* Add elementwise operation kernel and example
* Add comment
* Add template argument of dim . Prepare to support multiple dimension
* Rename example
* Support 1 dimension
* Add static assert
* Add comment
* Extract pad
* Remove redundant argument
* Support any dimension for elementwise operation
* Remove line
* Let it be the multiple number of CU
* Move thread per block to the parameter of constructor
* rename threadPerBlock with blockSize
* Support double
* rename kernel function name
* remove redundant include header
* Refine type
* Need to the final dimension
* Refine variable name
* Refine type
* Use index_t instead of int in API
Co-authored-by: rocking <chunylai@amd.com>
[ROCm/composable_kernel commit: aafc3ac27a]
* manual control of MAC cluster for improved 2-wave performance
ensure setprio's order; ensure inner loop size >= local read size
synchronize when single mac cluster
* format
* use value field from ck::integral_constant
* roll out inter-wave loop scheduler to c-shuffle gemm variants
will gradually roll out to other applicable device ops when occasional reg spill is resolved
* additional comments
* format
* fix mismatch between inter-wave pipeline and interwave blockwise gemm
* address review feedback
* amend
[ROCm/composable_kernel commit: 76764d8c92]
* [Experimental] Change to gemm+reduce and batched-gemm+reduce
* Use threadwise-reduce function to improve the gridwise_gemm_reduce_xdl_cshuffle kernel
* Tiny fix in device_batched_gemm_xdl.hpp
* clang-format library/src/utility/conv_fwd_util.cpp
[ROCm/composable_kernel commit: c77ae65d40]
* compile ck for all targets
* update the target criteria
* change the target condition
* fixed some typos
* fixed missed file
* revert changes in README
* revert device_conv3d_fwd_xdl_...
* update device_conv3d_fwd_xdl_...
* update device_batched_gemm_reduce...
* test the unused arguments fix
* test the warning suppression
* try suppress warnings in device_batched_gemm_reduce_xdl...
* fix the last warnings
* replace UNUSED with std::ignore
* fix a typo
* replaced std::ignore with ignore
* add igonre header to common_header
* refactor atomicAdd
Co-authored-by: Chao Liu <chao.liu2@amd.com>
[ROCm/composable_kernel commit: 4221505d3e]
* Add ThreadwiseReduction functor as per-thread reduction api
* Using ThreadwiseReduce api and some change in using PartitionedBlockwiseReduction api to simply the kernels
* Add comments and remove useless declarations in the kernels
* Tiny updates
[ROCm/composable_kernel commit: 82c8b9f8ee]
* Use thread cluster descriptor and explicit M_K 2d descriptor to simply Blockwise Reduction
* Change by replacing ReduceDims by NumReduceDims as Device Reduce interface template parameter
* Rename the folder name for the pool2d and reduce examples
* Update to reduction test scripts
* Add Readme for pool2d_fwd and reduce_blockwise examples
* Add support for int8_t reduction (ADD/AVG, MIN/MAX/AMAX)
* Tiny fix in reduce profiler and tiny update in reduce testing scripts
* Tiny fix in testing script profile_reduce_no_index.sh
* Tiny fix in testing script profile_reduce_no_index.sh
* Add support for bfp16 reduction (using bhalf_t = ushort)
* Tiny fix in amd_buffer_addressing.hpp
* Tiny change in script/profile_reduce_with_index.sh
* Use AccDataType for Beta value and use element_wise::PassThrough
* Use type_convert for type converting in host layer reduction
* Renaming and refining in Reduction profiler/device layer/examples
* Renaming and refining in Reduction profiler/device layer/examples
* Renaming all NumReduceDims to NumReduceDim
* Fix the leaked type_convert in ThreadwiseTensorSliceTransfer_v2
* Update to testing scripts to add bf16 support
* added more static_assert
* Remove buggy tunable configurations defined in device_reduce_instance_xxx.hpp
* Add static_assert to give compile-time warning for incorrect thread slice-size/vector-size configurations
* minor change
* Refine and fix (in GetWorkspaceSizeInBytes of MultiBlockPartialReduce) to make int8 completely pass
* Tiny renaming in gridwise_2d_reduction_multiblock_partial_reduce.hpp
* Tiny fix in script/profile_reduce_no_index.sh
* Refine in DeviceReduce layer with regard to using NumInvariantDim/NumReduceDim or InvariantDims/ReduceDims
* Generic renaming in host reduction and DeviceReduce layer
* Add support for 4-d all dimension reduction in the profiler and add_device_reduce_xxx instances
* Use multi-thread and simplification for host Reduction implementation
* Add ctest for reduction
* Update to clarify the using of data init method in produce_reduce/example_reduce/test_reduce/
* Update to the reduce CTest executables to enable default testing behavior when no command argument
* Renaming
Co-authored-by: Jianfeng yan <jfyan008@gmail.com>
[ROCm/composable_kernel commit: 9a8ee8a39a]
changed long_index_t to index_t when computing memory offset
uncomment other ops in profiler
added test for batched_gemm
[ROCm/composable_kernel commit: cb87b049de]
* Use thread cluster descriptor and explicit M_K 2d descriptor to simply Blockwise Reduction
* Change by replacing ReduceDims by NumReduceDims as Device Reduce interface template parameter
* Rename the folder name for the pool2d and reduce examples
* Update to reduction test scripts
* Add Readme for pool2d_fwd and reduce_blockwise examples
* Tiny fix in reduce profiler and tiny update in reduce testing scripts
* Tiny fix in testing script profile_reduce_no_index.sh
* Tiny change in script/profile_reduce_with_index.sh
* Renaming and refining in Reduction profiler/device layer/examples
* Renaming and refining in Reduction profiler/device layer/examples
* Renaming all NumReduceDims to NumReduceDim
[ROCm/composable_kernel commit: 827301d95a]
