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+name: "ResNet_50_1by2_nsfw"
+layer {
+ name: "data"
+ type: "Input"
+ top: "data"
+ input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } }
+}
+layer {
+ name: "conv_1"
+ type: "Convolution"
+ bottom: "data"
+ top: "conv_1"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 3
+ kernel_size: 7
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_1"
+ type: "BatchNorm"
+ bottom: "conv_1"
+ top: "conv_1"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_1"
+ type: "Scale"
+ bottom: "conv_1"
+ top: "conv_1"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_1"
+ type: "ReLU"
+ bottom: "conv_1"
+ top: "conv_1"
+}
+layer {
+ name: "pool1"
+ type: "Pooling"
+ bottom: "conv_1"
+ top: "pool1"
+ pooling_param {
+ pool: MAX
+ kernel_size: 3
+ stride: 2
+ }
+}
+layer {
+ name: "conv_stage0_block0_proj_shortcut"
+ type: "Convolution"
+ bottom: "pool1"
+ top: "conv_stage0_block0_proj_shortcut"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block0_proj_shortcut"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block0_proj_shortcut"
+ top: "conv_stage0_block0_proj_shortcut"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block0_proj_shortcut"
+ type: "Scale"
+ bottom: "conv_stage0_block0_proj_shortcut"
+ top: "conv_stage0_block0_proj_shortcut"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "conv_stage0_block0_branch2a"
+ type: "Convolution"
+ bottom: "pool1"
+ top: "conv_stage0_block0_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 32
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block0_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block0_branch2a"
+ top: "conv_stage0_block0_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block0_branch2a"
+ type: "Scale"
+ bottom: "conv_stage0_block0_branch2a"
+ top: "conv_stage0_block0_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage0_block0_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage0_block0_branch2a"
+ top: "conv_stage0_block0_branch2a"
+}
+layer {
+ name: "conv_stage0_block0_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage0_block0_branch2a"
+ top: "conv_stage0_block0_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 32
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block0_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block0_branch2b"
+ top: "conv_stage0_block0_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block0_branch2b"
+ type: "Scale"
+ bottom: "conv_stage0_block0_branch2b"
+ top: "conv_stage0_block0_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage0_block0_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage0_block0_branch2b"
+ top: "conv_stage0_block0_branch2b"
+}
+layer {
+ name: "conv_stage0_block0_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage0_block0_branch2b"
+ top: "conv_stage0_block0_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block0_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block0_branch2c"
+ top: "conv_stage0_block0_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block0_branch2c"
+ type: "Scale"
+ bottom: "conv_stage0_block0_branch2c"
+ top: "conv_stage0_block0_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage0_block0"
+ type: "Eltwise"
+ bottom: "conv_stage0_block0_proj_shortcut"
+ bottom: "conv_stage0_block0_branch2c"
+ top: "eltwise_stage0_block0"
+}
+layer {
+ name: "relu_stage0_block0"
+ type: "ReLU"
+ bottom: "eltwise_stage0_block0"
+ top: "eltwise_stage0_block0"
+}
+layer {
+ name: "conv_stage0_block1_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage0_block0"
+ top: "conv_stage0_block1_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 32
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block1_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block1_branch2a"
+ top: "conv_stage0_block1_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block1_branch2a"
+ type: "Scale"
+ bottom: "conv_stage0_block1_branch2a"
+ top: "conv_stage0_block1_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage0_block1_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage0_block1_branch2a"
+ top: "conv_stage0_block1_branch2a"
+}
+layer {
+ name: "conv_stage0_block1_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage0_block1_branch2a"
+ top: "conv_stage0_block1_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 32
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block1_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block1_branch2b"
+ top: "conv_stage0_block1_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block1_branch2b"
+ type: "Scale"
+ bottom: "conv_stage0_block1_branch2b"
+ top: "conv_stage0_block1_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage0_block1_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage0_block1_branch2b"
+ top: "conv_stage0_block1_branch2b"
+}
+layer {
+ name: "conv_stage0_block1_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage0_block1_branch2b"
+ top: "conv_stage0_block1_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block1_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block1_branch2c"
+ top: "conv_stage0_block1_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block1_branch2c"
+ type: "Scale"
+ bottom: "conv_stage0_block1_branch2c"
+ top: "conv_stage0_block1_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage0_block1"
