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- /**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
- #ifndef MINDSPORE_LITE_MICRO_CODER_UTILS_CODER_UTILS_H_
- #define MINDSPORE_LITE_MICRO_CODER_UTILS_CODER_UTILS_H_
-
- #include <set>
- #include <limits>
- #include <vector>
- #include <memory>
- #include <string>
- #include "include/errorcode.h"
- #include "securec/include/securec.h"
- #include "src/tensor.h"
- #include "coder/opcoders/op_coder.h"
-
- namespace mindspore::lite::micro {
-
- constexpr int kWeightPrecision = 9;
-
- bool CheckConstantTensor(const Tensor *const tensor);
-
- std::vector<std::string> AddDumpDataInfo(const std::vector<std::string> &blocks,
- const std::vector<std::unique_ptr<OperatorCoder>> &opcoders);
-
- void PrintTensorData(const lite::Tensor *tensor, std::ofstream &ofs);
-
- template <typename T>
- std::string ArrayToString(std::vector<T> array) {
- std::string result;
- std::for_each(array.begin(), array.end(), [&result](const T &t) { result += std::to_string(t) + ", "; });
- return "{" + result + "}";
- }
-
- } // namespace mindspore::lite::micro
-
- #endif // MINDSPORE_LITE_MICRO_CODER_UTILS_CODER_UTILS_H_
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