wehub-resource-sync
70 lines
2.1 KiB
C++
70 lines
2.1 KiB
C++
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#include <glog/logging.h>
|
|
|
|
#include <algorithm>
|
|
#include <cmath>
|
|
#include <memory>
|
|
#include <string>
|
|
#include <unordered_set>
|
|
#include <utility>
|
|
#include <vector>
|
|
#ifndef _USE_MATH_DEFINES
|
|
#define _USE_MATH_DEFINES
|
|
#endif
|
|
|
|
#include <type_traits>
|
|
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/core/tensor_utils.h"
|
|
#include "paddle/phi/kernels/funcs/activation_functor.h"
|
|
#include "paddle/phi/kernels/funcs/blas/blas.h"
|
|
#include "paddle/phi/kernels/funcs/eigen/common.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T>
|
|
struct SoftReluFunctor {
|
|
float threshold;
|
|
void SetAttrs(float threshold_) { threshold = threshold_; }
|
|
|
|
template <typename Device, typename X, typename Out>
|
|
void operator()(Device d, X x, Out out) {
|
|
auto tmp = static_cast<T>(threshold);
|
|
auto temp = x.cwiseMax(-tmp).cwiseMin(tmp);
|
|
out.device(d) = (static_cast<T>(1) + temp.exp()).log();
|
|
}
|
|
};
|
|
|
|
template <typename T, typename Context>
|
|
void SoftmaxKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
float threshold,
|
|
DenseTensor* out) {
|
|
dev_ctx.template Alloc<T>(out);
|
|
|
|
auto x_flatten = EigenVector<T>::Flatten(x);
|
|
auto out_flatten = EigenVector<T>::Flatten(*out);
|
|
auto* eigen_dev = dev_ctx.eigen_device();
|
|
SoftReluFunctor<T> functor;
|
|
functor.SetAttrs(threshold);
|
|
functor(*eigen_dev, x_flatten, out_flatten);
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(
|
|
soft_relu, CPU, ALL_LAYOUT, phi::SoftmaxKernel, float, double) {}
|