diff --git a/models/intel_optimized_models/multinode/resnet50_4nodes_4s/README b/models/intel_optimized_models/multinode/resnet50_4nodes_4s/README
new file mode 100644
index 000000000..9f6e4adbc
--- /dev/null
+++ b/models/intel_optimized_models/multinode/resnet50_4nodes_4s/README
@@ -0,0 +1 @@
+-ppn 8
diff --git a/models/intel_optimized_models/multinode/resnet50_4nodes_4s/solver.prototxt b/models/intel_optimized_models/multinode/resnet50_4nodes_4s/solver.prototxt
new file mode 100644
index 000000000..fbda5aa02
--- /dev/null
+++ b/models/intel_optimized_models/multinode/resnet50_4nodes_4s/solver.prototxt
@@ -0,0 +1,20 @@
+net: "models/intel_optimized_models/mlperf_2018/resnet50_4nodes_4s/train_val.prototxt"
+test_iter: 1000
+test_interval: 1251
+test_initialization: false
+display: 60
+base_lr: 0.4
+lr_policy: "multistep"
+stepvalue:37530 # 30 epochs
+stepvalue:75060 # 60 epochs
+stepvalue:100080 # 80 epochs
+gamma: 0.1
+max_iter: 81315 # 65 epochs
+warmup_iter: 5004 # 1281167 / 1024 * 4 epochs
+warmup_start_lr: 0.1
+momentum: 0.9
+weight_decay: 0.0001
+snapshot: 1251 # 1 epoch
+snapshot_prefix: "resnet50_4nodes_4s_run1"
+solver_mode: CPU
+test_offset: 0
diff --git a/models/intel_optimized_models/multinode/resnet50_4nodes_4s/train_val.prototxt b/models/intel_optimized_models/multinode/resnet50_4nodes_4s/train_val.prototxt
new file mode 100644
index 000000000..6f58b4b56
--- /dev/null
+++ b/models/intel_optimized_models/multinode/resnet50_4nodes_4s/train_val.prototxt
@@ -0,0 +1,3316 @@
+name: "ResNet-50"
+layer {
+  name: "data"
+  type: "Data"
+  top: "data"
+  top: "label"
+  include {
+    phase: TRAIN
+  }
+  transform_param {
+    mirror: true
+    crop_size: 224
+    mean_value: 103.94
+    mean_value: 116.78
+    mean_value: 123.68
+    random_aspect_ratio_param {
+      min_area_ratio: 0.05
+      max_area_ratio: 1
+      aspect_ratio_change: 0.75
+      max_attempt: 100
+      resize_param {
+        interp_mode: LINEAR
+      }
+    }
+  }
+  data_param {
+    source: "examples/imagenet/ilsvrc12_train_lmdb"
+    batch_size: 32 
+    backend: LMDB
+    prefetch: 2
+    shuffle: true
+  }
+}
+layer {
+  name: "data"
+  type: "Data"
+  top: "data"
+  top: "label"
+  include {
+    phase: TEST
+  }
+  transform_param {
+    mirror: false
+    crop_size: 224
+    mean_value: 103.94
+    mean_value: 116.78
+    mean_value: 123.68
+    random_resize_param {
+      min_size: 256
+      max_size: 256
+      resize_param {
+        interp_mode: LINEAR
+      }
+    }
+  }
+  data_param {
+    source: "examples/imagenet/ilsvrc12_val_lmdb"
+    batch_size: 50
+    backend: LMDB
+  }
+}
+
+layer {
+  bottom: "data"
+  top: "conv1"
+  name: "conv1"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 7
+    pad: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+      variance_norm: FAN_IN
+    }
+  }
+}
+
+layer {
+  bottom: "conv1"
+  top: "conv1"
+  name: "bn_conv1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "conv1"
+  top: "conv1"
+  name: "scale_conv1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "conv1"
+  top: "conv1"
+  name: "conv1_relu"
+  type: "ReLU"
+  relu_param {
+  }
+}
+
+layer {
+  bottom: "conv1"
+  top: "pool1"
+  name: "pool1"
+  type: "Pooling"
+  pooling_param {
+    kernel_size: 3
+    stride: 2
+    pool: MAX
+  }
+}
+
+layer {
+  bottom: "pool1"
+  top: "res2a_branch1"
+  name: "res2a_branch1"
+  type: "Convolution"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2a_branch1"
+  top: "res2a_branch1"
+  name: "bn2a_branch1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2a_branch1"
+  top: "res2a_branch1"
+  name: "scale2a_branch1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "pool1"
+  top: "res2a_branch2a"
+  name: "res2a_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 64
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2a"
+  top: "res2a_branch2a"
+  name: "bn2a_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2a"
+  top: "res2a_branch2a"
+  name: "scale2a_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2a_branch2a"
+  top: "res2a_branch2a"
+  name: "res2a_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2a_branch2a"
+  top: "res2a_branch2b"
+  name: "res2a_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2b"
+  top: "res2a_branch2b"
+  name: "bn2a_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2b"
+  top: "res2a_branch2b"
+  name: "scale2a_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2a_branch2b"
+  top: "res2a_branch2b"
+  name: "res2a_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2a_branch2b"
+  top: "res2a_branch2c"
+  name: "res2a_branch2c"
+  type: "Convolution"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2c"
+  top: "res2a_branch2c"
+  name: "bn2a_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2c"
+  top: "res2a_branch2c"
+  name: "scale2a_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2a_branch1"
+  bottom: "res2a_branch2c"
+  top: "res2a"
+  name: "res2a"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res2a"
+  top: "res2a"
+  name: "res2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2a"
+  top: "res2b_branch2a"
+  name: "res2b_branch2a"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2a"
+  top: "res2b_branch2a"
+  name: "bn2b_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2a"
+  top: "res2b_branch2a"
+  name: "scale2b_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2b_branch2a"
+  top: "res2b_branch2a"
+  name: "res2b_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2b_branch2a"
+  top: "res2b_branch2b"
+  name: "res2b_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2b"
+  top: "res2b_branch2b"
+  name: "bn2b_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2b"
+  top: "res2b_branch2b"
+  name: "scale2b_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2b_branch2b"
+  top: "res2b_branch2b"
+  name: "res2b_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2b_branch2b"
+  top: "res2b_branch2c"
+  name: "res2b_branch2c"
+  type: "Convolution"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2c"
+  top: "res2b_branch2c"
+  name: "bn2b_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2c"
+  top: "res2b_branch2c"
+  name: "scale2b_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2a"
+  bottom: "res2b_branch2c"
+  top: "res2b"
+  name: "res2b"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res2b"
+  top: "res2b"
