// Copyright (c) 2024 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/reduce_as_kernel.h" #include "paddle/phi/core/device_context.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/funcs/common_shape.h" #include "paddle/phi/kernels/funcs/reduce_functor.h" #include "paddle/phi/kernels/impl/reduce_grad.h" namespace phi { template void ReduceAsGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& target, const DenseTensor& out_grad, DenseTensor* x_grad) { auto reduce_dim = funcs::GetReduceDims(x, target); if (reduce_dim.size() != 0) { ReduceGradKernel( dev_ctx, x, paddle::none, out_grad, reduce_dim, false, false, x_grad); } else { dev_ctx.template Alloc(x_grad); Copy(dev_ctx, out_grad, dev_ctx.GetPlace(), false, x_grad); } } } // namespace phi PD_REGISTER_KERNEL(reduce_as_grad, CPU, ALL_LAYOUT, phi::ReduceAsGradKernel, bool, float, double, phi::float16, phi::bfloat16, int16_t, int, int64_t, uint8_t, int8_t, phi::complex64, phi::complex128) { kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED); }