+ type: "Eltwise"
+ bottom: "eltwise_stage0_block0"
+ bottom: "conv_stage0_block1_branch2c"
+ top: "eltwise_stage0_block1"
+}
+layer {
+ name: "relu_stage0_block1"
+ type: "ReLU"
+ bottom: "eltwise_stage0_block1"
+ top: "eltwise_stage0_block1"
+}
+layer {
+ name: "conv_stage0_block2_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage0_block1"
+ top: "conv_stage0_block2_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 32
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block2_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block2_branch2a"
+ top: "conv_stage0_block2_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block2_branch2a"
+ type: "Scale"
+ bottom: "conv_stage0_block2_branch2a"
+ top: "conv_stage0_block2_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage0_block2_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage0_block2_branch2a"
+ top: "conv_stage0_block2_branch2a"
+}
+layer {
+ name: "conv_stage0_block2_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage0_block2_branch2a"
+ top: "conv_stage0_block2_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 32
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block2_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block2_branch2b"
+ top: "conv_stage0_block2_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block2_branch2b"
+ type: "Scale"
+ bottom: "conv_stage0_block2_branch2b"
+ top: "conv_stage0_block2_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage0_block2_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage0_block2_branch2b"
+ top: "conv_stage0_block2_branch2b"
+}
+layer {
+ name: "conv_stage0_block2_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage0_block2_branch2b"
+ top: "conv_stage0_block2_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage0_block2_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage0_block2_branch2c"
+ top: "conv_stage0_block2_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage0_block2_branch2c"
+ type: "Scale"
+ bottom: "conv_stage0_block2_branch2c"
+ top: "conv_stage0_block2_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage0_block2"
+ type: "Eltwise"
+ bottom: "eltwise_stage0_block1"
+ bottom: "conv_stage0_block2_branch2c"
+ top: "eltwise_stage0_block2"
+}
+layer {
+ name: "relu_stage0_block2"
+ type: "ReLU"
+ bottom: "eltwise_stage0_block2"
+ top: "eltwise_stage0_block2"
+}
+layer {
+ name: "conv_stage1_block0_proj_shortcut"
+ type: "Convolution"
+ bottom: "eltwise_stage0_block2"
+ top: "conv_stage1_block0_proj_shortcut"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 0
+ kernel_size: 1
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block0_proj_shortcut"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block0_proj_shortcut"
+ top: "conv_stage1_block0_proj_shortcut"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block0_proj_shortcut"
+ type: "Scale"
+ bottom: "conv_stage1_block0_proj_shortcut"
+ top: "conv_stage1_block0_proj_shortcut"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "conv_stage1_block0_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage0_block2"
+ top: "conv_stage1_block0_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 0
+ kernel_size: 1
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block0_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block0_branch2a"
+ top: "conv_stage1_block0_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block0_branch2a"
+ type: "Scale"
+ bottom: "conv_stage1_block0_branch2a"
+ top: "conv_stage1_block0_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage1_block0_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage1_block0_branch2a"
+ top: "conv_stage1_block0_branch2a"
+}
+layer {
+ name: "conv_stage1_block0_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage1_block0_branch2a"
+ top: "conv_stage1_block0_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block0_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block0_branch2b"
+ top: "conv_stage1_block0_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block0_branch2b"
+ type: "Scale"
+ bottom: "conv_stage1_block0_branch2b"
+ top: "conv_stage1_block0_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage1_block0_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage1_block0_branch2b"
+ top: "conv_stage1_block0_branch2b"
+}
+layer {
+ name: "conv_stage1_block0_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage1_block0_branch2b"
+ top: "conv_stage1_block0_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block0_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block0_branch2c"
+ top: "conv_stage1_block0_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block0_branch2c"
+ type: "Scale"
+ bottom: "conv_stage1_block0_branch2c"
+ top: "conv_stage1_block0_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage1_block0"
+ type: "Eltwise"
+ bottom: "conv_stage1_block0_proj_shortcut"
+ bottom: "conv_stage1_block0_branch2c"
+ top: "eltwise_stage1_block0"
+}
+layer {
+ name: "relu_stage1_block0"
+ type: "ReLU"
+ bottom: "eltwise_stage1_block0"
+ top: "eltwise_stage1_block0"
+}
+layer {
+ name: "conv_stage1_block1_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage1_block0"
+ top: "conv_stage1_block1_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block1_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block1_branch2a"
