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February 16, 2017 03:30
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| name: "LNet" | |
| input: "data" | |
| input_dim: 1 | |
| input_dim: 15 | |
| input_dim: 24 | |
| input_dim: 24 | |
| layer { | |
| name: "slicer_data" | |
| type: "Slice" | |
| bottom: "data" | |
| top: "data241" | |
| top: "data242" | |
| top: "data243" | |
| top: "data244" | |
| top: "data245" | |
| slice_param { | |
| axis: 1 | |
| slice_point: 3 | |
| slice_point: 6 | |
| slice_point: 9 | |
| slice_point: 12 | |
| } | |
| } | |
| layer { | |
| name: "conv1_1" | |
| type: "Convolution" | |
| bottom: "data241" | |
| top: "conv1_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 28 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu1_1" | |
| type: "PReLU" | |
| bottom: "conv1_1" | |
| top: "conv1_1" | |
| } | |
| layer { | |
| name: "pool1_1" | |
| type: "Pooling" | |
| bottom: "conv1_1" | |
| top: "pool1_1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv2_1" | |
| type: "Convolution" | |
| bottom: "pool1_1" | |
| top: "conv2_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu2_1" | |
| type: "PReLU" | |
| bottom: "conv2_1" | |
| top: "conv2_1" | |
| } | |
| layer { | |
| name: "pool2_1" | |
| type: "Pooling" | |
| bottom: "conv2_1" | |
| top: "pool2_1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv3_1" | |
| type: "Convolution" | |
| bottom: "pool2_1" | |
| top: "conv3_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 2 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu3_1" | |
| type: "PReLU" | |
| bottom: "conv3_1" | |
| top: "conv3_1" | |
| } | |
| ########################## | |
| layer { | |
| name: "conv1_2" | |
| type: "Convolution" | |
| bottom: "data242" | |
| top: "conv1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 28 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu1_2" | |
| type: "PReLU" | |
| bottom: "conv1_2" | |
| top: "conv1_2" | |
| } | |
| layer { | |
| name: "pool1_2" | |
| type: "Pooling" | |
| bottom: "conv1_2" | |
| top: "pool1_2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv2_2" | |
| type: "Convolution" | |
| bottom: "pool1_2" | |
| top: "conv2_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu2_2" | |
| type: "PReLU" | |
| bottom: "conv2_2" | |
| top: "conv2_2" | |
| } | |
| layer { | |
| name: "pool2_2" | |
| type: "Pooling" | |
| bottom: "conv2_2" | |
| top: "pool2_2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv3_2" | |
| type: "Convolution" | |
| bottom: "pool2_2" | |
| top: "conv3_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 2 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu3_2" | |
| type: "PReLU" | |
| bottom: "conv3_2" | |
| top: "conv3_2" | |
| } | |
| ########################## | |
| ########################## | |
| layer { | |
| name: "conv1_3" | |
| type: "Convolution" | |
| bottom: "data243" | |
| top: "conv1_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 28 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu1_3" | |
| type: "PReLU" | |
| bottom: "conv1_3" | |
| top: "conv1_3" | |
| } | |
| layer { | |
| name: "pool1_3" | |
| type: "Pooling" | |
| bottom: "conv1_3" | |
| top: "pool1_3" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv2_3" | |
| type: "Convolution" | |
| bottom: "pool1_3" | |
| top: "conv2_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu2_3" | |
| type: "PReLU" | |
| bottom: "conv2_3" | |
| top: "conv2_3" | |
| } | |
| layer { | |
| name: "pool2_3" | |
| type: "Pooling" | |
| bottom: "conv2_3" | |
| top: "pool2_3" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv3_3" | |
| type: "Convolution" | |
| bottom: "pool2_3" | |
| top: "conv3_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 2 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu3_3" | |
| type: "PReLU" | |
| bottom: "conv3_3" | |
| top: "conv3_3" | |
| } | |
| ########################## | |
| ########################## | |
| layer { | |
| name: "conv1_4" | |
| type: "Convolution" | |
| bottom: "data244" | |
| top: "conv1_4" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 28 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu1_4" | |
| type: "PReLU" | |
| bottom: "conv1_4" | |
| top: "conv1_4" | |
| } | |
| layer { | |
| name: "pool1_4" | |
| type: "Pooling" | |
| bottom: "conv1_4" | |
| top: "pool1_4" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv2_4" | |
| type: "Convolution" | |
| bottom: "pool1_4" | |
| top: "conv2_4" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu2_4" | |
| type: "PReLU" | |
| bottom: "conv2_4" | |
| top: "conv2_4" | |
| } | |
| layer { | |
| name: "pool2_4" | |
| type: "Pooling" | |
| bottom: "conv2_4" | |
| top: "pool2_4" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv3_4" | |
| type: "Convolution" | |
| bottom: "pool2_4" | |
| top: "conv3_4" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 2 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu3_4" | |
