Last active
October 28, 2016 08:46
-
-
Save northeastsquare/65b8f74513c1f71ca865c968655427c6 to your computer and use it in GitHub Desktop.
pre-res200.prototxt
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| input: "data" | |
| debug_info: true | |
| input_shape { | |
| dim: 1 | |
| dim: 3 | |
| dim: 224 | |
| dim: 224 | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_0" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "caffe.SpatialConvolution_0" | |
| convolution_param { | |
| num_output: 64 | |
| pad_h: 3 | |
| pad_w: 3 | |
| kernel_h: 7 | |
| kernel_w: 7 | |
| stride_h: 2 | |
| stride_w: 2 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_1bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_0" | |
| top: "caffe.SpatialConvolution_0bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_1" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_0bn" | |
| top: "caffe.BN_1" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_2" | |
| type: "ReLU" | |
| bottom: "caffe.BN_1" | |
| top: "caffe.BN_1" | |
| } | |
| layer { | |
| name: "caffe.Pooling_3" | |
| type: "Pooling" | |
| bottom: "caffe.BN_1" | |
| top: "caffe.Pooling_3" | |
| pooling_param { | |
| pool: MAX | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 2 | |
| stride_w: 2 | |
| pad_h: 0 | |
| pad_w: 0 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_4bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.Pooling_3" | |
| top: "caffe.Pooling_3bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_4" | |
| type: "Scale" | |
| bottom: "caffe.Pooling_3bn" | |
| top: "caffe.BN_4" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_5" | |
| type: "ReLU" | |
| bottom: "caffe.BN_4" | |
| top: "caffe.BN_4" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_6" | |
| type: "Convolution" | |
| bottom: "caffe.BN_4" | |
| top: "caffe.SpatialConvolution_6" | |
| convolution_param { | |
| num_output: 64 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_7bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_6" | |
| top: "caffe.SpatialConvolution_6bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_7" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_6bn" | |
| top: "caffe.BN_7" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_8" | |
| type: "ReLU" | |
| bottom: "caffe.BN_7" | |
| top: "caffe.BN_7" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_9" | |
| type: "Convolution" | |
| bottom: "caffe.BN_7" | |
| top: "caffe.SpatialConvolution_9" | |
| convolution_param { | |
| num_output: 64 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_10bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_9" | |
| top: "caffe.SpatialConvolution_9bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_10" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_9bn" | |
| top: "caffe.BN_10" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_11" | |
| type: "ReLU" | |
| bottom: "caffe.BN_10" | |
| top: "caffe.BN_10" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_12" | |
| type: "Convolution" | |
| bottom: "caffe.BN_10" | |
| top: "caffe.SpatialConvolution_12" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_13" | |
| type: "Convolution" | |
| bottom: "caffe.Pooling_3" | |
| top: "caffe.SpatialConvolution_13" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_14bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_13" | |
| top: "caffe.SpatialConvolution_13bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_14" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_13bn" | |
| top: "caffe.BN_14" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_15" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_12" | |
| bottom: "caffe.BN_14" | |
| top: "caffe.Eltwise_15" | |
| } | |
| layer { | |
| name: "caffe.BN_16pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_15" | |
| top: "caffe.Eltwise_15pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_16" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_15pre" | |
| top: "caffe.BN_16" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_17" | |
| type: "ReLU" | |
| bottom: "caffe.BN_16" | |
| top: "caffe.BN_16" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_18" | |
| type: "Convolution" | |
| bottom: "caffe.BN_16" | |
| top: "caffe.SpatialConvolution_18" | |
| convolution_param { | |
| num_output: 64 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_19bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_18" | |
| top: "caffe.SpatialConvolution_18bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_19" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_18bn" | |
| top: "caffe.BN_19" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_20" | |
| type: "ReLU" | |
| bottom: "caffe.BN_19" | |
| top: "caffe.BN_19" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_21" | |
| type: "Convolution" | |
| bottom: "caffe.BN_19" | |
| top: "caffe.SpatialConvolution_21" | |
| convolution_param { | |
| num_output: 64 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_22bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_21" | |
| top: "caffe.SpatialConvolution_21bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_22" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_21bn" | |
| top: "caffe.BN_22" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_23" | |
| type: "ReLU" | |
| bottom: "caffe.BN_22" | |
| top: "caffe.BN_22" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_24" | |
| type: "Convolution" | |
| bottom: "caffe.BN_22" | |
| top: "caffe.SpatialConvolution_24" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_25" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_24" | |
| bottom: "caffe.Eltwise_15" | |
| top: "caffe.Eltwise_25" | |
| } | |
| layer { | |
| name: "caffe.BN_26pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_25" | |
| top: "caffe.Eltwise_25pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_26" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_25pre" | |
| top: "caffe.BN_26" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_27" | |
| type: "ReLU" | |
| bottom: "caffe.BN_26" | |
| top: "caffe.BN_26" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_28" | |
| type: "Convolution" | |
| bottom: "caffe.BN_26" | |
| top: "caffe.SpatialConvolution_28" | |
| convolution_param { | |
| num_output: 64 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_29bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_28" | |
| top: "caffe.SpatialConvolution_28bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_29" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_28bn" | |
| top: "caffe.BN_29" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_30" | |
| type: "ReLU" | |
| bottom: "caffe.BN_29" | |
| top: "caffe.BN_29" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_31" | |
| type: "Convolution" | |
| bottom: "caffe.BN_29" | |
| top: "caffe.SpatialConvolution_31" | |
| convolution_param { | |
| num_output: 64 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_32bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_31" | |
| top: "caffe.SpatialConvolution_31bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_32" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_31bn" | |
| top: "caffe.BN_32" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_33" | |
| type: "ReLU" | |
| bottom: "caffe.BN_32" | |
| top: "caffe.BN_32" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_34" | |
| type: "Convolution" | |
| bottom: "caffe.BN_32" | |
| top: "caffe.SpatialConvolution_34" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_35" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_34" | |
| bottom: "caffe.Eltwise_25" | |
| top: "caffe.Eltwise_35" | |
| } | |
| layer { | |
| name: "caffe.BN_36eltpre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_35" | |
| top: "caffe.Eltwise_35" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_36" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_35" | |
| top: "caffe.Eltwise_35" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_37" | |
| type: "ReLU" | |
| bottom: "caffe.BN_36" | |
| top: "caffe.BN_36" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_38" | |
| type: "Convolution" | |
| bottom: "caffe.BN_36" | |
| top: "caffe.SpatialConvolution_38" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_39bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_38" | |
| top: "caffe.SpatialConvolution_38bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_39" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_38bn" | |
| top: "caffe.BN_39" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_40" | |
| type: "ReLU" | |
| bottom: "caffe.BN_39" | |
| top: "caffe.BN_39" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_41" | |
| type: "Convolution" | |
| bottom: "caffe.BN_39" | |
| top: "caffe.SpatialConvolution_41" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 2 | |
| stride_w: 2 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_42bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_41" | |
| top: "caffe.SpatialConvolution_41bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_42" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_41bn" | |
| top: "caffe.BN_42" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_43" | |
| type: "ReLU" | |
| bottom: "caffe.BN_42" | |
| top: "caffe.BN_42" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_44" | |
| type: "Convolution" | |
| bottom: "caffe.BN_42" | |
| top: "caffe.SpatialConvolution_44" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_45" | |
| type: "Convolution" | |
| bottom: "caffe.Eltwise_35" | |
| top: "caffe.SpatialConvolution_45" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 2 | |
| stride_w: 2 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_46bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_45" | |
| top: "caffe.SpatialConvolution_45bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_46" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_45bn" | |
| top: "caffe.BN_46" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_47" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_44" | |
| bottom: "caffe.BN_46" | |
| top: "caffe.Eltwise_47" | |
| } | |
| layer { | |
| name: "caffe.BN_48pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_47" | |
| top: "caffe.Eltwise_47pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_48" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_47pre" | |
| top: "caffe.BN_48" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_49" | |
| type: "ReLU" | |
| bottom: "caffe.BN_48" | |
| top: "caffe.BN_48" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_50" | |
| type: "Convolution" | |
| bottom: "caffe.BN_48" | |
| top: "caffe.SpatialConvolution_50" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_51bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_50" | |
| top: "caffe.SpatialConvolution_50bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_51" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_50bn" | |
| top: "caffe.BN_51" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_52" | |
| type: "ReLU" | |
| bottom: "caffe.BN_51" | |
| top: "caffe.BN_51" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_53" | |
| type: "Convolution" | |
| bottom: "caffe.BN_51" | |
| top: "caffe.SpatialConvolution_53" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_54bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_53" | |
| top: "caffe.SpatialConvolution_53bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_54" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_53bn" | |
| top: "caffe.BN_54" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_55" | |
| type: "ReLU" | |
| bottom: "caffe.BN_54" | |
| top: "caffe.BN_54" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_56" | |
| type: "Convolution" | |
| bottom: "caffe.BN_54" | |
| top: "caffe.SpatialConvolution_56" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_57" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_56" | |
| bottom: "caffe.Eltwise_47" | |
| top: "caffe.Eltwise_57" | |
| } | |
| layer { | |
| name: "caffe.BN_58pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_57" | |
| top: "caffe.Eltwise_57pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_58" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_57pre" | |
| top: "caffe.BN_58" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_59" | |
| type: "ReLU" | |
| bottom: "caffe.BN_58" | |
| top: "caffe.BN_58" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_60" | |
| type: "Convolution" | |
| bottom: "caffe.BN_58" | |
| top: "caffe.SpatialConvolution_60" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_61bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_60" | |
| top: "caffe.SpatialConvolution_60bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_61" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_60bn" | |
| top: "caffe.BN_61" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_62" | |
| type: "ReLU" | |
| bottom: "caffe.BN_61" | |
| top: "caffe.BN_61" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_63" | |
| type: "Convolution" | |
| bottom: "caffe.BN_61" | |
| top: "caffe.SpatialConvolution_63" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_64bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_63" | |
| top: "caffe.SpatialConvolution_63bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_64" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_63bn" | |
| top: "caffe.BN_64" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_65" | |
| type: "ReLU" | |
| bottom: "caffe.BN_64" | |
| top: "caffe.BN_64" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_66" | |
| type: "Convolution" | |
| bottom: "caffe.BN_64" | |
| top: "caffe.SpatialConvolution_66" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_67" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_66" | |
| bottom: "caffe.Eltwise_57" | |
| top: "caffe.Eltwise_67" | |
| } | |
| layer { | |
| name: "caffe.BN_68pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_67" | |
| top: "caffe.Eltwise_67pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_68" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_67pre" | |
| top: "caffe.BN_68" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_69" | |
| type: "ReLU" | |
| bottom: "caffe.BN_68" | |
| top: "caffe.BN_68" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_70" | |
| type: "Convolution" | |
| bottom: "caffe.BN_68" | |
| top: "caffe.SpatialConvolution_70" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_71bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_70" | |
| top: "caffe.SpatialConvolution_70bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_71" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_70bn" | |
| top: "caffe.BN_71" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_72" | |
| type: "ReLU" | |
| bottom: "caffe.BN_71" | |
| top: "caffe.BN_71" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_73" | |
| type: "Convolution" | |
| bottom: "caffe.BN_71" | |
| top: "caffe.SpatialConvolution_73" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_74bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_73" | |
| top: "caffe.SpatialConvolution_73bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_74" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_73bn" | |
| top: "caffe.BN_74" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_75" | |
| type: "ReLU" | |
| bottom: "caffe.BN_74" | |
| top: "caffe.BN_74" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_76" | |
| type: "Convolution" | |
| bottom: "caffe.BN_74" | |
| top: "caffe.SpatialConvolution_76" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_77" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_76" | |
| bottom: "caffe.Eltwise_67" | |
| top: "caffe.Eltwise_77" | |
| } | |
| layer { | |
| name: "caffe.BN_78pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_77" | |
| top: "caffe.Eltwise_77pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_78" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_77pre" | |
| top: "caffe.BN_78" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_79" | |
| type: "ReLU" | |
| bottom: "caffe.BN_78" | |
| top: "caffe.BN_78" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_80" | |
| type: "Convolution" | |
| bottom: "caffe.BN_78" | |
| top: "caffe.SpatialConvolution_80" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_81bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_80" | |
