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/*
* Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef LUCI_INTERPRETER_PAL_QUANTIZE_H
#define LUCI_INTERPRETER_PAL_QUANTIZE_H
#include "PALreference_ops.h"
namespace luci_interpreter_pal
{
template <typename T>
static inline void Quantize(tflite::QuantizationParams ¶ms,
const tflite::RuntimeShape &input_shape, const float *input_data,
const tflite::RuntimeShape &output_shape, T *output_data)
{
tflite::reference_ops::AffineQuantize(params, input_shape, input_data, output_shape, output_data);
}
template <typename Input, typename Output>
static inline void Requantize(const Input *input_data, int32_t size,
int32_t effective_scale_multiplier, int32_t effective_scale_shift,
int32_t input_zero_point, int32_t output_zero_point,
Output *output_data)
{
tflite::reference_ops::Requantize(input_data, size, effective_scale_multiplier,
effective_scale_shift, input_zero_point, output_zero_point,
output_data);
}
} // namespace luci_interpreter_pal
#endif // LUCI_INTERPRETER_PAL_QUANTIZE_H
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