Files
ncnn/tests/test_inversespectrogram.cpp
2026-09-15 19:18:46 +08:00

137 lines
4.1 KiB
C++

// Copyright 2024 Tencent
// SPDX-License-Identifier: BSD-3-Clause
#include "testutil.h"
#include "layer_type.h"
#include <limits.h>
static int test_inversespectrogram(int frames, int freqs, int n_fft, int returns, int hoplen, int winlen, int window_type, int center, int normalized)
{
ncnn::Mat a = RandomMat(2, frames, freqs);
ncnn::ParamDict pd;
pd.set(0, n_fft);
pd.set(1, returns);
pd.set(2, hoplen);
pd.set(3, winlen);
pd.set(4, window_type);
pd.set(5, center);
pd.set(7, normalized);
std::vector<ncnn::Mat> weights(0);
int ret = test_layer("InverseSpectrogram", pd, weights, a);
if (ret != 0)
{
fprintf(stderr, "test_inversespectrogram failed frames=%d freqs=%d n_fft=%d returns=%d hoplen=%d winlen=%d window_type=%d center=%d normalized=%d\n", frames, freqs, n_fft, returns, hoplen, winlen, window_type, center, normalized);
}
return ret;
}
static int test_inversespectrogram_0()
{
return 0
|| test_inversespectrogram(17, 1, 1, 0, 1, 1, 0, 1, 0)
|| test_inversespectrogram(39, 9, 17, 0, 7, 15, 0, 0, 1)
|| test_inversespectrogram(128, 6, 10, 0, 2, 7, 1, 1, 1)
|| test_inversespectrogram(255, 17, 17, 1, 14, 17, 2, 0, 0)
|| test_inversespectrogram(124, 28, 55, 2, 12, 55, 1, 1, 2);
}
#if NCNN_VALIDATION
static int test_inversespectrogram_load_param()
{
ncnn::ParamDict base;
base.set(0, 16);
if (test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 0) != 0)
return -1;
int ret = 0
|| test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 0, 0, -1)
|| test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 0, -1, -1)
|| test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 3, 0, -1)
|| test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 3, -1, -1)
|| test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 3, 17, -1)
|| test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 2, 0, -1)
|| test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 4, 3, -1)
|| test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 7, 3, -1);
if (ret != 0)
return ret;
{
ncnn::ParamDict pd = base;
pd.set(0, INT_MAX);
pd.set(7, 2);
if (test_layer_param(ncnn::LayerType::InverseSpectrogram, pd, -1) != 0)
return -1;
}
{
ncnn::ParamDict pd = base;
pd.set(0, 1);
pd.set(7, 2);
pd.set(2, 1); // a one-sample FFT is valid with an explicit hop length
if (test_layer_param(ncnn::LayerType::InverseSpectrogram, pd, 0) != 0)
return -1;
}
if (sizeof(size_t) == 4)
{
// window allocation overflows on 32-bit platforms
const int n_ffts[] = {0x40000001, 0x40000000, 0x3fffffff, INT_MAX};
for (int i = 0; i < 4; i++)
{
for (int normalized = 0; normalized <= 2; normalized++)
{
ncnn::ParamDict pd = base;
pd.set(0, n_ffts[i]);
pd.set(7, normalized);
if (test_layer_param(ncnn::LayerType::InverseSpectrogram, pd, -1) != 0)
return -1;
}
}
}
return 0;
}
static int test_inversespectrogram_load_param_type()
{
ncnn::ParamDict base;
base.set(0, 16);
if (test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 0) != 0)
return -1;
for (int i = 0; i <= 2; i++)
{
if (test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 1, i, 0) != 0)
return -1;
}
const int invalid[] = {-1, 3, INT_MIN, INT_MAX};
for (int i = 0; i < 4; i++)
{
if (test_layer_param(ncnn::LayerType::InverseSpectrogram, base, 1, invalid[i], -1) != 0)
return -1;
}
return 0;
}
#endif // NCNN_VALIDATION
int main()
{
SRAND(7767517);
return 0
|| test_inversespectrogram_0()
#if NCNN_VALIDATION
|| test_inversespectrogram_load_param()
|| test_inversespectrogram_load_param_type()
#endif // NCNN_VALIDATION
;
}