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test++
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@nihui
nihui committed Oct 31, 2023
1 parent 3498208 commit f559fff
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Showing 2 changed files with 190 additions and 2 deletions.
93 changes: 92 additions & 1 deletion tests/test_deconvolution1d.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -101,9 +101,100 @@ static int test_deconvolution1d_0()
return 0;
}

static int test_deconvolution1d_dynamic(int w, int h, int outh, int kernel, int dilation, int stride, int pad, int bias, int output_pad_right, int output_w)
{
ncnn::Mat a = RandomMat(w, h);

if (output_w > 0 && pad != -233 && pad != -234)
{
pad = -233;
}

ncnn::ParamDict pd;
pd.set(0, 0);
pd.set(1, 0);
pd.set(2, dilation);
pd.set(3, stride);
pd.set(4, pad);
pd.set(5, bias);
pd.set(6, 0);
pd.set(28, 1); // dynamic weight

int activation_type = RAND() % 5; // 0 1 2 3 4
ncnn::Mat activation_params(2);
activation_params[0] = RandomFloat(-1, 0); // alpha
activation_params[1] = RandomFloat(0, 1); // beta
pd.set(9, activation_type);
pd.set(10, activation_params);

pd.set(18, output_pad_right);
pd.set(20, output_w);

std::vector<ncnn::Mat> as(bias ? 3 : 2);
as[0] = a;
as[1] = RandomMat(kernel, outh, h);
if (bias)
as[2] = RandomMat(outh);

std::vector<ncnn::Mat> weights(0);

int ret = test_layer<ncnn::Deconvolution1D>("Deconvolution1D", pd, weights, as);
if (ret != 0)
{
fprintf(stderr, "test_deconvolution1d_dynamic failed w=%d h=%d outh=%d kernel=%d dilation=%d stride=%d pad=%d bias=%d act=%d actparams=[%f,%f] output_pad_right=%d output_w=%d\n", w, h, outh, kernel, dilation, stride, pad, bias, activation_type, activation_params[0], activation_params[1], output_pad_right, output_w);
}

return ret;
}

static int test_deconvolution1d_1()
{
static const int kdsp[16][4] = {
{1, 1, 1, 0},
{1, 1, 2, 0},
{2, 1, 1, 1},
{2, 1, 2, -233},
{3, 1, 1, 1},
{3, 1, 2, 1},
{3, 2, 1, 1},
{4, 1, 1, -233},
{4, 1, 2, -234},
{4, 2, 1, -234},
{5, 1, 1, 2},
{5, 1, 2, 2},
{5, 2, 2, 2},
{7, 1, 1, 3},
{7, 1, 2, 3},
{7, 2, 1, -233},
};

for (int i = 0; i < 16; i++)
{
const int k = kdsp[i][0];
const int d = kdsp[i][1];
const int s = kdsp[i][2];
const int p = kdsp[i][3];

int ret = 0
|| test_deconvolution1d_dynamic(9, 1, 1, k, d, s, p, 1, 0, 0)
|| test_deconvolution1d_dynamic(9, 4, 13, k, d, s, p, 0, 1, 7)
|| test_deconvolution1d_dynamic(9, 13, 4, k, d, s, p, 1, 1, 0)
|| test_deconvolution1d_dynamic(9, 4, 8, k, d, s, p, 0, 0, 0)
|| test_deconvolution1d_dynamic(9, 8, 4, k, d, s, p, 1, 0, 7)
|| test_deconvolution1d_dynamic(9, 8, 13, k, d, s, p, 0, 2, 0)
|| test_deconvolution1d_dynamic(9, 13, 8, k, d, s, p, 1, 2, 0)
|| test_deconvolution1d_dynamic(9, 16, 16, k, d, s, p, 0, 0, 7);

if (ret != 0)
return -1;
}

return 0;
}

int main()
{
SRAND(7767517);

return test_deconvolution1d_0();
return test_deconvolution1d_0() || test_deconvolution1d_1();
}
99 changes: 98 additions & 1 deletion tests/test_deconvolutiondepthwise1d.cpp
View file
Original file line number Diff line number Diff line change
Expand Up @@ -107,9 +107,106 @@ static int test_deconvolutiondepthwise1d_0()
return 0;
}

static int test_deconvolutiondepthwise1d_dynamic(int w, int h, int outh, int kernel, int dilation, int stride, int pad, int bias, int group, int output_pad_right, int output_w)
{
ncnn::Mat a = RandomMat(w, h);