+ top: "conv_stage1_block1_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block1_branch2a"
+ type: "Scale"
+ bottom: "conv_stage1_block1_branch2a"
+ top: "conv_stage1_block1_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage1_block1_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage1_block1_branch2a"
+ top: "conv_stage1_block1_branch2a"
+}
+layer {
+ name: "conv_stage1_block1_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage1_block1_branch2a"
+ top: "conv_stage1_block1_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block1_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block1_branch2b"
+ top: "conv_stage1_block1_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block1_branch2b"
+ type: "Scale"
+ bottom: "conv_stage1_block1_branch2b"
+ top: "conv_stage1_block1_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage1_block1_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage1_block1_branch2b"
+ top: "conv_stage1_block1_branch2b"
+}
+layer {
+ name: "conv_stage1_block1_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage1_block1_branch2b"
+ top: "conv_stage1_block1_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block1_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block1_branch2c"
+ top: "conv_stage1_block1_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block1_branch2c"
+ type: "Scale"
+ bottom: "conv_stage1_block1_branch2c"
+ top: "conv_stage1_block1_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage1_block1"
+ type: "Eltwise"
+ bottom: "eltwise_stage1_block0"
+ bottom: "conv_stage1_block1_branch2c"
+ top: "eltwise_stage1_block1"
+}
+layer {
+ name: "relu_stage1_block1"
+ type: "ReLU"
+ bottom: "eltwise_stage1_block1"
+ top: "eltwise_stage1_block1"
+}
+layer {
+ name: "conv_stage1_block2_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage1_block1"
+ top: "conv_stage1_block2_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block2_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block2_branch2a"
+ top: "conv_stage1_block2_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block2_branch2a"
+ type: "Scale"
+ bottom: "conv_stage1_block2_branch2a"
+ top: "conv_stage1_block2_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage1_block2_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage1_block2_branch2a"
+ top: "conv_stage1_block2_branch2a"
+}
+layer {
+ name: "conv_stage1_block2_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage1_block2_branch2a"
+ top: "conv_stage1_block2_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block2_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block2_branch2b"
+ top: "conv_stage1_block2_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block2_branch2b"
+ type: "Scale"
+ bottom: "conv_stage1_block2_branch2b"
+ top: "conv_stage1_block2_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage1_block2_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage1_block2_branch2b"
+ top: "conv_stage1_block2_branch2b"
+}
+layer {
+ name: "conv_stage1_block2_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage1_block2_branch2b"
+ top: "conv_stage1_block2_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block2_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block2_branch2c"
+ top: "conv_stage1_block2_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block2_branch2c"
+ type: "Scale"
+ bottom: "conv_stage1_block2_branch2c"
+ top: "conv_stage1_block2_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage1_block2"
+ type: "Eltwise"
+ bottom: "eltwise_stage1_block1"
+ bottom: "conv_stage1_block2_branch2c"
+ top: "eltwise_stage1_block2"
+}
+layer {
+ name: "relu_stage1_block2"
+ type: "ReLU"
+ bottom: "eltwise_stage1_block2"
+ top: "eltwise_stage1_block2"
+}
+layer {
+ name: "conv_stage1_block3_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage1_block2"
+ top: "conv_stage1_block3_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block3_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block3_branch2a"
+ top: "conv_stage1_block3_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block3_branch2a"
+ type: "Scale"
+ bottom: "conv_stage1_block3_branch2a"
+ top: "conv_stage1_block3_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage1_block3_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage1_block3_branch2a"
+ top: "conv_stage1_block3_branch2a"
+}
+layer {
+ name: "conv_stage1_block3_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage1_block3_branch2a"
+ top: "conv_stage1_block3_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block3_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block3_branch2b"
+ top: "conv_stage1_block3_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block3_branch2b"
+ type: "Scale"
+ bottom: "conv_stage1_block3_branch2b"
+ top: "conv_stage1_block3_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage1_block3_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage1_block3_branch2b"
+ top: "conv_stage1_block3_branch2b"
+}
+layer {
+ name: "conv_stage1_block3_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage1_block3_branch2b"
+ top: "conv_stage1_block3_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage1_block3_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage1_block3_branch2c"
