- 12 May, 2022 1 commit
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JD authored
* Add host API * manually rebase on develop * clean * manually rebase on develop * exclude tests from all target * address review comments * update client app name * fix missing lib name * clang-format update * refactor * refactor * refactor * refactor * refactor * fix test issue * refactor * refactor * refactor * upate cmake and readme Co-authored-by:Chao Liu <chao.liu2@amd.com>
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- 29 Apr, 2022 1 commit
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JD authored
* Add gfx90a CI stage * upgrade to ROCm 5.1 and fix formatting
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- 21 Apr, 2022 1 commit
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JD authored
* Fix clang-format filepath * update docker and fix format
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- 05 Mar, 2022 1 commit
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Qianfeng authored
* Initial adding of generic reduction * Initial adding of generic reduction ... * Updates to make compiling done * clang-format all files * clang-format some files again * Renaming in profiler/include/profile_reduce.hpp * Updates and make BlockWise cases passed * Updates and make ThreadWise and MultiBlockTwoCall cases passed * Remove the support for MUL and NORM1 reduceOp from the profiler and the device instances * Change to replace the dim0_max_vector_size/dim1_max_vector_size template argument in the device reduce classes * format * adding pooling * added max and average pooling * comment out cout and kernel timing * Tiny simplification in profiler/reduce_profiler.cpp * Add example for reduce_blockwise * Tiny updates * Change to pass the ElementWiseOp from device layer to kernel * Fix the vectorDim and vectorSize in Device layer * Enable vector load on both dim0 and dim1 for Threadwise method * Tiny updates * Change to let the user to pass the preUnaryOp and posUnaryOp * Make pooling example work * split device_reduce_instance into two libraries * Tiny update * Replace nanPropaOpt enum by boolean propagate_nan * Simplification in DeviceReduce layer codes * update build * Change to clarify the difference between ck::half_t and half_float::half * Renaming in all the reduction codes * Add VectorSize as template parameter for device layer * Add BetaIsZero as kernel template and as AccDataType for alpha * print * Small updates for pooling * Updates for host_generic_reduction for reference * Update to make AVG pooling pass * Update to make MAX pooling with indices output pass * fix * add OutDst vector store to threadwise reduction and pooling * tweak * turn off check_indices that caused build issue * refactor pooling * clean up * turn off check_indices for building issue for php-compiler * add more tile size for odd C * tweak conv for odd C * update script * clean up elementwise op * add hack in reduction_operator.hpp to avoid compile error. To fix it, need to use element_wise_op in reduction op * Add OutVectorSize as device and kernel tunable, also update to Elementwise Operations * Move reduce operator mapping to host layer file reduction_operator_mapping.hpp from reduction_operator.hpp * Change to the unary operators * Move the definitions of unary operations to element_wise_operation.hpp * re-org files * Refine in device interfaces and multiblock kernels * Split the reduction configurations into instances for specific methods * Update in getTypeString() of device pool2d * Renaming in host and kernel * Tiny update in profiler/src/profiler.cpp * Uncomment in device_operation/CMakeLists.txt to enable the building of all operations * Make check_indices a templated function to remove some linking issue * Renaming in the profiler reduce module * Add support for double Reduction (but disable MultiblockAtomicAdd for double) * Tiny correction of literal string * Rename DevicePoolFwd to DevicePool2dFwd * Split device_reduce_instance_xxx.cpp files according to the data types to speed up compiling * Add comments for lists of configurations, lists of instances and references of add_reduce_instances_xxx * Remove un-used header file gridwise_generic_reduction_wrapper_common.hpp * Renaming and refining in the Reduction codes * Tiny change in the unary operators * Renaming symbols and files * Renaming symbols in the kernels * Move kernel kernel_set_buffer_value to separate file * Add IndexDataType template parameter for kernels and use int32_t as index data type in device layer * Tiny update in the kernels * Remove definition of sqrtf()/isnan()/abs() for half_t due to some ADL issue * Simplify a helper function in device layer * Tiny adjustment in testing data initialization * Renaming in kernel/device/host * Add two testing scripts for reduction * Refine the Unary operators in element_wise_operation.hpp * Update in the reduce profiler module * Update to the reduction testing scripts * reduce compile parallelism * change CI docker to rocm5.0 * remove unused variables * fix build Co-authored-by:
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- 03 Mar, 2022 1 commit
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JD authored
* add docker file and make default target buildable * add Jenkinsfile * remove empty env block * fix package stage * remove render group from docker run * clean up Jenkins file * add cppcheck as dev dependency * update cmake file * Add profiler build stage * add hip_version config file for reduction operator * correct jenkins var name * Build release instead of debug * Update test CMakeLists.txt reorg test dir add test stage * reduce compile threads to prevent compiler crash * add optional debug stage, update second test * remove old test target * fix tests to return proper results and self review * Fix package name and make test run without args * change Dockerfile to ues rocm4.3.1 * remove parallelism from build * Lower paralellism Co-authored-by:
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- 19 Feb, 2022 1 commit
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JD authored
* add docker file and make default target buildable * add Jenkinsfile * remove empty env block * fix package stage * remove render group from docker run * clean up Jenkins file * add cppcheck as dev dependency * update cmake file * Add profiler build stage * add hip_version config file for reduction operator * correct jenkins var name * Build release instead of debug * clean up Co-authored-by:
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