forked from mindspore-Ecosystem/mindspore
61 lines
1.8 KiB
C++
61 lines
1.8 KiB
C++
/**
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* Copyright 2020 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 GE_MOCK_H
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#define GE_MOCK_H
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#include <iostream>
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#include <memory>
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#include <string>
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#include <cstring>
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#include <sstream>
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#include "graph/tensor.h"
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#include "graph/operator_reg.h"
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#include "graph/operator.h"
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#include "graph/utils/tensor_utils.h"
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#include "graph/utils/tensor_adapter.h"
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#include "external/ge/ge_api.h"
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namespace ge {
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Session::Session(const std::map<std::string, std::string>& options) {}
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Session::~Session() {}
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Status Session::RunGraph(uint32_t id, const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs) {
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// for test!!! just copy inputs to outputs:
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for (auto it = inputs.begin(); it != inputs.end(); it++) {
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outputs.emplace_back(*it);
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}
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return ge::GRAPH_SUCCESS;
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}
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Status Session::AddGraph(uint32_t id, const Graph& graph) { return ge::GRAPH_SUCCESS; }
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Status GEInitialize(const std::map<std::string, std::string>& options) { return ge::GRAPH_SUCCESS; }
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Status GEFinalize() { return ge::GRAPH_SUCCESS; }
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Status Graph::SaveToFile(const string& file_name) const { return ge::GRAPH_SUCCESS; }
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} // namespace ge
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namespace gelc {
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uint32_t GetOptInfo(uint32_t mode, const std::string &soc_ver, std::map<std::string, std::string> &opt_info_map) {
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return 0;
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}
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} // namespace gelc
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#endif
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