blob: 572494e52974cd433f0344bb2e2a18eb5ed0d1f1 [file] [log] [blame]
/* 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 <stddef.h>
#include <stdint.h>
#include "signal/src/complex.h"
#include "signal/src/kiss_fft_wrappers/kiss_fft_int32.h"
#include "signal/src/rfft.h"
// TODO(b/286250473): remove namespace once de-duped libraries
namespace tflm_signal {
size_t RfftInt32GetNeededMemory(int32_t fft_length) {
size_t state_size = 0;
kiss_fft_fixed32::kiss_fftr_alloc(fft_length, 0, nullptr, &state_size);
return state_size;
}
void* RfftInt32Init(int32_t fft_length, void* state, size_t state_size) {
return kiss_fft_fixed32::kiss_fftr_alloc(fft_length, 0, state, &state_size);
}
void RfftInt32Apply(void* state, const int32_t* input,
Complex<int32_t>* output) {
kiss_fft_fixed32::kiss_fftr(
static_cast<kiss_fft_fixed32::kiss_fftr_cfg>(state),
reinterpret_cast<const kiss_fft_scalar*>(input),
reinterpret_cast<kiss_fft_fixed32::kiss_fft_cpx*>(output));
}
} // namespace tflm_signal