+  name: "res2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2b"
+  top: "res2c_branch2a"
+  name: "res2c_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 64
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2a"
+  top: "res2c_branch2a"
+  name: "bn2c_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2a"
+  top: "res2c_branch2a"
+  name: "scale2c_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2c_branch2a"
+  top: "res2c_branch2a"
+  name: "res2c_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2c_branch2a"
+  top: "res2c_branch2b"
+  name: "res2c_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2b"
+  top: "res2c_branch2b"
+  name: "bn2c_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2b"
+  top: "res2c_branch2b"
+  name: "scale2c_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2c_branch2b"
+  top: "res2c_branch2b"
+  name: "res2c_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2c_branch2b"
+  top: "res2c_branch2c"
+  name: "res2c_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2c"
+  top: "res2c_branch2c"
+  name: "bn2c_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+  filler { value: 0 }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2c"
+  top: "res2c_branch2c"
+  name: "scale2c_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2b"
+  bottom: "res2c_branch2c"
+  top: "res2c"
+  name: "res2c"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res2c"
+  top: "res2c"
+  name: "res2c_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2c"
+  top: "res3a_branch1"
+  name: "res3a_branch1"
+  type: "Convolution"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3a_branch1"
+  top: "res3a_branch1"
+  name: "bn3a_branch1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3a_branch1"
+  top: "res3a_branch1"
+  name: "scale3a_branch1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2c"
+  top: "res3a_branch2a"
+  name: "res3a_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2a"
+  top: "res3a_branch2a"
+  name: "bn3a_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2a"
+  top: "res3a_branch2a"
+  name: "scale3a_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3a_branch2a"
+  top: "res3a_branch2a"
+  name: "res3a_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3a_branch2a"
+  top: "res3a_branch2b"
+  name: "res3a_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2b"
+  top: "res3a_branch2b"
+  name: "bn3a_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2b"
+  top: "res3a_branch2b"
+  name: "scale3a_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3a_branch2b"
+  top: "res3a_branch2b"
+  name: "res3a_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3a_branch2b"
+  top: "res3a_branch2c"
+  name: "res3a_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2c"
+  top: "res3a_branch2c"
+  name: "bn3a_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2c"
+  top: "res3a_branch2c"
+  name: "scale3a_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3a_branch1"
+  bottom: "res3a_branch2c"
+  top: "res3a"
+  name: "res3a"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res3a"
+  top: "res3a"
+  name: "res3a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3a"
+  top: "res3b_branch2a"
+  name: "res3b_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2a"
+  top: "res3b_branch2a"
+  name: "bn3b_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2a"
+  top: "res3b_branch2a"
+  name: "scale3b_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3b_branch2a"
+  top: "res3b_branch2a"
+  name: "res3b_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3b_branch2a"
+  top: "res3b_branch2b"
+  name: "res3b_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2b"
+  top: "res3b_branch2b"
+  name: "bn3b_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2b"
+  top: "res3b_branch2b"
+  name: "scale3b_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3b_branch2b"
+  top: "res3b_branch2b"
+  name: "res3b_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3b_branch2b"
+  top: "res3b_branch2c"
+  name: "res3b_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2c"
+  top: "res3b_branch2c"
+  name: "bn3b_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2c"
+  top: "res3b_branch2c"
+  name: "scale3b_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3a"
+  bottom: "res3b_branch2c"
+  top: "res3b"
+  name: "res3b"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res3b"
+  top: "res3b"
+  name: "res3b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3b"
+  top: "res3c_branch2a"
+  name: "res3c_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2a"
+  top: "res3c_branch2a"
+  name: "bn3c_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2a"
+  top: "res3c_branch2a"
+  name: "scale3c_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3c_branch2a"
+  top: "res3c_branch2a"
+  name: "res3c_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3c_branch2a"
+  top: "res3c_branch2b"
+  name: "res3c_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2b"
+  top: "res3c_branch2b"
+  name: "bn3c_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2b"
+  top: "res3c_branch2b"
+  name: "scale3c_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3c_branch2b"
+  top: "res3c_branch2b"
+  name: "res3c_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3c_branch2b"
+  top: "res3c_branch2c"
+  name: "res3c_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2c"
+  top: "res3c_branch2c"
+  name: "bn3c_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2c"
+  top: "res3c_branch2c"
+  name: "scale3c_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3b"
+  bottom: "res3c_branch2c"
+  top: "res3c"
+  name: "res3c"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res3c"
+  top: "res3c"
+  name: "res3c_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3c"
+  top: "res3d_branch2a"
+  name: "res3d_branch2a"
+  type: "Convolution"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2a"
+  top: "res3d_branch2a"
+  name: "bn3d_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2a"
+  top: "res3d_branch2a"
+  name: "scale3d_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3d_branch2a"
+  top: "res3d_branch2a"
+  name: "res3d_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3d_branch2a"
+  top: "res3d_branch2b"
+  name: "res3d_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2b"
+  top: "res3d_branch2b"
