wehub-resource-sync
93 lines
2.7 KiB
C++
93 lines
2.7 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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#pragma once
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#include <string>
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/kernels/funcs/for_range.h"
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#include "paddle/phi/kernels/funcs/math.h"
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namespace phi {
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template <typename T>
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struct SeluFunctor {
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SeluFunctor(const T* x_data_ptr, float alpha, float scale, T* y_data_ptr)
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: x_data_ptr_(x_data_ptr),
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alpha_(alpha),
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scale_(scale),
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y_data_ptr_(y_data_ptr) {}
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HOSTDEVICE void operator()(size_t idx) const {
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T x_ele = x_data_ptr_[idx];
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if (x_ele <= 0) {
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x_ele = alpha_ * funcs::real_exp(x_ele) - alpha_;
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}
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y_data_ptr_[idx] = scale_ * x_ele;
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}
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const T* x_data_ptr_;
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const float alpha_;
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const float scale_;
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T* y_data_ptr_;
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};
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template <typename T>
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struct SeluGradFunctor {
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SeluGradFunctor(const T* y_data_ptr,
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const T* dy_data_ptr,
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float alpha,
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float scale,
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T* dx_data_ptr)
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: y_data_ptr_(y_data_ptr),
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dy_data_ptr_(dy_data_ptr),
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alpha_(alpha),
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scale_(scale),
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la_(alpha * scale),
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dx_data_ptr_(dx_data_ptr) {}
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HOSTDEVICE void operator()(size_t idx) const {
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using MT =
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typename std::conditional<(sizeof(T) > sizeof(float)), T, float>::type;
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auto y_ele = static_cast<MT>(y_data_ptr_[idx]);
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auto dy_ele = static_cast<MT>(dy_data_ptr_[idx]);
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auto tmp = static_cast<MT>(scale_);
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if (y_ele <= 0) {
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tmp = y_ele + static_cast<MT>(la_);
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}
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dx_data_ptr_[idx] = static_cast<T>(dy_ele * tmp);
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}
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const T* y_data_ptr_;
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const T* dy_data_ptr_;
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const float alpha_;
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const float scale_;
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const float la_;
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T* dx_data_ptr_;
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};
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template <typename T, typename Context>
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void SeluKernel(const Context& dev_ctx,
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const DenseTensor& x,
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float scale,
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float alpha,
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DenseTensor* out) {
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auto out_ptr = dev_ctx.template Alloc<T>(out);
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SeluFunctor<T> functor(x.data<T>(), alpha, scale, out_ptr);
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size_t limit = static_cast<size_t>(x.numel());
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funcs::ForRange<Context> for_range(dev_ctx, limit);
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for_range(functor);
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}
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} // namespace phi
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