wehub-resource-sync
63 lines
2.0 KiB
C++
63 lines
2.0 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/phi/kernels/strings/strings_copy_kernel.h"
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#include "glog/logging.h"
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#include "paddle/phi/common/pstring.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi::strings {
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template <typename Context>
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void Copy(const Context& dev_ctx,
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const StringTensor& src,
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bool blocking,
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StringTensor* dst) {
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auto* src_ptr = src.data();
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const auto& src_place = src.place();
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VLOG(3) << "StringTensorCopy " << src.dims() << " from " << src.place()
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<< " to " << src_place;
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dst->Resize(src.dims());
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dtype::pstring* dst_ptr = dev_ctx.template Alloc<dtype::pstring>(dst);
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if (src_ptr == dst_ptr) {
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VLOG(3) << "Skip copy the same string data async from " << src_place
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<< " to " << src_place;
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return;
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}
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VLOG(4) << "src:" << src_ptr << ", dst:" << dst_ptr;
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int64_t numel = src.numel();
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if (src_place.GetType() == AllocationType::CPU) {
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for (int64_t i = 0; i < numel; ++i) {
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dst_ptr[i] = src_ptr[i];
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}
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}
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}
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#ifdef _WIN32
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template PADDLE_API void Copy<CPUContext>(const CPUContext&,
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const StringTensor&,
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bool,
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StringTensor*);
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#endif
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} // namespace phi::strings
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PD_REGISTER_KERNEL_FOR_ALL_DTYPE(strings_copy,
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CPU,
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ALL_LAYOUT,
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phi::strings::Copy<phi::CPUContext>) {}
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