// 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/share_buffer_kernel.h" #include "glog/logging.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/visit_type.h" namespace phi { template void ShareBufferKernel(const Context &dev_ctx, const std::vector &x, const std::vector &share_dims_and_dtype, std::vector out, std::vector xout) { PADDLE_ENFORCE_EQ( x.size(), out.size(), phi::errors::PermissionDenied( "The input(X) and Output(out) should have the same size, but got " "size of Input(X) is %d and size of Output(out) is %d.", x.size(), out.size())); for (size_t i = 0; i < x.size(); ++i) { if (x[i] == nullptr || out[i] == nullptr) { continue; } out[i]->ShareBufferWith(*x[i]); VLOG(10) << "Share tensor buffer "; } } } // namespace phi PD_REGISTER_GENERAL_KERNEL(share_buffer, CPU, ALL_LAYOUT, phi::ShareBufferKernel, ALL_DTYPE) {} #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) PD_REGISTER_GENERAL_KERNEL(share_buffer, GPU, ALL_LAYOUT, phi::ShareBufferKernel, ALL_DTYPE) {} #endif #ifdef PADDLE_WITH_XPU PD_REGISTER_GENERAL_KERNEL(share_buffer, XPU, ALL_LAYOUT, phi::ShareBufferKernel, ALL_DTYPE) {} #endif