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https://github.com/ROCm/composable_kernel.git
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* initial stub for standalone softmax
* start device_softmax_mk_to_mk as a wrapper to device_reduce_mk_to_m
* host softmax validates
* compiles; to implement beta scaling
* use NaN trick to efficiently ignore OOB values during sum of exponentials
* freeload device_reduce's utility functions
* clean up interface
* adding prior value (beta scaling)
* remove restriction related to perf considerations
* apply clang-format
* clean; disable diagnostics
* resolve conflicts
* add exp wrapper
* honor HostTensorDesc interface; allow implicit cast from different vector<T> type
* test softmax for fp16/fp32
* update readme
* amend commit NaN trick
* remove redundant param added during development
* format
* replace ScalarDataType with AccDataType
* separate out test programs by precision type
* move softmax sample code to its own folder
* format
* keep up with recent changes in reduction API
* remove extra header
[ROCm/composable_kernel commit: 15c89e81f0]
142 lines
4.7 KiB
C++
142 lines
4.7 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (c) 2020 Advanced Micro Devices, Inc.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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*******************************************************************************/
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#ifndef CK_REDUCTION_FUNCTIONS_BINOP_HPP
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#define CK_REDUCTION_FUNCTIONS_BINOP_HPP
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#include "data_type.hpp"
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#include "math_v2.hpp"
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#include "reduction_common.hpp"
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#include "reduction_operator.hpp"
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namespace ck {
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namespace detail {
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// Check for NaN; guarantee NaNs are NOT propagated to result (i.e., ignore NaNs)
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template <typename ReduceOperation, typename AccDataType>
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struct AccumulateWithNanIgnore
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{
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__device__ static inline void Calculate(AccDataType& accuVal, AccDataType currVal)
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{
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if(!isnan(currVal))
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{
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ReduceOperation{}(accuVal, currVal);
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}
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};
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};
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template <bool PropagateNan, typename ReduceOperation, typename AccDataType>
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struct AccumulateWithNanCheck;
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// Does not check for NaN; does not guarantee NaNs be propagated to result
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// e.g., given that max(a, b) = a > b ? a : b
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// then max(NaN, 1) returns 1
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// max(1, NaN) returns NaN
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// since any comparison involving NaNs returns false
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template <typename ReduceOperation, typename AccDataType>
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struct AccumulateWithNanCheck<false, ReduceOperation, AccDataType>
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{
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// cppcheck-suppress constParameter
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__host__ __device__ static inline void Calculate(AccDataType& accuVal, AccDataType currVal)
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{
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ReduceOperation{}(accuVal, currVal);
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};
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};
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// Check for NaN; guarantees NaNs be propagated to result
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template <typename ReduceOperation, typename AccDataType>
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struct AccumulateWithNanCheck<true, ReduceOperation, AccDataType>
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{
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__host__ __device__ static inline void Calculate(AccDataType& accuVal, AccDataType currVal)
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{
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using ck::math::isnan;
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if(isnan(currVal))
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{
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accuVal = currVal;
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}
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else
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{
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ReduceOperation{}(accuVal, currVal);
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};
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};
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};
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template <bool PropagateNan, typename ReduceOperation, typename AccDataType, typename IndexDataType>
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struct AccumulateWithIndexAndNanCheck;
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template <typename ReduceOperation, typename AccDataType, typename IndexDataType>
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struct AccumulateWithIndexAndNanCheck<false, ReduceOperation, AccDataType, IndexDataType>
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{
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__host__ __device__ static inline void
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// cppcheck-suppress constParameter
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Calculate(AccDataType& accuVal,
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AccDataType currVal,
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IndexDataType& accuIndex,
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IndexDataType currIndex)
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{
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bool changed = false;
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ReduceOperation{}(accuVal, currVal, changed);
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if(changed)
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accuIndex = currIndex;
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};
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};
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template <typename ReduceOperation, typename AccDataType, typename IndexDataType>
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struct AccumulateWithIndexAndNanCheck<true, ReduceOperation, AccDataType, IndexDataType>
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{
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// The method is called when the ReduceOperation is indexable and the user asked for indices
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__host__ __device__ static inline void Calculate(AccDataType& accuVal,
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AccDataType currVal,
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IndexDataType& accuIndex,
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IndexDataType currIndex)
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{
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using ck::math::isnan;
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if(isnan(currVal))
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{
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accuVal = currVal;
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accuIndex = currIndex;
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}
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else
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{
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bool changed = false;
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ReduceOperation{}(accuVal, currVal, changed);
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if(changed)
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accuIndex = currIndex;
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}
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};
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};
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}; // namespace detail
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}; // end of namespace ck
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#endif
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