wehub-resource-sync
72 lines
2.2 KiB
C++
72 lines
2.2 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 "paddle/phi/backends/all_context.h"
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#include "paddle/phi/common/transform.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/clip_kernel.h"
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#if defined(__NVCC__) || defined(__HIPCC__)
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#include "paddle/phi/kernels/funcs/broadcast_function.h"
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#endif
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namespace phi {
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template <typename T>
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class ClipGradFunctor {
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public:
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explicit ClipGradFunctor(const T min, const T max) : min_(min), max_(max) {}
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HOSTDEVICE T operator()(const T x, const T y) const {
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return (y >= min_ && y <= max_) ? x : static_cast<T>(0);
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}
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private:
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T min_;
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T max_;
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};
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template <typename T, typename Context>
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void ClipGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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const Scalar& min,
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const Scalar& max,
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DenseTensor* x_grad) {
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auto max_ = max.to<T>();
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auto min_ = min.to<T>();
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#if defined(__NVCC__) || defined(__HIPCC__)
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std::vector<const DenseTensor*> ins = {&out_grad, &x};
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std::vector<DenseTensor*> outs = {x_grad};
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auto functor = ClipGradFunctor<T>(min_, max_);
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dev_ctx.template Alloc<T>(x_grad);
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funcs::ElementwiseKernel<T>(dev_ctx, ins, &outs, functor);
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#else
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int64_t numel = out_grad.numel();
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auto* d_x_data = dev_ctx.template Alloc<T>(x_grad);
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const T* d_out_data = out_grad.data<T>();
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const T* x_data = x.data<T>();
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Transform<Context> trans;
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trans(dev_ctx,
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d_out_data,
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d_out_data + numel,
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x_data,
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d_x_data,
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ClipGradFunctor<T>(min_, max_));
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#endif
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}
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} // namespace phi
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