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https://github.com/ROCm/composable_kernel.git
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b13f7b1861
* 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: Chao Liu <chao.liu2@amd.com>
[ROCm/composable_kernel commit: e17c0d8008]
56 lines
1.7 KiB
C++
56 lines
1.7 KiB
C++
#ifndef DEVICE_REDUCE_INSTANCE_IMPL_COMMON_HPP
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#define DEVICE_REDUCE_INSTANCE_IMPL_COMMON_HPP
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namespace ck {
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namespace tensor_operation {
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namespace device {
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namespace device_reduce_instance {
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template <int BlockSize, int MThreadClusterSize, int KThreadClusterSize>
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struct ReductionConfiguration_1
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{
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static_assert(BlockSize == MThreadClusterSize * KThreadClusterSize, "Invalid Configuration!");
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static constexpr int BlockSize_ = BlockSize;
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static constexpr int MThreadClusterSize_ = MThreadClusterSize;
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static constexpr int KThreadClusterSize_ = KThreadClusterSize;
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};
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template <int InSrcVectorDim,
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int InSrcVectorSize,
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int OutDstVectorSize,
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int MThreadSliceSize,
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int KThreadSliceSize>
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struct ReductionConfiguration_2
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{
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static constexpr int InSrcVectorDim_ = InSrcVectorDim;
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static constexpr int InSrcVectorSize_ = InSrcVectorSize;
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static constexpr int OutDstVectorSize_ = OutDstVectorSize;
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static constexpr int MThreadSliceSize_ = MThreadSliceSize;
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static constexpr int KThreadSliceSize_ = KThreadSliceSize;
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};
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using reduce_configuration_1_instances = std::tuple<
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// clang-format off
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// BlockSize | MThreadClusterSize | KThreadClusterSize
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ReductionConfiguration_1<256, 128, 2>,
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ReductionConfiguration_1<256, 64, 4>,
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ReductionConfiguration_1<256, 32, 8>,
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ReductionConfiguration_1<256, 16, 16>,
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ReductionConfiguration_1<256, 8, 32>,
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ReductionConfiguration_1<256, 4, 64>,
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ReductionConfiguration_1<256, 2, 128>,
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ReductionConfiguration_1<256, 1, 256>
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// clang-format on
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>;
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#define QUICK_REDUCE_TEST 1
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} // namespace device_reduce_instance
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} // namespace device
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} // namespace tensor_operation
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} // namespace ck
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#endif
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