+ top: "conv_stage1_block3_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage1_block3_branch2c"
+ type: "Scale"
+ bottom: "conv_stage1_block3_branch2c"
+ top: "conv_stage1_block3_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage1_block3"
+ type: "Eltwise"
+ bottom: "eltwise_stage1_block2"
+ bottom: "conv_stage1_block3_branch2c"
+ top: "eltwise_stage1_block3"
+}
+layer {
+ name: "relu_stage1_block3"
+ type: "ReLU"
+ bottom: "eltwise_stage1_block3"
+ top: "eltwise_stage1_block3"
+}
+layer {
+ name: "conv_stage2_block0_proj_shortcut"
+ type: "Convolution"
+ bottom: "eltwise_stage1_block3"
+ top: "conv_stage2_block0_proj_shortcut"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 512
+ pad: 0
+ kernel_size: 1
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block0_proj_shortcut"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block0_proj_shortcut"
+ top: "conv_stage2_block0_proj_shortcut"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block0_proj_shortcut"
+ type: "Scale"
+ bottom: "conv_stage2_block0_proj_shortcut"
+ top: "conv_stage2_block0_proj_shortcut"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "conv_stage2_block0_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage1_block3"
+ top: "conv_stage2_block0_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block0_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block0_branch2a"
+ top: "conv_stage2_block0_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block0_branch2a"
+ type: "Scale"
+ bottom: "conv_stage2_block0_branch2a"
+ top: "conv_stage2_block0_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block0_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage2_block0_branch2a"
+ top: "conv_stage2_block0_branch2a"
+}
+layer {
+ name: "conv_stage2_block0_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage2_block0_branch2a"
+ top: "conv_stage2_block0_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block0_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block0_branch2b"
+ top: "conv_stage2_block0_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block0_branch2b"
+ type: "Scale"
+ bottom: "conv_stage2_block0_branch2b"
+ top: "conv_stage2_block0_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block0_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage2_block0_branch2b"
+ top: "conv_stage2_block0_branch2b"
+}
+layer {
+ name: "conv_stage2_block0_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage2_block0_branch2b"
+ top: "conv_stage2_block0_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 512
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block0_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block0_branch2c"
+ top: "conv_stage2_block0_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block0_branch2c"
+ type: "Scale"
+ bottom: "conv_stage2_block0_branch2c"
+ top: "conv_stage2_block0_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage2_block0"
+ type: "Eltwise"
+ bottom: "conv_stage2_block0_proj_shortcut"
+ bottom: "conv_stage2_block0_branch2c"
+ top: "eltwise_stage2_block0"
+}
+layer {
+ name: "relu_stage2_block0"
+ type: "ReLU"
+ bottom: "eltwise_stage2_block0"
+ top: "eltwise_stage2_block0"
+}
+layer {
+ name: "conv_stage2_block1_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage2_block0"
+ top: "conv_stage2_block1_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block1_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block1_branch2a"
+ top: "conv_stage2_block1_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block1_branch2a"
+ type: "Scale"
+ bottom: "conv_stage2_block1_branch2a"
+ top: "conv_stage2_block1_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block1_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage2_block1_branch2a"
+ top: "conv_stage2_block1_branch2a"
+}
+layer {
+ name: "conv_stage2_block1_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage2_block1_branch2a"
+ top: "conv_stage2_block1_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block1_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block1_branch2b"
+ top: "conv_stage2_block1_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block1_branch2b"
+ type: "Scale"
+ bottom: "conv_stage2_block1_branch2b"
+ top: "conv_stage2_block1_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block1_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage2_block1_branch2b"
+ top: "conv_stage2_block1_branch2b"
+}
+layer {
+ name: "conv_stage2_block1_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage2_block1_branch2b"
+ top: "conv_stage2_block1_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 512
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block1_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block1_branch2c"
+ top: "conv_stage2_block1_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block1_branch2c"
+ type: "Scale"
+ bottom: "conv_stage2_block1_branch2c"
+ top: "conv_stage2_block1_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage2_block1"
+ type: "Eltwise"
+ bottom: "eltwise_stage2_block0"
+ bottom: "conv_stage2_block1_branch2c"
+ top: "eltwise_stage2_block1"
+}
+layer {
+ name: "relu_stage2_block1"
+ type: "ReLU"
+ bottom: "eltwise_stage2_block1"
+ top: "eltwise_stage2_block1"
+}
+layer {
