/* Copyright 2018 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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#ifndef TENSORFLOW_LITE_TOOLS_OPTIMIZE_CALIBRATION_COMMON_H_
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#define TENSORFLOW_LITE_TOOLS_OPTIMIZE_CALIBRATION_COMMON_H_
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#include <unordered_map>
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#include <unordered_set>
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#include "tensorflow/lite/mutable_op_resolver.h"
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namespace tflite {
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namespace optimize {
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namespace calibration {
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using BuiltinOperatorKey = std::pair<BuiltinOperator, int>;
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using BuiltinOpsSet = std::unordered_set<
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BuiltinOperatorKey,
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op_resolver_hasher::OperatorKeyHasher<BuiltinOperatorKey>>;
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template <typename T>
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class BuiltinOpsMap
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: public std::unordered_map<
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BuiltinOperatorKey, T,
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op_resolver_hasher::OperatorKeyHasher<BuiltinOperatorKey>> {};
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// An alias for |TfLiteRegistration.invoke|.
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using KernelEvalFuncPtr = TfLiteStatus (*)(TfLiteContext*, TfLiteNode*);
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enum class OperatorTensorType { kNone, kInput, kOutput, kIntermediate };
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// Information about an operator in the TfLite graph.
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struct OperatorInfo {
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int node_index;
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std::string name;
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BuiltinOperator builtin_op_code;
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bool is_custom_op;
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std::vector<int> inputs;
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std::vector<int> outputs;
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// Inputs that need to be logged.
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std::vector<int> loggable_inputs;
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// Outputs that need to be logged.
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std::vector<int> loggable_outputs;
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const TfLiteRegistration* registration;
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};
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} // namespace calibration
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} // namespace optimize
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TOOLS_OPTIMIZE_CALIBRATION_COMMON_H_
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