111 lines
1.4 KiB
Plaintext
Executable File
111 lines
1.4 KiB
Plaintext
Executable File
name: "test"
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layer{
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name:"target"
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type:"Input"
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top:"target"
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input_param{
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shape:{dim:1 dim:3 dim:112 dim:112 }
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}
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}
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layer{
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name:"image"
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type:"Input"
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top:"image"
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input_param{
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shape:{dim:1 dim:3 dim:112 dim:112 }
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}
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}
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layer {
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name: "conv1_1"
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type: "Convolution"
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bottom: "target"
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top: "conv1_1"
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param {
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name: "conv1_1_w"
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lr_mult: 1
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decay_mult: 1
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}
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param {
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name: "conv1_1_b"
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 8
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pad: 1
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kernel_size: 3
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stride: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "relu1_1"
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type: "ReLU"
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bottom: "conv1_1"
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top: "conv1_1"
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}
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########################################
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layer {
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name: "conv1_1_p"
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type: "Convolution"
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bottom: "image"
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top: "conv1_1_p"
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param {
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name: "conv1_1_w"
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lr_mult: 1
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decay_mult: 1
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}
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param {
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name: "conv1_1_b"
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 8
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pad: 1
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kernel_size: 3
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stride: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0
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}
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}
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}
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layer {
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name: "relu1_1_p"
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type: "ReLU"
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bottom: "conv1_1_p"
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top: "conv1_1_p"
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}
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#########################
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layer {
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name: "pool_concat"
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type: "Concat"
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bottom: "conv1_1"
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bottom: "conv1_1_p"
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top: "pool_concat"
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concat_param {
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axis: 1
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}
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}
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