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wrn_real
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| name: "wrn" | |
| layer { | |
| name: "data" | |
| type: "Input" | |
| top: "data" | |
| input_param { shape: { dim: 1 dim: 3 dim: 32 dim: 32 } } | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-0-1" | |
| bottom: "data" | |
| top: "Convolution2DFunction-0-1" | |
| convolution_param { | |
| num_output: 16 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-1-1_bn" | |
| bottom: "Convolution2DFunction-0-1" | |
| top: "FixedBatchNormalization-1-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-1-1" | |
| bottom: "FixedBatchNormalization-1-1_bn" | |
| top: "FixedBatchNormalization-1-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-2-1" | |
| bottom: "FixedBatchNormalization-1-1" | |
| top: "ReLU-2-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-3-1" | |
| bottom: "ReLU-2-1" | |
| top: "Convolution2DFunction-3-1" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 0 | |
| pad_h: 0 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 1 | |
| kernel_h: 1 | |
| } | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-3-2" | |
| bottom: "ReLU-2-1" | |
| top: "Convolution2DFunction-3-2" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-4-1_bn" | |
| bottom: "Convolution2DFunction-3-2" | |
| top: "FixedBatchNormalization-4-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-4-1" | |
| bottom: "FixedBatchNormalization-4-1_bn" | |
| top: "FixedBatchNormalization-4-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-5-1" | |
| bottom: "FixedBatchNormalization-4-1" | |
| top: "ReLU-5-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-6-1" | |
| bottom: "ReLU-5-1" | |
| top: "Convolution2DFunction-6-1" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-7-1" | |
| bottom: "Convolution2DFunction-6-1" | |
| bottom: "Convolution2DFunction-3-1" | |
| top: "_ + _-7-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-8-1_bn" | |
| bottom: "_ + _-7-1" | |
| top: "FixedBatchNormalization-8-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-8-1" | |
| bottom: "FixedBatchNormalization-8-1_bn" | |
| top: "FixedBatchNormalization-8-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-9-1" | |
| bottom: "FixedBatchNormalization-8-1" | |
| top: "ReLU-9-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-10-1" | |
| bottom: "ReLU-9-1" | |
| top: "Convolution2DFunction-10-1" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-11-1_bn" | |
| bottom: "Convolution2DFunction-10-1" | |
| top: "FixedBatchNormalization-11-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-11-1" | |
| bottom: "FixedBatchNormalization-11-1_bn" | |
| top: "FixedBatchNormalization-11-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-12-1" | |
| bottom: "FixedBatchNormalization-11-1" | |
| top: "ReLU-12-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-13-1" | |
| bottom: "ReLU-12-1" | |
| top: "Convolution2DFunction-13-1" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-14-1" | |
| bottom: "Convolution2DFunction-13-1" | |
| bottom: "ReLU-9-1" | |
| top: "_ + _-14-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-15-1_bn" | |
| bottom: "_ + _-14-1" | |
| top: "FixedBatchNormalization-15-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-15-1" | |
| bottom: "FixedBatchNormalization-15-1_bn" | |
| top: "FixedBatchNormalization-15-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-16-1" | |
| bottom: "FixedBatchNormalization-15-1" | |
| top: "ReLU-16-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-17-1" | |
| bottom: "ReLU-16-1" | |
| top: "Convolution2DFunction-17-1" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-18-1_bn" | |
| bottom: "Convolution2DFunction-17-1" | |
| top: "FixedBatchNormalization-18-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-18-1" | |
| bottom: "FixedBatchNormalization-18-1_bn" | |
| top: "FixedBatchNormalization-18-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-19-1" | |
| bottom: "FixedBatchNormalization-18-1" | |
| top: "ReLU-19-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-20-1" | |
| bottom: "ReLU-19-1" | |
| top: "Convolution2DFunction-20-1" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-21-1" | |
| bottom: "Convolution2DFunction-20-1" | |
| bottom: "ReLU-16-1" | |
| top: "_ + _-21-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-22-1_bn" | |
| bottom: "_ + _-21-1" | |