| top: "caffe.SpatialConvolution_80bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_81" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_80bn" | |
| top: "caffe.BN_81" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_82" | |
| type: "ReLU" | |
| bottom: "caffe.BN_81" | |
| top: "caffe.BN_81" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_83" | |
| type: "Convolution" | |
| bottom: "caffe.BN_81" | |
| top: "caffe.SpatialConvolution_83" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_84bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_83" | |
| top: "caffe.SpatialConvolution_83bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_84" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_83bn" | |
| top: "caffe.BN_84" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_85" | |
| type: "ReLU" | |
| bottom: "caffe.BN_84" | |
| top: "caffe.BN_84" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_86" | |
| type: "Convolution" | |
| bottom: "caffe.BN_84" | |
| top: "caffe.SpatialConvolution_86" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_87" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_86" | |
| bottom: "caffe.Eltwise_77" | |
| top: "caffe.Eltwise_87" | |
| } | |
| layer { | |
| name: "caffe.BN_88pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_87" | |
| top: "caffe.Eltwise_87pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_88" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_87pre" | |
| top: "caffe.BN_88" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_89" | |
| type: "ReLU" | |
| bottom: "caffe.BN_88" | |
| top: "caffe.BN_88" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_90" | |
| type: "Convolution" | |
| bottom: "caffe.BN_88" | |
| top: "caffe.SpatialConvolution_90" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_91bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_90" | |
| top: "caffe.SpatialConvolution_90bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_91" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_90bn" | |
| top: "caffe.BN_91" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_92" | |
| type: "ReLU" | |
| bottom: "caffe.BN_91" | |
| top: "caffe.BN_91" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_93" | |
| type: "Convolution" | |
| bottom: "caffe.BN_91" | |
| top: "caffe.SpatialConvolution_93" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_94bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_93" | |
| top: "caffe.SpatialConvolution_93bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_94" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_93bn" | |
| top: "caffe.BN_94" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_95" | |
| type: "ReLU" | |
| bottom: "caffe.BN_94" | |
| top: "caffe.BN_94" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_96" | |
| type: "Convolution" | |
| bottom: "caffe.BN_94" | |
| top: "caffe.SpatialConvolution_96" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_97" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_96" | |
| bottom: "caffe.Eltwise_87" | |
| top: "caffe.Eltwise_97" | |
| } | |
| layer { | |
| name: "caffe.BN_98pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_97" | |
| top: "caffe.Eltwise_97pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_98" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_97pre" | |
| top: "caffe.BN_98" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_99" | |
| type: "ReLU" | |
| bottom: "caffe.BN_98" | |
| top: "caffe.BN_98" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_100" | |
| type: "Convolution" | |
| bottom: "caffe.BN_98" | |
| top: "caffe.SpatialConvolution_100" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_101bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_100" | |
| top: "caffe.SpatialConvolution_100bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_101" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_100bn" | |
| top: "caffe.BN_101" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_102" | |
| type: "ReLU" | |
| bottom: "caffe.BN_101" | |
| top: "caffe.BN_101" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_103" | |
| type: "Convolution" | |
| bottom: "caffe.BN_101" | |
| top: "caffe.SpatialConvolution_103" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_104bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_103" | |
| top: "caffe.SpatialConvolution_103bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_104" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_103bn" | |
| top: "caffe.BN_104" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_105" | |
| type: "ReLU" | |
| bottom: "caffe.BN_104" | |
| top: "caffe.BN_104" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_106" | |
| type: "Convolution" | |
| bottom: "caffe.BN_104" | |
| top: "caffe.SpatialConvolution_106" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_107" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_106" | |
| bottom: "caffe.Eltwise_97" | |
| top: "caffe.Eltwise_107" | |
| } | |
| layer { | |
| name: "caffe.BN_108pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_107" | |
| top: "caffe.Eltwise_107pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_108" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_107pre" | |
| top: "caffe.BN_108" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_109" | |
| type: "ReLU" | |
| bottom: "caffe.BN_108" | |
| top: "caffe.BN_108" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_110" | |
| type: "Convolution" | |
| bottom: "caffe.BN_108" | |
| top: "caffe.SpatialConvolution_110" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_111bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_110" | |
| top: "caffe.SpatialConvolution_110bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_111" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_110bn" | |
| top: "caffe.BN_111" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_112" | |
| type: "ReLU" | |
| bottom: "caffe.BN_111" | |
| top: "caffe.BN_111" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_113" | |
| type: "Convolution" | |
| bottom: "caffe.BN_111" | |
| top: "caffe.SpatialConvolution_113" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_114bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_113" | |
| top: "caffe.SpatialConvolution_113bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_114" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_113bn" | |
| top: "caffe.BN_114" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_115" | |
| type: "ReLU" | |
| bottom: "caffe.BN_114" | |
| top: "caffe.BN_114" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_116" | |
| type: "Convolution" | |
| bottom: "caffe.BN_114" | |
| top: "caffe.SpatialConvolution_116" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_117" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_116" | |
| bottom: "caffe.Eltwise_107" | |
| top: "caffe.Eltwise_117" | |
| } | |
| layer { | |
| name: "caffe.BN_118pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_117" | |
| top: "caffe.Eltwise_117pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_118" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_117pre" | |
| top: "caffe.BN_118" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_119" | |
| type: "ReLU" | |
| bottom: "caffe.BN_118" | |
| top: "caffe.BN_118" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_120" | |
| type: "Convolution" | |
| bottom: "caffe.BN_118" | |
| top: "caffe.SpatialConvolution_120" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_121bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_120" | |
| top: "caffe.SpatialConvolution_120bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_121" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_120bn" | |
| top: "caffe.BN_121" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_122" | |
| type: "ReLU" | |
| bottom: "caffe.BN_121" | |
| top: "caffe.BN_121" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_123" | |
| type: "Convolution" | |
| bottom: "caffe.BN_121" | |
| top: "caffe.SpatialConvolution_123" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_124bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_123" | |
| top: "caffe.SpatialConvolution_123bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_124" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_123bn" | |
| top: "caffe.BN_124" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_125" | |
| type: "ReLU" | |
| bottom: "caffe.BN_124" | |
| top: "caffe.BN_124" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_126" | |
| type: "Convolution" | |
| bottom: "caffe.BN_124" | |
| top: "caffe.SpatialConvolution_126" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_127" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_126" | |
| bottom: "caffe.Eltwise_117" | |
| top: "caffe.Eltwise_127" | |
| } | |
| layer { | |
| name: "caffe.BN_128pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_127" | |
| top: "caffe.Eltwise_127pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_128" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_127pre" | |
| top: "caffe.BN_128" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_129" | |
| type: "ReLU" | |
| bottom: "caffe.BN_128" | |
| top: "caffe.BN_128" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_130" | |
| type: "Convolution" | |
| bottom: "caffe.BN_128" | |
| top: "caffe.SpatialConvolution_130" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_131bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_130" | |
| top: "caffe.SpatialConvolution_130bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_131" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_130bn" | |
| top: "caffe.BN_131" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_132" | |
| type: "ReLU" | |
| bottom: "caffe.BN_131" | |
| top: "caffe.BN_131" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_133" | |
| type: "Convolution" | |
| bottom: "caffe.BN_131" | |
| top: "caffe.SpatialConvolution_133" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_134bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_133" | |
| top: "caffe.SpatialConvolution_133bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_134" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_133bn" | |
| top: "caffe.BN_134" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_135" | |
| type: "ReLU" | |
| bottom: "caffe.BN_134" | |
| top: "caffe.BN_134" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_136" | |
| type: "Convolution" | |
| bottom: "caffe.BN_134" | |
| top: "caffe.SpatialConvolution_136" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_137" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_136" | |
| bottom: "caffe.Eltwise_127" | |
| top: "caffe.Eltwise_137" | |
| } | |
| layer { | |
| name: "caffe.BN_138pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_137" | |
| top: "caffe.Eltwise_137pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_138" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_137pre" | |
| top: "caffe.BN_138" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_139" | |
| type: "ReLU" | |
| bottom: "caffe.BN_138" | |
| top: "caffe.BN_138" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_140" | |
| type: "Convolution" | |
| bottom: "caffe.BN_138" | |
| top: "caffe.SpatialConvolution_140" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_141bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_140" | |
| top: "caffe.SpatialConvolution_140bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_141" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_140bn" | |
| top: "caffe.BN_141" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_142" | |
| type: "ReLU" | |
| bottom: "caffe.BN_141" | |
| top: "caffe.BN_141" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_143" | |
| type: "Convolution" | |
| bottom: "caffe.BN_141" | |
| top: "caffe.SpatialConvolution_143" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_144bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_143" | |
| top: "caffe.SpatialConvolution_143bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_144" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_143bn" | |
| top: "caffe.BN_144" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_145" | |
| type: "ReLU" | |
| bottom: "caffe.BN_144" | |
| top: "caffe.BN_144" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_146" | |
| type: "Convolution" | |
| bottom: "caffe.BN_144" | |
| top: "caffe.SpatialConvolution_146" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_147" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_146" | |
| bottom: "caffe.Eltwise_137" | |
| top: "caffe.Eltwise_147" | |
| } | |
| layer { | |
| name: "caffe.BN_148pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_147" | |
| top: "caffe.Eltwise_147pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_148" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_147pre" | |
| top: "caffe.BN_148" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_149" | |
| type: "ReLU" | |
| bottom: "caffe.BN_148" | |
| top: "caffe.BN_148" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_150" | |
| type: "Convolution" | |
| bottom: "caffe.BN_148" | |
| top: "caffe.SpatialConvolution_150" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_151bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_150" | |
| top: "caffe.SpatialConvolution_150bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_151" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_150bn" | |
| top: "caffe.BN_151" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_152" | |
| type: "ReLU" | |
| bottom: "caffe.BN_151" | |
| top: "caffe.BN_151" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_153" | |
| type: "Convolution" | |
| bottom: "caffe.BN_151" | |
| top: "caffe.SpatialConvolution_153" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_154bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_153" | |
| top: "caffe.SpatialConvolution_153bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_154" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_153bn" | |
| top: "caffe.BN_154" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_155" | |
| type: "ReLU" | |
| bottom: "caffe.BN_154" | |
| top: "caffe.BN_154" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_156" | |
| type: "Convolution" | |
| bottom: "caffe.BN_154" | |
| top: "caffe.SpatialConvolution_156" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_157" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_156" | |
| bottom: "caffe.Eltwise_147" | |
| top: "caffe.Eltwise_157" | |
| } | |
| layer { | |
| name: "caffe.BN_158pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_157" | |
| top: "caffe.Eltwise_157pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_158" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_157pre" | |
| top: "caffe.BN_158" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_159" | |
| type: "ReLU" | |
| bottom: "caffe.BN_158" | |
| top: "caffe.BN_158" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_160" | |
| type: "Convolution" | |
| bottom: "caffe.BN_158" | |
| top: "caffe.SpatialConvolution_160" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_161bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_160" | |
| top: "caffe.SpatialConvolution_160bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_161" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_160bn" | |
| top: "caffe.BN_161" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_162" | |
| type: "ReLU" | |
| bottom: "caffe.BN_161" | |
| top: "caffe.BN_161" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_163" | |
| type: "Convolution" | |
| bottom: "caffe.BN_161" | |
| top: "caffe.SpatialConvolution_163" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_164bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_163" | |
| top: "caffe.SpatialConvolution_163bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_164" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_163bn" | |
| top: "caffe.BN_164" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_165" | |
| type: "ReLU" | |
| bottom: "caffe.BN_164" | |
| top: "caffe.BN_164" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_166" | |
| type: "Convolution" | |
| bottom: "caffe.BN_164" | |
| top: "caffe.SpatialConvolution_166" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_167" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_166" | |
| bottom: "caffe.Eltwise_157" | |
| top: "caffe.Eltwise_167" | |
| } | |
| layer { | |
