65 lines
2.7 KiB
C++
65 lines
2.7 KiB
C++
/* Copyright 2019 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_TOCO_LOGGING_CONVERSION_LOG_UTIL_H_
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#define TENSORFLOW_LITE_TOCO_LOGGING_CONVERSION_LOG_UTIL_H_
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#include <map>
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#include <vector>
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#include "tensorflow/lite/toco/logging/toco_conversion_log.pb.h"
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#include "tensorflow/lite/toco/model.h"
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namespace toco {
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// This function scans through the error message string, extracts the part about
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// missing ops and prunes away all other information in the error info.
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std::string SanitizeErrorMessage(const std::string& error_message);
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// Populates the TocoConversionLog proto after analyzing the model.
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void PopulateConversionLog(const Model& model, TocoConversionLog* log);
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// Returns the names of the operators in the model.
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std::vector<std::string> GetOperatorNames(const Model& model);
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// Counts the number of different types of operators in the model:
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// Built-in ops, custom ops and select ops.
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// Each map is mapping from the name of the operator (such as 'Conv') to its
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// total number of occurrences in the model.
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void CountOperatorsByType(const Model& model,
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std::map<std::string, int>* built_in_ops,
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std::map<std::string, int>* custom_ops,
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std::map<std::string, int>* select_ops);
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// Gets the input and output types of the model. The input and output is
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// specified by model.flags.input_arrays and model.flags.output_arrays.
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void GetInputAndOutputTypes(
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const Model& model,
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TFLITE_PROTO_NS::RepeatedPtrField<std::string>* input_types,
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TFLITE_PROTO_NS::RepeatedPtrField<std::string>* output_types);
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// Calculates signatures for all the ops in the model. An op signature is
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// defined by its input/output shapes and types, op name and its version.
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void GetOpSignatures(
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const Model& model,
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TFLITE_PROTO_NS::RepeatedPtrField<std::string>* op_signatures);
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// TODO(b/123519920): Implement this.
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// Calculates a unique hash for the model.
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std::string GetModelHash(const Model& model);
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} // namespace toco
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#endif // TENSORFLOW_LITE_TOCO_LOGGING_CONVERSION_LOG_UTIL_H_
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