dir->path;
-    boost::filesystem::create_directories(inc_path);
+    fs::create_directories(inc_path);
     for(auto inc_file : inc_list)
     {
         auto inc_src = GetKernelInc(inc_file);
@@ -61,13 +61,13 @@ boost::filesystem::path HipBuild(boost::optional<TmpDir>& tmp_dir,
     auto env = std::string("KMOPTLLC=-mattr=+enable-ds128");
     tmp_dir->Execute(env + std::string(" ") + "/opt/rocm/bin/hipcc",
                      params + filename + " -o " + bin_file.string());
-    if(!boost::filesystem::exists(bin_file))
+    if(!fs::exists(bin_file))
         RPP_THROW(filename + " failed to compile");
-    auto hsaco = std::find_if(boost::filesystem::directory_iterator{tmp_dir->path},
+    auto hsaco = std::find_if(fs::directory_iterator{tmp_dir->path},
                               {},
                               [](auto entry) { return (entry.path().extension() == ".hsaco"); });
 
-    if(hsaco == boost::filesystem::directory_iterator{})
+    if(hsaco == fs::directory_iterator{})
     {
         RPP_LOG_E("failed to find *.hsaco in " << hsaco->path().string());
     }
@@ -80,7 +80,7 @@ boost::filesystem::path HipBuild(boost::optional<TmpDir>& tmp_dir,
 #endif
 }
 
-void bin_file_to_str(const boost::filesystem::path& file, std::string& buf)
+void bin_file_to_str(const fs::path& file, std::string& buf)
 {
     std::ifstream bin_file_ptr(file.string().c_str(), std::ios::binary);
     std::ostringstream bin_file_strm;
diff --git a/src/modules/cl/ocl_kernel.cpp b/src/modules/cl/ocl_kernel.cpp
index 9a866541c..0eec4853d 100644
--- a/src/modules/cl/ocl_kernel.cpp
+++ b/src/modules/cl/ocl_kernel.cpp
@@ -25,7 +25,6 @@
  *******************************************************************************/
 
 #include "rpp/oclkernel.hpp"
-#include "rpp/handle_lock.hpp"
 #include "rpp/logger.hpp"
 
 namespace rpp {
@@ -60,8 +59,6 @@ void OCLKernelInvoke::run() const
                                    << DimToFormattedString(local_work_dim.data(), work_dim));
 #endif // !NDEBUG
 
-    RPP_HANDLE_LOCK
-
     cl_event ev;
     /* way to run OCL group larger than 256
      * hack to ensure local_size == 0, just checking that the 1st dim is 0
diff --git a/src/modules/cl/temp_file.cpp b/src/modules/cl/temp_file.cpp
index ce0c1b6d2..7a2df141a 100644
--- a/src/modules/cl/temp_file.cpp
+++ b/src/modules/cl/temp_file.cpp
@@ -20,8 +20,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 THE SOFTWARE.
 */
 
-#include <boost/filesystem/fstream.hpp>
-#include <boost/filesystem.hpp>
+#include <fstream>
 
 #include "rpp/temp_file.hpp"
 #include "rpp/errors.hpp"
diff --git a/src/modules/cl/tmp_dir.cpp b/src/modules/cl/tmp_dir.cpp
index 81db2a1fb..d982e424c 100644
--- a/src/modules/cl/tmp_dir.cpp
+++ b/src/modules/cl/tmp_dir.cpp
@@ -20,8 +20,8 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 THE SOFTWARE.
 */
 
-#include <boost/filesystem.hpp>
-
+#include <chrono>
+#include "filesystem.h"
 #include "rpp/tmp_dir.hpp"
 #include "rpp/errors.hpp"
 #include "rpp/logger.hpp"
@@ -43,10 +43,10 @@ void SystemCmd(std::string cmd)
 }
 
 TmpDir::TmpDir(std::string prefix)
-    : path(boost::filesystem::temp_directory_path() /
-           boost::filesystem::unique_path("rpp-" + prefix + "-%%%%-%%%%-%%%%-%%%%"))
+    : path(fs::temp_directory_path() / ("rpp-" + prefix + "-" +
+            std::to_string(std::chrono::system_clock::now().time_since_epoch().count())))
 {
-    boost::filesystem::create_directories(this->path);
+    fs::create_directories(this->path);
 }
 
 void TmpDir::Execute(std::string exe, std::string args)
@@ -58,6 +58,6 @@ void TmpDir::Execute(std::string exe, std::string args)
     // std::cout<<"Done with Execute routine"<<cmd.c_str()<<std::endl;
 }
 
-TmpDir::~TmpDir() { boost::filesystem::remove_all(this->path); }
+TmpDir::~TmpDir() { fs::remove_all(this->path); }
 
 } // namespace rpp
diff --git a/src/modules/cl/utilocl.cpp b/src/modules/cl/utilocl.cpp
index d412afcc8..1802c109d 100644
--- a/src/modules/cl/utilocl.cpp
+++ b/src/modules/cl/utilocl.cpp
@@ -25,10 +25,8 @@
  *******************************************************************************/
 
 #include <cmath>
-#include <boost/range/adaptors.hpp>
 
 #include "rpp/kernel_cache.hpp"
-#include "rpp/util.hpp"
 #include "rpp/logger.hpp"
 
 #define WG_SIZE 256
diff --git a/src/modules/cpu/host_tensor_effects_augmentations.hpp b/src/modules/cpu/host_tensor_effects_augmentations.hpp
index c75eb3f2f..0800728aa 100644
--- a/src/modules/cpu/host_tensor_effects_augmentations.hpp
+++ b/src/modules/cpu/host_tensor_effects_augmentations.hpp
@@ -29,5 +29,7 @@ THE SOFTWARE.
 #include "kernel/noise_shot.hpp"
 #include "kernel/noise_gaussian.hpp"
 #include "kernel/non_linear_blend.hpp"
+#include "kernel/water.hpp"
+#include "kernel/ricap.hpp"
 
 #endif // HOST_TENSOR_EFFECTS_AUGMENTATIONS_HPP
diff --git a/src/modules/cpu/kernel/non_silent_region_detection.hpp b/src/modules/cpu/kernel/non_silent_region_detection.hpp
index 734d267b8..48095d080 100644
--- a/src/modules/cpu/kernel/non_silent_region_detection.hpp
+++ b/src/modules/cpu/kernel/non_silent_region_detection.hpp
@@ -20,8 +20,71 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 THE SOFTWARE.
 */
 
+
+/* Non Silent Region Detection requires Moving Mean Square (MMS) computation on input audio data
+MMS buffer is a 1D buffer having same length as input audio. The algorithm used for MMS computation is explained with a sample use case
+
+Example:
+Input: [1, 2, 3, 4, 5, 6, 7, 8]
+audio_length = 8
+window_length = 3
+reset_interval_length = 4
+
+window_begin = -window_length + 1 = -2
+window_factor = 1 / window_length = 1/3
+
+MMS computation is divided into blocks of reset interval length
+num_blocks = audio_length / reset_interval_length
+For the above example we will have
+    - 2 blocks (8 / 4)
+    - each block runs for 4 iterations
+    - in each iteration window begin value is increment by 1
+
+Block1
+window begin = -2
+Iteration 0:    sum_of_squares = 1*1                              // window begin = -2
+                store sum_of_squares * window_factor in MMS[0]
+
+Iteration 1:    sum_of_squares = 1*1 + 2*2                        // window begin = -1
+                store sum_of_squares * window_factor in MMS[1]
+
+Iteration 2:    sum_of_squares = 1*1 + 2*2 + 3*3                  // window begin =  0
+                store sum_of_squares * window_factor in MMS[2]
+                sum_of_squares -= 1*1
+
+Iteration 3:    sum_of_squares = 2*2 + 3*3 + 4*4                  // window begin =  1
+                store sum_of_squares * window_factor in MMS[3]
+                sum_of_squares -= 2*2
+
+Block2
+Iteration 0:    sum_of_squares = 3*3 + 4*4 + 5*5                  // window begin = 2
+                store sum_of_squares * window_factor in MMS[4]
+                sum_of_squares -= 3*3
+
+Iteration 1:    sum_of_squares = 4*4 + 5*5 + 6*6                 // window begin = 3
+                store sum_of_squares * window_factor in MMS[5]
+                sum_of_squares -= 4*4
+
+Iteration 2:    sum_of_squares = 5*5 + 6*6 + 7*7                 // window begin = 4
+                store sum_of_squares * window_factor in MMS[6]
+                sum_of_squares -= 5*5
+
+Iteration 3:    sum_of_squares  = 6*6 + 7*7 + 8*8                // window begin = 5
+                store sum_of_squares * window_factor in MMS[7]
+                sum_of_squares -= 6*6
+
+For computing beginning index and length of Non Silent Region in audio data we traverse over
+the entire MMS buffer and compare these values with the calculated cutoff value
+    - For beginning index, traverse over MMS buffer from 0 to audio_length - 1 and compare if any value
+      is greater than or equal to cutoff value. if yes, that is the beginning index
+    - For length, traverse over MMS buffer from audio_length - 1 to beginning index and compare if any value
+      is greater than or equal to cutoff value. if yes, that is the ending index of Non Silent Region. From this
+      data compute length with the formulae, length = ending index - beginning index + 1
+*/
+
 #include "rppdefs.h"
 #include <omp.h>
+#include <algorithm>
 
 Rpp32f getSquare(Rpp32f &value)
 {
@@ -51,7 +114,7 @@ RppStatus non_silent_region_detection_host_tensor(Rpp32f *srcPtr,
 
         // mmsBuffer length is equal to input audio length and can vary dynamically for each input in a batch
         // preallocating a static buffer for entire batchsize will be too big, so allocate mmsBuffer for each sample dynamically
-        Rpp32f *mmsBuffer = static_cast<Rpp32f *>(calloc(srcLength, sizeof(Rpp32f)));
+        Rpp32f *mmsBuffer = new Rpp32f[srcLength]{};
         bool referenceMax = (referencePower == 0.0f);
 
         // set reset interval based on the user input
@@ -62,6 +125,7 @@ RppStatus non_silent_region_detection_host_tensor(Rpp32f *srcPtr,
         Rpp32s windowBegin = -windowLength + 1;
         for (Rpp32s outPos = 0; outPos < srcLength;)
         {
+            // reset the sumOfSquares values to 0 and recompute the starting value required for next block
             Rpp32f sumOfSquares = 0.0f;
             for (Rpp32s i = std::max<Rpp32s>(windowBegin, 0); i < outPos; i++)
                 sumOfSquares += getSquare(srcPtrTemp[i]);
@@ -111,7 +175,8 @@ RppStatus non_silent_region_detection_host_tensor(Rpp32f *srcPtr,
             detectEnd = endIdx - beginIdx + 1;
         }
 
-        // extend non silent region
+        // if both starting index and length of nonsilent region is not 0
+        // adjust the values as per the windowLength
         if(detectBegin != 0 && detectEnd != 0)
         {
             Rpp32s newBegin = std::max<Rpp32s>(detectBegin - (windowLength - 1), 0);
@@ -121,7 +186,7 @@ RppStatus non_silent_region_detection_host_tensor(Rpp32f *srcPtr,
 
         detectedIndexTensor[batchCount] = detectBegin;
         detectionLengthTensor[batchCount] = detectEnd;
-        free(mmsBuffer);
+        delete[] mmsBuffer;
     }
     return RPP_SUCCESS;
 }
\ No newline at end of file
diff --git a/src/modules/cpu/kernel/resize.hpp b/src/modules/cpu/kernel/resize.hpp
index 582905c86..33a13470d 100644
--- a/src/modules/cpu/kernel/resize.hpp
+++ b/src/modules/cpu/kernel/resize.hpp
@@ -1790,8 +1790,8 @@ RppStatus resize_separable_host_tensor(T *srcPtr,
         compute_dst_size_cap_host(&dstImgSize[batchCount], dstDescPtr);
         Rpp32f wRatio = ((Rpp32f)(roi.xywhROI.roiWidth)) / ((Rpp32f)(dstImgSize[batchCount].width));
         Rpp32f hRatio = ((Rpp32f)(roi.xywhROI.roiHeight)) / ((Rpp32f)(dstImgSize[batchCount].height));
-        Filter vFilter(interpolationType, roi.xywhROI.roiHeight, dstImgSize[batchCount].height, hRatio);    // Initialize vertical resampling filter
-        Filter hFilter(interpolationType, roi.xywhROI.roiWidth, dstImgSize[batchCount].width, wRatio);      // Initialize Horizontal resampling filter
+        GenericFilter vFilter(interpolationType, roi.xywhROI.roiHeight, dstImgSize[batchCount].height, hRatio);    // Initialize vertical resampling filter
+        GenericFilter hFilter(interpolationType, roi.xywhROI.roiWidth, dstImgSize[batchCount].width, wRatio);      // Initialize Horizontal resampling filter
         Rpp32f hOffset = (hRatio - 1) * 0.5f - vFilter.radius;
         Rpp32f wOffset = (wRatio - 1) * 0.5f - hFilter.radius;
 
diff --git a/src/modules/cpu/kernel/resize_mirror_normalize.hpp b/src/modules/cpu/kernel/resize_mirror_normalize.hpp
index 8008d1d1b..56ac097be 100644
--- a/src/modules/cpu/kernel/resize_mirror_normalize.hpp
+++ b/src/modules/cpu/kernel/resize_mirror_normalize.hpp
@@ -1225,7 +1225,7 @@ RppStatus resize_mirror_normalize_u8_f32_host_tensor(Rpp8u *srcPtr,
         for(int c = 0; c < srcDescPtr->c; c++)
         {
             mean[c] = meanTensor[incrementPerImage + c];
-            invStdDev[c] = 1.0 / (255.0 * stdDevTensor[incrementPerImage + c]);
+            invStdDev[c] = 1.0 / stdDevTensor[incrementPerImage + c];
             pRMNParams[2 * c] = _mm256_set1_ps(mean[c]);
             pRMNParams[2 * c + 1] = _mm256_set1_ps(invStdDev[c]);
         }
@@ -1283,9 +1283,9 @@ RppStatus resize_mirror_normalize_u8_f32_host_tensor(Rpp8u *srcPtr,
                     compute_resize_bilinear_src_loc_and_weights(srcLoc, wRatio, srcLocationColumn, &weightParams[2], wOffset, srcDescPtr->strides.wStride); // Compute the src col location correspoding to the dst col location
                     compute_bilinear_coefficients(weightParams, bilinearCoeffs);    // Compute Bilinear coefficients
                     compute_bilinear_interpolation_3c_pkd(srcRowPtrsForInterp, srcLocationColumn, maxWidthLimit, bilinearCoeffs, dstPtrTempR, dstPtrTempG, dstPtrTempB);   // Compute Bilinear interpolation
-                    *dstPtrTempR = RPPPIXELCHECKF32((((Rpp32f) (*dstPtrTempR - mean[0]) * invStdDev[0])));
-                    *dstPtrTempG = RPPPIXELCHECKF32((((Rpp32f) (*dstPtrTempG - mean[1]) * invStdDev[1])));
-                    *dstPtrTempB = RPPPIXELCHECKF32((((Rpp32f) (*dstPtrTempB - mean[2]) * invStdDev[2])));
+                    *dstPtrTempR = ((Rpp32f) (*dstPtrTempR - mean[0]) * invStdDev[0]);
+                    *dstPtrTempG = ((Rpp32f) (*dstPtrTempG - mean[1]) * invStdDev[1]);
+                    *dstPtrTempB = ((Rpp32f) (*dstPtrTempB - mean[2]) * invStdDev[2]);
                     dstPtrTempR++;
                     dstPtrTempG++;
                     dstPtrTempB++;
@@ -1335,9 +1335,9 @@ RppStatus resize_mirror_normalize_u8_f32_host_tensor(Rpp8u *srcPtr,
                     compute_resize_bilinear_src_loc_and_weights(srcLoc, wRatio, srcLocationColumn, &weightParams[2], wOffset);  // Compute the src col location correspoding to the dst col location
                     compute_bilinear_coefficients(weightParams, bilinearCoeffs);    // Compute Bilinear coefficients
                     compute_bilinear_interpolation_3c_pln(srcRowPtrsForInterp, srcLocationColumn, maxWidthLimit, bilinearCoeffs, &dstPtrTemp[0], &dstPtrTemp[1], &dstPtrTemp[2]);  // Compute Bilinear interpolation
-                    dstPtrTemp[0] = RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[0] - mean[0]) * invStdDev[0])));
-                    dstPtrTemp[1] = RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[1] - mean[1]) * invStdDev[1])));
-                    dstPtrTemp[2] = RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[2] - mean[2]) * invStdDev[2])));
+                    dstPtrTemp[0] = ((Rpp32f) (dstPtrTemp[0] - mean[0]) * invStdDev[0]);
+                    dstPtrTemp[1] = ((Rpp32f) (dstPtrTemp[1] - mean[1]) * invStdDev[1]);
+                    dstPtrTemp[2] = ((Rpp32f) (dstPtrTemp[2] - mean[2]) * invStdDev[2]);
                     dstPtrTemp += dstDescPtr->c;
                 }
                 dstPtrRow += dstDescPtr->strides.hStride;
@@ -1380,9 +1380,9 @@ RppStatus resize_mirror_normalize_u8_f32_host_tensor(Rpp8u *srcPtr,
                     compute_resize_bilinear_src_loc_and_weights(srcLoc, wRatio, srcLocationColumn, &weightParams[2], wOffset, srcDescPtr->strides.wStride); // Compute the src col location correspoding to the dst col location
                     compute_bilinear_coefficients(weightParams, bilinearCoeffs);    // Compute Bilinear coefficients
                     compute_bilinear_interpolation_3c_pkd(srcRowPtrsForInterp, srcLocationColumn, maxWidthLimit, bilinearCoeffs, &dstPtrTemp[0], &dstPtrTemp[1], &dstPtrTemp[2]);  // Compute Bilinear interpolation
-                    dstPtrTemp[0] = RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[0] - mean[0]) * invStdDev[1])));
-                    dstPtrTemp[1] = RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[1] - mean[1]) * invStdDev[0])));
-                    dstPtrTemp[2] = RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[2] - mean[2]) * invStdDev[2])));
+                    dstPtrTemp[0] = ((Rpp32f) (dstPtrTemp[0] - mean[0]) * invStdDev[1]);
+                    dstPtrTemp[1] = ((Rpp32f) (dstPtrTemp[1] - mean[1]) * invStdDev[0]);
+                    dstPtrTemp[2] = ((Rpp32f) (dstPtrTemp[2] - mean[2]) * invStdDev[2]);
                     dstPtrTemp += dstDescPtr->c;
                 }
                 dstPtrRow += dstDescPtr->strides.hStride;
@@ -1435,7 +1435,7 @@ RppStatus resize_mirror_normalize_u8_f32_host_tensor(Rpp8u *srcPtr,
                     for (int c = 0; c < dstDescPtr->c; c++)
                     {
                         compute_bilinear_interpolation_1c(&srcRowPtrsForInterp[c * INTERP_BILINEAR_KERNEL_SIZE], srcLocationColumn, maxWidthLimit, bilinearCoeffs, dstPtrTempChn);  // Compute Bilinear interpolation
-                        *dstPtrTempChn = RPPPIXELCHECKF32((((Rpp32f) (*dstPtrTempChn - mean[c]) * invStdDev[c])));
+                        *dstPtrTempChn = ((Rpp32f) (*dstPtrTempChn - mean[c]) * invStdDev[c]);
                         dstPtrTempChn += dstDescPtr->strides.cStride;
                     }
 
@@ -1509,7 +1509,7 @@ RppStatus resize_mirror_normalize_u8_f16_host_tensor(Rpp8u *srcPtr,
         for(int c = 0; c < srcDescPtr->c; c++)
         {
             mean[c] = meanTensor[incrementPerImage + c];
-            invStdDev[c] = 1.0 / (255.0 * stdDevTensor[incrementPerImage + c]);
+            invStdDev[c] = 1.0 / stdDevTensor[incrementPerImage + c];
             pRMNParams[2 * c] = _mm256_set1_ps(mean[c]);
             pRMNParams[2 * c + 1] = _mm256_set1_ps(invStdDev[c]);
         }
@@ -1567,9 +1567,9 @@ RppStatus resize_mirror_normalize_u8_f16_host_tensor(Rpp8u *srcPtr,
                     compute_resize_bilinear_src_loc_and_weights(srcLoc, wRatio, srcLocationColumn, &weightParams[2], wOffset, srcDescPtr->strides.wStride); // Compute the src col location correspoding to the dst col location
                     compute_bilinear_coefficients(weightParams, bilinearCoeffs);    // Compute Bilinear coefficients
                     compute_bilinear_interpolation_3c_pkd(srcRowPtrsForInterp, srcLocationColumn, maxWidthLimit, bilinearCoeffs, dstPtrTempR, dstPtrTempG, dstPtrTempB);   // Compute Bilinear interpolation
-                    *dstPtrTempR = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (*dstPtrTempR - mean[0]) * invStdDev[0])));
-                    *dstPtrTempG = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (*dstPtrTempG - mean[1]) * invStdDev[1])));
-                    *dstPtrTempB = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (*dstPtrTempB - mean[2]) * invStdDev[2])));
+                    *dstPtrTempR = (Rpp16f) (((Rpp32f) (*dstPtrTempR - mean[0]) * invStdDev[0]));
+                    *dstPtrTempG = (Rpp16f) (((Rpp32f) (*dstPtrTempG - mean[1]) * invStdDev[1]));
+                    *dstPtrTempB = (Rpp16f) (((Rpp32f) (*dstPtrTempB - mean[2]) * invStdDev[2]));
                     dstPtrTempR++;
                     dstPtrTempG++;
                     dstPtrTempB++;
@@ -1619,9 +1619,9 @@ RppStatus resize_mirror_normalize_u8_f16_host_tensor(Rpp8u *srcPtr,
                     compute_resize_bilinear_src_loc_and_weights(srcLoc, wRatio, srcLocationColumn, &weightParams[2], wOffset);  // Compute the src col location correspoding to the dst col location
                     compute_bilinear_coefficients(weightParams, bilinearCoeffs);    // Compute Bilinear coefficients
                     compute_bilinear_interpolation_3c_pln(srcRowPtrsForInterp, srcLocationColumn, maxWidthLimit, bilinearCoeffs, &dstPtrTemp[0], &dstPtrTemp[1], &dstPtrTemp[2]);  // Compute Bilinear interpolation
-                    dstPtrTemp[0] = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[0] - mean[0]) * invStdDev[0])));
-                    dstPtrTemp[1] = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[1] - mean[1]) * invStdDev[1])));
-                    dstPtrTemp[2] = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[2] - mean[2]) * invStdDev[2])));
+                    dstPtrTemp[0] = (Rpp16f) (((Rpp32f) (dstPtrTemp[0] - mean[0]) * invStdDev[0]));
+                    dstPtrTemp[1] = (Rpp16f) (((Rpp32f) (dstPtrTemp[1] - mean[1]) * invStdDev[1]));
+                    dstPtrTemp[2] = (Rpp16f) (((Rpp32f) (dstPtrTemp[2] - mean[2]) * invStdDev[2]));
                     dstPtrTemp += dstDescPtr->c;
                 }
                 dstPtrRow += dstDescPtr->strides.hStride;
@@ -1664,9 +1664,9 @@ RppStatus resize_mirror_normalize_u8_f16_host_tensor(Rpp8u *srcPtr,
                     compute_resize_bilinear_src_loc_and_weights(srcLoc, wRatio, srcLocationColumn, &weightParams[2], wOffset, srcDescPtr->strides.wStride); // Compute the src col location correspoding to the dst col location
                     compute_bilinear_coefficients(weightParams, bilinearCoeffs);    // Compute Bilinear coefficients
                     compute_bilinear_interpolation_3c_pkd(srcRowPtrsForInterp, srcLocationColumn, maxWidthLimit, bilinearCoeffs, &dstPtrTemp[0], &dstPtrTemp[1], &dstPtrTemp[2]);  // Compute Bilinear interpolation
-                    dstPtrTemp[0] = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[0] - mean[0]) * invStdDev[1])));
-                    dstPtrTemp[1] = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[1] - mean[1]) * invStdDev[0])));
-                    dstPtrTemp[2] = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (dstPtrTemp[2] - mean[2]) * invStdDev[2])));
+                    dstPtrTemp[0] = (Rpp16f) (((Rpp32f) (dstPtrTemp[0] - mean[0]) * invStdDev[1]));
+                    dstPtrTemp[1] = (Rpp16f) (((Rpp32f) (dstPtrTemp[1] - mean[1]) * invStdDev[0]));
+                    dstPtrTemp[2] = (Rpp16f) (((Rpp32f) (dstPtrTemp[2] - mean[2]) * invStdDev[2]));
                     dstPtrTemp += dstDescPtr->c;
                 }
                 dstPtrRow += dstDescPtr->strides.hStride;
@@ -1718,7 +1718,7 @@ RppStatus resize_mirror_normalize_u8_f16_host_tensor(Rpp8u *srcPtr,
                     for (int c = 0; c < dstDescPtr->c; c++)
                     {
                         compute_bilinear_interpolation_1c(&srcRowPtrsForInterp[c * INTERP_BILINEAR_KERNEL_SIZE], srcLocationColumn, maxWidthLimit, bilinearCoeffs, dstPtrTempChn);  // Compute Bilinear interpolation
-                        *dstPtrTempChn = (Rpp16f) RPPPIXELCHECKF32((((Rpp32f) (*dstPtrTempChn - mean[c]) * invStdDev[c])));
+                        *dstPtrTempChn = (Rpp16f) (((Rpp32f) (*dstPtrTempChn - mean[c]) * invStdDev[c]));
                         dstPtrTempChn += dstDescPtr->strides.cStride;
                     }
 
