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test_deconvolutiondepthwise_1.cpp 4.6 kB

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  1. // Tencent is pleased to support the open source community by making ncnn available.
  2. //
  3. // Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
  4. //
  5. // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
  6. // in compliance with the License. You may obtain a copy of the License at
  7. //
  8. // https://opensource.org/licenses/BSD-3-Clause
  9. //
  10. // Unless required by applicable law or agreed to in writing, software distributed
  11. // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
  12. // CONDITIONS OF ANY KIND, either express or implied. See the License for the
  13. // specific language governing permissions and limitations under the License.
  14. #include "testutil.h"
  15. static int test_deconvolutiondepthwise_dynamic(int w, int h, int c, int outch, int kernel, int dilation, int stride, int pad, int bias, int group, int output_pad_right, int output_pad_bottom, int output_w, int output_h)
  16. {
  17. ncnn::Mat a = RandomMat(w, h, c);
  18. if (output_w > 0 && output_h > 0 && pad != -233 && pad != -234)
  19. {
  20. pad = -233;
  21. }
  22. ncnn::ParamDict pd;
  23. pd.set(0, 0);
  24. pd.set(1, 0);
  25. pd.set(2, dilation);
  26. pd.set(3, stride);
  27. pd.set(4, pad);
  28. pd.set(5, bias);
  29. pd.set(6, 0);
  30. pd.set(7, group);
  31. pd.set(28, 1); // dynamic weight
  32. int activation_type = RAND() % 5; // 0 1 2 3 4
  33. ncnn::Mat activation_params(2);
  34. activation_params[0] = RandomFloat(-1, 0); // alpha
  35. activation_params[1] = RandomFloat(0, 1); // beta
  36. pd.set(9, activation_type);
  37. pd.set(10, activation_params);
  38. pd.set(18, output_pad_right);
  39. pd.set(19, output_pad_bottom);
  40. pd.set(20, output_w);
  41. pd.set(21, output_h);
  42. std::vector<ncnn::Mat> as(bias ? 3 : 2);
  43. as[0] = a;
  44. as[1] = RandomMat(kernel, kernel, outch / group, c);
  45. if (bias)
  46. as[2] = RandomMat(outch);
  47. std::vector<ncnn::Mat> weights(0);
  48. int ret = test_layer("DeconvolutionDepthWise", pd, weights, as);
  49. if (ret != 0)
  50. {
  51. fprintf(stderr, "test_deconvolutiondepthwise_dynamic failed w=%d h=%d c=%d outch=%d kernel=%d dilation=%d stride=%d pad=%d bias=%d group=%d act=%d actparams=[%f,%f] output_pad_right=%d output_pad_bottom=%d output_w=%d output_h=%d\n", w, h, c, outch, kernel, dilation, stride, pad, bias, group, activation_type, activation_params[0], activation_params[1], output_pad_right, output_pad_bottom, output_w, output_h);
  52. }
  53. return ret;
  54. }
  55. static int test_deconvolutiondepthwise_0()
  56. {
  57. static const int kdsp[16][4] = {
  58. {1, 1, 1, 0},
  59. {1, 1, 2, 0},
  60. {2, 1, 1, 1},
  61. {2, 1, 2, -233},
  62. {3, 1, 1, 1},
  63. {3, 1, 2, 1},
  64. {3, 2, 1, 1},
  65. {4, 1, 1, -233},
  66. {4, 1, 2, -234},
  67. {4, 2, 1, -234},
  68. {5, 1, 1, 2},
  69. {5, 1, 2, 2},
  70. {5, 2, 2, 2},
  71. {7, 1, 1, 3},
  72. {7, 1, 2, 3},
  73. {7, 2, 1, -233},
  74. };
  75. for (int i = 0; i < 16; i++)
  76. {
  77. const int k = kdsp[i][0];
  78. const int d = kdsp[i][1];
  79. const int s = kdsp[i][2];
  80. const int p = kdsp[i][3];
  81. int ret = 0
  82. || test_deconvolutiondepthwise_dynamic(15, 7, 1, 1, k, d, s, p, 1, 1, 0, 0, 0, 0)
  83. || test_deconvolutiondepthwise_dynamic(15, 7, 2, 2, k, d, s, p, 0, 1, 1, 1, 7, 5)
  84. || test_deconvolutiondepthwise_dynamic(15, 7, 2, 2, k, d, s, p, 1, 2, 1, 0, 0, 0)
  85. || test_deconvolutiondepthwise_dynamic(15, 7, 3, 3, k, d, s, p, 0, 3, 0, 1, 0, 0)
  86. || test_deconvolutiondepthwise_dynamic(15, 7, 4, 2, k, d, s, p, 1, 2, 0, 0, 7, 5)
  87. || test_deconvolutiondepthwise_dynamic(15, 7, 4, 4, k, d, s, p, 0, 4, 2, 2, 0, 0)
  88. || test_deconvolutiondepthwise_dynamic(15, 7, 7, 7, k, d, s, p, 1, 7, 2, 0, 0, 0)
  89. || test_deconvolutiondepthwise_dynamic(15, 7, 8, 8, k, d, s, p, 0, 2, 0, 2, 7, 5)
  90. || test_deconvolutiondepthwise_dynamic(15, 7, 8, 8, k, d, s, p, 1, 8, 0, 0, 0, 0)
  91. || test_deconvolutiondepthwise_dynamic(15, 7, 12, 12, k, d, s, p, 0, 4, 3, 3, 0, 0)
  92. || test_deconvolutiondepthwise_dynamic(15, 7, 15, 15, k, d, s, p, 1, 15, 3, 0, 7, 5)
  93. || test_deconvolutiondepthwise_dynamic(15, 7, 16, 8, k, d, s, p, 0, 2, 0, 3, 0, 0)
  94. || test_deconvolutiondepthwise_dynamic(15, 7, 16, 16, k, d, s, p, 1, 16, 0, 0, 0, 0);
  95. if (ret != 0)
  96. return -1;
  97. }
  98. return 0;
  99. }
  100. int main()
  101. {
  102. SRAND(7767517);
  103. return test_deconvolutiondepthwise_0();
  104. }