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RPP BitwiseAND and BitwiseOR Tensor on HOST and HIP (ROCm#318)
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* HOST test suite update for voxel processing

* Initial commit - Implements PLN1 Fmadd Kernel

* Add dependencies for fmadd kernel

* Implement NDHWC variant for Fmadd

Includes testsuite changes to support 3 channels

* Implement Slice HOST Kernel

Includes testsuite changes

* Fix NCDHW variant for Slice

* Cleanup

* Fix NDHWC variant

* Fix stride used for NDHWC

* Fix NDHWC layout handling in testsuite

Temporarily converts pln3 inputs into pkd3 inputs
later stores them as pln3 after processing

* Add sample input .nii file

Also fixes build error in testsuite

* Fix NDHWC layout for fmadd and slice

Also includes fixes in voxel testsuite

* Initial commit - Bitwise AND HOST Tensor

* Match u8 and i8 outputs with BatchPD variant

* Fix i8 PKD3 -> PLN3

* Initial commit - Bitwise AND HIP Tensor

Also includes fixing f16 and f32 datatype of HOST

* Add reference outputs

* License - updates to 2024 and consistency changes (#298)

* Match all CMakeLists.txt license as per RPP's outermost LICENSE file

* Match all python files' license as per RPP's outermost LICENSE file

* Match all .hpp files' license as per RPP's outermost LICENSE file

* Match all .cpp files' license as per RPP's outermost LICENSE file

* Match all .h files' license as per RPP's outermost LICENSE file

* Remove all rights reserved as per LICENSE file

* Remove double space in "Copyright (c) 2019 - 2023 Advanced Micro Devices, Inc."

* Match all .cmake files' license as per RPP's outermost LICENSE file

* Match all .cpp.in files' license as per RPP's outermost LICENSE file

* Replace 283 occurrences in 282 files - 2023 to 2024

* Add "MIT License" title to 281 instances

* Add missing license

* Test - Update README.md for test_suite (#299)

* Modify reference outputs

Update Copywrite

* Combine templated functions to support all datatypes

* Initial commit - Bitwise OR HOST

* Fix GPU kernel details

* Fix case number for HOST testsuite

* Initial commit - Bitwise OR HIP

Includes reference output

* Bump rocm-docs-core[api_reference] from 0.33.0 to 0.33.1 in /docs/sphinx (#301)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.33.0 to 0.33.1.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.33.0...v0.33.1)

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* Bump rocm-docs-core[api_reference] from 0.33.1 to 0.33.2 in /docs/sphinx (#302)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.33.1 to 0.33.2.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.33.1...v0.33.2)

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* Address review comments

* Update doc codeowners (#303)

* Documentation - Bump rocm-docs-core[api_reference] from 0.33.2 to 0.34.0 in /docs/sphinx (#304)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.33.2 to 0.34.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.33.2...v0.34.0)

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* Test suite - upgrade 5 qa perf (#305)

* experimental changes for adding qa mode for performance tests

* made changes to add display more information w.r.t QA results summary for performance tests

* minor changes

* Add changes to dump qa results to excel file

* Add performance QA for three new tensor functions

* update prerequisites in readme

* added changes to handle unsupported cases

* removed treshold dictionary and added performance Noise treshold
add new dataset for performance QA

* RPP Test Suite Upgrade 4 - CSV to BIN conversions for file size reduction (#293)

* change golden outputs from .csv files to .bin files

* Changed comparision funtions to use .bin files

* Address review comments

* minor change

* Address review comments

* minor change

---------

Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Changes to the performane summary dataframe

* minor changes

* Update CMakeLists.txt to add ${CMAKE_CURRENT_SOURCE_DIR} for CI

* Update CMakeLists.txt fix

* Update CMakeLists.txt fix

* remove tabulate dependency

* Update README.md to remove tabulate pip install

* Fix for CI machine failure

* Add note on performance

---------

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* RPP Color Temperature on HOST and HIP (#271)

* Initial commit - Color Temperature HOST Tensor

* Initial commit - Color Temperature HIP Tensor

* Add color temperature golden outputs

* address review comments

* Use reinterpret_cast instead of static_cast

* Combine templated functions to support all datatypes into one
(got minor perf difference of order 3%)

Also fixes indentation

* Fix i8 datatype

* Cleanup

* RPP Test Suite Upgrade 4 - CSV to BIN conversions for file size reduction (#293)

* change golden outputs from .csv files to .bin files

* Changed comparision funtions to use .bin files

* Address review comments

* minor change

* Address review comments

* minor change

---------

Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Fix PLN3 variant outputs

Also modifies reference outputs

* Update color_temperature.hpp license

* Delete color_temperature_u8_Tensor_PKD3.csv

* Delete color_temperature_u8_Tensor_PLN3.csv

---------

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Co-authored-by: Snehaa-Giridharan <118163708+snehaa8@users.noreply.github.com>

* RPP Voxel 3D Tensor Add/Subtract scalar on HOST and HIP (#272)

* added HOST support for voxel add kernel

* added HIP support for voxel add kernel

* added test suite support for add scalar

* added Doxygen support and modified hip kernel function names as per new standard

* added HOST support for voxel subtract kernel

* added HIP support for voxel subtract kernel

* added test suite support

* updated the golden outputs for subtract with correct values

* removed unnessary validation checks

* Remove double spaces

* Fix header

* Fix all retval docs

* Fix docs to add memory type

* Fix comment

* Add divider comment

* Use post-increment efficiently

* RPP Test Suite Upgrade 4 - CSV to BIN conversions for file size reduction (#293)

