wehub-resource-sync
70 lines
2.2 KiB
C++
70 lines
2.2 KiB
C++
/* Copyright 2021 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_DELEGATES_XNNPACK_TEST_UTIL_H_
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#define TENSORFLOW_LITE_DELEGATES_XNNPACK_TEST_UTIL_H_
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#include <cstdint>
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#include <vector>
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#include "tensorflow/lite/schema/schema_generated.h"
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namespace tflite {
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namespace xnnpack {
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int8_t QuantizeInt8(float value, int32_t zero_point, float scale);
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void QuantizeInt8PerChannel(const float* scale, const int64_t* zero_point,
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int32_t quantized_dimension,
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const float* input_data, int8_t* output_data,
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const std::vector<int32_t>& shape);
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float GetInt8QuantizationScale(const std::vector<float>& data);
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std::vector<float> GetInt8QuantizationScalePerChannel(
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const float* data, int32_t quantized_dimension,
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const std::vector<int32_t>& shape);
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template <class Tester>
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class ModelCache {
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public:
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virtual ~ModelCache() = default;
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inline Tester& ReuseGeneratedModel(bool reuse) {
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reuse_generated_model_ = reuse;
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return *static_cast<Tester*>(this);
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}
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bool ReuseGeneratedModel() const { return reuse_generated_model_; }
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const Model* GetModel() {
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if (model_buffer_.empty() || !ReuseGeneratedModel()) {
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model_buffer_ = CreateTfLiteModel();
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}
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return tflite::GetModel(model_buffer_.data());
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}
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virtual std::vector<char> CreateTfLiteModel() const = 0;
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protected:
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bool reuse_generated_model_ = false;
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std::vector<char> model_buffer_;
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};
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} // namespace xnnpack
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_TEST_UTIL_H_
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