| top: "FixedBatchNormalization-22-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-22-1" | |
| bottom: "FixedBatchNormalization-22-1_bn" | |
| top: "FixedBatchNormalization-22-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-23-1" | |
| bottom: "FixedBatchNormalization-22-1" | |
| top: "ReLU-23-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-24-1" | |
| bottom: "ReLU-23-1" | |
| top: "Convolution2DFunction-24-1" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-25-1_bn" | |
| bottom: "Convolution2DFunction-24-1" | |
| top: "FixedBatchNormalization-25-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-25-1" | |
| bottom: "FixedBatchNormalization-25-1_bn" | |
| top: "FixedBatchNormalization-25-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-26-1" | |
| bottom: "FixedBatchNormalization-25-1" | |
| top: "ReLU-26-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-27-1" | |
| bottom: "ReLU-26-1" | |
| top: "Convolution2DFunction-27-1" | |
| convolution_param { | |
| num_output: 160 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-28-1" | |
| bottom: "Convolution2DFunction-27-1" | |
| bottom: "ReLU-23-1" | |
| top: "_ + _-28-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-29-1_bn" | |
| bottom: "_ + _-28-1" | |
| top: "FixedBatchNormalization-29-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-29-1" | |
| bottom: "FixedBatchNormalization-29-1_bn" | |
| top: "FixedBatchNormalization-29-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-30-1" | |
| bottom: "FixedBatchNormalization-29-1" | |
| top: "ReLU-30-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-31-1" | |
| bottom: "ReLU-30-1" | |
| top: "Convolution2DFunction-31-1" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 0 | |
| pad_h: 0 | |
| stride_w: 2 | |
| stride_h: 2 | |
| kernel_w: 1 | |
| kernel_h: 1 | |
| } | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-31-2" | |
| bottom: "ReLU-30-1" | |
| top: "Convolution2DFunction-31-2" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 2 | |
| stride_h: 2 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-32-1_bn" | |
| bottom: "Convolution2DFunction-31-2" | |
| top: "FixedBatchNormalization-32-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-32-1" | |
| bottom: "FixedBatchNormalization-32-1_bn" | |
| top: "FixedBatchNormalization-32-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-33-1" | |
| bottom: "FixedBatchNormalization-32-1" | |
| top: "ReLU-33-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-34-1" | |
| bottom: "ReLU-33-1" | |
| top: "Convolution2DFunction-34-1" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-35-1" | |
| bottom: "Convolution2DFunction-34-1" | |
| bottom: "Convolution2DFunction-31-1" | |
| top: "_ + _-35-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-36-1_bn" | |
| bottom: "_ + _-35-1" | |
| top: "FixedBatchNormalization-36-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-36-1" | |
| bottom: "FixedBatchNormalization-36-1_bn" | |
| top: "FixedBatchNormalization-36-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-37-1" | |
| bottom: "FixedBatchNormalization-36-1" | |
| top: "ReLU-37-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-38-1" | |
| bottom: "ReLU-37-1" | |
| top: "Convolution2DFunction-38-1" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-39-1_bn" | |
| bottom: "Convolution2DFunction-38-1" | |
| top: "FixedBatchNormalization-39-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-39-1" | |
| bottom: "FixedBatchNormalization-39-1_bn" | |
| top: "FixedBatchNormalization-39-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-40-1" | |
| bottom: "FixedBatchNormalization-39-1" | |
| top: "ReLU-40-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-41-1" | |
| bottom: "ReLU-40-1" | |
| top: "Convolution2DFunction-41-1" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-42-1" | |
| bottom: "Convolution2DFunction-41-1" | |
| bottom: "ReLU-37-1" | |
| top: "_ + _-42-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-43-1_bn" | |
| bottom: "_ + _-42-1" | |
| top: "FixedBatchNormalization-43-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-43-1" | |
| bottom: "FixedBatchNormalization-43-1_bn" | |
| top: "FixedBatchNormalization-43-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-44-1" | |
| bottom: "FixedBatchNormalization-43-1" | |
| top: "ReLU-44-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-45-1" | |