* change golden outputs from .csv files to .bin files

* Changed comparision funtions to use .bin files

* Address review comments

* minor change

* Address review comments

* minor change

---------

Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* converted add and subtract scalar golden outputs to bin files

* changed copyright from 2023 to 2024

* Update add_scalar.hpp license

* Update subtract_scalar.hpp license

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* RPP Magnitude on HOST and HIP (#278)

* Initial commit - Magnitude HOST Tensor

* Add QA reference outputs

* Update runTests.py

* Initial commit - Magnitude HIP Tensor

* Add dual input support in testsuite

* Optimize HOST kernel further

* Optimize i8 datatype further

* Modify comments

* RPP Test Suite Upgrade 4 - CSV to BIN conversions for file size reduction (#293)

* change golden outputs from .csv files to .bin files

* Changed comparision funtions to use .bin files

* Address review comments

* minor change

* Address review comments

* minor change

---------

Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Bump rocm-docs-core[api_reference] from 0.31.0 to 0.33.0 in /docs/sphinx (#294)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.31.0 to 0.33.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.31.0...v0.33.0)

---
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- dependency-name: rocm-docs-core[api_reference]
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* Update Copywright year

* Combine templated functions to support all datatypes

* Modify format of reference outputs

* Update rppi_arithmetic_operations.h license

* Update rppt_tensor_arithmetic_operations.h license

* Update host_tensor_arithmetic_operations.hpp

* Update magnitude.hpp license

* Update hip_tensor_arithmetic_operations.hpp license

* Delete magnitude_u8_Tensor_PKD3.csv

* Delete magnitude_u8_Tensor_PLN1.csv

* Delete magnitude_u8_Tensor_PLN3.csv

* Update rpp_test_suite_common.h license

* Update runTests.py license

* Update Tensor_hip.cpp license

* Update runTests.py license

* Update Tensor_host.cpp license

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* Bump rocm-docs-core[api_reference] from 0.34.0 to 0.34.2 in /docs/sphinx (#309)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.34.0 to 0.34.2.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.34.0...v0.34.2)

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* RPP Tensor Audio Support - Down Mixing (#296)

* Initial commit - Non slient region detection

Includes unittest setup

* Initial commit - To Decibels

Includes unittest setup

* Intial commit - pre_emphasis_filter

* Intial commit - down_mixing

* Replace vectors with arrays

* Cleanup

* Minor cleanup

* Optimize downmixing Kernel

Includes cleanup

* Replace Rpp64s with Rpp32s

* Cleanup

* Optimize and precompute cutOff

* Fix buffer used

* Fix buffer used

* Additional Cleanup

* Optimize post incrmeent operation

* Optimize post increment operation

* Update testsuite for Audio

* code cleanup

* Add Readme file for Audio test suite

* changes based on review comments

* minor change

* Remove unittest folders and updated README.md

* Remove unit tests

* minor change

* code cleanup

* added common header file for audio helper functions

* removed unncessary audio wav files

fixed bug in ROI updation for audio test suite

resolved issue in summary generation for performance tests in python

* removed log file

* added doxygen support for audio

* added doxygen changes for to_decibels

* updated test suite support for to_decibels

* minor change

* added doxygen changes for preemphasis filter

* updated changes for preemphasis filter in test suite

* removed the usage of getMax function and used std::max_element

* modularized code in test suite

* merge with latest changes

* minor change

* minor change

* minor change

* resolved codacy warnings

* Codacy fix - Remove unused cpuTime

* CMakeLists - Version Update

1.5.0 - TOT Version

* CHANGELOG Updates

Version 1.5.0 placeholder

* resolved issue with file_system dependency in test suite

* Doxygen changes

changed malloc to new in NSR kernel

* RPP RICAP Tensor for HOST and HIP (#213)

* Initial commit - Ricap HOST Tensor

Includes testsuite changes

* Add QA tests for RICAP

Used three_images_224x224_src1 folder to create golden outputs

* Add three_images_224x224_src1 into TEST_IMAGES

* Support HIP Backend for RICAP

* Fix HIP pkd3->pkd3 variant

* regenerated golden outputs for RICAP

minor changes in HOST shell script for handling RICAP in QA mode

* minor bug fix in RICAP HIP kernels

* Improve readability and Cleanup

* Additional cleanup

* Cleanup testsuite

Includes new golden outputs

* Additional testuite fixes

* Minor cleanup

* Fix codacy warnings

* Address other codacy warnings

* Update ricap.hpp with reference paper

* Add RICAP dataset path in readme

* Make changes to error codes returned

* Modify roi crop region for unit and perf tests

* RPP Tensor Water Augmentation on HOST and HIP (#181)

* added water HOST and HIP codes

* added water case in test suite

* added golden outputs for water

* added omp thread changes for water augmentation

* experimental changes

* fixed output issue with AVX2 instructions

* added AVX2 support for PKD3 load function

minor changes in PLN variant load functions

* nwc commit - added avx2 changes for u8 layout toggle variants but need to add store functions for completion

* Add Avx2 implementation for F32 and U8 toggle variants

* Add AVX2 support for u8 pkd3-pln3 and i8 pkd3-pln3 for water augmentation

* change F32 load and store logic

* optimized the store function for F32 PLN3-PKD3

* reverted back irrelevant changes

* minor change

* optimized load and store functions for water U8 and F32 variants in host

removed commented code

* removed golden outputs for water

* minor changes

* renamed few functions and removed unused functions

updated i8 pln1 load as per the optimized u8 pln1 load

* fixed bug in i8 load function

* changed cast to c++ style

resolved spacing issues and added comments for AVX codes for better understanding

made changes to handle cases where QA Tests are not supported

* added golden outputs for water

* updated golden outputs with latest changes

* modified the u8, i8 pkd3-pln3 function and added comments for the vectorized code