| name: "caffe.BN_168pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_167" | |
| top: "caffe.Eltwise_167pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_168" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_167pre" | |
| top: "caffe.BN_168" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_169" | |
| type: "ReLU" | |
| bottom: "caffe.BN_168" | |
| top: "caffe.BN_168" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_170" | |
| type: "Convolution" | |
| bottom: "caffe.BN_168" | |
| top: "caffe.SpatialConvolution_170" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_171bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_170" | |
| top: "caffe.SpatialConvolution_170bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_171" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_170bn" | |
| top: "caffe.BN_171" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_172" | |
| type: "ReLU" | |
| bottom: "caffe.BN_171" | |
| top: "caffe.BN_171" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_173" | |
| type: "Convolution" | |
| bottom: "caffe.BN_171" | |
| top: "caffe.SpatialConvolution_173" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_174bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_173" | |
| top: "caffe.SpatialConvolution_173bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_174" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_173bn" | |
| top: "caffe.BN_174" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_175" | |
| type: "ReLU" | |
| bottom: "caffe.BN_174" | |
| top: "caffe.BN_174" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_176" | |
| type: "Convolution" | |
| bottom: "caffe.BN_174" | |
| top: "caffe.SpatialConvolution_176" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_177" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_176" | |
| bottom: "caffe.Eltwise_167" | |
| top: "caffe.Eltwise_177" | |
| } | |
| layer { | |
| name: "caffe.BN_178pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_177" | |
| top: "caffe.Eltwise_177pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_178" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_177pre" | |
| top: "caffe.BN_178" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_179" | |
| type: "ReLU" | |
| bottom: "caffe.BN_178" | |
| top: "caffe.BN_178" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_180" | |
| type: "Convolution" | |
| bottom: "caffe.BN_178" | |
| top: "caffe.SpatialConvolution_180" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_181bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_180" | |
| top: "caffe.SpatialConvolution_180bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_181" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_180bn" | |
| top: "caffe.BN_181" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_182" | |
| type: "ReLU" | |
| bottom: "caffe.BN_181" | |
| top: "caffe.BN_181" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_183" | |
| type: "Convolution" | |
| bottom: "caffe.BN_181" | |
| top: "caffe.SpatialConvolution_183" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_184bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_183" | |
| top: "caffe.SpatialConvolution_183bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_184" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_183bn" | |
| top: "caffe.BN_184" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_185" | |
| type: "ReLU" | |
| bottom: "caffe.BN_184" | |
| top: "caffe.BN_184" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_186" | |
| type: "Convolution" | |
| bottom: "caffe.BN_184" | |
| top: "caffe.SpatialConvolution_186" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_187" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_186" | |
| bottom: "caffe.Eltwise_177" | |
| top: "caffe.Eltwise_187" | |
| } | |
| layer { | |
| name: "caffe.BN_188pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_187" | |
| top: "caffe.Eltwise_187pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_188" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_187pre" | |
| top: "caffe.BN_188" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_189" | |
| type: "ReLU" | |
| bottom: "caffe.BN_188" | |
| top: "caffe.BN_188" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_190" | |
| type: "Convolution" | |
| bottom: "caffe.BN_188" | |
| top: "caffe.SpatialConvolution_190" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_191bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_190" | |
| top: "caffe.SpatialConvolution_190bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_191" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_190bn" | |
| top: "caffe.BN_191" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_192" | |
| type: "ReLU" | |
| bottom: "caffe.BN_191" | |
| top: "caffe.BN_191" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_193" | |
| type: "Convolution" | |
| bottom: "caffe.BN_191" | |
| top: "caffe.SpatialConvolution_193" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_194bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_193" | |
| top: "caffe.SpatialConvolution_193bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_194" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_193bn" | |
| top: "caffe.BN_194" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_195" | |
| type: "ReLU" | |
| bottom: "caffe.BN_194" | |
| top: "caffe.BN_194" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_196" | |
| type: "Convolution" | |
| bottom: "caffe.BN_194" | |
| top: "caffe.SpatialConvolution_196" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_197" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_196" | |
| bottom: "caffe.Eltwise_187" | |
| top: "caffe.Eltwise_197" | |
| } | |
| layer { | |
| name: "caffe.BN_198pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_197" | |
| top: "caffe.Eltwise_197pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_198" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_197pre" | |
| top: "caffe.BN_198" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_199" | |
| type: "ReLU" | |
| bottom: "caffe.BN_198" | |
| top: "caffe.BN_198" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_200" | |
| type: "Convolution" | |
| bottom: "caffe.BN_198" | |
| top: "caffe.SpatialConvolution_200" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_201bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_200" | |
| top: "caffe.SpatialConvolution_200bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_201" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_200bn" | |
| top: "caffe.BN_201" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_202" | |
| type: "ReLU" | |
| bottom: "caffe.BN_201" | |
| top: "caffe.BN_201" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_203" | |
| type: "Convolution" | |
| bottom: "caffe.BN_201" | |
| top: "caffe.SpatialConvolution_203" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_204bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_203" | |
| top: "caffe.SpatialConvolution_203bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_204" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_203bn" | |
| top: "caffe.BN_204" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_205" | |
| type: "ReLU" | |
| bottom: "caffe.BN_204" | |
| top: "caffe.BN_204" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_206" | |
| type: "Convolution" | |
| bottom: "caffe.BN_204" | |
| top: "caffe.SpatialConvolution_206" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_207" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_206" | |
| bottom: "caffe.Eltwise_197" | |
| top: "caffe.Eltwise_207" | |
| } | |
| layer { | |
| name: "caffe.BN_208pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_207" | |
| top: "caffe.Eltwise_207pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_208" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_207pre" | |
| top: "caffe.BN_208" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_209" | |
| type: "ReLU" | |
| bottom: "caffe.BN_208" | |
| top: "caffe.BN_208" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_210" | |
| type: "Convolution" | |
| bottom: "caffe.BN_208" | |
| top: "caffe.SpatialConvolution_210" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_211bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_210" | |
| top: "caffe.SpatialConvolution_210bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_211" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_210bn" | |
| top: "caffe.BN_211" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_212" | |
| type: "ReLU" | |
| bottom: "caffe.BN_211" | |
| top: "caffe.BN_211" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_213" | |
| type: "Convolution" | |
| bottom: "caffe.BN_211" | |
| top: "caffe.SpatialConvolution_213" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_214bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_213" | |
| top: "caffe.SpatialConvolution_213bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_214" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_213bn" | |
| top: "caffe.BN_214" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_215" | |
| type: "ReLU" | |
| bottom: "caffe.BN_214" | |
| top: "caffe.BN_214" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_216" | |
| type: "Convolution" | |
| bottom: "caffe.BN_214" | |
| top: "caffe.SpatialConvolution_216" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_217" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_216" | |
| bottom: "caffe.Eltwise_207" | |
| top: "caffe.Eltwise_217" | |
| } | |
| layer { | |
| name: "caffe.BN_218pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_217" | |
| top: "caffe.Eltwise_217pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_218" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_217pre" | |
| top: "caffe.BN_218" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_219" | |
| type: "ReLU" | |
| bottom: "caffe.BN_218" | |
| top: "caffe.BN_218" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_220" | |
| type: "Convolution" | |
| bottom: "caffe.BN_218" | |
| top: "caffe.SpatialConvolution_220" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_221bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_220" | |
| top: "caffe.SpatialConvolution_220bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_221" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_220bn" | |
| top: "caffe.BN_221" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_222" | |
| type: "ReLU" | |
| bottom: "caffe.BN_221" | |
| top: "caffe.BN_221" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_223" | |
| type: "Convolution" | |
| bottom: "caffe.BN_221" | |
| top: "caffe.SpatialConvolution_223" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_224bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_223" | |
| top: "caffe.SpatialConvolution_223bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_224" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_223bn" | |
| top: "caffe.BN_224" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_225" | |
| type: "ReLU" | |
| bottom: "caffe.BN_224" | |
| top: "caffe.BN_224" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_226" | |
| type: "Convolution" | |
| bottom: "caffe.BN_224" | |
| top: "caffe.SpatialConvolution_226" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_227" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_226" | |
| bottom: "caffe.Eltwise_217" | |
| top: "caffe.Eltwise_227" | |
| } | |
| layer { | |
| name: "caffe.BN_228pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_227" | |
| top: "caffe.Eltwise_227pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_228" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_227pre" | |
| top: "caffe.BN_228" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_229" | |
| type: "ReLU" | |
| bottom: "caffe.BN_228" | |
| top: "caffe.BN_228" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_230" | |
| type: "Convolution" | |
| bottom: "caffe.BN_228" | |
| top: "caffe.SpatialConvolution_230" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_231bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_230" | |
| top: "caffe.SpatialConvolution_230bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_231" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_230bn" | |
| top: "caffe.BN_231" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_232" | |
| type: "ReLU" | |
| bottom: "caffe.BN_231" | |
| top: "caffe.BN_231" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_233" | |
| type: "Convolution" | |
| bottom: "caffe.BN_231" | |
| top: "caffe.SpatialConvolution_233" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_234bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_233" | |
| top: "caffe.SpatialConvolution_233bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_234" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_233bn" | |
| top: "caffe.BN_234" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_235" | |
| type: "ReLU" | |
| bottom: "caffe.BN_234" | |
| top: "caffe.BN_234" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_236" | |
| type: "Convolution" | |
| bottom: "caffe.BN_234" | |
| top: "caffe.SpatialConvolution_236" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_237" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_236" | |
| bottom: "caffe.Eltwise_227" | |
| top: "caffe.Eltwise_237" | |
| } | |
| layer { | |
| name: "caffe.BN_238pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_237" | |
| top: "caffe.Eltwise_237pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_238" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_237pre" | |
| top: "caffe.BN_238" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_239" | |
| type: "ReLU" | |
| bottom: "caffe.BN_238" | |
| top: "caffe.BN_238" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_240" | |
| type: "Convolution" | |
| bottom: "caffe.BN_238" | |
| top: "caffe.SpatialConvolution_240" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_241bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_240" | |
| top: "caffe.SpatialConvolution_240bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_241" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_240bn" | |
| top: "caffe.BN_241" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_242" | |
| type: "ReLU" | |
| bottom: "caffe.BN_241" | |
| top: "caffe.BN_241" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_243" | |
| type: "Convolution" | |
| bottom: "caffe.BN_241" | |
| top: "caffe.SpatialConvolution_243" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_244bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_243" | |
| top: "caffe.SpatialConvolution_243bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_244" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_243bn" | |
| top: "caffe.BN_244" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_245" | |
| type: "ReLU" | |
| bottom: "caffe.BN_244" | |
| top: "caffe.BN_244" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_246" | |
| type: "Convolution" | |
| bottom: "caffe.BN_244" | |
| top: "caffe.SpatialConvolution_246" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_247" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_246" | |
| bottom: "caffe.Eltwise_237" | |
| top: "caffe.Eltwise_247" | |
| } | |
| layer { | |
| name: "caffe.BN_248pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_247" | |
| top: "caffe.Eltwise_247pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_248" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_247pre" | |
| top: "caffe.BN_248" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_249" | |
| type: "ReLU" | |
| bottom: "caffe.BN_248" | |
| top: "caffe.BN_248" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_250" | |
| type: "Convolution" | |
| bottom: "caffe.BN_248" | |
| top: "caffe.SpatialConvolution_250" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_251bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_250" | |
| top: "caffe.SpatialConvolution_250bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_251" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_250bn" | |
| top: "caffe.BN_251" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_252" | |
| type: "ReLU" | |
| bottom: "caffe.BN_251" | |
| top: "caffe.BN_251" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_253" | |
| type: "Convolution" | |
| bottom: "caffe.BN_251" | |