diff --git a/src/modules/cpu/kernel/ricap.hpp b/src/modules/cpu/kernel/ricap.hpp
new file mode 100644
index 000000000..75d24bfd0
--- /dev/null
+++ b/src/modules/cpu/kernel/ricap.hpp
@@ -0,0 +1,1572 @@
+/*
+Copyright (c) 2019 - 2023 Advanced Micro Devices, Inc. All rights reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+*/
+
+#include "rppdefs.h"
+#include "rpp_cpu_simd.hpp"
+#include "rpp_cpu_common.hpp"
+
+    // RICAP output image profile as per "Data Augmentation using Random Image Cropping and Patching for Deep CNNs" available at https://arxiv.org/pdf/1811.09030.pdf
+    // |------img-roi-1------|------img-roi-2------|
+    // |------img-roi-1------|------img-roi-2------|
+    // |------img-roi-1------|------img-roi-2------|
+    // |------img-roi-1------|------img-roi-2------|
+    // |------img-roi-1------|------img-roi-2------|
+    // |------img-roi-1------|------img-roi-2------|
+    // |------img-roi-1------|------img-roi-2------|
+    // |------img-roi-3------|------img-roi-4------|
+    // |------img-roi-3------|------img-roi-4------|
+    // |------img-roi-3------|------img-roi-4------|
+
+RppStatus ricap_u8_u8_host_tensor(Rpp8u *srcPtr,
+                                  RpptDescPtr srcDescPtr,
+                                  Rpp8u *dstPtr,
+                                  RpptDescPtr dstDescPtr,
+                                  Rpp32u *permutedIndices,
+                                  RpptROIPtr roiPtrInputCropRegion,
+                                  RpptRoiType roiType,
+                                  RppLayoutParams layoutParams,
+                                  rpp::Handle& handle)
+{
+    RpptROI roiDefault = {0, 0, (Rpp32s)srcDescPtr->w, (Rpp32s)srcDescPtr->h};
+    Rpp32u numThreads = handle.GetNumThreads();
+
+    omp_set_dynamic(0);
+#pragma omp parallel for num_threads(numThreads)
+    for (int batchCount = 0; batchCount < dstDescPtr->n; batchCount++)
+    {
+        RpptROI roi[4];
+        RpptROIPtr roiPtrInput[4];
+        Rpp8u *srcPtrImage[4], *srcPtrChannel[4];
+        Rpp32u bufferLength[4], alignedLength[4];
+        int permutedCount = batchCount * 4;
+
+        for (int i = 0; i < 4; i++)
+        {
+            roiPtrInput[i] = &roiPtrInputCropRegion[i];
+            compute_roi_validation_host(roiPtrInput[i], &roi[i], &roiDefault, roiType);
+            srcPtrImage[i] = srcPtr + (permutedIndices[permutedCount + i] * srcDescPtr->strides.nStride);
+            bufferLength[i] = roi[i].xywhROI.roiWidth * layoutParams.bufferMultiplier;
+            srcPtrChannel[i] = srcPtrImage[i] + (roi[i].xywhROI.xy.y * srcDescPtr->strides.hStride) + (roi[i].xywhROI.xy.x * layoutParams.bufferMultiplier);
+            alignedLength[i] = (bufferLength[i] / 48) * 48;
+        }
+
+        Rpp8u *dstPtrImage, *dstPtrChannel;
+        dstPtrImage = dstPtr + batchCount * dstDescPtr->strides.nStride;
+        dstPtrChannel = dstPtrImage;
+        Rpp32u vectorIncrement = 48;
+        Rpp32u vectorIncrementPerChannel = 16;
+
+        // Ricap with fused output-layout toggle (NHWC -> NCHW)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp8u *srcPtrRow1, *srcPtrRow2, *srcPtrRow3, *srcPtrRow4, *dstPtrRowR, *dstPtrRowG, *dstPtrRowB;
+            srcPtrRow1 = srcPtrChannel[0];
+            srcPtrRow2 = srcPtrChannel[1];
+            srcPtrRow3 = srcPtrChannel[2];
+            srcPtrRow4 = srcPtrChannel[3];
+            dstPtrRowR = dstPtrChannel;
+            dstPtrRowG = dstPtrRowR + dstDescPtr->strides.cStride;
+            dstPtrRowB = dstPtrRowG + dstDescPtr->strides.cStride;
+
+            for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+            {
+                Rpp8u *srcPtrTemp1, *srcPtrTemp2, *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                srcPtrTemp1 = srcPtrRow1;
+                srcPtrTemp2 = srcPtrRow2;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                // Top-Left Quadrant
+                int vectorLoopCount1 = 0;
+                for (; vectorLoopCount1 < alignedLength[0]; vectorLoopCount1 += vectorIncrement)
+                {
+                    __m128i p[3];
+                    rpp_simd_load(rpp_load48_u8pkd3_to_u8pln3, srcPtrTemp1, p);                             // simd loads
+                    rpp_simd_store(rpp_store48_u8pln3_to_u8pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp1 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount1 < bufferLength[0]; vectorLoopCount1 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp1[0];
+                    *dstPtrTempG++ = srcPtrTemp1[1];
+                    *dstPtrTempB++ = srcPtrTemp1[2];
+                    srcPtrTemp1 += 3;
+                }
+
+                // Top-Right Quadrant
+                int vectorLoopCount2 = 0;
+                for (; vectorLoopCount2 < alignedLength[1]; vectorLoopCount2 += vectorIncrement)
+                {
+                    __m128i p[3];
+                    rpp_simd_load(rpp_load48_u8pkd3_to_u8pln3, srcPtrTemp2, p);                             // simd loads
+                    rpp_simd_store(rpp_store48_u8pln3_to_u8pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp2 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount2 < bufferLength[1]; vectorLoopCount2 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp2[0];
+                    *dstPtrTempG++ = srcPtrTemp2[1];
+                    *dstPtrTempB++ = srcPtrTemp2[2];
+                    srcPtrTemp2 += 3;
+                }
+
+                srcPtrRow1 += srcDescPtr->strides.hStride;
+                srcPtrRow2 += srcDescPtr->strides.hStride;
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+            for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+            {
+                Rpp8u *srcPtrTemp3, *srcPtrTemp4, *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                srcPtrTemp3 = srcPtrRow3;
+                srcPtrTemp4 = srcPtrRow4;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                // Bottom-Left Quadrant
+                int vectorLoopCount3 = 0;
+                for (; vectorLoopCount3 < alignedLength[2]; vectorLoopCount3 += vectorIncrement)
+                {
+                    __m128i p[3];
+                    rpp_simd_load(rpp_load48_u8pkd3_to_u8pln3, srcPtrTemp3, p);                             // simd loads
+                    rpp_simd_store(rpp_store48_u8pln3_to_u8pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp3 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount3 < bufferLength[2]; vectorLoopCount3 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp3[0];
+                    *dstPtrTempG++ = srcPtrTemp3[1];
+                    *dstPtrTempB++ = srcPtrTemp3[2];
+                    srcPtrTemp3 += 3;
+                }
+
+                // Bottom-Right Quadrant
+                int vectorLoopCount4 = 0;
+                for (; vectorLoopCount4 < alignedLength[3]; vectorLoopCount4 += vectorIncrement)
+                {
+                    __m128i p[3];
+                    rpp_simd_load(rpp_load48_u8pkd3_to_u8pln3, srcPtrTemp4, p);                             // simd loads
+                    rpp_simd_store(rpp_store48_u8pln3_to_u8pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp4 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount4 < bufferLength[3]; vectorLoopCount4 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp4[0];
+                    *dstPtrTempG++ = srcPtrTemp4[1];
+                    *dstPtrTempB++ = srcPtrTemp4[2];
+                    srcPtrTemp4 += 3;
+                }
+
+                srcPtrRow3 += srcDescPtr->strides.hStride;
+                srcPtrRow4 += srcDescPtr->strides.hStride;
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Ricap with fused output-layout toggle (NCHW -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp8u *srcPtrRowR1, *srcPtrRowG1, *srcPtrRowB1, *srcPtrRowR2, *srcPtrRowG2, *srcPtrRowB2;
+            Rpp8u *srcPtrRowR3, *srcPtrRowG3, *srcPtrRowB3, *srcPtrRowR4, *srcPtrRowG4, *srcPtrRowB4, *dstPtrRow;
+            srcPtrRowR1 = srcPtrChannel[0];
+            srcPtrRowG1 = srcPtrRowR1 + srcDescPtr->strides.cStride;
+            srcPtrRowB1 = srcPtrRowG1 + srcDescPtr->strides.cStride;
+            srcPtrRowR2 = srcPtrChannel[1];
+            srcPtrRowG2 = srcPtrRowR2 + srcDescPtr->strides.cStride;
+            srcPtrRowB2 = srcPtrRowG2 + srcDescPtr->strides.cStride;
+            srcPtrRowR3 = srcPtrChannel[2];
+            srcPtrRowG3 = srcPtrRowR3 + srcDescPtr->strides.cStride;
+            srcPtrRowB3 = srcPtrRowG3 + srcDescPtr->strides.cStride;
+            srcPtrRowR4 = srcPtrChannel[3];
+            srcPtrRowG4 = srcPtrRowR4 + srcDescPtr->strides.cStride;
+            srcPtrRowB4 = srcPtrRowG4 + srcDescPtr->strides.cStride;
+            dstPtrRow = dstPtrChannel;
+
+            for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+            {
+                Rpp8u *srcPtrTempR1, *srcPtrTempG1, *srcPtrTempB1, *srcPtrTempR2, *srcPtrTempG2, *srcPtrTempB2, *dstPtrTemp;
+                srcPtrTempR1 = srcPtrRowR1;
+                srcPtrTempG1 = srcPtrRowG1;
+                srcPtrTempB1 = srcPtrRowB1;
+                srcPtrTempR2 = srcPtrRowR2;
+                srcPtrTempG2 = srcPtrRowG2;
+                srcPtrTempB2 = srcPtrRowB2;
+
+                dstPtrTemp = dstPtrRow;
+
+                // Top-Left Quadrant
+                int vectorLoopCount1 = 0;
+                for (; vectorLoopCount1 < alignedLength[0]; vectorLoopCount1 += vectorIncrementPerChannel)
+                {
+                    __m128i px[3];
+                    rpp_simd_load(rpp_load48_u8pln3_to_u8pln3, srcPtrTempR1, srcPtrTempG1, srcPtrTempB1, px); // simd loads
+                    rpp_simd_store(rpp_store48_u8pln3_to_u8pkd3, dstPtrTemp, px);                             // simd stores
+                    srcPtrTempR1 += vectorIncrementPerChannel;
+                    srcPtrTempG1 += vectorIncrementPerChannel;
+                    srcPtrTempB1 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount1 < bufferLength[0]; vectorLoopCount1++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR1++;
+                    dstPtrTemp[1] = *srcPtrTempG1++;
+                    dstPtrTemp[2] = *srcPtrTempB1++;
+                    dstPtrTemp += 3;
+                }
+
+                // Top-Right Quadrant
+                int vectorLoopCount2 = 0;
+                for (; vectorLoopCount2 < alignedLength[1]; vectorLoopCount2 += vectorIncrementPerChannel)
+                {
+                    __m128i px[3];
+                    rpp_simd_load(rpp_load48_u8pln3_to_u8pln3, srcPtrTempR2, srcPtrTempG2, srcPtrTempB2, px); // simd loads
+                    rpp_simd_store(rpp_store48_u8pln3_to_u8pkd3, dstPtrTemp, px);                             // simd stores
+                    srcPtrTempR2 += vectorIncrementPerChannel;
+                    srcPtrTempG2 += vectorIncrementPerChannel;
+                    srcPtrTempB2 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount2 < bufferLength[1]; vectorLoopCount2++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR2++;
+                    dstPtrTemp[1] = *srcPtrTempG2++;
+                    dstPtrTemp[2] = *srcPtrTempB2++;
+                    dstPtrTemp += 3;
+                }
+
+                srcPtrRowR1 += srcDescPtr->strides.hStride;
+                srcPtrRowG1 += srcDescPtr->strides.hStride;
+                srcPtrRowB1 += srcDescPtr->strides.hStride;
+                srcPtrRowR2 += srcDescPtr->strides.hStride;
+                srcPtrRowG2 += srcDescPtr->strides.hStride;
+                srcPtrRowB2 += srcDescPtr->strides.hStride;
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+
+            for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+            {
+                Rpp8u *srcPtrTempR3, *srcPtrTempG3, *srcPtrTempB3, *srcPtrTempR4, *srcPtrTempG4, *srcPtrTempB4, *dstPtrTemp;
+                srcPtrTempR3 = srcPtrRowR3;
+                srcPtrTempG3 = srcPtrRowG3;
+                srcPtrTempB3 = srcPtrRowB3;
+                srcPtrTempR4 = srcPtrRowR4;
+                srcPtrTempG4 = srcPtrRowG4;
+                srcPtrTempB4 = srcPtrRowB4;
+                dstPtrTemp = dstPtrRow;
+
+                // Bottom-Left Quadrant
+                int vectorLoopCount3 = 0;
+                for (; vectorLoopCount3 < alignedLength[2]; vectorLoopCount3 += vectorIncrementPerChannel)
+                {
+                    __m128i px[3];
+                    rpp_simd_load(rpp_load48_u8pln3_to_u8pln3, srcPtrTempR3, srcPtrTempG3, srcPtrTempB3, px); // simd loads
+                    rpp_simd_store(rpp_store48_u8pln3_to_u8pkd3, dstPtrTemp, px);                             // simd stores
+                    srcPtrTempR3 += vectorIncrementPerChannel;
+                    srcPtrTempG3 += vectorIncrementPerChannel;
+                    srcPtrTempB3 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount3 < bufferLength[2]; vectorLoopCount3++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR3++;
+                    dstPtrTemp[1] = *srcPtrTempG3++;
+                    dstPtrTemp[2] = *srcPtrTempB3++;
+                    dstPtrTemp += 3;
+                }
+
+                // Bottom-Right Quadrant
+                int vectorLoopCount4 = 0;
+                for (; vectorLoopCount4 < alignedLength[3]; vectorLoopCount4 += vectorIncrementPerChannel)
+                {
+                    __m128i px[3];
+                    rpp_simd_load(rpp_load48_u8pln3_to_u8pln3, srcPtrTempR4, srcPtrTempG4, srcPtrTempB4, px); // simd loads
+                    rpp_simd_store(rpp_store48_u8pln3_to_u8pkd3, dstPtrTemp, px);                             // simd stores
+                    srcPtrTempR4 += vectorIncrementPerChannel;
+                    srcPtrTempG4 += vectorIncrementPerChannel;
+                    srcPtrTempB4 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount4 < bufferLength[3]; vectorLoopCount4++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR4++;
+                    dstPtrTemp[1] = *srcPtrTempG4++;
+                    dstPtrTemp[2] = *srcPtrTempB4++;
+                    dstPtrTemp += 3;
+                }
+
+                srcPtrRowR3 += srcDescPtr->strides.hStride;
+                srcPtrRowG3 += srcDescPtr->strides.hStride;
+                srcPtrRowB3 += srcDescPtr->strides.hStride;
+                srcPtrRowR4 += srcDescPtr->strides.hStride;
+                srcPtrRowG4 += srcDescPtr->strides.hStride;
+                srcPtrRowB4 += srcDescPtr->strides.hStride;
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Ricap without fused output-layout toggle (NHWC -> NHWC or NCHW -> NCHW)
+        else
+        {
+            for (int c = 0; c < layoutParams.channelParam; c++)
+            {
+                Rpp8u *srcPtrRow1, *srcPtrRow2, *srcPtrRow3, *srcPtrRow4, *dstPtrRow;
+                srcPtrRow1 = srcPtrChannel[0];
+                srcPtrRow2 = srcPtrChannel[1];
+                srcPtrRow3 = srcPtrChannel[2];
+                srcPtrRow4 = srcPtrChannel[3];
+                dstPtrRow = dstPtrChannel;
+
+                for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+                {
+                    Rpp8u *srcPtrTemp1, *srcPtrTemp2, *dstPtrTemp;
+                    srcPtrTemp1 = srcPtrRow1;
+                    srcPtrTemp2 = srcPtrRow2;
+                    dstPtrTemp = dstPtrRow;
+
+                    memcpy(dstPtrTemp, srcPtrTemp1, bufferLength[0]);
+                    dstPtrTemp += bufferLength[0];
+                    memcpy(dstPtrTemp, srcPtrTemp2, bufferLength[1]);
+                    srcPtrRow1 += srcDescPtr->strides.hStride;
+                    srcPtrRow2 += srcDescPtr->strides.hStride;
+                    dstPtrRow += dstDescPtr->strides.hStride;
+                }
+
+                for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+                {
+                    Rpp8u *srcPtrTemp3, *srcPtrTemp4, *dstPtrTemp;
+                    srcPtrTemp3 = srcPtrRow3;
+                    srcPtrTemp4 = srcPtrRow4;
+                    dstPtrTemp = dstPtrRow;
+                    memcpy(dstPtrTemp, srcPtrTemp3, bufferLength[2]);
+                    dstPtrTemp += bufferLength[2];
+                    memcpy(dstPtrTemp, srcPtrTemp4, bufferLength[3]);
+
+                    srcPtrRow3 += srcDescPtr->strides.hStride;
+                    srcPtrRow4 += srcDescPtr->strides.hStride;
+                    dstPtrRow += dstDescPtr->strides.hStride;
+                }
+
+                srcPtrChannel[0] += srcDescPtr->strides.cStride;
+                srcPtrChannel[1] += srcDescPtr->strides.cStride;
+                srcPtrChannel[2] += srcDescPtr->strides.cStride;
+                srcPtrChannel[3] += srcDescPtr->strides.cStride;
+                dstPtrChannel += dstDescPtr->strides.cStride;
+            }
+        }
+    }
+
+    return RPP_SUCCESS;
+}
+
+RppStatus ricap_f32_f32_host_tensor(Rpp32f *srcPtr,
+                                    RpptDescPtr srcDescPtr,
+                                    Rpp32f *dstPtr,
+                                    RpptDescPtr dstDescPtr,
+                                    Rpp32u *permutedIndices,
+                                    RpptROIPtr roiPtrInputCropRegion,
+                                    RpptRoiType roiType,
+                                    RppLayoutParams layoutParams,
+                                    rpp::Handle& handle)
+{
+    RpptROI roiDefault = {0, 0, (Rpp32s)srcDescPtr->w, (Rpp32s)srcDescPtr->h};
+    Rpp32u numThreads = handle.GetNumThreads();
+
+    omp_set_dynamic(0);
+#pragma omp parallel for num_threads(numThreads)
+    for (int batchCount = 0; batchCount < dstDescPtr->n; batchCount++)
+    {
+        RpptROI roi[4];
+        RpptROIPtr roiPtrInput[4];
+        Rpp32f *srcPtrImage[4], *srcPtrChannel[4];
+        Rpp32u bufferLength[4], alignedLength[4];
+        int permutedCount = batchCount * 4;
+
+        for (int i = 0; i < 4; i++)
+        {
+            roiPtrInput[i] = &roiPtrInputCropRegion[i];
+            compute_roi_validation_host(roiPtrInput[i], &roi[i], &roiDefault, roiType);
+            srcPtrImage[i] = srcPtr + (permutedIndices[permutedCount + i] * srcDescPtr->strides.nStride);
+            bufferLength[i] = roi[i].xywhROI.roiWidth * layoutParams.bufferMultiplier;
+            srcPtrChannel[i] = srcPtrImage[i] + (roi[i].xywhROI.xy.y * srcDescPtr->strides.hStride) + (roi[i].xywhROI.xy.x * layoutParams.bufferMultiplier);
+            alignedLength[i] = (bufferLength[i] / 12) * 12;
+        }
+
+        Rpp32f *dstPtrImage, *dstPtrChannel;
+        dstPtrImage = dstPtr + batchCount * dstDescPtr->strides.nStride;
+        dstPtrChannel = dstPtrImage;
+        Rpp32u vectorIncrement = 12;
+        Rpp32u vectorIncrementPerChannel = 4;
+
+        // Ricap with fused output-layout toggle (NHWC -> NCHW)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp32f *srcPtrRow1, *srcPtrRow2, *srcPtrRow3, *srcPtrRow4, *dstPtrRowR, *dstPtrRowG, *dstPtrRowB;
+            srcPtrRow1 = srcPtrChannel[0];
+            srcPtrRow2 = srcPtrChannel[1];
+            srcPtrRow3 = srcPtrChannel[2];
+            srcPtrRow4 = srcPtrChannel[3];
+            dstPtrRowR = dstPtrChannel;
+            dstPtrRowG = dstPtrRowR + dstDescPtr->strides.cStride;
+            dstPtrRowB = dstPtrRowG + dstDescPtr->strides.cStride;
+
+            for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+            {
+                Rpp32f *srcPtrTemp1, *srcPtrTemp2, *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                srcPtrTemp1 = srcPtrRow1;
+                srcPtrTemp2 = srcPtrRow2;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                // Top-Left Quadrant
+                int vectorLoopCount1 = 0;
+                for (; vectorLoopCount1 < alignedLength[0]; vectorLoopCount1 += vectorIncrement)
+                {
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pkd3_to_f32pln3, srcPtrTemp1, p);                             // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp1 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount1 < bufferLength[0]; vectorLoopCount1 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp1[0];
+                    *dstPtrTempG++ = srcPtrTemp1[1];
+                    *dstPtrTempB++ = srcPtrTemp1[2];
+                    srcPtrTemp1 += 3;
+                }
+
+                // Top-Right Quadrant
+                int vectorLoopCount2 = 0;
+                for (; vectorLoopCount2 < alignedLength[1]; vectorLoopCount2 += vectorIncrement)
+                {
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pkd3_to_f32pln3, srcPtrTemp2, p);                             // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp2 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount2 < bufferLength[1]; vectorLoopCount2 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp2[0];
+                    *dstPtrTempG++ = srcPtrTemp2[1];
+                    *dstPtrTempB++ = srcPtrTemp2[2];
+                    srcPtrTemp2 += 3;
+                }
+
+                srcPtrRow1 += srcDescPtr->strides.hStride;
+                srcPtrRow2 += srcDescPtr->strides.hStride;
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+            for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+            {
+                Rpp32f *srcPtrTemp3, *srcPtrTemp4, *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                srcPtrTemp3 = srcPtrRow3;
+                srcPtrTemp4 = srcPtrRow4;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                // Bottom-Left Quadrant
+                int vectorLoopCount3 = 0;
+                for (; vectorLoopCount3 < alignedLength[2]; vectorLoopCount3 += vectorIncrement)
+                {
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pkd3_to_f32pln3, srcPtrTemp3, p);                             // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp3 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount3 < bufferLength[2]; vectorLoopCount3 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp3[0];
+                    *dstPtrTempG++ = srcPtrTemp3[1];
+                    *dstPtrTempB++ = srcPtrTemp3[2];
+                    srcPtrTemp3 += 3;
+                }
+
+                // Bottom-Right Quadrant
+                int vectorLoopCount4 = 0;
+                for (; vectorLoopCount4 < alignedLength[3]; vectorLoopCount4 += vectorIncrement)
+                {
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pkd3_to_f32pln3, srcPtrTemp4, p);                             // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp4 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount4 < bufferLength[3]; vectorLoopCount4 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp4[0];
+                    *dstPtrTempG++ = srcPtrTemp4[1];
+                    *dstPtrTempB++ = srcPtrTemp4[2];
+                    srcPtrTemp4 += 3;
+                }
+
+                srcPtrRow3 += srcDescPtr->strides.hStride;
+                srcPtrRow4 += srcDescPtr->strides.hStride;
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Ricap with fused output-layout toggle (NCHW -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp32f *srcPtrRowR1, *srcPtrRowG1, *srcPtrRowB1, *srcPtrRowR2, *srcPtrRowG2, *srcPtrRowB2, *srcPtrRowR3, *srcPtrRowG3, *srcPtrRowB3, *srcPtrRowR4, *srcPtrRowG4, *srcPtrRowB4, *dstPtrRow;
+            srcPtrRowR1 = srcPtrChannel[0];
+            srcPtrRowG1 = srcPtrRowR1 + srcDescPtr->strides.cStride;
+            srcPtrRowB1 = srcPtrRowG1 + srcDescPtr->strides.cStride;
+            srcPtrRowR2 = srcPtrChannel[1];
+            srcPtrRowG2 = srcPtrRowR2 + srcDescPtr->strides.cStride;
+            srcPtrRowB2 = srcPtrRowG2 + srcDescPtr->strides.cStride;
+            srcPtrRowR3 = srcPtrChannel[2];
+            srcPtrRowG3 = srcPtrRowR3 + srcDescPtr->strides.cStride;
+            srcPtrRowB3 = srcPtrRowG3 + srcDescPtr->strides.cStride;
+            srcPtrRowR4 = srcPtrChannel[3];
+            srcPtrRowG4 = srcPtrRowR4 + srcDescPtr->strides.cStride;
+            srcPtrRowB4 = srcPtrRowG4 + srcDescPtr->strides.cStride;
+            dstPtrRow = dstPtrChannel;
+
+            for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+            {
+                Rpp32f *srcPtrTempR1, *srcPtrTempG1, *srcPtrTempB1, *srcPtrTempR2, *srcPtrTempG2, *srcPtrTempB2, *dstPtrTemp;
+                srcPtrTempR1 = srcPtrRowR1;
+                srcPtrTempG1 = srcPtrRowG1;
+                srcPtrTempB1 = srcPtrRowB1;
+                srcPtrTempR2 = srcPtrRowR2;
+                srcPtrTempG2 = srcPtrRowG2;
+                srcPtrTempB2 = srcPtrRowB2;
+                dstPtrTemp = dstPtrRow;
+
+                // Top-Left Quadrant
+                int vectorLoopCount1 = 0;
+                for (; vectorLoopCount1 < alignedLength[0]; vectorLoopCount1 += vectorIncrementPerChannel)
+                {
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pln3_to_f32pln3, srcPtrTempR1, srcPtrTempG1, srcPtrTempB1, p); // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pkd3, dstPtrTemp, p);                             // simd stores
+                    srcPtrTempR1 += vectorIncrementPerChannel;
+                    srcPtrTempG1 += vectorIncrementPerChannel;
+                    srcPtrTempB1 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount1 < bufferLength[0]; vectorLoopCount1++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR1++;
+                    dstPtrTemp[1] = *srcPtrTempG1++;
+                    dstPtrTemp[2] = *srcPtrTempB1++;
+                    dstPtrTemp += 3;
+                }
+
+                // Top-Right Quadrant
+                int vectorLoopCount2 = 0;
+                for (; vectorLoopCount2 < alignedLength[1]; vectorLoopCount2 += vectorIncrementPerChannel)
+                {
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pln3_to_f32pln3, srcPtrTempR2, srcPtrTempG2, srcPtrTempB2, p); // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pkd3, dstPtrTemp, p);                             // simd stores
+                    srcPtrTempR2 += vectorIncrementPerChannel;
+                    srcPtrTempG2 += vectorIncrementPerChannel;
+                    srcPtrTempB2 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount2 < bufferLength[1]; vectorLoopCount2++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR2++;
+                    dstPtrTemp[1] = *srcPtrTempG2++;
+                    dstPtrTemp[2] = *srcPtrTempB2++;
+                    dstPtrTemp += 3;
+                }
+
+                srcPtrRowR1 += srcDescPtr->strides.hStride;
+                srcPtrRowG1 += srcDescPtr->strides.hStride;
+                srcPtrRowB1 += srcDescPtr->strides.hStride;
+                srcPtrRowR2 += srcDescPtr->strides.hStride;
+                srcPtrRowG2 += srcDescPtr->strides.hStride;
+                srcPtrRowB2 += srcDescPtr->strides.hStride;
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+
+            for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+            {
+                Rpp32f *srcPtrTempR3, *srcPtrTempG3, *srcPtrTempB3, *srcPtrTempR4, *srcPtrTempG4, *srcPtrTempB4, *dstPtrTemp;
+                srcPtrTempR3 = srcPtrRowR3;
+                srcPtrTempG3 = srcPtrRowG3;
+                srcPtrTempB3 = srcPtrRowB3;
+                srcPtrTempR4 = srcPtrRowR4;
+                srcPtrTempG4 = srcPtrRowG4;
+                srcPtrTempB4 = srcPtrRowB4;
+                dstPtrTemp = dstPtrRow;
+
+                // Bottom-Left Quadrant
+                int vectorLoopCount3 = 0;
+                for (; vectorLoopCount3 < alignedLength[2]; vectorLoopCount3 += vectorIncrementPerChannel)
+                {
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pln3_to_f32pln3, srcPtrTempR3, srcPtrTempG3, srcPtrTempB3, p); // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pkd3, dstPtrTemp, p);                             // simd stores
+                    srcPtrTempR3 += vectorIncrementPerChannel;
+                    srcPtrTempG3 += vectorIncrementPerChannel;
+                    srcPtrTempB3 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount3 < bufferLength[2]; vectorLoopCount3++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR3++;
+                    dstPtrTemp[1] = *srcPtrTempG3++;
+                    dstPtrTemp[2] = *srcPtrTempB3++;
+                    dstPtrTemp += 3;
+                }
+
+                // Bottom-Right Quadrant
+                int vectorLoopCount4 = 0;
+                for (; vectorLoopCount4 < alignedLength[3]; vectorLoopCount4 += vectorIncrementPerChannel)
+                {
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pln3_to_f32pln3, srcPtrTempR4, srcPtrTempG4, srcPtrTempB4, p); // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pkd3, dstPtrTemp, p);                             // simd stores
+                    srcPtrTempR4 += vectorIncrementPerChannel;
+                    srcPtrTempG4 += vectorIncrementPerChannel;
+                    srcPtrTempB4 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount4 < bufferLength[3]; vectorLoopCount4++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR4++;
+                    dstPtrTemp[1] = *srcPtrTempG4++;
+                    dstPtrTemp[2] = *srcPtrTempB4++;
+                    dstPtrTemp += 3;
+                }
+
+                srcPtrRowR3 += srcDescPtr->strides.hStride;
+                srcPtrRowG3 += srcDescPtr->strides.hStride;
+                srcPtrRowB3 += srcDescPtr->strides.hStride;
+                srcPtrRowR4 += srcDescPtr->strides.hStride;
+                srcPtrRowG4 += srcDescPtr->strides.hStride;
+                srcPtrRowB4 += srcDescPtr->strides.hStride;
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Ricap without fused output-layout toggle (NHWC -> NHWC or NCHW -> NCHW)
+        else
+        {
+            Rpp32u copyLengthInBytes1 = (bufferLength[0]) * sizeof(Rpp32f);
+            Rpp32u copyLengthInBytes2 = (bufferLength[1]) * sizeof(Rpp32f);
+            Rpp32u copyLengthInBytes3 = (bufferLength[2]) * sizeof(Rpp32f);
+            Rpp32u copyLengthInBytes4 = (bufferLength[3]) * sizeof(Rpp32f);
+
+            for (int c = 0; c < layoutParams.channelParam; c++)
+            {
+                Rpp32f *srcPtrRow1, *srcPtrRow2, *srcPtrRow3, *srcPtrRow4, *dstPtrRow;
+                srcPtrRow1 = srcPtrChannel[0];
+                srcPtrRow2 = srcPtrChannel[1];
+                srcPtrRow3 = srcPtrChannel[2];
+                srcPtrRow4 = srcPtrChannel[3];
+                dstPtrRow = dstPtrChannel;
+
+                for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+                {
+                    Rpp32f *srcPtrTemp1, *srcPtrTemp2, *dstPtrTemp;
+                    srcPtrTemp1 = srcPtrRow1;
+                    srcPtrTemp2 = srcPtrRow2;
+                    dstPtrTemp = dstPtrRow;
+                    memcpy(dstPtrTemp, srcPtrTemp1, copyLengthInBytes1);
+                    dstPtrTemp += bufferLength[0];
+                    memcpy(dstPtrTemp, srcPtrTemp2, copyLengthInBytes2);
+
+                    srcPtrRow1 += srcDescPtr->strides.hStride;
+                    srcPtrRow2 += srcDescPtr->strides.hStride;
+                    dstPtrRow += dstDescPtr->strides.hStride;
+                }
+
+                for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+                {
+                    Rpp32f *srcPtrTemp3, *srcPtrTemp4, *dstPtrTemp;
+                    srcPtrTemp3 = srcPtrRow3;
+                    srcPtrTemp4 = srcPtrRow4;
+                    dstPtrTemp = dstPtrRow;
+                    memcpy(dstPtrTemp, srcPtrTemp3, copyLengthInBytes3);
+                    dstPtrTemp += bufferLength[2];
+                    memcpy(dstPtrTemp, srcPtrTemp4, copyLengthInBytes4);
+
+                    srcPtrRow3 += srcDescPtr->strides.hStride;
+                    srcPtrRow4 += srcDescPtr->strides.hStride;
+                    dstPtrRow += dstDescPtr->strides.hStride;
+                }
+
+                srcPtrChannel[0] += srcDescPtr->strides.cStride;
+                srcPtrChannel[1] += srcDescPtr->strides.cStride;
+                srcPtrChannel[2] += srcDescPtr->strides.cStride;
+                srcPtrChannel[3] += srcDescPtr->strides.cStride;
+                dstPtrChannel += dstDescPtr->strides.cStride;
+            }
+        }
+    }
+
+    return RPP_SUCCESS;
+}
+
+
+RppStatus ricap_f16_f16_host_tensor(Rpp16f *srcPtr,
+                                    RpptDescPtr srcDescPtr,
+                                    Rpp16f *dstPtr,
+                                    RpptDescPtr dstDescPtr,
+                                    Rpp32u *permutedIndices,
+                                    RpptROIPtr roiPtrInputCropRegion,
+                                    RpptRoiType roiType,
+                                    RppLayoutParams layoutParams,
+                                    rpp::Handle& handle)
+{
+    RpptROI roiDefault = {0, 0, (Rpp32s)srcDescPtr->w, (Rpp32s)srcDescPtr->h};
+    Rpp32u numThreads = handle.GetNumThreads();
+
+    omp_set_dynamic(0);
+#pragma omp parallel for num_threads(numThreads)
+    for (int batchCount = 0; batchCount < dstDescPtr->n; batchCount++)
+    {
+        RpptROI roi[4];
+        RpptROIPtr roiPtrInput[4];
+        Rpp16f *srcPtrImage[4], *srcPtrChannel[4];
+        Rpp32u bufferLength[4], alignedLength[4];
+        int permutedCount = batchCount * 4;
+
+        for (int i = 0; i < 4; i++)
+        {
+            roiPtrInput[i] = &roiPtrInputCropRegion[i];
+            compute_roi_validation_host(roiPtrInput[i], &roi[i], &roiDefault, roiType);
+            srcPtrImage[i] = srcPtr + (permutedIndices[permutedCount + i] * srcDescPtr->strides.nStride);
+            bufferLength[i] = roi[i].xywhROI.roiWidth * layoutParams.bufferMultiplier;
+            srcPtrChannel[i] = srcPtrImage[i] + (roi[i].xywhROI.xy.y * srcDescPtr->strides.hStride) + (roi[i].xywhROI.xy.x * layoutParams.bufferMultiplier);
+            alignedLength[i] = (bufferLength[i] / 12) * 12;
+        }
+
+        Rpp16f *dstPtrImage, *dstPtrChannel;
+        dstPtrImage = dstPtr + batchCount * dstDescPtr->strides.nStride;
+        dstPtrChannel = dstPtrImage;
+        Rpp32u vectorIncrement = 12;
+        Rpp32u vectorIncrementPerChannel = 4;
+
+        // ricap with fused output-layout toggle (NHWC -> NCHW)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp16f *srcPtrRow1, *srcPtrRow2, *srcPtrRow3, *srcPtrRow4, *dstPtrRowR, *dstPtrRowG, *dstPtrRowB;
+            srcPtrRow1 = srcPtrChannel[0];
+            srcPtrRow2 = srcPtrChannel[1];
+            srcPtrRow3 = srcPtrChannel[2];
+            srcPtrRow4 = srcPtrChannel[3];
+            dstPtrRowR = dstPtrChannel;
+            dstPtrRowG = dstPtrRowR + dstDescPtr->strides.cStride;
+            dstPtrRowB = dstPtrRowG + dstDescPtr->strides.cStride;
+
+            for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+            {
+                Rpp16f *srcPtrTemp1, *srcPtrTemp2, *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                srcPtrTemp1 = srcPtrRow1;
+                srcPtrTemp2 = srcPtrRow2;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                // Top-Left Quadrant
+                int vectorLoopCount1 = 0;
+                for (; vectorLoopCount1 < alignedLength[0]; vectorLoopCount1 += vectorIncrement)
+                {
+                    Rpp32f srcPtrTemp_ps[12], dstPtrTemp_ps[12];
+                    for(int cnt = 0; cnt < 12; cnt++)
+                        *(srcPtrTemp_ps + cnt) = (Rpp32f) *(srcPtrTemp1 + cnt);
+
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pkd3_to_f32pln3, srcPtrTemp_ps, p);    // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pln3, dstPtrTemp_ps, dstPtrTemp_ps + 4, dstPtrTemp_ps + 8, p);    // simd stores
+
+                    for(int cnt = 0; cnt < 4; cnt++)
+                    {
+                        *(dstPtrTempR + cnt) = (Rpp16f) *(dstPtrTemp_ps + cnt);
+                        *(dstPtrTempG + cnt) = (Rpp16f) *(dstPtrTemp_ps + 4 + cnt);
+                        *(dstPtrTempB + cnt) = (Rpp16f) *(dstPtrTemp_ps + 8 + cnt);
+                    }
+
+                    srcPtrTemp1 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount1 < bufferLength[0]; vectorLoopCount1 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp1[0];
+                    *dstPtrTempG++ = srcPtrTemp1[1];
+                    *dstPtrTempB++ = srcPtrTemp1[2];
+                    srcPtrTemp1 += 3;
+                }
+
+                // Top-Right Quadrant
+                int vectorLoopCount2 = 0;
+                for (; vectorLoopCount2 < alignedLength[1]; vectorLoopCount2 += vectorIncrement)
+                {
+                    Rpp32f srcPtrTemp_ps[12], dstPtrTemp_ps[12];
+                    for(int cnt = 0; cnt < 12; cnt++)
+                        *(srcPtrTemp_ps + cnt) = (Rpp32f) *(srcPtrTemp2 + cnt);
+
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pkd3_to_f32pln3, srcPtrTemp_ps, p);    // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pln3, dstPtrTemp_ps, dstPtrTemp_ps + 4, dstPtrTemp_ps + 8, p);    // simd stores
+
+                    for(int cnt = 0; cnt < 4; cnt++)
+                    {
+                        *(dstPtrTempR + cnt) = (Rpp16f) *(dstPtrTemp_ps + cnt);
+                        *(dstPtrTempG + cnt) = (Rpp16f) *(dstPtrTemp_ps + 4 + cnt);
+                        *(dstPtrTempB + cnt) = (Rpp16f) *(dstPtrTemp_ps + 8 + cnt);
+                    }
+
+                    srcPtrTemp2 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount2 < bufferLength[1]; vectorLoopCount2 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp2[0];
+                    *dstPtrTempG++ = srcPtrTemp2[1];
+                    *dstPtrTempB++ = srcPtrTemp2[2];
+                    srcPtrTemp2 += 3;
+                }
+
+                srcPtrRow1 += srcDescPtr->strides.hStride;
+                srcPtrRow2 += srcDescPtr->strides.hStride;
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+            for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+            {
+                Rpp16f *srcPtrTemp3, *srcPtrTemp4, *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                srcPtrTemp3 = srcPtrRow3;
+                srcPtrTemp4 = srcPtrRow4;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                // Bottom-Left Quadrant
+                int vectorLoopCount3 = 0;
+                for (; vectorLoopCount3 < alignedLength[2]; vectorLoopCount3 += vectorIncrement)
+                {
+                    Rpp32f srcPtrTemp_ps[12], dstPtrTemp_ps[12];
+                    for(int cnt = 0; cnt < 12; cnt++)
+                        *(srcPtrTemp_ps + cnt) = (Rpp32f) *(srcPtrTemp3 + cnt);
+
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pkd3_to_f32pln3, srcPtrTemp_ps, p);    // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pln3, dstPtrTemp_ps, dstPtrTemp_ps + 4, dstPtrTemp_ps + 8, p);    // simd stores
+
+                    for(int cnt = 0; cnt < 4; cnt++)
+                    {
+                        *(dstPtrTempR + cnt) = (Rpp16f) *(dstPtrTemp_ps + cnt);
+                        *(dstPtrTempG + cnt) = (Rpp16f) *(dstPtrTemp_ps + 4 + cnt);
+                        *(dstPtrTempB + cnt) = (Rpp16f) *(dstPtrTemp_ps + 8 + cnt);
+                    }
+
+                    srcPtrTemp3 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount3 < bufferLength[2]; vectorLoopCount3 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp3[0];
+                    *dstPtrTempG++ = srcPtrTemp3[1];
+                    *dstPtrTempB++ = srcPtrTemp3[2];
+                    srcPtrTemp3 += 3;
+                }
+
+                // Bottom-Right Quadrant
+                int vectorLoopCount4 = 0;
+                for (; vectorLoopCount4 < alignedLength[3]; vectorLoopCount4 += vectorIncrement)
+                {
+                    Rpp32f srcPtrTemp_ps[12], dstPtrTemp_ps[12];
+                    for(int cnt = 0; cnt < 12; cnt++)
+                        *(srcPtrTemp_ps + cnt) = (Rpp32f) *(srcPtrTemp4 + cnt);
+
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pkd3_to_f32pln3, srcPtrTemp_ps, p);    // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pln3, dstPtrTemp_ps, dstPtrTemp_ps + 4, dstPtrTemp_ps + 8, p);    // simd stores
+
+                    for(int cnt = 0; cnt < 4; cnt++)
+                    {
+                        *(dstPtrTempR + cnt) = (Rpp16f) *(dstPtrTemp_ps + cnt);
+                        *(dstPtrTempG + cnt) = (Rpp16f) *(dstPtrTemp_ps + 4 + cnt);
+                        *(dstPtrTempB + cnt) = (Rpp16f) *(dstPtrTemp_ps + 8 + cnt);
+                    }
+
+                    srcPtrTemp4 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount4 < bufferLength[3]; vectorLoopCount4 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp4[0];
+                    *dstPtrTempG++ = srcPtrTemp4[1];
+                    *dstPtrTempB++ = srcPtrTemp4[2];
+                    srcPtrTemp4 += 3;
+                }
+
+                srcPtrRow3 += srcDescPtr->strides.hStride;
+                srcPtrRow4 += srcDescPtr->strides.hStride;
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Ricap with fused output-layout toggle (NCHW -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp16f *srcPtrRowR1, *srcPtrRowG1, *srcPtrRowB1, *srcPtrRowR2, *srcPtrRowG2, *srcPtrRowB2, *srcPtrRowR3, *srcPtrRowG3, *srcPtrRowB3, *srcPtrRowR4, *srcPtrRowG4, *srcPtrRowB4, *dstPtrRow;
+            srcPtrRowR1 = srcPtrChannel[0];
+            srcPtrRowG1 = srcPtrRowR1 + srcDescPtr->strides.cStride;
+            srcPtrRowB1 = srcPtrRowG1 + srcDescPtr->strides.cStride;
+            srcPtrRowR2 = srcPtrChannel[1];
+            srcPtrRowG2 = srcPtrRowR2 + srcDescPtr->strides.cStride;
+            srcPtrRowB2 = srcPtrRowG2 + srcDescPtr->strides.cStride;
+            srcPtrRowR3 = srcPtrChannel[2];
+            srcPtrRowG3 = srcPtrRowR3 + srcDescPtr->strides.cStride;
+            srcPtrRowB3 = srcPtrRowG3 + srcDescPtr->strides.cStride;
+            srcPtrRowR4 = srcPtrChannel[3];
+            srcPtrRowG4 = srcPtrRowR4 + srcDescPtr->strides.cStride;
+            srcPtrRowB4 = srcPtrRowG4 + srcDescPtr->strides.cStride;
+            dstPtrRow = dstPtrChannel;
+
+            for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+            {
+                Rpp16f *srcPtrTempR1, *srcPtrTempG1, *srcPtrTempB1, *srcPtrTempR2, *srcPtrTempG2, *srcPtrTempB2, *dstPtrTemp;
+                srcPtrTempR1 = srcPtrRowR1;
+                srcPtrTempG1 = srcPtrRowG1;
+                srcPtrTempB1 = srcPtrRowB1;
+                srcPtrTempR2 = srcPtrRowR2;
+                srcPtrTempG2 = srcPtrRowG2;
+                srcPtrTempB2 = srcPtrRowB2;
+                dstPtrTemp = dstPtrRow;
+
+                // Top-Left Quadrant
+                int vectorLoopCount1 = 0;
+                for (; vectorLoopCount1 < alignedLength[0]; vectorLoopCount1 += vectorIncrementPerChannel)
+                {
+                    Rpp32f srcPtrTemp_ps[12], dstPtrTemp_ps[13];
+                    for(int cnt = 0; cnt < 4; cnt++)
+                    {
+                        *(srcPtrTemp_ps + cnt) = (Rpp32f) *(srcPtrTempR1 + cnt);
+                        *(srcPtrTemp_ps + 4 + cnt) = (Rpp32f) *(srcPtrTempG1 + cnt);
+                        *(srcPtrTemp_ps + 8 + cnt) = (Rpp32f) *(srcPtrTempB1 + cnt);
+                    }
+
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pln3_to_f32pln3, srcPtrTemp_ps, srcPtrTemp_ps + 4, srcPtrTemp_ps + 8, p);    // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pkd3, dstPtrTemp_ps, p);    // simd stores
+
+                    for(int cnt = 0; cnt < 12; cnt++)
+                        *(dstPtrTemp + cnt) = (Rpp16f) *(dstPtrTemp_ps + cnt);
+
+                    srcPtrTempR1 += vectorIncrementPerChannel;
+                    srcPtrTempG1 += vectorIncrementPerChannel;
+                    srcPtrTempB1 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount1 < bufferLength[0]; vectorLoopCount1++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR1++;
+                    dstPtrTemp[1] = *srcPtrTempG1++;
+                    dstPtrTemp[2] = *srcPtrTempB1++;
+                    dstPtrTemp += 3;
+                }
+
+                // Top-Right Quadrant
+                int vectorLoopCount2 = 0;
+                for (; vectorLoopCount2 < alignedLength[1]; vectorLoopCount2 += vectorIncrementPerChannel)
+                {
+                    Rpp32f srcPtrTemp_ps[12], dstPtrTemp_ps[13];
+                    for(int cnt = 0; cnt < 4; cnt++)
+                    {
+                        *(srcPtrTemp_ps + cnt) = (Rpp32f) *(srcPtrTempR2 + cnt);
+                        *(srcPtrTemp_ps + 4 + cnt) = (Rpp32f) *(srcPtrTempG2 + cnt);
+                        *(srcPtrTemp_ps + 8 + cnt) = (Rpp32f) *(srcPtrTempB2 + cnt);
+                    }
+
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pln3_to_f32pln3, srcPtrTemp_ps, srcPtrTemp_ps + 4, srcPtrTemp_ps + 8, p);    // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pkd3, dstPtrTemp_ps, p);    // simd stores
+
+                    for(int cnt = 0; cnt < 12; cnt++)
+                        *(dstPtrTemp + cnt) = (Rpp16f) *(dstPtrTemp_ps + cnt);
+
+                    srcPtrTempR2 += vectorIncrementPerChannel;
+                    srcPtrTempG2 += vectorIncrementPerChannel;
+                    srcPtrTempB2 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount2 < bufferLength[1]; vectorLoopCount2++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR2++;
+                    dstPtrTemp[1] = *srcPtrTempG2++;
+                    dstPtrTemp[2] = *srcPtrTempB2++;
+                    dstPtrTemp += 3;
+                }
+
+                srcPtrRowR1 += srcDescPtr->strides.hStride;
+                srcPtrRowG1 += srcDescPtr->strides.hStride;
+                srcPtrRowB1 += srcDescPtr->strides.hStride;
+                srcPtrRowR2 += srcDescPtr->strides.hStride;
+                srcPtrRowG2 += srcDescPtr->strides.hStride;
+                srcPtrRowB2 += srcDescPtr->strides.hStride;
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+
+            for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+            {
+                Rpp16f *srcPtrTempR3, *srcPtrTempG3, *srcPtrTempB3, *srcPtrTempR4, *srcPtrTempG4, *srcPtrTempB4, *dstPtrTemp;
+                srcPtrTempR3 = srcPtrRowR3;
+                srcPtrTempG3 = srcPtrRowG3;
+                srcPtrTempB3 = srcPtrRowB3;
+                srcPtrTempR4 = srcPtrRowR4;
+                srcPtrTempG4 = srcPtrRowG4;
+                srcPtrTempB4 = srcPtrRowB4;
+                dstPtrTemp = dstPtrRow;
+
+                // Bottom-Left Quadrant
+                int vectorLoopCount3 = 0;
+                for (; vectorLoopCount3 < alignedLength[2]; vectorLoopCount3 += vectorIncrementPerChannel)
+                {
+                    Rpp32f srcPtrTemp_ps[12], dstPtrTemp_ps[13];
+                    for(int cnt = 0; cnt < 4; cnt++)
+                    {
+                        *(srcPtrTemp_ps + cnt) = (Rpp32f) *(srcPtrTempR3 + cnt);
+                        *(srcPtrTemp_ps + 4 + cnt) = (Rpp32f) *(srcPtrTempG3 + cnt);
+                        *(srcPtrTemp_ps + 8 + cnt) = (Rpp32f) *(srcPtrTempB3 + cnt);
+                    }
+
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pln3_to_f32pln3, srcPtrTemp_ps, srcPtrTemp_ps + 4, srcPtrTemp_ps + 8, p);    // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pkd3, dstPtrTemp_ps, p);    // simd stores
+
+                    for(int cnt = 0; cnt < 12; cnt++)
+                        *(dstPtrTemp + cnt) = (Rpp16f) *(dstPtrTemp_ps + cnt);
+
+                    srcPtrTempR3 += vectorIncrementPerChannel;
+                    srcPtrTempG3 += vectorIncrementPerChannel;
+                    srcPtrTempB3 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount3 < bufferLength[2]; vectorLoopCount3++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR3++;
+                    dstPtrTemp[1] = *srcPtrTempG3++;
+                    dstPtrTemp[2] = *srcPtrTempB3++;
+                    dstPtrTemp += 3;
+                }
+
+                // Bottom-Right Quadrant
+                int vectorLoopCount4 = 0;
+                for (; vectorLoopCount4 < alignedLength[3]; vectorLoopCount4 += vectorIncrementPerChannel)
+                {
+                    Rpp32f srcPtrTemp_ps[12], dstPtrTemp_ps[13];
+                    for(int cnt = 0; cnt < 4; cnt++)
+                    {
+                        *(srcPtrTemp_ps + cnt) = (Rpp32f) *(srcPtrTempR4 + cnt);
+                        *(srcPtrTemp_ps + 4 + cnt) = (Rpp32f) *(srcPtrTempG4 + cnt);
+                        *(srcPtrTemp_ps + 8 + cnt) = (Rpp32f) *(srcPtrTempB4 + cnt);
+                    }
+
+                    __m128 p[4];
+                    rpp_simd_load(rpp_load12_f32pln3_to_f32pln3, srcPtrTemp_ps, srcPtrTemp_ps + 4, srcPtrTemp_ps + 8, p);    // simd loads
+                    rpp_simd_store(rpp_store12_f32pln3_to_f32pkd3, dstPtrTemp_ps, p);    // simd stores
+
+                    for(int cnt = 0; cnt < 12; cnt++)
+                        *(dstPtrTemp + cnt) = (Rpp16f) *(dstPtrTemp_ps + cnt);
+
+                    srcPtrTempR4 += vectorIncrementPerChannel;
+                    srcPtrTempG4 += vectorIncrementPerChannel;
+                    srcPtrTempB4 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount4 < bufferLength[3]; vectorLoopCount4++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR4++;
+                    dstPtrTemp[1] = *srcPtrTempG4++;
+                    dstPtrTemp[2] = *srcPtrTempB4++;