* fixed minor bug in I8 variants

* made to changes to resolve codacy warnings

* changed cast to c++ style in hip kernel

* changed generic nn F32 loads using gather and setr instructions

* added comments for latest changes

* minor change

* added definition for storing 32 and 64 bits from a 128bit register

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Fix build error

* CMakeLists - Version Update

1.5.0 - TOT Version

* CHANGELOG Updates

Version 1.5.0 placeholder

* Boost deps fix for test suite

---------

Co-authored-by: Snehaa Giridharan <snehaa@multicorewareinc.com>
Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
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Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>
Co-authored-by: Kiriti Gowda <kiritigowda@gmail.com>

* Documentation - Readme & changelog updates (#251)

* readme and changelog updates for 6.0

* minor update

* added ctests for audio test suite for CI

made changes to add more clarity on the QA Tests results

* Cmake mods for ctest

* HOST-only build error bugfix

* added qa mode paramter to python audio script

added golden output map for QA testing of Non silent region detection

* minor change

* Documentation - Bump rocm-docs-core[api_reference] from 0.26.0 to 0.27.0 in /docs/sphinx (#253)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.26.0 to 0.27.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.26.0...v0.27.0)

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* RPP Resize Mirror Normalize Bugfix (#252)

* added fix for hipMemset

* remove pixel check for U8-F32 and U8-F16 for HOST codes

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>

* added example for MMS calculation in comments for better understanding

* Sphinx - updates (#257)

* Sphinx - updates

* Doxygen - Updates

* Docs - Remove index.md

* updated info used to for running audio test suite

* removed bitdepth variable from audio test suite

* added more information on computing NSR outputs in the example added

* Fix doxygen for decibels

Also removes extra QA reference files

* move tensor_host_audio.cpp to host folder

* Fix build errors and qa tests in Audio Test suite

* Fix build errors and qa tests in Audio Test suite

* Add reference output and test samples for downmix

* Add down_mix in augmentation list and supported cases

* Remove auto-merge repeated funcs

* Improve clarity of header docs

* Remove blank line

* Improve clarity on header docs

* Add Doxygen comments

* minor change

* converted golden outputs to binary file for downmixing

* removed old golden output file for preemphasis and todecibels

* modified info for downmixing as per new changes

used handle memory for temporary buffers

* formatting changes

* moved the common code for SSE and AVX to outside

* Update down_mixing.hpp license

* Update rppt_tensor_audio_augmentations.h

* combined the srcLength and channels tensors into single tensor

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* RPP Voxel 3D Tensor Multiply scalar on HOST and HIP (#306)

* added HIP support for voxel scalar multiply kernel

* added HOST support for voxel multiply kernel

added golden outputs for voxel multiply kernel

* merge with master

* RPP Test Suite Upgrade 4 - CSV to BIN conversions for file size reduction (#293)

* change golden outputs from .csv files to .bin files

* Changed comparision funtions to use .bin files

* Address review comments

* minor change

* Address review comments

* minor change

---------

Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* converted multiply scalar voxel golden outputs to bin files

* changed copyright from 2023 to 2024

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Test Suite Bugfix (#307)

* experimental changes for adding qa mode for performance tests

* made changes to add display more information w.r.t QA results summary for performance tests

* minor changes

* Add changes to dump qa results to excel file

* Add performance QA for three new tensor functions

* update prerequisites in readme

* added changes to handle unsupported cases

* removed treshold dictionary and added performance Noise treshold
add new dataset for performance QA

* RPP Test Suite Upgrade 4 - CSV to BIN conversions for file size reduction (#293)

* change golden outputs from .csv files to .bin files

* Changed comparision funtions to use .bin files

* Address review comments

* minor change

* Address review comments

* minor change

---------

Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Changes to the performane summary dataframe

* minor changes

* Update CMakeLists.txt to add ${CMAKE_CURRENT_SOURCE_DIR} for CI

* Update CMakeLists.txt fix

* Update CMakeLists.txt fix

* remove tabulate dependency

* Update README.md to remove tabulate pip install

* Fix for CI machine failure

* Add note on performance

* Fix segmentation fault

* Revert QAmode to restrict HIP bitdepths

* Use Rpp64u for HOST while comparing outputs

* Fix ambiguous abs call

* Fix for SLES CI HIP fail - error: incompatible pointer types assigning to 'unsigned long *' from 'unsigned long long *' - refOutput = TensorSumReferenceOutputs[numChannels].data();

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>
Co-authored-by: Snehaa Giridharan <snehaa@multicorewareinc.com>
Co-authored-by: Pavel Tcherniaev <Pavel.Tcherniaev@amd.com>

* Update rppt_tensor_arithmetic_operations.h

* Update rppt_tensor_arithmetic_operations.h

* Bump rocm-docs-core[api_reference] from 0.34.2 to 0.35.0 in /docs/sphinx (#313)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.34.2 to 0.35.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.34.2...v0.35.0)

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* RPP Reduction - Tensor min and Tensor max on HOST and HIP (#260)

* Minor Change

* Add Validation check for DST_FOLDER path

* added water HOST and HIP codes

* added water case in test suite

* added golden outputs for water

* Add Validation checks for all options in testAllScript.sh

* Add sanity check for dual Input cases
Set Max Dimension and Max Image Dump
Replaced Fast DCT tag with Accurate DCT

* Regenerate golden outputs using accurate dct Flag
Add golden outputs for some new augmentations

