// 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/gather_nd_grad_kernel.h" #include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/funcs/eigen/eigen_function.h" #include "paddle/phi/kernels/funcs/scatter.h" namespace phi { template void GatherNdGradKernel(const Context &dev_ctx, const DenseTensor &x UNUSED, const DenseTensor &index, const DenseTensor &out_grad, DenseTensor *x_grad) { dev_ctx.template Alloc(x_grad); auto dxt = EigenVector::Flatten(*x_grad); auto &place = *dev_ctx.eigen_device(); dxt.device(place) = dxt.constant(static_cast(0)); if (out_grad.numel() == 0) return; auto index_type = index.dtype(); bool index_type_match = index_type == DataType::INT32 || index_type == DataType::INT64; PADDLE_ENFORCE_EQ(index_type_match, true, common::errors::InvalidArgument( "Index holds the wrong type, it holds [%s]," "but desires to be [%s] or [%s]", index_type, DataType::INT32, DataType::INT64)); if (index_type == DataType::INT32) { funcs::ScatterNdAdd(dev_ctx, out_grad, index, x_grad); } else if (index_type == DataType::INT64) { funcs::ScatterNdAdd(dev_ctx, out_grad, index, x_grad); } } } // namespace phi PD_REGISTER_KERNEL(gather_nd_grad, CPU, ALL_LAYOUT, phi::GatherNdGradKernel, bool, float, double, int, int8_t, int64_t, int16_t, uint8_t, phi::complex64, phi::complex128) {}