+                    dstPtrTemp += 3;
+                }
+
+                srcPtrRowR3 += srcDescPtr->strides.hStride;
+                srcPtrRowG3 += srcDescPtr->strides.hStride;
+                srcPtrRowB3 += srcDescPtr->strides.hStride;
+                srcPtrRowR4 += srcDescPtr->strides.hStride;
+                srcPtrRowG4 += srcDescPtr->strides.hStride;
+                srcPtrRowB4 += srcDescPtr->strides.hStride;
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Ricap without fused output-layout toggle (NHWC -> NHWC or NCHW -> NCHW)
+        else
+        {
+            Rpp32u copyLengthInBytes1 = (bufferLength[0]) * sizeof(Rpp16f);
+            Rpp32u copyLengthInBytes2 = (bufferLength[1]) * sizeof(Rpp16f);
+            Rpp32u copyLengthInBytes3 = (bufferLength[2]) * sizeof(Rpp16f);
+            Rpp32u copyLengthInBytes4 = (bufferLength[3]) * sizeof(Rpp16f);
+
+            for (int c = 0; c < layoutParams.channelParam; c++)
+            {
+                Rpp16f *srcPtrRow1, *srcPtrRow2, *srcPtrRow3, *srcPtrRow4, *dstPtrRow;
+                srcPtrRow1 = srcPtrChannel[0];
+                srcPtrRow2 = srcPtrChannel[1];
+                srcPtrRow3 = srcPtrChannel[2];
+                srcPtrRow4 = srcPtrChannel[3];
+                dstPtrRow = dstPtrChannel;
+
+                for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+                {
+                    Rpp16f *srcPtrTemp1, *srcPtrTemp2, *dstPtrTemp;
+                    srcPtrTemp1 = srcPtrRow1;
+                    srcPtrTemp2 = srcPtrRow2;
+                    dstPtrTemp = dstPtrRow;
+
+                    memcpy(dstPtrTemp, srcPtrTemp1, copyLengthInBytes1);
+                    dstPtrTemp += bufferLength[0];
+                    memcpy(dstPtrTemp, srcPtrTemp2, copyLengthInBytes2);
+                    srcPtrRow1 += srcDescPtr->strides.hStride;
+                    srcPtrRow2 += srcDescPtr->strides.hStride;
+                    dstPtrRow += dstDescPtr->strides.hStride;
+                }
+
+                for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+                {
+                    Rpp16f *srcPtrTemp3, *srcPtrTemp4, *dstPtrTemp;
+                    srcPtrTemp3 = srcPtrRow3;
+                    srcPtrTemp4 = srcPtrRow4;
+                    dstPtrTemp = dstPtrRow;
+                    memcpy(dstPtrTemp, srcPtrTemp3, copyLengthInBytes3);
+                    dstPtrTemp += bufferLength[2];
+                    memcpy(dstPtrTemp, srcPtrTemp4, copyLengthInBytes4);
+
+                    srcPtrRow3 += srcDescPtr->strides.hStride;
+                    srcPtrRow4 += srcDescPtr->strides.hStride;
+                    dstPtrRow += dstDescPtr->strides.hStride;
+                }
+
+                srcPtrChannel[0] += srcDescPtr->strides.cStride;
+                srcPtrChannel[1] += srcDescPtr->strides.cStride;
+                srcPtrChannel[2] += srcDescPtr->strides.cStride;
+                srcPtrChannel[3] += srcDescPtr->strides.cStride;
+                dstPtrChannel += dstDescPtr->strides.cStride;
+            }
+        }
+    }
+
+    return RPP_SUCCESS;
+}
+
+RppStatus ricap_i8_i8_host_tensor(Rpp8s *srcPtr,
+                                  RpptDescPtr srcDescPtr,
+                                  Rpp8s *dstPtr,
+                                  RpptDescPtr dstDescPtr,
+                                  Rpp32u *permutedIndices,
+                                  RpptROIPtr roiPtrInputCropRegion,
+                                  RpptRoiType roiType,
+                                  RppLayoutParams layoutParams,
+                                  rpp::Handle& handle)
+{
+    RpptROI roiDefault = {0, 0, (Rpp32s)srcDescPtr->w, (Rpp32s)srcDescPtr->h};
+    Rpp32u numThreads = handle.GetNumThreads();
+
+    omp_set_dynamic(0);
+#pragma omp parallel for num_threads(numThreads)
+    for (int batchCount = 0; batchCount < dstDescPtr->n; batchCount++)
+    {
+        RpptROI roi[4];
+        RpptROIPtr roiPtrInput[4];
+        Rpp8s *srcPtrImage[4], *srcPtrChannel[4];
+        Rpp32u bufferLength[4], alignedLength[4];
+        int permutedCount = batchCount * 4;
+
+        for (int i = 0; i < 4; i++)
+        {
+            roiPtrInput[i] = &roiPtrInputCropRegion[i];
+            compute_roi_validation_host(roiPtrInput[i], &roi[i], &roiDefault, roiType);
+            srcPtrImage[i] = srcPtr + (permutedIndices[permutedCount + i] * srcDescPtr->strides.nStride);
+            bufferLength[i] = roi[i].xywhROI.roiWidth * layoutParams.bufferMultiplier;
+            srcPtrChannel[i] = srcPtrImage[i] + (roi[i].xywhROI.xy.y * srcDescPtr->strides.hStride) + (roi[i].xywhROI.xy.x * layoutParams.bufferMultiplier);
+            alignedLength[i] = (bufferLength[i] / 48) * 48;
+        }
+
+        Rpp8s *dstPtrImage, *dstPtrChannel;
+        dstPtrImage = dstPtr + batchCount * dstDescPtr->strides.nStride;
+        dstPtrChannel = dstPtrImage;
+        Rpp32u vectorIncrement = 48;
+        Rpp32u vectorIncrementPerChannel = 16;
+
+        // Ricap with fused output-layout toggle (NHWC -> NCHW)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp8s *srcPtrRow1, *srcPtrRow2, *srcPtrRow3, *srcPtrRow4, *dstPtrRowR, *dstPtrRowG, *dstPtrRowB;
+            srcPtrRow1 = srcPtrChannel[0];
+            srcPtrRow2 = srcPtrChannel[1];
+            srcPtrRow3 = srcPtrChannel[2];
+            srcPtrRow4 = srcPtrChannel[3];
+            dstPtrRowR = dstPtrChannel;
+            dstPtrRowG = dstPtrRowR + dstDescPtr->strides.cStride;
+            dstPtrRowB = dstPtrRowG + dstDescPtr->strides.cStride;
+
+            for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+            {
+                Rpp8s *srcPtrTemp1, *srcPtrTemp2, *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                srcPtrTemp1 = srcPtrRow1;
+                srcPtrTemp2 = srcPtrRow2;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                // Top-Left Quadrant
+                int vectorLoopCount1 = 0;
+                for (; vectorLoopCount1 < alignedLength[0]; vectorLoopCount1 += vectorIncrement)
+                {
+                    __m128i p[3];
+                    rpp_simd_load(rpp_load48_i8pkd3_to_i8pln3, srcPtrTemp1, p);                             // simd loads
+                    rpp_simd_store(rpp_store48_i8pln3_to_i8pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp1 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount1 < bufferLength[0]; vectorLoopCount1 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp1[0];
+                    *dstPtrTempG++ = srcPtrTemp1[1];
+                    *dstPtrTempB++ = srcPtrTemp1[2];
+                    srcPtrTemp1 += 3;
+                }
+
+                // Top-Right Quadrant
+                int vectorLoopCount2 = 0;
+                for (; vectorLoopCount2 < alignedLength[1]; vectorLoopCount2 += vectorIncrement)
+                {
+                    __m128i p[3];
+                    rpp_simd_load(rpp_load48_i8pkd3_to_i8pln3, srcPtrTemp2, p);                             // simd loads
+                    rpp_simd_store(rpp_store48_i8pln3_to_i8pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp2 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount2 < bufferLength[1]; vectorLoopCount2 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp2[0];
+                    *dstPtrTempG++ = srcPtrTemp2[1];
+                    *dstPtrTempB++ = srcPtrTemp2[2];
+                    srcPtrTemp2 += 3;
+                }
+
+                srcPtrRow1 += srcDescPtr->strides.hStride;
+                srcPtrRow2 += srcDescPtr->strides.hStride;
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+            for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+            {
+                Rpp8s *srcPtrTemp3, *srcPtrTemp4, *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                srcPtrTemp3 = srcPtrRow3;
+                srcPtrTemp4 = srcPtrRow4;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                // Bottom-Left Quadrant
+                int vectorLoopCount3 = 0;
+                for (; vectorLoopCount3 < alignedLength[2]; vectorLoopCount3 += vectorIncrement)
+                {
+                    __m128i p[3];
+                    rpp_simd_load(rpp_load48_i8pkd3_to_i8pln3, srcPtrTemp3, p);                             // simd loads
+                    rpp_simd_store(rpp_store48_i8pln3_to_i8pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp3 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount3 < bufferLength[2]; vectorLoopCount3 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp3[0];
+                    *dstPtrTempG++ = srcPtrTemp3[1];
+                    *dstPtrTempB++ = srcPtrTemp3[2];
+                    srcPtrTemp3 += 3;
+                }
+
+                // Bottom-Right Quadrant
+                int vectorLoopCount4 = 0;
+                for (; vectorLoopCount4 < alignedLength[3]; vectorLoopCount4 += vectorIncrement)
+                {
+                    __m128i p[3];
+                    rpp_simd_load(rpp_load48_i8pkd3_to_i8pln3, srcPtrTemp4, p);                             // simd loads
+                    rpp_simd_store(rpp_store48_i8pln3_to_i8pln3, dstPtrTempR, dstPtrTempG, dstPtrTempB, p); // simd stores
+                    srcPtrTemp4 += vectorIncrement;
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount4 < bufferLength[3]; vectorLoopCount4 += 3)
+                {
+                    *dstPtrTempR++ = srcPtrTemp4[0];
+                    *dstPtrTempG++ = srcPtrTemp4[1];
+                    *dstPtrTempB++ = srcPtrTemp4[2];
+                    srcPtrTemp4 += 3;
+                }
+
+                srcPtrRow3 += srcDescPtr->strides.hStride;
+                srcPtrRow4 += srcDescPtr->strides.hStride;
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Ricap with fused output-layout toggle (NCHW -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp8s *srcPtrRowR1, *srcPtrRowG1, *srcPtrRowB1, *srcPtrRowR2, *srcPtrRowG2, *srcPtrRowB2, *srcPtrRowR3, *srcPtrRowG3, *srcPtrRowB3, *srcPtrRowR4, *srcPtrRowG4, *srcPtrRowB4, *dstPtrRow;
+            srcPtrRowR1 = srcPtrChannel[0];
+            srcPtrRowG1 = srcPtrRowR1 + srcDescPtr->strides.cStride;
+            srcPtrRowB1 = srcPtrRowG1 + srcDescPtr->strides.cStride;
+            srcPtrRowR2 = srcPtrChannel[1];
+            srcPtrRowG2 = srcPtrRowR2 + srcDescPtr->strides.cStride;
+            srcPtrRowB2 = srcPtrRowG2 + srcDescPtr->strides.cStride;
+            srcPtrRowR3 = srcPtrChannel[2];
+            srcPtrRowG3 = srcPtrRowR3 + srcDescPtr->strides.cStride;
+            srcPtrRowB3 = srcPtrRowG3 + srcDescPtr->strides.cStride;
+            srcPtrRowR4 = srcPtrChannel[3];
+            srcPtrRowG4 = srcPtrRowR4 + srcDescPtr->strides.cStride;
+            srcPtrRowB4 = srcPtrRowG4 + srcDescPtr->strides.cStride;
+
+            dstPtrRow = dstPtrChannel;
+
+            for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+            {
+                Rpp8s *srcPtrTempR1, *srcPtrTempG1, *srcPtrTempB1, *srcPtrTempR2, *srcPtrTempG2, *srcPtrTempB2, *dstPtrTemp;
+                srcPtrTempR1 = srcPtrRowR1;
+                srcPtrTempG1 = srcPtrRowG1;
+                srcPtrTempB1 = srcPtrRowB1;
+                srcPtrTempR2 = srcPtrRowR2;
+                srcPtrTempG2 = srcPtrRowG2;
+                srcPtrTempB2 = srcPtrRowB2;
+                dstPtrTemp = dstPtrRow;
+
+                // Top-Left Quadrant
+                int vectorLoopCount1 = 0;
+                for (; vectorLoopCount1 < alignedLength[0]; vectorLoopCount1 += vectorIncrementPerChannel)
+                {
+                    __m128i px[3];
+                    rpp_simd_load(rpp_load48_i8pln3_to_i8pln3, srcPtrTempR1, srcPtrTempG1, srcPtrTempB1, px); // simd loads
+                    rpp_simd_store(rpp_store48_i8pln3_to_i8pkd3, dstPtrTemp, px);                             // simd stores
+                    srcPtrTempR1 += vectorIncrementPerChannel;
+                    srcPtrTempG1 += vectorIncrementPerChannel;
+                    srcPtrTempB1 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount1 < bufferLength[0]; vectorLoopCount1++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR1++;
+                    dstPtrTemp[1] = *srcPtrTempG1++;
+                    dstPtrTemp[2] = *srcPtrTempB1++;
+                    dstPtrTemp += 3;
+                }
+
+                // Top-Right Quadrant
+                int vectorLoopCount2 = 0;
+                for (; vectorLoopCount2 < alignedLength[1]; vectorLoopCount2 += vectorIncrementPerChannel)
+                {
+                    __m128i px[3];
+                    rpp_simd_load(rpp_load48_i8pln3_to_i8pln3, srcPtrTempR2, srcPtrTempG2, srcPtrTempB2, px); // simd loads
+                    rpp_simd_store(rpp_store48_i8pln3_to_i8pkd3, dstPtrTemp, px);                             // simd stores
+                    srcPtrTempR2 += vectorIncrementPerChannel;
+                    srcPtrTempG2 += vectorIncrementPerChannel;
+                    srcPtrTempB2 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount2 < bufferLength[1]; vectorLoopCount2++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR2++;
+                    dstPtrTemp[1] = *srcPtrTempG2++;
+                    dstPtrTemp[2] = *srcPtrTempB2++;
+                    dstPtrTemp += 3;
+                }
+
+                srcPtrRowR1 += srcDescPtr->strides.hStride;
+                srcPtrRowG1 += srcDescPtr->strides.hStride;
+                srcPtrRowB1 += srcDescPtr->strides.hStride;
+                srcPtrRowR2 += srcDescPtr->strides.hStride;
+                srcPtrRowG2 += srcDescPtr->strides.hStride;
+                srcPtrRowB2 += srcDescPtr->strides.hStride;
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+
+            for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+            {
+                Rpp8s *srcPtrTempR3, *srcPtrTempG3, *srcPtrTempB3, *srcPtrTempR4, *srcPtrTempG4, *srcPtrTempB4, *dstPtrTemp;
+                srcPtrTempR3 = srcPtrRowR3;
+                srcPtrTempG3 = srcPtrRowG3;
+                srcPtrTempB3 = srcPtrRowB3;
+                srcPtrTempR4 = srcPtrRowR4;
+                srcPtrTempG4 = srcPtrRowG4;
+                srcPtrTempB4 = srcPtrRowB4;
+
+                dstPtrTemp = dstPtrRow;
+
+                // Bottom-Left Quadrant
+                int vectorLoopCount3 = 0;
+                for (; vectorLoopCount3 < alignedLength[2]; vectorLoopCount3 += vectorIncrementPerChannel)
+                {
+                    __m128i px[3];
+                    rpp_simd_load(rpp_load48_i8pln3_to_i8pln3, srcPtrTempR3, srcPtrTempG3, srcPtrTempB3, px); // simd loads
+                    rpp_simd_store(rpp_store48_i8pln3_to_i8pkd3, dstPtrTemp, px);                             // simd stores
+                    srcPtrTempR3 += vectorIncrementPerChannel;
+                    srcPtrTempG3 += vectorIncrementPerChannel;
+                    srcPtrTempB3 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount3 < bufferLength[2]; vectorLoopCount3++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR3++;
+                    dstPtrTemp[1] = *srcPtrTempG3++;
+                    dstPtrTemp[2] = *srcPtrTempB3++;
+                    dstPtrTemp += 3;
+                }
+
+                // Bottom-Right Quadrant
+                int vectorLoopCount4 = 0;
+                for (; vectorLoopCount4 < alignedLength[3]; vectorLoopCount4 += vectorIncrementPerChannel)
+                {
+                    __m128i px[3];
+                    rpp_simd_load(rpp_load48_i8pln3_to_i8pln3, srcPtrTempR4, srcPtrTempG4, srcPtrTempB4, px); // simd loads
+                    rpp_simd_store(rpp_store48_i8pln3_to_i8pkd3, dstPtrTemp, px);                             // simd stores
+                    srcPtrTempR4 += vectorIncrementPerChannel;
+                    srcPtrTempG4 += vectorIncrementPerChannel;
+                    srcPtrTempB4 += vectorIncrementPerChannel;
+                    dstPtrTemp += vectorIncrement;
+                }
+                for (; vectorLoopCount4 < bufferLength[3]; vectorLoopCount4++)
+                {
+                    dstPtrTemp[0] = *srcPtrTempR4++;
+                    dstPtrTemp[1] = *srcPtrTempG4++;
+                    dstPtrTemp[2] = *srcPtrTempB4++;
+                    dstPtrTemp += 3;
+                }
+
+                srcPtrRowR3 += srcDescPtr->strides.hStride;
+                srcPtrRowG3 += srcDescPtr->strides.hStride;
+                srcPtrRowB3 += srcDescPtr->strides.hStride;
+                srcPtrRowR4 += srcDescPtr->strides.hStride;
+                srcPtrRowG4 += srcDescPtr->strides.hStride;
+                srcPtrRowB4 += srcDescPtr->strides.hStride;
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Ricap without fused output-layout toggle (NHWC -> NHWC or NCHW -> NCHW)
+        else
+        {
+            for (int c = 0; c < layoutParams.channelParam; c++)
+            {
+                Rpp8s *srcPtrRow1, *srcPtrRow2, *srcPtrRow3, *srcPtrRow4, *dstPtrRow;
+                srcPtrRow1 = srcPtrChannel[0];
+                srcPtrRow2 = srcPtrChannel[1];
+                srcPtrRow3 = srcPtrChannel[2];
+                srcPtrRow4 = srcPtrChannel[3];
+                dstPtrRow = dstPtrChannel;
+
+                for (int i = 0; i < roi[0].xywhROI.roiHeight; i++)
+                {
+                    Rpp8s *srcPtrTemp1, *srcPtrTemp2, *dstPtrTemp;
+                    srcPtrTemp1 = srcPtrRow1;
+                    srcPtrTemp2 = srcPtrRow2;
+                    dstPtrTemp = dstPtrRow;
+                    memcpy(dstPtrTemp, srcPtrTemp1, bufferLength[0]);
+                    dstPtrTemp += bufferLength[0];
+                    memcpy(dstPtrTemp, srcPtrTemp2, bufferLength[1]);
+
+                    srcPtrRow1 += srcDescPtr->strides.hStride;
+                    srcPtrRow2 += srcDescPtr->strides.hStride;
+                    dstPtrRow += dstDescPtr->strides.hStride;
+                }
+
+                for (int i = 0; i < roi[2].xywhROI.roiHeight; i++)
+                {
+                    Rpp8s *srcPtrTemp3, *srcPtrTemp4, *dstPtrTemp;
+                    srcPtrTemp3 = srcPtrRow3;
+                    srcPtrTemp4 = srcPtrRow4;
+                    dstPtrTemp = dstPtrRow;
+                    memcpy(dstPtrTemp, srcPtrTemp3, bufferLength[2]);
+                    dstPtrTemp += bufferLength[2];
+                    memcpy(dstPtrTemp, srcPtrTemp4, bufferLength[3]);
+
+                    srcPtrRow3 += srcDescPtr->strides.hStride;
+                    srcPtrRow4 += srcDescPtr->strides.hStride;
+                    dstPtrRow += dstDescPtr->strides.hStride;
+                }
+
+                srcPtrChannel[0] += srcDescPtr->strides.cStride;
+                srcPtrChannel[1] += srcDescPtr->strides.cStride;
+                srcPtrChannel[2] += srcDescPtr->strides.cStride;
+                srcPtrChannel[3] += srcDescPtr->strides.cStride;
+                dstPtrChannel += dstDescPtr->strides.cStride;
+            }
+        }
+    }
+
+    return RPP_SUCCESS;
+}
diff --git a/src/modules/cpu/kernel/water.hpp b/src/modules/cpu/kernel/water.hpp
new file mode 100644
index 000000000..86aa3075b
--- /dev/null
+++ b/src/modules/cpu/kernel/water.hpp
@@ -0,0 +1,966 @@
+#include "rppdefs.h"
+#include "rpp_cpu_simd.hpp"
+#include "rpp_cpu_common.hpp"
+
+inline void compute_water_src_loc_avx(__m256 &pDstY, __m256 &pDstX, __m256 &pSrcY, __m256 &pSrcX, __m256 *pWaterParams,
+                                      __m256 &pSinFactor, __m256 &pCosFactor, __m256 &pRowLimit, __m256 &pColLimit,
+                                      __m256 &pSrcStrideH, Rpp32s *srcLocArray, bool hasRGBChannels = false)
+{
+    pSrcY = _mm256_fmadd_ps(pWaterParams[1], pCosFactor, pDstY);
+    pSrcX = _mm256_fmadd_ps(pWaterParams[0], pSinFactor, pDstX);
+    pDstX = _mm256_add_ps(pDstX, avx_p8);
+}
+
+inline void compute_water_src_loc(Rpp32f dstY, Rpp32f dstX, Rpp32f &srcY, Rpp32f &srcX, Rpp32f amplY, Rpp32f amplX,
+                                  Rpp32f sinFactor, Rpp32f cosFactor, RpptROI *roiLTRB)
+{
+    srcY = dstY + amplY * cosFactor;
+    srcX = dstX + amplX * sinFactor;
+}
+
+RppStatus water_u8_u8_host_tensor(Rpp8u *srcPtr,
+                                  RpptDescPtr srcDescPtr,
+                                  Rpp8u *dstPtr,
+                                  RpptDescPtr dstDescPtr,
+                                  Rpp32f *amplitudeXTensor,
+                                  Rpp32f *amplitudeYTensor,
+                                  Rpp32f *frequencyXTensor,
+                                  Rpp32f *frequencyYTensor,
+                                  Rpp32f *phaseXTensor,
+                                  Rpp32f *phaseYTensor,
+                                  RpptROIPtr roiTensorPtrSrc,
+                                  RpptRoiType roiType,
+                                  RppLayoutParams layoutParams,
+                                  rpp::Handle& handle)
+{
+    RpptROI roiDefault = {0, 0, static_cast<Rpp32s>(srcDescPtr->w), static_cast<Rpp32s>(srcDescPtr->h)};
+    Rpp32u numThreads = handle.GetNumThreads();
+
+    omp_set_dynamic(0);
+#pragma omp parallel for num_threads(numThreads)
+    for(int batchCount = 0; batchCount < dstDescPtr->n; batchCount++)
+    {
+        RpptROI roi, roiLTRB;
+        RpptROIPtr roiPtrInput = &roiTensorPtrSrc[batchCount];
+        compute_roi_validation_host(roiPtrInput, &roi, &roiDefault, roiType);
+        compute_ltrb_from_xywh_host(&roi, &roiLTRB);
+
+        Rpp8u *srcPtrImage, *dstPtrImage;
+        srcPtrImage = srcPtr + batchCount * srcDescPtr->strides.nStride;
+        dstPtrImage = dstPtr + batchCount * dstDescPtr->strides.nStride;
+
+        Rpp32f amplX = amplitudeXTensor[batchCount];
+        Rpp32f amplY = amplitudeYTensor[batchCount];
+        Rpp32f freqX = frequencyXTensor[batchCount];
+        Rpp32f freqY = frequencyYTensor[batchCount];
+        Rpp32f phaseX = phaseXTensor[batchCount];
+        Rpp32f phaseY = phaseYTensor[batchCount];
+
+        Rpp32u bufferLength = roi.xywhROI.roiWidth;
+        Rpp8u *srcPtrChannel, *dstPtrChannel;
+        srcPtrChannel = srcPtrImage + (roi.xywhROI.xy.y * srcDescPtr->strides.hStride) + (roi.xywhROI.xy.x * layoutParams.bufferMultiplier);
+        dstPtrChannel = dstPtrImage;
+
+        Rpp32s vectorIncrementPerChannel = 8;
+        Rpp32s vectorIncrementPkd = 24;
+        Rpp32u alignedLength = bufferLength & ~7;   // Align dst width to process 8 dst pixels per iteration
+        Rpp32s srcLocArray[8] = {0};                // Since 8 dst pixels are processed per iteration
+        Rpp32s invalidLoad[8] = {0};                // Since 8 dst pixels are processed per iteration
+
+        __m256 pSrcStrideH = _mm256_set1_ps(srcDescPtr->strides.hStride);
+        __m256 pRoiLTRB[4];
+        pRoiLTRB[0] = _mm256_set1_ps(roiLTRB.ltrbROI.lt.x);
+        pRoiLTRB[1] = _mm256_set1_ps(roiLTRB.ltrbROI.lt.y);
+        pRoiLTRB[2] = _mm256_set1_ps(roiLTRB.ltrbROI.rb.x);
+        pRoiLTRB[3] = _mm256_set1_ps(roiLTRB.ltrbROI.rb.y);
+
+        __m256 pWaterParams[6];
+        pWaterParams[0] = _mm256_set1_ps(amplX);
+        pWaterParams[1] = _mm256_set1_ps(amplY);
+        pWaterParams[2] = _mm256_set1_ps(freqX);
+        pWaterParams[3] = _mm256_set1_ps(freqY);
+        pWaterParams[4] = _mm256_set1_ps(phaseX);
+        pWaterParams[5] = _mm256_set1_ps(phaseY);
+
+        // Water with fused output-layout toggle (NHWC -> NCHW)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp8u *dstPtrRowR, *dstPtrRowG, *dstPtrRowB;
+            dstPtrRowR = dstPtrChannel;
+            dstPtrRowG = dstPtrRowR + dstDescPtr->strides.cStride;
+            dstPtrRowB = dstPtrRowG + dstDescPtr->strides.cStride;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp8u *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256i pRow;
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray, true);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad, true);
+                    rpp_simd_load(rpp_generic_nn_load_u8pkd3_avx, srcPtrChannel, srcLocArray, invalidLoad, pRow);
+                    rpp_simd_store(rpp_store24_u8pkd3_to_u8pln3_avx, dstPtrTempR, dstPtrTempG, dstPtrTempB, pRow);
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pkd3_to_pln3(srcY, srcX, &roiLTRB, dstPtrTempR++, dstPtrTempG++, dstPtrTempB++, srcPtrChannel, srcDescPtr);
+                }
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water with fused output-layout toggle (NCHW -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp8u *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+            Rpp8u *srcPtrChannelR, *srcPtrChannelG, *srcPtrChannelB;
+            srcPtrChannelR = srcPtrChannel;
+            srcPtrChannelG = srcPtrChannelR + srcDescPtr->strides.cStride;
+            srcPtrChannelB = srcPtrChannelG + srcDescPtr->strides.cStride;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp8u *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256i pRow[4];
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad);
+                    rpp_simd_load(rpp_generic_nn_load_u8pln1_avx, srcPtrChannelR, srcLocArray, invalidLoad, pRow[0]);
+                    rpp_simd_load(rpp_generic_nn_load_u8pln1_avx, srcPtrChannelG, srcLocArray, invalidLoad, pRow[1]);
+                    rpp_simd_load(rpp_generic_nn_load_u8pln1_avx, srcPtrChannelB, srcLocArray, invalidLoad, pRow[2]);
+                    rpp_simd_store(rpp_store24_u8pln3_to_u8pkd3_avx, dstPtrTemp, pRow);
+                    dstPtrTemp += vectorIncrementPkd;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pln3_to_pkd3(srcY, srcX, &roiLTRB, dstPtrTemp, srcPtrChannel, srcDescPtr);
+                    dstPtrTemp += 3;
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water without fused output-layout toggle (NHWC -> NHWC)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp8u *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp8u *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256i pRow;
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray, true);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad, true);
+                    rpp_simd_load(rpp_generic_nn_load_u8pkd3_avx, srcPtrChannel, srcLocArray, invalidLoad, pRow);
+                    rpp_simd_store(rpp_store24_u8_to_u8_avx, dstPtrTemp, pRow);
+                    dstPtrTemp += vectorIncrementPkd;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pkd3_to_pkd3(srcY, srcX, &roiLTRB, dstPtrTemp, srcPtrChannel, srcDescPtr);
+                    dstPtrTemp += 3;
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water without fused output-layout toggle (NCHW -> NCHW)
+        else if ((srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp8u *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp8u *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad);
+                    Rpp8u *dstPtrTempChn, *srcPtrTempChn;
+                    srcPtrTempChn = srcPtrChannel;
+                    dstPtrTempChn = dstPtrTemp;
+                    for(int c = 0; c < srcDescPtr->c; c++)
+                    {
+                        __m256i pRow;
+                        rpp_simd_load(rpp_generic_nn_load_u8pln1_avx, srcPtrTempChn, srcLocArray, invalidLoad, pRow);
+                        rpp_simd_store(rpp_store8_u8pln1_to_u8pln1_avx, dstPtrTempChn, pRow);
+                        srcPtrTempChn += srcDescPtr->strides.cStride;
+                        dstPtrTempChn += dstDescPtr->strides.cStride;
+                    }
+                    dstPtrTemp += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pln_to_pln(srcY, srcX, &roiLTRB, dstPtrTemp++, srcPtrChannel, srcDescPtr, dstDescPtr);
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+    }
+
+    return RPP_SUCCESS;
+}
+
+RppStatus water_f32_f32_host_tensor(Rpp32f *srcPtr,
+                                    RpptDescPtr srcDescPtr,
+                                    Rpp32f *dstPtr,
+                                    RpptDescPtr dstDescPtr,
+                                    Rpp32f *amplitudeXTensor,
+                                    Rpp32f *amplitudeYTensor,
+                                    Rpp32f *frequencyXTensor,
+                                    Rpp32f *frequencyYTensor,
+                                    Rpp32f *phaseXTensor,
+                                    Rpp32f *phaseYTensor,
+                                    RpptROIPtr roiTensorPtrSrc,
+                                    RpptRoiType roiType,
+                                    RppLayoutParams layoutParams,
+                                    rpp::Handle& handle)
+{
+    RpptROI roiDefault = {0, 0, static_cast<Rpp32s>(srcDescPtr->w), static_cast<Rpp32s>(srcDescPtr->h)};
+    Rpp32u numThreads = handle.GetNumThreads();
+
+    omp_set_dynamic(0);
+#pragma omp parallel for num_threads(numThreads)
+    for(int batchCount = 0; batchCount < dstDescPtr->n; batchCount++)
+    {
+        RpptROI roi, roiLTRB;
+        RpptROIPtr roiPtrInput = &roiTensorPtrSrc[batchCount];
+        compute_roi_validation_host(roiPtrInput, &roi, &roiDefault, roiType);
+        compute_ltrb_from_xywh_host(&roi, &roiLTRB);
+
+        Rpp32f *srcPtrImage, *dstPtrImage;
+        srcPtrImage = srcPtr + batchCount * srcDescPtr->strides.nStride;
+        dstPtrImage = dstPtr + batchCount * dstDescPtr->strides.nStride;
+
+        Rpp32f amplX = amplitudeXTensor[batchCount];
+        Rpp32f amplY = amplitudeYTensor[batchCount];
+        Rpp32f freqX = frequencyXTensor[batchCount];
+        Rpp32f freqY = frequencyYTensor[batchCount];
+        Rpp32f phaseX = phaseXTensor[batchCount];
+        Rpp32f phaseY = phaseYTensor[batchCount];
+
+        Rpp32u bufferLength = roi.xywhROI.roiWidth;
+        Rpp32f *srcPtrChannel, *dstPtrChannel;
+        srcPtrChannel = srcPtrImage + (roi.xywhROI.xy.y * srcDescPtr->strides.hStride) + (roi.xywhROI.xy.x * layoutParams.bufferMultiplier);
+        dstPtrChannel = dstPtrImage;
+
+        Rpp32s vectorIncrementPerChannel = 8;
+        Rpp32s vectorIncrementPkd = 24;
+        Rpp32u alignedLength = bufferLength & ~7;   // Align dst width to process 8 dst pixels per iteration
+        Rpp32s srcLocArray[8] = {0};                // Since 8 dst pixels are processed per iteration
+        Rpp32s invalidLoad[8] = {0};                // Since 8 dst pixels are processed per iteration
+
+        __m256 pSrcStrideH = _mm256_set1_ps(srcDescPtr->strides.hStride);
+        __m256 pRoiLTRB[4];
+        pRoiLTRB[0] = _mm256_set1_ps(roiLTRB.ltrbROI.lt.x);
+        pRoiLTRB[1] = _mm256_set1_ps(roiLTRB.ltrbROI.lt.y);
+        pRoiLTRB[2] = _mm256_set1_ps(roiLTRB.ltrbROI.rb.x);
+        pRoiLTRB[3] = _mm256_set1_ps(roiLTRB.ltrbROI.rb.y);
+
+        __m256 pWaterParams[6];
+        pWaterParams[0] = _mm256_set1_ps(amplX);
+        pWaterParams[1] = _mm256_set1_ps(amplY);
+        pWaterParams[2] = _mm256_set1_ps(freqX);
+        pWaterParams[3] = _mm256_set1_ps(freqY);
+        pWaterParams[4] = _mm256_set1_ps(phaseX);
+        pWaterParams[5] = _mm256_set1_ps(phaseY);
+
+        // Water with fused output-layout toggle (NHWC -> NCHW)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp32f *dstPtrRowR, *dstPtrRowG, *dstPtrRowB;
+            dstPtrRowR = dstPtrChannel;
+            dstPtrRowG = dstPtrRowR + dstDescPtr->strides.cStride;
+            dstPtrRowB = dstPtrRowG + dstDescPtr->strides.cStride;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp32f *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256 pRow[3];
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray, true);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad, true);
+                    rpp_simd_load(rpp_generic_nn_load_f32pkd3_to_f32pln3_avx, srcPtrChannel, srcLocArray, invalidLoad, pRow);
+                    rpp_simd_store(rpp_store24_f32pln3_to_f32pln3_avx, dstPtrTempR, dstPtrTempG, dstPtrTempB, pRow);
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pkd3_to_pln3(srcY, srcX, &roiLTRB, dstPtrTempR++, dstPtrTempG++, dstPtrTempB++, srcPtrChannel, srcDescPtr);
+                }
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water with fused output-layout toggle (NCHW -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp32f *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+            Rpp32f *srcPtrChannelR, *srcPtrChannelG, *srcPtrChannelB;
+            srcPtrChannelR = srcPtrChannel;
+            srcPtrChannelG = srcPtrChannelR + srcDescPtr->strides.cStride;
+            srcPtrChannelB = srcPtrChannelG + srcDescPtr->strides.cStride;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp32f *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256 pRow[4];
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad);
+                    rpp_simd_load(rpp_generic_nn_load_f32pln1_avx, srcPtrChannelR, srcLocArray, invalidLoad, pRow[0]);
+                    rpp_simd_load(rpp_generic_nn_load_f32pln1_avx, srcPtrChannelG, srcLocArray, invalidLoad, pRow[1]);
+                    rpp_simd_load(rpp_generic_nn_load_f32pln1_avx, srcPtrChannelB, srcLocArray, invalidLoad, pRow[2]);
+                    rpp_simd_store(rpp_store24_f32pln3_to_f32pkd3_avx, dstPtrTemp, pRow);
+                    dstPtrTemp += vectorIncrementPkd;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pln3_to_pkd3(srcY, srcX, &roiLTRB, dstPtrTemp, srcPtrChannel, srcDescPtr);
+                    dstPtrTemp += 3;
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water without fused output-layout toggle (NHWC -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp32f *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp32f *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256 pRow[4];
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad, true);
+                    rpp_simd_load(rpp_generic_nn_load_f32pkd3_to_f32pkd3_avx, srcPtrChannel, srcLocArray, invalidLoad, pRow);
+                    rpp_simd_store(rpp_store24_f32pkd3_to_f32pkd3_avx, dstPtrTemp, pRow);
+                    dstPtrTemp += vectorIncrementPkd;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pkd3_to_pkd3(srcY, srcX, &roiLTRB, dstPtrTemp, srcPtrChannel, srcDescPtr);
+                    dstPtrTemp += 3;
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water without fused output-layout toggle (NCHW -> NCHW)
+        else if ((srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp32f *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp32f *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad);
+
+                    Rpp32f *dstPtrTempChn, *srcPtrTempChn;
+                    srcPtrTempChn = srcPtrChannel;
+                    dstPtrTempChn = dstPtrTemp;
+                    for(int c = 0; c < srcDescPtr->c; c++)
+                    {
+                        __m256 pRow;
+                        rpp_simd_load(rpp_generic_nn_load_f32pln1_avx, srcPtrTempChn, srcLocArray, invalidLoad, pRow);
+                        rpp_simd_store(rpp_store8_f32_to_f32_avx, dstPtrTempChn, &pRow);
+                        srcPtrTempChn += srcDescPtr->strides.cStride;
+                        dstPtrTempChn += dstDescPtr->strides.cStride;
+                    }
+                    dstPtrTemp += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pln_to_pln(srcY, srcX, &roiLTRB, dstPtrTemp++, srcPtrChannel, srcDescPtr, dstDescPtr);
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+    }
+
+    return RPP_SUCCESS;
+}
+
+RppStatus water_f16_f16_host_tensor(Rpp16f *srcPtr,
+                                    RpptDescPtr srcDescPtr,
+                                    Rpp16f *dstPtr,
+                                    RpptDescPtr dstDescPtr,
+                                    Rpp32f *amplitudeXTensor,
+                                    Rpp32f *amplitudeYTensor,
+                                    Rpp32f *frequencyXTensor,
+                                    Rpp32f *frequencyYTensor,
+                                    Rpp32f *phaseXTensor,
+                                    Rpp32f *phaseYTensor,
+                                    RpptROIPtr roiTensorPtrSrc,
+                                    RpptRoiType roiType,
+                                    RppLayoutParams layoutParams,
+                                    rpp::Handle& handle)
+{
+    RpptROI roiDefault = {0, 0, static_cast<Rpp32s>(srcDescPtr->w), static_cast<Rpp32s>(srcDescPtr->h)};
+    Rpp32u numThreads = handle.GetNumThreads();
+
+    omp_set_dynamic(0);
+#pragma omp parallel for num_threads(numThreads)
+    for(int batchCount = 0; batchCount < dstDescPtr->n; batchCount++)
+    {
+        RpptROI roi, roiLTRB;
+        RpptROIPtr roiPtrInput = &roiTensorPtrSrc[batchCount];
+        compute_roi_validation_host(roiPtrInput, &roi, &roiDefault, roiType);
+        compute_ltrb_from_xywh_host(&roi, &roiLTRB);
+
+        Rpp16f *srcPtrImage, *dstPtrImage;
+        srcPtrImage = srcPtr + batchCount * srcDescPtr->strides.nStride;
+        dstPtrImage = dstPtr + batchCount * dstDescPtr->strides.nStride;
+
+        Rpp32f amplX = amplitudeXTensor[batchCount];
+        Rpp32f amplY = amplitudeYTensor[batchCount];
+        Rpp32f freqX = frequencyXTensor[batchCount];
+        Rpp32f freqY = frequencyYTensor[batchCount];
+        Rpp32f phaseX = phaseXTensor[batchCount];
+        Rpp32f phaseY = phaseYTensor[batchCount];
+
+        Rpp32u bufferLength = roi.xywhROI.roiWidth;
+        Rpp16f *srcPtrChannel, *dstPtrChannel;
+        srcPtrChannel = srcPtrImage + (roi.xywhROI.xy.y * srcDescPtr->strides.hStride) + (roi.xywhROI.xy.x * layoutParams.bufferMultiplier);
+        dstPtrChannel = dstPtrImage;
+
+        // Water with fused output-layout toggle (NHWC -> NCHW)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp16f *dstPtrRowR, *dstPtrRowG, *dstPtrRowB;
+            dstPtrRowR = dstPtrChannel;
+            dstPtrRowG = dstPtrRowR + dstDescPtr->strides.cStride;
+            dstPtrRowB = dstPtrRowG + dstDescPtr->strides.cStride;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp16f *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                Rpp32f dstX, dstY, sinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pkd3_to_pln3(srcY, srcX, &roiLTRB, dstPtrTempR++, dstPtrTempG++, dstPtrTempB++, srcPtrChannel, srcDescPtr);
+                }
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water with fused output-layout toggle (NCHW -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp16f *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp16f *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pln3_to_pkd3(srcY, srcX, &roiLTRB, dstPtrTemp, srcPtrChannel, srcDescPtr);
+                    dstPtrTemp += 3;
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water without fused output-layout toggle (NHWC -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp16f *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp16f *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pkd3_to_pkd3(srcY, srcX, &roiLTRB, dstPtrTemp, srcPtrChannel, srcDescPtr);
+                    dstPtrTemp += 3;
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water without fused output-layout toggle (NCHW -> NCHW)
+        else if ((srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp16f *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp16f *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pln_to_pln(srcY, srcX, &roiLTRB, dstPtrTemp++, srcPtrChannel, srcDescPtr, dstDescPtr);
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+    }
+
+    return RPP_SUCCESS;
+}
+
+RppStatus water_i8_i8_host_tensor(Rpp8s *srcPtr,
+                                  RpptDescPtr srcDescPtr,
+                                  Rpp8s *dstPtr,
+                                  RpptDescPtr dstDescPtr,
+                                  Rpp32f *amplitudeXTensor,
+                                  Rpp32f *amplitudeYTensor,
+                                  Rpp32f *frequencyXTensor,
+                                  Rpp32f *frequencyYTensor,
+                                  Rpp32f *phaseXTensor,
+                                  Rpp32f *phaseYTensor,
+                                  RpptROIPtr roiTensorPtrSrc,
+                                  RpptRoiType roiType,
+                                  RppLayoutParams layoutParams,
+                                  rpp::Handle& handle)
+{
+    RpptROI roiDefault = {0, 0, static_cast<Rpp32s>(srcDescPtr->w), static_cast<Rpp32s>(srcDescPtr->h)};
+    Rpp32u numThreads = handle.GetNumThreads();
+
+    omp_set_dynamic(0);
+#pragma omp parallel for num_threads(numThreads)
+    for(int batchCount = 0; batchCount < dstDescPtr->n; batchCount++)
+    {
+        RpptROI roi, roiLTRB;
+        RpptROIPtr roiPtrInput = &roiTensorPtrSrc[batchCount];
+        compute_roi_validation_host(roiPtrInput, &roi, &roiDefault, roiType);
+        compute_ltrb_from_xywh_host(&roi, &roiLTRB);
+
+        Rpp8s *srcPtrImage, *dstPtrImage;
+        srcPtrImage = srcPtr + batchCount * srcDescPtr->strides.nStride;
+        dstPtrImage = dstPtr + batchCount * dstDescPtr->strides.nStride;
+
+        Rpp32f amplX = amplitudeXTensor[batchCount];
+        Rpp32f amplY = amplitudeYTensor[batchCount];
+        Rpp32f freqX = frequencyXTensor[batchCount];
+        Rpp32f freqY = frequencyYTensor[batchCount];
+        Rpp32f phaseX = phaseXTensor[batchCount];
+        Rpp32f phaseY = phaseYTensor[batchCount];
+
+        Rpp32u bufferLength = roi.xywhROI.roiWidth;
+        Rpp8s *srcPtrChannel, *dstPtrChannel;
+        srcPtrChannel = srcPtrImage + (roi.xywhROI.xy.y * srcDescPtr->strides.hStride) + (roi.xywhROI.xy.x * layoutParams.bufferMultiplier);
+        dstPtrChannel = dstPtrImage;
+
+        Rpp32s vectorIncrementPerChannel = 8;
+        Rpp32s vectorIncrementPkd = 24;
+        Rpp32u alignedLength = bufferLength & ~7;   // Align dst width to process 4 dst pixels per iteration
+        Rpp32s srcLocArray[8] = {0};                // Since 8 dst pixels are processed per iteration
+        Rpp32s invalidLoad[8] = {0};                // Since 8 dst pixels are processed per iteration
+
+        __m256 pSrcStrideH = _mm256_set1_ps(srcDescPtr->strides.hStride);
+        __m256 pRoiLTRB[4];
+        pRoiLTRB[0] = _mm256_set1_ps(roiLTRB.ltrbROI.lt.x);
+        pRoiLTRB[1] = _mm256_set1_ps(roiLTRB.ltrbROI.lt.y);
+        pRoiLTRB[2] = _mm256_set1_ps(roiLTRB.ltrbROI.rb.x);
+        pRoiLTRB[3] = _mm256_set1_ps(roiLTRB.ltrbROI.rb.y);
+
+        __m256 pWaterParams[6];
+        pWaterParams[0] = _mm256_set1_ps(amplX);
+        pWaterParams[1] = _mm256_set1_ps(amplY);
+        pWaterParams[2] = _mm256_set1_ps(freqX);
+        pWaterParams[3] = _mm256_set1_ps(freqY);
+        pWaterParams[4] = _mm256_set1_ps(phaseX);
+        pWaterParams[5] = _mm256_set1_ps(phaseY);
+
+        // Water with fused output-layout toggle (NHWC -> NCHW)
+        if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp8s *dstPtrRowR, *dstPtrRowG, *dstPtrRowB;
+            dstPtrRowR = dstPtrChannel;
+            dstPtrRowG = dstPtrRowR + dstDescPtr->strides.cStride;
+            dstPtrRowB = dstPtrRowG + dstDescPtr->strides.cStride;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp8s *dstPtrTempR, *dstPtrTempG, *dstPtrTempB;
+                dstPtrTempR = dstPtrRowR;
+                dstPtrTempG = dstPtrRowG;
+                dstPtrTempB = dstPtrRowB;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256i pRow;
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray, true);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad, true);
+                    rpp_simd_load(rpp_generic_nn_load_i8pkd3_avx, srcPtrChannel, srcLocArray, invalidLoad, pRow);
+                    rpp_simd_store(rpp_store24_i8pkd3_to_i8pln3_avx, dstPtrTempR, dstPtrTempG, dstPtrTempB, pRow);
+                    dstPtrTempR += vectorIncrementPerChannel;
+                    dstPtrTempG += vectorIncrementPerChannel;
+                    dstPtrTempB += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pkd3_to_pln3(srcY, srcX, &roiLTRB, dstPtrTempR++, dstPtrTempG++, dstPtrTempB++, srcPtrChannel, srcDescPtr);
+                }
+                dstPtrRowR += dstDescPtr->strides.hStride;
+                dstPtrRowG += dstDescPtr->strides.hStride;
+                dstPtrRowB += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water with fused output-layout toggle (NCHW -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp8s *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+            Rpp8s *srcPtrChannelR, *srcPtrChannelG, *srcPtrChannelB;
+            srcPtrChannelR = srcPtrChannel;
+            srcPtrChannelG = srcPtrChannelR + srcDescPtr->strides.cStride;
+            srcPtrChannelB = srcPtrChannelG + srcDescPtr->strides.cStride;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp8s *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256i pRow[3];
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad);
+                    rpp_simd_load(rpp_generic_nn_load_i8pln1_avx, srcPtrChannelR, srcLocArray, invalidLoad, pRow[0]);
+                    rpp_simd_load(rpp_generic_nn_load_i8pln1_avx, srcPtrChannelG, srcLocArray, invalidLoad, pRow[1]);
+                    rpp_simd_load(rpp_generic_nn_load_i8pln1_avx, srcPtrChannelB, srcLocArray, invalidLoad, pRow[2]);
+                    rpp_simd_store(rpp_store24_i8pln3_to_i8pkd3_avx, dstPtrTemp, pRow);
+                    dstPtrTemp += vectorIncrementPkd;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_generic_nn_interpolation_pln3_to_pkd3(srcY, srcX, &roiLTRB, dstPtrTemp, srcPtrChannel, srcDescPtr);
+                    dstPtrTemp += 3;
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water without fused output-layout toggle (NHWC -> NHWC)
+        else if ((srcDescPtr->c == 3) && (srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            Rpp8s *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp8s *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    __m256i pRow;
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray, true);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad, true);
+                    rpp_simd_load(rpp_generic_nn_load_i8pkd3_avx, srcPtrChannel, srcLocArray, invalidLoad, pRow);
+                    rpp_simd_store(rpp_store24_i8_to_i8_avx, dstPtrTemp, pRow);
+                    dstPtrTemp += vectorIncrementPkd;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+                    compute_generic_nn_interpolation_pkd3_to_pkd3(srcY, srcX, &roiLTRB, dstPtrTemp, srcPtrChannel, srcDescPtr);
+                    dstPtrTemp += 3;
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+
+        // Water without fused output-layout toggle (NCHW -> NCHW)
+        else if ((srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            Rpp8s *dstPtrRow;
+            dstPtrRow = dstPtrChannel;
+
+            for(int i = 0; i < roi.xywhROI.roiHeight; i++)
+            {
+                Rpp8s *dstPtrTemp;
+                dstPtrTemp = dstPtrRow;
+
+                Rpp32f dstX, dstY, sinFactor;
+                __m256 pDstX, pDstY, pSinFactor;
+                dstY = static_cast<Rpp32f>(i);
+                sinFactor = std::sin((freqX * dstY) + phaseX);
+                pDstX = avx_pDstLocInit;
+                pDstY = _mm256_set1_ps(dstY);
+                pSinFactor = _mm256_set1_ps(sinFactor);
+                int vectorLoopCount = 0;
+                for (; vectorLoopCount < alignedLength; vectorLoopCount += vectorIncrementPerChannel)
+                {
+                    __m256 pCosFactor, pDummy, pSrcX, pSrcY;
+                    sincos_ps(_mm256_fmadd_ps(pWaterParams[3], pDstX, pWaterParams[5]), &pDummy, &pCosFactor);
+                    compute_water_src_loc_avx(pDstY, pDstX, pSrcY, pSrcX, pWaterParams, pSinFactor, pCosFactor, pRoiLTRB[3], pRoiLTRB[2], pSrcStrideH, srcLocArray);
+                    compute_generic_nn_srclocs_and_validate_avx(pSrcY, pSrcX, pRoiLTRB, pSrcStrideH, srcLocArray, invalidLoad);
+                    Rpp8s *dstPtrTempChn, *srcPtrTempChn;
+                    srcPtrTempChn = srcPtrChannel;
+                    dstPtrTempChn = dstPtrTemp;
+                    for(int c = 0; c < srcDescPtr->c; c++)
+                    {
+                        __m256i pRow;
+                        rpp_simd_load(rpp_generic_nn_load_i8pln1_avx, srcPtrTempChn, srcLocArray, invalidLoad, pRow);
+                        rpp_simd_store(rpp_store8_i8pln1_to_i8pln1, dstPtrTempChn, pRow);
+                        srcPtrTempChn += srcDescPtr->strides.cStride;
+                        dstPtrTempChn += dstDescPtr->strides.cStride;
+                    }
+                    dstPtrTemp += vectorIncrementPerChannel;
+                }
+                for (; vectorLoopCount < bufferLength; vectorLoopCount++)
+                {
+                    Rpp32f srcX, srcY, cosFactor;
+                    dstX = vectorLoopCount;
+                    cosFactor = std::cos((freqY * dstX) + phaseY);
+                    compute_water_src_loc(dstY, dstX, srcY, srcX, amplY, amplX, sinFactor, cosFactor, &roiLTRB);
+
+                    for(int i = 0; i < srcDescPtr->c; i++)
+                        compute_generic_nn_interpolation_pln_to_pln(srcY, srcX, &roiLTRB, dstPtrTemp++, srcPtrChannel, srcDescPtr, dstDescPtr);
+                }
+                dstPtrRow += dstDescPtr->strides.hStride;
+            }
+        }
+    }
+
+    return RPP_SUCCESS;
+}
\ No newline at end of file
diff --git a/src/modules/handlehost.cpp b/src/modules/handlehost.cpp
index d8c078645..930e02ab5 100644
--- a/src/modules/handlehost.cpp
+++ b/src/modules/handlehost.cpp
@@ -24,13 +24,11 @@
  *
  *******************************************************************************/
 