* Fix Flip golden outputs mismatch
Fix PLN3 variants mismatch in QA mode

* Add MAX_BATCH_SIZE check
removed Augmentations function calls for failing Qa modes
code cleanup

* Add crop and gamma correction augmentations
code cleanup

* Add comments to functions in rpp_test_suite_common.h

* minor change

* code cleanup

* minor code changes

* Change roi and Image sizes for crop augmentation

* Change numIterations option to numRuns
Addressed PR comments

* added omp thread changes for water augmentation

* experimental changes

* fixed output issue with AVX2 instructions

* added AVX2 support for PKD3 load function

minor changes in PLN variant load functions

* Add turboJpeg header to update maxHeight and maxWidth values

* nwc commit - added avx2 changes for u8 layout toggle variants but need to add store functions for completion

* Change the performance Timings logic

* Add Avx2 implementation for F32 and U8 toggle variants

* minor change to support u8_f16 and u8_f32 cases

* Regenerate LUT golden outputs with ACCURATE_DCT tag

* Minor code changes

* Add AVX2 support for u8 pkd3-pln3 and i8 pkd3-pln3 for water augmentation

* Made changes to the runTests.py in Host to remove testAllScipts.sh

* Made changes to the runTests.py in HIP to remove testAllScipts.sh

* Initial commit - Image min and max Reduction kernel

Includes
* u8 datatype for both min and max HOST Tensor of all variants.
* Testsuite changes.

* NWC -initial code for min max PLN3 - PLN3

* made changes to split min and max kernels seperately

* splitted kernels for min and max

* made changes to print final max/min in the R,G,B channels

* fixed inaccuracies in min/max computation

* made changes to typecast intermediate output to output requested by user

added comments for the code

code cleanup and minor changes in test suite

* fixed build issues

removed image folders used for min, max and sum

reverted unwanted file changes

* minor changes in test suite

* removed support for unwanted test case in Tensor_hip.cpp

* Adds new option roi

* remove testAllScripts.sh

* Adds roi Option in HIP backend

* Implement f32 variants

* Implement f16 and i8 datatype variants

* change F32 load and store logic

* Add build flags in CMakeLists.txt to set AVX/SSE flags based on the system configuration

* minor code changes

* Initial commit - Image sum Reduction kernel

Includes u8 PLN1 -> PLN1 conversion for HOST Tensor

* Implement PKD3 and PLN3 for Image sum Tensor HOST

* Support i8, f16 and f32 datatypes

* Initial commit - Image sum Reduction HIP kernel

Includes u8 PLN1 -> PLN1 conversion for Tensor

* Implement PKD3 and PLN3 for Image sum Tensor HIP

* Add support in testsuite

Revert normalization for i8 HOST Tensor variants

* Fix HIP testsuite

Remove additional blanks for 1 channel output

* Modify print statement in HIP testsuite

* Improve readability for testsuite outputs

* optimized the store function for F32 PLN3-PKD3

* reverted back irrelevant changes

* minor change

* Fix HIP to support larger inputs

* optimized load and store functions for water U8 and F32 variants in host

removed commented code

* Cleanup

* removed golden outputs for water

* minor changes

* Cleanup

Support Reduction QA test in testsuite

* renamed few functions and removed unused functions

updated i8 pln1 load as per the optimized u8 pln1 load

* fixed bug in i8 load function

* Remove unused variables and C style casting

* changed cast to c++ style

resolved spacing issues and added comments for AVX codes for better understanding

made changes to handle cases where QA Tests are not supported

* added golden outputs for water

* updated golden outputs with latest changes

* modified the u8, i8 pkd3-pln3 function and added comments for the vectorized code

