// Copyright (c) 2022 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 "paddle/phi/kernels/elementwise_grad_kernel.h" #include "paddle/phi/backends/gpu/gpu_context.h" #include "paddle/phi/common/bfloat16.h" #include "paddle/phi/common/complex.h" #include "paddle/phi/common/float16.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/copy_kernel.h" #include "paddle/phi/kernels/funcs/elementwise_functor.h" #include "paddle/phi/kernels/gpu/elementwise_grad.h" #include "paddle/phi/kernels/impl/elementwise_grad_kernel_impl.h" namespace phi { template void SubtractGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, int axis, DenseTensor* dx, DenseTensor* dy) { // skip out auto* out = &dout; if (dx != nullptr && dy != nullptr && (dx->dims() == dy->dims())) { elementwise_sub_grad(dev_ctx, x, y, *out, dout, dx, dy); } else { default_elementwise_sub_grad(dev_ctx, x, y, *out, dout, dx, dy, axis); } } template void SubtractDoubleGradKernel(const Context& dev_ctx, const DenseTensor& y, paddle::optional ddx, paddle::optional ddy, const DenseTensor& dout, int axis, DenseTensor* ddout) { phi::SubtractDoubleGradImpl(dev_ctx, y, ddx, ddy, dout, axis, ddout); } } // namespace phi PD_REGISTER_KERNEL(subtract_grad, GPU, ALL_LAYOUT, phi::SubtractGradKernel, float, double, int, int64_t, phi::dtype::float16, phi::dtype::bfloat16, phi::dtype::complex, phi::dtype::complex) {} PD_REGISTER_KERNEL(subtract_double_grad, GPU, ALL_LAYOUT, phi::SubtractDoubleGradKernel, float, double, int, int64_t, phi::dtype::float16, phi::dtype::bfloat16, phi::dtype::complex, phi::dtype::complex) {}