+ name: "conv_stage2_block2_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage2_block1"
+ top: "conv_stage2_block2_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block2_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block2_branch2a"
+ top: "conv_stage2_block2_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block2_branch2a"
+ type: "Scale"
+ bottom: "conv_stage2_block2_branch2a"
+ top: "conv_stage2_block2_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block2_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage2_block2_branch2a"
+ top: "conv_stage2_block2_branch2a"
+}
+layer {
+ name: "conv_stage2_block2_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage2_block2_branch2a"
+ top: "conv_stage2_block2_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block2_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block2_branch2b"
+ top: "conv_stage2_block2_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block2_branch2b"
+ type: "Scale"
+ bottom: "conv_stage2_block2_branch2b"
+ top: "conv_stage2_block2_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block2_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage2_block2_branch2b"
+ top: "conv_stage2_block2_branch2b"
+}
+layer {
+ name: "conv_stage2_block2_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage2_block2_branch2b"
+ top: "conv_stage2_block2_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 512
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block2_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block2_branch2c"
+ top: "conv_stage2_block2_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block2_branch2c"
+ type: "Scale"
+ bottom: "conv_stage2_block2_branch2c"
+ top: "conv_stage2_block2_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage2_block2"
+ type: "Eltwise"
+ bottom: "eltwise_stage2_block1"
+ bottom: "conv_stage2_block2_branch2c"
+ top: "eltwise_stage2_block2"
+}
+layer {
+ name: "relu_stage2_block2"
+ type: "ReLU"
+ bottom: "eltwise_stage2_block2"
+ top: "eltwise_stage2_block2"
+}
+layer {
+ name: "conv_stage2_block3_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage2_block2"
+ top: "conv_stage2_block3_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block3_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block3_branch2a"
+ top: "conv_stage2_block3_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block3_branch2a"
+ type: "Scale"
+ bottom: "conv_stage2_block3_branch2a"
+ top: "conv_stage2_block3_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block3_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage2_block3_branch2a"
+ top: "conv_stage2_block3_branch2a"
+}
+layer {
+ name: "conv_stage2_block3_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage2_block3_branch2a"
+ top: "conv_stage2_block3_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block3_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block3_branch2b"
+ top: "conv_stage2_block3_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block3_branch2b"
+ type: "Scale"
+ bottom: "conv_stage2_block3_branch2b"
+ top: "conv_stage2_block3_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block3_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage2_block3_branch2b"
+ top: "conv_stage2_block3_branch2b"
+}
+layer {
+ name: "conv_stage2_block3_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage2_block3_branch2b"
+ top: "conv_stage2_block3_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 512
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block3_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block3_branch2c"
+ top: "conv_stage2_block3_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block3_branch2c"
+ type: "Scale"
+ bottom: "conv_stage2_block3_branch2c"
+ top: "conv_stage2_block3_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage2_block3"
+ type: "Eltwise"
+ bottom: "eltwise_stage2_block2"
+ bottom: "conv_stage2_block3_branch2c"
+ top: "eltwise_stage2_block3"
+}
+layer {
+ name: "relu_stage2_block3"
+ type: "ReLU"
+ bottom: "eltwise_stage2_block3"
+ top: "eltwise_stage2_block3"
+}
+layer {
+ name: "conv_stage2_block4_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage2_block3"
+ top: "conv_stage2_block4_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block4_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block4_branch2a"
+ top: "conv_stage2_block4_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block4_branch2a"
+ type: "Scale"
+ bottom: "conv_stage2_block4_branch2a"
+ top: "conv_stage2_block4_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block4_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage2_block4_branch2a"
+ top: "conv_stage2_block4_branch2a"
+}
+layer {
+ name: "conv_stage2_block4_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage2_block4_branch2a"
+ top: "conv_stage2_block4_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block4_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block4_branch2b"
+ top: "conv_stage2_block4_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block4_branch2b"
+ type: "Scale"
+ bottom: "conv_stage2_block4_branch2b"
+ top: "conv_stage2_block4_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block4_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage2_block4_branch2b"
+ top: "conv_stage2_block4_branch2b"