| type: "PReLU" | |
| bottom: "conv3_4" | |
| top: "conv3_4" | |
| } | |
| ########################## | |
| ########################## | |
| layer { | |
| name: "conv1_5" | |
| type: "Convolution" | |
| bottom: "data245" | |
| top: "conv1_5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 28 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu1_5" | |
| type: "PReLU" | |
| bottom: "conv1_5" | |
| top: "conv1_5" | |
| } | |
| layer { | |
| name: "pool1_5" | |
| type: "Pooling" | |
| bottom: "conv1_5" | |
| top: "pool1_5" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv2_5" | |
| type: "Convolution" | |
| bottom: "pool1_5" | |
| top: "conv2_5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu2_5" | |
| type: "PReLU" | |
| bottom: "conv2_5" | |
| top: "conv2_5" | |
| } | |
| layer { | |
| name: "pool2_5" | |
| type: "Pooling" | |
| bottom: "conv2_5" | |
| top: "pool2_5" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv3_5" | |
| type: "Convolution" | |
| bottom: "pool2_5" | |
| top: "conv3_5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 2 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu3_5" | |
| type: "PReLU" | |
| bottom: "conv3_5" | |
| top: "conv3_5" | |
| } | |
| ########################## | |
| layer { | |
| name: "concat" | |
| bottom: "conv3_1" | |
| bottom: "conv3_2" | |
| bottom: "conv3_3" | |
| bottom: "conv3_4" | |
| bottom: "conv3_5" | |
| top: "conv3" | |
| type: "Concat" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| ########################## | |
| layer { | |
| name: "fc4" | |
| type: "InnerProduct" | |
| bottom: "conv3" | |
| top: "fc4" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 256 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu4" | |
| type: "PReLU" | |
| bottom: "fc4" | |
| top: "fc4" | |
| } | |
| ############################ | |
| layer { | |
| name: "fc4_1" | |
| type: "InnerProduct" | |
| bottom: "fc4" | |
| top: "fc4_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 64 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu4_1" | |
| type: "PReLU" | |
| bottom: "fc4_1" | |
| top: "fc4_1" | |
| } | |
| layer { | |
| name: "fc5_1" | |
| type: "InnerProduct" | |
| bottom: "fc4_1" | |
| top: "fc5_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 2 | |
| weight_filler { | |
| type: "xavier" | |
| #type: "constant" | |
| #value: 0 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| ######################### | |
| layer { | |
| name: "fc4_2" | |
| type: "InnerProduct" | |
| bottom: "fc4" | |
| top: "fc4_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 64 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu4_2" | |
| type: "PReLU" | |
| bottom: "fc4_2" | |
| top: "fc4_2" | |
| } | |
| layer { | |
| name: "fc5_2" | |
| type: "InnerProduct" | |
| bottom: "fc4_2" | |
| top: "fc5_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 2 | |
| weight_filler { | |
| type: "xavier" | |
| #type: "constant" | |
| #value: 0 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| ######################### | |
| layer { | |
| name: "fc4_3" | |
| type: "InnerProduct" | |
| bottom: "fc4" | |
| top: "fc4_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 64 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu4_3" | |
| type: "PReLU" | |
| bottom: "fc4_3" | |
| top: "fc4_3" | |
| } | |
| layer { | |
| name: "fc5_3" | |
| type: "InnerProduct" | |
| bottom: "fc4_3" | |
| top: "fc5_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 2 | |
| weight_filler { | |
| type: "xavier" | |
| #type: "constant" | |
| #value: 0 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| ######################### | |
| layer { | |
| name: "fc4_4" | |
| type: "InnerProduct" | |
| bottom: "fc4" | |
| top: "fc4_4" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 64 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu4_4" | |
| type: "PReLU" | |
| bottom: "fc4_4" | |
| top: "fc4_4" | |
| } | |
| layer { | |
| name: "fc5_4" | |
| type: "InnerProduct" | |
| bottom: "fc4_4" | |
| top: "fc5_4" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 2 | |
| weight_filler { | |
| type: "xavier" | |
| #type: "constant" | |
| #value: 0 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| ######################### | |
| layer { | |
| name: "fc4_5" | |
| type: "InnerProduct" | |
| bottom: "fc4" | |
| top: "fc4_5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 64 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prelu4_5" | |
| type: "PReLU" | |
| bottom: "fc4_5" | |
| top: "fc4_5" | |
| } | |
| layer { | |
| name: "fc5_5" | |
| type: "InnerProduct" | |
| bottom: "fc4_5" | |
| top: "fc5_5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 1 | |
| } | |
| inner_product_param { | |
| num_output: 2 | |
| weight_filler { | |
| type: "xavier" | |
| #type: "constant" | |
| #value: 0 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| ######################### | |
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