| top: "caffe.SpatialConvolution_253" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_254bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_253" | |
| top: "caffe.SpatialConvolution_253bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_254" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_253bn" | |
| top: "caffe.BN_254" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_255" | |
| type: "ReLU" | |
| bottom: "caffe.BN_254" | |
| top: "caffe.BN_254" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_256" | |
| type: "Convolution" | |
| bottom: "caffe.BN_254" | |
| top: "caffe.SpatialConvolution_256" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_257" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_256" | |
| bottom: "caffe.Eltwise_247" | |
| top: "caffe.Eltwise_257" | |
| } | |
| layer { | |
| name: "caffe.BN_258pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_257" | |
| top: "caffe.Eltwise_257pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_258" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_257pre" | |
| top: "caffe.BN_258" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_259" | |
| type: "ReLU" | |
| bottom: "caffe.BN_258" | |
| top: "caffe.BN_258" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_260" | |
| type: "Convolution" | |
| bottom: "caffe.BN_258" | |
| top: "caffe.SpatialConvolution_260" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_261bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_260" | |
| top: "caffe.SpatialConvolution_260bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_261" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_260bn" | |
| top: "caffe.BN_261" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_262" | |
| type: "ReLU" | |
| bottom: "caffe.BN_261" | |
| top: "caffe.BN_261" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_263" | |
| type: "Convolution" | |
| bottom: "caffe.BN_261" | |
| top: "caffe.SpatialConvolution_263" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_264bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_263" | |
| top: "caffe.SpatialConvolution_263bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_264" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_263bn" | |
| top: "caffe.BN_264" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_265" | |
| type: "ReLU" | |
| bottom: "caffe.BN_264" | |
| top: "caffe.BN_264" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_266" | |
| type: "Convolution" | |
| bottom: "caffe.BN_264" | |
| top: "caffe.SpatialConvolution_266" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_267" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_266" | |
| bottom: "caffe.Eltwise_257" | |
| top: "caffe.Eltwise_267" | |
| } | |
| layer { | |
| name: "caffe.BN_268pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_267" | |
| top: "caffe.Eltwise_267pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_268" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_267pre" | |
| top: "caffe.BN_268" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_269" | |
| type: "ReLU" | |
| bottom: "caffe.BN_268" | |
| top: "caffe.BN_268" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_270" | |
| type: "Convolution" | |
| bottom: "caffe.BN_268" | |
| top: "caffe.SpatialConvolution_270" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_271bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_270" | |
| top: "caffe.SpatialConvolution_270bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_271" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_270bn" | |
| top: "caffe.BN_271" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_272" | |
| type: "ReLU" | |
| bottom: "caffe.BN_271" | |
| top: "caffe.BN_271" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_273" | |
| type: "Convolution" | |
| bottom: "caffe.BN_271" | |
| top: "caffe.SpatialConvolution_273" | |
| convolution_param { | |
| num_output: 128 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_274bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_273" | |
| top: "caffe.SpatialConvolution_273bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_274" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_273bn" | |
| top: "caffe.BN_274" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_275" | |
| type: "ReLU" | |
| bottom: "caffe.BN_274" | |
| top: "caffe.BN_274" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_276" | |
| type: "Convolution" | |
| bottom: "caffe.BN_274" | |
| top: "caffe.SpatialConvolution_276" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_277" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_276" | |
| bottom: "caffe.Eltwise_267" | |
| top: "caffe.Eltwise_277" | |
| } | |
| layer { | |
| name: "caffe.BN_278eltpre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_277" | |
| top: "caffe.Eltwise_277" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_278" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_277" | |
| top: "caffe.Eltwise_277" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_279" | |
| type: "ReLU" | |
| bottom: "caffe.BN_278" | |
| top: "caffe.BN_278" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_280" | |
| type: "Convolution" | |
| bottom: "caffe.BN_278" | |
| top: "caffe.SpatialConvolution_280" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_281bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_280" | |
| top: "caffe.SpatialConvolution_280bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_281" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_280bn" | |
| top: "caffe.BN_281" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_282" | |
| type: "ReLU" | |
| bottom: "caffe.BN_281" | |
| top: "caffe.BN_281" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_283" | |
| type: "Convolution" | |
| bottom: "caffe.BN_281" | |
| top: "caffe.SpatialConvolution_283" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 2 | |
| stride_w: 2 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_284bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_283" | |
| top: "caffe.SpatialConvolution_283bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_284" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_283bn" | |
| top: "caffe.BN_284" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_285" | |
| type: "ReLU" | |
| bottom: "caffe.BN_284" | |
| top: "caffe.BN_284" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_286" | |
| type: "Convolution" | |
| bottom: "caffe.BN_284" | |
| top: "caffe.SpatialConvolution_286" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_287" | |
| type: "Convolution" | |
| bottom: "caffe.Eltwise_277" | |
| top: "caffe.SpatialConvolution_287" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 2 | |
| stride_w: 2 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_288bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_287" | |
| top: "caffe.SpatialConvolution_287bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_288" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_287bn" | |
| top: "caffe.BN_288" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_289" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_286" | |
| bottom: "caffe.BN_288" | |
| top: "caffe.Eltwise_289" | |
| } | |
| layer { | |
| name: "caffe.BN_290pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_289" | |
| top: "caffe.Eltwise_289pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_290" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_289pre" | |
| top: "caffe.BN_290" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_291" | |
| type: "ReLU" | |
| bottom: "caffe.BN_290" | |
| top: "caffe.BN_290" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_292" | |
| type: "Convolution" | |
| bottom: "caffe.BN_290" | |
| top: "caffe.SpatialConvolution_292" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_293bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_292" | |
| top: "caffe.SpatialConvolution_292bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_293" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_292bn" | |
| top: "caffe.BN_293" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_294" | |
| type: "ReLU" | |
| bottom: "caffe.BN_293" | |
| top: "caffe.BN_293" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_295" | |
| type: "Convolution" | |
| bottom: "caffe.BN_293" | |
| top: "caffe.SpatialConvolution_295" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_296bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_295" | |
| top: "caffe.SpatialConvolution_295bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_296" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_295bn" | |
| top: "caffe.BN_296" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_297" | |
| type: "ReLU" | |
| bottom: "caffe.BN_296" | |
| top: "caffe.BN_296" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_298" | |
| type: "Convolution" | |
| bottom: "caffe.BN_296" | |
| top: "caffe.SpatialConvolution_298" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_299" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_298" | |
| bottom: "caffe.Eltwise_289" | |
| top: "caffe.Eltwise_299" | |
| } | |
| layer { | |
| name: "caffe.BN_300pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_299" | |
| top: "caffe.Eltwise_299pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_300" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_299pre" | |
| top: "caffe.BN_300" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_301" | |
| type: "ReLU" | |
| bottom: "caffe.BN_300" | |
| top: "caffe.BN_300" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_302" | |
| type: "Convolution" | |
| bottom: "caffe.BN_300" | |
| top: "caffe.SpatialConvolution_302" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_303bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_302" | |
| top: "caffe.SpatialConvolution_302bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_303" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_302bn" | |
| top: "caffe.BN_303" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_304" | |
| type: "ReLU" | |
| bottom: "caffe.BN_303" | |
| top: "caffe.BN_303" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_305" | |
| type: "Convolution" | |
| bottom: "caffe.BN_303" | |
| top: "caffe.SpatialConvolution_305" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_306bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_305" | |
| top: "caffe.SpatialConvolution_305bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_306" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_305bn" | |
| top: "caffe.BN_306" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_307" | |
| type: "ReLU" | |
| bottom: "caffe.BN_306" | |
| top: "caffe.BN_306" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_308" | |
| type: "Convolution" | |
| bottom: "caffe.BN_306" | |
| top: "caffe.SpatialConvolution_308" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_309" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_308" | |
| bottom: "caffe.Eltwise_299" | |
| top: "caffe.Eltwise_309" | |
| } | |
| layer { | |
| name: "caffe.BN_310pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_309" | |
| top: "caffe.Eltwise_309pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_310" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_309pre" | |
| top: "caffe.BN_310" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_311" | |
| type: "ReLU" | |
| bottom: "caffe.BN_310" | |
| top: "caffe.BN_310" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_312" | |
| type: "Convolution" | |
| bottom: "caffe.BN_310" | |
| top: "caffe.SpatialConvolution_312" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_313bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_312" | |
| top: "caffe.SpatialConvolution_312bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_313" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_312bn" | |
| top: "caffe.BN_313" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_314" | |
| type: "ReLU" | |
| bottom: "caffe.BN_313" | |
| top: "caffe.BN_313" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_315" | |
| type: "Convolution" | |
| bottom: "caffe.BN_313" | |
| top: "caffe.SpatialConvolution_315" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_316bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_315" | |
| top: "caffe.SpatialConvolution_315bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_316" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_315bn" | |
| top: "caffe.BN_316" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_317" | |
| type: "ReLU" | |
| bottom: "caffe.BN_316" | |
| top: "caffe.BN_316" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_318" | |
| type: "Convolution" | |
| bottom: "caffe.BN_316" | |
| top: "caffe.SpatialConvolution_318" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_319" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_318" | |
| bottom: "caffe.Eltwise_309" | |
| top: "caffe.Eltwise_319" | |
| } | |
| layer { | |
| name: "caffe.BN_320pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_319" | |
| top: "caffe.Eltwise_319pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_320" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_319pre" | |
| top: "caffe.BN_320" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_321" | |
| type: "ReLU" | |
| bottom: "caffe.BN_320" | |
| top: "caffe.BN_320" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_322" | |
| type: "Convolution" | |
| bottom: "caffe.BN_320" | |
| top: "caffe.SpatialConvolution_322" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_323bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_322" | |
| top: "caffe.SpatialConvolution_322bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_323" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_322bn" | |
| top: "caffe.BN_323" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_324" | |
| type: "ReLU" | |
| bottom: "caffe.BN_323" | |
| top: "caffe.BN_323" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_325" | |
| type: "Convolution" | |
| bottom: "caffe.BN_323" | |
| top: "caffe.SpatialConvolution_325" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_326bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_325" | |
| top: "caffe.SpatialConvolution_325bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_326" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_325bn" | |
| top: "caffe.BN_326" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_327" | |
| type: "ReLU" | |
| bottom: "caffe.BN_326" | |
| top: "caffe.BN_326" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_328" | |
| type: "Convolution" | |
| bottom: "caffe.BN_326" | |
| top: "caffe.SpatialConvolution_328" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_329" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_328" | |
| bottom: "caffe.Eltwise_319" | |
| top: "caffe.Eltwise_329" | |
| } | |
| layer { | |
| name: "caffe.BN_330pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_329" | |
| top: "caffe.Eltwise_329pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_330" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_329pre" | |
| top: "caffe.BN_330" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_331" | |
| type: "ReLU" | |
| bottom: "caffe.BN_330" | |
| top: "caffe.BN_330" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_332" | |
| type: "Convolution" | |
| bottom: "caffe.BN_330" | |
| top: "caffe.SpatialConvolution_332" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_333bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_332" | |
| top: "caffe.SpatialConvolution_332bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_333" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_332bn" | |
| top: "caffe.BN_333" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_334" | |
| type: "ReLU" | |
| bottom: "caffe.BN_333" | |
| top: "caffe.BN_333" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_335" | |
| type: "Convolution" | |
| bottom: "caffe.BN_333" | |
| top: "caffe.SpatialConvolution_335" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_336bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_335" | |
| top: "caffe.SpatialConvolution_335bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_336" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_335bn" | |
| top: "caffe.BN_336" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_337" | |
| type: "ReLU" | |
| bottom: "caffe.BN_336" | |
| top: "caffe.BN_336" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_338" | |
| type: "Convolution" | |
