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ncnn/benchmark/mobilenet.param

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  1. 7767517

  2. 112 112

  3. Input            data             0 1 data 0=3 1=224 2=224

  4. Convolution      conv1            1 1 data conv1 0=32 1=3 2=1 3=2 4=1 5=0 6=864

  5. BatchNorm        conv1/bn         1 1 conv1 conv1_conv1/bn 0=32

  6. Scale            conv1/scale      1 1 conv1_conv1/bn conv1_conv1/scale 0=32 1=1

  7. ReLU             relu1            1 1 conv1_conv1/scale conv1_relu1

  8. ConvolutionDepthWise conv2_1/dw       1 1 conv1_relu1 conv2_1/dw 0=32 1=3 2=1 3=1 4=1 5=0 6=288 7=32

  9. BatchNorm        conv2_1/dw/bn    1 1 conv2_1/dw conv2_1/dw_conv2_1/dw/bn 0=32

  10. Scale            conv2_1/dw/scale 1 1 conv2_1/dw_conv2_1/dw/bn conv2_1/dw_conv2_1/dw/scale 0=32 1=1

  11. ReLU             relu2_1/dw       1 1 conv2_1/dw_conv2_1/dw/scale conv2_1/dw_relu2_1/dw

  12. Convolution      conv2_1/sep      1 1 conv2_1/dw_relu2_1/dw conv2_1/sep 0=64 1=1 2=1 3=1 4=0 5=0 6=2048

  13. BatchNorm        conv2_1/sep/bn   1 1 conv2_1/sep conv2_1/sep_conv2_1/sep/bn 0=64

  14. Scale            conv2_1/sep/scale 1 1 conv2_1/sep_conv2_1/sep/bn conv2_1/sep_conv2_1/sep/scale 0=64 1=1

  15. ReLU             relu2_1/sep      1 1 conv2_1/sep_conv2_1/sep/scale conv2_1/sep_relu2_1/sep

  16. ConvolutionDepthWise conv2_2/dw       1 1 conv2_1/sep_relu2_1/sep conv2_2/dw 0=64 1=3 2=1 3=2 4=1 5=0 6=576 7=64

  17. BatchNorm        conv2_2/dw/bn    1 1 conv2_2/dw conv2_2/dw_conv2_2/dw/bn 0=64

  18. Scale            conv2_2/dw/scale 1 1 conv2_2/dw_conv2_2/dw/bn conv2_2/dw_conv2_2/dw/scale 0=64 1=1

  19. ReLU             relu2_2/dw       1 1 conv2_2/dw_conv2_2/dw/scale conv2_2/dw_relu2_2/dw

  20. Convolution      conv2_2/sep      1 1 conv2_2/dw_relu2_2/dw conv2_2/sep 0=128 1=1 2=1 3=1 4=0 5=0 6=8192

  21. BatchNorm        conv2_2/sep/bn   1 1 conv2_2/sep conv2_2/sep_conv2_2/sep/bn 0=128

  22. Scale            conv2_2/sep/scale 1 1 conv2_2/sep_conv2_2/sep/bn conv2_2/sep_conv2_2/sep/scale 0=128 1=1

  23. ReLU             relu2_2/sep      1 1 conv2_2/sep_conv2_2/sep/scale conv2_2/sep_relu2_2/sep

  24. ConvolutionDepthWise conv3_1/dw       1 1 conv2_2/sep_relu2_2/sep conv3_1/dw 0=128 1=3 2=1 3=1 4=1 5=0 6=1152 7=128

  25. BatchNorm        conv3_1/dw/bn    1 1 conv3_1/dw conv3_1/dw_conv3_1/dw/bn 0=128

  26. Scale            conv3_1/dw/scale 1 1 conv3_1/dw_conv3_1/dw/bn conv3_1/dw_conv3_1/dw/scale 0=128 1=1

  27. ReLU             relu3_1/dw       1 1 conv3_1/dw_conv3_1/dw/scale conv3_1/dw_relu3_1/dw

  28. Convolution      conv3_1/sep      1 1 conv3_1/dw_relu3_1/dw conv3_1/sep 0=128 1=1 2=1 3=1 4=0 5=0 6=16384

  29. BatchNorm        conv3_1/sep/bn   1 1 conv3_1/sep conv3_1/sep_conv3_1/sep/bn 0=128

  30. Scale            conv3_1/sep/scale 1 1 conv3_1/sep_conv3_1/sep/bn conv3_1/sep_conv3_1/sep/scale 0=128 1=1