+  name: "bn3d_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2b"
+  top: "res3d_branch2b"
+  name: "scale3d_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3d_branch2b"
+  top: "res3d_branch2b"
+  name: "res3d_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3d_branch2b"
+  top: "res3d_branch2c"
+  name: "res3d_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2c"
+  top: "res3d_branch2c"
+  name: "bn3d_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+  filler { value: 0 }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2c"
+  top: "res3d_branch2c"
+  name: "scale3d_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3c"
+  bottom: "res3d_branch2c"
+  top: "res3d"
+  name: "res3d"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res3d"
+  top: "res3d"
+  name: "res3d_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3d"
+  top: "res4a_branch1"
+  name: "res4a_branch1"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4a_branch1"
+  top: "res4a_branch1"
+  name: "bn4a_branch1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4a_branch1"
+  top: "res4a_branch1"
+  name: "scale4a_branch1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3d"
+  top: "res4a_branch2a"
+  name: "res4a_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2a"
+  top: "res4a_branch2a"
+  name: "bn4a_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2a"
+  top: "res4a_branch2a"
+  name: "scale4a_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4a_branch2a"
+  top: "res4a_branch2a"
+  name: "res4a_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4a_branch2a"
+  top: "res4a_branch2b"
+  name: "res4a_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2b"
+  top: "res4a_branch2b"
+  name: "bn4a_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2b"
+  top: "res4a_branch2b"
+  name: "scale4a_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4a_branch2b"
+  top: "res4a_branch2b"
+  name: "res4a_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4a_branch2b"
+  top: "res4a_branch2c"
+  name: "res4a_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2c"
+  top: "res4a_branch2c"
+  name: "bn4a_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2c"
+  top: "res4a_branch2c"
+  name: "scale4a_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4a_branch1"
+  bottom: "res4a_branch2c"
+  top: "res4a"
+  name: "res4a"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4a"
+  top: "res4a"
+  name: "res4a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4a"
+  top: "res4b_branch2a"
+  name: "res4b_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2a"
+  top: "res4b_branch2a"
+  name: "bn4b_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2a"
+  top: "res4b_branch2a"
+  name: "scale4b_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4b_branch2a"
+  top: "res4b_branch2a"
+  name: "res4b_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4b_branch2a"
+  top: "res4b_branch2b"
+  name: "res4b_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2b"
+  top: "res4b_branch2b"
+  name: "bn4b_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2b"
+  top: "res4b_branch2b"
+  name: "scale4b_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4b_branch2b"
+  top: "res4b_branch2b"
+  name: "res4b_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4b_branch2b"
+  top: "res4b_branch2c"
+  name: "res4b_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2c"
+  top: "res4b_branch2c"
+  name: "bn4b_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2c"
+  top: "res4b_branch2c"
+  name: "scale4b_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4a"
+  bottom: "res4b_branch2c"
+  top: "res4b"
+  name: "res4b"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4b"
+  top: "res4b"
+  name: "res4b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4b"
+  top: "res4c_branch2a"
+  name: "res4c_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2a"
+  top: "res4c_branch2a"
+  name: "bn4c_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2a"
+  top: "res4c_branch2a"
+  name: "scale4c_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4c_branch2a"
+  top: "res4c_branch2a"
+  name: "res4c_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4c_branch2a"
+  top: "res4c_branch2b"
+  name: "res4c_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2b"
+  top: "res4c_branch2b"
+  name: "bn4c_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2b"
+  top: "res4c_branch2b"
+  name: "scale4c_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4c_branch2b"
+  top: "res4c_branch2b"
+  name: "res4c_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4c_branch2b"
+  top: "res4c_branch2c"
+  name: "res4c_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2c"
+  top: "res4c_branch2c"
+  name: "bn4c_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2c"
+  top: "res4c_branch2c"
+  name: "scale4c_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4b"
+  bottom: "res4c_branch2c"
+  top: "res4c"
+  name: "res4c"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4c"
+  top: "res4c"
+  name: "res4c_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4c"
+  top: "res4d_branch2a"
+  name: "res4d_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2a"
+  top: "res4d_branch2a"
+  name: "bn4d_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2a"
+  top: "res4d_branch2a"
+  name: "scale4d_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4d_branch2a"
+  top: "res4d_branch2a"
+  name: "res4d_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4d_branch2a"
+  top: "res4d_branch2b"
+  name: "res4d_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2b"
+  top: "res4d_branch2b"
+  name: "bn4d_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2b"
+  top: "res4d_branch2b"
+  name: "scale4d_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4d_branch2b"
+  top: "res4d_branch2b"
+  name: "res4d_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4d_branch2b"
+  top: "res4d_branch2c"
+  name: "res4d_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2c"
+  top: "res4d_branch2c"
+  name: "bn4d_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2c"
+  top: "res4d_branch2c"
+  name: "scale4d_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4c"
+  bottom: "res4d_branch2c"
+  top: "res4d"
+  name: "res4d"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4d"
+  top: "res4d"
+  name: "res4d_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4d"
