name: "deconvs_model"

layer {
    name: "input"
    type: "Input"
    top: "input"
    input_param {
        shape {
            dim: 1
            dim: 11
            dim: 16
            dim: 25
        }
    }
}

layer {
    name: "deconv1"
    type: "Deconvolution"
    bottom: "input"
    top: "deconv1"
    param {
        lr_mult: 1
    }
    param {
        lr_mult: 2
    }
    convolution_param {
        num_output: 3
        pad: 0
        kernel_size: 2
        stride: 2
        dilation: 1
        weight_filler { type: "msra" }
        bias_filler { type: "xavier"}
    }
}

layer {
    name: "deconv2"
    type: "Deconvolution"
    bottom: "deconv1"
    top: "deconv2"
    convolution_param {
        num_output: 6
        pad: 1
        kernel_size: 3
        stride: 3
        dilation: 1
        weight_filler { type: "msra" }
    }
}


layer {
    name: "deconv3"
    type: "Deconvolution"
    bottom: "deconv2"
    top: "deconv3"
    convolution_param {
        num_output: 9
        pad: 0
        kernel_size: 1
        stride: 2
        dilation: 1
        weight_filler { type: "msra" }
        bias_filler { type: "xavier"}
    }
}


layer {
    name: "deconv4"
    type: "Deconvolution"
    bottom: "deconv3"
    top: "deconv4"
    convolution_param {
        num_output: 8
        pad: 0
        kernel_size: 3
        stride: 1
        dilation: 1
        weight_filler { type: "msra" }
        bias_filler { type: "xavier"}
    }
}

layer {
    name: "deconv5"
    type: "Deconvolution"
    bottom: "deconv4"
    top: "deconv5"
    convolution_param {
        num_output: 4
        pad: 0
        kernel_size: 5
        stride: 2
        dilation: 1
        weight_filler { type: "msra" }
    }
}


layer {
    name: "deconv6"
    type: "Deconvolution"
    bottom: "deconv5"
    top: "deconv6"
    convolution_param {
        num_output: 9
        pad: 0
        kernel_size: 5
        stride: 1
        dilation: 1
        weight_filler { type: "msra" }
        bias_filler { type: "xavier"}
    }
}

layer {
    name: "conv1"
    type: "Convolution"
    bottom: "deconv6"
    top: "conv1"
    convolution_param {
        num_output: 2
        pad: 0
        kernel_size: 1
        stride: 3
        dilation: 4
        weight_filler { type: "msra" }
    }
}


layer {
    name: "deconv8"
    type: "Deconvolution"
    bottom: "conv1"
    top: "deconv8"
    convolution_param {
        num_output: 5
        pad: 1
        kernel_size: 2
        stride: 1
        dilation: 1
        weight_filler { type: "msra" }
    }
}


layer {
    name: "conv2"
    type: "Convolution"
    bottom: "deconv8"
    top: "conv2"
    convolution_param {
        num_output: 2
        pad: 1
        kernel_size: 1
        stride: 5
        dilation: 2
        weight_filler { type: "msra" }
    }
}