forked from huawei/mindspore2022
56 lines
1.7 KiB
C++
56 lines
1.7 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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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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*/
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#ifndef MINDSPORE_CCSRC_PARALLEL_DEVICE_MATRIX_H_
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#define MINDSPORE_CCSRC_PARALLEL_DEVICE_MATRIX_H_
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#include <cstdint>
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#include <string>
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#include <vector>
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#include "parallel/status.h"
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#include "utils/convert_utils.h"
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namespace mindspore {
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namespace parallel {
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using RankList = std::vector<int32_t>;
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using Shape = std::vector<int32_t>;
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class DeviceMatrix {
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public:
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DeviceMatrix(int32_t rank, RankList devices, Shape dev_shape);
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DeviceMatrix() = default;
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~DeviceMatrix() = default;
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std::vector<RankList> group_list() const { return group_list_; }
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Status CreateGroupList();
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Status GetDevicesByTensorMap(const Shape &tensor_map, RankList *rank_list);
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Status GetDevicesAlongDim(const uint32_t &dim, RankList *devices);
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private:
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int32_t rank_ = -1;
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RankList dev_list_;
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// From low dim to high dim. eg: [D0 D1 D2 D3]
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Shape dev_shape_;
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std::vector<RankList> group_list_;
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};
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std::string ShapeToString(const Shape &shape);
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std::string ListToString(const std::vector<int32_t> &list);
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} // namespace parallel
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_PARALLEL_DEVICE_MATRIX_H_
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