* fixed minor bug in I8 variants

* Optimize u8 datatype further

* Fix static_cast

* made to changes to resolve codacy warnings

* changed cast to c++ style in hip kernel

* Initial commit - Ricap HOST Tensor

Includes testsuite changes

* Add QA tests for RICAP

Used three_images_224x224_src1 folder to create golden outputs

* Add three_images_224x224_src1 into TEST_IMAGES

* added rotate case with golden outputs

changed generic bilinear HOST codes to match with HIP codes

* Add golden output for remaining all tensor augmentations

* fix python script issues

* Optimize u8 and i8 datatype

Uses uint and int internal processing instead of float

* Fix testsuite build errors

* minor change

* Fix QA check

* Modify api naming from image_sum to tensor_sum

Includes changes for both HOST and HIP

* Support HIP Backend for RICAP

* change rcm and rmn golden outputs

* Fix HIP pkd3->pkd3 variant

* changes based on review comments

* change test_suite folder to tests

* Optimize u8 and i8 datatype of HIP

Includes modification in naming of shared memory

* minor fix

* changed generic nn F32 loads using gather and setr instructions

* Optimize and cleanup U8 HIP

* regenerated golden outputs for RICAP

minor changes in HOST shell script for handling RICAP in QA mode

* minor bug fix in RICAP HIP kernels

* Fix i8 datatype variants

Includes cleanup

* Fix the issues with color_to_greyscale

* remove the empty folder creation

* reverting back the folder name change

* minor change

* added comments for latest changes

* minor change

* Improve readability and Cleanup

* Fix QA for HIP

Includes cleanup

* resolved review comments

* minor change

* Modify api naming from image_ to tensor_ for HOST

* Add support for QA tests

* removed range check for RMN U8-F32 and U8-F16 variants

changed from hipMemset to hipMemsetAsync for RMN HIP Kernel

removed multiplication by 255 for stdDev in RMN HOST U8-F16 and U8-F32 variants

* Modify naming of shared memory with _smem in HIP

Includes cleanup

* Typecast and reuse markArr for HIP U8 and I8

* Cleanup and minor optimization

* minor fix

* fix codacy warnings

* Additional cleanup

* Cleanup and move #define

* Changed the complexity of if statements in runTests.py

* Cleanup testsuite

Includes new golden outputs

* Additional testuite fixes

* Minor cleanup

* Codacy fixes

* Fix codacy warnings

* Codacy fix

* Address other codacy warnings

* cleanup

* Change Image functions to generic

* Update ricap.hpp with reference paper

* resolved minor issues happened with merge

* minor changes

* fixed minor issue with getting profiler times

* minor formatting changes

* resolved build issues in test suite

renamed the min and max kernel file names

* RPP RICAP Tensor for HOST and HIP (#213)

* Initial commit - Ricap HOST Tensor

Includes testsuite changes

* Add QA tests for RICAP

Used three_images_224x224_src1 folder to create golden outputs

* Add three_images_224x224_src1 into TEST_IMAGES

* Support HIP Backend for RICAP

* Fix HIP pkd3->pkd3 variant

* regenerated golden outputs for RICAP

minor changes in HOST shell script for handling RICAP in QA mode

* minor bug fix in RICAP HIP kernels

* Improve readability and Cleanup

* Additional cleanup

* Cleanup testsuite

Includes new golden outputs

* Additional testuite fixes

* Minor cleanup

* Fix codacy warnings

* Address other codacy warnings

* Update ricap.hpp with reference paper

* Add RICAP dataset path in readme

* Make changes to error codes returned

* Modify roi crop region for unit and perf tests

* RPP Tensor Water Augmentation on HOST and HIP (#181)

* added water HOST and HIP codes

* added water case in test suite

* added golden outputs for water

* added omp thread changes for water augmentation

* experimental changes

* fixed output issue with AVX2 instructions

* added AVX2 support for PKD3 load function

minor changes in PLN variant load functions

* nwc commit - added avx2 changes for u8 layout toggle variants but need to add store functions for completion

* Add Avx2 implementation for F32 and U8 toggle variants

* Add AVX2 support for u8 pkd3-pln3 and i8 pkd3-pln3 for water augmentation

* change F32 load and store logic

* optimized the store function for F32 PLN3-PKD3

* reverted back irrelevant changes

* minor change

* optimized load and store functions for water U8 and F32 variants in host

removed commented code

* removed golden outputs for water

* minor changes

* renamed few functions and removed unused functions

updated i8 pln1 load as per the optimized u8 pln1 load

* fixed bug in i8 load function

* changed cast to c++ style

resolved spacing issues and added comments for AVX codes for better understanding

made changes to handle cases where QA Tests are not supported

* added golden outputs for water

* updated golden outputs with latest changes

* modified the u8, i8 pkd3-pln3 function and added comments for the vectorized code

* fixed minor bug in I8 variants

* made to changes to resolve codacy warnings

* changed cast to c++ style in hip kernel

* changed generic nn F32 loads using gather and setr instructions

* added comments for latest changes

* minor change

* added definition for storing 32 and 64 bits from a 128bit register

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Fix build error

* CMakeLists - Version Update

1.5.0 - TOT Version

* CHANGELOG Updates

Version 1.5.0 placeholder

* Boost deps fix for test suite

---------

Co-authored-by: Snehaa Giridharan <snehaa@multicorewareinc.com>
Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: Snehaa-Giridharan <118163708+snehaa8@users.noreply.github.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>
Co-authored-by: Kiriti Gowda <kiritigowda@gmail.com>

* Documentation - Readme & changelog updates (#251)

* readme and changelog updates for 6.0

* minor update

* Documentation - Bump rocm-docs-core[api_reference] from 0.26.0 to 0.27.0 in /docs/sphinx (#253)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.26.0 to 0.27.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.26.0...v0.27.0)

---
updated-dependencies:
- dependency-name: rocm-docs-core[api_reference]
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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* RPP Resize Mirror Normalize Bugfix (#252)

* added fix for hipMemset

* remove pixel check for U8-F32 and U8-F16 for HOST codes

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>

* Cmake fix to prevent warning

* Fix paths in new python scripts

* Sphinx - updates (#257)

* Sphinx - updates

* Doxygen - Updates

* Docs - Remove index.md

* Test suite fixes after tensor_min / tensor_max HOST merge

* Fix max case

* QA tests fix for hip and host

* naming convention changes as per new std

* Substitute imagePartial with partial

* Substitute imageMin/imageMax with min/max

* Replace hipMemset with hipMemsetAsync, and replace hipDeviceSynchronize with hipStreamSynchronize

* Use variable instead of batchCount*4

* Use post increment effectivly

* Resolve codacy warnings

* Additional cleanup

* remove unused variable

* Documentation - Bump rocm-docs-core[api_reference] from 0.28.0 to 0.29.0 in /docs/sphinx (#265)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.28.0 to 0.29.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.28.0...v0.29.0)

---
updated-dependencies:
- dependency-name: rocm-docs-core[api_reference]
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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* Remove auto merge boost

* Spaces formatting

* Bump rocm-docs-core[api_reference] from 0.29.0 to 0.30.1 in /docs/sphinx (#268)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.29.0 to 0.30.1.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.29.0...v0.30.1)

---
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- dependency-name: rocm-docs-core[api_reference]
  dependency-type: direct:production
  update-type: version-update:semver-minor
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* add support for mi300 (#269)