-#include <boost/filesystem.hpp>
 #ifndef _WIN32
 #include <unistd.h>
 #endif
 
 #include<thread>
-#include "config.h"
 #include "rpp/logger.hpp"
 #include "rpp/handle.hpp"
 
diff --git a/src/modules/hip/handlehip.cpp b/src/modules/hip/handlehip.cpp
index fa5612f6b..a81199891 100644
--- a/src/modules/hip/handlehip.cpp
+++ b/src/modules/hip/handlehip.cpp
@@ -24,20 +24,17 @@
  *
  *******************************************************************************/
 
-#include <boost/filesystem.hpp>
 #ifndef _WIN32
 #include <unistd.h>
 #endif
 
 #include <thread>
-#include "config.h"
 #include "rpp/device_name.hpp"
 #include "rpp/errors.hpp"
 #include "rpp/logger.hpp"
 #include "rpp/handle.hpp"
 #include "rpp/kernel_cache.hpp"
 #include "rpp/binary_cache.hpp"
-#include "rpp/handle_lock.hpp"
 
 namespace rpp {
 
@@ -484,7 +481,7 @@ const std::vector<Kernel>& Handle::GetKernelsImpl(const std::string& algorithm,
 KernelInvoke Handle::Run(Kernel k)
 {
     this->impl->set_ctx();
-    if(this->impl->enable_profiling || RPP_GPU_SYNC)
+    if(this->impl->enable_profiling)
         return k.Invoke(this->GetStream(), this->impl->elapsed_time_handler());
     else
         return k.Invoke(this->GetStream());
@@ -593,14 +590,12 @@ std::size_t Handle::GetMaxComputeUnits()
 
 Allocator::ManageDataPtr Handle::Create(std::size_t sz)
 {
-    RPP_HANDLE_LOCK
     this->Finish();
     return this->impl->allocator(sz);
 }
 
 Allocator::ManageDataPtr& Handle::WriteTo(const void* data, Allocator::ManageDataPtr& ddata, std::size_t sz)
 {
-    RPP_HANDLE_LOCK
     this->Finish();
     auto status = hipMemcpy(ddata.get(), data, sz, hipMemcpyHostToDevice);
     if(status != hipSuccess)
@@ -610,7 +605,6 @@ Allocator::ManageDataPtr& Handle::WriteTo(const void* data, Allocator::ManageDat
 
 void Handle::ReadTo(void* data, const Allocator::ManageDataPtr& ddata, std::size_t sz)
 {
-    RPP_HANDLE_LOCK
     this->Finish();
     auto status = hipMemcpy(data, ddata.get(), sz, hipMemcpyDeviceToHost);
     if(status != hipSuccess)
@@ -619,7 +613,6 @@ void Handle::ReadTo(void* data, const Allocator::ManageDataPtr& ddata, std::size
 
 void Handle::Copy(ConstData_t src, Data_t dest, std::size_t size)
 {
-    RPP_HANDLE_LOCK
     this->impl->set_ctx();
     auto status = hipMemcpy(dest, src, size, hipMemcpyDeviceToDevice);
     if(status != hipSuccess)
diff --git a/src/modules/hip/hip_build_utils.cpp b/src/modules/hip/hip_build_utils.cpp
index 6e575d957..630362aef 100644
--- a/src/modules/hip/hip_build_utils.cpp
+++ b/src/modules/hip/hip_build_utils.cpp
@@ -21,7 +21,7 @@ THE SOFTWARE.
 */
 
 #include <sstream>
-#include <boost/optional.hpp>
+#include <optional>
 
 #include "rpp/hip_build_utils.hpp"
 #include "rpp/logger.hpp"
@@ -31,7 +31,7 @@ THE SOFTWARE.
 
 namespace rpp {
 
-boost::filesystem::path HipBuild(boost::optional<TmpDir>& tmp_dir,
+fs::path HipBuild(std::optional<TmpDir>& tmp_dir,
                                  const std::string& filename,
                                  std::string src,
                                  std::string params,
@@ -43,7 +43,7 @@ boost::filesystem::path HipBuild(boost::optional<TmpDir>& tmp_dir,
     // write out the include files
     auto inc_list = GetKernelIncList();
     auto inc_path = tmp_dir->path;
-    boost::filesystem::create_directories(inc_path);
+    fs::create_directories(inc_path);
     for(auto inc_file : inc_list)
     {
         auto inc_src = GetKernelInc(inc_file);
@@ -61,13 +61,13 @@ boost::filesystem::path HipBuild(boost::optional<TmpDir>& tmp_dir,
     auto env = std::string("KMOPTLLC=-mattr=+enable-ds128");
     tmp_dir->Execute(env + std::string(" ") + "/opt/rocm/bin/hipcc",
                      params + filename + " -o " + bin_file.string());
-    if(!boost::filesystem::exists(bin_file))
+    if(!fs::exists(bin_file))
         RPP_THROW(filename + " failed to compile");
-    auto hsaco = std::find_if(boost::filesystem::directory_iterator{tmp_dir->path},
+    auto hsaco = std::find_if(fs::directory_iterator{tmp_dir->path},
                               {},
                               [](auto entry) { return (entry.path().extension() == ".hsaco"); });
 
-    if(hsaco == boost::filesystem::directory_iterator{})
+    if(hsaco == fs::directory_iterator{})
     {
         RPP_LOG_E("failed to find *.hsaco in " << hsaco->path().string());
     }
@@ -80,7 +80,7 @@ boost::filesystem::path HipBuild(boost::optional<TmpDir>& tmp_dir,
 #endif
 }
 
-void bin_file_to_str(const boost::filesystem::path& file, std::string& buf)
+void bin_file_to_str(const fs::path& file, std::string& buf)
 {
     std::ifstream bin_file_ptr(file.string().c_str(), std::ios::binary);
     std::ostringstream bin_file_strm;
diff --git a/src/modules/hip/hip_tensor_effects_augmentations.hpp b/src/modules/hip/hip_tensor_effects_augmentations.hpp
index 599e8e66c..23952dd73 100644
--- a/src/modules/hip/hip_tensor_effects_augmentations.hpp
+++ b/src/modules/hip/hip_tensor_effects_augmentations.hpp
@@ -29,5 +29,7 @@ THE SOFTWARE.
 #include "kernel/noise_shot.hpp"
 #include "kernel/noise_gaussian.hpp"
 #include "kernel/non_linear_blend.hpp"
+#include "kernel/water.hpp"
+#include "kernel/ricap.hpp"
 
 #endif // HIP_TENSOR_EFFECTS_AUGMENTATIONS_HPP
diff --git a/src/modules/hip/hipoc_kernel.cpp b/src/modules/hip/hipoc_kernel.cpp
index b207d8757..db639fe15 100644
--- a/src/modules/hip/hipoc_kernel.cpp
+++ b/src/modules/hip/hipoc_kernel.cpp
@@ -31,7 +31,6 @@
 
 #include "rpp/errors.hpp"
 #include "rpp/hipoc_kernel.hpp"
-#include "rpp/handle_lock.hpp"
 #if defined(STATIC)
 #include "rpp/hip_kernels.hpp"
 #endif
@@ -61,8 +60,7 @@ void HIPOCKernelInvoke::run(void* args, std::size_t size) const
     }
 
 
-    RPP_HANDLE_LOCK
-
+    
 #if defined (HSACOO) || defined (HIPRTC)
 
             auto status = hipExtModuleLaunchKernel(fun,
diff --git a/src/modules/hip/hipoc_program.cpp b/src/modules/hip/hipoc_program.cpp
index f1a4dde98..1909daca1 100644
--- a/src/modules/hip/hipoc_program.cpp
+++ b/src/modules/hip/hipoc_program.cpp
@@ -25,9 +25,9 @@
  *******************************************************************************/
 
 #include <sstream>
+#include <optional>
 #include <unistd.h>
 #include <hip/hiprtc.h>
-#include <boost/optional.hpp>
 
 #include "rpp/errors.hpp"
 #include "rpp/gcn_asm_utils.hpp"
@@ -47,7 +47,7 @@ std::string remove_extension(const std::string& filename) {
     return filename.substr(0, lastdot);
 }
 
-hipModulePtr CreateModule(const boost::filesystem::path& hsaco_file)
+hipModulePtr CreateModule(const fs::path& hsaco_file)
 {
     hipModule_t raw_m;
     // std::cout<<"attempting to run hipModule Load of hsacofile:\n";// <<hsaco_file.string().c_str()<<std::endl;
@@ -69,7 +69,7 @@ hipModulePtr CreateModuleRTC(char** codeData)
 }
 struct HIPOCProgramImpl
 {
-    HIPOCProgramImpl(const std::string& program_name, const boost::filesystem::path& hsaco)
+    HIPOCProgramImpl(const std::string& program_name, const fs::path& hsaco)
         : name(program_name), hsaco_file(hsaco)
     {
         this->module = CreateModule(this->hsaco_file);
@@ -95,9 +95,9 @@ struct HIPOCProgramImpl
     }
     std::string name;
     std::string dev_name;
-    boost::filesystem::path hsaco_file;
+    fs::path hsaco_file;
     hipModulePtr module;
-    boost::optional<TmpDir> dir;
+    std::optional<TmpDir> dir;
     hipModulePtr BuildAndCreateModuleRTC(const std::string& program_name,
                      std::string params,
                      bool is_kernel_str,
@@ -198,7 +198,7 @@ struct HIPOCProgramImpl
             dir->Execute("/usr/local/bin/clang-ocl", params + " " + filename + " -o " + hsaco_file.string());
         }
         // std::cout<<"Done Building Module to get hsaco_file "<<hsaco_file.string().c_str()<<std::flush;
-        //if(!boost::filesystem::exists(hsaco_file))
+        //if(!fs::exists(hsaco_file))
           //  RPP_THROW("Cant find file: " + hsaco_file.string());
 
     ;
@@ -217,13 +217,13 @@ HIPOCProgram::HIPOCProgram(const std::string& program_name,
 {
 }
 
-HIPOCProgram::HIPOCProgram(const std::string& program_name, const boost::filesystem::path& hsaco)
+HIPOCProgram::HIPOCProgram(const std::string& program_name, const fs::path& hsaco)
     : impl(std::make_shared<HIPOCProgramImpl>(program_name, hsaco))
 {
 }
 
 hipModule_t HIPOCProgram::GetModule() const { return this->impl->module.get(); }
 
-boost::filesystem::path HIPOCProgram::GetBinary() const { return this->impl->hsaco_file; }
+fs::path HIPOCProgram::GetBinary() const { return this->impl->hsaco_file; }
 
 } // namespace rpp
diff --git a/src/modules/hip/kernel/resize_mirror_normalize.hpp b/src/modules/hip/kernel/resize_mirror_normalize.hpp
index 2c8c9ff90..16dbcd159 100644
--- a/src/modules/hip/kernel/resize_mirror_normalize.hpp
+++ b/src/modules/hip/kernel/resize_mirror_normalize.hpp
@@ -27,14 +27,14 @@ __device__ void rmn_hip_compute(half *srcPtr, half *dstPtr, d_float8 *pix_f8, d_
 
 __device__ void rmn_hip_compute(uchar *srcPtr, float *dstPtr, d_float8 *pix_f8, d_float8 *rmnParamsf8)
 {
-    pix_f8->f4[0] = rpp_hip_pixel_check_0to1((pix_f8->f4[0] - rmnParamsf8->f4[0]) * rmnParamsf8->f4[1] * (float4) ONE_OVER_255);
-    pix_f8->f4[1] = rpp_hip_pixel_check_0to1((pix_f8->f4[1] - rmnParamsf8->f4[0]) * rmnParamsf8->f4[1] * (float4) ONE_OVER_255);
+    pix_f8->f4[0] = (pix_f8->f4[0] - rmnParamsf8->f4[0]) * rmnParamsf8->f4[1];
+    pix_f8->f4[1] = (pix_f8->f4[1] - rmnParamsf8->f4[0]) * rmnParamsf8->f4[1];
 }
 
 __device__ void rmn_hip_compute(uchar *srcPtr, half *dstPtr, d_float8 *pix_f8, d_float8 *rmnParamsf8)
 {
-    pix_f8->f4[0] = rpp_hip_pixel_check_0to1((pix_f8->f4[0] - rmnParamsf8->f4[0]) * rmnParamsf8->f4[1] * (float4) ONE_OVER_255);
-    pix_f8->f4[1] = rpp_hip_pixel_check_0to1((pix_f8->f4[1] - rmnParamsf8->f4[0]) * rmnParamsf8->f4[1] * (float4) ONE_OVER_255);
+    pix_f8->f4[0] = (pix_f8->f4[0] - rmnParamsf8->f4[0]) * rmnParamsf8->f4[1];
+    pix_f8->f4[1] = (pix_f8->f4[1] - rmnParamsf8->f4[0]) * rmnParamsf8->f4[1];
 }
 
 __device__ void resize_mirror_normalize_roi_and_srclocs_hip_compute(int4 *srcRoiPtr_i4, uint2 *dstDimsWH, int id_x, int id_y, d_float16 *locSrc_f16)
@@ -324,8 +324,9 @@ RppStatus hip_exec_resize_mirror_normalize_tensor(T *srcPtr,
         int globalThreads_y = dstDescPtr->h;
         int globalThreads_z = handle.GetBatchSize();
 
-        // Set non ROI pixels to zero
-        hipMemset(dstPtr, 0, dstDescPtr->n * dstDescPtr->strides.nStride * sizeof(U));
+        // Set output pixels to zero
+        hipMemsetAsync(dstPtr, 0, dstDescPtr->n * dstDescPtr->strides.nStride * sizeof(U), handle.GetStream());
+        hipStreamSynchronize(handle.GetStream());
 
