| /* Copyright 2020 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_COMPILER_MLIR_LITE_QUANTIZATION_NUMERICAL_UTILS_H_ |
| #define TENSORFLOW_COMPILER_MLIR_LITE_QUANTIZATION_NUMERICAL_UTILS_H_ |
| |
| #include <cstdint> |
| #include <utility> |
| |
| namespace mlir { |
| namespace quant { |
| |
| using QuantizedMultiplier = std::pair<int32_t, int32_t>; |
| |
| // Decompose double precision multiplier to integer multiplier and exponent. |
| // double_multiplier = int_multiplier * 2 ^ (-31 + exponent) |
| // int_multiplier will be range of (2^31, 2^30]. |
| QuantizedMultiplier QuantizeMultiplier(double double_multiplier); |
| |
| } // namespace quant |
| } // namespace mlir |
| |
| #endif // TENSORFLOW_COMPILER_MLIR_LITE_QUANTIZATION_NUMERICAL_UTILS_H_ |