rocm-5.3.0

ROCm release v5.3.0

MIOpen v2.16.0

Notes

• This release includes enhanced support for MI210 and MI250 and various other improvements.

Changes

• This release consists of various bug fixes and performance improvements
• Improved support for Navi21
• Performance improvements via performance database updates
• Fix various issues in convolution kernels specific to certain ASICs
• Fix an accuracy issue in reduction kernels
• Fix an accuracy issue in Batchnormalization kernels

MIOpen v2.14.0

Notes

• This release consists of various bug fixes and performance improvements

Changes

• Improved support for Navi21

• Performance improvements via performance database updates

• Fix various issues in convolution kernels specific to certain ASICs

• Fix an accuracy issue in reduction kernels

• Fix an accuracy issue in Batchnormalization kernels

MIOpen v2.12.0

Notes

• This release includes support for Navi21 and various other bug fixes and performance improvements

Changes

• MIOpen now supports Navi21!! (via MIOpen PRs 973, 780, 764, 740, 739, 677, 660, 653, 493, 498)
• Fixed a correctness issue with ImplicitGemm algorithm
• Updated the performance data for new kernel versions
• Improved MIOpen build time by splitting large kernel header files
• Fixed an issue in reduction kernels for padded tensors
• Various other bug fixes and performance improvements

MIOpen v2.11.0

Notes

• This release contains various bug fixes and performance improvements.

Changes

• Updates for Target ID features in ROCm stack
• Correctness fix in Batchnorm kernels
• Various bug fixes for MIOpenGEMM on the OpenCL backend
• Various bug fixes in 3x3 assembly kernels

MIOpen v2.10.0

Notes

• This release contains new reduction operations, Winograd algorithm performance improvements as well as bug fixes. Various host side performance improvements have been added as well.

Changes

• Added a GPU reference kernel implementation for faster testing.
• Add TargetID support for new AMD GPU architectures.
• Implementation of four additional generic tensor reduction operations (AVG, AMAX, NORM1, NORM2).
• Fixed a bug where Batchnorm would give incorrect results when the product of image height and image width is not a factor of four.
• Various host side improvements for better find and tuning performance.
• Added support for AMD Code Object V4.

MIOpen v2.9.0

Notes:

• This release contains implicit GEMM algorithm performance updates and bug fixes. Additional performance improvements have been implement for batch normalization.

Changes:

• Added new assembly implicit GEMM kernels
• Added batch normalization optimizations
• Fixed issue where miopen-hip backend install would not search for rocBLAS dependency
• Removed missing tunings from previous release cycle
• Removed deprecated implicit GEMM xDLOPs solvers
• Removed incorrect error messages from implicit GEMM solvers
• Disabled ConvAsmBwdWrW3x3 solver for stride > 1 cases
• Disabled bidirectional multi-pass kernels due to stability issues

MIOpen v2.8.0

Notes:

• This release provides additional bug fixes and support for embedded builds using MIOpen as a static library.

Changes:

• Fixed workspace size calculation for GEMM group convolutions
• Fixed performance regression for M/N
• Fixed issue with faulty compiler option
• Fixed typo in components dependency variable in CMakeLists.txt
• Fixed issues with COMgr backed online compilation for HIP kernels
• Added cmake flag for embedding system databases when building a static library
• Added a way to disable building MIOpenDriver when building a static library
• Added CC compiler detection in ROCm environment
• Known issue: This release may show warnings for "obsolete configs" in the performance database. This can be fixed by rerunning tuning on a specific network; see tuning documentation

MIOpen v2.7.0

Notes:

• This release contains a new reduction API; see API documentation for more information. Additional features for embedded builds have been added, and further support for 3D convolutional networks.

Changes:

• Added additional tunings into performance database
• Added general reduction API
• Added cmake flag for embedding binary database into a static MIOpen build
• Added cmake flag for embedding system find-db text files into static MIOpen build
• Fixed issue with GEMM workspace size calculation for backwards data convolutions #381
• Fixed issue with 3D pooling indexing #365

MIOpen v2.6.0

Notes:

• This release contains convolution performance improvements, improved multi-threading behavior, and improved stability for half precision convolutions. Initial iteration time has been reduced with the introduction of hybrid find mode. Builds for a static library have been refined for this release.

Changes:

• Added MIOPEN_FIND_MODE=3 as the new default convolution Find mode; see documentation here for details
• Added a more runtime-parameterized version of pooling to reduce the number of online compilations
• Improved the performance of backwards spatial batch normalization for small images
• Fixed issue with std::logic_error in SQLite deleter #306
• Fixed issues with half precision stability for convolutions
• Fixed issues with multi-threaded SQLite database accesses
• Fixed issues with 3-D convolutions and incorrect parameters
• Fixed various issues with implicit GEMM static assert failures
• Removed inactive implicit GEMM convolution solvers
• Removed SCGEMM convolutional algorithm from MIOpen