name: "CIFAR10_quick_test"
input: "data"
input_dim: 1
input_dim: 1
input_dim: 35
input_dim: 21
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 20
    pad: 2
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.0001
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "bn1"
  type: "BatchNorm"
  bottom: "conv1"
  top: "bn1"
  
  batch_norm_param {
	  use_global_stats: true
	}
}

layer {
  name: "conv1_scale"
  type: "Scale"
  bottom: "bn1"
  top: "bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "bn1"
  top: "bn1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "bn1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}

layer {
  name: "conv2"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 50
    pad: 2
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "bn2"
  type: "BatchNorm"
  bottom: "conv2"
  top: "bn2"
  batch_norm_param {
	  use_global_stats: true
	}
}

layer {
  name: "conv2_scale"
  type: "Scale"
  bottom: "bn2"
  top: "bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu2"
  type: "ReLU"
  bottom: "bn2"
  top: "bn2"
}

layer {
  name: "pool2"
  type: "Pooling"
  bottom: "bn2"
  top: "pool2"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "ip1"
  type: "InnerProduct"
  bottom: "pool2"
  top: "ip1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  inner_product_param {
    num_output: 500
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "bn3"
  type: "BatchNorm"
  bottom: "ip1"
  top: "bn3"

  batch_norm_param {
	  use_global_stats: true
	}
}
layer {
  name: "ip1_scale"
  type: "Scale"
  bottom: "bn3"
  top: "bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "bn3"
  top: "bn3"
}
layer {
  name: "ip2"
  type: "InnerProduct"
  bottom: "bn3"
  top: "ip2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  inner_product_param {
    num_output: 37
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "ip2"
  top: "prob"
}