+}
+layer {
+ name: "conv_stage2_block4_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage2_block4_branch2b"
+ top: "conv_stage2_block4_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 512
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block4_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block4_branch2c"
+ top: "conv_stage2_block4_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block4_branch2c"
+ type: "Scale"
+ bottom: "conv_stage2_block4_branch2c"
+ top: "conv_stage2_block4_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage2_block4"
+ type: "Eltwise"
+ bottom: "eltwise_stage2_block3"
+ bottom: "conv_stage2_block4_branch2c"
+ top: "eltwise_stage2_block4"
+}
+layer {
+ name: "relu_stage2_block4"
+ type: "ReLU"
+ bottom: "eltwise_stage2_block4"
+ top: "eltwise_stage2_block4"
+}
+layer {
+ name: "conv_stage2_block5_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage2_block4"
+ top: "conv_stage2_block5_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block5_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block5_branch2a"
+ top: "conv_stage2_block5_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block5_branch2a"
+ type: "Scale"
+ bottom: "conv_stage2_block5_branch2a"
+ top: "conv_stage2_block5_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block5_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage2_block5_branch2a"
+ top: "conv_stage2_block5_branch2a"
+}
+layer {
+ name: "conv_stage2_block5_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage2_block5_branch2a"
+ top: "conv_stage2_block5_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block5_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block5_branch2b"
+ top: "conv_stage2_block5_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block5_branch2b"
+ type: "Scale"
+ bottom: "conv_stage2_block5_branch2b"
+ top: "conv_stage2_block5_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage2_block5_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage2_block5_branch2b"
+ top: "conv_stage2_block5_branch2b"
+}
+layer {
+ name: "conv_stage2_block5_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage2_block5_branch2b"
+ top: "conv_stage2_block5_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 512
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage2_block5_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage2_block5_branch2c"
+ top: "conv_stage2_block5_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage2_block5_branch2c"
+ type: "Scale"
+ bottom: "conv_stage2_block5_branch2c"
+ top: "conv_stage2_block5_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage2_block5"
+ type: "Eltwise"
+ bottom: "eltwise_stage2_block4"
+ bottom: "conv_stage2_block5_branch2c"
+ top: "eltwise_stage2_block5"
+}
+layer {
+ name: "relu_stage2_block5"
+ type: "ReLU"
+ bottom: "eltwise_stage2_block5"
+ top: "eltwise_stage2_block5"
+}
+layer {
+ name: "conv_stage3_block0_proj_shortcut"
+ type: "Convolution"
+ bottom: "eltwise_stage2_block5"
+ top: "conv_stage3_block0_proj_shortcut"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 1024
+ pad: 0
+ kernel_size: 1
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block0_proj_shortcut"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block0_proj_shortcut"
+ top: "conv_stage3_block0_proj_shortcut"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block0_proj_shortcut"
+ type: "Scale"
+ bottom: "conv_stage3_block0_proj_shortcut"
+ top: "conv_stage3_block0_proj_shortcut"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "conv_stage3_block0_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage2_block5"
+ top: "conv_stage3_block0_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 0
+ kernel_size: 1
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block0_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block0_branch2a"
+ top: "conv_stage3_block0_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block0_branch2a"
+ type: "Scale"
+ bottom: "conv_stage3_block0_branch2a"
+ top: "conv_stage3_block0_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage3_block0_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage3_block0_branch2a"
+ top: "conv_stage3_block0_branch2a"
+}
+layer {
+ name: "conv_stage3_block0_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage3_block0_branch2a"
+ top: "conv_stage3_block0_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block0_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block0_branch2b"
+ top: "conv_stage3_block0_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block0_branch2b"
+ type: "Scale"
+ bottom: "conv_stage3_block0_branch2b"
+ top: "conv_stage3_block0_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage3_block0_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage3_block0_branch2b"
+ top: "conv_stage3_block0_branch2b"
+}
+layer {
+ name: "conv_stage3_block0_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage3_block0_branch2b"
+ top: "conv_stage3_block0_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 1024
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block0_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block0_branch2c"
+ top: "conv_stage3_block0_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block0_branch2c"
+ type: "Scale"
