// Copyright 2019 Tencent // SPDX-License-Identifier: BSD-3-Clause #include "testutil.h" static int test_deformableconv2d(int w, int h, int c, int outch, int kernel, int dilation, int stride, int pad, int bias) { const int kernel_extent_w = dilation * (kernel - 1) + 1; const int kernel_extent_h = dilation * (kernel - 1) + 1; const int out_w = (w + pad + pad - kernel_extent_w) / stride + 1; const int out_h = (h + pad + pad - kernel_extent_h) / stride + 1; std::vector a(3); a[0] = RandomMat(w, h, c); a[1] = RandomMat(out_w, out_h, kernel * kernel * 2); a[2] = RandomMat(out_w, out_h, kernel * kernel); ncnn::ParamDict pd; pd.set(0, outch); pd.set(1, kernel); pd.set(2, dilation); pd.set(3, stride); pd.set(4, pad); pd.set(5, bias); pd.set(6, outch * c * kernel * kernel); int activation_type = RAND() % 7; // 0 1 2 3 4 5 6 ncnn::Mat activation_params(2); activation_params[0] = (activation_type == 6) ? RandomFloat(0, 1) : RandomFloat(-1, 0); // alpha activation_params[1] = RandomFloat(0, 1); // beta pd.set(9, activation_type); pd.set(10, activation_params); std::vector weights(bias ? 2 : 1); weights[0] = RandomMat(outch * c * kernel * kernel); if (bias) weights[1] = RandomMat(outch); float epsilon = 0.001; int ret = test_layer("DeformableConv2D", pd, weights, a, 1, epsilon); if (ret != 0) { fprintf(stderr, "test_deformableconv2d failed w=%d h=%d c=%d outch=%d kernel=%d dilation=%d stride=%d pad=%d bias=%d act=%d actparams=[%f,%f]\n", w, h, c, outch, kernel, dilation, stride, pad, bias, activation_type, activation_params[0], activation_params[1]); } return ret; } static int test_deformableconv2d_0() { return 0 || test_deformableconv2d(7, 5, 24, 32, 4, 2, 2, 2, 1) || test_deformableconv2d(7, 5, 32, 24, 4, 2, 2, 2, 1) || test_deformableconv2d(7, 5, 28, 32, 4, 2, 2, 2, 1) || test_deformableconv2d(7, 5, 32, 28, 4, 2, 2, 2, 1) || test_deformableconv2d(7, 5, 26, 32, 4, 2, 2, 2, 1) || test_deformableconv2d(7, 5, 32, 26, 4, 2, 2, 2, 1); } int main() { SRAND(7767517); return test_deformableconv2d_0(); }