| /* 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. |
| ==============================================================================*/ |
| |
| #include "signal/src/filter_bank_log.h" |
| |
| #include "signal/src/log.h" |
| |
| namespace tflite { |
| namespace tflm_signal { |
| |
| void FilterbankLog(const uint32_t* input, int num_channels, |
| int32_t output_scale, uint32_t correction_bits, |
| int16_t* output) { |
| for (int i = 0; i < num_channels; ++i) { |
| const uint32_t scaled = input[i] << correction_bits; |
| if (scaled > 1) { |
| const uint32_t log_value = Log32(scaled, output_scale); |
| output[i] = ((log_value < static_cast<uint32_t>(INT16_MAX)) |
| ? log_value |
| : static_cast<uint32_t>(INT16_MAX)); |
| } else { |
| output[i] = 0; |
| } |
| } |
| } |
| |
| } // namespace tflm_signal |
| } // namespace tflite |