  31. ReLU             relu3_1/sep      1 1 conv3_1/sep_conv3_1/sep/scale conv3_1/sep_relu3_1/sep

  32. ConvolutionDepthWise conv3_2/dw       1 1 conv3_1/sep_relu3_1/sep conv3_2/dw 0=128 1=3 2=1 3=2 4=1 5=0 6=1152 7=128

  33. BatchNorm        conv3_2/dw/bn    1 1 conv3_2/dw conv3_2/dw_conv3_2/dw/bn 0=128

  34. Scale            conv3_2/dw/scale 1 1 conv3_2/dw_conv3_2/dw/bn conv3_2/dw_conv3_2/dw/scale 0=128 1=1

  35. ReLU             relu3_2/dw       1 1 conv3_2/dw_conv3_2/dw/scale conv3_2/dw_relu3_2/dw

  36. Convolution      conv3_2/sep      1 1 conv3_2/dw_relu3_2/dw conv3_2/sep 0=256 1=1 2=1 3=1 4=0 5=0 6=32768

  37. BatchNorm        conv3_2/sep/bn   1 1 conv3_2/sep conv3_2/sep_conv3_2/sep/bn 0=256

  38. Scale            conv3_2/sep/scale 1 1 conv3_2/sep_conv3_2/sep/bn conv3_2/sep_conv3_2/sep/scale 0=256 1=1

  39. ReLU             relu3_2/sep      1 1 conv3_2/sep_conv3_2/sep/scale conv3_2/sep_relu3_2/sep

  40. ConvolutionDepthWise conv4_1/dw       1 1 conv3_2/sep_relu3_2/sep conv4_1/dw 0=256 1=3 2=1 3=1 4=1 5=0 6=2304 7=256

  41. BatchNorm        conv4_1/dw/bn    1 1 conv4_1/dw conv4_1/dw_conv4_1/dw/bn 0=256

  42. Scale            conv4_1/dw/scale 1 1 conv4_1/dw_conv4_1/dw/bn conv4_1/dw_conv4_1/dw/scale 0=256 1=1

  43. ReLU             relu4_1/dw       1 1 conv4_1/dw_conv4_1/dw/scale conv4_1/dw_relu4_1/dw

  44. Convolution      conv4_1/sep      1 1 conv4_1/dw_relu4_1/dw conv4_1/sep 0=256 1=1 2=1 3=1 4=0 5=0 6=65536

  45. BatchNorm        conv4_1/sep/bn   1 1 conv4_1/sep conv4_1/sep_conv4_1/sep/bn 0=256

  46. Scale            conv4_1/sep/scale 1 1 conv4_1/sep_conv4_1/sep/bn conv4_1/sep_conv4_1/sep/scale 0=256 1=1

  47. ReLU             relu4_1/sep      1 1 conv4_1/sep_conv4_1/sep/scale conv4_1/sep_relu4_1/sep

  48. ConvolutionDepthWise conv4_2/dw       1 1 conv4_1/sep_relu4_1/sep conv4_2/dw 0=256 1=3 2=1 3=2 4=1 5=0 6=2304 7=256

  49. BatchNorm        conv4_2/dw/bn    1 1 conv4_2/dw conv4_2/dw_conv4_2/dw/bn 0=256

  50. Scale            conv4_2/dw/scale 1 1 conv4_2/dw_conv4_2/dw/bn conv4_2/dw_conv4_2/dw/scale 0=256 1=1

  51. ReLU             relu4_2/dw       1 1 conv4_2/dw_conv4_2/dw/scale conv4_2/dw_relu4_2/dw

  52. Convolution      conv4_2/sep      1 1 conv4_2/dw_relu4_2/dw conv4_2/sep 0=512 1=1 2=1 3=1 4=0 5=0 6=131072

  53. BatchNorm        conv4_2/sep/bn   1 1 conv4_2/sep conv4_2/sep_conv4_2/sep/bn 0=512

  54. Scale            conv4_2/sep/scale 1 1 conv4_2/sep_conv4_2/sep/bn conv4_2/sep_conv4_2/sep/scale 0=512 1=1

  55. ReLU             relu4_2/sep      1 1 conv4_2/sep_conv4_2/sep/scale conv4_2/sep_relu4_2/sep

  56. ConvolutionDepthWise conv5_1/dw       1 1 conv4_2/sep_relu4_2/sep conv5_1/dw 0=512 1=3 2=1 3=1 4=1 5=0 6=4608 7=512

  57. BatchNorm        conv5_1/dw/bn    1 1 conv5_1/dw conv5_1/dw_conv5_1/dw/bn 0=512

