// 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/take_along_axis_grad_kernel.h" #include "paddle/fluid/operators/gather_scatter_kernel.h" #include "paddle/phi/backends/gpu/gpu_context.h" #include "paddle/phi/common/place.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/utils/data_type.h" #include "paddle/phi/kernels/funcs/math_function.h" namespace phi { template void TakeAlongAxisGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& index, const DenseTensor& out_grad, int axis, DenseTensor* x_grad) { PADDLE_ENFORCE_EQ( paddle::platform::is_gpu_place(dev_ctx.GetPlace()), true, errors::PreconditionNotMet("This kernel only runs on GPU.")); // We need to know the shape of input matrix to determine the shape of grad // matrix of input. x_grad->Resize(x.dims()); dev_ctx.template Alloc(x_grad); // Set to zero tensor. phi::funcs::SetConstant functor; functor(dev_ctx, x_grad, static_cast(0)); const auto& index_type = index.dtype(); if (index_type == DataType::INT32) { paddle::operators::gpu_scatter_add_kernel( *x_grad, axis, index, out_grad, dev_ctx); // the gradient of gather is scatter } else if (index_type == DataType::INT64) { paddle::operators::gpu_scatter_add_kernel( *x_grad, axis, index, out_grad, dev_ctx); } } } // namespace phi PD_REGISTER_KERNEL(take_along_axis_grad, GPU, ALL_LAYOUT, phi::TakeAlongAxisGradKernel, float, double, int64_t, int, phi::dtype::float16) {}