  layer {   name: "conv0"   type: "Convolution"   bottom: "data"   top: "conv0"   convolution_param {     num_output: 00     kernel_size: 0     stride: 0     pad: 0     weight_filler {       type: "msra"     }     bias_filler {       type: "constant"     }   } }  layer {   name: "prelu0"   type: "PReLU"   bottom: "conv0"   top: "conv0" }  layer {   name: "conv0"   type: "Convolution"   bottom: "conv0"   top: "conv0"   convolution_param {     num_output: 00     kernel_size: 0     stride: 0     pad: 0     weight_filler {       type: "msra"     }     bias_filler {       type: "constant"     }   } }  layer {   name: "prelu0"   type: "PReLU"   bottom: "conv0"   top: "conv0" }  layer {   name: "conv0"   type: "Convolution"   bottom: "conv0"   top: "conv0"   convolution_param {     num_output: 00     kernel_size: 0     stride: 0     pad: 0     weight_filler {       type: "msra"     }     bias_filler {       type: "constant"     }   } }  layer {   name: "prelu0"   type: "PReLU"   bottom: "conv0"   top: "conv0" }  layer {   name: "conv0"   type: "Convolution"   bottom: "conv0"   top: "conv0"   convolution_param {     num_output: 00     kernel_size: 0     stride: 0     pad: 0     weight_filler {       type: "msra"     }     bias_filler {       type: "constant"     }   } }  layer {   name: "prelu0"   type: "PReLU"   bottom: "conv0"   top: "conv0" }  layer {   name: "conv0"   type: "Convolution"   bottom: "conv0"   top: "conv0"   convolution_param {     num_output: 00     kernel_size: 0     stride: 0     pad: 0     weight_filler {       type: "msra"     }     bias_filler {       type: "constant"     }   } }  layer {   name: "prelu0"   type: "PReLU"   bottom: "conv0"   top: "conv0" }  layer {   name: "conv0"   type: "Convolution"   bottom: "conv0"   top: "conv0"   convolution_param {     num_output: 00     kernel_size: 0     stride: 0     pad: 0     weight_filler {       type: "msra"     }     bias_filler {       type: "constant"     }   } }  layer {   name: "prelu0"   type: "PReLU"   bottom: "conv0"   top: "conv0" }  layer {   name: "conv0"   type: "Convolution"   bottom: "conv0"   top: "conv0"   convolution_param {     num_output: 00     kernel_size: 0     stride: 0     pad: 0     weight_filler {       type: "msra"     }     bias_filler {       type: "constant"     }   } }  layer {   name: "prelu0"   type: "PReLU"   bottom: "conv0"   top: "conv0" }  layer {   name: "