  58. Scale            conv5_1/dw/scale 1 1 conv5_1/dw_conv5_1/dw/bn conv5_1/dw_conv5_1/dw/scale 0=512 1=1

  59. ReLU             relu5_1/dw       1 1 conv5_1/dw_conv5_1/dw/scale conv5_1/dw_relu5_1/dw

  60. Convolution      conv5_1/sep      1 1 conv5_1/dw_relu5_1/dw conv5_1/sep 0=512 1=1 2=1 3=1 4=0 5=0 6=262144

  61. BatchNorm        conv5_1/sep/bn   1 1 conv5_1/sep conv5_1/sep_conv5_1/sep/bn 0=512

  62. Scale            conv5_1/sep/scale 1 1 conv5_1/sep_conv5_1/sep/bn conv5_1/sep_conv5_1/sep/scale 0=512 1=1

  63. ReLU             relu5_1/sep      1 1 conv5_1/sep_conv5_1/sep/scale conv5_1/sep_relu5_1/sep

  64. ConvolutionDepthWise conv5_2/dw       1 1 conv5_1/sep_relu5_1/sep conv5_2/dw 0=512 1=3 2=1 3=1 4=1 5=0 6=4608 7=512

  65. BatchNorm        conv5_2/dw/bn    1 1 conv5_2/dw conv5_2/dw_conv5_2/dw/bn 0=512

  66. Scale            conv5_2/dw/scale 1 1 conv5_2/dw_conv5_2/dw/bn conv5_2/dw_conv5_2/dw/scale 0=512 1=1

  67. ReLU             relu5_2/dw       1 1 conv5_2/dw_conv5_2/dw/scale conv5_2/dw_relu5_2/dw

  68. Convolution      conv5_2/sep      1 1 conv5_2/dw_relu5_2/dw conv5_2/sep 0=512 1=1 2=1 3=1 4=0 5=0 6=262144

  69. BatchNorm        conv5_2/sep/bn   1 1 conv5_2/sep conv5_2/sep_conv5_2/sep/bn 0=512

  70. Scale            conv5_2/sep/scale 1 1 conv5_2/sep_conv5_2/sep/bn conv5_2/sep_conv5_2/sep/scale 0=512 1=1

  71. ReLU             relu5_2/sep      1 1 conv5_2/sep_conv5_2/sep/scale conv5_2/sep_relu5_2/sep

  72. ConvolutionDepthWise conv5_3/dw       1 1 conv5_2/sep_relu5_2/sep conv5_3/dw 0=512 1=3 2=1 3=1 4=1 5=0 6=4608 7=512

  73. BatchNorm        conv5_3/dw/bn    1 1 conv5_3/dw conv5_3/dw_conv5_3/dw/bn 0=512

  74. Scale            conv5_3/dw/scale 1 1 conv5_3/dw_conv5_3/dw/bn conv5_3/dw_conv5_3/dw/scale 0=512 1=1

  75. ReLU             relu5_3/dw       1 1 conv5_3/dw_conv5_3/dw/scale conv5_3/dw_relu5_3/dw

  76. Convolution      conv5_3/sep      1 1 conv5_3/dw_relu5_3/dw conv5_3/sep 0=512 1=1 2=1 3=1 4=0 5=0 6=262144

  77. BatchNorm        conv5_3/sep/bn   1 1 conv5_3/sep conv5_3/sep_conv5_3/sep/bn 0=512

  78. Scale            conv5_3/sep/scale 1 1 conv5_3/sep_conv5_3/sep/bn conv5_3/sep_conv5_3/sep/scale 0=512 1=1

  79. ReLU             relu5_3/sep      1 1 conv5_3/sep_conv5_3/sep/scale conv5_3/sep_relu5_3/sep

  80. ConvolutionDepthWise conv5_4/dw       1 1 conv5_3/sep_relu5_3/sep conv5_4/dw 0=512 1=3 2=1 3=1 4=1 5=0 6=4608 7=512

  81. BatchNorm        conv5_4/dw/bn    1 1 conv5_4/dw conv5_4/dw_conv5_4/dw/bn 0=512

  82. Scale            conv5_4/dw/scale 1 1 conv5_4/dw_conv5_4/dw/bn conv5_4/dw_conv5_4/dw/scale 0=512 1=1

  83. ReLU             relu5_4/dw       1 1 conv5_4/dw_conv5_4/dw/scale conv5_4/dw_relu5_4/dw

  84. Convolution      conv5_4/sep      1 1 conv5_4/dw_relu5_4/dw conv5_4/sep 0=512 1=1 2=1 3=1 4=0 5=0 6=262144

  85. BatchNorm        conv5_4/sep/bn   1 1 conv5_4/sep conv5_4/sep_conv5_4/sep/bn 0=512