| bottom: "caffe.BN_336" | |
| top: "caffe.SpatialConvolution_338" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_339" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_338" | |
| bottom: "caffe.Eltwise_329" | |
| top: "caffe.Eltwise_339" | |
| } | |
| layer { | |
| name: "caffe.BN_340pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_339" | |
| top: "caffe.Eltwise_339pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_340" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_339pre" | |
| top: "caffe.BN_340" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_341" | |
| type: "ReLU" | |
| bottom: "caffe.BN_340" | |
| top: "caffe.BN_340" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_342" | |
| type: "Convolution" | |
| bottom: "caffe.BN_340" | |
| top: "caffe.SpatialConvolution_342" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_343bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_342" | |
| top: "caffe.SpatialConvolution_342bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_343" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_342bn" | |
| top: "caffe.BN_343" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_344" | |
| type: "ReLU" | |
| bottom: "caffe.BN_343" | |
| top: "caffe.BN_343" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_345" | |
| type: "Convolution" | |
| bottom: "caffe.BN_343" | |
| top: "caffe.SpatialConvolution_345" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_346bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_345" | |
| top: "caffe.SpatialConvolution_345bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_346" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_345bn" | |
| top: "caffe.BN_346" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_347" | |
| type: "ReLU" | |
| bottom: "caffe.BN_346" | |
| top: "caffe.BN_346" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_348" | |
| type: "Convolution" | |
| bottom: "caffe.BN_346" | |
| top: "caffe.SpatialConvolution_348" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_349" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_348" | |
| bottom: "caffe.Eltwise_339" | |
| top: "caffe.Eltwise_349" | |
| } | |
| layer { | |
| name: "caffe.BN_350pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_349" | |
| top: "caffe.Eltwise_349pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_350" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_349pre" | |
| top: "caffe.BN_350" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_351" | |
| type: "ReLU" | |
| bottom: "caffe.BN_350" | |
| top: "caffe.BN_350" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_352" | |
| type: "Convolution" | |
| bottom: "caffe.BN_350" | |
| top: "caffe.SpatialConvolution_352" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_353bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_352" | |
| top: "caffe.SpatialConvolution_352bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_353" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_352bn" | |
| top: "caffe.BN_353" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_354" | |
| type: "ReLU" | |
| bottom: "caffe.BN_353" | |
| top: "caffe.BN_353" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_355" | |
| type: "Convolution" | |
| bottom: "caffe.BN_353" | |
| top: "caffe.SpatialConvolution_355" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_356bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_355" | |
| top: "caffe.SpatialConvolution_355bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_356" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_355bn" | |
| top: "caffe.BN_356" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_357" | |
| type: "ReLU" | |
| bottom: "caffe.BN_356" | |
| top: "caffe.BN_356" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_358" | |
| type: "Convolution" | |
| bottom: "caffe.BN_356" | |
| top: "caffe.SpatialConvolution_358" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_359" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_358" | |
| bottom: "caffe.Eltwise_349" | |
| top: "caffe.Eltwise_359" | |
| } | |
| layer { | |
| name: "caffe.BN_360pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_359" | |
| top: "caffe.Eltwise_359pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_360" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_359pre" | |
| top: "caffe.BN_360" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_361" | |
| type: "ReLU" | |
| bottom: "caffe.BN_360" | |
| top: "caffe.BN_360" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_362" | |
| type: "Convolution" | |
| bottom: "caffe.BN_360" | |
| top: "caffe.SpatialConvolution_362" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_363bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_362" | |
| top: "caffe.SpatialConvolution_362bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_363" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_362bn" | |
| top: "caffe.BN_363" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_364" | |
| type: "ReLU" | |
| bottom: "caffe.BN_363" | |
| top: "caffe.BN_363" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_365" | |
| type: "Convolution" | |
| bottom: "caffe.BN_363" | |
| top: "caffe.SpatialConvolution_365" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_366bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_365" | |
| top: "caffe.SpatialConvolution_365bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_366" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_365bn" | |
| top: "caffe.BN_366" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_367" | |
| type: "ReLU" | |
| bottom: "caffe.BN_366" | |
| top: "caffe.BN_366" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_368" | |
| type: "Convolution" | |
| bottom: "caffe.BN_366" | |
| top: "caffe.SpatialConvolution_368" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_369" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_368" | |
| bottom: "caffe.Eltwise_359" | |
| top: "caffe.Eltwise_369" | |
| } | |
| layer { | |
| name: "caffe.BN_370pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_369" | |
| top: "caffe.Eltwise_369pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_370" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_369pre" | |
| top: "caffe.BN_370" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_371" | |
| type: "ReLU" | |
| bottom: "caffe.BN_370" | |
| top: "caffe.BN_370" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_372" | |
| type: "Convolution" | |
| bottom: "caffe.BN_370" | |
| top: "caffe.SpatialConvolution_372" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_373bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_372" | |
| top: "caffe.SpatialConvolution_372bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_373" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_372bn" | |
| top: "caffe.BN_373" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_374" | |
| type: "ReLU" | |
| bottom: "caffe.BN_373" | |
| top: "caffe.BN_373" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_375" | |
| type: "Convolution" | |
| bottom: "caffe.BN_373" | |
| top: "caffe.SpatialConvolution_375" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_376bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_375" | |
| top: "caffe.SpatialConvolution_375bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_376" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_375bn" | |
| top: "caffe.BN_376" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_377" | |
| type: "ReLU" | |
| bottom: "caffe.BN_376" | |
| top: "caffe.BN_376" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_378" | |
| type: "Convolution" | |
| bottom: "caffe.BN_376" | |
| top: "caffe.SpatialConvolution_378" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_379" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_378" | |
| bottom: "caffe.Eltwise_369" | |
| top: "caffe.Eltwise_379" | |
| } | |
| layer { | |
| name: "caffe.BN_380pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_379" | |
| top: "caffe.Eltwise_379pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_380" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_379pre" | |
| top: "caffe.BN_380" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_381" | |
| type: "ReLU" | |
| bottom: "caffe.BN_380" | |
| top: "caffe.BN_380" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_382" | |
| type: "Convolution" | |
| bottom: "caffe.BN_380" | |
| top: "caffe.SpatialConvolution_382" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_383bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_382" | |
| top: "caffe.SpatialConvolution_382bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_383" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_382bn" | |
| top: "caffe.BN_383" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_384" | |
| type: "ReLU" | |
| bottom: "caffe.BN_383" | |
| top: "caffe.BN_383" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_385" | |
| type: "Convolution" | |
| bottom: "caffe.BN_383" | |
| top: "caffe.SpatialConvolution_385" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_386bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_385" | |
| top: "caffe.SpatialConvolution_385bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_386" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_385bn" | |
| top: "caffe.BN_386" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_387" | |
| type: "ReLU" | |
| bottom: "caffe.BN_386" | |
| top: "caffe.BN_386" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_388" | |
| type: "Convolution" | |
| bottom: "caffe.BN_386" | |
| top: "caffe.SpatialConvolution_388" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_389" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_388" | |
| bottom: "caffe.Eltwise_379" | |
| top: "caffe.Eltwise_389" | |
| } | |
| layer { | |
| name: "caffe.BN_390pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_389" | |
| top: "caffe.Eltwise_389pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_390" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_389pre" | |
| top: "caffe.BN_390" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_391" | |
| type: "ReLU" | |
| bottom: "caffe.BN_390" | |
| top: "caffe.BN_390" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_392" | |
| type: "Convolution" | |
| bottom: "caffe.BN_390" | |
| top: "caffe.SpatialConvolution_392" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_393bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_392" | |
| top: "caffe.SpatialConvolution_392bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_393" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_392bn" | |
| top: "caffe.BN_393" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_394" | |
| type: "ReLU" | |
| bottom: "caffe.BN_393" | |
| top: "caffe.BN_393" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_395" | |
| type: "Convolution" | |
| bottom: "caffe.BN_393" | |
| top: "caffe.SpatialConvolution_395" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_396bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_395" | |
| top: "caffe.SpatialConvolution_395bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_396" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_395bn" | |
| top: "caffe.BN_396" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_397" | |
| type: "ReLU" | |
| bottom: "caffe.BN_396" | |
| top: "caffe.BN_396" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_398" | |
| type: "Convolution" | |
| bottom: "caffe.BN_396" | |
| top: "caffe.SpatialConvolution_398" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_399" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_398" | |
| bottom: "caffe.Eltwise_389" | |
| top: "caffe.Eltwise_399" | |
| } | |
| layer { | |
| name: "caffe.BN_400pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_399" | |
| top: "caffe.Eltwise_399pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_400" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_399pre" | |
| top: "caffe.BN_400" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_401" | |
| type: "ReLU" | |
| bottom: "caffe.BN_400" | |
| top: "caffe.BN_400" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_402" | |
| type: "Convolution" | |
| bottom: "caffe.BN_400" | |
| top: "caffe.SpatialConvolution_402" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_403bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_402" | |
| top: "caffe.SpatialConvolution_402bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_403" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_402bn" | |
| top: "caffe.BN_403" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_404" | |
| type: "ReLU" | |
| bottom: "caffe.BN_403" | |
| top: "caffe.BN_403" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_405" | |
| type: "Convolution" | |
| bottom: "caffe.BN_403" | |
| top: "caffe.SpatialConvolution_405" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_406bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_405" | |
| top: "caffe.SpatialConvolution_405bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_406" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_405bn" | |
| top: "caffe.BN_406" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_407" | |
| type: "ReLU" | |
| bottom: "caffe.BN_406" | |
| top: "caffe.BN_406" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_408" | |
| type: "Convolution" | |
| bottom: "caffe.BN_406" | |
| top: "caffe.SpatialConvolution_408" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_409" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_408" | |
| bottom: "caffe.Eltwise_399" | |
| top: "caffe.Eltwise_409" | |
| } | |
| layer { | |
| name: "caffe.BN_410pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_409" | |
| top: "caffe.Eltwise_409pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_410" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_409pre" | |
| top: "caffe.BN_410" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_411" | |
| type: "ReLU" | |
| bottom: "caffe.BN_410" | |
| top: "caffe.BN_410" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_412" | |
| type: "Convolution" | |
| bottom: "caffe.BN_410" | |
| top: "caffe.SpatialConvolution_412" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_413bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_412" | |
| top: "caffe.SpatialConvolution_412bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_413" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_412bn" | |
| top: "caffe.BN_413" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_414" | |
| type: "ReLU" | |
| bottom: "caffe.BN_413" | |
| top: "caffe.BN_413" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_415" | |
| type: "Convolution" | |
| bottom: "caffe.BN_413" | |
| top: "caffe.SpatialConvolution_415" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_416bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_415" | |
| top: "caffe.SpatialConvolution_415bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_416" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_415bn" | |
| top: "caffe.BN_416" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_417" | |
| type: "ReLU" | |
| bottom: "caffe.BN_416" | |
| top: "caffe.BN_416" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_418" | |
| type: "Convolution" | |
| bottom: "caffe.BN_416" | |
| top: "caffe.SpatialConvolution_418" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_419" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_418" | |
| bottom: "caffe.Eltwise_409" | |
| top: "caffe.Eltwise_419" | |
| } | |
| layer { | |
| name: "caffe.BN_420pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_419" | |
| top: "caffe.Eltwise_419pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_420" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_419pre" | |
| top: "caffe.BN_420" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_421" | |
| type: "ReLU" | |
| bottom: "caffe.BN_420" | |
| top: "caffe.BN_420" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_422" | |
| type: "Convolution" | |
| bottom: "caffe.BN_420" | |
| top: "caffe.SpatialConvolution_422" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_423bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_422" | |
| top: "caffe.SpatialConvolution_422bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_423" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_422bn" | |
| top: "caffe.BN_423" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_424" | |
