wehub-resource-sync
89 lines
3.5 KiB
C++
89 lines
3.5 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_TOOLS_OPTIMIZE_MODEL_UTILS_H_
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#define TENSORFLOW_LITE_TOOLS_OPTIMIZE_MODEL_UTILS_H_
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#include <cstddef>
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#include <cstdint>
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#include <memory>
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#include <string>
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#include <vector>
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#include "absl/memory/memory.h"
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#include "tensorflow/lite/core/model.h"
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#include "tensorflow/lite/kernels/internal/types.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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namespace tflite {
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namespace optimize {
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namespace utils {
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// LINT.IfChange(MakeDequantizeOperator)
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// Creates a Dequantize OperatorT object.
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void MakeDequantizeOperator(ModelT* model, std::unique_ptr<OperatorT>* op,
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int32_t input, int32_t output);
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// LINT.ThenChange(//tensorflow/compiler/mlir/lite/quantization/lite/toco_legacy/model_utils.cc:MakeDequantizeOperator)
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// Creates a Quantize OperatorT object.
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void MakeQuantizeOperator(ModelT* model, std::unique_ptr<OperatorT>* op,
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int32_t input, int32_t output);
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// LINT.IfChange(MakeTensor)
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// Create a new TensorT object without quantization parameters.
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void MakeTensor(const string& name, const std::vector<int32_t>& shape,
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const std::vector<int32_t>& shape_signature,
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const TensorType& type, std::unique_ptr<TensorT>* tensor);
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// LINT.ThenChange(//tensorflow/compiler/mlir/lite/quantization/lite/toco_legacy/model_utils.cc:MakeTensor)
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// Create a new TensorT object with quantization parameters.
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void MakeTensorWithQuantParam(const string& name,
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const std::vector<int32_t>& shape,
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const std::vector<int32_t>& shape_signature,
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const TensorType& type, float scale,
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int64_t zero_point,
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std::unique_ptr<TensorT>* tensor);
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// Checks if the tensor has scale and zero point populated.
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bool QuantizationParametersExist(const TensorT* tensor);
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bool HasBuffer(const ModelT* model, const SubGraphT* subgraph,
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int tensor_index);
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// LINT.IfChange(HasMinMax)
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bool HasMinMax(const TensorT* tensor);
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// LINT.ThenChange(//tensorflow/compiler/mlir/lite/quantization/lite/toco_legacy/model_utils.cc:HasMinMax)
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// Set version of OperatorCode. The version will only be applied for operations
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// that have been quantized.
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void SetOperatorCodeVersion(ModelT* model);
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// Writes model buffer to file.
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void WriteFile(const std::string& out_file, const uint8_t* bytes,
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size_t num_bytes);
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// Finishes model buffer and returns its builder.
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std::unique_ptr<flatbuffers::FlatBufferBuilder> FinishModel(
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const tflite::ModelT* model);
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// Reads TensorFlow Lite model from the given path.
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std::unique_ptr<tflite::ModelT> CreateMutableModelFromFile(
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const string& model_filepath);
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} // namespace utils
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} // namespace optimize
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TOOLS_OPTIMIZE_MODEL_UTILS_H_
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