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deconvolutiondepthwise_group_pack4.comp 3.5 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. #version 450
  15. layout (constant_id = 0) const int kernel_w = 1;
  16. layout (constant_id = 1) const int kernel_h = 1;
  17. layout (constant_id = 2) const int dilation_w = 1;
  18. layout (constant_id = 3) const int dilation_h = 1;
  19. layout (constant_id = 4) const int stride_w = 1;
  20. layout (constant_id = 5) const int stride_h = 1;
  21. layout (constant_id = 6) const int bias_term = 0;
  22. layout (constant_id = 7) const int group = 1;
  23. layout (local_size_x_id = 233) in;
  24. layout (local_size_y_id = 234) in;
  25. layout (local_size_z_id = 235) in;
  26. layout (binding = 0) readonly buffer bottom_blob { vec4 bottom_blob_data[]; };
  27. layout (binding = 1) writeonly buffer top_blob { vec4 top_blob_data[]; };
  28. layout (binding = 2) readonly buffer weight_blob { mat4 weight_data[]; };
  29. layout (binding = 3) readonly buffer bias_blob { vec4 bias_data[]; };
  30. layout (push_constant) uniform parameter
  31. {
  32. int dims;
  33. int w;
  34. int h;
  35. int c;
  36. int cstep;
  37. int outdims;
  38. int outw;
  39. int outh;
  40. int outc;
  41. int outcstep;
  42. } p;
  43. void main()
  44. {
  45. int gx = int(gl_GlobalInvocationID.x);
  46. int gy = int(gl_GlobalInvocationID.y);
  47. int gz = int(gl_GlobalInvocationID.z);
  48. if (gx >= p.outw || gy >= p.outh || gz >= p.outc)
  49. return;
  50. vec4 sum;
  51. if (bias_term == 1)
  52. {
  53. sum = bias_data[gz];
  54. }
  55. else
  56. {
  57. sum = vec4(0.f);
  58. }
  59. const int kernel_extent_w = dilation_w * (kernel_w - 1) + 1;
  60. const int kernel_extent_h = dilation_h * (kernel_h - 1) + 1;
  61. // group convolution
  62. const int channels_g = p.c / group;
  63. const int num_output_g = p.outc / group;
  64. // group id
  65. const int gg = gz / num_output_g;
  66. int w_offset_0 = gz * channels_g * kernel_w * kernel_h;
  67. int v_offset_0 = gg * channels_g * p.cstep;
  68. for (int y = 0; y < kernel_h; y++)
  69. {
  70. int sys = (gy + y * dilation_h - (kernel_extent_h - 1));
  71. if (sys % stride_h != 0)
  72. continue;
  73. int sy = sys / stride_h;
  74. if (sy < 0 || sy >= p.h)
  75. continue;
  76. for (int x = 0; x < kernel_w; x++)
  77. {
  78. int sxs = (gx + x * dilation_w - (kernel_extent_w - 1));
  79. if (sxs % stride_w != 0)
  80. continue;
  81. int sx = sxs / stride_w;
  82. if (sx < 0 || sx >= p.w)
  83. continue;
  84. int v_offset = v_offset_0 + sy * p.w + sx;
  85. int w_offset = w_offset_0 + y * kernel_w + x;
  86. for (int z = 0; z < channels_g; z++)
  87. {
  88. vec4 v = bottom_blob_data[v_offset];
  89. mat4 k = weight_data[w_offset];
  90. sum += v * k;
  91. v_offset += p.cstep;
  92. w_offset += kernel_w * kernel_h;
  93. }
  94. }
  95. }
  96. top_blob_data[gz * p.outcstep + gy * p.outw + gx] = sum;
  97. }