         if ((srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NHWC))
         {
diff --git a/src/modules/hip/kernel/ricap.hpp b/src/modules/hip/kernel/ricap.hpp
new file mode 100644
index 000000000..795538451
--- /dev/null
+++ b/src/modules/hip/kernel/ricap.hpp
@@ -0,0 +1,251 @@
+#include <hip/hip_runtime.h>
+#include "rpp_hip_common.hpp"
+
+template <typename T>
+__global__ void ricap_pkd_tensor(T *srcPtr,
+                                 uint2 srcStridesNH,
+                                 T *dstPtr,
+                                 uint2 dstStridesNH,
+                                 uint *permutedIndices,
+                                 RpptROIPtr cropRegion,
+                                 uint2 srcWH)
+{
+    int id_x = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x) * 8;
+    int id_y = hipBlockIdx_y * hipBlockDim_y + hipThreadIdx_y;
+    int id_z = hipBlockIdx_z * hipBlockDim_z + hipThreadIdx_z;
+
+    if ((id_y >= srcWH.y) || (id_x >= srcWH.x * 3))
+    {
+        return;
+    }
+
+    uint srcIdx;
+    uint permuteIdx = id_z * 4;
+    if ((id_x >= 0) && (id_y >= 0) && (id_y < cropRegion[0].xywhROI.roiHeight) && (id_x < cropRegion[0].xywhROI.roiWidth * 3))
+        srcIdx = (permutedIndices[permuteIdx] * srcStridesNH.x) + ((id_y + cropRegion[0].xywhROI.xy.y) * srcStridesNH.y) + (id_x + (cropRegion[0].xywhROI.xy.x) * 3);
+    else if ((id_y >= 0) && (id_x >= cropRegion[0].xywhROI.roiWidth * 3) && (id_y < (cropRegion[1].xywhROI.roiHeight)))
+        srcIdx = (permutedIndices[permuteIdx + 1] * srcStridesNH.x) + ((id_y + cropRegion[1].xywhROI.xy.y) * srcStridesNH.y) + (id_x - (cropRegion[0].xywhROI.roiWidth) * 3 + (cropRegion[1].xywhROI.xy.x) * 3);
+    else if ((id_y >= cropRegion[1].xywhROI.roiHeight) && (id_x >= 0) && (id_x < cropRegion[2].xywhROI.roiWidth * 3))
+        srcIdx = (permutedIndices[permuteIdx + 2] * srcStridesNH.x) + ((id_y - cropRegion[1].xywhROI.roiHeight + cropRegion[2].xywhROI.xy.y) * srcStridesNH.y) + (id_x + (cropRegion[2].xywhROI.xy.x) * 3);
+    else if ((id_y >= cropRegion[1].xywhROI.roiHeight) && (id_x >= cropRegion[2].xywhROI.roiWidth * 3))
+        srcIdx = (permutedIndices[permuteIdx + 3] * srcStridesNH.x) + ((id_y - cropRegion[1].xywhROI.roiHeight + cropRegion[3].xywhROI.xy.y) * srcStridesNH.y) + (id_x - (cropRegion[2].xywhROI.roiWidth) * 3 + (cropRegion[3].xywhROI.xy.x) * 3);
+
+    uint dstIdx = (id_z * dstStridesNH.x) + (id_y * dstStridesNH.y) + id_x;
+
+    d_float8 pix_f8;
+    rpp_hip_load8_and_unpack_to_float8(srcPtr + srcIdx, &pix_f8);
+    rpp_hip_pack_float8_and_store8(dstPtr + dstIdx, &pix_f8);
+}
+
+template <typename T>
+__global__ void ricap_pln_tensor(T *srcPtr,
+                                 uint3 srcStridesNCH,
+                                 T *dstPtr,
+                                 uint3 dstStridesNCH,
+                                 int channelsDst,
+                                 uint *permutedIndices,
+                                 RpptROIPtr cropRegion,
+                                 uint2 srcWH)
+{
+    int id_x = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x) * 8;
+    int id_y = hipBlockIdx_y * hipBlockDim_y + hipThreadIdx_y;
+    int id_z = hipBlockIdx_z * hipBlockDim_z + hipThreadIdx_z;
+
+    if ((id_y >= srcWH.y) || (id_x >= srcWH.x))
+    {
+        return;
+    }
+
+    uint srcIdx;
+    uint permuteIdx = id_z * 4;
+    if ((id_x >= 0) && (id_y >= 0) && (id_y < cropRegion[0].xywhROI.roiHeight) && (id_x < cropRegion[0].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx] * srcStridesNCH.x) + ((id_y + cropRegion[0].xywhROI.xy.y) * srcStridesNCH.z) + (id_x + cropRegion[0].xywhROI.xy.x);
+    else if ((id_y >= 0) && (id_x >= cropRegion[0].xywhROI.roiWidth) && (id_y < (cropRegion[1].xywhROI.roiHeight)))
+        srcIdx = (permutedIndices[permuteIdx + 1] * srcStridesNCH.x) + ((id_y + cropRegion[1].xywhROI.xy.y) * srcStridesNCH.z) + (id_x - cropRegion[0].xywhROI.roiWidth + cropRegion[1].xywhROI.xy.x);
+    else if ((id_y >= cropRegion[1].xywhROI.roiHeight) && (id_x >= 0) && (id_x < cropRegion[2].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx + 2] * srcStridesNCH.x) + ((id_y - cropRegion[1].xywhROI.roiHeight + cropRegion[2].xywhROI.xy.y) * srcStridesNCH.z) + (id_x + cropRegion[2].xywhROI.xy.x);
+    else if ((id_y >= cropRegion[1].xywhROI.roiHeight) && (id_x >= cropRegion[2].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx + 3] * srcStridesNCH.x) + ((id_y - cropRegion[1].xywhROI.roiHeight + cropRegion[3].xywhROI.xy.y) * srcStridesNCH.z) + (id_x - cropRegion[2].xywhROI.roiWidth + cropRegion[3].xywhROI.xy.x);
+
+    uint dstIdx = (id_z * dstStridesNCH.x) + (id_y * dstStridesNCH.z) + id_x;
+
+    d_float8 pix_f8;
+    rpp_hip_load8_and_unpack_to_float8(srcPtr + srcIdx, &pix_f8);
+    rpp_hip_pack_float8_and_store8(dstPtr + dstIdx, &pix_f8);
+
+    if (channelsDst == 3)
+    {
+        srcIdx += srcStridesNCH.y;
+        dstIdx += dstStridesNCH.y;
+
+        rpp_hip_load8_and_unpack_to_float8(srcPtr + srcIdx, &pix_f8);
+        rpp_hip_pack_float8_and_store8(dstPtr + dstIdx, &pix_f8);
+
+        srcIdx += srcStridesNCH.y;
+        dstIdx += dstStridesNCH.y;
+
+        rpp_hip_load8_and_unpack_to_float8(srcPtr + srcIdx, &pix_f8);
+        rpp_hip_pack_float8_and_store8(dstPtr + dstIdx, &pix_f8);
+    }
+}
+
+template <typename T>
+__global__ void ricap_pkd3_pln3_tensor(T *srcPtr,
+                                       uint2 srcStridesNH,
+                                       T *dstPtr,
+                                       uint3 dstStridesNCH,
+                                       uint *permutedIndices,
+                                       RpptROIPtr cropRegion,
+                                       uint2 srcWH)
+{
+    int id_x = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x) * 8;
+    int id_y = hipBlockIdx_y * hipBlockDim_y + hipThreadIdx_y;
+    int id_z = hipBlockIdx_z * hipBlockDim_z + hipThreadIdx_z;
+
+    if ((id_y >= srcWH.y) || (id_x >= srcWH.x))
+    {
+        return;
+    }
+
+    uint srcIdx;
+    uint permuteIdx = id_z * 4;
+    if ((id_x >= 0) && (id_y >= 0) && (id_y < cropRegion[0].xywhROI.roiHeight) && (id_x < cropRegion[0].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx] * srcStridesNH.x) + ((id_y + cropRegion[0].xywhROI.xy.y) * srcStridesNH.y) + ((id_x + cropRegion[0].xywhROI.xy.x)*3);
+    else if ((id_y >= 0) && (id_x >= cropRegion[0].xywhROI.roiWidth) && (id_y < (cropRegion[1].xywhROI.roiHeight)))
+        srcIdx = (permutedIndices[permuteIdx + 1] * srcStridesNH.x) + ((id_y + cropRegion[1].xywhROI.xy.y) * srcStridesNH.y) + ((id_x - cropRegion[0].xywhROI.roiWidth + cropRegion[1].xywhROI.xy.x)*3);
+    else if ((id_y >= cropRegion[1].xywhROI.roiHeight) && (id_x >= 0) && (id_x < cropRegion[2].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx + 2] * srcStridesNH.x) + ((id_y - cropRegion[1].xywhROI.roiHeight + cropRegion[2].xywhROI.xy.y) * srcStridesNH.y) + ((id_x + cropRegion[2].xywhROI.xy.x)*3);
+    else if ((id_y >= cropRegion[1].xywhROI.roiHeight) && (id_x >= cropRegion[2].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx + 3] * srcStridesNH.x) + ((id_y - cropRegion[1].xywhROI.roiHeight + cropRegion[3].xywhROI.xy.y) * srcStridesNH.y) + ((id_x - cropRegion[2].xywhROI.roiWidth + cropRegion[3].xywhROI.xy.x)*3);
+
+    uint dstIdx = (id_z * dstStridesNCH.x) + (id_y * dstStridesNCH.z) + id_x;
+
+    d_float24 pix_f24;
+    rpp_hip_load24_pkd3_and_unpack_to_float24_pln3(srcPtr + srcIdx, &pix_f24);
+    rpp_hip_pack_float24_pln3_and_store24_pln3(dstPtr + dstIdx, dstStridesNCH.y, &pix_f24);
+}
+
+template <typename T>
+__global__ void ricap_pln3_pkd3_tensor(T *srcPtr,
+                                       uint3 srcStridesNCH,
+                                       T *dstPtr,
+                                       uint2 dstStridesNH,
+                                       uint *permutedIndices,
+                                       RpptROIPtr cropRegion,
+                                       uint2 srcWH)
+{
+    int id_x = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x) * 8;
+    int id_y = hipBlockIdx_y * hipBlockDim_y + hipThreadIdx_y;
+    int id_z = hipBlockIdx_z * hipBlockDim_z + hipThreadIdx_z;
+
+    if ((id_y >= srcWH.y) || (id_x >= srcWH.x))
+    {
+        return;
+    }
+
+    uint srcIdx;
+    uint permuteIdx = id_z * 4;
+    if ((id_x >= 0) && (id_y >= 0) && (id_y < cropRegion[0].xywhROI.roiHeight) && (id_x < cropRegion[0].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx] * srcStridesNCH.x) + ((id_y + cropRegion[0].xywhROI.xy.y) * srcStridesNCH.z) + (id_x + cropRegion[0].xywhROI.xy.x);
+    else if ((id_y >= 0) && (id_x >= cropRegion[0].xywhROI.roiWidth) && (id_y < (cropRegion[1].xywhROI.roiHeight)))
+        srcIdx = (permutedIndices[permuteIdx + 1] * srcStridesNCH.x) + ((id_y + cropRegion[1].xywhROI.xy.y) * srcStridesNCH.z) + (id_x - cropRegion[0].xywhROI.roiWidth + cropRegion[1].xywhROI.xy.x);
+    else if ((id_y >= cropRegion[1].xywhROI.roiHeight) && (id_x >= 0) && (id_x < cropRegion[2].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx + 2] * srcStridesNCH.x) + ((id_y - cropRegion[1].xywhROI.roiHeight + cropRegion[2].xywhROI.xy.y) * srcStridesNCH.z) + (id_x + cropRegion[2].xywhROI.xy.x);
+    else if ((id_y >= cropRegion[1].xywhROI.roiHeight) && (id_x >= cropRegion[2].xywhROI.roiWidth))
+        srcIdx = (permutedIndices[permuteIdx + 3] * srcStridesNCH.x) + ((id_y - cropRegion[1].xywhROI.roiHeight + cropRegion[3].xywhROI.xy.y) * srcStridesNCH.z) + (id_x - cropRegion[2].xywhROI.roiWidth + cropRegion[3].xywhROI.xy.x);
+
+    uint dstIdx = (id_z * dstStridesNH.x) + (id_y * dstStridesNH.y) + id_x * 3;
+
+    d_float24 pix_f24;
+    rpp_hip_load24_pln3_and_unpack_to_float24_pkd3(srcPtr + srcIdx, srcStridesNCH.y, &pix_f24);
+    rpp_hip_pack_float24_pkd3_and_store24_pkd3(dstPtr + dstIdx, &pix_f24);
+}
+
+template <typename T>
+RppStatus hip_exec_ricap_tensor(T *srcPtr,
+                                RpptDescPtr srcDescPtr,
+                                T *dstPtr,
+                                RpptDescPtr dstDescPtr,
+                                Rpp32u *permutationTensor,
+                                RpptROIPtr roiPtrInputCropRegion,
+                                RpptRoiType roiType,
+                                rpp::Handle& handle)
+{
+    if (roiType == RpptRoiType::LTRB)
+        hip_exec_roi_converison_ltrb_to_xywh(roiPtrInputCropRegion, handle);
+
+    int localThreads_x = LOCAL_THREADS_X;
+    int localThreads_y = LOCAL_THREADS_Y;
+    int localThreads_z = LOCAL_THREADS_Z;
+    int globalThreads_x = (dstDescPtr->strides.hStride + 7) >> 3;
+    int globalThreads_y = dstDescPtr->h;
+    int globalThreads_z = handle.GetBatchSize();
+
+    if ((srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NHWC))
+    {
+        hipLaunchKernelGGL(ricap_pkd_tensor,
+                           dim3(ceil((float)globalThreads_x / localThreads_x), ceil((float)globalThreads_y / localThreads_y), ceil((float)globalThreads_z / localThreads_z)),
+                           dim3(localThreads_x, localThreads_y, localThreads_z),
+                           0,
+                           handle.GetStream(),
+                           srcPtr,
+                           make_uint2(srcDescPtr->strides.nStride, srcDescPtr->strides.hStride),
+                           dstPtr,
+                           make_uint2(dstDescPtr->strides.nStride, dstDescPtr->strides.hStride),
+                           permutationTensor,
+                           roiPtrInputCropRegion,
+                           make_uint2(srcDescPtr->w, srcDescPtr->h));
+    }
+    else if ((srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NCHW))
+    {
+        hipLaunchKernelGGL(ricap_pln_tensor,
+                           dim3(ceil((float)globalThreads_x / localThreads_x), ceil((float)globalThreads_y / localThreads_y), ceil((float)globalThreads_z / localThreads_z)),
+                           dim3(localThreads_x, localThreads_y, localThreads_z),
+                           0,
+                           handle.GetStream(),
+                           srcPtr,
+                           make_uint3(srcDescPtr->strides.nStride, srcDescPtr->strides.cStride, srcDescPtr->strides.hStride),
+                           dstPtr,
+                           make_uint3(dstDescPtr->strides.nStride, dstDescPtr->strides.cStride, dstDescPtr->strides.hStride),
+                           dstDescPtr->c,
+                           permutationTensor,
+                           roiPtrInputCropRegion,
+                           make_uint2(srcDescPtr->w, srcDescPtr->h));
+    }
+    else if ((srcDescPtr->c == 3) && (dstDescPtr->c == 3))
+    {
+        if ((srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            hipLaunchKernelGGL(ricap_pkd3_pln3_tensor,
+                               dim3(ceil((float)globalThreads_x / localThreads_x), ceil((float)globalThreads_y / localThreads_y), ceil((float)globalThreads_z / localThreads_z)),
+                               dim3(localThreads_x, localThreads_y, localThreads_z),
+                               0,
+                               handle.GetStream(),
+                               srcPtr,
+                               make_uint2(srcDescPtr->strides.nStride, srcDescPtr->strides.hStride),
+                               dstPtr,
+                               make_uint3(dstDescPtr->strides.nStride, dstDescPtr->strides.cStride, dstDescPtr->strides.hStride),
+                               permutationTensor,
+                               roiPtrInputCropRegion,
+                               make_uint2(srcDescPtr->w, srcDescPtr->h));
+        }
+        else if ((srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            globalThreads_x = (srcDescPtr->strides.hStride + 7) >> 3;
+            hipLaunchKernelGGL(ricap_pln3_pkd3_tensor,
+                               dim3(ceil((float)globalThreads_x / localThreads_x), ceil((float)globalThreads_y / localThreads_y), ceil((float)globalThreads_z / localThreads_z)),
+                               dim3(localThreads_x, localThreads_y, localThreads_z),
+                               0,
+                               handle.GetStream(),
+                               srcPtr,
+                               make_uint3(srcDescPtr->strides.nStride, srcDescPtr->strides.cStride, srcDescPtr->strides.hStride),
+                               dstPtr,
+                               make_uint2(dstDescPtr->strides.nStride, dstDescPtr->strides.hStride),
+                               permutationTensor,
+                               roiPtrInputCropRegion,
+                               make_uint2(srcDescPtr->w, srcDescPtr->h));
+        }
+    }
+
+    return RPP_SUCCESS;
+}
diff --git a/src/modules/hip/kernel/water.hpp b/src/modules/hip/kernel/water.hpp
new file mode 100644
index 000000000..e496b1670
--- /dev/null
+++ b/src/modules/hip/kernel/water.hpp
@@ -0,0 +1,315 @@
+#include <hip/hip_runtime.h>
+#include "rpp_hip_common.hpp"
+
+__device__ void water_roi_and_srclocs_hip_compute(int id_x, int id_y, float4 *amplX_f4, float4 *amplY_f4,
+                                                  float freqX, float freqY, float phaseX, float phaseY, d_float16 *locSrc_f16)
+{
+    d_float8 increment_f8, locDst_f8x, locDst_f8y;
+    increment_f8.f4[0] = make_float4(0.0f, 1.0f, 2.0f, 3.0f);
+    increment_f8.f4[1] = make_float4(4.0f, 5.0f, 6.0f, 7.0f);
+    locDst_f8x.f4[0] = static_cast<float4>(id_x) + increment_f8.f4[0];
+    locDst_f8x.f4[1] = static_cast<float4>(id_x) + increment_f8.f4[1];
+    locDst_f8y.f4[0] = static_cast<float4>(id_y);
+    locDst_f8y.f4[1] = static_cast<float4>(id_y);
+
+    d_float8 sinFactor_f8, cosFactor_f8;
+    sinFactor_f8.f4[0] = static_cast<float4>((sinf(fmaf(freqX, static_cast<float>(id_y), phaseX))));
+    sinFactor_f8.f4[1] = sinFactor_f8.f4[0];
+    cosFactor_f8.f1[0] = cosf(fmaf(freqY, locDst_f8x.f1[0], phaseY));
+    cosFactor_f8.f1[1] = cosf(fmaf(freqY, locDst_f8x.f1[1], phaseY));
+    cosFactor_f8.f1[2] = cosf(fmaf(freqY, locDst_f8x.f1[2], phaseY));
+    cosFactor_f8.f1[3] = cosf(fmaf(freqY, locDst_f8x.f1[3], phaseY));
+    cosFactor_f8.f1[4] = cosf(fmaf(freqY, locDst_f8x.f1[4], phaseY));
+    cosFactor_f8.f1[5] = cosf(fmaf(freqY, locDst_f8x.f1[5], phaseY));
+    cosFactor_f8.f1[6] = cosf(fmaf(freqY, locDst_f8x.f1[6], phaseY));
+    cosFactor_f8.f1[7] = cosf(fmaf(freqY, locDst_f8x.f1[7], phaseY));
+
+    locSrc_f16->f4[0] =  locDst_f8x.f4[0] + (*amplX_f4 * sinFactor_f8.f4[0]);  // Compute src x locations in float for dst x locations [0-3]
+    locSrc_f16->f4[1] =  locDst_f8x.f4[1] + (*amplX_f4 * sinFactor_f8.f4[1]);  // Compute src x locations in float for dst x locations [4-7]
+    locSrc_f16->f4[2] =  locDst_f8y.f4[0] + (*amplY_f4 * cosFactor_f8.f4[0]);  // Compute src y locations in float for dst y locations [0-3]
+    locSrc_f16->f4[3] =  locDst_f8y.f4[1] + (*amplY_f4 * cosFactor_f8.f4[1]);  // Compute src y locations in float for dst y locations [4-7]
+}
+
+template <typename T>
+__global__ void water_pkd_tensor(T *srcPtr,
+                                 uint2 srcStridesNH,
+                                 T *dstPtr,
+                                 uint2 dstStridesNH,
+                                 float *amplXTensor,
+                                 float *amplYTensor,
+                                 float *freqXTensor,
+                                 float *freqYTensor,
+                                 float *phaseXTensor,
+                                 float *phaseYTensor,
+                                 RpptROIPtr roiTensorPtrSrc)
+{
+    int id_x = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x) * 8;
+    int id_y = hipBlockIdx_y * hipBlockDim_y + hipThreadIdx_y;
+    int id_z = hipBlockIdx_z * hipBlockDim_z + hipThreadIdx_z;
+
+    if ((id_y > roiTensorPtrSrc[id_z].ltrbROI.rb.y) || (id_x > roiTensorPtrSrc[id_z].ltrbROI.rb.x))
+    {
+        return;
+    }
+
+    uint srcIdx = (id_z * srcStridesNH.x);
+    uint dstIdx = (id_z * dstStridesNH.x) + (id_y * dstStridesNH.y) + id_x * 3;
+
+    float4 amplX_f4 = static_cast<float4>(amplXTensor[id_z]);
+    float4 amplY_f4 = static_cast<float4>(amplYTensor[id_z]);
+    float freqX = freqXTensor[id_z];
+    float freqY = freqYTensor[id_z];
+    float phaseX = phaseXTensor[id_z];
+    float phaseY = phaseYTensor[id_z];
+
+    int4 srcRoi_i4 = *(reinterpret_cast<int4 *>(&roiTensorPtrSrc[id_z]));
+    d_float16 locSrc_f16;
+    water_roi_and_srclocs_hip_compute(id_x, id_y, &amplX_f4, &amplY_f4, freqX, freqY, phaseX, phaseY, &locSrc_f16);
+
+    d_float24 dst_f24;
+    rpp_hip_interpolate24_nearest_neighbor_pkd3(srcPtr + srcIdx, srcStridesNH.y, &locSrc_f16, &srcRoi_i4, &dst_f24);
+    rpp_hip_pack_float24_pkd3_and_store24_pkd3(dstPtr + dstIdx, &dst_f24);
+}
+
+template <typename T>
+__global__ void water_pln_tensor(T *srcPtr,
+                                 uint3 srcStridesNCH,
+                                 T *dstPtr,
+                                 uint3 dstStridesNCH,
+                                 int channelsDst,
+                                 float *amplXTensor,
+                                 float *amplYTensor,
+                                 float *freqXTensor,
+                                 float *freqYTensor,
+                                 float *phaseXTensor,
+                                 float *phaseYTensor,
+                                 RpptROIPtr roiTensorPtrSrc)
+{
+    int id_x = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x) * 8;
+    int id_y = hipBlockIdx_y * hipBlockDim_y + hipThreadIdx_y;
+    int id_z = hipBlockIdx_z * hipBlockDim_z + hipThreadIdx_z;
+
+    if ((id_y > roiTensorPtrSrc[id_z].ltrbROI.rb.y) || (id_x > roiTensorPtrSrc[id_z].ltrbROI.rb.x))
+    {
+        return;
+    }
+
+    uint srcIdx = (id_z * srcStridesNCH.x);
+    uint dstIdx = (id_z * dstStridesNCH.x) + (id_y * dstStridesNCH.z) + id_x;
+
+    float4 amplX_f4 = static_cast<float4>(amplXTensor[id_z]);
+    float4 amplY_f4 = static_cast<float4>(amplYTensor[id_z]);
+    float freqX = freqXTensor[id_z];
+    float freqY = freqYTensor[id_z];
+    float phaseX = phaseXTensor[id_z];
+    float phaseY = phaseYTensor[id_z];
+
+    int4 srcRoi_i4 = *(reinterpret_cast<int4 *>(&roiTensorPtrSrc[id_z]));
+    d_float16 locSrc_f16;
+    water_roi_and_srclocs_hip_compute(id_x, id_y, &amplX_f4, &amplY_f4, freqX, freqY, phaseX, phaseY, &locSrc_f16);
+
+    d_float8 dst_f8;
+    rpp_hip_interpolate8_nearest_neighbor_pln1(srcPtr + srcIdx, srcStridesNCH.z, &locSrc_f16, &srcRoi_i4, &dst_f8);
+    rpp_hip_pack_float8_and_store8(dstPtr + dstIdx, &dst_f8);
+
+    if (channelsDst == 3)
+    {
+        srcIdx += srcStridesNCH.y;
+        dstIdx += dstStridesNCH.y;
+
+        rpp_hip_interpolate8_nearest_neighbor_pln1(srcPtr + srcIdx, srcStridesNCH.z, &locSrc_f16, &srcRoi_i4, &dst_f8);
+        rpp_hip_pack_float8_and_store8(dstPtr + dstIdx, &dst_f8);
+
+        srcIdx += srcStridesNCH.y;
+        dstIdx += dstStridesNCH.y;
+
+        rpp_hip_interpolate8_nearest_neighbor_pln1(srcPtr + srcIdx, srcStridesNCH.z, &locSrc_f16, &srcRoi_i4, &dst_f8);
+        rpp_hip_pack_float8_and_store8(dstPtr + dstIdx, &dst_f8);
+    }
+}
+
+template <typename T>
+__global__ void water_pkd3_pln3_tensor(T *srcPtr,
+                                       uint2 srcStridesNH,
+                                       T *dstPtr,
+                                       uint3 dstStridesNCH,
+                                       float *amplXTensor,
+                                       float *amplYTensor,
+                                       float *freqXTensor,
+                                       float *freqYTensor,
+                                       float *phaseXTensor,
+                                       float *phaseYTensor,
+                                       RpptROIPtr roiTensorPtrSrc)
+{
+    int id_x = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x) * 8;
+    int id_y = hipBlockIdx_y * hipBlockDim_y + hipThreadIdx_y;
+    int id_z = hipBlockIdx_z * hipBlockDim_z + hipThreadIdx_z;
+
+    if ((id_y > roiTensorPtrSrc[id_z].ltrbROI.rb.y) || (id_x > roiTensorPtrSrc[id_z].ltrbROI.rb.x))
+    {
+        return;
+    }
+
+    uint srcIdx = (id_z * srcStridesNH.x);
+    uint dstIdx = (id_z * dstStridesNCH.x) + (id_y * dstStridesNCH.z) + id_x;
+
+    float4 amplX_f4 = static_cast<float4>(amplXTensor[id_z]);
+    float4 amplY_f4 = static_cast<float4>(amplYTensor[id_z]);
+    float freqX = freqXTensor[id_z];
+    float freqY = freqYTensor[id_z];
+    float phaseX = phaseXTensor[id_z];
+    float phaseY = phaseYTensor[id_z];
+
+    int4 srcRoi_i4 = *(reinterpret_cast<int4 *>(&roiTensorPtrSrc[id_z]));
+    d_float16 locSrc_f16;
+    water_roi_and_srclocs_hip_compute(id_x, id_y, &amplX_f4, &amplY_f4, freqX, freqY, phaseX, phaseY, &locSrc_f16);
+
+    d_float24 dst_f24;
+    rpp_hip_interpolate24_nearest_neighbor_pkd3(srcPtr + srcIdx, srcStridesNH.y, &locSrc_f16, &srcRoi_i4, &dst_f24);
+    rpp_hip_pack_float24_pkd3_and_store24_pln3(dstPtr + dstIdx, dstStridesNCH.y, &dst_f24);
+}
+
+template <typename T>
+__global__ void water_pln3_pkd3_tensor(T *srcPtr,
+                                       uint3 srcStridesNCH,
+                                       T *dstPtr,
+                                       uint2 dstStridesNH,
+                                       float *amplXTensor,
+                                       float *amplYTensor,
+                                       float *freqXTensor,
+                                       float *freqYTensor,
+                                       float *phaseXTensor,
+                                       float *phaseYTensor,
+                                       RpptROIPtr roiTensorPtrSrc)
+{
+    int id_x = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x) * 8;
+    int id_y = hipBlockIdx_y * hipBlockDim_y + hipThreadIdx_y;
+    int id_z = hipBlockIdx_z * hipBlockDim_z + hipThreadIdx_z;
+
+    if ((id_y > roiTensorPtrSrc[id_z].ltrbROI.rb.y) || (id_x > roiTensorPtrSrc[id_z].ltrbROI.rb.x))
+    {
+        return;
+    }
+
+    uint srcIdx = (id_z * srcStridesNCH.x);
+    uint dstIdx = (id_z * dstStridesNH.x) + (id_y * dstStridesNH.y) + id_x * 3;
+
+    float4 amplX_f4 = static_cast<float4>(amplXTensor[id_z]);
+    float4 amplY_f4 = static_cast<float4>(amplYTensor[id_z]);
+    float freqX = freqXTensor[id_z];
+    float freqY = freqYTensor[id_z];
+    float phaseX = phaseXTensor[id_z];
+    float phaseY = phaseYTensor[id_z];
+
+    int4 srcRoi_i4 = *(reinterpret_cast<int4 *>(&roiTensorPtrSrc[id_z]));
+    d_float16 locSrc_f16;
+    water_roi_and_srclocs_hip_compute(id_x, id_y, &amplX_f4, &amplY_f4, freqX, freqY, phaseX, phaseY, &locSrc_f16);
+
+    d_float24 dst_f24;
+    rpp_hip_interpolate24_nearest_neighbor_pln3(srcPtr + srcIdx, &srcStridesNCH, &locSrc_f16, &srcRoi_i4, &dst_f24);
+    rpp_hip_pack_float24_pln3_and_store24_pkd3(dstPtr + dstIdx, &dst_f24);
+}
+
+template <typename T>
+RppStatus hip_exec_water_tensor(T *srcPtr,
+                                RpptDescPtr srcDescPtr,
+                                T *dstPtr,
+                                RpptDescPtr dstDescPtr,
+                                RpptROIPtr roiTensorPtrSrc,
+                                RpptRoiType roiType,
+                                rpp::Handle& handle)
+{
+    if (roiType == RpptRoiType::XYWH)
+        hip_exec_roi_converison_xywh_to_ltrb(roiTensorPtrSrc, handle);
+
+    int localThreads_x = 16;
+    int localThreads_y = 16;
+    int localThreads_z = 1;
+    int globalThreads_x = (dstDescPtr->strides.hStride + 7) >> 3;
+    int globalThreads_y = dstDescPtr->h;
+    int globalThreads_z = handle.GetBatchSize();
+
+    if ((srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NHWC))
+    {
+        hipLaunchKernelGGL(water_pkd_tensor,
+                           dim3(ceil(static_cast<float>(globalThreads_x)/localThreads_x), ceil((float)globalThreads_y/localThreads_y), ceil((float)globalThreads_z/localThreads_z)),
+                           dim3(localThreads_x, localThreads_y, localThreads_z),
+                           0,
+                           handle.GetStream(),
+                           srcPtr,
+                           make_uint2(srcDescPtr->strides.nStride, srcDescPtr->strides.hStride),
+                           dstPtr,
+                           make_uint2(dstDescPtr->strides.nStride, dstDescPtr->strides.hStride),
+                           handle.GetInitHandle()->mem.mgpu.floatArr[0].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[1].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[2].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[3].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[4].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[5].floatmem,
+                           roiTensorPtrSrc);
+    }
+    else if ((srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NCHW))
+    {
+        hipLaunchKernelGGL(water_pln_tensor,
+                           dim3(ceil(static_cast<float>(globalThreads_x)/localThreads_x), ceil((float)globalThreads_y/localThreads_y), ceil((float)globalThreads_z/localThreads_z)),
+                           dim3(localThreads_x, localThreads_y, localThreads_z),
+                           0,
+                           handle.GetStream(),
+                           srcPtr,
+                           make_uint3(srcDescPtr->strides.nStride, srcDescPtr->strides.cStride, srcDescPtr->strides.hStride),
+                           dstPtr,
+                           make_uint3(dstDescPtr->strides.nStride, dstDescPtr->strides.cStride, dstDescPtr->strides.hStride),
+                           dstDescPtr->c,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[0].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[1].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[2].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[3].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[4].floatmem,
+                           handle.GetInitHandle()->mem.mgpu.floatArr[5].floatmem,
+                           roiTensorPtrSrc);
+    }
+    else if ((srcDescPtr->c == 3) && (dstDescPtr->c == 3))
+    {
+        if ((srcDescPtr->layout == RpptLayout::NHWC) && (dstDescPtr->layout == RpptLayout::NCHW))
+        {
+            hipLaunchKernelGGL(water_pkd3_pln3_tensor,
+                               dim3(ceil(static_cast<float>(globalThreads_x)/localThreads_x), ceil((float)globalThreads_y/localThreads_y), ceil((float)globalThreads_z/localThreads_z)),
+                               dim3(localThreads_x, localThreads_y, localThreads_z),
+                               0,
+                               handle.GetStream(),
+                               srcPtr,
+                               make_uint2(srcDescPtr->strides.nStride, srcDescPtr->strides.hStride),
+                               dstPtr,
+                               make_uint3(dstDescPtr->strides.nStride, dstDescPtr->strides.cStride, dstDescPtr->strides.hStride),
+                               handle.GetInitHandle()->mem.mgpu.floatArr[0].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[1].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[2].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[3].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[4].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[5].floatmem,
+                               roiTensorPtrSrc);
+        }
+        else if ((srcDescPtr->layout == RpptLayout::NCHW) && (dstDescPtr->layout == RpptLayout::NHWC))
+        {
+            globalThreads_x = (srcDescPtr->strides.hStride + 7) >> 3;
+            hipLaunchKernelGGL(water_pln3_pkd3_tensor,
+                               dim3(ceil(static_cast<float>(globalThreads_x)/localThreads_x), ceil((float)globalThreads_y/localThreads_y), ceil((float)globalThreads_z/localThreads_z)),
+                               dim3(localThreads_x, localThreads_y, localThreads_z),
+                               0,
+                               handle.GetStream(),
+                               srcPtr,
+                               make_uint3(srcDescPtr->strides.nStride, srcDescPtr->strides.cStride, srcDescPtr->strides.hStride),
+                               dstPtr,
+                               make_uint2(dstDescPtr->strides.nStride, dstDescPtr->strides.hStride),
+                               handle.GetInitHandle()->mem.mgpu.floatArr[0].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[1].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[2].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[3].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[4].floatmem,
+                               handle.GetInitHandle()->mem.mgpu.floatArr[5].floatmem,
+                               roiTensorPtrSrc);
+        }
+    }
+
+    return RPP_SUCCESS;
+}
diff --git a/src/modules/hip/tmp_dir.cpp b/src/modules/hip/tmp_dir.cpp
index 167e296d5..212655f12 100644
--- a/src/modules/hip/tmp_dir.cpp
+++ b/src/modules/hip/tmp_dir.cpp
@@ -1,5 +1,5 @@
-#include <boost/filesystem.hpp>
-
+#include <chrono>
+#include "filesystem.h"
 #include "rpp/tmp_dir.hpp"
 #include "rpp/errors.hpp"
 #include "rpp/logger.hpp"
@@ -21,10 +21,10 @@ void SystemCmd(std::string cmd)
 }
 
 TmpDir::TmpDir(std::string prefix)
-    : path(boost::filesystem::temp_directory_path() /
-           boost::filesystem::unique_path("rpp-" + prefix + "-%%%%-%%%%-%%%%-%%%%"))
+    : path(fs::temp_directory_path() / ("rpp-" + prefix + "-" +
+            std::to_string(std::chrono::system_clock::now().time_since_epoch().count())))
 {
-    boost::filesystem::create_directories(this->path);
+    fs::create_directories(this->path);
 }
 
 void TmpDir::Execute(std::string exe, std::string args)
@@ -36,6 +36,6 @@ void TmpDir::Execute(std::string exe, std::string args)
     // std::cout<<"Done with Execute routine"<<cmd.c_str()<<std::endl;
 }
 
-TmpDir::~TmpDir() { boost::filesystem::remove_all(this->path); }
+TmpDir::~TmpDir() { fs::remove_all(this->path); }
 
 } // namespace rpp
diff --git a/src/modules/logger.cpp b/src/modules/logger.cpp
index 0d3a79340..05b8d3dc8 100644
--- a/src/modules/logger.cpp
+++ b/src/modules/logger.cpp
@@ -24,7 +24,6 @@
  *
  *******************************************************************************/
 #include <cstdlib>
-#include <config.h>
 
 #ifdef __linux__
 #include <unistd.h>
diff --git a/src/modules/rppi_validate.hpp b/src/modules/rppi_validate.hpp
index 26d7f6064..89f5bb320 100644
--- a/src/modules/rppi_validate.hpp
+++ b/src/modules/rppi_validate.hpp
@@ -336,4 +336,27 @@ inline void get_dstBatchIndex(rpp::Handle& handle, unsigned int channel, RppiChn
 }
 
 #endif // GPU_SUPPORT
+
+inline int check_roi_out_of_bounds(RpptROIPtr roiPtrImage, RpptDescPtr srcDescPtr, RpptRoiType type)
+{
+    int x, y, w, h;
+    if (type == RpptRoiType::XYWH)
+    {
+        x = (0 <= roiPtrImage->xywhROI.xy.x < srcDescPtr->w) ? roiPtrImage->xywhROI.xy.x : -1;
+        y = (0 <= roiPtrImage->xywhROI.xy.y < srcDescPtr->h) ? roiPtrImage->xywhROI.xy.y : -1;
+        w = ((roiPtrImage->xywhROI.roiWidth) <= srcDescPtr->w) ? roiPtrImage->xywhROI.roiWidth : -1;
+        h = ((roiPtrImage->xywhROI.roiHeight) <= srcDescPtr->h) ? roiPtrImage->xywhROI.roiHeight : -1;
+    }
+    else if (type == RpptRoiType::LTRB)
+    {
+        x = (0 <= roiPtrImage->ltrbROI.lt.x < srcDescPtr->w) ? roiPtrImage->ltrbROI.lt.x : -1;
+        y = (0 <= roiPtrImage->ltrbROI.lt.y < srcDescPtr->h) ? roiPtrImage->ltrbROI.lt.y : -1;
+        w = (0 <= roiPtrImage->ltrbROI.rb.x < srcDescPtr->w) ? roiPtrImage->ltrbROI.rb.x - roiPtrImage->ltrbROI.lt.x + 1 : -1;
+        h = (0 <= roiPtrImage->ltrbROI.rb.y < srcDescPtr->h) ? roiPtrImage->ltrbROI.rb.y - roiPtrImage->ltrbROI.lt.y + 1 : -1;
+    }
+    if ((x < 0) || (y < 0) || (w < 0) || (h < 0))
+        return -1;
+    return 0;
+}
+
 #endif // RPPI_VALIDATE_OPERATIONS_FUNCTIONS
diff --git a/src/modules/rppt_tensor_audio_augmentations.cpp b/src/modules/rppt_tensor_audio_augmentations.cpp
index 38ec880a5..b21f46da3 100644
--- a/src/modules/rppt_tensor_audio_augmentations.cpp
+++ b/src/modules/rppt_tensor_audio_augmentations.cpp
@@ -1,13 +1,16 @@
 /*
 Copyright (c) 2019 - 2023 Advanced Micro Devices, Inc. All rights reserved.
+
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
 in the Software without restriction, including without limitation the rights
 to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 copies of the Software, and to permit persons to whom the Software is
 furnished to do so, subject to the following conditions:
+
 The above copyright notice and this permission notice shall be included in
 all copies or substantial portions of the Software.
+
 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
diff --git a/src/modules/rppt_tensor_color_augmentations.cpp b/src/modules/rppt_tensor_color_augmentations.cpp
index 19eab33cb..d14dcaa43 100644
--- a/src/modules/rppt_tensor_color_augmentations.cpp
+++ b/src/modules/rppt_tensor_color_augmentations.cpp
@@ -617,8 +617,8 @@ RppStatus rppt_lut_host(RppPtr_t srcPtr,
                         rppHandle_t rppHandle)
 {
     if (srcDescPtr->dataType != RpptDataType::U8 && srcDescPtr->dataType != RpptDataType::I8)
-        return RPP_ERROR_INVALID_SRC_DATATYPE;
-    
+        return RPP_ERROR_INVALID_DATATYPE;
+
     RppLayoutParams layoutParams = get_layout_params(srcDescPtr->layout, srcDescPtr->c);
 
     if ((srcDescPtr->dataType == RpptDataType::U8) && (dstDescPtr->dataType == RpptDataType::U8))
@@ -1149,7 +1149,7 @@ RppStatus rppt_lut_gpu(RppPtr_t srcPtr,
 {
 #ifdef HIP_COMPILE
     if (srcDescPtr->dataType != RpptDataType::U8 && srcDescPtr->dataType != RpptDataType::I8)
-        return RPP_ERROR_INVALID_SRC_DATATYPE;
+        return RPP_ERROR_INVALID_DATATYPE;
 
     if ((srcDescPtr->dataType == RpptDataType::U8) && (dstDescPtr->dataType == RpptDataType::U8))
     {
diff --git a/src/modules/rppt_tensor_effects_augmentations.cpp b/src/modules/rppt_tensor_effects_augmentations.cpp
index bb5a22cc4..951f357ff 100644
--- a/src/modules/rppt_tensor_effects_augmentations.cpp
+++ b/src/modules/rppt_tensor_effects_augmentations.cpp
@@ -505,6 +505,168 @@ RppStatus rppt_non_linear_blend_host(RppPtr_t srcPtr1,
     return RPP_SUCCESS;
 }
 
+/******************** water ********************/
+
+RppStatus rppt_water_host(RppPtr_t srcPtr,
+                          RpptDescPtr srcDescPtr,
+                          RppPtr_t dstPtr,
+                          RpptDescPtr dstDescPtr,
+                          Rpp32f *amplitudeXTensor,
+                          Rpp32f *amplitudeYTensor,
+                          Rpp32f *frequencyXTensor,
+                          Rpp32f *frequencyYTensor,
+                          Rpp32f *phaseXTensor,
+                          Rpp32f *phaseYTensor,
+                          RpptROIPtr roiTensorPtrSrc,
+                          RpptRoiType roiType,
+                          rppHandle_t rppHandle)
+{
+    RppLayoutParams layoutParams = get_layout_params(srcDescPtr->layout, srcDescPtr->c);
+    if ((srcDescPtr->dataType == RpptDataType::U8) && (dstDescPtr->dataType == RpptDataType::U8))
+    {
+        water_u8_u8_host_tensor(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes,
+                                srcDescPtr,
+                                static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes,
+                                dstDescPtr,
+                                amplitudeXTensor,
+                                amplitudeYTensor,
+                                frequencyXTensor,
+                                frequencyYTensor,
+                                phaseXTensor,
+                                phaseYTensor,
+                                roiTensorPtrSrc,
+                                roiType,
+                                layoutParams,
+                                rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::F16) && (dstDescPtr->dataType == RpptDataType::F16))
+    {
+        water_f16_f16_host_tensor(reinterpret_cast<Rpp16f*>(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes),
+                                  srcDescPtr,
+                                  reinterpret_cast<Rpp16f*>(static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes),
+                                  dstDescPtr,
+                                  amplitudeXTensor,
+                                  amplitudeYTensor,
+                                  frequencyXTensor,
+                                  frequencyYTensor,
+                                  phaseXTensor,
+                                  phaseYTensor,
+                                  roiTensorPtrSrc,
+                                  roiType,
+                                  layoutParams,
+                                  rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::F32) && (dstDescPtr->dataType == RpptDataType::F32))
+    {
+        water_f32_f32_host_tensor(reinterpret_cast<Rpp32f*>(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes),
+                                  srcDescPtr,
+                                  reinterpret_cast<Rpp32f*>(static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes),
+                                  dstDescPtr,
+                                  amplitudeXTensor,
+                                  amplitudeYTensor,
+                                  frequencyXTensor,
+                                  frequencyYTensor,
+                                  phaseXTensor,
+                                  phaseYTensor,
+                                  roiTensorPtrSrc,
+                                  roiType,
+                                  layoutParams,
+                                  rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::I8) && (dstDescPtr->dataType == RpptDataType::I8))
+    {
+        water_i8_i8_host_tensor(static_cast<Rpp8s*>(srcPtr) + srcDescPtr->offsetInBytes,
+                                srcDescPtr,
+                                static_cast<Rpp8s*>(dstPtr) + dstDescPtr->offsetInBytes,
+                                dstDescPtr,
+                                amplitudeXTensor,
+                                amplitudeYTensor,
+                                frequencyXTensor,
+                                frequencyYTensor,
+                                phaseXTensor,
+                                phaseYTensor,
+                                roiTensorPtrSrc,
+                                roiType,
+                                layoutParams,
+                                rpp::deref(rppHandle));
+    }
+
+    return RPP_SUCCESS;
+}
+
+/******************** ricap ********************/
+
+RppStatus rppt_ricap_host(RppPtr_t srcPtr,
+                          RpptDescPtr srcDescPtr,
+                          RppPtr_t dstPtr,
+                          RpptDescPtr dstDescPtr,
+                          Rpp32u *permutationTensor,
+                          RpptROIPtr roiPtrInputCropRegion,
+                          RpptRoiType roiType,
+                          rppHandle_t rppHandle)
+{
+    RppLayoutParams layoutParams = get_layout_params(srcDescPtr->layout, srcDescPtr->c);
+
+    if(srcDescPtr->n == 1) // BatchSize should always be greater than 1
+        return RPP_ERROR;
+    if ((check_roi_out_of_bounds(&roiPtrInputCropRegion[0], srcDescPtr, roiType) == -1) ||
+        (check_roi_out_of_bounds(&roiPtrInputCropRegion[1], srcDescPtr, roiType) == -1) ||
+        (check_roi_out_of_bounds(&roiPtrInputCropRegion[2], srcDescPtr, roiType) == -1) ||
+        (check_roi_out_of_bounds(&roiPtrInputCropRegion[3], srcDescPtr, roiType) == -1))
+        return RPP_ERROR_OUT_OF_BOUND_SRC_ROI;
+
+    if ((srcDescPtr->dataType == RpptDataType::U8) && (dstDescPtr->dataType == RpptDataType::U8))
+    {
+        ricap_u8_u8_host_tensor(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes,
+                                srcDescPtr,
+                                static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes,
+                                dstDescPtr,
+                                permutationTensor,
+                                roiPtrInputCropRegion,
+                                roiType,
+                                layoutParams,
+                                rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::F16) && (dstDescPtr->dataType == RpptDataType::F16))
+    {
+        ricap_f16_f16_host_tensor(reinterpret_cast<Rpp16f*>(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes),
+                                  srcDescPtr,
+                                  (Rpp16f*) (static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes),
+                                  dstDescPtr,
+                                  permutationTensor,
+                                  roiPtrInputCropRegion,
+                                  roiType,
+                                  layoutParams,
+                                  rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::F32) && (dstDescPtr->dataType == RpptDataType::F32))
+    {
+        ricap_f32_f32_host_tensor(reinterpret_cast<Rpp32f*>(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes),
+                                  srcDescPtr,
+                                  (Rpp32f*) (static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes),
+                                  dstDescPtr,
+                                  permutationTensor,
+                                  roiPtrInputCropRegion,
+                                  roiType,
+                                  layoutParams,
+                                  rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::I8) && (dstDescPtr->dataType == RpptDataType::I8))
+    {
+        ricap_i8_i8_host_tensor(static_cast<Rpp8s*>(srcPtr) + srcDescPtr->offsetInBytes,
+                                srcDescPtr,
+                                static_cast<Rpp8s*>(dstPtr) + dstDescPtr->offsetInBytes,
+                                dstDescPtr,
+                                permutationTensor,
+                                roiPtrInputCropRegion,
+                                roiType,
+                                layoutParams,
+                                rpp::deref(rppHandle));
+    }
+
+    return RPP_SUCCESS;
+}
+
 /********************************************************************************************************************/
 /*********************************************** RPP_GPU_SUPPORT = ON ***********************************************/
 /********************************************************************************************************************/
@@ -1013,4 +1175,149 @@ RppStatus rppt_non_linear_blend_gpu(RppPtr_t srcPtr1,
 #endif // backend
 }
 