  86. Scale            conv5_4/sep/scale 1 1 conv5_4/sep_conv5_4/sep/bn conv5_4/sep_conv5_4/sep/scale 0=512 1=1

  87. ReLU             relu5_4/sep      1 1 conv5_4/sep_conv5_4/sep/scale conv5_4/sep_relu5_4/sep

  88. ConvolutionDepthWise conv5_5/dw       1 1 conv5_4/sep_relu5_4/sep conv5_5/dw 0=512 1=3 2=1 3=1 4=1 5=0 6=4608 7=512

  89. BatchNorm        conv5_5/dw/bn    1 1 conv5_5/dw conv5_5/dw_conv5_5/dw/bn 0=512

  90. Scale            conv5_5/dw/scale 1 1 conv5_5/dw_conv5_5/dw/bn conv5_5/dw_conv5_5/dw/scale 0=512 1=1

  91. ReLU             relu5_5/dw       1 1 conv5_5/dw_conv5_5/dw/scale conv5_5/dw_relu5_5/dw

  92. Convolution      conv5_5/sep      1 1 conv5_5/dw_relu5_5/dw conv5_5/sep 0=512 1=1 2=1 3=1 4=0 5=0 6=262144

  93. BatchNorm        conv5_5/sep/bn   1 1 conv5_5/sep conv5_5/sep_conv5_5/sep/bn 0=512

  94. Scale            conv5_5/sep/scale 1 1 conv5_5/sep_conv5_5/sep/bn conv5_5/sep_conv5_5/sep/scale 0=512 1=1

  95. ReLU             relu5_5/sep      1 1 conv5_5/sep_conv5_5/sep/scale conv5_5/sep_relu5_5/sep

  96. ConvolutionDepthWise conv5_6/dw       1 1 conv5_5/sep_relu5_5/sep conv5_6/dw 0=512 1=3 2=1 3=2 4=1 5=0 6=4608 7=512

  97. BatchNorm        conv5_6/dw/bn    1 1 conv5_6/dw conv5_6/dw_conv5_6/dw/bn 0=512

  98. Scale            conv5_6/dw/scale 1 1 conv5_6/dw_conv5_6/dw/bn conv5_6/dw_conv5_6/dw/scale 0=512 1=1

  99. ReLU             relu5_6/dw       1 1 conv5_6/dw_conv5_6/dw/scale conv5_6/dw_relu5_6/dw

  100. Convolution      conv5_6/sep      1 1 conv5_6/dw_relu5_6/dw conv5_6/sep 0=1024 1=1 2=1 3=1 4=0 5=0 6=524288

  101. BatchNorm        conv5_6/sep/bn   1 1 conv5_6/sep conv5_6/sep_conv5_6/sep/bn 0=1024

  102. Scale            conv5_6/sep/scale 1 1 conv5_6/sep_conv5_6/sep/bn conv5_6/sep_conv5_6/sep/scale 0=1024 1=1

  103. ReLU             relu5_6/sep      1 1 conv5_6/sep_conv5_6/sep/scale conv5_6/sep_relu5_6/sep

  104. ConvolutionDepthWise conv6/dw         1 1 conv5_6/sep_relu5_6/sep conv6/dw 0=1024 1=3 2=1 3=1 4=1 5=0 6=9216 7=1024

  105. BatchNorm        conv6/dw/bn      1 1 conv6/dw conv6/dw_conv6/dw/bn 0=1024

  106. Scale            conv6/dw/scale   1 1 conv6/dw_conv6/dw/bn conv6/dw_conv6/dw/scale 0=1024 1=1

  107. ReLU             relu6/dw         1 1 conv6/dw_conv6/dw/scale conv6/dw_relu6/dw

  108. Convolution      conv6/sep        1 1 conv6/dw_relu6/dw conv6/sep 0=1024 1=1 2=1 3=1 4=0 5=0 6=1048576

  109. BatchNorm        conv6/sep/bn     1 1 conv6/sep conv6/sep_conv6/sep/bn 0=1024

  110. Scale            conv6/sep/scale  1 1 conv6/sep_conv6/sep/bn conv6/sep_conv6/sep/scale 0=1024 1=1

  111. ReLU             relu6/sep        1 1 conv6/sep_conv6/sep/scale conv6/sep_relu6/sep

  112. Pooling          pool6            1 1 conv6/sep_relu6/sep pool6 0=1 1=0 2=1 3=0 4=1

  113. Convolution      fc7              1 1 pool6 fc7 0=1000 1=1 2=1 3=1 4=0 5=1 6=1024000

  114. Softmax          prob             1 1 fc7 prob 0=0