| type: "ReLU" | |
| bottom: "caffe.BN_423" | |
| top: "caffe.BN_423" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_425" | |
| type: "Convolution" | |
| bottom: "caffe.BN_423" | |
| top: "caffe.SpatialConvolution_425" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_426bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_425" | |
| top: "caffe.SpatialConvolution_425bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_426" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_425bn" | |
| top: "caffe.BN_426" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_427" | |
| type: "ReLU" | |
| bottom: "caffe.BN_426" | |
| top: "caffe.BN_426" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_428" | |
| type: "Convolution" | |
| bottom: "caffe.BN_426" | |
| top: "caffe.SpatialConvolution_428" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_429" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_428" | |
| bottom: "caffe.Eltwise_419" | |
| top: "caffe.Eltwise_429" | |
| } | |
| layer { | |
| name: "caffe.BN_430pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_429" | |
| top: "caffe.Eltwise_429pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_430" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_429pre" | |
| top: "caffe.BN_430" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_431" | |
| type: "ReLU" | |
| bottom: "caffe.BN_430" | |
| top: "caffe.BN_430" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_432" | |
| type: "Convolution" | |
| bottom: "caffe.BN_430" | |
| top: "caffe.SpatialConvolution_432" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_433bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_432" | |
| top: "caffe.SpatialConvolution_432bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_433" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_432bn" | |
| top: "caffe.BN_433" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_434" | |
| type: "ReLU" | |
| bottom: "caffe.BN_433" | |
| top: "caffe.BN_433" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_435" | |
| type: "Convolution" | |
| bottom: "caffe.BN_433" | |
| top: "caffe.SpatialConvolution_435" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_436bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_435" | |
| top: "caffe.SpatialConvolution_435bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_436" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_435bn" | |
| top: "caffe.BN_436" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_437" | |
| type: "ReLU" | |
| bottom: "caffe.BN_436" | |
| top: "caffe.BN_436" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_438" | |
| type: "Convolution" | |
| bottom: "caffe.BN_436" | |
| top: "caffe.SpatialConvolution_438" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_439" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_438" | |
| bottom: "caffe.Eltwise_429" | |
| top: "caffe.Eltwise_439" | |
| } | |
| layer { | |
| name: "caffe.BN_440pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_439" | |
| top: "caffe.Eltwise_439pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_440" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_439pre" | |
| top: "caffe.BN_440" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_441" | |
| type: "ReLU" | |
| bottom: "caffe.BN_440" | |
| top: "caffe.BN_440" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_442" | |
| type: "Convolution" | |
| bottom: "caffe.BN_440" | |
| top: "caffe.SpatialConvolution_442" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_443bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_442" | |
| top: "caffe.SpatialConvolution_442bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_443" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_442bn" | |
| top: "caffe.BN_443" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_444" | |
| type: "ReLU" | |
| bottom: "caffe.BN_443" | |
| top: "caffe.BN_443" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_445" | |
| type: "Convolution" | |
| bottom: "caffe.BN_443" | |
| top: "caffe.SpatialConvolution_445" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_446bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_445" | |
| top: "caffe.SpatialConvolution_445bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_446" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_445bn" | |
| top: "caffe.BN_446" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_447" | |
| type: "ReLU" | |
| bottom: "caffe.BN_446" | |
| top: "caffe.BN_446" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_448" | |
| type: "Convolution" | |
| bottom: "caffe.BN_446" | |
| top: "caffe.SpatialConvolution_448" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_449" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_448" | |
| bottom: "caffe.Eltwise_439" | |
| top: "caffe.Eltwise_449" | |
| } | |
| layer { | |
| name: "caffe.BN_450pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_449" | |
| top: "caffe.Eltwise_449pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_450" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_449pre" | |
| top: "caffe.BN_450" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_451" | |
| type: "ReLU" | |
| bottom: "caffe.BN_450" | |
| top: "caffe.BN_450" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_452" | |
| type: "Convolution" | |
| bottom: "caffe.BN_450" | |
| top: "caffe.SpatialConvolution_452" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_453bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_452" | |
| top: "caffe.SpatialConvolution_452bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_453" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_452bn" | |
| top: "caffe.BN_453" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_454" | |
| type: "ReLU" | |
| bottom: "caffe.BN_453" | |
| top: "caffe.BN_453" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_455" | |
| type: "Convolution" | |
| bottom: "caffe.BN_453" | |
| top: "caffe.SpatialConvolution_455" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_456bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_455" | |
| top: "caffe.SpatialConvolution_455bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_456" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_455bn" | |
| top: "caffe.BN_456" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_457" | |
| type: "ReLU" | |
| bottom: "caffe.BN_456" | |
| top: "caffe.BN_456" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_458" | |
| type: "Convolution" | |
| bottom: "caffe.BN_456" | |
| top: "caffe.SpatialConvolution_458" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_459" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_458" | |
| bottom: "caffe.Eltwise_449" | |
| top: "caffe.Eltwise_459" | |
| } | |
| layer { | |
| name: "caffe.BN_460pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_459" | |
| top: "caffe.Eltwise_459pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_460" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_459pre" | |
| top: "caffe.BN_460" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_461" | |
| type: "ReLU" | |
| bottom: "caffe.BN_460" | |
| top: "caffe.BN_460" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_462" | |
| type: "Convolution" | |
| bottom: "caffe.BN_460" | |
| top: "caffe.SpatialConvolution_462" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_463bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_462" | |
| top: "caffe.SpatialConvolution_462bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_463" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_462bn" | |
| top: "caffe.BN_463" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_464" | |
| type: "ReLU" | |
| bottom: "caffe.BN_463" | |
| top: "caffe.BN_463" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_465" | |
| type: "Convolution" | |
| bottom: "caffe.BN_463" | |
| top: "caffe.SpatialConvolution_465" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_466bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_465" | |
| top: "caffe.SpatialConvolution_465bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_466" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_465bn" | |
| top: "caffe.BN_466" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_467" | |
| type: "ReLU" | |
| bottom: "caffe.BN_466" | |
| top: "caffe.BN_466" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_468" | |
| type: "Convolution" | |
| bottom: "caffe.BN_466" | |
| top: "caffe.SpatialConvolution_468" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_469" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_468" | |
| bottom: "caffe.Eltwise_459" | |
| top: "caffe.Eltwise_469" | |
| } | |
| layer { | |
| name: "caffe.BN_470pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_469" | |
| top: "caffe.Eltwise_469pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_470" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_469pre" | |
| top: "caffe.BN_470" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_471" | |
| type: "ReLU" | |
| bottom: "caffe.BN_470" | |
| top: "caffe.BN_470" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_472" | |
| type: "Convolution" | |
| bottom: "caffe.BN_470" | |
| top: "caffe.SpatialConvolution_472" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_473bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_472" | |
| top: "caffe.SpatialConvolution_472bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_473" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_472bn" | |
| top: "caffe.BN_473" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_474" | |
| type: "ReLU" | |
| bottom: "caffe.BN_473" | |
| top: "caffe.BN_473" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_475" | |
| type: "Convolution" | |
| bottom: "caffe.BN_473" | |
| top: "caffe.SpatialConvolution_475" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_476bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_475" | |
| top: "caffe.SpatialConvolution_475bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_476" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_475bn" | |
| top: "caffe.BN_476" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_477" | |
| type: "ReLU" | |
| bottom: "caffe.BN_476" | |
| top: "caffe.BN_476" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_478" | |
| type: "Convolution" | |
| bottom: "caffe.BN_476" | |
| top: "caffe.SpatialConvolution_478" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_479" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_478" | |
| bottom: "caffe.Eltwise_469" | |
| top: "caffe.Eltwise_479" | |
| } | |
| layer { | |
| name: "caffe.BN_480pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_479" | |
| top: "caffe.Eltwise_479pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_480" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_479pre" | |
| top: "caffe.BN_480" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_481" | |
| type: "ReLU" | |
| bottom: "caffe.BN_480" | |
| top: "caffe.BN_480" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_482" | |
| type: "Convolution" | |
| bottom: "caffe.BN_480" | |
| top: "caffe.SpatialConvolution_482" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_483bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_482" | |
| top: "caffe.SpatialConvolution_482bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_483" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_482bn" | |
| top: "caffe.BN_483" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_484" | |
| type: "ReLU" | |
| bottom: "caffe.BN_483" | |
| top: "caffe.BN_483" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_485" | |
| type: "Convolution" | |
| bottom: "caffe.BN_483" | |
| top: "caffe.SpatialConvolution_485" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_486bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_485" | |
| top: "caffe.SpatialConvolution_485bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_486" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_485bn" | |
| top: "caffe.BN_486" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_487" | |
| type: "ReLU" | |
| bottom: "caffe.BN_486" | |
| top: "caffe.BN_486" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_488" | |
| type: "Convolution" | |
| bottom: "caffe.BN_486" | |
| top: "caffe.SpatialConvolution_488" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_489" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_488" | |
| bottom: "caffe.Eltwise_479" | |
| top: "caffe.Eltwise_489" | |
| } | |
| layer { | |
| name: "caffe.BN_490pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_489" | |
| top: "caffe.Eltwise_489pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_490" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_489pre" | |
| top: "caffe.BN_490" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_491" | |
| type: "ReLU" | |
| bottom: "caffe.BN_490" | |
| top: "caffe.BN_490" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_492" | |
| type: "Convolution" | |
| bottom: "caffe.BN_490" | |
| top: "caffe.SpatialConvolution_492" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_493bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_492" | |
| top: "caffe.SpatialConvolution_492bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_493" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_492bn" | |
| top: "caffe.BN_493" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_494" | |
| type: "ReLU" | |
| bottom: "caffe.BN_493" | |
| top: "caffe.BN_493" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_495" | |
| type: "Convolution" | |
| bottom: "caffe.BN_493" | |
| top: "caffe.SpatialConvolution_495" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_496bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_495" | |
| top: "caffe.SpatialConvolution_495bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_496" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_495bn" | |
| top: "caffe.BN_496" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_497" | |
| type: "ReLU" | |
| bottom: "caffe.BN_496" | |
| top: "caffe.BN_496" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_498" | |
| type: "Convolution" | |
| bottom: "caffe.BN_496" | |
| top: "caffe.SpatialConvolution_498" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_499" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_498" | |
| bottom: "caffe.Eltwise_489" | |
| top: "caffe.Eltwise_499" | |
| } | |
| layer { | |
| name: "caffe.BN_500pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_499" | |
| top: "caffe.Eltwise_499pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_500" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_499pre" | |
| top: "caffe.BN_500" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_501" | |
| type: "ReLU" | |
| bottom: "caffe.BN_500" | |
| top: "caffe.BN_500" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_502" | |
| type: "Convolution" | |
| bottom: "caffe.BN_500" | |
| top: "caffe.SpatialConvolution_502" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_503bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_502" | |
| top: "caffe.SpatialConvolution_502bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_503" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_502bn" | |
| top: "caffe.BN_503" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_504" | |
| type: "ReLU" | |
| bottom: "caffe.BN_503" | |
| top: "caffe.BN_503" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_505" | |
| type: "Convolution" | |
| bottom: "caffe.BN_503" | |
| top: "caffe.SpatialConvolution_505" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_506bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_505" | |
| top: "caffe.SpatialConvolution_505bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_506" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_505bn" | |
| top: "caffe.BN_506" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_507" | |
| type: "ReLU" | |
| bottom: "caffe.BN_506" | |
| top: "caffe.BN_506" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_508" | |
| type: "Convolution" | |
| bottom: "caffe.BN_506" | |
| top: "caffe.SpatialConvolution_508" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_509" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_508" | |
| bottom: "caffe.Eltwise_499" | |
| top: "caffe.Eltwise_509" | |
| } | |
| layer { | |
| name: "caffe.BN_510pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_509" | |
