Created
April 10, 2017 11:57
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| input: "feat" | |
| input_shape { | |
| dim: 1 | |
| dim: 4096 | |
| } | |
| force_backward: true | |
| layer { | |
| name: "defc7" | |
| type: "InnerProduct" | |
| bottom: "feat" | |
| top: "defc7" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 4096 | |
| } | |
| } | |
| layer { | |
| name: "relu_defc7" | |
| type: "ReLU" | |
| bottom: "defc7" | |
| top: "defc7" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "defc6" | |
| type: "InnerProduct" | |
| bottom: "defc7" | |
| top: "defc6" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 4096 | |
| } | |
| } | |
| layer { | |
| name: "relu_defc6" | |
| type: "ReLU" | |
| bottom: "defc6" | |
| top: "defc6" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "defc5" | |
| type: "InnerProduct" | |
| bottom: "defc6" | |
| top: "defc5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 4096 | |
| } | |
| } | |
| layer { | |
| name: "relu_defc5" | |
| type: "ReLU" | |
| bottom: "defc5" | |
| top: "defc5" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "reshape" | |
| type: "Reshape" | |
| bottom: "defc5" | |
| top: "reshape_defc5" | |
| reshape_param { | |
| shape { | |
| dim: 1 | |
| dim: 256 | |
| dim: 4 | |
| dim: 4 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "deconv5" | |
| type: "Deconvolution" | |
| bottom: "reshape_defc5" | |
| top: "deconv5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 4 | |
| stride: 2 | |
| engine: CUDNN | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv5" | |
| type: "ReLU" | |
| bottom: "deconv5" | |
| top: "deconv5" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "conv5_1" | |
| type: "Deconvolution" | |
| bottom: "deconv5" | |
| top: "conv5_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| engine: CUDNN | |
| } | |
| } | |
| layer { | |
| name: "relu_conv5_1" | |
| type: "ReLU" | |
| bottom: "conv5_1" | |
| top: "conv5_1" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "deconv4" | |
| type: "Deconvolution" | |
| bottom: "conv5_1" | |
| top: "deconv4" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 4 | |
| stride: 2 | |
| engine: CUDNN | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv4" | |
| type: "ReLU" | |
| bottom: "deconv4" | |
| top: "deconv4" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "conv4_1" | |
| type: "Deconvolution" | |
| bottom: "deconv4" | |
| top: "conv4_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| engine: CUDNN | |
| } | |
| } | |
| layer { | |
| name: "relu_conv4_1" | |
| type: "ReLU" | |
| bottom: "conv4_1" | |
| top: "conv4_1" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "deconv3" | |
| type: "Deconvolution" | |
| bottom: "conv4_1" | |
| top: "deconv3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 4 | |
| stride: 2 | |
| engine: CUDNN | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv3" | |
| type: "ReLU" | |
| bottom: "deconv3" | |
| top: "deconv3" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "conv3_1" | |
| type: "Deconvolution" | |
| bottom: "deconv3" | |
| top: "conv3_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| engine: CUDNN | |
| } | |
| } | |
| layer { | |
| name: "relu_conv3_1" | |
| type: "ReLU" | |
| bottom: "conv3_1" | |
| top: "conv3_1" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "deconv2" | |
| type: "Deconvolution" | |
| bottom: "conv3_1" | |
| top: "deconv2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 4 | |
| stride: 2 | |
| engine: CUDNN | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv2" | |
| type: "ReLU" | |
| bottom: "deconv2" | |
| top: "deconv2" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "deconv1" | |
| type: "Deconvolution" | |
| bottom: "deconv2" | |
| top: "deconv1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 1 | |
| kernel_size: 4 | |
| stride: 2 | |
| engine: CUDNN | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv1" | |
| type: "ReLU" | |
| bottom: "deconv1" | |
| top: "deconv1" | |
| relu_param { | |
| negative_slope: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "deconv0" | |
| type: "Deconvolution" | |
| bottom: "deconv1" | |
| top: "deconv0" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 3 | |
| pad: 1 | |
| kernel_size: 4 | |
| stride: 2 | |
| engine: CUDNN | |
| } | |
| } |
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