* Documentation - Bump rocm-docs-core[api_reference] from 0.30.1 to 0.30.2 in /docs/sphinx (#273)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.30.1 to 0.30.2.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.30.1...v0.30.2)

---
updated-dependencies:
- dependency-name: rocm-docs-core[api_reference]
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Cleanup by removing oneliner functions as inline

* RPP Tensor Audio Support - To Decibels (#258)

* Initial commit - Non slient region detection

Includes unittest setup

* Initial commit - To Decibels

Includes unittest setup

* Replace vectors with arrays

* Cleanup

* Replace Rpp64s with Rpp32s

* Optimize and precompute cutOff

* Fix buffer used

* Fix buffer used

* Additional Cleanup

* Update testsuite for Audio

* code cleanup

* Add Readme file for Audio test suite

* changes based on review comments

* minor change

* Remove unittest folders and updated README.md

* Remove unit tests

* minor change

* code cleanup

* added common header file for audio helper functions

* removed unncessary audio wav files

fixed bug in ROI updation for audio test suite

resolved issue in summary generation for performance tests in python

* removed log file

* added doxygen support for audio

* added doxygen changes for to_decibels

* updated test suite support for to_decibels

* minor change

* removed the usage of getMax function and used std::max_element

* modularized code in test suite

* merge with latest changes

* minor change

* minor change

* resolved codacy warnings

* Codacy fix - Remove unused cpuTime

* CMakeLists - Version Update

1.5.0 - TOT Version

* CHANGELOG Updates

Version 1.5.0 placeholder

* resolved issue with file_system dependency in test suite

* Doxygen changes

changed malloc to new in NSR kernel

* RPP RICAP Tensor for HOST and HIP (#213)

* Initial commit - Ricap HOST Tensor

Includes testsuite changes

* Add QA tests for RICAP

Used three_images_224x224_src1 folder to create golden outputs

* Add three_images_224x224_src1 into TEST_IMAGES

* Support HIP Backend for RICAP

* Fix HIP pkd3->pkd3 variant

* regenerated golden outputs for RICAP

minor changes in HOST shell script for handling RICAP in QA mode

* minor bug fix in RICAP HIP kernels

* Improve readability and Cleanup

* Additional cleanup

* Cleanup testsuite

Includes new golden outputs

* Additional testuite fixes

* Minor cleanup

* Fix codacy warnings

* Address other codacy warnings

* Update ricap.hpp with reference paper

* Add RICAP dataset path in readme

* Make changes to error codes returned

* Modify roi crop region for unit and perf tests

* RPP Tensor Water Augmentation on HOST and HIP (#181)

* added water HOST and HIP codes

* added water case in test suite

* added golden outputs for water

* added omp thread changes for water augmentation

* experimental changes

* fixed output issue with AVX2 instructions

* added AVX2 support for PKD3 load function

minor changes in PLN variant load functions

* nwc commit - added avx2 changes for u8 layout toggle variants but need to add store functions for completion

* Add Avx2 implementation for F32 and U8 toggle variants

* Add AVX2 support for u8 pkd3-pln3 and i8 pkd3-pln3 for water augmentation

* change F32 load and store logic

* optimized the store function for F32 PLN3-PKD3

* reverted back irrelevant changes

* minor change

* optimized load and store functions for water U8 and F32 variants in host

removed commented code

* removed golden outputs for water

* minor changes

* renamed few functions and removed unused functions

updated i8 pln1 load as per the optimized u8 pln1 load

* fixed bug in i8 load function

* changed cast to c++ style

resolved spacing issues and added comments for AVX codes for better understanding

made changes to handle cases where QA Tests are not supported

* added golden outputs for water

* updated golden outputs with latest changes

* modified the u8, i8 pkd3-pln3 function and added comments for the vectorized code

* fixed minor bug in I8 variants

* made to changes to resolve codacy warnings

* changed cast to c++ style in hip kernel

* changed generic nn F32 loads using gather and setr instructions

* added comments for latest changes

* minor change

* added definition for storing 32 and 64 bits from a 128bit register

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Fix build error

* CMakeLists - Version Update

1.5.0 - TOT Version

* CHANGELOG Updates

Version 1.5.0 placeholder

* Boost deps fix for test suite

---------

Co-authored-by: Snehaa Giridharan <snehaa@multicorewareinc.com>
Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: Snehaa-Giridharan <118163708+snehaa8@users.noreply.github.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>
Co-authored-by: Kiriti Gowda <kiritigowda@gmail.com>

* Documentation - Readme & changelog updates (#251)

* readme and changelog updates for 6.0

* minor update

* added ctests for audio test suite for CI

made changes to add more clarity on the QA Tests results

* Cmake mods for ctest

* HOST-only build error bugfix

* added qa mode paramter to python audio script

added golden output map for QA testing of Non silent region detection

* minor change

* Documentation - Bump rocm-docs-core[api_reference] from 0.26.0 to 0.27.0 in /docs/sphinx (#253)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.26.0 to 0.27.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.26.0...v0.27.0)

---
updated-dependencies:
- dependency-name: rocm-docs-core[api_reference]
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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* RPP Resize Mirror Normalize Bugfix (#252)

* added fix for hipMemset

* remove pixel check for U8-F32 and U8-F16 for HOST codes

---------

Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>

* added example for MMS calculation in comments for better understanding

* Sphinx - updates (#257)