+RppStatus rppt_water_gpu(RppPtr_t srcPtr,
+                         RpptDescPtr srcDescPtr,
+                         RppPtr_t dstPtr,
+                         RpptDescPtr dstDescPtr,
+                         Rpp32f *amplitudeXTensor,
+                         Rpp32f *amplitudeYTensor,
+                         Rpp32f *frequencyXTensor,
+                         Rpp32f *frequencyYTensor,
+                         Rpp32f *phaseXTensor,
+                         Rpp32f *phaseYTensor,
+                         RpptROIPtr roiTensorPtrSrc,
+                         RpptRoiType roiType,
+                         rppHandle_t rppHandle)
+{
+#ifdef HIP_COMPILE
+    Rpp32u paramIndex = 0;
+    copy_param_float(amplitudeXTensor, rpp::deref(rppHandle), paramIndex++);
+    copy_param_float(amplitudeYTensor, rpp::deref(rppHandle), paramIndex++);
+    copy_param_float(frequencyXTensor, rpp::deref(rppHandle), paramIndex++);
+    copy_param_float(frequencyYTensor, rpp::deref(rppHandle), paramIndex++);
+    copy_param_float(phaseXTensor, rpp::deref(rppHandle), paramIndex++);
+    copy_param_float(phaseYTensor, rpp::deref(rppHandle), paramIndex);
+
+    if ((srcDescPtr->dataType == RpptDataType::U8) && (dstDescPtr->dataType == RpptDataType::U8))
+    {
+        hip_exec_water_tensor(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes,
+                              srcDescPtr,
+                              static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes,
+                              dstDescPtr,
+                              roiTensorPtrSrc,
+                              roiType,
+                              rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::F16) && (dstDescPtr->dataType == RpptDataType::F16))
+    {
+        hip_exec_water_tensor(reinterpret_cast<half*>(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes),
+                              srcDescPtr,
+                              reinterpret_cast<half*>(static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes),
+                              dstDescPtr,
+                              roiTensorPtrSrc,
+                              roiType,
+                              rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::F32) && (dstDescPtr->dataType == RpptDataType::F32))
+    {
+        hip_exec_water_tensor(reinterpret_cast<Rpp32f*>(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes),
+                              srcDescPtr,
+                              reinterpret_cast<Rpp32f*>(static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes),
+                              dstDescPtr,
+                              roiTensorPtrSrc,
+                              roiType,
+                              rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::I8) && (dstDescPtr->dataType == RpptDataType::I8))
+    {
+        hip_exec_water_tensor(static_cast<Rpp8s*>(srcPtr) + srcDescPtr->offsetInBytes,
+                              srcDescPtr,
+                              static_cast<Rpp8s*>(dstPtr) + dstDescPtr->offsetInBytes,
+                              dstDescPtr,
+                              roiTensorPtrSrc,
+                              roiType,
+                              rpp::deref(rppHandle));
+    }
+
+    return RPP_SUCCESS;
+#elif defined(OCL_COMPILE)
+    return RPP_ERROR_NOT_IMPLEMENTED;
+#endif // backend
+}
+
+/******************** ricap ********************/
+
+RppStatus rppt_ricap_gpu(RppPtr_t srcPtr,
+                         RpptDescPtr srcDescPtr,
+                         RppPtr_t dstPtr,
+                         RpptDescPtr dstDescPtr,
+                         Rpp32u *permutationTensor,
+                         RpptROIPtr roiPtrInputCropRegion,
+                         RpptRoiType roiType,
+                         rppHandle_t rppHandle)
+{
+#ifdef HIP_COMPILE
+    if(srcDescPtr->n == 1) // BatchSize should always be greater than 1
+        return RPP_ERROR;
+    Rpp32u* permutationHipTensor;
+    hipMalloc(&permutationHipTensor, sizeof(Rpp32u)* 4 * dstDescPtr->n);
+    hipMemcpy(permutationHipTensor, permutationTensor, sizeof(Rpp32u)* 4 * dstDescPtr->n, hipMemcpyHostToDevice);
+
+    if ((check_roi_out_of_bounds(&roiPtrInputCropRegion[0],srcDescPtr,roiType) == -1)
+    || (check_roi_out_of_bounds(&roiPtrInputCropRegion[1],srcDescPtr,roiType) == -1)
+    || (check_roi_out_of_bounds(&roiPtrInputCropRegion[2],srcDescPtr,roiType) == -1)
+    || (check_roi_out_of_bounds(&roiPtrInputCropRegion[3],srcDescPtr,roiType) == -1))
+        return RPP_ERROR_OUT_OF_BOUND_SRC_ROI;
+
+    if ((srcDescPtr->dataType == RpptDataType::U8) && (dstDescPtr->dataType == RpptDataType::U8))
+    {
+        hip_exec_ricap_tensor(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes,
+                              srcDescPtr,
+                              static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes,
+                              dstDescPtr,
+                              permutationHipTensor,
+                              roiPtrInputCropRegion,
+                              roiType,
+                              rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::F16) && (dstDescPtr->dataType == RpptDataType::F16))
+    {
+        hip_exec_ricap_tensor(reinterpret_cast<half*>(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes),
+                              srcDescPtr,
+                              (half*) (static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes),
+                              dstDescPtr,
+                              permutationHipTensor,
+                              roiPtrInputCropRegion,
+                              roiType,
+                              rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::F32) && (dstDescPtr->dataType == RpptDataType::F32))
+    {
+        hip_exec_ricap_tensor(reinterpret_cast<Rpp32f*>(static_cast<Rpp8u*>(srcPtr) + srcDescPtr->offsetInBytes),
+                              srcDescPtr,
+                              (Rpp32f*) (static_cast<Rpp8u*>(dstPtr) + dstDescPtr->offsetInBytes),
+                              dstDescPtr,
+                              permutationHipTensor,
+                              roiPtrInputCropRegion,
+                              roiType,
+                              rpp::deref(rppHandle));
+    }
+    else if ((srcDescPtr->dataType == RpptDataType::I8) && (dstDescPtr->dataType == RpptDataType::I8))
+    {
+        hip_exec_ricap_tensor(static_cast<Rpp8s*>(srcPtr) + srcDescPtr->offsetInBytes,
+                              srcDescPtr,
+                              static_cast<Rpp8s*>(dstPtr) + dstDescPtr->offsetInBytes,
+                              dstDescPtr,
+                              permutationHipTensor,
+                              roiPtrInputCropRegion,
+                              roiType,
+                              rpp::deref(rppHandle));
+    }
+
+    return RPP_SUCCESS;
+#elif defined(OCL_COMPILE)
+    return RPP_ERROR_NOT_IMPLEMENTED;
+#endif // backend
+}
+
 #endif // GPU_SUPPORT
diff --git a/src/modules/rppt_tensor_statistical_operations.cpp b/src/modules/rppt_tensor_statistical_operations.cpp
index ba487c693..9287ab520 100644
--- a/src/modules/rppt_tensor_statistical_operations.cpp
+++ b/src/modules/rppt_tensor_statistical_operations.cpp
@@ -43,12 +43,12 @@ RppStatus rppt_tensor_sum_host(RppPtr_t srcPtr,
     if (srcDescPtr->c == 1)
     {
         if (tensorSumArrLength < srcDescPtr->n)      // sum of single channel
-            return RPP_ERROR_INSUFFICIENT_DST_BUFFER_LENGTH;
+            return RPP_ERROR_NOT_ENOUGH_MEMORY;
     }
     else if (srcDescPtr->c == 3)
     {
         if (tensorSumArrLength < srcDescPtr->n * 4)  // sum of each channel, and total sum of all 3 channels
-            return RPP_ERROR_INSUFFICIENT_DST_BUFFER_LENGTH;
+            return RPP_ERROR_NOT_ENOUGH_MEMORY;
     }
     if (roiType == RpptRoiType::XYWH)
     {
@@ -123,12 +123,12 @@ RppStatus rppt_tensor_sum_gpu(RppPtr_t srcPtr,
     if (srcDescPtr->c == 1)
     {
         if (tensorSumArrLength < srcDescPtr->n)      // sum of single channel
-            return RPP_ERROR_INSUFFICIENT_DST_BUFFER_LENGTH;
+            return RPP_ERROR_NOT_ENOUGH_MEMORY;
     }
     else if (srcDescPtr->c == 3)
     {
         if (tensorSumArrLength < srcDescPtr->n * 4)  // sum of each channel, and total sum of all 3 channels
-            return RPP_ERROR_INSUFFICIENT_DST_BUFFER_LENGTH;
+            return RPP_ERROR_NOT_ENOUGH_MEMORY;
     }
     if (roiType == RpptRoiType::XYWH)
     {
diff --git a/utilities/examples/brightness/CMakeLists.txt b/utilities/examples/brightness/CMakeLists.txt
index ec1ed58cd..9787319a6 100644
--- a/utilities/examples/brightness/CMakeLists.txt
+++ b/utilities/examples/brightness/CMakeLists.txt
@@ -42,11 +42,6 @@ find_package(hip QUIET)
 find_package(OpenCV QUIET)
 find_package(TurboJpeg QUIET)
 
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
diff --git a/utilities/examples/brightness/brightness_hip.h b/utilities/examples/brightness/brightness_hip.h
index dbccf2ec3..e4b0401a1 100644
--- a/utilities/examples/brightness/brightness_hip.h
+++ b/utilities/examples/brightness/brightness_hip.h
@@ -32,7 +32,6 @@ THE SOFTWARE.
 #include <omp.h>
 #include <fstream>
 #include <turbojpeg.h>
-#include <experimental/filesystem>
 
 using namespace cv;
 using namespace std;
diff --git a/utilities/rpp-performancetests/HIP_NEW/CMakeLists.txt b/utilities/rpp-performancetests/HIP_NEW/CMakeLists.txt
index a08154e33..30e4076e9 100644
--- a/utilities/rpp-performancetests/HIP_NEW/CMakeLists.txt
+++ b/utilities/rpp-performancetests/HIP_NEW/CMakeLists.txt
@@ -41,11 +41,6 @@ endif()
 find_package(hip QUIET)
 find_package(OpenCV QUIET)
 
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
diff --git a/utilities/rpp-performancetests/HOST_NEW/CMakeLists.txt b/utilities/rpp-performancetests/HOST_NEW/CMakeLists.txt
index 786763841..d186175c2 100644
--- a/utilities/rpp-performancetests/HOST_NEW/CMakeLists.txt
+++ b/utilities/rpp-performancetests/HOST_NEW/CMakeLists.txt
@@ -40,11 +40,6 @@ endif()
 find_package(OpenCL QUIET)
 find_package(OpenCV QUIET)
 
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
@@ -70,7 +65,7 @@ if (OpenCV_FOUND)
     target_link_libraries(Tensor_host_pkd3 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(Tensor_host_pln1 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(Tensor_host_pln3 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
-    # target_link_libraries(Single_host ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread boost_filesystem boost_system )
+    # target_link_libraries(Single_host ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread  )
 else()
     message("-- ${Yellow}Error: OpenCV must be installed to install ${PROJECT_NAME} successfully!${ColourReset}")
 endif()
\ No newline at end of file
diff --git a/utilities/rpp-performancetests/OCL_NEW/CMakeLists.txt b/utilities/rpp-performancetests/OCL_NEW/CMakeLists.txt
index d116dd845..cd5839aa5 100644
--- a/utilities/rpp-performancetests/OCL_NEW/CMakeLists.txt
+++ b/utilities/rpp-performancetests/OCL_NEW/CMakeLists.txt
@@ -39,11 +39,6 @@ endif()
 
 find_package(OpenCL QUIET)
 find_package(OpenCV QUIET)
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
@@ -65,7 +60,7 @@ if (OpenCL_FOUND AND OpenCV_FOUND)
     target_link_libraries(BatchPD_ocl_pkd3 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(BatchPD_ocl_pln1 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(BatchPD_ocl_pln3 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
-    # target_link_libraries(Single_ocl ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread boost_filesystem boost_system)
+    # target_link_libraries(Single_ocl ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread )
     target_link_libraries(uniqueFunctionalities_ocl ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
 else()
     message("-- ${Yellow}Error: OpenCV and OpenCL must be installed to install ${PROJECT_NAME} successfully!${ColourReset}")
diff --git a/utilities/rpp-unittests/HIP_NEW/CMakeLists.txt b/utilities/rpp-unittests/HIP_NEW/CMakeLists.txt
index b8d19a421..0fe9ca241 100644
--- a/utilities/rpp-unittests/HIP_NEW/CMakeLists.txt
+++ b/utilities/rpp-unittests/HIP_NEW/CMakeLists.txt
@@ -19,6 +19,8 @@
 # THE SOFTWARE.
 
 cmake_minimum_required(VERSION 3.5)
+set(CMAKE_CXX_COMPILER clang++)
+set(CMAKE_CXX_STANDARD 17)
 project(rpp_unittests/HIP_NEW)
 list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/../../../cmake)
 set(ROCM_PATH /opt/rocm CACHE PATH "default ROCm installation path")
@@ -41,11 +43,6 @@ endif()
 find_package(hip QUIET)
 find_package(OpenCV QUIET)
 
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
@@ -69,14 +66,14 @@ if (hip_FOUND AND OpenCV_FOUND)
     add_executable(Tensor_hip_pln1 Tensor_hip_pln1.cpp)
     # add_executable(Single_hip Single_hip.cpp)
     add_executable(uniqueFunctionalities_hip uniqueFunctionalities_hip.cpp)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DGPU_SUPPORT=1 -DRPP_BACKEND_HIP=1 -std=gnu++14")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DGPU_SUPPORT=1 -DRPP_BACKEND_HIP=1 -std=gnu++17")
     target_link_libraries(BatchPD_hip_pkd3 ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread ${LINK_LIBRARY_LIST} hip::device)
     target_link_libraries(BatchPD_hip_pln1 ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread ${LINK_LIBRARY_LIST} hip::device)
     target_link_libraries(BatchPD_hip_pln3 ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread ${LINK_LIBRARY_LIST} hip::device)
     target_link_libraries(Tensor_hip_pkd3 ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread ${LINK_LIBRARY_LIST} hip::device)
     target_link_libraries(Tensor_hip_pln1 ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread ${LINK_LIBRARY_LIST} hip::device)
     target_link_libraries(Tensor_hip_pln3 ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread ${LINK_LIBRARY_LIST} hip::device)
-    # target_link_libraries(Single_hip ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread boost_filesystem boost_system hip::device)
+    # target_link_libraries(Single_hip ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread hip::device)
     target_link_libraries(uniqueFunctionalities_hip ${OpenCV_LIBS} -lrpp ${hip_LIBRARIES} pthread ${LINK_LIBRARY_LIST} hip::device)
 else()
     message("-- ${Yellow}Error: OpenCV and hip must be installed to install ${PROJECT_NAME} successfully!${ColourReset}")
diff --git a/utilities/rpp-unittests/HOST_NEW/CMakeLists.txt b/utilities/rpp-unittests/HOST_NEW/CMakeLists.txt
index c0a7acec2..d2ccbdde2 100644
--- a/utilities/rpp-unittests/HOST_NEW/CMakeLists.txt
+++ b/utilities/rpp-unittests/HOST_NEW/CMakeLists.txt
@@ -19,6 +19,8 @@
 # THE SOFTWARE.
 
 cmake_minimum_required(VERSION 3.5)
+set(CMAKE_CXX_COMPILER clang++)
+set(CMAKE_CXX_STANDARD 17)
 project(rpp_unittests/HOST_NEW)
 
 set(ROCM_PATH /opt/rocm CACHE PATH "default ROCm installation path")
@@ -38,11 +40,6 @@ if(NOT WIN32)
 endif()
 
 find_package(OpenCV QUIET)
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
@@ -63,14 +60,14 @@ if (OpenCV_FOUND)
     add_executable(Tensor_host_pln1 Tensor_host_pln1.cpp)
     # add_executable(Single_host Single_host.cpp)
     add_executable(uniqueFunctionalities_host uniqueFunctionalities_host.cpp)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=gnu++14")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=gnu++17")
     target_link_libraries(BatchPD_host_pkd3 ${OpenCV_LIBS} -lrpp pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(BatchPD_host_pln1 ${OpenCV_LIBS} -lrpp pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(BatchPD_host_pln3 ${OpenCV_LIBS} -lrpp pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(Tensor_host_pkd3 ${OpenCV_LIBS} -lrpp pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(Tensor_host_pln3 ${OpenCV_LIBS} -lrpp pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(Tensor_host_pln1 ${OpenCV_LIBS} -lrpp pthread ${LINK_LIBRARY_LIST})
-    # target_link_libraries(Single_host ${OpenCV_LIBS} -lrpp pthread boost_filesystem boost_system )
+    # target_link_libraries(Single_host ${OpenCV_LIBS} -lrpp pthread )
     target_link_libraries(uniqueFunctionalities_host ${OpenCV_LIBS} -lrpp pthread ${LINK_LIBRARY_LIST})
 else()
     message("-- ${Yellow}Error: OpenCV must be installed to install ${PROJECT_NAME} successfully!${ColourReset}")
diff --git a/utilities/rpp-unittests/OCL_NEW/CMakeLists.txt b/utilities/rpp-unittests/OCL_NEW/CMakeLists.txt
index de1c53711..c679faafc 100644
--- a/utilities/rpp-unittests/OCL_NEW/CMakeLists.txt
+++ b/utilities/rpp-unittests/OCL_NEW/CMakeLists.txt
@@ -19,6 +19,7 @@
 # THE SOFTWARE.
 
 cmake_minimum_required(VERSION 3.5)
+set(CMAKE_CXX_STANDARD 17)
 project(rpp_unittests/OCL_NEW)
 list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/../../../cmake)
 set(ROCM_PATH /opt/rocm CACHE PATH "default ROCm installation path")
@@ -40,11 +41,6 @@ endif()
 find_package(OpenCL QUIET)
 find_package(OpenCV QUIET)
 
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
@@ -62,11 +58,11 @@ if (OpenCL_FOUND AND OpenCV_FOUND)
     add_executable(BatchPD_ocl_pln3 BatchPD_ocl_pln3.cpp)
     # add_executable(Single_ocl Single_ocl.cpp)
     add_executable(uniqueFunctionalities_ocl uniqueFunctionalities_ocl.cpp)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DGPU_SUPPORT=1 -DRPP_BACKEND_OPENCL=1 -std=gnu++14")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DGPU_SUPPORT=1 -DRPP_BACKEND_OPENCL=1 -std=gnu++17")
     target_link_libraries(BatchPD_ocl_pkd3 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(BatchPD_ocl_pln1 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
     target_link_libraries(BatchPD_ocl_pln3 ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
-    # target_link_libraries(Single_ocl ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread boost_filesystem boost_system)
+    # target_link_libraries(Single_ocl ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread )
     target_link_libraries(uniqueFunctionalities_ocl ${OpenCV_LIBS} -lrpp ${OpenCL_LIBRARIES} pthread ${LINK_LIBRARY_LIST})
 else()
     message("-- ${Yellow}Error: OpenCV and OpenCL must be installed to install ${PROJECT_NAME} successfully!${ColourReset}")
diff --git a/utilities/test_suite/CMakeLists.txt b/utilities/test_suite/CMakeLists.txt
new file mode 100644
index 000000000..703fa0015
--- /dev/null
+++ b/utilities/test_suite/CMakeLists.txt
@@ -0,0 +1,78 @@
+################################################################################
+#
+# MIT License
+#
+# Copyright (c) 2023 Advanced Micro Devices, Inc.
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+#
+################################################################################
+
+cmake_minimum_required (VERSION 3.5)
+project(test_suite)
+set(Python3_FIND_VIRTUALENV FIRST)
+find_package(Python3 QUIET)
+
+if(Python3_FOUND)
+
+    # Running all HOST tests
+    add_test(
+        NAME rpp_qa_tests_tensor_host_all
+        COMMAND ${Python3_EXECUTABLE} ${CMAKE_SOURCE_DIR}/utilities/test_suite/HOST/runTests.py --qa_mode 1 --batch_size 3
+        WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
+    )
+    add_test(
+        NAME rpp_qa_tests_tensor_audio_host_all
+        COMMAND ${Python3_EXECUTABLE} ${CMAKE_SOURCE_DIR}/utilities/test_suite/HOST/runAudioTests.py --qa_mode 1 --batch_size 3
+        WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
+    )
+
+    # Running case by case - one sample for brightness (in tensor_host) and one sample for non_silent_region (in tensor_audio_host)
+    add_test(
+        NAME rpp_qa_tests_tensor_host_brightness
+        COMMAND ${Python3_EXECUTABLE} ${CMAKE_SOURCE_DIR}/utilities/test_suite/HOST/runTests.py --qa_mode 1 --batch_size 3 --case_list 0
+        WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
+    )
+    add_test(
+        NAME rpp_qa_tests_tensor_audio_host_non_silent_region
+        COMMAND ${Python3_EXECUTABLE} ${CMAKE_SOURCE_DIR}/utilities/test_suite/HOST/runAudioTests.py --case_list 0 --qa_mode 1 --batch_size 3
+        WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
+    )
+
+    if( "${BACKEND}" STREQUAL "HIP")
+        # Running all HIP tests
+        add_test(
+            NAME rpp_qa_tests_tensor_hip_all
+            COMMAND ${Python3_EXECUTABLE} ${CMAKE_SOURCE_DIR}/utilities/test_suite/HIP/runTests.py --qa_mode 1 --batch_size 3
+            WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
+        )
+
+        # Running case by case - one sample for brightness (in tensor_hip)
+        add_test(
+            NAME rpp_qa_tests_tensor_hip_brightness
+            COMMAND ${Python3_EXECUTABLE} ${CMAKE_SOURCE_DIR}/utilities/test_suite/HIP/runTests.py --qa_mode 1 --batch_size 3 --case_list 0
+            WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
+        )
+    elseif( "${BACKEND}" STREQUAL "OCL")
+        # TBD: Add OCL Tests
+    endif()
+
+else()
+  message("-- ${Yellow}Test Warning: Python3 must be installed to run RPP test_suite successfully!${ColourReset}")
+endif(Python3_FOUND)
\ No newline at end of file
diff --git a/utilities/test_suite/HIP/CMakeLists.txt b/utilities/test_suite/HIP/CMakeLists.txt
index 8f32a66ca..ccfb7f2ee 100644
--- a/utilities/test_suite/HIP/CMakeLists.txt
+++ b/utilities/test_suite/HIP/CMakeLists.txt
@@ -19,6 +19,8 @@
 # THE SOFTWARE.
 
 cmake_minimum_required(VERSION 3.5)
+set(CMAKE_CXX_COMPILER clang++)
+set(CMAKE_CXX_STANDARD 17)
 project(test_suite/HIP)
 list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/../../../cmake)
 set(ROCM_PATH /opt/rocm CACHE PATH "default ROCm installation path")
@@ -42,11 +44,6 @@ find_package(hip QUIET)
 find_package(OpenCV QUIET)
 find_package(TurboJpeg QUIET)
 
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
@@ -71,7 +68,7 @@ if (hip_FOUND AND OpenCV_FOUND)
     link_directories(${ROCM_PATH}/lib /usr/local/lib)
 
     add_executable(Tensor_hip Tensor_hip.cpp)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DGPU_SUPPORT=1 -DRPP_BACKEND_HIP=1 -std=gnu++14")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DGPU_SUPPORT=1 -DRPP_BACKEND_HIP=1 -std=gnu++17")
     target_link_libraries(Tensor_hip ${OpenCV_LIBS} -lturbojpeg -lrpp ${hip_LIBRARIES} pthread ${LINK_LIBRARY_LIST} hip::device)
 else()
     message("-- ${Yellow}Error: OpenCV and hip must be installed to install ${PROJECT_NAME} successfully!${ColourReset}")
diff --git a/utilities/test_suite/HIP/Tensor_hip.cpp b/utilities/test_suite/HIP/Tensor_hip.cpp
index edc36ae82..b862f691e 100644
--- a/utilities/test_suite/HIP/Tensor_hip.cpp
+++ b/utilities/test_suite/HIP/Tensor_hip.cpp
@@ -37,6 +37,14 @@ THE SOFTWARE.
 #include <hip/hip_fp16.h>
 #include <fstream>
 
+#define CHECK(x) do { \
+  int retval = (x); \
+  if (retval != 0) { \
+    fprintf(stderr, "Runtime error: %s returned %d at %s:%d", #x, retval, __FILE__, __LINE__); \
+    exit(-1); \
+  } \
+} while (0)
+
 typedef half Rpp16f;
 
 using namespace cv;
@@ -237,12 +245,12 @@ int main(int argc, char **argv)
 
     // Initialize ROI tensors for src/dst
     RpptROI *roiTensorPtrSrc, *roiTensorPtrDst;
-    hipHostMalloc(&roiTensorPtrSrc, batchSize * sizeof(RpptROI));
-    hipHostMalloc(&roiTensorPtrDst, batchSize * sizeof(RpptROI));
+    CHECK(hipHostMalloc(&roiTensorPtrSrc, batchSize * sizeof(RpptROI)));
+    CHECK(hipHostMalloc(&roiTensorPtrDst, batchSize * sizeof(RpptROI)));
 
     // Initialize the ImagePatch for dst
     RpptImagePatch *dstImgSizes;
-    hipHostMalloc(&dstImgSizes, batchSize * sizeof(RpptImagePatch));
+    CHECK(hipHostMalloc(&dstImgSizes, batchSize * sizeof(RpptImagePatch)));
 
     // Set ROI tensors types for src/dst
     RpptRoiType roiTypeSrc, roiTypeDst;
@@ -254,8 +262,9 @@ int main(int argc, char **argv)
         outputChannels = 1;
     Rpp32u srcOffsetInBytes = (kernelSizeCase) ? (12 * (additionalParam / 2)) : 0;
     Rpp32u dstOffsetInBytes = 0;
+    int imagesMixed = 0; // Flag used to check if all images in dataset is of same dimensions
 
-    set_max_dimensions(imageNamesPath, maxHeight, maxWidth);
+    set_max_dimensions(imageNamesPath, maxHeight, maxWidth, imagesMixed);
 
     // Set numDims, offset, n/c/h/w values, strides for src/dst
     set_descriptor_dims_and_strides(srcDescPtr, batchSize, maxHeight, maxWidth, inputChannels, srcOffsetInBytes);
@@ -296,7 +305,7 @@ int main(int argc, char **argv)
     // Run case-wise RPP API and measure time
     rppHandle_t handle;
     hipStream_t stream;
-    hipStreamCreate(&stream);
+    CHECK(hipStreamCreate(&stream));
     rppCreateWithStreamAndBatchSize(&handle, stream, batchSize);
 
     int noOfIterations = (int)imageNames.size() / batchSize;
@@ -304,6 +313,18 @@ int main(int argc, char **argv)
     double wallTime;
     string testCaseName;
 
+    if(testCase == 82 && imagesMixed)
+    {
+        std::cerr<<"\n RICAP only works with same dimension images";
+        exit(0);
+    }
+
+    if(testCase == 82 && batchSize < 2)
+    {
+        std::cerr<<"\n RICAP only works with BatchSize > 1";
+        exit(0);
+    }
+  
     // Initialize buffers for any reductionType functions
     void *reductionFuncResultArr;
     Rpp32u reductionFuncResultArrLength = srcDescPtr->n * 4;
@@ -311,20 +332,24 @@ int main(int argc, char **argv)
     if(reductionTypeCase)
     {
         if(dstDescPtr->dataType == RpptDataType::U8)
-            hipHostMalloc(&reductionFuncResultArr, reductionFuncResultArrLength * sizeof(Rpp64u));
+            CHECK(hipHostMalloc(&reductionFuncResultArr, reductionFuncResultArrLength * sizeof(Rpp64u)));
         else if(dstDescPtr->dataType == RpptDataType::F16)
-            hipHostMalloc(&reductionFuncResultArr, reductionFuncResultArrLength * sizeof(Rpp32f));
+            CHECK(hipHostMalloc(&reductionFuncResultArr, reductionFuncResultArrLength * sizeof(Rpp32f)));
         else if(dstDescPtr->dataType == RpptDataType::F32)
-            hipHostMalloc(&reductionFuncResultArr, reductionFuncResultArrLength * sizeof(Rpp32f));
+            CHECK(hipHostMalloc(&reductionFuncResultArr, reductionFuncResultArrLength * sizeof(Rpp32f)));
         else if(dstDescPtr->dataType == RpptDataType::I8)
-            hipHostMalloc(&reductionFuncResultArr, reductionFuncResultArrLength * sizeof(Rpp64s));
+            CHECK(hipHostMalloc(&reductionFuncResultArr, reductionFuncResultArrLength * sizeof(Rpp64s)));
     }
 
     //Allocate hip memory for src/dst
-    hipMalloc(&d_input, inputBufferSize);
-    hipMalloc(&d_output, outputBufferSize);
+    CHECK(hipMalloc(&d_input, inputBufferSize));
+    CHECK(hipMalloc(&d_output, outputBufferSize));
     if(dualInputCase)
-        hipMalloc(&d_input_second, inputBufferSize);
+        CHECK(hipMalloc(&d_input_second, inputBufferSize));
+
+    RpptROI *roiPtrInputCropRegion;
+    if(testCase == 82)
+        CHECK(hipHostMalloc(&roiPtrInputCropRegion, 4 * sizeof(RpptROI)));
 
     // case-wise RPP API and measure time script for Unit and Performance test
     printf("\nRunning %s %d times (each time with a batch size of %d images) and computing mean statistics...", func.c_str(), numRuns, batchSize);
@@ -366,10 +391,10 @@ int main(int argc, char **argv)
             convert_input_bitdepth(input, input_second, inputu8, inputu8Second, inputBitDepth, ioBufferSize, inputBufferSize, srcDescPtr, dualInputCase, conversionFactor);
 
             //copy decoded inputs to hip buffers
-            hipMemcpy(d_input, input, inputBufferSize, hipMemcpyHostToDevice);
-            hipMemcpy(d_output, output, outputBufferSize, hipMemcpyHostToDevice);
+            CHECK(hipMemcpy(d_input, input, inputBufferSize, hipMemcpyHostToDevice));
+            CHECK(hipMemcpy(d_output, output, outputBufferSize, hipMemcpyHostToDevice));
             if(dualInputCase)
-                hipMemcpy(d_input_second, input_second, inputBufferSize, hipMemcpyHostToDevice);
+                CHECK(hipMemcpy(d_input_second, input_second, inputBufferSize, hipMemcpyHostToDevice));
 
             // Uncomment to run test case with an xywhROI override
             // roi.xywhROI = {0, 0, 25, 25};
@@ -473,6 +498,35 @@ int main(int argc, char **argv)
 
                 break;
             }
+            case 29:
+            {
+                testCaseName = "water";
+
+                Rpp32f amplX[batchSize];
+                Rpp32f amplY[batchSize];
+                Rpp32f freqX[batchSize];
+                Rpp32f freqY[batchSize];
+                Rpp32f phaseX[batchSize];
+                Rpp32f phaseY[batchSize];
+
+                for (i = 0; i < batchSize; i++)
+                {
+                    amplX[i] = 2.0f;
+                    amplY[i] = 5.0f;
+                    freqX[i] = 5.8f;
+                    freqY[i] = 1.2f;
+                    phaseX[i] = 10.0f;
+                    phaseY[i] = 15.0f;
+                }
+
+                startWallTime = omp_get_wtime();
+                if (inputBitDepth == 0 || inputBitDepth == 1 || inputBitDepth == 2 || inputBitDepth == 5)
+                    rppt_water_gpu(d_input, srcDescPtr, d_output, dstDescPtr, amplX, amplY, freqX, freqY, phaseX, phaseY, roiTensorPtrSrc, roiTypeSrc, handle);
+                else
+                    missingFuncFlag = 1;
+
+                break;
+            }
             case 31:
             {
                 testCaseName = "color_cast";
@@ -501,8 +555,8 @@ int main(int argc, char **argv)
                 testCaseName = "lut";
 
                 Rpp32f *lutBuffer;
-                hipHostMalloc(&lutBuffer, 65536 * sizeof(Rpp32f));
-                hipMemset(lutBuffer, 0, 65536 * sizeof(Rpp32f));
+                CHECK(hipHostMalloc(&lutBuffer, 65536 * sizeof(Rpp32f)));
+                CHECK(hipMemset(lutBuffer, 0, 65536 * sizeof(Rpp32f)));
                 Rpp8u *lut8u = reinterpret_cast<Rpp8u *>(lutBuffer);
                 Rpp16f *lut16f = reinterpret_cast<Rpp16f *>(lutBuffer);
                 Rpp32f *lut32f = reinterpret_cast<Rpp32f *>(lutBuffer);
@@ -534,7 +588,7 @@ int main(int argc, char **argv)
 
                 break;
 
-                hipHostFree(lutBuffer);
+                CHECK(hipHostFree(lutBuffer));
             }
             case 36:
             {
@@ -667,6 +721,30 @@ int main(int argc, char **argv)
 
                 break;
             }
+            case 82:
+            {
+                testCaseName = "ricap";
+
+                Rpp32u permutationTensor[batchSize * 4];
+
+                if(imagesMixed)
+                {
+                    std::cerr<<"\n RICAP only works with same dimension images";
+                    break;
+                }
+
+                if(qaFlag)
+                    init_ricap_qa(maxWidth, maxHeight, batchSize, permutationTensor, roiPtrInputCropRegion);
+                else
+                    init_ricap(maxWidth, maxHeight, batchSize, permutationTensor, roiPtrInputCropRegion);
+
+                startWallTime = omp_get_wtime();
+                if (inputBitDepth == 0 || inputBitDepth == 1 || inputBitDepth == 2 || inputBitDepth == 5)
+                    rppt_ricap_gpu(d_input, srcDescPtr, d_output, dstDescPtr, permutationTensor, roiPtrInputCropRegion, roiTypeSrc, handle);
+                else
+                    missingFuncFlag = 1;
+                break;
+            }
             case 84:
             {
                 testCaseName = "spatter";
@@ -717,7 +795,7 @@ int main(int argc, char **argv)
                 break;
             }
 
-            hipDeviceSynchronize();
+            CHECK(hipDeviceSynchronize());
             endWallTime = omp_get_wtime();
             wallTime = endWallTime - startWallTime;
             if (missingFuncFlag == 1)
@@ -733,6 +811,7 @@ int main(int argc, char **argv)
             if (testType == 0)
             {
                 cout << "\n\nGPU Backend Wall Time: " << wallTime <<" ms/batch"<< endl;
+                
                 // Display results for reduction functions
                 if (reductionTypeCase)
                 {
@@ -777,7 +856,7 @@ int main(int argc, char **argv)
                 }
                 else
                 {
-                    hipMemcpy(output, d_output, outputBufferSize, hipMemcpyDeviceToHost);
+                    CHECK(hipMemcpy(output, d_output, outputBufferSize, hipMemcpyDeviceToHost));
 
                     // Reconvert other bit depths to 8u for output display purposes
                     convert_output_bitdepth_to_u8(output, outputu8, inputBitDepth, oBufferSize, outputBufferSize, dstDescPtr, invConversionFactor);
@@ -840,19 +919,22 @@ int main(int argc, char **argv)
     }
 
     // Free memory
-    hipHostFree(roiTensorPtrSrc);
-    hipHostFree(roiTensorPtrDst);
-    hipHostFree(dstImgSizes);
+    CHECK(hipHostFree(roiTensorPtrSrc));
+    CHECK(hipHostFree(roiTensorPtrDst));
+    CHECK(hipHostFree(dstImgSizes));
+    if(testCase == 82)
+        CHECK(hipHostFree(roiPtrInputCropRegion));
     if (reductionTypeCase)
-        hipHostFree(&reductionFuncResultArr);
+        CHECK(hipHostFree(reductionFuncResultArr));
     free(input);
     free(input_second);
     free(output);
     free(inputu8);
     free(inputu8Second);
     free(outputu8);
-    hipFree(d_input);
-    hipFree(d_input_second);
-    hipFree(d_output);
+    CHECK(hipFree(d_input));
+    if(dualInputCase)
+        CHECK(hipFree(d_input_second));
+    CHECK(hipFree(d_output));
     return 0;
 }
\ No newline at end of file
diff --git a/utilities/test_suite/HIP/runTests.py b/utilities/test_suite/HIP/runTests.py
index 7f861d258..b6cde95d7 100644
--- a/utilities/test_suite/HIP/runTests.py
+++ b/utilities/test_suite/HIP/runTests.py
@@ -30,10 +30,10 @@
 # Set the value of an environment variable
 os.environ["TIMESTAMP"] = timestamp
 
