// 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/memcpy_h2d_kernel.h" #include "paddle/phi/common/complex.h" #include "paddle/phi/core/kernel_registry.h" namespace phi { template void MemcpyH2DKernel(const Context& dev_ctx, const DenseTensor& x, int dst_place_type, DenseTensor* out) { PADDLE_ENFORCE_GE( dst_place_type, 0, errors::OutOfRange("dst_place_type only support 0-3, but got: %d", dst_place_type)); PADDLE_ENFORCE_LE( dst_place_type, 3, errors::OutOfRange("dst_place_type only support 0-3, but got: %d", dst_place_type)); // Copy will set the stream of the tensor while setting blocking to false Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out); } } // namespace phi PD_REGISTER_KERNEL(memcpy_h2d, CPU, ALL_LAYOUT, phi::MemcpyH2DKernel, float, double, int8_t, uint8_t, int, int64_t, bool, phi::dtype::bfloat16, phi::dtype::complex, phi::dtype::complex, phi::dtype::float16, int16_t) {} #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) PD_REGISTER_KERNEL(memcpy_h2d, GPU, ALL_LAYOUT, phi::MemcpyH2DKernel, float, double, int8_t, uint8_t, int, int64_t, bool, phi::dtype::bfloat16, phi::dtype::complex, phi::dtype::complex, phi::dtype::float16, int16_t) {} #endif #ifdef PADDLE_WITH_XPU PD_REGISTER_KERNEL(memcpy_h2d, XPU, ALL_LAYOUT, phi::MemcpyH2DKernel, float, double, int8_t, uint8_t, int, int64_t, bool, phi::dtype::bfloat16, phi::dtype::complex, phi::dtype::complex, phi::dtype::float16, int16_t) {} #endif