+  top: "res4e_branch2a"
+  name: "res4e_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2a"
+  top: "res4e_branch2a"
+  name: "bn4e_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2a"
+  top: "res4e_branch2a"
+  name: "scale4e_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4e_branch2a"
+  top: "res4e_branch2a"
+  name: "res4e_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4e_branch2a"
+  top: "res4e_branch2b"
+  name: "res4e_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2b"
+  top: "res4e_branch2b"
+  name: "bn4e_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2b"
+  top: "res4e_branch2b"
+  name: "scale4e_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4e_branch2b"
+  top: "res4e_branch2b"
+  name: "res4e_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4e_branch2b"
+  top: "res4e_branch2c"
+  name: "res4e_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2c"
+  top: "res4e_branch2c"
+  name: "bn4e_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2c"
+  top: "res4e_branch2c"
+  name: "scale4e_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4d"
+  bottom: "res4e_branch2c"
+  top: "res4e"
+  name: "res4e"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4e"
+  top: "res4e"
+  name: "res4e_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4e"
+  top: "res4f_branch2a"
+  name: "res4f_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2a"
+  top: "res4f_branch2a"
+  name: "bn4f_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2a"
+  top: "res4f_branch2a"
+  name: "scale4f_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4f_branch2a"
+  top: "res4f_branch2a"
+  name: "res4f_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4f_branch2a"
+  top: "res4f_branch2b"
+  name: "res4f_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2b"
+  top: "res4f_branch2b"
+  name: "bn4f_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2b"
+  top: "res4f_branch2b"
+  name: "scale4f_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4f_branch2b"
+  top: "res4f_branch2b"
+  name: "res4f_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4f_branch2b"
+  top: "res4f_branch2c"
+  name: "res4f_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2c"
+  top: "res4f_branch2c"
+  name: "bn4f_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+  filler { value: 0 }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2c"
+  top: "res4f_branch2c"
+  name: "scale4f_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4e"
+  bottom: "res4f_branch2c"
+  top: "res4f"
+  name: "res4f"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4f"
+  top: "res4f"
+  name: "res4f_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4f"
+  top: "res5a_branch1"
+  name: "res5a_branch1"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 2048
+    kernel_size: 1
+    pad: 0
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5a_branch1"
+  top: "res5a_branch1"
+  name: "bn5a_branch1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5a_branch1"
+  top: "res5a_branch1"
+  name: "scale5a_branch1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4f"
+  top: "res5a_branch2a"
+  name: "res5a_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2a"
+  top: "res5a_branch2a"
+  name: "bn5a_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2a"
+  top: "res5a_branch2a"
+  name: "scale5a_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5a_branch2a"
+  top: "res5a_branch2a"
+  name: "res5a_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5a_branch2a"
+  top: "res5a_branch2b"
+  name: "res5a_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2b"
+  top: "res5a_branch2b"
+  name: "bn5a_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2b"
+  top: "res5a_branch2b"
+  name: "scale5a_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5a_branch2b"
+  top: "res5a_branch2b"
+  name: "res5a_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5a_branch2b"
+  top: "res5a_branch2c"
+  name: "res5a_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 2048
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2c"
+  top: "res5a_branch2c"
+  name: "bn5a_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2c"
+  top: "res5a_branch2c"
+  name: "scale5a_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5a_branch1"
+  bottom: "res5a_branch2c"
+  top: "res5a"
+  name: "res5a"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res5a"
+  top: "res5a"
+  name: "res5a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5a"
+  top: "res5b_branch2a"
+  name: "res5b_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2a"
+  top: "res5b_branch2a"
+  name: "bn5b_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2a"
+  top: "res5b_branch2a"
+  name: "scale5b_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5b_branch2a"
+  top: "res5b_branch2a"
+  name: "res5b_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5b_branch2a"
+  top: "res5b_branch2b"
+  name: "res5b_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2b"
+  top: "res5b_branch2b"
+  name: "bn5b_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2b"
+  top: "res5b_branch2b"
+  name: "scale5b_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5b_branch2b"
+  top: "res5b_branch2b"
+  name: "res5b_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5b_branch2b"
+  top: "res5b_branch2c"
+  name: "res5b_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 2048
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2c"
+  top: "res5b_branch2c"
+  name: "bn5b_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2c"
+  top: "res5b_branch2c"
+  name: "scale5b_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5a"
+  bottom: "res5b_branch2c"
+  top: "res5b"
+  name: "res5b"
+  type: "Eltwise"
+  eltwise_param {
+  }
+}
+
+layer {
+  bottom: "res5b"
+  top: "res5b"
+  name: "res5b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5b"
+  top: "res5c_branch2a"
+  name: "res5c_branch2a"
+  type: "Convolution"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2a"
+  top: "res5c_branch2a"
+  name: "bn5c_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2a"
+  top: "res5c_branch2a"
+  name: "scale5c_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5c_branch2a"
+  top: "res5c_branch2a"
+  name: "res5c_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5c_branch2a"
+  top: "res5c_branch2b"