| bottom: "ReLU-44-1" | |
| top: "Convolution2DFunction-45-1" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-46-1_bn" | |
| bottom: "Convolution2DFunction-45-1" | |
| top: "FixedBatchNormalization-46-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-46-1" | |
| bottom: "FixedBatchNormalization-46-1_bn" | |
| top: "FixedBatchNormalization-46-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-47-1" | |
| bottom: "FixedBatchNormalization-46-1" | |
| top: "ReLU-47-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-48-1" | |
| bottom: "ReLU-47-1" | |
| top: "Convolution2DFunction-48-1" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-49-1" | |
| bottom: "Convolution2DFunction-48-1" | |
| bottom: "ReLU-44-1" | |
| top: "_ + _-49-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-50-1_bn" | |
| bottom: "_ + _-49-1" | |
| top: "FixedBatchNormalization-50-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-50-1" | |
| bottom: "FixedBatchNormalization-50-1_bn" | |
| top: "FixedBatchNormalization-50-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-51-1" | |
| bottom: "FixedBatchNormalization-50-1" | |
| top: "ReLU-51-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-52-1" | |
| bottom: "ReLU-51-1" | |
| top: "Convolution2DFunction-52-1" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-53-1_bn" | |
| bottom: "Convolution2DFunction-52-1" | |
| top: "FixedBatchNormalization-53-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-53-1" | |
| bottom: "FixedBatchNormalization-53-1_bn" | |
| top: "FixedBatchNormalization-53-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-54-1" | |
| bottom: "FixedBatchNormalization-53-1" | |
| top: "ReLU-54-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-55-1" | |
| bottom: "ReLU-54-1" | |
| top: "Convolution2DFunction-55-1" | |
| convolution_param { | |
| num_output: 320 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-56-1" | |
| bottom: "Convolution2DFunction-55-1" | |
| bottom: "ReLU-51-1" | |
| top: "_ + _-56-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-57-1_bn" | |
| bottom: "_ + _-56-1" | |
| top: "FixedBatchNormalization-57-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-57-1" | |
| bottom: "FixedBatchNormalization-57-1_bn" | |
| top: "FixedBatchNormalization-57-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-58-1" | |
| bottom: "FixedBatchNormalization-57-1" | |
| top: "ReLU-58-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-59-1" | |
| bottom: "ReLU-58-1" | |
| top: "Convolution2DFunction-59-1" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 0 | |
| pad_h: 0 | |
| stride_w: 2 | |
| stride_h: 2 | |
| kernel_w: 1 | |
| kernel_h: 1 | |
| } | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-59-2" | |
| bottom: "ReLU-58-1" | |
| top: "Convolution2DFunction-59-2" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 2 | |
| stride_h: 2 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-60-1_bn" | |
| bottom: "Convolution2DFunction-59-2" | |
| top: "FixedBatchNormalization-60-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-60-1" | |
| bottom: "FixedBatchNormalization-60-1_bn" | |
| top: "FixedBatchNormalization-60-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-61-1" | |
| bottom: "FixedBatchNormalization-60-1" | |
| top: "ReLU-61-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-62-1" | |
| bottom: "ReLU-61-1" | |
| top: "Convolution2DFunction-62-1" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-63-1" | |
| bottom: "Convolution2DFunction-62-1" | |
| bottom: "Convolution2DFunction-59-1" | |
| top: "_ + _-63-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-64-1_bn" | |
| bottom: "_ + _-63-1" | |
| top: "FixedBatchNormalization-64-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-64-1" | |
| bottom: "FixedBatchNormalization-64-1_bn" | |
| top: "FixedBatchNormalization-64-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-65-1" | |
| bottom: "FixedBatchNormalization-64-1" | |
| top: "ReLU-65-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-66-1" | |
| bottom: "ReLU-65-1" | |
| top: "Convolution2DFunction-66-1" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-67-1_bn" | |
| bottom: "Convolution2DFunction-66-1" | |
| top: "FixedBatchNormalization-67-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-67-1" | |
| bottom: "FixedBatchNormalization-67-1_bn" | |
| top: "FixedBatchNormalization-67-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-68-1" | |