+ bottom: "conv_stage3_block0_branch2c"
+ top: "conv_stage3_block0_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage3_block0"
+ type: "Eltwise"
+ bottom: "conv_stage3_block0_proj_shortcut"
+ bottom: "conv_stage3_block0_branch2c"
+ top: "eltwise_stage3_block0"
+}
+layer {
+ name: "relu_stage3_block0"
+ type: "ReLU"
+ bottom: "eltwise_stage3_block0"
+ top: "eltwise_stage3_block0"
+}
+layer {
+ name: "conv_stage3_block1_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage3_block0"
+ top: "conv_stage3_block1_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block1_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block1_branch2a"
+ top: "conv_stage3_block1_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block1_branch2a"
+ type: "Scale"
+ bottom: "conv_stage3_block1_branch2a"
+ top: "conv_stage3_block1_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage3_block1_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage3_block1_branch2a"
+ top: "conv_stage3_block1_branch2a"
+}
+layer {
+ name: "conv_stage3_block1_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage3_block1_branch2a"
+ top: "conv_stage3_block1_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block1_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block1_branch2b"
+ top: "conv_stage3_block1_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block1_branch2b"
+ type: "Scale"
+ bottom: "conv_stage3_block1_branch2b"
+ top: "conv_stage3_block1_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage3_block1_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage3_block1_branch2b"
+ top: "conv_stage3_block1_branch2b"
+}
+layer {
+ name: "conv_stage3_block1_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage3_block1_branch2b"
+ top: "conv_stage3_block1_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 1024
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block1_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block1_branch2c"
+ top: "conv_stage3_block1_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block1_branch2c"
+ type: "Scale"
+ bottom: "conv_stage3_block1_branch2c"
+ top: "conv_stage3_block1_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage3_block1"
+ type: "Eltwise"
+ bottom: "eltwise_stage3_block0"
+ bottom: "conv_stage3_block1_branch2c"
+ top: "eltwise_stage3_block1"
+}
+layer {
+ name: "relu_stage3_block1"
+ type: "ReLU"
+ bottom: "eltwise_stage3_block1"
+ top: "eltwise_stage3_block1"
+}
+layer {
+ name: "conv_stage3_block2_branch2a"
+ type: "Convolution"
+ bottom: "eltwise_stage3_block1"
+ top: "conv_stage3_block2_branch2a"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block2_branch2a"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block2_branch2a"
+ top: "conv_stage3_block2_branch2a"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block2_branch2a"
+ type: "Scale"
+ bottom: "conv_stage3_block2_branch2a"
+ top: "conv_stage3_block2_branch2a"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage3_block2_branch2a"
+ type: "ReLU"
+ bottom: "conv_stage3_block2_branch2a"
+ top: "conv_stage3_block2_branch2a"
+}
+layer {
+ name: "conv_stage3_block2_branch2b"
+ type: "Convolution"
+ bottom: "conv_stage3_block2_branch2a"
+ top: "conv_stage3_block2_branch2b"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block2_branch2b"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block2_branch2b"
+ top: "conv_stage3_block2_branch2b"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block2_branch2b"
+ type: "Scale"
+ bottom: "conv_stage3_block2_branch2b"
+ top: "conv_stage3_block2_branch2b"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "relu_stage3_block2_branch2b"
+ type: "ReLU"
+ bottom: "conv_stage3_block2_branch2b"
+ top: "conv_stage3_block2_branch2b"
+}
+layer {
+ name: "conv_stage3_block2_branch2c"
+ type: "Convolution"
+ bottom: "conv_stage3_block2_branch2b"
+ top: "conv_stage3_block2_branch2c"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 1024
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "bn_stage3_block2_branch2c"
+ type: "BatchNorm"
+ bottom: "conv_stage3_block2_branch2c"
+ top: "conv_stage3_block2_branch2c"
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ param {
+ lr_mult: 0
+ decay_mult: 0
+ }
+ batch_norm_param {
+ use_global_stats: true
+ }
+}
+layer {
+ name: "scale_stage3_block2_branch2c"
+ type: "Scale"
+ bottom: "conv_stage3_block2_branch2c"
+ top: "conv_stage3_block2_branch2c"
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "eltwise_stage3_block2"
+ type: "Eltwise"
+ bottom: "eltwise_stage3_block1"
+ bottom: "conv_stage3_block2_branch2c"
+ top: "eltwise_stage3_block2"
+}
+layer {
+ name: "relu_stage3_block2"
+ type: "ReLU"
+ bottom: "eltwise_stage3_block2"
+ top: "eltwise_stage3_block2"
+}
+layer {
+ name: "pool"
+ type: "Pooling"
+ bottom: "eltwise_stage3_block2"
+ top: "pool"
+ pooling_param {
+ pool: AVE
+ kernel_size: 7
+ stride: 1
+ }
+}
+layer {
+ name: "fc_nsfw"
+ type: "InnerProduct"
+ bottom: "pool"
+ top: "fc_nsfw"
+ param {
+ lr_mult: 5
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 10
+ decay_mult: 0
+ }
+ inner_product_param{
+ num_output: 2
+ weight_filler {
+ type: "xavier"
+ std: 0.01
+ }
+ bias_filler {
+ type: "xavier"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "prob"
+ type: "Softmax"
+ bottom: "fc_nsfw"
+ top: "prob"
+}
+