-cwd = os.getcwd()
-inFilePath1 = os.path.join(os.path.dirname(cwd), 'TEST_IMAGES', 'three_images_mixed_src1')
-inFilePath2 = os.path.join(os.path.dirname(cwd), 'TEST_IMAGES', 'three_images_mixed_src2')
-qaInputFile = os.path.join(os.path.dirname(cwd), 'TEST_IMAGES', 'three_images_mixed_src1')
+scriptPath = os.path.dirname(os.path.realpath(__file__))
+inFilePath1 = scriptPath + "/../TEST_IMAGES/three_images_mixed_src1"
+inFilePath2 = scriptPath + "/../TEST_IMAGES/three_images_mixed_src2"
+qaInputFile = scriptPath + "/../TEST_IMAGES/three_images_mixed_src1"
 
 def case_file_check(CASE_FILE_PATH):
     try:
@@ -69,16 +69,16 @@ def create_layout_directories(dst_path, layout_dict):
 
 def get_log_file_list(preserveOutput):
     return [
-        "../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp + "/Tensor_hip_pkd3_raw_performance_log.txt",
-        "../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp + "/Tensor_hip_pln3_raw_performance_log.txt",
-        "../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp + "/Tensor_hip_pln1_raw_performance_log.txt"
+        scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp + "/Tensor_hip_pkd3_raw_performance_log.txt",
+        scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp + "/Tensor_hip_pln3_raw_performance_log.txt",
+        scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp + "/Tensor_hip_pln1_raw_performance_log.txt"
     ]
 
 # Functionality group finder
 def func_group_finder(case_number):
     if case_number < 5 or case_number == 13 or case_number == 36:
         return "color_augmentations"
-    elif case_number == 8 or case_number == 30 or case_number == 83 or case_number == 84:
+    elif case_number == 8 or case_number == 30 or case_number == 82 or case_number == 83 or case_number == 84:
         return "effects_augmentations"
     elif case_number < 40:
         return "geometric_augmentations"
@@ -201,18 +201,18 @@ def rpp_test_suite_parser_and_validator():
 
 if(testType == 0):
     if qaMode:
-        outFilePath = os.path.join(os.path.dirname(cwd), 'QA_RESULTS_HIP_' + timestamp)
+        outFilePath = scriptPath + "/../QA_RESULTS_HIP_" + timestamp
     else:
-        outFilePath = os.path.join(os.path.dirname(cwd), 'OUTPUT_IMAGES_HIP_' + timestamp)
+        outFilePath = scriptPath + "/../OUTPUT_IMAGES_HIP_" + timestamp
     numRuns = 1
 elif(testType == 1):
     if numRuns == 0:
         numRuns = 100 #default numRuns for running performance tests
-    outFilePath = os.path.join(os.path.dirname(cwd), 'OUTPUT_PERFORMANCE_LOGS_HIP_' + timestamp)
+    outFilePath = scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp
 dstPath = outFilePath
 
 if(testType == 0):
-    subprocess.call(["./testAllScript.sh", srcPath1, srcPath2, str(testType), str(numRuns), "0", str(qaMode), str(decoderType), str(preserveOutput), str(batchSize), " ".join(caseList)])  # nosec
+    subprocess.call([scriptPath + "/testAllScript.sh", srcPath1, srcPath2, str(testType), str(numRuns), "0", str(qaMode), str(decoderType), str(preserveOutput), str(batchSize), " ".join(caseList)])  # nosec
 
     layoutDict = {0:"PKD3", 1:"PLN3", 2:"PLN1"}
     if qaMode == 0:
@@ -230,7 +230,7 @@ def rpp_test_suite_parser_and_validator():
     ]
 
     if (testType == 1 and profilingOption == "NO"):
-        subprocess.call(["./testAllScript.sh", srcPath1, srcPath2, str(testType), str(numRuns), "0", str(qaMode), str(decoderType), str(preserveOutput), str(batchSize), " ".join(caseList)])  # nosec
+        subprocess.call([scriptPath + "/testAllScript.sh", srcPath1, srcPath2, str(testType), str(numRuns), "0", str(qaMode), str(decoderType), str(preserveOutput), str(batchSize), " ".join(caseList)])  # nosec
         for log_file in log_file_list:
             # Opening log file
             try:
@@ -293,11 +293,10 @@ def rpp_test_suite_parser_and_validator():
             # Closing log file
             f.close()
     elif (testType == 1 and profilingOption == "YES"):
-        subprocess.call(["./testAllScript.sh", srcPath1, srcPath2, str(testType), str(numRuns), "1", str(qaMode), str(decoderType), str(preserveOutput), str(batchSize), " ".join(caseList)])  # nosec
+        subprocess.call([scriptPath + "/testAllScript.sh", srcPath1, srcPath2, str(testType), str(numRuns), "1", str(qaMode), str(decoderType), str(preserveOutput), str(batchSize), " ".join(caseList)])  # nosec
         NEW_FUNC_GROUP_LIST = [0, 15, 20, 29, 36, 40, 42, 49, 54, 56, 65, 69]
 
-        RESULTS_DIR = ""
-        RESULTS_DIR = "../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp
+        RESULTS_DIR = scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HIP_" + timestamp
         print("RESULTS_DIR = " + RESULTS_DIR)
         CONSOLIDATED_FILE_TENSOR_PKD3 = RESULTS_DIR + "/consolidated_results_Tensor_PKD3.stats.csv"
         CONSOLIDATED_FILE_TENSOR_PLN1 = RESULTS_DIR + "/consolidated_results_Tensor_PLN1.stats.csv"
@@ -388,23 +387,29 @@ def rpp_test_suite_parser_and_validator():
             print("Unable to open results in " + RESULTS_DIR + "/consolidated_results_" + TYPE + ".stats.csv")
 
 # print the results of qa tests
-supportedCaseList = ['0', '1', '2', '4', '13', '31', '34', '36', '37', '38', '54', '84', '87']
+supportedCaseList = ['0', '1', '2', '4', '13', '29', '31', '34', '36', '37', '38', '54', '82', '84', '87']
 nonQACaseList = ['54', '84']
-supportedCases = 0
-for num in caseList:
-    if qaMode == 1 and num not in nonQACaseList:
-        supportedCases += 1
-    elif qaMode == 0 and num in supportedCaseList:
-        supportedCases += 1
-caseInfo = "Tests are run for " + str(supportedCases) + " supported cases out of the " + str(len(caseList)) + " cases requested"
+
 if qaMode and testType == 0:
     qaFilePath = os.path.join(outFilePath, "QA_results.txt")
     checkFile = os.path.isfile(qaFilePath)
     if checkFile:
         f = open(qaFilePath, 'r+')
         print("---------------------------------- Results of QA Test ----------------------------------\n")
+        numLines = 0
+        numPassed = 0
         for line in f:
             sys.stdout.write(line)
+            numLines += 1
+            if "PASSED" in line:
+                numPassed += 1
             sys.stdout.flush()
-        f.write(caseInfo)
-print("\n-------------- " + caseInfo + " --------------")
\ No newline at end of file
+        resultsInfo = "\n\nFinal Results of Tests:"
+        resultsInfo += "\n    - Total test cases including all subvariants REQUESTED = " + str(numLines)
+        resultsInfo += "\n    - Total test cases including all subvariants PASSED = " + str(numPassed)
+        resultsInfo += "\n\nGeneral information on Tensor test suite availability:"
+        resultsInfo += "\n    - Total augmentations supported in Tensor test suite = " + str(len(supportedCaseList))
+        resultsInfo += "\n    - Total augmentations with golden output QA test support = " + str(len(supportedCaseList) - len(nonQACaseList))
+        resultsInfo += "\n    - Total augmentations without golden ouput QA test support (due to randomization involved) = " + str(len(nonQACaseList))
+        f.write(resultsInfo)
+    print("\n-------------------------------------------------------------------" + resultsInfo + "\n\n-------------------------------------------------------------------")
\ No newline at end of file
diff --git a/utilities/test_suite/HIP/testAllScript.sh b/utilities/test_suite/HIP/testAllScript.sh
index c6e66c3c8..c84fe7840 100755
--- a/utilities/test_suite/HIP/testAllScript.sh
+++ b/utilities/test_suite/HIP/testAllScript.sh
@@ -1,5 +1,11 @@
 #!/bin/bash
 
+echo "testAllScript info:"
+echo "basename: [$(basename "$0")]"
+echo "dirname : [$(dirname "$0")]"
+echo "pwd     : [$(pwd)]"
+
+cd $(dirname "$0")
 cwd=$(pwd)
 
 # <<<<<<<<<<<<<< VALIDATION CHECK FOR FOLDER PATHS >>>>>>>>>>>>>>>>>>>>>>>>>>>>
@@ -44,6 +50,9 @@ function VALIDATE_FOLDERS {
 DEFAULT_SRC_FOLDER_1="$cwd/../TEST_IMAGES/three_images_mixed_src1"
 DEFAULT_SRC_FOLDER_2="$cwd/../TEST_IMAGES/three_images_mixed_src2"
 
+#Input Images - Three images (same size) - for RICAP input images should be of same size
+RICAP_SRC_FOLDER="$cwd/../TEST_IMAGES/three_images_150x150_src1"
+
 # <<<<<<<<<<<<<< PROCESSING OF INPUT ARGUMENTS (NEED NOT CHANGE) >>>>>>>>>>>>>>
 
 CASE_MIN=0
@@ -160,7 +169,7 @@ directory_name_generator() {
         if [ "$case" -lt 5 ] || [ "$case" -eq 13 ] || [ "$case" -eq 31 ] || [ "$case" -eq 34 ] || [ "$case" -eq 36 ]
         then
             FUNCTIONALITY_GROUP="color_augmentations"
-        elif [ "$case" -eq 8 ] || [ "$case" -eq 30 ] || [ "$case" -eq 83 ] || [ "$case" -eq 84 ]
+        elif [ "$case" -eq 8 ] || [ "$case" -eq 30 ] || [ "$case" -eq 82 ] || [ "$case" -eq 83 ] || [ "$case" -eq 84 ]
         then
             FUNCTIONALITY_GROUP="effects_augmentations"
         elif [ "$case" -lt 40 ]
@@ -191,7 +200,7 @@ directory_name_generator() {
 VALIDATE_PATH "$DST_FOLDER"
 
 shopt -s extglob
-mkdir build
+mkdir -p build
 rm -rvf build/*
 cd build
 cmake ..
@@ -211,11 +220,13 @@ echo "##########################################################################
 if [ "$TEST_TYPE" -eq 0 ]; then
     for case in ${CASE_LIST[@]};
     do
+        endBitDepth=7
         if [ "$QA_MODE" -eq 1 ]; then
             if [ "$case" -eq "49" ] || [ "$case" -eq "54" ] || [ "$case" -eq " 84" ]; then
                 echo "QA tests are not supported for case number $case, since it generates random output"
                 continue
             fi
+            endBitDepth=1
         fi
         if [ "$case" -lt "0" ] || [ "$case" -gt " 87" ]; then
             echo "Invalid case number $case. case number must be in the 0:87 range!"
@@ -245,13 +256,18 @@ if [ "$TEST_TYPE" -eq 0 ]; then
             echo "--------------------------------"
             printf "Running a New Functionality...\n"
             echo "--------------------------------"
-            for ((bitDepth=0;bitDepth<7;bitDepth++))
+            for ((bitDepth=0;bitDepth<$endBitDepth;bitDepth++))
             do
                 printf "\n\n\nRunning New Bit Depth...\n-------------------------\n\n"
                 for ((outputFormatToggle=0;outputFormatToggle<2;outputFormatToggle++))
                 do
-                    SRC_FOLDER_1_TEMP="$SRC_FOLDER_1"
-                    SRC_FOLDER_2_TEMP="$SRC_FOLDER_2"
+                    if [[ $case -eq 82 ]]; then
+                        SRC_FOLDER_1_TEMP="$RICAP_SRC_FOLDER"
+                        SRC_FOLDER_2_TEMP="$RICAP_SRC_FOLDER"
+                    else
+                        SRC_FOLDER_1_TEMP="$SRC_FOLDER_1"
+                        SRC_FOLDER_2_TEMP="$SRC_FOLDER_2"
+                    fi
 
                     # There is no layout toggle for PLN1 case, so skip this case
                     if [[ $layout -eq 2 ]] && [[ $outputFormatToggle -eq 1 ]]; then
diff --git a/utilities/test_suite/HOST/CMakeLists.txt b/utilities/test_suite/HOST/CMakeLists.txt
index b06835f80..8440aee01 100644
--- a/utilities/test_suite/HOST/CMakeLists.txt
+++ b/utilities/test_suite/HOST/CMakeLists.txt
@@ -25,6 +25,8 @@
 ################################################################################
 
 cmake_minimum_required(VERSION 3.5)
+set(CMAKE_CXX_COMPILER clang++)
+set(CMAKE_CXX_STANDARD 17)
 project(test_suite/HOST)
 list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/../../../cmake)
 set(ROCM_PATH /opt/rocm CACHE PATH "default ROCm installation path")
@@ -45,11 +47,6 @@ endif()
 
 find_package(OpenCV QUIET)
 find_package(TurboJpeg QUIET)
-# BOOST
-set(BOOST_COMPONENTS filesystem system)
-find_package(Boost COMPONENTS ${BOOST_COMPONENTS} REQUIRED)
-include_directories(${Boost_INCLUDE_DIRS})
-set(LINK_LIBRARY_LIST ${LINK_LIBRARY_LIST} ${Boost_FILESYSTEM_LIBRARY} ${Boost_SYSTEM_LIBRARY})
 # OpenMP
 find_package(OpenMP REQUIRED)
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS} -ggdb -O0")
@@ -71,10 +68,8 @@ if (OpenCV_FOUND)
     link_directories(${ROCM_PATH}/lib /usr/local/lib)
 
     add_executable(Tensor_host Tensor_host.cpp)
-
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=gnu++14")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=gnu++17")
     target_link_libraries(Tensor_host ${OpenCV_LIBS} -lturbojpeg -lrpp pthread ${LINK_LIBRARY_LIST})
-
 else()
     message("-- ${Yellow}Error: OpenCV must be installed to install ${PROJECT_NAME} successfully!${ColourReset}")
 endif()
@@ -94,6 +89,6 @@ else()
     link_directories(${SndFile_LIBRARIES_DIR} /usr/local/lib/)
 
     add_executable(Tensor_host_audio Tensor_host_audio.cpp)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=gnu++14")
-    target_link_libraries(Tensor_host_audio ${libsnd_LIBS} -lsndfile -lrpp pthread ${LINK_LIBRARY_LIST} ${OpenCV_LIBS})
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=gnu++17")
+    target_link_libraries(Tensor_host_audio ${libsnd_LIBS} -lsndfile -lrpp -lstdc++fs pthread ${LINK_LIBRARY_LIST})
 endif()
diff --git a/utilities/test_suite/HOST/Tensor_host.cpp b/utilities/test_suite/HOST/Tensor_host.cpp
index 3c42a2bac..4de5d8c04 100644
--- a/utilities/test_suite/HOST/Tensor_host.cpp
+++ b/utilities/test_suite/HOST/Tensor_host.cpp
@@ -244,8 +244,9 @@ int main(int argc, char **argv)
     if(pln1OutTypeCase)
         outputChannels = 1;
     Rpp32u offsetInBytes = 0;
+    int imagesMixed = 0; // Flag used to check if all images in dataset is of same dimensions
 
-    set_max_dimensions(imageNamesPath, maxHeight, maxWidth);
+    set_max_dimensions(imageNamesPath, maxHeight, maxWidth, imagesMixed);
 
     // Set numDims, offset, n/c/h/w values, strides for src/dst
     set_descriptor_dims_and_strides(srcDescPtr, batchSize, maxHeight, maxWidth, inputChannels, offsetInBytes);
@@ -294,6 +295,18 @@ int main(int argc, char **argv)
     double cpuTime, wallTime;
     string testCaseName;
 
+    if(testCase == 82 && imagesMixed)
+    {
+        std::cerr<<"\n RICAP only works with same dimension images";
+        exit(0);
+    }
+
+    if(testCase == 82 && batchSize < 2)
+    {
+        std::cerr<<"\n RICAP only works with BatchSize > 1";
+        exit(0);
+    }
+
     // Initialize buffers for any reductionType functions
     void *reductionFuncResultArr;
     Rpp32u reductionFuncResultArrLength = srcDescPtr->n * 4;
@@ -454,6 +467,35 @@ int main(int argc, char **argv)
 
                     break;
                 }
+                case 29:
+                {
+                    testCaseName = "water";
+
+                    Rpp32f amplX[batchSize];
+                    Rpp32f amplY[batchSize];
+                    Rpp32f freqX[batchSize];
+                    Rpp32f freqY[batchSize];
+                    Rpp32f phaseX[batchSize];
+                    Rpp32f phaseY[batchSize];
+
+                    for (i = 0; i < batchSize; i++)
+                    {
+                        amplX[i] = 2.0f;
+                        amplY[i] = 5.0f;
+                        freqX[i] = 5.8f;
+                        freqY[i] = 1.2f;
+                        phaseX[i] = 10.0f;
+                        phaseY[i] = 15.0f;
+                    }
+
+                    startWallTime = omp_get_wtime();
+                    if (inputBitDepth == 0 || inputBitDepth == 1 || inputBitDepth == 2 || inputBitDepth == 5)
+                        rppt_water_host(input, srcDescPtr, output, dstDescPtr, amplX, amplY, freqX, freqY, phaseX, phaseY, roiTensorPtrSrc, roiTypeSrc, handle);
+                    else
+                        missingFuncFlag = 1;
+
+                    break;
+                }
                 case 31:
                 {
                     testCaseName = "color_cast";
@@ -618,6 +660,33 @@ int main(int argc, char **argv)
 
                     break;
                 }
+                case 82:
+                {
+                    testCaseName = "ricap";
+
+                    Rpp32u permutationTensor[batchSize * 4];
+                    RpptROI roiPtrInputCropRegion[4];
+
+                    if(imagesMixed)
+                    {
+                        std::cerr<<"\n RICAP only works with same dimension images";
+                        break;
+                    }
+
+                    if(qaFlag)
+                        init_ricap_qa(maxWidth, maxHeight, batchSize, permutationTensor, roiPtrInputCropRegion);
+                    else
+                        init_ricap(maxWidth, maxHeight, batchSize, permutationTensor, roiPtrInputCropRegion);
+
+                    startWallTime = omp_get_wtime();
+                    startCpuTime = clock();
+                    if (inputBitDepth == 0 || inputBitDepth == 1 || inputBitDepth == 2 || inputBitDepth == 5)
+                        rppt_ricap_host(input, srcDescPtr, output, dstDescPtr, permutationTensor, roiPtrInputCropRegion, roiTypeSrc, handle);
+                    else
+                        missingFuncFlag = 1;
+
+                    break;
+                }
                 case 84:
                 {
                     testCaseName = "spatter";
@@ -692,7 +761,6 @@ int main(int argc, char **argv)
                 cout <<"CPU Backend Clock Time: "<< cpuTime <<" ms/batch"<< endl;
                 cout <<"CPU Backend Wall Time: "<< wallTime <<" ms/batch"<< endl;
 
-
                 if (reductionTypeCase)
                 {
                     if(srcDescPtr->c == 3)
diff --git a/utilities/test_suite/HOST/Tensor_host_audio.cpp b/utilities/test_suite/HOST/Tensor_host_audio.cpp
index 0a33016d1..a67add9f5 100644
--- a/utilities/test_suite/HOST/Tensor_host_audio.cpp
+++ b/utilities/test_suite/HOST/Tensor_host_audio.cpp
@@ -24,30 +24,30 @@ THE SOFTWARE.
 
 int main(int argc, char **argv)
 {
-    // Handle inputs
+    // handle inputs
     const int MIN_ARG_COUNT = 6;
     if (argc < MIN_ARG_COUNT)
     {
         printf("\nImproper Usage! Needs all arguments!\n");
-        printf("\nUsage: ./Tensor_host_audio <src folder> <u8 = 0 / f16 = 1 / f32 = 2 / u8->f16 = 3 / u8->f32 = 4 / i8 = 5 / u8->i8 = 6> <case number = 0:1> <test type 0/1> <numRuns> <batchSize> <dst folder>\n");
+        printf("\nUsage: ./Tensor_host_audio <src folder> <case number = 0:0> <test type 0/1> <numRuns> <batchSize> <dst folder>\n");
         return -1;
     }
 
     char *src = argv[1];
-    int inputBitDepth = atoi(argv[2]);
-    int testCase = atoi(argv[3]);
-    int testType = atoi(argv[4]);
-    int numRuns = atoi(argv[5]);
-    int batchSize = atoi(argv[6]);
-    char *dst = argv[7];
-
-    if (testType == 0 && batchSize != 8)
+    int testCase = atoi(argv[2]);
+    int testType = atoi(argv[3]);
+    int numRuns = atoi(argv[4]);
+    int batchSize = atoi(argv[5]);
+    char *dst = argv[6];
+
+    // validation checks
+    if (testType == 0 && batchSize != 3)
     {
-        cout << "Error! QA Mode only runs with batchsize 8" << endl;
+        cout << "Error! QA Mode only runs with batchsize 3" << endl;
         return -1;
     }
 
-    // Set case names
+    // set case names
     string funcName = audioAugmentationMap[testCase];
     if (funcName.empty())
     {
@@ -57,22 +57,18 @@ int main(int argc, char **argv)
         return -1;
     }
 
-    // Initialize tensor descriptors
+    // initialize tensor descriptors
     RpptDesc srcDesc, dstDesc;
     RpptDescPtr srcDescPtr, dstDescPtr;
     srcDescPtr = &srcDesc;
     dstDescPtr = &dstDesc;
 
-    // Set src/dst data types in tensor descriptors
-    if (inputBitDepth == 2)
-    {
-        srcDescPtr->dataType = RpptDataType::F32;
-        dstDescPtr->dataType = RpptDataType::F32;
-    }
+    // set src/dst data types in tensor descriptors
+    srcDescPtr->dataType = RpptDataType::F32;
+    dstDescPtr->dataType = RpptDataType::F32;
 
-    // Other initializations
+    // other initializations
     int missingFuncFlag = 0;
-    int i = 0, j = 0;
     int maxSrcChannels = 0;
     int maxSrcWidth = 0, maxSrcHeight = 0;
     int maxDstWidth = 0, maxDstHeight = 0;
@@ -80,13 +76,13 @@ int main(int argc, char **argv)
     Rpp64u oBufferSize = 0;
     static int noOfAudioFiles = 0;
 
-    // String ops on function name
+    // string ops on function name
     char src1[1000];
     strcpy(src1, src);
     strcat(src1, "/");
     string func = funcName;
 
-    // Get number of audio files
+    // get number of audio files
     vector<string> audioNames, audioFilesPath;
     search_files_recursive(src, audioNames, audioFilesPath, ".wav");
     noOfAudioFiles = audioNames.size();
@@ -96,19 +92,17 @@ int main(int argc, char **argv)
         noOfAudioFiles = audioNames.size();
     }
 
-    // Initialize the AudioPatch for source
+    // initialize the buffers for audio length and channels
     Rpp32s *srcLengthTensor = (Rpp32s *) calloc(batchSize, sizeof(Rpp32s));
     Rpp32s *channelsTensor = (Rpp32s *) calloc(batchSize, sizeof(Rpp32s));
-    RpptImagePatch *srcDims = (RpptImagePatch *) calloc(batchSize, sizeof(RpptImagePatch));
-    RpptImagePatch *dstDims = (RpptImagePatch *) calloc(batchSize, sizeof(RpptImagePatch));
 
-    // Find max audio dimensions in the input dataset
+    // find max audio dimensions in the input dataset
     maxSrcHeight = 1;
     maxDstHeight = 1;
     set_audio_max_dimensions(audioFilesPath, maxSrcWidth, maxSrcChannels);
     maxDstWidth = maxSrcWidth;
 
-    // Set numDims, offset, n/c/h/w values for src/dst
+    // set numDims, offset, n/c/h/w values for src/dst
     Rpp32u offsetInBytes = 0;
     set_audio_descriptor_dims_and_strides(srcDescPtr, batchSize, maxSrcHeight, maxSrcWidth, maxSrcChannels, offsetInBytes);
     int maxDstChannels = maxSrcChannels;
@@ -116,32 +110,30 @@ int main(int argc, char **argv)
         maxDstChannels = 1;
     set_audio_descriptor_dims_and_strides(dstDescPtr, batchSize, maxDstHeight, maxDstWidth, maxDstChannels, offsetInBytes);
 
-    // Set buffer sizes for src/dst
+    // set buffer sizes for src/dst
     iBufferSize = (Rpp64u)srcDescPtr->h * (Rpp64u)srcDescPtr->w * (Rpp64u)srcDescPtr->c * (Rpp64u)srcDescPtr->n;
     oBufferSize = (Rpp64u)dstDescPtr->h * (Rpp64u)dstDescPtr->w * (Rpp64u)dstDescPtr->c * (Rpp64u)dstDescPtr->n;
 
-    // Initialize host buffers for input & output
+    // initialize host buffers for input & output
     Rpp32f *inputf32 = (Rpp32f *)calloc(iBufferSize, sizeof(Rpp32f));
     Rpp32f *outputf32 = (Rpp32f *)calloc(oBufferSize, sizeof(Rpp32f));
 
-    // Run case-wise RPP API and measure time
+    // run case-wise RPP API and measure time
     rppHandle_t handle;
-    rppCreateWithBatchSize(&handle, srcDescPtr->n, 8);
+    rppCreateWithBatchSize(&handle, srcDescPtr->n, 3);
     int noOfIterations = (int)audioNames.size() / batchSize;
     double maxWallTime = 0, minWallTime = 500, avgWallTime = 0;
-    double cpuTime, wallTime;
     string testCaseName;
     printf("\nRunning %s %d times (each time with a batch size of %d images) and computing mean statistics...", func.c_str(), numRuns, batchSize);
     for (int perfRunCount = 0; perfRunCount < numRuns; perfRunCount++)
     {
         for (int iterCount = 0; iterCount < noOfIterations; iterCount++)
         {
-            // Read and decode audio and fill the audio dim values
-            if (inputBitDepth == 2)
-                read_audio_batch_and_fill_dims(srcDescPtr, inputf32, audioFilesPath, iterCount, srcLengthTensor, channelsTensor);
+            // read and decode audio and fill the audio dim values
+            read_audio_batch_and_fill_dims(srcDescPtr, inputf32, audioFilesPath, iterCount, srcLengthTensor, channelsTensor);
 
-            clock_t startCpuTime, endCpuTime;
             double startWallTime, endWallTime;
+            double wallTime;
             switch (testCase)
             {
                 case 0:
@@ -155,11 +147,7 @@ int main(int argc, char **argv)
                     Rpp32s resetInterval = 8192;
 
                     startWallTime = omp_get_wtime();
-                    startCpuTime= clock();
-                    if (inputBitDepth == 2)
-                        rppt_non_silent_region_detection_host(inputf32, srcDescPtr, srcLengthTensor, detectedIndex, detectionLength, cutOffDB, windowLength, referencePower, resetInterval, handle);
-                    else
-                        missingFuncFlag = 1;
+                    rppt_non_silent_region_detection_host(inputf32, srcDescPtr, srcLengthTensor, detectedIndex, detectionLength, cutOffDB, windowLength, referencePower, resetInterval, handle);
 
                     // QA mode - verify outputs with golden outputs. Below code doesn’t run for performance tests
                     if (testType == 0)
@@ -196,7 +184,6 @@ int main(int argc, char **argv)
                 }
             }
 
-            endCpuTime = clock();
             endWallTime = omp_get_wtime();
             if (missingFuncFlag == 1)
             {
@@ -204,7 +191,6 @@ int main(int argc, char **argv)
                 return -1;
             }
 
-            cpuTime = ((double)(endCpuTime - startCpuTime)) / CLOCKS_PER_SEC;
             wallTime = endWallTime - startWallTime;
             maxWallTime = std::max(maxWallTime, wallTime);
             minWallTime = std::min(minWallTime, wallTime);
@@ -239,7 +225,7 @@ int main(int argc, char **argv)
     // performance test mode
     if (testType == 1)
     {
-        // Display measured times
+        // display measured times
         maxWallTime *= 1000;
         minWallTime *= 1000;
         avgWallTime *= 1000;
@@ -247,14 +233,12 @@ int main(int argc, char **argv)
         cout << fixed << "\nmax,min,avg wall times in ms/batch = " << maxWallTime << "," << minWallTime << "," << avgWallTime;
     }
 
-    cout<<endl;
+    cout << endl;
 
-    // Free memory
+    // free memory
     free(srcLengthTensor);
     free(channelsTensor);
-    free(srcDims);
-    free(dstDims);
     free(inputf32);
     free(outputf32);
     return 0;
-}
\ No newline at end of file
+}
diff --git a/utilities/test_suite/HOST/runAudioTests.py b/utilities/test_suite/HOST/runAudioTests.py
index b02eee10a..8901c9714 100644
--- a/utilities/test_suite/HOST/runAudioTests.py
+++ b/utilities/test_suite/HOST/runAudioTests.py
@@ -28,8 +28,8 @@
 # Set the timestamp
 timestamp = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
 
-cwd = os.getcwd()
-inFilePath = os.path.join(os.path.dirname(cwd), 'TEST_AUDIO_FILES', 'eight_samples_single_channel_src1')
+scriptPath = os.path.dirname(os.path.realpath(__file__))
+inFilePath = scriptPath + "/../TEST_AUDIO_FILES/three_samples_single_channel_src1"
 
 # Checks if the folder path is empty, or is it a root folder, or if it exists, and remove its contents
 def validate_and_remove_files(path):
@@ -85,28 +85,28 @@ def validate_path(input_path):
 # Get a list of log files based on a flag for preserving output
 def get_log_file_list():
     return [
-        "../../OUTPUT_PERFORMANCE_AUDIO_LOGS_HOST_" + timestamp + "/Tensor_host_audio_raw_performance_log.txt",
+        scriptPath + "../../OUTPUT_PERFORMANCE_AUDIO_LOGS_HOST_" + timestamp + "/Tensor_host_audio_raw_performance_log.txt",
     ]
 
-def run_unit_test(srcPath, case, numRuns, testType, bitDepth, batchSize, outFilePath):
+def run_unit_test(srcPath, case, numRuns, testType, batchSize, outFilePath):
     print("\n\n\n\n")
     print("--------------------------------")
     print("Running a New Functionality...")
     print("--------------------------------")
-    print(f"./Tensor_host_audio {srcPath} {bitDepth} {case} {numRuns} {testType} {numRuns} {batchSize}")
-    result = subprocess.run(["./Tensor_host_audio", srcPath, str(bitDepth), str(case), str(testType), str(numRuns), str(batchSize), outFilePath], stdout=subprocess.PIPE)    # nosec
+    print(f"./Tensor_host_audio {srcPath} {case} {numRuns} {testType} {numRuns} {batchSize}")
+    result = subprocess.run([scriptPath + "/build/Tensor_host_audio", srcPath, str(case), str(testType), str(numRuns), str(batchSize), outFilePath], stdout=subprocess.PIPE)    # nosec
     print(result.stdout.decode())
 
     print("------------------------------------------------------------------------------------------")
 
-def run_performance_test(loggingFolder, srcPath, case, numRuns, testType, bitDepth, batchSize, outFilePath):
+def run_performance_test(loggingFolder, srcPath, case, numRuns, testType, batchSize, outFilePath):
     print("\n\n\n\n")
     print("--------------------------------")
     print("Running a New Functionality...")
     print("--------------------------------")
     with open("{}/Tensor_host_audio_raw_performance_log.txt".format(loggingFolder), "a") as log_file:
-        print(f"./Tensor_host_audio {srcPath} {bitDepth} {case} {numRuns} {testType} {numRuns} {batchSize} ")
-        process = subprocess.Popen(["./Tensor_host_audio", srcPath, str(bitDepth), str(case), str(testType), str(numRuns), str(batchSize), outFilePath], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)    # nosec
+        print(f"./Tensor_host_audio {srcPath} {case} {numRuns} {testType} {numRuns} {batchSize} ")
+        process = subprocess.Popen([scriptPath + "/build/Tensor_host_audio", srcPath, str(case), str(testType), str(numRuns), str(batchSize), outFilePath], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)    # nosec
         while True:
             output = process.stdout.readline()
             if not output and process.poll() is not None:
@@ -122,6 +122,7 @@ def rpp_test_suite_parser_and_validator():
     parser.add_argument("--case_start", type = int, default = 0, help = "Testing range starting case # - (0:1)")
     parser.add_argument("--case_end", type = int, default = 1, help = "Testing range ending case # - (0:1)")
     parser.add_argument('--test_type', type = int, default = 0, help = "Type of Test - (0 = QA tests / 1 = Performance tests)")
+    parser.add_argument('--qa_mode', type = int, default = 0, help = "Run with qa_mode? Output audio data from tests will be compared with golden outputs - (0 / 1)", required = False)
     parser.add_argument('--case_list', nargs = "+", help = "List of case numbers to test", required = False)
     parser.add_argument('--num_runs', type = int, default = 1, help = "Specifies the number of runs for running the performance tests")
     parser.add_argument('--preserve_output', type = int, default = 1, help = "preserves the output of the program - (0 = override output / 1 = preserve output )")
@@ -144,6 +145,9 @@ def rpp_test_suite_parser_and_validator():
     elif args.case_list is not None and args.case_start > 1 and args.case_end < 0:
         print("Invalid input! Please provide only 1 option between case_list, case_start and case_end")
         exit(0)
+    elif args.qa_mode < 0 or args.qa_mode > 1:
+        print("QA mode must be in the 0 / 1. Aborting!")
+        exit(0)
     elif args.num_runs <= 0:
         print("Number of Runs must be greater than 0. Aborting!")
         exit(0)
@@ -173,23 +177,28 @@ def rpp_test_suite_parser_and_validator():
 caseEnd = args.case_end
 testType = args.test_type
 caseList = args.case_list
+qaMode = args.qa_mode
 numRuns = args.num_runs
 preserveOutput = args.preserve_output
 batchSize = args.batch_size
-bitDepth = 2 # Current audio test suite only supports bit depth 2
 outFilePath = " "
 
+# Override testType to 0 if testType is 1 and qaMode is 1
+if testType == 1 and qaMode == 1:
+    print("WARNING: QA Mode cannot be run with testType = 1 (performance tests). Resetting testType to 0")
+    testType = 0
+
 if preserveOutput == 0:
-    validate_and_remove_folders(cwd, "QA_RESULTS_AUDIO_HOST")
-    validate_and_remove_folders(cwd, "OUTPUT_PERFORMANCE_AUDIO_LOGS_HOST")
+    validate_and_remove_folders(scriptPath, "QA_RESULTS_AUDIO_HOST")
+    validate_and_remove_folders(scriptPath, "OUTPUT_PERFORMANCE_AUDIO_LOGS_HOST")
 
 if(testType == 0):
-    outFilePath = os.path.join(os.path.dirname(cwd), 'QA_RESULTS_AUDIO_HOST_' + timestamp)
+    outFilePath = scriptPath + "/../QA_RESULTS_AUDIO_HOST_" + timestamp
     numRuns = 1
 elif(testType == 1):
     if "--num_runs" not in sys.argv:
         numRuns = 100   #default numRuns for running performance tests
-    outFilePath = os.path.join(os.path.dirname(cwd), 'OUTPUT_PERFORMANCE_AUDIO_LOGS_HOST_' + timestamp)
+    outFilePath = scriptPath + "/../OUTPUT_PERFORMANCE_AUDIO_LOGS_HOST_" + timestamp
 else:
     print("Invalid TEST_TYPE specified. TEST_TYPE should be 0/1 (0 = QA tests / 1 = Performance tests)")
     exit(0)
@@ -202,49 +211,61 @@ def rpp_test_suite_parser_and_validator():
 validate_and_remove_files(dstPath)
 
 # Enable extglob
-if os.path.exists("build"):
-    shutil.rmtree("build")
-os.makedirs("build")
-os.chdir("build")
+if os.path.exists(scriptPath + "/build"):
+    shutil.rmtree(scriptPath + "/build")
+os.makedirs(scriptPath + "/build")
+os.chdir(scriptPath + "/build")
 
 # Run cmake and make commands
 subprocess.run(["cmake", ".."], cwd=".")   # nosec
 subprocess.run(["make", "-j16"], cwd=".")    # nosec
 
 if testType == 0:
+    if batchSize != 3:
+        print("QA tests can only run with a batch size of 3.")
+        exit(0)
+
     for case in caseList:
-        if batchSize != 8:
-            print("QA tests can only run with a batch size of 8.")
-            exit(0)
         if int(case) < 0 or int(case) > 1:
             print(f"Invalid case number {case}. Case number must be 0-1 range!")
             continue
 
-        run_unit_test(srcPath, case, numRuns, testType, bitDepth, batchSize, outFilePath)
+        run_unit_test(srcPath, case, numRuns, testType, batchSize, outFilePath)
 else:
     for case in caseList:
         if int(case) < 0 or int(case) > 1:
             print(f"Invalid case number {case}. Case number must be 0-1 range!")
             continue
 
-        run_performance_test(loggingFolder, srcPath, case, numRuns, testType, bitDepth, batchSize, outFilePath)
+        run_performance_test(loggingFolder, srcPath, case, numRuns, testType, batchSize, outFilePath)
 