| top: "caffe.Eltwise_509pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_510" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_509pre" | |
| top: "caffe.BN_510" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_511" | |
| type: "ReLU" | |
| bottom: "caffe.BN_510" | |
| top: "caffe.BN_510" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_512" | |
| type: "Convolution" | |
| bottom: "caffe.BN_510" | |
| top: "caffe.SpatialConvolution_512" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_513bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_512" | |
| top: "caffe.SpatialConvolution_512bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_513" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_512bn" | |
| top: "caffe.BN_513" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_514" | |
| type: "ReLU" | |
| bottom: "caffe.BN_513" | |
| top: "caffe.BN_513" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_515" | |
| type: "Convolution" | |
| bottom: "caffe.BN_513" | |
| top: "caffe.SpatialConvolution_515" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_516bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_515" | |
| top: "caffe.SpatialConvolution_515bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_516" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_515bn" | |
| top: "caffe.BN_516" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_517" | |
| type: "ReLU" | |
| bottom: "caffe.BN_516" | |
| top: "caffe.BN_516" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_518" | |
| type: "Convolution" | |
| bottom: "caffe.BN_516" | |
| top: "caffe.SpatialConvolution_518" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_519" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_518" | |
| bottom: "caffe.Eltwise_509" | |
| top: "caffe.Eltwise_519" | |
| } | |
| layer { | |
| name: "caffe.BN_520pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_519" | |
| top: "caffe.Eltwise_519pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_520" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_519pre" | |
| top: "caffe.BN_520" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_521" | |
| type: "ReLU" | |
| bottom: "caffe.BN_520" | |
| top: "caffe.BN_520" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_522" | |
| type: "Convolution" | |
| bottom: "caffe.BN_520" | |
| top: "caffe.SpatialConvolution_522" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_523bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_522" | |
| top: "caffe.SpatialConvolution_522bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_523" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_522bn" | |
| top: "caffe.BN_523" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_524" | |
| type: "ReLU" | |
| bottom: "caffe.BN_523" | |
| top: "caffe.BN_523" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_525" | |
| type: "Convolution" | |
| bottom: "caffe.BN_523" | |
| top: "caffe.SpatialConvolution_525" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_526bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_525" | |
| top: "caffe.SpatialConvolution_525bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_526" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_525bn" | |
| top: "caffe.BN_526" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_527" | |
| type: "ReLU" | |
| bottom: "caffe.BN_526" | |
| top: "caffe.BN_526" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_528" | |
| type: "Convolution" | |
| bottom: "caffe.BN_526" | |
| top: "caffe.SpatialConvolution_528" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_529" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_528" | |
| bottom: "caffe.Eltwise_519" | |
| top: "caffe.Eltwise_529" | |
| } | |
| layer { | |
| name: "caffe.BN_530pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_529" | |
| top: "caffe.Eltwise_529pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_530" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_529pre" | |
| top: "caffe.BN_530" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_531" | |
| type: "ReLU" | |
| bottom: "caffe.BN_530" | |
| top: "caffe.BN_530" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_532" | |
| type: "Convolution" | |
| bottom: "caffe.BN_530" | |
| top: "caffe.SpatialConvolution_532" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_533bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_532" | |
| top: "caffe.SpatialConvolution_532bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_533" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_532bn" | |
| top: "caffe.BN_533" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_534" | |
| type: "ReLU" | |
| bottom: "caffe.BN_533" | |
| top: "caffe.BN_533" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_535" | |
| type: "Convolution" | |
| bottom: "caffe.BN_533" | |
| top: "caffe.SpatialConvolution_535" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_536bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_535" | |
| top: "caffe.SpatialConvolution_535bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_536" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_535bn" | |
| top: "caffe.BN_536" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_537" | |
| type: "ReLU" | |
| bottom: "caffe.BN_536" | |
| top: "caffe.BN_536" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_538" | |
| type: "Convolution" | |
| bottom: "caffe.BN_536" | |
| top: "caffe.SpatialConvolution_538" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_539" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_538" | |
| bottom: "caffe.Eltwise_529" | |
| top: "caffe.Eltwise_539" | |
| } | |
| layer { | |
| name: "caffe.BN_540pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_539" | |
| top: "caffe.Eltwise_539pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_540" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_539pre" | |
| top: "caffe.BN_540" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_541" | |
| type: "ReLU" | |
| bottom: "caffe.BN_540" | |
| top: "caffe.BN_540" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_542" | |
| type: "Convolution" | |
| bottom: "caffe.BN_540" | |
| top: "caffe.SpatialConvolution_542" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_543bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_542" | |
| top: "caffe.SpatialConvolution_542bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_543" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_542bn" | |
| top: "caffe.BN_543" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_544" | |
| type: "ReLU" | |
| bottom: "caffe.BN_543" | |
| top: "caffe.BN_543" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_545" | |
| type: "Convolution" | |
| bottom: "caffe.BN_543" | |
| top: "caffe.SpatialConvolution_545" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_546bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_545" | |
| top: "caffe.SpatialConvolution_545bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_546" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_545bn" | |
| top: "caffe.BN_546" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_547" | |
| type: "ReLU" | |
| bottom: "caffe.BN_546" | |
| top: "caffe.BN_546" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_548" | |
| type: "Convolution" | |
| bottom: "caffe.BN_546" | |
| top: "caffe.SpatialConvolution_548" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_549" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_548" | |
| bottom: "caffe.Eltwise_539" | |
| top: "caffe.Eltwise_549" | |
| } | |
| layer { | |
| name: "caffe.BN_550pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_549" | |
| top: "caffe.Eltwise_549pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_550" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_549pre" | |
| top: "caffe.BN_550" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_551" | |
| type: "ReLU" | |
| bottom: "caffe.BN_550" | |
| top: "caffe.BN_550" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_552" | |
| type: "Convolution" | |
| bottom: "caffe.BN_550" | |
| top: "caffe.SpatialConvolution_552" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_553bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_552" | |
| top: "caffe.SpatialConvolution_552bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_553" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_552bn" | |
| top: "caffe.BN_553" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_554" | |
| type: "ReLU" | |
| bottom: "caffe.BN_553" | |
| top: "caffe.BN_553" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_555" | |
| type: "Convolution" | |
| bottom: "caffe.BN_553" | |
| top: "caffe.SpatialConvolution_555" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_556bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_555" | |
| top: "caffe.SpatialConvolution_555bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_556" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_555bn" | |
| top: "caffe.BN_556" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_557" | |
| type: "ReLU" | |
| bottom: "caffe.BN_556" | |
| top: "caffe.BN_556" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_558" | |
| type: "Convolution" | |
| bottom: "caffe.BN_556" | |
| top: "caffe.SpatialConvolution_558" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_559" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_558" | |
| bottom: "caffe.Eltwise_549" | |
| top: "caffe.Eltwise_559" | |
| } | |
| layer { | |
| name: "caffe.BN_560pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_559" | |
| top: "caffe.Eltwise_559pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_560" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_559pre" | |
| top: "caffe.BN_560" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_561" | |
| type: "ReLU" | |
| bottom: "caffe.BN_560" | |
| top: "caffe.BN_560" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_562" | |
| type: "Convolution" | |
| bottom: "caffe.BN_560" | |
| top: "caffe.SpatialConvolution_562" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_563bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_562" | |
| top: "caffe.SpatialConvolution_562bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_563" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_562bn" | |
| top: "caffe.BN_563" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_564" | |
| type: "ReLU" | |
| bottom: "caffe.BN_563" | |
| top: "caffe.BN_563" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_565" | |
| type: "Convolution" | |
| bottom: "caffe.BN_563" | |
| top: "caffe.SpatialConvolution_565" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_566bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_565" | |
| top: "caffe.SpatialConvolution_565bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_566" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_565bn" | |
| top: "caffe.BN_566" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_567" | |
| type: "ReLU" | |
| bottom: "caffe.BN_566" | |
| top: "caffe.BN_566" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_568" | |
| type: "Convolution" | |
| bottom: "caffe.BN_566" | |
| top: "caffe.SpatialConvolution_568" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_569" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_568" | |
| bottom: "caffe.Eltwise_559" | |
| top: "caffe.Eltwise_569" | |
| } | |
| layer { | |
| name: "caffe.BN_570pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_569" | |
| top: "caffe.Eltwise_569pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_570" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_569pre" | |
| top: "caffe.BN_570" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_571" | |
| type: "ReLU" | |
| bottom: "caffe.BN_570" | |
| top: "caffe.BN_570" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_572" | |
| type: "Convolution" | |
| bottom: "caffe.BN_570" | |
| top: "caffe.SpatialConvolution_572" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_573bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_572" | |
| top: "caffe.SpatialConvolution_572bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_573" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_572bn" | |
| top: "caffe.BN_573" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_574" | |
| type: "ReLU" | |
| bottom: "caffe.BN_573" | |
| top: "caffe.BN_573" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_575" | |
| type: "Convolution" | |
| bottom: "caffe.BN_573" | |
| top: "caffe.SpatialConvolution_575" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_576bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_575" | |
| top: "caffe.SpatialConvolution_575bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_576" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_575bn" | |
| top: "caffe.BN_576" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_577" | |
| type: "ReLU" | |
| bottom: "caffe.BN_576" | |
| top: "caffe.BN_576" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_578" | |
| type: "Convolution" | |
| bottom: "caffe.BN_576" | |
| top: "caffe.SpatialConvolution_578" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_579" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_578" | |
| bottom: "caffe.Eltwise_569" | |
| top: "caffe.Eltwise_579" | |
| } | |
| layer { | |
| name: "caffe.BN_580pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_579" | |
| top: "caffe.Eltwise_579pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_580" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_579pre" | |
| top: "caffe.BN_580" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_581" | |
| type: "ReLU" | |
| bottom: "caffe.BN_580" | |
| top: "caffe.BN_580" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_582" | |
| type: "Convolution" | |
| bottom: "caffe.BN_580" | |
| top: "caffe.SpatialConvolution_582" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_583bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_582" | |
| top: "caffe.SpatialConvolution_582bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_583" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_582bn" | |
| top: "caffe.BN_583" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_584" | |
| type: "ReLU" | |
| bottom: "caffe.BN_583" | |
| top: "caffe.BN_583" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_585" | |
| type: "Convolution" | |
| bottom: "caffe.BN_583" | |
| top: "caffe.SpatialConvolution_585" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_586bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_585" | |
| top: "caffe.SpatialConvolution_585bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_586" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_585bn" | |
| top: "caffe.BN_586" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_587" | |
| type: "ReLU" | |
| bottom: "caffe.BN_586" | |
| top: "caffe.BN_586" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_588" | |
| type: "Convolution" | |
| bottom: "caffe.BN_586" | |
| top: "caffe.SpatialConvolution_588" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_589" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_588" | |
| bottom: "caffe.Eltwise_579" | |
| top: "caffe.Eltwise_589" | |
| } | |
| layer { | |
| name: "caffe.BN_590pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_589" | |
| top: "caffe.Eltwise_589pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_590" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_589pre" | |
| top: "caffe.BN_590" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_591" | |
| type: "ReLU" | |
| bottom: "caffe.BN_590" | |
| top: "caffe.BN_590" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_592" | |
| type: "Convolution" | |
| bottom: "caffe.BN_590" | |
| top: "caffe.SpatialConvolution_592" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_593bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_592" | |
| top: "caffe.SpatialConvolution_592bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_593" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_592bn" | |
| top: "caffe.BN_593" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_594" | |
| type: "ReLU" | |
| bottom: "caffe.BN_593" | |
| top: "caffe.BN_593" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_595" | |
| type: "Convolution" | |
| bottom: "caffe.BN_593" | |
| top: "caffe.SpatialConvolution_595" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_596bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_595" | |