* Sphinx - updates

* Doxygen - Updates

* Docs - Remove index.md

* updated info used to for running audio test suite

* removed bitdepth variable from audio test suite

* added more information on computing NSR outputs in the example added

* Fix doxygen for decibels

Also removes extra QA reference files

* Fix build errors and qa tests in Audio Test suite

* Remove auto-merge repeated funcs

* Improve clarity on header docs

* made changes based on review comments

* stored golden outputs of to_decibels in binary file

removed golden output text files for non silent region

* removed unused parameter in verify_output function

* updated list of cases supported in python script

* added error handling for opening golden output file

* Codacy fix and tests warning fix

* Codacy fix

* Codacy fix trial

* codacy fix for checking boundaries of fstream

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Snehaa Giridharan <snehaa@multicorewareinc.com>
Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>
Co-authored-by: sampath1117 <sampath.rachumallu@multicorewareinc.com>
Co-authored-by: Kiriti Gowda <kiritigowda@gmail.com>
Co-authored-by: Snehaa-Giridharan <118163708+snehaa8@users.noreply.github.com>
Co-authored-by: Lisa <lisajdelaney@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Documentation - Bump rocm-docs-core[api_reference] from 0.30.2 to 0.30.3 in /docs/sphinx (#274)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.30.2 to 0.30.3.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.30.2...v0.30.3)

---
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- dependency-name: rocm-docs-core[api_reference]
  dependency-type: direct:production
  update-type: version-update:semver-patch
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* Adding issue template (#270)

* Add files via upload

* added ROCm v6, MI300, default component

* Fix cast used in testsuite

Includes minor fixes

* Fix displaying f16 outputs

* Optimize HOST min/max reduce function further

* Fix spacing in HIP kernels

* Fix PLN1 outputs for u8 and i8 datatypes of HOST backend

* RPP Test Suite Upgrade 4 - CSV to BIN conversions for file size reduction (#293)

* change golden outputs from .csv files to .bin files

* Changed comparision funtions to use .bin files

* Address review comments

* minor change

* Address review comments

* minor change

---------

Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>

* Bump rocm-docs-core[api_reference] from 0.31.0 to 0.33.0 in /docs/sphinx (#294)

Bumps [rocm-docs-core[api_reference]](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.31.0 to 0.33.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.31.0...v0.33.0)

---
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- dependency-name: rocm-docs-core[api_reference]
  dependency-type: direct:production
  update-type: version-update:semver-minor
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* Store reference outputs via map for min and max kernels

* Update tensor_max.hpp license

* Update tensor_min.hpp license

* Fix output comparison check

* Merge branch 'ar/opt_tensor_min_tensor_max' of https://github.com/r-abishek/rpp into sn/tensor_min_max

* Modify exit condition used in outer most kernel

* Modify srcIdx for HIP Tensor min

* Using maximum as 255 for HIP Tensor min

* Modify srcIdx for HIP Tensor max kernel

Also fixes build error in testsuite

* Fix corrupted outputs displayed for Tensor sum

* Fix corruption issue seen with tensor sum kernel

* Fix minimum for I8 Tensor max kernel

* Modified HIP buffer initialization with a common function

* Fix redefinition

* Remove additional variables xAlignedLength

* Remove unwanted xAlignedLength and xDiff

* Remove redefinition of TensorSumReferenceOutputs

* Fix for CI issue

* Add parenthesis

---------

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Co-authored-by: HazarathKumarM <hazarathkumar@multicorewareinc.com>
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Co-authored-by: Snehaa Giridharan <snehaa@multicorewareinc.com>
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* CI - Update precheckin.groovy

* Move bitwise operations into under logical ops

* Fix doxygen comments

* Merge with master

* Cleanup

* Revert change in CMakeLists.txt

* Add docs outputs

* Cleanup

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Co-authored-by: Lisa <lisajdelaney@gmail.com>
Co-authored-by: Sundarrajan98 <sundarrajan@multicorewareinc.com>
Co-authored-by: Pavel Tcherniaev <Pavel.Tcherniaev@amd.com>
Co-authored-by: fiona-gladwin <fionagladwin@multicorewareinc.com>
Co-authored-by: Lakshmi Kumar <lakshmi.kumar@amd.com>
Co-authored-by: abhimeda <138710508+abhimeda@users.noreply.github.com>
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5 changes: 3 additions & 2 deletions .Doxyfile
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Expand Up @@ -967,8 +967,9 @@ INPUT = README.md \
include/rppt_tensor_geometric_augmentations.h \
include/rppt_tensor_morphological_operations.h \
include/rppt_tensor_statistical_operations.h \
include/rppt_tensor_arithmetic_operations.h
include/rppt_tensor_audio_augmentations.h
include/rppt_tensor_arithmetic_operations.h \
include/rppt_tensor_audio_augmentations.h \
include/rppt_tensor_logical_operations.h


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3 changes: 2 additions & 1 deletion docs/doxygen/Doxyfile
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Expand Up @@ -966,7 +966,8 @@ INPUT = ../../README.md \
../../include/rppt_tensor_filter_augmentations.h \
../../include/rppt_tensor_geometric_augmentations.h \
../../include/rppt_tensor_morphological_operations.h \
../../include/rppt_tensor_statistical_operations.h
../../include/rppt_tensor_statistical_operations.h \
../../include/rppt_tensor_logical_operations.h


# This tag can be used to specify the character encoding of the source files
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15 changes: 12 additions & 3 deletions include/rppdefs.h
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Expand Up @@ -311,7 +311,7 @@ typedef struct
int y;
} RppiPoint;

/*! \brief RPPI Image 2D Rectangle (XYWH format) type struct
/*! \brief RPPI Image 3D point type struct
* \ingroup group_rppdefs
*/
typedef struct
Expand All @@ -321,6 +321,9 @@ typedef struct
int z;
} RppiPoint3D;