+  name: "res5c_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2b"
+  top: "res5c_branch2b"
+  name: "bn5c_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2b"
+  top: "res5c_branch2b"
+  name: "scale5c_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5c_branch2b"
+  top: "res5c_branch2b"
+  name: "res5c_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+  }
+}
+
+layer {
+  bottom: "res5c_branch2b"
+  top: "res5c_branch2c"
+  name: "res5c_branch2c"
+  type: "Convolution"
+  convolution_param {
+    num_output: 2048
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2c"
+  top: "res5c_branch2c"
+  name: "bn5c_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+  filler { value: 0 }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2c"
+  top: "res5c_branch2c"
+  name: "scale5c_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5b"
+  bottom: "res5c_branch2c"
+  top: "res5c"
+  name: "res5c"
+  type: "Eltwise"
+  eltwise_param {
+  }
+}
+
+layer {
+  bottom: "res5c"
+  top: "res5c"
+  name: "res5c_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5c"
+  top: "pool5"
+  name: "pool5"
+  type: "Pooling"
+  pooling_param {
+    kernel_size: 7
+    stride: 1
+    pool: AVE
+  }
+}
+
+layer {
+  bottom: "pool5"
+  top: "fc1000"
+  name: "fc1000"
+  type: "InnerProduct"
+  inner_product_param {
+    num_output: 1000
+    weight_filler {
+      type: "xavier"
+      variance_norm: AVERAGE
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "fc1000"
+  bottom: "label"
+  top: "loss"
+  name: "prob"
+  type: "SoftmaxWithLoss"
+}
+layer {
+  name: "loss3/top-1"
+  type: "Accuracy"
+  bottom: "fc1000"
+  bottom: "label"
+  top: "loss3/top-1"
+}
+layer {
+  name: "loss3/top-5"
+  type: "Accuracy"
+  bottom: "fc1000"
+  bottom: "label"
+  top: "loss3/top-5"
+  accuracy_param {
+    top_k: 5
+  }
+}
diff --git a/models/intel_optimized_models/multinode/resnet50_8nodes_2s/README b/models/intel_optimized_models/multinode/resnet50_8nodes_2s/README
new file mode 100644
index 000000000..f3d9970a7
--- /dev/null
+++ b/models/intel_optimized_models/multinode/resnet50_8nodes_2s/README
@@ -0,0 +1 @@
+-ppn 4
diff --git a/models/intel_optimized_models/multinode/resnet50_8nodes_2s/solver.prototxt b/models/intel_optimized_models/multinode/resnet50_8nodes_2s/solver.prototxt
new file mode 100644
index 000000000..499e5d828
--- /dev/null
+++ b/models/intel_optimized_models/multinode/resnet50_8nodes_2s/solver.prototxt
@@ -0,0 +1,20 @@
+net: "models/intel_optimized_models/mlperf_2018/resnet50_8nodes_2s/train_val.prototxt"
+test_iter: 1000
+test_interval: 1251
+test_initialization: false
+display: 60
+base_lr: 0.4
+lr_policy: "multistep"
+stepvalue:37530 # 30 epochs
+stepvalue:75060 # 60 epochs
+stepvalue:100080 # 80 epochs
+gamma: 0.1
+max_iter: 81315 # 65 epochs
+warmup_iter: 5004 # 1281167 / 1024 * 4 epochs
+warmup_start_lr: 0.1
+momentum: 0.9
+weight_decay: 0.0001
+snapshot: 1251 # 1 epoch
+snapshot_prefix: "resnet50_8nodes_2s"
+solver_mode: CPU
+test_offset: 0
diff --git a/models/intel_optimized_models/multinode/resnet50_8nodes_2s/train_val.prototxt b/models/intel_optimized_models/multinode/resnet50_8nodes_2s/train_val.prototxt
new file mode 100644
index 000000000..6f58b4b56
--- /dev/null
+++ b/models/intel_optimized_models/multinode/resnet50_8nodes_2s/train_val.prototxt
@@ -0,0 +1,3316 @@
+name: "ResNet-50"
+layer {
+  name: "data"
+  type: "Data"
+  top: "data"
+  top: "label"
+  include {
+    phase: TRAIN
+  }
+  transform_param {
+    mirror: true
+    crop_size: 224
+    mean_value: 103.94
+    mean_value: 116.78
+    mean_value: 123.68
+    random_aspect_ratio_param {
+      min_area_ratio: 0.05
+      max_area_ratio: 1
+      aspect_ratio_change: 0.75
+      max_attempt: 100
+      resize_param {
+        interp_mode: LINEAR
+      }
+    }
+  }
+  data_param {
+    source: "examples/imagenet/ilsvrc12_train_lmdb"
+    batch_size: 32 
+    backend: LMDB
+    prefetch: 2
+    shuffle: true
+  }
+}
+layer {
+  name: "data"
+  type: "Data"
+  top: "data"
+  top: "label"
+  include {
+    phase: TEST
+  }
+  transform_param {
+    mirror: false
+    crop_size: 224
+    mean_value: 103.94
+    mean_value: 116.78
+    mean_value: 123.68
+    random_resize_param {
+      min_size: 256
+      max_size: 256
+      resize_param {
+        interp_mode: LINEAR
+      }
+    }
+  }
+  data_param {
+    source: "examples/imagenet/ilsvrc12_val_lmdb"
+    batch_size: 50
+    backend: LMDB
+  }
+}
+
+layer {
+  bottom: "data"
+  top: "conv1"
+  name: "conv1"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 7
+    pad: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+      variance_norm: FAN_IN
+    }
+  }
+}
+
+layer {
+  bottom: "conv1"
+  top: "conv1"
+  name: "bn_conv1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "conv1"
+  top: "conv1"
+  name: "scale_conv1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "conv1"
+  top: "conv1"
+  name: "conv1_relu"
+  type: "ReLU"
+  relu_param {
+  }
+}
+
+layer {
+  bottom: "conv1"
+  top: "pool1"
+  name: "pool1"
+  type: "Pooling"
+  pooling_param {
+    kernel_size: 3
+    stride: 2
+    pool: MAX
+  }
+}
+
+layer {
+  bottom: "pool1"
+  top: "res2a_branch1"
+  name: "res2a_branch1"
+  type: "Convolution"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2a_branch1"
+  top: "res2a_branch1"
+  name: "bn2a_branch1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2a_branch1"
+  top: "res2a_branch1"
+  name: "scale2a_branch1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "pool1"
+  top: "res2a_branch2a"
+  name: "res2a_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 64
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2a"
+  top: "res2a_branch2a"
+  name: "bn2a_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2a"
+  top: "res2a_branch2a"
+  name: "scale2a_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2a_branch2a"
+  top: "res2a_branch2a"
+  name: "res2a_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2a_branch2a"
+  top: "res2a_branch2b"
+  name: "res2a_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2b"
+  top: "res2a_branch2b"
+  name: "bn2a_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2b"
+  top: "res2a_branch2b"
+  name: "scale2a_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2a_branch2b"
+  top: "res2a_branch2b"
+  name: "res2a_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2a_branch2b"
+  top: "res2a_branch2c"
