res/BVLCCaffeTests/residual/test.prototxt


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72

name: "residual"
layer {
  name: "input"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 31
      dim: 31
    }
  }
}
layer {
  name: "MaxPool2dBackward4"
  type: "Pooling"
  bottom: "data"
  top: "MaxPool2dBackward4"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
    pad: 1
  }
}
layer {
  name: "ConvNdBackward5"
  type: "Convolution"
  bottom: "MaxPool2dBackward4"
  top: "ConvNdBackward5"
  convolution_param {
    num_output: 5
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride: 1
    bias_term: false
  }
}
layer {
  name: "ThresholdBackward7"
  type: "ReLU"
  bottom: "ConvNdBackward5"
  top: "ConvNdBackward5"
}
layer {
  name: "ConvNdBackward8"
  type: "Convolution"
  bottom: "ConvNdBackward5"
  top: "ConvNdBackward8"
  convolution_param {
    num_output: 3
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride: 1
    bias_term: false
  }
}
layer {
  name: "AddBackward11"
  type: "Eltwise"
  bottom: "ConvNdBackward8"
  bottom: "MaxPool2dBackward4"
  top: "AddBackward11"
  eltwise_param {
    operation: SUM
  }
}