forked from huawei/mindspore2022
48 lines
1.6 KiB
C++
48 lines
1.6 KiB
C++
/**
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* Copyright 2021 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_LITE_MICRO_CODER_UTILS_CODER_UTILS_H_
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#define MINDSPORE_LITE_MICRO_CODER_UTILS_CODER_UTILS_H_
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#include <set>
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#include <limits>
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#include <vector>
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#include <memory>
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#include <string>
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#include "include/errorcode.h"
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#include "securec/include/securec.h"
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#include "src/tensor.h"
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#include "coder/opcoders/op_coder.h"
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namespace mindspore::lite::micro {
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constexpr int kWeightPrecision = 9;
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std::vector<std::string> AddDumpDataInfo(const std::vector<std::string> &blocks,
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const std::vector<std::unique_ptr<OperatorCoder>> &opcoders);
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void PrintTensorData(const lite::Tensor *tensor, std::ofstream &ofs);
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template <typename T>
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std::string ArrayToString(std::vector<T> array) {
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std::string result;
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std::for_each(array.begin(), array.end(), [&result](const T &t) { result += std::to_string(t) + ", "; });
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return "{" + result + "}";
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}
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} // namespace mindspore::lite::micro
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#endif // MINDSPORE_LITE_MICRO_CODER_UTILS_CODER_UTILS_H_
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