+  name: "res2a_branch2c"
+  type: "Convolution"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2c"
+  top: "res2a_branch2c"
+  name: "bn2a_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2a_branch2c"
+  top: "res2a_branch2c"
+  name: "scale2a_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2a_branch1"
+  bottom: "res2a_branch2c"
+  top: "res2a"
+  name: "res2a"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res2a"
+  top: "res2a"
+  name: "res2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2a"
+  top: "res2b_branch2a"
+  name: "res2b_branch2a"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2a"
+  top: "res2b_branch2a"
+  name: "bn2b_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2a"
+  top: "res2b_branch2a"
+  name: "scale2b_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2b_branch2a"
+  top: "res2b_branch2a"
+  name: "res2b_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2b_branch2a"
+  top: "res2b_branch2b"
+  name: "res2b_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2b"
+  top: "res2b_branch2b"
+  name: "bn2b_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2b"
+  top: "res2b_branch2b"
+  name: "scale2b_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2b_branch2b"
+  top: "res2b_branch2b"
+  name: "res2b_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2b_branch2b"
+  top: "res2b_branch2c"
+  name: "res2b_branch2c"
+  type: "Convolution"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2c"
+  top: "res2b_branch2c"
+  name: "bn2b_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2b_branch2c"
+  top: "res2b_branch2c"
+  name: "scale2b_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2a"
+  bottom: "res2b_branch2c"
+  top: "res2b"
+  name: "res2b"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res2b"
+  top: "res2b"
+  name: "res2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2b"
+  top: "res2c_branch2a"
+  name: "res2c_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 64
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2a"
+  top: "res2c_branch2a"
+  name: "bn2c_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2a"
+  top: "res2c_branch2a"
+  name: "scale2c_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2c_branch2a"
+  top: "res2c_branch2a"
+  name: "res2c_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2c_branch2a"
+  top: "res2c_branch2b"
+  name: "res2c_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2b"
+  top: "res2c_branch2b"
+  name: "bn2c_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2b"
+  top: "res2c_branch2b"
+  name: "scale2c_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2c_branch2b"
+  top: "res2c_branch2b"
+  name: "res2c_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2c_branch2b"
+  top: "res2c_branch2c"
+  name: "res2c_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2c"
+  top: "res2c_branch2c"
+  name: "bn2c_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+  filler { value: 0 }
+  }
+}
+
+layer {
+  bottom: "res2c_branch2c"
+  top: "res2c_branch2c"
+  name: "scale2c_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2b"
+  bottom: "res2c_branch2c"
+  top: "res2c"
+  name: "res2c"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res2c"
+  top: "res2c"
+  name: "res2c_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res2c"
+  top: "res3a_branch1"
+  name: "res3a_branch1"
+  type: "Convolution"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3a_branch1"
+  top: "res3a_branch1"
+  name: "bn3a_branch1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3a_branch1"
+  top: "res3a_branch1"
+  name: "scale3a_branch1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res2c"
+  top: "res3a_branch2a"
+  name: "res3a_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2a"
+  top: "res3a_branch2a"
+  name: "bn3a_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2a"
+  top: "res3a_branch2a"
+  name: "scale3a_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3a_branch2a"
+  top: "res3a_branch2a"
+  name: "res3a_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3a_branch2a"
+  top: "res3a_branch2b"
+  name: "res3a_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2b"
+  top: "res3a_branch2b"
+  name: "bn3a_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2b"
+  top: "res3a_branch2b"
+  name: "scale3a_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3a_branch2b"
+  top: "res3a_branch2b"
+  name: "res3a_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3a_branch2b"
+  top: "res3a_branch2c"
+  name: "res3a_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2c"
+  top: "res3a_branch2c"
+  name: "bn3a_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3a_branch2c"
+  top: "res3a_branch2c"
+  name: "scale3a_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3a_branch1"
+  bottom: "res3a_branch2c"
+  top: "res3a"
+  name: "res3a"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res3a"
+  top: "res3a"
+  name: "res3a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3a"
+  top: "res3b_branch2a"
+  name: "res3b_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2a"
+  top: "res3b_branch2a"
+  name: "bn3b_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2a"
+  top: "res3b_branch2a"
+  name: "scale3b_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3b_branch2a"
+  top: "res3b_branch2a"
+  name: "res3b_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3b_branch2a"
+  top: "res3b_branch2b"
+  name: "res3b_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2b"
+  top: "res3b_branch2b"
+  name: "bn3b_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2b"
+  top: "res3b_branch2b"
+  name: "scale3b_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3b_branch2b"
+  top: "res3b_branch2b"
+  name: "res3b_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3b_branch2b"
+  top: "res3b_branch2c"
+  name: "res3b_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2c"
+  top: "res3b_branch2c"
+  name: "bn3b_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3b_branch2c"
+  top: "res3b_branch2c"
+  name: "scale3b_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3a"
+  bottom: "res3b_branch2c"
+  top: "res3b"
+  name: "res3b"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res3b"
+  top: "res3b"
+  name: "res3b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3b"
+  top: "res3c_branch2a"
