chore: import upstream snapshot with attribution
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#pragma once
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#include <sstream>
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#include "paddle/phi/backends/context_pool.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/utils/string/string_helper.h"
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namespace phi {
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namespace funcs {
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template <typename T>
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static const std::vector<T> &ToVector(const std::vector<T> &vec) {
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return vec;
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}
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template <typename T>
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static std::vector<T> ToVector(const T *x,
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size_t n,
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const phi::Place &place UNUSED) {
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#ifdef __NVCC__
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if (place.GetType() == AllocationType::GPU) {
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using CopyT = typename std::
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conditional<std::is_same<T, bool>::value, uint8_t, T>::type;
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std::vector<CopyT> cpu_x(n);
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auto *dev_ctx =
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static_cast<GPUContext *>(DeviceContextPool::Instance().Get(place));
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memory_utils::Copy(
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CPUPlace(), cpu_x.data(), place, x, n * sizeof(T), dev_ctx->stream());
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dev_ctx->Wait();
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return std::vector<T>(cpu_x.data(), cpu_x.data() + n);
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}
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#endif
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return std::vector<T>(x, x + n);
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}
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template <typename T>
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static std::vector<T> ToVector(const DenseTensor &src) {
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if (!src.IsInitialized()) {
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return {};
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}
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return ToVector(src.template data<T>(), src.numel(), src.place());
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}
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template <typename... Args>
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static std::string FlattenToString(Args &&...args) {
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const auto &vec = ToVector(std::forward<Args>(args)...);
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return "[" + paddle::string::join_strings(vec, ',') + "]";
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}
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} // namespace funcs
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} // namespace phi
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