2 * Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
9 * http://www.apache.org/licenses/LICENSE-2.0
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
18 #ifndef LUCI_INTERPRETER_PAL_QUANTIZE_H
19 #define LUCI_INTERPRETER_PAL_QUANTIZE_H
21 #include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
23 namespace luci_interpreter_pal
26 static inline void Quantize(tflite::QuantizationParams ¶ms,
27 const tflite::RuntimeShape &input_shape, const float *input_data,
28 const tflite::RuntimeShape &output_shape, T *output_data)
30 tflite::optimized_ops::AffineQuantize(params, input_shape, input_data, output_shape, output_data);
33 template <typename Input, typename Output>
34 static inline void Requantize(const Input *input_data, int32_t size,
35 int32_t effective_scale_multiplier, int32_t effective_scale_shift,
36 int32_t input_zero_point, int32_t output_zero_point,
39 tflite::optimized_ops::Requantize(input_data, size, effective_scale_multiplier,
40 effective_scale_shift, input_zero_point, output_zero_point,
43 } // namespace luci_interpreter_pal
45 #endif // LUCI_INTERPRETER_PAL_QUANTIZE_H