| bottom: "FixedBatchNormalization-67-1" | |
| top: "ReLU-68-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-69-1" | |
| bottom: "ReLU-68-1" | |
| top: "Convolution2DFunction-69-1" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-70-1" | |
| bottom: "Convolution2DFunction-69-1" | |
| bottom: "ReLU-65-1" | |
| top: "_ + _-70-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-71-1_bn" | |
| bottom: "_ + _-70-1" | |
| top: "FixedBatchNormalization-71-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-71-1" | |
| bottom: "FixedBatchNormalization-71-1_bn" | |
| top: "FixedBatchNormalization-71-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-72-1" | |
| bottom: "FixedBatchNormalization-71-1" | |
| top: "ReLU-72-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-73-1" | |
| bottom: "ReLU-72-1" | |
| top: "Convolution2DFunction-73-1" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-74-1_bn" | |
| bottom: "Convolution2DFunction-73-1" | |
| top: "FixedBatchNormalization-74-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-74-1" | |
| bottom: "FixedBatchNormalization-74-1_bn" | |
| top: "FixedBatchNormalization-74-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-75-1" | |
| bottom: "FixedBatchNormalization-74-1" | |
| top: "ReLU-75-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-76-1" | |
| bottom: "ReLU-75-1" | |
| top: "Convolution2DFunction-76-1" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-77-1" | |
| bottom: "Convolution2DFunction-76-1" | |
| bottom: "ReLU-72-1" | |
| top: "_ + _-77-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-78-1_bn" | |
| bottom: "_ + _-77-1" | |
| top: "FixedBatchNormalization-78-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-78-1" | |
| bottom: "FixedBatchNormalization-78-1_bn" | |
| top: "FixedBatchNormalization-78-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-79-1" | |
| bottom: "FixedBatchNormalization-78-1" | |
| top: "ReLU-79-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-80-1" | |
| bottom: "ReLU-79-1" | |
| top: "Convolution2DFunction-80-1" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-81-1_bn" | |
| bottom: "Convolution2DFunction-80-1" | |
| top: "FixedBatchNormalization-81-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-81-1" | |
| bottom: "FixedBatchNormalization-81-1_bn" | |
| top: "FixedBatchNormalization-81-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-82-1" | |
| bottom: "FixedBatchNormalization-81-1" | |
| top: "ReLU-82-1" | |
| } | |
| layer { | |
| type: "Convolution" | |
| name: "Convolution2DFunction-83-1" | |
| bottom: "ReLU-82-1" | |
| top: "Convolution2DFunction-83-1" | |
| convolution_param { | |
| num_output: 640 | |
| bias_term: false | |
| pad_w: 1 | |
| pad_h: 1 | |
| stride_w: 1 | |
| stride_h: 1 | |
| kernel_w: 3 | |
| kernel_h: 3 | |
| } | |
| } | |
| layer { | |
| type: "Eltwise" | |
| name: "_ + _-84-1" | |
| bottom: "Convolution2DFunction-83-1" | |
| bottom: "ReLU-79-1" | |
| top: "_ + _-84-1" | |
| } | |
| layer { | |
| type: "BatchNorm" | |
| name: "FixedBatchNormalization-85-1_bn" | |
| bottom: "_ + _-84-1" | |
| top: "FixedBatchNormalization-85-1_bn" | |
| batch_norm_param { | |
| use_global_stats: true | |
| eps: 2e-05 | |
| } | |
| } | |
| layer { | |
| type: "Scale" | |
| name: "FixedBatchNormalization-85-1" | |
| bottom: "FixedBatchNormalization-85-1_bn" | |
| top: "FixedBatchNormalization-85-1" | |
| scale_param { | |
| axis: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| type: "ReLU" | |
| name: "ReLU-86-1" | |
| bottom: "FixedBatchNormalization-85-1" | |
| top: "ReLU-86-1" | |
| } | |
| layer { | |
| type: "Pooling" | |
| name: "AveragePooling2D-87-1" | |
| bottom: "ReLU-86-1" | |
| top: "AveragePooling2D-87-1" | |
| pooling_param { | |
| pool: AVE | |
| pad_w: 0 | |
| pad_h: 0 | |
| stride_w: 8 | |
| stride_h: 8 | |
| kernel_w: 8 | |
| kernel_h: 8 | |
| } | |
| } | |
| layer { | |
| type: "Reshape" | |
| name: "Reshape-88-1" | |
| bottom: "AveragePooling2D-87-1" | |
| top: "Reshape-88-1" | |
| reshape_param { | |
| shape { | |
| dim: 1 | |
| dim: -1 | |
| } | |
| } | |
| } | |
| layer { | |
| type: "InnerProduct" | |
| name: "LinearFunction-89-1" | |
| bottom: "Reshape-88-1" | |
| top: "LinearFunction-89-1" | |
| inner_product_param { | |
| num_output: 10 | |
| bias_term: true | |
| } | |
| } | |
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