generator.prototxt

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
  }
}