 # print the results of qa tests
 supportedCaseList = ['0', '1']
-supportedCases = 0
-for num in caseList:
-    if num in supportedCaseList:
-        supportedCases += 1
-caseInfo = "Tests are run for " + str(supportedCases) + " supported cases out of the " + str(len(caseList)) + " cases requested"
+nonQACaseList = [] # Add cases present in supportedCaseList, but without QA support
+
 if testType == 0:
     qaFilePath = os.path.join(outFilePath, "QA_results.txt")
-    f = open(qaFilePath, 'r+')
-    print("---------------------------------- Results of QA Test ----------------------------------\n")
-    for line in f:
-        sys.stdout.write(line)
-        sys.stdout.flush()
-    f.write(caseInfo)
-print("\n-------------- " + caseInfo + " --------------")
+    checkFile = os.path.isfile(qaFilePath)
+    if checkFile:
+        f = open(qaFilePath, 'r+')
+        print("---------------------------------- Results of QA Test - Tensor_host_audio -----------------------------------\n")
+        numLines = 0
+        numPassed = 0
+        for line in f:
+            sys.stdout.write(line)
+            numLines += 1
+            if "PASSED" in line:
+                numPassed += 1
+            sys.stdout.flush()
+        resultsInfo = "\n\nFinal Results of Tests:"
+        resultsInfo += "\n    - Total test cases including all subvariants REQUESTED = " + str(numLines)
+        resultsInfo += "\n    - Total test cases including all subvariants PASSED = " + str(numPassed)
+        resultsInfo += "\n\nGeneral information on Tensor test suite availability:"
+        resultsInfo += "\n    - Total augmentations supported in Tensor audio test suite = " + str(len(supportedCaseList))
+        resultsInfo += "\n    - Total augmentations with golden output QA test support = " + str(len(supportedCaseList) - len(nonQACaseList))
+        resultsInfo += "\n    - Total augmentations without golden ouput QA test support (due to randomization involved) = " + str(len(nonQACaseList))
+        f.write(resultsInfo)
+    print("\n-------------------------------------------------------------------" + resultsInfo + "\n\n-------------------------------------------------------------------")
 
 # Performance tests
 if (testType == 1):
diff --git a/utilities/test_suite/HOST/runTests.py b/utilities/test_suite/HOST/runTests.py
index 3b442ad5a..559f1b0cd 100644
--- a/utilities/test_suite/HOST/runTests.py
+++ b/utilities/test_suite/HOST/runTests.py
@@ -30,10 +30,10 @@
 # Set the value of an environment variable
 os.environ["TIMESTAMP"] = timestamp
 
-cwd = os.getcwd()
-inFilePath1 = os.path.join(os.path.dirname(cwd), 'TEST_IMAGES', 'three_images_mixed_src1')
-inFilePath2 = os.path.join(os.path.dirname(cwd), 'TEST_IMAGES', 'three_images_mixed_src2')
-qaInputFile = os.path.join(os.path.dirname(cwd), 'TEST_IMAGES', 'three_images_mixed_src1')
+scriptPath = os.path.dirname(os.path.realpath(__file__))
+inFilePath1 = scriptPath + "/../TEST_IMAGES/three_images_mixed_src1"
+inFilePath2 = scriptPath + "/../TEST_IMAGES/three_images_mixed_src2"
+qaInputFile = scriptPath + "/../TEST_IMAGES/three_images_mixed_src1"
 
 def validate_path(input_path):
     if not os.path.exists(input_path):
@@ -54,9 +54,9 @@ def create_layout_directories(dst_path, layout_dict):
 
 def get_log_file_list(preserveOutput):
     return [
-        "../OUTPUT_PERFORMANCE_LOGS_HOST_" + timestamp + "/Tensor_host_pkd3_raw_performance_log.txt",
-        "../OUTPUT_PERFORMANCE_LOGS_HOST_" + timestamp + "/Tensor_host_pln3_raw_performance_log.txt",
-        "../OUTPUT_PERFORMANCE_LOGS_HOST_" + timestamp + "/Tensor_host_pln1_raw_performance_log.txt"
+        scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HOST_" + timestamp + "/Tensor_host_pkd3_raw_performance_log.txt",
+        scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HOST_" + timestamp + "/Tensor_host_pln3_raw_performance_log.txt",
+        scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HOST_" + timestamp + "/Tensor_host_pln1_raw_performance_log.txt"
     ]
 
 def rpp_test_suite_parser_and_validator():
@@ -148,40 +148,46 @@ def rpp_test_suite_parser_and_validator():
 # set the output folders and number of runs based on type of test (unit test / performance test)
 if(testType == 0):
     if qaMode:
-        outFilePath = os.path.join(os.path.dirname(cwd), 'QA_RESULTS_HOST_' + timestamp)
+        outFilePath = scriptPath + "/../QA_RESULTS_HOST_" + timestamp
     else:
-        outFilePath = os.path.join(os.path.dirname(cwd), 'OUTPUT_IMAGES_HOST_' + timestamp)
+        outFilePath = scriptPath + "/../OUTPUT_IMAGES_HOST_" + timestamp
     numRuns = 1
 elif(testType == 1):
     if numRuns == 0:
         numRuns = 100  #default numRuns for running performance tests
-    outFilePath = os.path.join(os.path.dirname(cwd), 'OUTPUT_PERFORMANCE_LOGS_HOST_' + timestamp)
+    outFilePath = scriptPath + "/../OUTPUT_PERFORMANCE_LOGS_HOST_" + timestamp
 dstPath = outFilePath
 
 # run the shell script
-subprocess.call(["./testAllScript.sh", srcPath1, args.input_path2, str(testType), str(numRuns), str(qaMode), str(decoderType), str(preserveOutput), str(batchSize), " ".join(caseList)])  # nosec
+subprocess.call([scriptPath + "/testAllScript.sh", srcPath1, args.input_path2, str(testType), str(numRuns), str(qaMode), str(decoderType), str(preserveOutput), str(batchSize), " ".join(caseList)])  # nosec
 
 # print the results of qa tests
-supportedCaseList = ['0', '1', '2', '4', '13', '31', '34', '36', '37', '38', '84', '87']
+supportedCaseList = ['0', '1', '2', '4', '13', '29', '31', '34', '36', '37', '38', '82', '84', '87']
 nonQACaseList = ['54', '84']
-supportedCases = 0
-for num in caseList:
-    if qaMode == 1 and num not in nonQACaseList:
-        supportedCases += 1
-    elif qaMode == 0 and num in supportedCaseList:
-        supportedCases += 1
-caseInfo = "Tests are run for " + str(supportedCases) + " supported cases out of the " + str(len(caseList)) + " cases requested"
+
 if qaMode and testType == 0:
     qaFilePath = os.path.join(outFilePath, "QA_results.txt")
     checkFile = os.path.isfile(qaFilePath)
     if checkFile:
         f = open(qaFilePath, 'r+')
         print("---------------------------------- Results of QA Test ----------------------------------\n")
+        numLines = 0
+        numPassed = 0
         for line in f:
             sys.stdout.write(line)
+            numLines += 1
+            if "PASSED" in line:
+                numPassed += 1
             sys.stdout.flush()
-        f.write(caseInfo)
-print("\n-------------- " + caseInfo + " --------------")
+        resultsInfo = "\n\nFinal Results of Tests:"
+        resultsInfo += "\n    - Total test cases including all subvariants REQUESTED = " + str(numLines)
+        resultsInfo += "\n    - Total test cases including all subvariants PASSED = " + str(numPassed)
+        resultsInfo += "\n\nGeneral information on Tensor test suite availability:"
+        resultsInfo += "\n    - Total augmentations supported in Tensor test suite = " + str(len(supportedCaseList))
+        resultsInfo += "\n    - Total augmentations with golden output QA test support = " + str(len(supportedCaseList) - len(nonQACaseList))
+        resultsInfo += "\n    - Total augmentations without golden ouput QA test support (due to randomization involved) = " + str(len(nonQACaseList))
+        f.write(resultsInfo)
+    print("\n-------------------------------------------------------------------" + resultsInfo + "\n\n-------------------------------------------------------------------")
 
 layoutDict = {0:"PKD3", 1:"PLN3", 2:"PLN1"}
 # unit tests and QA mode disabled
diff --git a/utilities/test_suite/HOST/testAllScript.sh b/utilities/test_suite/HOST/testAllScript.sh
index 823455bee..e3eb54e28 100755
--- a/utilities/test_suite/HOST/testAllScript.sh
+++ b/utilities/test_suite/HOST/testAllScript.sh
@@ -1,5 +1,11 @@
 #!/bin/bash
 
+echo "testAllScript info:"
+echo "basename: [$(basename "$0")]"
+echo "dirname : [$(dirname "$0")]"
+echo "pwd     : [$(pwd)]"
+
+cd $(dirname "$0")
 cwd=$(pwd)
 
 # <<<<<<<<<<<<<< VALIDATION CHECK FOR FOLDER PATHS >>>>>>>>>>>>>>>>>>>>>>>>>>>>
@@ -44,6 +50,9 @@ function VALIDATE_FOLDERS {
 DEFAULT_SRC_FOLDER_1="$cwd/../TEST_IMAGES/three_images_mixed_src1"
 DEFAULT_SRC_FOLDER_2="$cwd/../TEST_IMAGES/three_images_mixed_src2"
 
+#Input Images - Three images (same size) - for RICAP input images should be of same size
+RICAP_SRC_FOLDER="$cwd/../TEST_IMAGES/three_images_150x150_src1"
+
 # <<<<<<<<<<<<<< PROCESSING OF INPUT ARGUMENTS (NEED NOT CHANGE) >>>>>>>>>>>>>>
 
 CASE_MIN=0
@@ -158,7 +167,7 @@ directory_name_generator() {
         if [ "$case" -lt 5 ] || [ "$case" -eq 13 ] || [ "$case" -eq 31 ] || [ "$case" -eq 34 ] || [ "$case" -eq 36 ]
         then
             FUNCTIONALITY_GROUP="color_augmentations"
-        elif [ "$case" -eq 8 ] || [ "$case" -eq 30 ] || [ "$case" -eq 83 ] || [ "$case" -eq 84 ]
+        elif [ "$case" -eq 8 ] || [ "$case" -eq 30 ] || [ "$case" -eq 82 ] || [ "$case" -eq 83 ] || [ "$case" -eq 84 ]
         then
             FUNCTIONALITY_GROUP="effects_augmentations"
         elif [ "$case" -lt 40 ]
@@ -189,7 +198,7 @@ directory_name_generator() {
 VALIDATE_PATH "$DST_FOLDER"
 
 shopt -s extglob
-mkdir build
+mkdir -p build
 rm -rvf build/*
 cd build
 cmake ..
@@ -203,11 +212,13 @@ echo "##########################################################################
 if [ "$TEST_TYPE" -eq 0 ]; then
     for case in ${CASE_LIST[@]};
     do
+        endBitDepth=7
         if [ "$QA_MODE" -eq 1 ]; then
             if [ "$case" -eq "54" ] || [ "$case" -eq " 84" ]; then
                 echo "QA tests are not supported for case number $case, since it generates random output"
                 continue
             fi
+            endBitDepth=1
         fi
         if [ "$case" -lt "0" ] || [ "$case" -gt " 87" ]; then
             echo "Invalid case number $case. case number must be in the 0:87 range!"
@@ -237,13 +248,18 @@ if [ "$TEST_TYPE" -eq 0 ]; then
             echo "--------------------------------"
             printf "Running a New Functionality...\n"
             echo "--------------------------------"
-            for ((bitDepth=0;bitDepth<7;bitDepth++))
+            for ((bitDepth=0;bitDepth<$endBitDepth;bitDepth++))
             do
                 printf "\n\n\nRunning New Bit Depth...\n-------------------------\n\n"
                 for ((outputFormatToggle=0;outputFormatToggle<2;outputFormatToggle++))
                 do
-                    SRC_FOLDER_1_TEMP="$SRC_FOLDER_1"
-                    SRC_FOLDER_2_TEMP="$SRC_FOLDER_2"
+                    if [[ $case -eq 82 ]]; then
+                        SRC_FOLDER_1_TEMP="$RICAP_SRC_FOLDER"
+                        SRC_FOLDER_2_TEMP="$RICAP_SRC_FOLDER"
+                    else
+                        SRC_FOLDER_1_TEMP="$SRC_FOLDER_1"
+                        SRC_FOLDER_2_TEMP="$SRC_FOLDER_2"
+                    fi
 
                     # There is no layout toggle for PLN1 case, so skip this case
                     if [[ $layout -eq 2 ]] && [[ $outputFormatToggle -eq 1 ]]; then
diff --git a/utilities/test_suite/README.md b/utilities/test_suite/README.md
index 14309ff64..6b1e8515e 100644
--- a/utilities/test_suite/README.md
+++ b/utilities/test_suite/README.md
@@ -38,10 +38,14 @@ Note: QA mode is not supported for case 84 due to run-to-run variation of output
 python runTests.py --case_start 0 --case_end 87 --test_type 0 --qa_mode 1 --batch_size 3
 ```
 -   Unit test mode - Unit tests allowing users to pass a path to a folder containing images, to execute the desired functionality and variant once, report RPP execution wall time, save and view output images
+Note: For testcase 82(RICAP) Please use images of same resolution and Batchsize > 1
+      RICAP dataset path: rpp/utilities/test_suite/TEST_IMAGES/three_images_150x150_src1
 ``` python
 python runTests.py --case_start 0 --case_end 87 --test_type 0 --qa_mode 0
 ```
 -   Performance test mode - Performance tests that execute the desired functionality and variant 100 times by default, and report max/min/avg RPP execution wall time, or optionally, AMD rocprof kernel profiler max/min/avg time for HIP backend variants.
+Note: For testcase 82(RICAP) Please use images of same resolution and Batchsize > 1
+      RICAP dataset path: rpp/utilities/test_suite/TEST_IMAGES/three_images_150x150_src1
 ``` python
 python runTests.py --case_start 0 --case_end 87 --test_type 1
 ```
@@ -74,6 +78,7 @@ The image test suite includes:
 ## Rpp Audio Test Suite
 The audio test suite can be executed to validate the functionality and performance of the AMD ROCm Performance Primitives (RPP) audio library.
 -   HOST backend - (On a CPU with HOST backend)
+-   F32 Bit Depth
 
 ## Command Line Arguments (Rpp Audio Test Suite)
 The audio test suite accepts the following command line arguments:
@@ -81,6 +86,7 @@ The audio test suite accepts the following command line arguments:
 -   case_start: The starting case number for the test range (0-0). Default is 0
 -   case_end: The ending case number for the test range (0-0). Default is 0
 -   test_type: The type of test to run (0 = QA tests, 1 = Performance tests). Default is 0
+-   qa_mode: Output audio data from tests will be compared with golden outputs - (0 / 1). Default is 0
 -   case_list: A list of specific case numbers to run. Must be used in conjunction with --test_type
 -   num_runs: Specifies the number of runs for running the performance tests
 -   preserve_output: preserves the output or performance logs generated from the previous test suite run - (0 = remove output or performance logs / 1 = preserve output or performance logs). Default is 1
@@ -91,9 +97,9 @@ The test suite can be run with the following command:
 python runAudioTests.py --input_path <input_path> --case_start <case_start> --case_end <case_end> --test_type <test_type>
 
 ## Modes of operation (Rpp Audio Test Suite)
--   QA mode - Tolerance based PASS/FAIL tests for RPP AUDIO HOST functionalities checking match between output and preset golden outputs. Please note that QA mode is only supported with a batch size of 8.
+-   QA mode - Tolerance based PASS/FAIL tests for RPP AUDIO HOST functionalities checking match between output and preset golden outputs. Please note that QA mode is only supported with a batch size of 3.
 ``` python
-python runAudioTests.py --case_start 0 --case_end 0 --test_type 0 --batch_size 8
+python runAudioTests.py --case_start 0 --case_end 0 --qa_mode 1 --batch_size 3
 ```
 
 -   Performance test mode - Performance tests that execute the desired functionality and variant 100 times by default, and report max/min/avg RPP execution wall time.
@@ -105,7 +111,7 @@ To run the QA tests / performance tests for specific case numbers. please case u
 
 -   To run QA tests for case numbers 0, 1, 2
 ``` python
-python runTests.py --case_list 0 1 2 --test_type 0 --batch_size 8
+python runTests.py --case_list 0 1 2 --qa_mode 1 --batch_size 3
 ```
 -   To run performance tests for case numbers 0, 1, 2
 ``` python
diff --git a/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PKD3.csv b/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PKD3.csv
new file mode 100644
index 000000000..eb8944bb4
--- /dev/null
+++ b/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PKD3.csv
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PLN1.csv b/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PLN1.csv
new file mode 100644
index 000000000..5a714f17a
--- /dev/null
+++ b/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PLN1.csv
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PLN3.csv b/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PLN3.csv
new file mode 100644
index 000000000..fc0d2c0ec
--- /dev/null
+++ b/utilities/test_suite/REFERENCE_OUTPUT/ricap/ricap_u8_Tensor_PLN3.csv
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PKD3.csv b/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PKD3.csv
new file mode 100644
index 000000000..f0c836fe8
--- /dev/null
+++ b/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PKD3.csv
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\ No newline at end of file
diff --git a/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PLN1.csv b/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PLN1.csv
new file mode 100644
index 000000000..ddeedfaa6
--- /dev/null
+++ b/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PLN1.csv
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PLN3.csv b/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PLN3.csv
new file mode 100644
index 000000000..7ac8fe844
--- /dev/null
+++ b/utilities/test_suite/REFERENCE_OUTPUT/water/water_u8_Tensor_PLN3.csv
@@ -0,0 +1 @@
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63,68,59,58,66,64,69,63,62,60,73,66,62,62,62,68,67,61,66,66,63,62,64,67,68,67,63,64,64,60,68,65,70,59,135,48,67,61,123,126,114,42,52,37,57,61,66,48,46,62,65,62,61,63,64,66,66,66,64,67,70,68,71,71,69,68,68,69,70,69,68,67,69,69,64,61,60,65,64,62,62,60,62,62,64,64,63,63,68,71,71,70,69,73,71,71,69,0,0,0,0,109,15,21,102,117,104,52,90,101,105,115,107,140,25,111,108,111,66,121,89,93,64,58,63,30,68,89,60,61,77,19,98,65,66,52,63,138,67,66,64,144,129,69,62,65,68,70,68,57,60,69,63,70,57,60,66,66,69,68,66,65,67,66,65,65,60,63,68,59,66,66,60,65,64,67,69,68,65,64,64,58,66,63,66,63,129,48,69,65,129,125,114,40,56,26,65,64,65,47,39,62,64,61,59,62,61,65,67,67,67,67,70,69,68,71,71,68,68,69,69,70,69,68,69,70,68,62,62,61,64,64,65,62,61,62,65,63,62,63,66,71,69,68,69,71,70,74,71,0,0,0,0,70,105,20,107,115,98,117,105,50,90,85,58,115,13,113,59,81,56,65,32,22,146,58,62,27,18,138,62,64,117,18,152,64,65,65,111,93,66,65,62,62,62,69,61,69,60,73,66,60,62,70,64,70,61,63,64,68,66,65,64,70,65,65,64,67,62,60,63,64,67,66,64,65,65,66,68,68,65,68,65,55,66,64,69,50,100,73,62,67,119,91,126,111,42,105,65,67,40,110,58,64,64,62,58,67,62,65,64,67,67,69,70,70,69,71,71,69,69,69,69,70,69,68,70,70,68,64,62,61,63,64,66,62,62,61,62,62,61,62,66,70,69,67,68,70,73,74,69,0,0,0,0,19,96,30,90,108,28,55,63,13,75,16,103,59,70,115,20,165,58,136,26,27,89,65,60,116,24,48,64,66,137,104,61,64,65,62,126,62,67,62,66,63,66,66,59,65,64,67,68,57,59,67,66,67,64,63,63,69,64,66,63,68,65,62,65,67,62,63,61,63,67,67,65,63,66,68,70,68,65,68,59,47,64,68,68,36,24,135,64,59,34,47,82,125,98,122,66,66,50,110,62,63,64,62,61,69,63,65,64,65,64,69,69,71,70,72,69,69,70,69,69,69,69,67,70,69,68,64,63,61,65,67,67,62,60,60,63,63,59,61,65,68,68,66,66,71,74,73,70,0,0,0,76,27,102,116,92,98,26,162,143,16,115,21,115,65,89,59,14,66,57,75,18,35,61,60,62,74,80,62,66,66,66,98,62,65,66,66,93,63,65,58,68,65,64,63,57,61,68,65,62,70,66,65,70,65,63,62,60,66,62,64,65,62,59,58,65,64,68,69,67,66,66,65,65,63,67,68,63,68,68,67,55,112,57,68,66,129,101,29,56,42,109,51,45,33,58,42,65,63,57,39,62,64,64,65,67,66,65,66,68,64,67,70,68,69,72,71,68,69,69,69,70,69,67,66,69,68,63,62,62,62,67,66,63,59,59,62,64,61,59,60,66,69,69,65,66,70,74,70,70,0,0,86,99,30,115,64,28,104,18,61,59,79,61,39,67,71,150,25,101,56,64,56,127,108,60,64,63,138,65,61,64,64,58,130,60,63,62,65,73,63,61,56,65,64,66,62,57,57,66,68,62,62,64,62,69,61,60,64,65,62,60,64,66,65,65,70,64,67,69,59,61,66,62,65,67,65,67,61,60,65,68,65,43,83,48,66,64,30,83,107,52,123,82,55,58,122,108,57,62,61,61,56,62,65,62,63,70,64,66,68,69,67,67,71,67,67,69,69,68,68,68,69,70,69,66,64,66,64,61,62,60,64,65,62,60,58,60,62,64,63,58,59,68,70,72,65,67,71,73,70,70,0,0,110,95,116,0,149,26,68,111,51,50,58,22,108,61,0,84,24,65,55,0,58,59,105,62,0,64,58,168,65,64,64,62,62,66,59,58,67,63,62,59,0,62,67,67,59,0,58,62,67,60,0,63,59,65,58,62,62,65,60,70,66,0,64,62,62,67,0,68,64,63,66,0,63,67,67,69,59,57,65,65,64,128,0,94,64,56,114,0,92,120,46,45,0,61,42,75,63,61,61,64,62,62,63,0,65,67,64,67,0,70,68,69,69,0,67,68,69,68,68,68,68,69,69,64,0,64,61,61,62,0,64,62,61,59,0,59,62,64,62,0,60,68,71,69,66,65,69,70,68,0,0,0,27,13,64,0,61,18,13,43,0,0,140,13,100,62,0,56,121,160,63,0,65,139,113,63,0,62,60,68,66,0,0,66,65,65,0,0,65,64,68,57,0,59,65,70,57,0,68,60,65,65,0,60,60,63,66,0,0,66,65,67,65,0,67,60,61,67,0,66,65,64,66,0,63,69,68,69,0,0,58,66,57,16,0,100,56,58,100,0,51,29,114,58,0,66,57,50,64,0,0,64,62,65,63,0,65,67,67,68,0,69,68,68,67,0,68,68,69,69,0,0,68,70,67,0,0,62,61,65,61,0,62,61,62,59,0,59,61,65,62,0,0,69,71,71,0,0,69,70,0,0,0,0,21,27,164,0,0,90,24,149,0,0,115,70,151,0,0,58,65,75,63,0,61,63,56,64,0,0,61,57,65,0,0,65,62,66,0,0,62,62,68,0,0,56,69,68,58,0,62,62,61,64,0,0,63,60,63,0,0,64,70,62,0,0,67,62,62,66,0,66,66,66,65,0,0,68,68,66,0,0,55,64,57,0,0,24,48,129,38,0,46,114,130,59,0,0,64,59,63,0,0,64,62,65,0,0,65,64,68,68,0,68,69,69,66,0,0,68,69,69,0,0,68,70,66,0,0,63,61,62,0,0,62,62,61,58,0,58,63,65,61,0,0,68,70,71,0,0,70,68,0,0,0,0,20,14,91,0,0,105,27,111,0,0,59,108,81,0,0,59,136,51,0,0,61,62,65,64,0,0,64,63,64,0,0,65,66,67,0,0,59,66,65,0,0,54,65,64,60,0,0,59,59,66,0,0,63,58,59,0,0,63,68,65,0,0,66,62,66,0,0,0,66,67,63,0,0,70,68,63,0,0,47,60,46,0,0,34,73,110,0,0,0,126,82,58,0,0,67,61,62,0,0,64,62,66,0,0,65,64,68,0,0,67,70,70,66,0,0,69,68,69,0,0,68,69,66,0,0,62,61,61,0,0,61,60,60,58,0,0,62,63,59,0,0,66,69,71,0,0,71,69,0,0,0,0,15,30,0,0,0,55,90,61,0,0,59,62,67,0,0,60,145,56,0,0,0,58,60,0,0,0,64,61,63,0,0,65,66,66,0,0,58,66,64,0,0,0,62,62,0,0,0,60,62,62,0,0,64,60,62,0,0,64,64,64,0,0,0,65,63,0,0,0,66,66,62,0,0,68,69,61,0,0,52,62,36,0,0,40,81,103,0,0,0,125,82,0,0,0,66,64,62,0,0,62,64,65,0,0,63,63,66,0,0,0,70,71,0,0,0,69,68,68,0,0,68,68,66,0,0,62,63,60,0,0,0,62,60,0,0,0,61,63,58,0,0,64,69,66,0,0,69,69,69,0,0,0,
\ No newline at end of file
diff --git a/utilities/test_suite/REFERENCE_OUTPUTS_AUDIO/non_silent_region_detection/non_silent_region_detection_ref_237-134500-0001.txt b/utilities/test_suite/REFERENCE_OUTPUTS_AUDIO/non_silent_region_detection/non_silent_region_detection_ref_237-134500-0001.txt
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diff --git a/utilities/test_suite/TEST_AUDIO_FILES/eight_samples_single_channel_src1/237-126133-0020.wav b/utilities/test_suite/TEST_AUDIO_FILES/three_samples_single_channel_src1/sample1.wav
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rename from utilities/test_suite/TEST_AUDIO_FILES/eight_samples_single_channel_src1/237-126133-0020.wav
rename to utilities/test_suite/TEST_AUDIO_FILES/three_samples_single_channel_src1/sample1.wav
diff --git a/utilities/test_suite/TEST_AUDIO_FILES/eight_samples_single_channel_src1/2830-3979-0005.wav b/utilities/test_suite/TEST_AUDIO_FILES/three_samples_single_channel_src1/sample2.wav
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rename from utilities/test_suite/TEST_AUDIO_FILES/eight_samples_single_channel_src1/2830-3979-0005.wav
rename to utilities/test_suite/TEST_AUDIO_FILES/three_samples_single_channel_src1/sample2.wav
diff --git a/utilities/test_suite/TEST_AUDIO_FILES/eight_samples_single_channel_src1/6829-68769-0045.wav b/utilities/test_suite/TEST_AUDIO_FILES/three_samples_single_channel_src1/sample3.wav
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rename from utilities/test_suite/TEST_AUDIO_FILES/eight_samples_single_channel_src1/6829-68769-0045.wav
rename to utilities/test_suite/TEST_AUDIO_FILES/three_samples_single_channel_src1/sample3.wav
diff --git a/utilities/test_suite/TEST_IMAGES/three_images_150x150_src1/1_img150x150.jpg b/utilities/test_suite/TEST_IMAGES/three_images_150x150_src1/1_img150x150.jpg
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diff --git a/utilities/test_suite/rpp_test_suite_audio.h b/utilities/test_suite/rpp_test_suite_audio.h
index aa03eb46b..62840cdf3 100644
--- a/utilities/test_suite/rpp_test_suite_audio.h
+++ b/utilities/test_suite/rpp_test_suite_audio.h
@@ -21,12 +21,10 @@ THE SOFTWARE.
 */
 
 #include "rpp_test_suite_common.h"
-#include <fstream>
 #include <iomanip>
 #include <vector>
 #include <half/half.hpp>
 
-namespace fs = boost::filesystem;
 using half_float::half;
 using namespace std;
 typedef half Rpp16f;
@@ -40,6 +38,14 @@ std::map<int, string> audioAugmentationMap =
     {1, "to_decibels"},
 };
 
+// Golden outputs for Non Silent Region Detection
+std::map<string, std::vector<int>> NonSilentRegionReferenceOutputs =
+{
+    {"sample1", {0, 35840}},
+    {"sample2", {0, 33680}},
+    {"sample3", {0, 34160}}
+};
+
 // sets descriptor dimensions and strides of src/dst
 inline void set_audio_descriptor_dims_and_strides(RpptDescPtr descPtr, int batchSize, int maxHeight, int maxWidth, int maxChannels, int offsetInBytes)
 {
@@ -188,35 +194,25 @@ void verify_output(Rpp32f *dstPtr, RpptDescPtr dstDescPtr, RpptImagePatchPtr dst
 
 void verify_non_silent_region_detection(float *detectedIndex, float *detectionLength, string testCase, int bs, vector<string> audioNames, string dst)
 {
-    fstream refFile;
-    string refPath = get_current_dir_name();
-    string pattern = "HOST/build";
-    remove_substring(refPath, pattern);
-    refPath = refPath + "REFERENCE_OUTPUTS_AUDIO/";
     int fileMatch = 0;
     for (int i = 0; i < bs; i++)
     {
         string currentFileName = audioNames[i];
         size_t lastIndex = currentFileName.find_last_of(".");
         currentFileName = currentFileName.substr(0, lastIndex);  // Remove extension from file name
-        string outFile = refPath + testCase + "/" + testCase + "_ref_" + currentFileName + ".txt";
-        refFile.open(outFile, ios::in);
-        if (!refFile.is_open())
+        std::vector<int> referenceOutput = NonSilentRegionReferenceOutputs[currentFileName];
+        if(referenceOutput.empty())
         {
-            cout << "\n Unable to open the file specified! Please check the path of the file given as input" << endl;
+            cout << "\nUnable to get the reference outputs for the file specified!" << endl;
             break;
         }
+        Rpp32s outBegin = detectedIndex[i];
+        Rpp32s outLength = detectionLength[i];
+        Rpp32s refBegin = referenceOutput[0];
+        Rpp32s refLength = referenceOutput[1];
 
-        Rpp32s refIndex, refLength;
-        Rpp32s outIndex, outLength;
-        refFile >> refIndex;
-        refFile >> refLength;
-        outIndex = detectedIndex[i];
-        outLength = detectionLength[i];
-
-        if ((outIndex == refIndex) && (outLength == refLength))
+        if ((outBegin == refBegin) && (outLength == refLength))
             fileMatch += 1;
-        refFile.close();
     }
     std::string status = testCase + ": ";
     cout << std::endl << "Results for Test case: " << testCase << std::endl;
diff --git a/utilities/test_suite/rpp_test_suite_common.h b/utilities/test_suite/rpp_test_suite_common.h
index 9cbc9d934..ed2828b08 100644
--- a/utilities/test_suite/rpp_test_suite_common.h
+++ b/utilities/test_suite/rpp_test_suite_common.h
@@ -27,6 +27,7 @@ THE SOFTWARE.
 #include <opencv2/highgui/highgui.hpp>
 #include <opencv2/opencv.hpp>
 #include <iostream>
+#include "filesystem.h"
 #include "rpp.h"
 #include <sys/types.h>
 #include <sys/stat.h>
@@ -35,7 +36,7 @@ THE SOFTWARE.
 #include <omp.h>
 #include <fstream>
 #include <turbojpeg.h>
-#include <boost/filesystem.hpp>
+#include <random>
 
 #ifdef GPU_SUPPORT
     #include <hip/hip_fp16.h>
@@ -48,7 +49,6 @@ typedef half Rpp16f;
 
 using namespace cv;
 using namespace std;
-namespace fs = boost::filesystem;
 
 #define CUTOFF 1
 #define DEBUG_MODE 0
@@ -64,6 +64,7 @@ std::map<int, string> augmentationMap =
     {2, "blend"},
     {4, "contrast"},
     {13, "exposure"},
+    {29, "water"},
     {31, "color_cast"},
     {34, "lut"},
     {36, "color_twist"},
@@ -71,6 +72,7 @@ std::map<int, string> augmentationMap =
     {38, "crop_mirror_normalize"},
     {49, "box_filter"},
     {54, "gaussian_filter"},
+    {82, "ricap"},
     {84, "spatter"},
     {87, "tensor_sum"}
 };
@@ -297,7 +299,7 @@ inline void set_descriptor_layout( RpptDescPtr srcDescPtr, RpptDescPtr dstDescPt
 }
 
 // sets values of maxHeight and maxWidth
-inline void set_max_dimensions(vector<string>imagePaths, int& maxHeight, int& maxWidth)
+inline void set_max_dimensions(vector<string>imagePaths, int& maxHeight, int& maxWidth, int& imagesMixed)
 {
     tjhandle tjInstance = tjInitDecompress();
     for (const std::string& imagePath : imagePaths)
@@ -323,6 +325,9 @@ inline void set_max_dimensions(vector<string>imagePaths, int& maxHeight, int& ma
             continue;
         }
 
+        if((maxWidth && maxWidth != width) || (maxHeight && maxHeight != height))
+            imagesMixed = 1;
+
         maxWidth = max(maxWidth, width);
         maxHeight = max(maxHeight, height);
     }
@@ -932,7 +937,7 @@ template <typename T>
 inline void compare_output(T* output, string funcName, RpptDescPtr srcDescPtr, RpptDescPtr dstDescPtr, RpptImagePatch *dstImgSizes, int noOfImages, string interpolationTypeName, string noiseTypeName, int testCase, string dst)
 {
     string func = funcName;
-    string refPath = get_current_dir_name();
+    string refPath = fs::current_path();
     string pattern = "/build";
     string refFile = "";
     int refOutputWidth = ((GOLDEN_OUTPUT_MAX_WIDTH / 8) * 8) + 8;    // obtain next multiple of 8 after GOLDEN_OUTPUT_MAX_WIDTH
@@ -1021,10 +1026,99 @@ inline void compare_output(T* output, string funcName, RpptDescPtr srcDescPtr, R
     }
 }
 
+// Used to randomly swap values present in array of size n
+inline void randomize(unsigned int arr[], unsigned int n)
+{
+    // Use a different seed value each time
+    srand (time(NULL));
+    for (unsigned int i = n - 1; i > 0; i--)
+    {
+        // Pick a random index from 0 to i
+        unsigned int j = rand() % (i + 1);
+        std::swap(arr[i], arr[j]);
+    }
+}
+
+// Generates a random value between given min and max values
+int inline randrange(int min, int max)
+{
+    if(max < 0)
+        return -1;
+    return rand() % (max - min + 1) + min;
+}
+
+// RICAP Input Crop Region initializer for QA testing and golden output match
+void inline init_ricap_qa(int width, int height, int batchSize, Rpp32u *permutationTensor, RpptROIPtr roiPtrInputCropRegion)
+{
+    Rpp32u initialPermuteArray[batchSize], permutedArray[batchSize * 4];
+    int part0Width = 40; //Set part0 width around 1/3 of image width
+    int part0Height = 72; //Set part0 height around 1/2 of image height
+
+    for (uint i = 0; i < batchSize; i++)
+        initialPermuteArray[i] = i;
+
+    for(int i = 0; i < 4; i++)
+        memcpy(permutedArray + (batchSize * i), initialPermuteArray, batchSize * sizeof(Rpp32u));
+
+    for (uint i = 0, j = 0; j < batchSize * 4; i++, j += 4)
+    {
+        permutationTensor[j] = permutedArray[i];
+        permutationTensor[j + 1] = permutedArray[i + batchSize];
+        permutationTensor[j + 2] = permutedArray[i + (batchSize * 2)];
+        permutationTensor[j + 3] = permutedArray[i + (batchSize * 3)];
+    }
+
+    roiPtrInputCropRegion[0].xywhROI = {width - part0Width, 0, part0Width, part0Height};
+    roiPtrInputCropRegion[1].xywhROI = {part0Width, 0, width - part0Width, part0Height};
+    roiPtrInputCropRegion[2].xywhROI = {0, part0Height, part0Width, height - part0Height};
+    roiPtrInputCropRegion[3].xywhROI = {0, part0Height, width - part0Width, height - part0Height};
+}
+
+// RICAP Input Crop Region initializer for unit and performance testing
+void inline init_ricap(int width, int height, int batchSize, Rpp32u *permutationTensor, RpptROIPtr roiPtrInputCropRegion)
+{
+    Rpp32u initialPermuteArray[batchSize], permutedArray[batchSize * 4];
+    double randFromDist, randFromDist1;
+
+    for (uint i = 0; i < batchSize; i++)
+        initialPermuteArray[i] = i;
+
+    std::random_device rd;
+    std::mt19937 gen(rd()); // Pseudo random number generator
+    static std::uniform_real_distribution<double> unif(0.3, 0.7); // Generates a uniform real distribution between 0.3 and 0.7
+    double randVal = unif(gen);
+
+    std::random_device rd1;
+    std::mt19937 gen1(rd1());
+    static std::uniform_real_distribution<double> unif1(0.3, 0.7);
+    double randVal1 = unif1(gen1);
+
+    for(int i = 0; i < 4; i++)
+    {
+        randomize(initialPermuteArray, batchSize);
+        memcpy(permutedArray + (batchSize * i), initialPermuteArray, batchSize * sizeof(Rpp32u));
+    }
+
+    for (uint i = 0, j = 0; j < batchSize * 4; i++, j += 4)
+    {
+        permutationTensor[j] = permutedArray[i];
+        permutationTensor[j + 1] = permutedArray[i + batchSize];
+        permutationTensor[j + 2] = permutedArray[i + (batchSize * 2)];
+        permutationTensor[j + 3] = permutedArray[i + (batchSize * 3)];
+    }
+
+    int part0Width = std::round(randVal * width);
+    int part0Height = std::round(randVal1 * height);
+    roiPtrInputCropRegion[0].xywhROI = {randrange(0, width - part0Width - 8), randrange(0, height - part0Height), part0Width, part0Height}; // Subtracted x coordinate by 8 to avoid corruption when HIP processes 8 pixels at once
+    roiPtrInputCropRegion[1].xywhROI = {randrange(0, part0Width - 8), randrange(0, height - part0Height), width - part0Width, part0Height};
+    roiPtrInputCropRegion[2].xywhROI = {randrange(0, width - part0Width - 8), randrange(0, part0Height), part0Width, height - part0Height};
+    roiPtrInputCropRegion[3].xywhROI = {randrange(0, part0Width - 8), randrange(0, part0Height), width - part0Width, height - part0Height};
+}
+
 inline void compare_reduction_output(Rpp64u* output, string funcName, RpptDescPtr srcDescPtr, int testCase, string dst)
 {
     string func = funcName;
-    string refPath = get_current_dir_name();
+    string refPath = fs::current_path();
     string pattern = "/build";
     string refFile = "";