+  name: "res3c_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2a"
+  top: "res3c_branch2a"
+  name: "bn3c_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2a"
+  top: "res3c_branch2a"
+  name: "scale3c_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3c_branch2a"
+  top: "res3c_branch2a"
+  name: "res3c_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3c_branch2a"
+  top: "res3c_branch2b"
+  name: "res3c_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2b"
+  top: "res3c_branch2b"
+  name: "bn3c_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2b"
+  top: "res3c_branch2b"
+  name: "scale3c_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3c_branch2b"
+  top: "res3c_branch2b"
+  name: "res3c_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3c_branch2b"
+  top: "res3c_branch2c"
+  name: "res3c_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2c"
+  top: "res3c_branch2c"
+  name: "bn3c_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3c_branch2c"
+  top: "res3c_branch2c"
+  name: "scale3c_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3b"
+  bottom: "res3c_branch2c"
+  top: "res3c"
+  name: "res3c"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res3c"
+  top: "res3c"
+  name: "res3c_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3c"
+  top: "res3d_branch2a"
+  name: "res3d_branch2a"
+  type: "Convolution"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2a"
+  top: "res3d_branch2a"
+  name: "bn3d_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2a"
+  top: "res3d_branch2a"
+  name: "scale3d_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3d_branch2a"
+  top: "res3d_branch2a"
+  name: "res3d_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3d_branch2a"
+  top: "res3d_branch2b"
+  name: "res3d_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2b"
+  top: "res3d_branch2b"
+  name: "bn3d_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2b"
+  top: "res3d_branch2b"
+  name: "scale3d_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3d_branch2b"
+  top: "res3d_branch2b"
+  name: "res3d_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3d_branch2b"
+  top: "res3d_branch2c"
+  name: "res3d_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2c"
+  top: "res3d_branch2c"
+  name: "bn3d_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+  filler { value: 0 }
+  }
+}
+
+layer {
+  bottom: "res3d_branch2c"
+  top: "res3d_branch2c"
+  name: "scale3d_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3c"
+  bottom: "res3d_branch2c"
+  top: "res3d"
+  name: "res3d"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res3d"
+  top: "res3d"
+  name: "res3d_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res3d"
+  top: "res4a_branch1"
+  name: "res4a_branch1"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4a_branch1"
+  top: "res4a_branch1"
+  name: "bn4a_branch1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4a_branch1"
+  top: "res4a_branch1"
+  name: "scale4a_branch1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res3d"
+  top: "res4a_branch2a"
+  name: "res4a_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2a"
+  top: "res4a_branch2a"
+  name: "bn4a_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2a"
+  top: "res4a_branch2a"
+  name: "scale4a_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4a_branch2a"
+  top: "res4a_branch2a"
+  name: "res4a_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4a_branch2a"
+  top: "res4a_branch2b"
+  name: "res4a_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2b"
+  top: "res4a_branch2b"
+  name: "bn4a_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2b"
+  top: "res4a_branch2b"
+  name: "scale4a_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4a_branch2b"
+  top: "res4a_branch2b"
+  name: "res4a_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4a_branch2b"
+  top: "res4a_branch2c"
+  name: "res4a_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2c"
+  top: "res4a_branch2c"
+  name: "bn4a_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4a_branch2c"
+  top: "res4a_branch2c"
+  name: "scale4a_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4a_branch1"
+  bottom: "res4a_branch2c"
+  top: "res4a"
+  name: "res4a"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4a"
+  top: "res4a"
+  name: "res4a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4a"
+  top: "res4b_branch2a"
+  name: "res4b_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2a"
+  top: "res4b_branch2a"
+  name: "bn4b_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2a"
+  top: "res4b_branch2a"
+  name: "scale4b_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4b_branch2a"
+  top: "res4b_branch2a"
+  name: "res4b_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4b_branch2a"
+  top: "res4b_branch2b"
+  name: "res4b_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2b"
+  top: "res4b_branch2b"
+  name: "bn4b_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2b"
+  top: "res4b_branch2b"
+  name: "scale4b_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4b_branch2b"
+  top: "res4b_branch2b"
+  name: "res4b_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4b_branch2b"
+  top: "res4b_branch2c"
+  name: "res4b_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2c"
+  top: "res4b_branch2c"
+  name: "bn4b_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4b_branch2c"
+  top: "res4b_branch2c"
+  name: "scale4b_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4a"
+  bottom: "res4b_branch2c"
+  top: "res4b"
+  name: "res4b"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4b"
+  top: "res4b"
+  name: "res4b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4b"
+  top: "res4c_branch2a"
+  name: "res4c_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2a"
+  top: "res4c_branch2a"
+  name: "bn4c_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2a"
+  top: "res4c_branch2a"
+  name: "scale4c_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4c_branch2a"
+  top: "res4c_branch2a"
+  name: "res4c_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4c_branch2a"
+  top: "res4c_branch2b"
+  name: "res4c_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2b"
+  top: "res4c_branch2b"
+  name: "bn4c_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2b"
+  top: "res4c_branch2b"
+  name: "scale4c_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4c_branch2b"
