wehub-resource-sync
91 lines
3.0 KiB
C++
91 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 "paddle/phi/kernels/elementwise_subtract_grad_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/cpu/elementwise_grad.h"
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#include "paddle/phi/kernels/full_kernel.h"
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#include "paddle/phi/kernels/funcs/elementwise_functor.h"
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#include "paddle/phi/kernels/impl/elementwise_grad_kernel_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void SubtractGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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const DenseTensor& dout,
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int axis,
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DenseTensor* dx,
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DenseTensor* dy) {
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// skip out
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auto* out = &dout;
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if (dout.numel() == 0) {
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if (dx) {
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dev_ctx.template Alloc<T>(dx);
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if (dx->numel() != 0) {
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Full<T, Context>(dev_ctx, dx->dims(), 0, dx);
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}
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}
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if (dy) {
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dev_ctx.template Alloc<T>(dy);
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if (dy->numel() != 0) {
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Full<T, Context>(dev_ctx, dy->dims(), 0, dy);
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}
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}
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return;
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}
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ElementwiseSubGrad<T>(dev_ctx, x, y, *out, dout, dx, dy, axis);
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}
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template <typename T, typename Context>
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void SubtractDoubleGradKernel(const Context& dev_ctx,
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const DenseTensor& y,
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const DenseTensor& dout,
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const optional<DenseTensor>& ddx,
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const optional<DenseTensor>& ddy,
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int axis,
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DenseTensor* ddout) {
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SubtractDoubleGradImpl<T>(dev_ctx, y, ddx, ddy, dout, axis, ddout);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(subtract_grad,
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CPU,
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ALL_LAYOUT,
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phi::SubtractGradKernel,
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float,
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double,
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int16_t,
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int,
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int64_t,
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phi::bfloat16,
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phi::complex64,
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phi::complex128) {}
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PD_REGISTER_KERNEL(subtract_double_grad,
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CPU,
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ALL_LAYOUT,
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phi::SubtractDoubleGradKernel,
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float,
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double,
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int16_t,
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int,
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int64_t,
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phi::bfloat16,
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phi::complex64,
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phi::complex128) {}
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