| /* Copyright 2023 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. |
| ==============================================================================*/ |
| |
| #include "signal/src/fft_auto_scale.h" |
| |
| #include <stddef.h> |
| #include <stdint.h> |
| |
| #include "signal/src/max_abs.h" |
| #include "signal/src/msb.h" |
| |
| // TODO(b/286250473): remove namespace once de-duped libraries |
| namespace tflite { |
| namespace tflm_signal { |
| |
| int FftAutoScale(const int16_t* input, int size, int16_t* output) { |
| const int16_t max = MaxAbs16(input, size); |
| int scale_bits = (sizeof(int16_t) * 8) - MostSignificantBit32(max) - 1; |
| if (scale_bits <= 0) { |
| scale_bits = 0; |
| } |
| for (int i = 0; i < size; i++) { |
| // (input[i] << scale_bits) is undefined if input[i] is negative. |
| // Multiply explicitly to make the code portable. |
| output[i] = input[i] * (1 << scale_bits); |
| } |
| return scale_bits; |
| } |
| } // namespace tflm_signal |
| } // namespace tflite |