/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include <string>
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#include <vector>
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#include "re2/re2.h"
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#include "tensorflow/lite/model.h"
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#include "tensorflow/lite/tools/gen_op_registration.h"
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namespace tflite {
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string NormalizeCustomOpName(const string& op) {
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string method(op);
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RE2::GlobalReplace(&method, "([a-z])([A-Z])", "\\1_\\2");
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std::transform(method.begin(), method.end(), method.begin(), ::toupper);
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return method;
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}
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void ReadOpsFromModel(const ::tflite::Model* model,
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std::vector<string>* builtin_ops,
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std::vector<string>* custom_ops) {
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if (!model) return;
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auto opcodes = model->operator_codes();
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if (!opcodes) return;
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for (const auto* opcode : *opcodes) {
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if (opcode->builtin_code() != ::tflite::BuiltinOperator_CUSTOM) {
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builtin_ops->push_back(
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tflite::EnumNameBuiltinOperator(opcode->builtin_code()));
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} else {
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custom_ops->push_back(opcode->custom_code()->c_str());
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}
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}
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}
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} // namespace tflite
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