| /* 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 TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_QUANTIZE_H_ |
| #define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_QUANTIZE_H_ |
| |
| #include <algorithm> |
| #include <limits> |
| |
| #include "tensorflow/lite/kernels/internal/common.h" |
| #include "tensorflow/lite/kernels/internal/compatibility.h" |
| #include "tensorflow/lite/kernels/internal/cppmath.h" |
| #include "tensorflow/lite/kernels/internal/types.h" |
| |
| namespace tflite { |
| |
| namespace reference_ops { |
| |
| template <typename InputT, typename OutputT> |
| inline void AffineQuantize(const tflite::QuantizationParams& op_params, |
| const RuntimeShape& input_shape, |
| const InputT* input_data, |
| const RuntimeShape& output_shape, |
| OutputT* output_data) { |
| const int32 zero_point = op_params.zero_point; |
| const double scale = op_params.scale; |
| const int flat_size = MatchingFlatSize(input_shape, output_shape); |
| static constexpr int32 min_val = std::numeric_limits<OutputT>::min(); |
| static constexpr int32 max_val = std::numeric_limits<OutputT>::max(); |
| |
| for (int i = 0; i < flat_size; i++) { |
| const InputT val = input_data[i]; |
| int32 unclamped = |
| static_cast<int32>(TfLiteRound(val / static_cast<float>(scale))) + |
| zero_point; |
| int32 clamped = std::min(std::max(unclamped, min_val), max_val); |
| output_data[i] = clamped; |
| } |
| } |
| |
| } // namespace reference_ops |
| |
| } // namespace tflite |
| #endif // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_QUANTIZE_H_ |