From f559fffa49aa0adaeea43d01d5c238103ddce451 Mon Sep 17 00:00:00 2001 From: nihuini Date: Tue, 31 Oct 2023 14:14:29 +0800 Subject: [PATCH] test++ --- tests/test_deconvolution1d.cpp | 93 ++++++++++++++++++++++- tests/test_deconvolutiondepthwise1d.cpp | 99 ++++++++++++++++++++++++- 2 files changed, 190 insertions(+), 2 deletions(-) diff --git a/tests/test_deconvolution1d.cpp b/tests/test_deconvolution1d.cpp index 5b8cd6aec14..b1b24ee6af9 100644 --- a/tests/test_deconvolution1d.cpp +++ b/tests/test_deconvolution1d.cpp @@ -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 as(bias ? 3 : 2); + as[0] = a; + as[1] = RandomMat(kernel, outh, h); + if (bias) + as[2] = RandomMat(outh); + + std::vector weights(0); + + int ret = test_layer("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(); } diff --git a/tests/test_deconvolutiondepthwise1d.cpp b/tests/test_deconvolutiondepthwise1d.cpp index 21e53d7638c..cadd149ff59 100644 --- a/tests/test_deconvolutiondepthwise1d.cpp +++ b/tests/test_deconvolutiondepthwise1d.cpp @@ -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 as(bias ? 3 : 2); + as[0] = a; + as[1] = RandomMat(kernel, outh / group, h); + if (bias) + as[2] = RandomMat(outh); + + std::vector weights(0); + + int ret = test_layer("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(); }