if (output_w > 0 && pad != -233 && pad != -234)
{
pad = -233;
}

ncnn::ParamDict pd;
pd.set(0, 0);
pd.set(1, 0);
pd.set(2, dilation);
pd.set(3, stride);
pd.set(4, pad);
pd.set(5, bias);
pd.set(6, 0);
pd.set(7, group);
pd.set(28, 1); // dynamic weight

int activation_type = RAND() % 5; // 0 1 2 3 4
ncnn::Mat activation_params(2);
activation_params[0] = RandomFloat(-1, 0); // alpha
activation_params[1] = RandomFloat(0, 1); // beta
pd.set(9, activation_type);
pd.set(10, activation_params);

pd.set(18, output_pad_right);
pd.set(20, output_w);

std::vector<ncnn::Mat> as(bias ? 3 : 2);
as[0] = a;
as[1] = RandomMat(kernel, outh / group, h);
if (bias)
as[2] = RandomMat(outh);

std::vector<ncnn::Mat> weights(0);

int ret = test_layer<ncnn::DeconvolutionDepthWise1D>("DeconvolutionDepthWise1D", pd, weights, as);
if (ret != 0)
{
fprintf(stderr, "test_deconvolutiondepthwise1d_dynamic failed w=%d h=%d outh=%d kernel=%d dilation=%d stride=%d pad=%d bias=%d group=%d act=%d actparams=[%f,%f] output_pad_right=%d output_w=%d\n", w, h, outh, kernel, dilation, stride, pad, bias, group, activation_type, activation_params[0], activation_params[1], output_pad_right, output_w);
}

return ret;
}

static int test_deconvolutiondepthwise1d_1()
{
static const int kdsp[16][4] = {
{1, 1, 1, 0},
{1, 1, 2, 0},
{2, 1, 1, 1},
{2, 1, 2, -233},
{3, 1, 1, 1},
{3, 1, 2, 1},
{3, 2, 1, 1},
{4, 1, 1, -233},
{4, 1, 2, -234},
{4, 2, 1, -234},
{5, 1, 1, 2},
{5, 1, 2, 2},
{5, 2, 2, 2},
{7, 1, 1, 3},
{7, 1, 2, 3},
{7, 2, 1, -233},
};

for (int i = 0; i < 16; i++)
{
const int k = kdsp[i][0];
const int d = kdsp[i][1];
const int s = kdsp[i][2];
const int p = kdsp[i][3];

int ret = 0
|| test_deconvolutiondepthwise1d_dynamic(15, 1, 1, k, d, s, p, 1, 1, 0, 0)
|| test_deconvolutiondepthwise1d_dynamic(15, 2, 2, k, d, s, p, 0, 1, 1, 7)
|| test_deconvolutiondepthwise1d_dynamic(15, 2, 2, k, d, s, p, 1, 2, 1, 0)
|| test_deconvolutiondepthwise1d_dynamic(15, 3, 3, k, d, s, p, 0, 3, 0, 0)
|| test_deconvolutiondepthwise1d_dynamic(15, 4, 2, k, d, s, p, 1, 2, 0, 7)
|| test_deconvolutiondepthwise1d_dynamic(15, 4, 4, k, d, s, p, 0, 4, 2, 0)
|| test_deconvolutiondepthwise1d_dynamic(15, 7, 7, k, d, s, p, 1, 7, 2, 0)
|| test_deconvolutiondepthwise1d_dynamic(15, 8, 8, k, d, s, p, 0, 2, 0, 7)
|| test_deconvolutiondepthwise1d_dynamic(15, 8, 8, k, d, s, p, 1, 8, 0, 0)
|| test_deconvolutiondepthwise1d_dynamic(15, 12, 12, k, d, s, p, 0, 4, 3, 0)
|| test_deconvolutiondepthwise1d_dynamic(15, 15, 15, k, d, s, p, 1, 15, 3, 7)
|| test_deconvolutiondepthwise1d_dynamic(15, 16, 8, k, d, s, p, 0, 2, 0, 0)
|| test_deconvolutiondepthwise1d_dynamic(15, 16, 16, k, d, s, p, 1, 16, 0, 0);

if (ret != 0)
return -1;
}

return 0;
}

int main()
{
SRAND(7767517);

return test_deconvolutiondepthwise1d_0();
return test_deconvolutiondepthwise1d_0() || test_deconvolutiondepthwise1d_1();
}

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