| top: "caffe.SpatialConvolution_595bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_596" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_595bn" | |
| top: "caffe.BN_596" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_597" | |
| type: "ReLU" | |
| bottom: "caffe.BN_596" | |
| top: "caffe.BN_596" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_598" | |
| type: "Convolution" | |
| bottom: "caffe.BN_596" | |
| top: "caffe.SpatialConvolution_598" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_599" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_598" | |
| bottom: "caffe.Eltwise_589" | |
| top: "caffe.Eltwise_599" | |
| } | |
| layer { | |
| name: "caffe.BN_600pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_599" | |
| top: "caffe.Eltwise_599pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_600" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_599pre" | |
| top: "caffe.BN_600" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_601" | |
| type: "ReLU" | |
| bottom: "caffe.BN_600" | |
| top: "caffe.BN_600" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_602" | |
| type: "Convolution" | |
| bottom: "caffe.BN_600" | |
| top: "caffe.SpatialConvolution_602" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_603bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_602" | |
| top: "caffe.SpatialConvolution_602bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_603" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_602bn" | |
| top: "caffe.BN_603" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_604" | |
| type: "ReLU" | |
| bottom: "caffe.BN_603" | |
| top: "caffe.BN_603" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_605" | |
| type: "Convolution" | |
| bottom: "caffe.BN_603" | |
| top: "caffe.SpatialConvolution_605" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_606bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_605" | |
| top: "caffe.SpatialConvolution_605bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_606" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_605bn" | |
| top: "caffe.BN_606" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_607" | |
| type: "ReLU" | |
| bottom: "caffe.BN_606" | |
| top: "caffe.BN_606" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_608" | |
| type: "Convolution" | |
| bottom: "caffe.BN_606" | |
| top: "caffe.SpatialConvolution_608" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_609" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_608" | |
| bottom: "caffe.Eltwise_599" | |
| top: "caffe.Eltwise_609" | |
| } | |
| layer { | |
| name: "caffe.BN_610pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_609" | |
| top: "caffe.Eltwise_609pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_610" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_609pre" | |
| top: "caffe.BN_610" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_611" | |
| type: "ReLU" | |
| bottom: "caffe.BN_610" | |
| top: "caffe.BN_610" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_612" | |
| type: "Convolution" | |
| bottom: "caffe.BN_610" | |
| top: "caffe.SpatialConvolution_612" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_613bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_612" | |
| top: "caffe.SpatialConvolution_612bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_613" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_612bn" | |
| top: "caffe.BN_613" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_614" | |
| type: "ReLU" | |
| bottom: "caffe.BN_613" | |
| top: "caffe.BN_613" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_615" | |
| type: "Convolution" | |
| bottom: "caffe.BN_613" | |
| top: "caffe.SpatialConvolution_615" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_616bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_615" | |
| top: "caffe.SpatialConvolution_615bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_616" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_615bn" | |
| top: "caffe.BN_616" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_617" | |
| type: "ReLU" | |
| bottom: "caffe.BN_616" | |
| top: "caffe.BN_616" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_618" | |
| type: "Convolution" | |
| bottom: "caffe.BN_616" | |
| top: "caffe.SpatialConvolution_618" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_619" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_618" | |
| bottom: "caffe.Eltwise_609" | |
| top: "caffe.Eltwise_619" | |
| } | |
| layer { | |
| name: "caffe.BN_620pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_619" | |
| top: "caffe.Eltwise_619pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_620" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_619pre" | |
| top: "caffe.BN_620" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_621" | |
| type: "ReLU" | |
| bottom: "caffe.BN_620" | |
| top: "caffe.BN_620" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_622" | |
| type: "Convolution" | |
| bottom: "caffe.BN_620" | |
| top: "caffe.SpatialConvolution_622" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_623bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_622" | |
| top: "caffe.SpatialConvolution_622bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_623" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_622bn" | |
| top: "caffe.BN_623" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_624" | |
| type: "ReLU" | |
| bottom: "caffe.BN_623" | |
| top: "caffe.BN_623" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_625" | |
| type: "Convolution" | |
| bottom: "caffe.BN_623" | |
| top: "caffe.SpatialConvolution_625" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_626bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_625" | |
| top: "caffe.SpatialConvolution_625bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_626" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_625bn" | |
| top: "caffe.BN_626" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_627" | |
| type: "ReLU" | |
| bottom: "caffe.BN_626" | |
| top: "caffe.BN_626" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_628" | |
| type: "Convolution" | |
| bottom: "caffe.BN_626" | |
| top: "caffe.SpatialConvolution_628" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_629" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_628" | |
| bottom: "caffe.Eltwise_619" | |
| top: "caffe.Eltwise_629" | |
| } | |
| layer { | |
| name: "caffe.BN_630pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_629" | |
| top: "caffe.Eltwise_629pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_630" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_629pre" | |
| top: "caffe.BN_630" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_631" | |
| type: "ReLU" | |
| bottom: "caffe.BN_630" | |
| top: "caffe.BN_630" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_632" | |
| type: "Convolution" | |
| bottom: "caffe.BN_630" | |
| top: "caffe.SpatialConvolution_632" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_633bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_632" | |
| top: "caffe.SpatialConvolution_632bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_633" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_632bn" | |
| top: "caffe.BN_633" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_634" | |
| type: "ReLU" | |
| bottom: "caffe.BN_633" | |
| top: "caffe.BN_633" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_635" | |
| type: "Convolution" | |
| bottom: "caffe.BN_633" | |
| top: "caffe.SpatialConvolution_635" | |
| convolution_param { | |
| num_output: 256 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_636bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_635" | |
| top: "caffe.SpatialConvolution_635bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_636" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_635bn" | |
| top: "caffe.BN_636" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_637" | |
| type: "ReLU" | |
| bottom: "caffe.BN_636" | |
| top: "caffe.BN_636" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_638" | |
| type: "Convolution" | |
| bottom: "caffe.BN_636" | |
| top: "caffe.SpatialConvolution_638" | |
| convolution_param { | |
| num_output: 1024 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_639" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_638" | |
| bottom: "caffe.Eltwise_629" | |
| top: "caffe.Eltwise_639" | |
| } | |
| layer { | |
| name: "caffe.BN_640eltpre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_639" | |
| top: "caffe.Eltwise_639" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_640" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_639" | |
| top: "caffe.Eltwise_639" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_641" | |
| type: "ReLU" | |
| bottom: "caffe.BN_640" | |
| top: "caffe.BN_640" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_642" | |
| type: "Convolution" | |
| bottom: "caffe.BN_640" | |
| top: "caffe.SpatialConvolution_642" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_643bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_642" | |
| top: "caffe.SpatialConvolution_642bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_643" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_642bn" | |
| top: "caffe.BN_643" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_644" | |
| type: "ReLU" | |
| bottom: "caffe.BN_643" | |
| top: "caffe.BN_643" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_645" | |
| type: "Convolution" | |
| bottom: "caffe.BN_643" | |
| top: "caffe.SpatialConvolution_645" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 2 | |
| stride_w: 2 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_646bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_645" | |
| top: "caffe.SpatialConvolution_645bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_646" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_645bn" | |
| top: "caffe.BN_646" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_647" | |
| type: "ReLU" | |
| bottom: "caffe.BN_646" | |
| top: "caffe.BN_646" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_648" | |
| type: "Convolution" | |
| bottom: "caffe.BN_646" | |
| top: "caffe.SpatialConvolution_648" | |
| convolution_param { | |
| num_output: 2048 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_649" | |
| type: "Convolution" | |
| bottom: "caffe.Eltwise_639" | |
| top: "caffe.SpatialConvolution_649" | |
| convolution_param { | |
| num_output: 2048 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 2 | |
| stride_w: 2 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_650bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_649" | |
| top: "caffe.SpatialConvolution_649bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_650" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_649bn" | |
| top: "caffe.BN_650" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_651" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_648" | |
| bottom: "caffe.BN_650" | |
| top: "caffe.Eltwise_651" | |
| } | |
| layer { | |
| name: "caffe.BN_652pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_651" | |
| top: "caffe.Eltwise_651pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_652" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_651pre" | |
| top: "caffe.BN_652" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_653" | |
| type: "ReLU" | |
| bottom: "caffe.BN_652" | |
| top: "caffe.BN_652" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_654" | |
| type: "Convolution" | |
| bottom: "caffe.BN_652" | |
| top: "caffe.SpatialConvolution_654" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_655bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_654" | |
| top: "caffe.SpatialConvolution_654bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_655" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_654bn" | |
| top: "caffe.BN_655" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_656" | |
| type: "ReLU" | |
| bottom: "caffe.BN_655" | |
| top: "caffe.BN_655" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_657" | |
| type: "Convolution" | |
| bottom: "caffe.BN_655" | |
| top: "caffe.SpatialConvolution_657" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_658bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_657" | |
| top: "caffe.SpatialConvolution_657bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_658" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_657bn" | |
| top: "caffe.BN_658" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_659" | |
| type: "ReLU" | |
| bottom: "caffe.BN_658" | |
| top: "caffe.BN_658" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_660" | |
| type: "Convolution" | |
| bottom: "caffe.BN_658" | |
| top: "caffe.SpatialConvolution_660" | |
| convolution_param { | |
| num_output: 2048 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_661" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_660" | |
| bottom: "caffe.Eltwise_651" | |
| top: "caffe.Eltwise_661" | |
| } | |
| layer { | |
| name: "caffe.BN_662pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_661" | |
| top: "caffe.Eltwise_661pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_662" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_661pre" | |
| top: "caffe.BN_662" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_663" | |
| type: "ReLU" | |
| bottom: "caffe.BN_662" | |
| top: "caffe.BN_662" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_664" | |
| type: "Convolution" | |
| bottom: "caffe.BN_662" | |
| top: "caffe.SpatialConvolution_664" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_665bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_664" | |
| top: "caffe.SpatialConvolution_664bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_665" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_664bn" | |
| top: "caffe.BN_665" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_666" | |
| type: "ReLU" | |
| bottom: "caffe.BN_665" | |
| top: "caffe.BN_665" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_667" | |
| type: "Convolution" | |
| bottom: "caffe.BN_665" | |
| top: "caffe.SpatialConvolution_667" | |
| convolution_param { | |
| num_output: 512 | |
| pad_h: 1 | |
| pad_w: 1 | |
| kernel_h: 3 | |
| kernel_w: 3 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_668bn" | |
| type: "BatchNorm" | |
| bottom: "caffe.SpatialConvolution_667" | |
| top: "caffe.SpatialConvolution_667bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_668" | |
| type: "Scale" | |
| bottom: "caffe.SpatialConvolution_667bn" | |
| top: "caffe.BN_668" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_669" | |
| type: "ReLU" | |
| bottom: "caffe.BN_668" | |
| top: "caffe.BN_668" | |
| } | |
| layer { | |
| name: "caffe.SpatialConvolution_670" | |
| type: "Convolution" | |
| bottom: "caffe.BN_668" | |
| top: "caffe.SpatialConvolution_670" | |
| convolution_param { | |
| num_output: 2048 | |
| pad_h: 0 | |
| pad_w: 0 | |
| kernel_h: 1 | |
| kernel_w: 1 | |
| stride_h: 1 | |
| stride_w: 1 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Eltwise_671" | |
| type: "Eltwise" | |
| bottom: "caffe.SpatialConvolution_670" | |
| bottom: "caffe.Eltwise_661" | |
| top: "caffe.Eltwise_671" | |
| } | |
| layer { | |
| name: "caffe.BN_672pre" | |
| type: "BatchNorm" | |
| bottom: "caffe.Eltwise_671" | |
| top: "caffe.Eltwise_671pre" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "caffe.BN_672" | |
| type: "Scale" | |
| bottom: "caffe.Eltwise_671pre" | |
| top: "caffe.BN_672" | |
| scale_param { | |
| filler { | |
| value: 1 | |
| } | |
| bias_filler { | |
| value: 1 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "caffe.ReLU_673" | |
| type: "ReLU" | |
| bottom: "caffe.BN_672" | |
| top: "caffe.BN_672" | |
| } | |
| layer { | |
| name: "caffe.Pooling_674" | |
| type: "Pooling" | |
| bottom: "caffe.BN_672" | |
| top: "caffe.Pooling_674" | |
| pooling_param { | |
| pool: AVE | |
| kernel_h: 7 | |
| kernel_w: 7 | |
| stride_h: 1 | |
| stride_w: 1 | |
| pad_h: 0 | |
| pad_w: 0 | |
| } | |
| } | |
| layer { | |
| name: "caffe.Flatten_675" | |
| type: "Flatten" | |
| bottom: "caffe.Pooling_674" | |
| top: "caffe.Flatten_675" | |
| } | |
| layer { | |
| name: "caffe.InnerProduct_676" | |
| type: "InnerProduct" | |
| bottom: "caffe.Flatten_675" | |
| top: "caffe.InnerProduct_676" | |
| inner_product_param { | |
| num_output: 1000 | |
| axis: -1 | |
| } | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment