layer {
  name: "input_1"
  type: "Input"
  top: "input_1"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 512
      dim: 1024
    }
  }
}
layer {
  name: "conv0_0"
  type: "Convolution"
  bottom: "input_1"
  top: "conv0_0"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 3
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "conv0_0_relu"
  type: "ReLU"
  bottom: "conv0_0"
  top: "conv0_0_relu"
}
layer {
  name: "conv0_2"
  type: "Convolution"
  bottom: "conv0_0_relu"
  top: "conv0_2"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 2
    kernel_size: 5
    stride: 1
  }
}
layer {
  name: "conv0_2_relu"
  type: "ReLU"
  bottom: "conv0_2"
  top: "conv0_2_relu"
}
layer {
  name: "conv0_4"
  type: "Convolution"
  bottom: "conv0_2_relu"
  top: "conv0_4"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "conv0_4_relu"
  type: "ReLU"
  bottom: "conv0_4"
  top: "conv0_4_relu"
}
layer {
  name: "conv1_0"
  type: "Convolution"
  bottom: "conv0_4_relu"
  top: "conv1_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 2
    kernel_size: 5
    stride: 1
  }
}
layer {
  name: "conv1_0_relu"
  type: "ReLU"
  bottom: "conv1_0"
  top: "conv1_0_relu"
}
layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_0_relu"
  top: "conv1_2"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv1_2_relu"
  type: "ReLU"
  bottom: "conv1_2"
  top: "conv1_2_relu"
}
layer {
  name: "conv1_3"
  type: "Convolution"
  bottom: "conv1_2_relu"
  top: "conv1_3"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv1_3_relu"
  type: "ReLU"
  bottom: "conv1_3"
  top: "conv1_3_relu"
}
layer {
  name: "conv1_4"
  type: "Convolution"
  bottom: "conv1_3_relu"
  top: "conv1_4"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv1_4_relu"
  type: "ReLU"
  bottom: "conv1_4"
  top: "conv1_4_relu"
}
layer {
  name: "inception1_t0_0"
  type: "Convolution"
  bottom: "conv1_4_relu"
  top: "inception1_t0_0"
  convolution_param {
    num_output: 48
    bias_term: true
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception1_t1_0"
  type: "Convolution"
  bottom: "conv1_4_relu"
  top: "inception1_t1_0"
  convolution_param {
    num_output: 48
    bias_term: true
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception1_t0_0_relu"
  type: "ReLU"
  bottom: "inception1_t0_0"
  top: "inception1_t0_0_relu"
}
layer {
  name: "inception1_t1_0_relu"
  type: "ReLU"
  bottom: "inception1_t1_0"
  top: "inception1_t1_0_relu"
}
layer {
  name: "inception1_t3_0"
  type: "Pooling"
  bottom: "conv1_4_relu"
  top: "inception1_t3_0"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "inception1_t0_1"
  type: "Convolution"
  bottom: "inception1_t0_0_relu"
  top: "inception1_t0_1"
  convolution_param {
    num_output: 48
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception1_t1_1"
  type: "Convolution"
  bottom: "inception1_t1_0_relu"
  top: "inception1_t1_1"
  convolution_param {
    num_output: 48
    bias_term: true
    pad: 2
    kernel_size: 5
    stride: 2
  }
}
layer {
  name: "inception1_t3_1"
  type: "Convolution"
  bottom: "inception1_t3_0"
  top: "inception1_t3_1"
  convolution_param {
    num_output: 48
    bias_term: true
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception1_t0_1_relu"
  type: "ReLU"
  bottom: "inception1_t0_1"
  top: "inception1_t0_1_relu"
}
layer {
  name: "inception1_t1_1_relu"
  type: "ReLU"
  bottom: "inception1_t1_1"
  top: "inception1_t1_1_relu"
}
layer {
  name: "inception1_t3_1_relu"
  type: "ReLU"
  bottom: "inception1_t3_1"
  top: "inception1_t3_1_relu"
}
layer {
  name: "inception1concat"
  type: "Concat"
  bottom: "inception1_t0_1_relu"
  bottom: "inception1_t1_1_relu"
  bottom: "inception1_t3_1_relu"
  top: "inception1concat"
}
layer {
  name: "inception1_dim_red"
  type: "Convolution"
  bottom: "inception1concat"
  top: "inception1_dim_red"
  convolution_param {
    num_output: 64
    bias_term: true
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception1_dim_red_relu"
  type: "ReLU"
  bottom: "inception1_dim_red"
  top: "inception1_dim_red_relu"
}
layer {
  name: "conv2_0"
  type: "Convolution"
  bottom: "inception1_dim_red_relu"
  top: "conv2_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv2_0_relu"
  type: "ReLU"
  bottom: "conv2_0"
  top: "conv2_0_relu"
}
layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "conv2_0_relu"
  top: "conv2_1"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv2_1_relu"
  type: "ReLU"
  bottom: "conv2_1"
  top: "conv2_1_relu"
}
layer {
  name: "conv2_3"
  type: "Convolution"
  bottom: "conv2_1_relu"
  top: "conv2_3"
  convolution_param {
    num_output: 96
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv2_3_relu"
  type: "ReLU"
  bottom: "conv2_3"
  top: "conv2_3_relu"
}
layer {
  name: "inception2_t0_0"
  type: "Convolution"
  bottom: "conv2_3_relu"
  top: "inception2_t0_0"
  convolution_param {
    num_output: 72
    bias_term: true
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception2_t1_0"
  type: "Convolution"
  bottom: "conv2_3_relu"
  top: "inception2_t1_0"
  convolution_param {
    num_output: 72
    bias_term: true
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception2_t0_0_relu"
  type: "ReLU"
  bottom: "inception2_t0_0"
  top: "inception2_t0_0_relu"
}
layer {
  name: "inception2_t1_0_relu"
  type: "ReLU"
  bottom: "inception2_t1_0"
  top: "inception2_t1_0_relu"
}
layer {
  name: "inception2_t3_0"
  type: "Pooling"
  bottom: "conv2_3_relu"
  top: "inception2_t3_0"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "inception2_t0_1"
  type: "Convolution"
  bottom: "inception2_t0_0_relu"
  top: "inception2_t0_1"
  convolution_param {
    num_output: 72
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception2_t1_1"
  type: "Convolution"
  bottom: "inception2_t1_0_relu"
  top: "inception2_t1_1"
  convolution_param {
    num_output: 72
    bias_term: true
    pad: 2
    kernel_size: 5
    stride: 2
  }
}
layer {
  name: "inception2_t3_1"
  type: "Convolution"
  bottom: "inception2_t3_0"
  top: "inception2_t3_1"
  convolution_param {
    num_output: 72
    bias_term: true
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception2_t0_1_relu"
  type: "ReLU"
  bottom: "inception2_t0_1"
  top: "inception2_t0_1_relu"
}
layer {
  name: "inception2_t1_1_relu"
  type: "ReLU"
  bottom: "inception2_t1_1"
  top: "inception2_t1_1_relu"
}
layer {
  name: "inception2_t3_1_relu"
  type: "ReLU"
  bottom: "inception2_t3_1"
  top: "inception2_t3_1_relu"
}
layer {
  name: "inception2concat"
  type: "Concat"
  bottom: "inception2_t0_1_relu"
  bottom: "inception2_t1_1_relu"
  bottom: "inception2_t3_1_relu"
  top: "inception2concat"
}