/*! \brief RPPI Image 2D Rectangle (XYWH format) type struct
* \ingroup group_rppdefs
*/
typedef struct
{
int x;
Expand Down Expand Up @@ -373,7 +376,7 @@ typedef enum
XYWH // X-Y-Width-Height
} RpptRoiType;

/*! \brief RPPT Tensor subpixel layout type enum
/*! \brief RPPT Tensor 3D ROI type enum
* \ingroup group_rppdefs
*/
typedef enum
Expand All @@ -382,6 +385,9 @@ typedef enum
XYZWHD // X-Y-Z-Width-Height-Depth
} RpptRoi3DType;

/*! \brief RPPT Tensor subpixel layout type enum
* \ingroup group_rppdefs
*/
typedef enum
{
RGBtype,
Expand Down Expand Up @@ -493,7 +499,7 @@ typedef struct
RpptLayout layout;
} RpptDesc, *RpptDescPtr;

/*! \brief RPPT Tensor 8-bit uchar RGB type struct
/*! \brief RPPT Tensor Generic descriptor type struct
* \ingroup group_rppdefs
*/
typedef struct
Expand All @@ -506,6 +512,9 @@ typedef struct
RpptLayout layout;
} RpptGenericDesc, *RpptGenericDescPtr;

/*! \brief RPPT Tensor 8-bit uchar RGB type struct
* \ingroup group_rppdefs
*/
typedef struct
{
Rpp8u R;
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1 change: 1 addition & 0 deletions include/rppt.h
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Expand Up @@ -46,6 +46,7 @@ extern "C" {
#include "rppt_tensor_arithmetic_operations.h"
#include "rppt_tensor_statistical_operations.h"
#include "rppt_tensor_audio_augmentations.h"
#include "rppt_tensor_logical_operations.h"

#ifdef __cplusplus
}
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14 changes: 7 additions & 7 deletions include/rppt_tensor_arithmetic_operations.h
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Expand Up @@ -244,21 +244,21 @@ RppStatus rppt_multiply_scalar_gpu(RppPtr_t srcPtr, RpptGenericDescPtr srcGeneri
RppStatus rppt_magnitude_host(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);

#ifdef GPU_SUPPORT
/*! \brief Magnitude computation on HOST backend for a NCHW/NHWC layout tensor
/*! \brief Magnitude computation on HIP backend for a NCHW/NHWC layout tensor
* \details This function computes magnitude of corresponding pixels 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. <br>
* \image html img150x150.png Sample Input1
* \image html img150x150_2.png Sample Input2
* \image html arithmetic_operations_magnitude_img150x150.png Sample Output
* \param [in] srcPtr1 source1 tensor in HOST memory
* \param [in] srcPtr2 source2 tensor in HOST memory
* \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 HOST memory
* \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 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] 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 HOST handle created with <tt>\ref rppCreateWithStreamAndBatchSize()</tt>
* \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.
Expand All @@ -272,4 +272,4 @@ RppStatus rppt_magnitude_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr src
#ifdef __cplusplus
}
#endif
#endif // RPPT_TENSOR_ARITHMETIC_OPERATIONS_H
#endif // RPPT_TENSOR_ARITHMETIC_OPERATIONS_H
139 changes: 139 additions & 0 deletions include/rppt_tensor_logical_operations.h
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@@ -0,0 +1,139 @@
/*
MIT License
Copyright (c) 2019 - 2024 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 RPPT_TENSOR_LOGICAL_OPERATIONS_H
#define RPPT_TENSOR_LOGICAL_OPERATIONS_H

#include "rpp.h"
#include "rppdefs.h"
#ifdef __cplusplus
extern "C" {
#endif

/*!
* \file
* \brief RPPT Tensor Operations - Logical Operations.
* \defgroup group_tensor_logical_operations RPPT Tensor Operations - Logical Operations.
* \brief RPPT Tensor Operations - Logical Operations.
*/

/*! \addtogroup group_rppt_tensor_logical_operations
* @{
*/

/*! \brief Bitwise AND computation on HOST backend for a NCHW/NHWC layout tensor
* \details This function computes bitwise AND of corresponding pixels 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.png Sample Input1
* \image html img150x150_2.png Sample Input2
* \image html logical_operations_bitwise_and_img150x150.png 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] 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_bitwise_and_host(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);

#ifdef GPU_SUPPORT
/*! \brief Bitwise AND computation on HIP backend for a NCHW/NHWC layout tensor
* \details This function computes bitwise AND of corresponding pixels 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.png Sample Input1
* \image html img150x150_2.png Sample Input2
* \image html logical_operations_bitwise_and_img150x150.png 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] 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_bitwise_and_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
#endif // GPU_SUPPORT

/*! \brief Bitwise OR computation on HOST backend for a NCHW/NHWC layout tensor
* \details This function computes bitwise OR of corresponding pixels 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.png Sample Input1
* \image html img150x150_2.png Sample Input2
* \image html logical_operations_bitwise_or_img150x150.png 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] 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_bitwise_or_host(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);

#ifdef GPU_SUPPORT
/*! \brief Bitwise OR computation on HIP backend for a NCHW/NHWC layout tensor
* \details This function computes bitwise OR of corresponding pixels 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.png Sample Input1
* \image html img150x150_2.png Sample Input2
* \image html logical_operations_bitwise_or_img150x150.png 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] 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_bitwise_or_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle);
#endif // GPU_SUPPORT

/*! @}
*/

#ifdef __cplusplus
}
#endif
#endif // RPPT_TENSOR_LOGICAL_OPERATIONS_H
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