mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-17 03:19:48 +00:00
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]
91 lines
1.9 KiB
C++
91 lines
1.9 KiB
C++
#ifndef DEVICE_HPP
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#define DEVICE_HPP
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#include <memory>
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#include <functional>
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#include <thread>
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#include <chrono>
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#include "hip/hip_runtime.h"
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#include "hip/hip_fp16.h"
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struct DeviceMem
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{
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DeviceMem() = delete;
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DeviceMem(std::size_t mem_size);
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void* GetDeviceBuffer();
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void ToDevice(const void* p);
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void FromDevice(void* p);
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~DeviceMem();
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void* mpDeviceBuf;
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std::size_t mMemSize;
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};
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struct KernelTimerImpl;
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struct KernelTimer
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{
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KernelTimer();
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~KernelTimer();
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void Start();
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void End();
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float GetElapsedTime() const;
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std::unique_ptr<KernelTimerImpl> impl;
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};
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using device_stream_t = hipStream_t;
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template <typename... Args, typename F>
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void launch_kernel(F kernel, dim3 grid_dim, dim3 block_dim, std::size_t lds_byte, Args... args)
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{
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hipStream_t stream_id = nullptr;
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hipLaunchKernelGGL(kernel, grid_dim, block_dim, lds_byte, stream_id, args...);
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}
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template <typename... Args, typename F>
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float launch_and_time_kernel(
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F kernel, int nrepeat, dim3 grid_dim, dim3 block_dim, std::size_t lds_byte, Args... args)
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{
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#if 1
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KernelTimer timer;
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printf("%s: grid_dim {%d, %d, %d}, block_dim {%d, %d, %d} \n",
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__func__,
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grid_dim.x,
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grid_dim.y,
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grid_dim.z,
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block_dim.x,
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block_dim.y,
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block_dim.z);
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printf("Warm up\n");
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hipStream_t stream_id = nullptr;
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// warm up
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hipLaunchKernelGGL(kernel, grid_dim, block_dim, lds_byte, stream_id, args...);
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printf("Start running %d times...\n", nrepeat);
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timer.Start();
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for(int i = 0; i < nrepeat; ++i)
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{
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hipLaunchKernelGGL(kernel, grid_dim, block_dim, lds_byte, stream_id, args...);
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}
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timer.End();
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// std::this_thread::sleep_for (std::chrono::microseconds(10));
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return timer.GetElapsedTime() / nrepeat;
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#else
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launch_kernel(kernel, grid_dim, block_dim, lds_byte, args...);
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return 0;
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#endif
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}
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#endif
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