wehub-resource-sync
68 lines
2.1 KiB
C++
68 lines
2.1 KiB
C++
// 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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#include "paddle/fluid/distributed/collective/common.h"
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namespace paddle::distributed {
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std::vector<Place> GetPlaceList(const std::vector<DenseTensor>& tensors) {
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std::vector<Place> places;
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places.reserve(tensors.size());
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for (auto& tensor : tensors) {
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places.push_back(tensor.place());
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}
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return places;
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}
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std::string GetKeyFromPlaces(const std::vector<Place>& places) {
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std::string placeList;
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for (auto& place : places) {
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std::stringstream tmp;
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tmp << place;
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if (placeList.empty()) {
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placeList += tmp.str();
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} else {
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placeList += "," + tmp.str();
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}
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}
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return placeList;
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}
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std::string GetKeyFromPlace(const Place& place) { return place.DebugString(); }
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bool CheckTensorsInCudaPlace(const std::vector<DenseTensor>& tensors) {
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return std::all_of(
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tensors.cbegin(), tensors.cend(), [&](const DenseTensor& t) {
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return phi::is_gpu_place(t.place());
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});
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}
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bool CheckTensorsInCustomPlace(const std::vector<DenseTensor>& tensors,
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const std::string& dev_type) {
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return std::all_of(
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tensors.cbegin(), tensors.cend(), [&](const DenseTensor& t) {
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return phi::places_are_same_class(t.place(),
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phi::CustomPlace(dev_type));
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});
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}
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bool CheckTensorsInXPUPlace(const std::vector<DenseTensor>& tensors) {
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return std::all_of(
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tensors.cbegin(), tensors.cend(), [&](const DenseTensor& t) {
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return phi::is_xpu_place(t.place());
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});
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}
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} // namespace paddle::distributed
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