mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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84 lines
3.0 KiB
C++
84 lines
3.0 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "fastdeploy/function/math.h"
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#include "fastdeploy/function/eigen.h"
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#include "fastdeploy/function/math_functor.h"
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namespace fastdeploy {
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namespace function {
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#define DEFINE_ACTIVATION_KERNEL(name, functor_class) \
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template <typename T> void name##Kernel(const FDTensor& x, FDTensor* out) { \
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functor_class<T> functor; \
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ActivationImpl<T, functor_class<T>>(x, out, functor); \
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}
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template <typename T, typename Functor>
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void ActivationImpl(const FDTensor& X, FDTensor* Out, const Functor& functor) {
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FDASSERT(Out != nullptr, "Output Out should not be nullptr");
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FDTensor out_tmp;
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auto x = EigenVector<T>::Flatten(X);
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out_tmp.Allocate(X.Shape(), X.Dtype());
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auto out = EigenVector<T>::Flatten(out_tmp);
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const auto& dev = *EigenDeviceWrapper::GetInstance()->GetDevice();
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functor(dev, x, out);
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*Out = std::move(out_tmp);
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}
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DEFINE_ACTIVATION_KERNEL(Sqrt, SqrtFunctor)
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DEFINE_ACTIVATION_KERNEL(Log, LogFunctor)
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DEFINE_ACTIVATION_KERNEL(Round, RoundFunctor)
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DEFINE_ACTIVATION_KERNEL(Exp, ExpFunctor)
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DEFINE_ACTIVATION_KERNEL(Abs, AbsFunctor)
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DEFINE_ACTIVATION_KERNEL(Ceil, CeilFunctor)
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DEFINE_ACTIVATION_KERNEL(Floor, FloorFunctor)
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void Sqrt(const FDTensor& x, FDTensor* out) {
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FD_VISIT_FLOAT_TYPES(x.dtype, "SqrtKernel",
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([&] { SqrtKernel<data_t>(x, out); }));
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}
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void Log(const FDTensor& x, FDTensor* out) {
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FD_VISIT_FLOAT_TYPES(x.dtype, "LogKernel",
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([&] { LogKernel<data_t>(x, out); }));
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}
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void Round(const FDTensor& x, FDTensor* out) {
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FD_VISIT_FLOAT_TYPES(x.dtype, "RoundKernel",
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([&] { RoundKernel<data_t>(x, out); }));
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}
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void Exp(const FDTensor& x, FDTensor* out) {
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FD_VISIT_FLOAT_TYPES(x.dtype, "ExpKernel",
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([&] { ExpKernel<data_t>(x, out); }));
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}
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void Abs(const FDTensor& x, FDTensor* out) {
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FD_VISIT_FLOAT_TYPES(x.dtype, "AbsKernel",
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([&] { AbsKernel<data_t>(x, out); }));
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}
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void Ceil(const FDTensor& x, FDTensor* out) {
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FD_VISIT_FLOAT_TYPES(x.dtype, "CeilKernel",
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([&] { CeilKernel<data_t>(x, out); }));
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}
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void Floor(const FDTensor& x, FDTensor* out) {
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FD_VISIT_FLOAT_TYPES(x.dtype, "FloorKernel",
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([&] { FloorKernel<data_t>(x, out); }));
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}
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} // namespace function
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} // namespace fastdeploy
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