+  top: "res4c_branch2b"
+  name: "res4c_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4c_branch2b"
+  top: "res4c_branch2c"
+  name: "res4c_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2c"
+  top: "res4c_branch2c"
+  name: "bn4c_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4c_branch2c"
+  top: "res4c_branch2c"
+  name: "scale4c_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4b"
+  bottom: "res4c_branch2c"
+  top: "res4c"
+  name: "res4c"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4c"
+  top: "res4c"
+  name: "res4c_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4c"
+  top: "res4d_branch2a"
+  name: "res4d_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2a"
+  top: "res4d_branch2a"
+  name: "bn4d_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2a"
+  top: "res4d_branch2a"
+  name: "scale4d_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4d_branch2a"
+  top: "res4d_branch2a"
+  name: "res4d_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4d_branch2a"
+  top: "res4d_branch2b"
+  name: "res4d_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2b"
+  top: "res4d_branch2b"
+  name: "bn4d_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2b"
+  top: "res4d_branch2b"
+  name: "scale4d_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4d_branch2b"
+  top: "res4d_branch2b"
+  name: "res4d_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4d_branch2b"
+  top: "res4d_branch2c"
+  name: "res4d_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2c"
+  top: "res4d_branch2c"
+  name: "bn4d_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4d_branch2c"
+  top: "res4d_branch2c"
+  name: "scale4d_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4c"
+  bottom: "res4d_branch2c"
+  top: "res4d"
+  name: "res4d"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4d"
+  top: "res4d"
+  name: "res4d_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4d"
+  top: "res4e_branch2a"
+  name: "res4e_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2a"
+  top: "res4e_branch2a"
+  name: "bn4e_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2a"
+  top: "res4e_branch2a"
+  name: "scale4e_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4e_branch2a"
+  top: "res4e_branch2a"
+  name: "res4e_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4e_branch2a"
+  top: "res4e_branch2b"
+  name: "res4e_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2b"
+  top: "res4e_branch2b"
+  name: "bn4e_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2b"
+  top: "res4e_branch2b"
+  name: "scale4e_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4e_branch2b"
+  top: "res4e_branch2b"
+  name: "res4e_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4e_branch2b"
+  top: "res4e_branch2c"
+  name: "res4e_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2c"
+  top: "res4e_branch2c"
+  name: "bn4e_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4e_branch2c"
+  top: "res4e_branch2c"
+  name: "scale4e_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4d"
+  bottom: "res4e_branch2c"
+  top: "res4e"
+  name: "res4e"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4e"
+  top: "res4e"
+  name: "res4e_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4e"
+  top: "res4f_branch2a"
+  name: "res4f_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2a"
+  top: "res4f_branch2a"
+  name: "bn4f_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2a"
+  top: "res4f_branch2a"
+  name: "scale4f_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4f_branch2a"
+  top: "res4f_branch2a"
+  name: "res4f_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4f_branch2a"
+  top: "res4f_branch2b"
+  name: "res4f_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2b"
+  top: "res4f_branch2b"
+  name: "bn4f_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2b"
+  top: "res4f_branch2b"
+  name: "scale4f_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4f_branch2b"
+  top: "res4f_branch2b"
+  name: "res4f_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4f_branch2b"
+  top: "res4f_branch2c"
+  name: "res4f_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 1024
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2c"
+  top: "res4f_branch2c"
+  name: "bn4f_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+  filler { value: 0 }
+  }
+}
+
+layer {
+  bottom: "res4f_branch2c"
+  top: "res4f_branch2c"
+  name: "scale4f_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4e"
+  bottom: "res4f_branch2c"
+  top: "res4f"
+  name: "res4f"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res4f"
+  top: "res4f"
+  name: "res4f_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res4f"
+  top: "res5a_branch1"
+  name: "res5a_branch1"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 2048
+    kernel_size: 1
+    pad: 0
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5a_branch1"
+  top: "res5a_branch1"
+  name: "bn5a_branch1"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5a_branch1"
+  top: "res5a_branch1"
+  name: "scale5a_branch1"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res4f"
+  top: "res5a_branch2a"
+  name: "res5a_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2a"
+  top: "res5a_branch2a"
+  name: "bn5a_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2a"
+  top: "res5a_branch2a"
+  name: "scale5a_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5a_branch2a"
+  top: "res5a_branch2a"
+  name: "res5a_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5a_branch2a"
+  top: "res5a_branch2b"
+  name: "res5a_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    stride: 2
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2b"
+  top: "res5a_branch2b"
+  name: "bn5a_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2b"
+  top: "res5a_branch2b"
+  name: "scale5a_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5a_branch2b"
+  top: "res5a_branch2b"
+  name: "res5a_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5a_branch2b"
+  top: "res5a_branch2c"
+  name: "res5a_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 2048
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2c"
+  top: "res5a_branch2c"
+  name: "bn5a_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5a_branch2c"
+  top: "res5a_branch2c"
+  name: "scale5a_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5a_branch1"
+  bottom: "res5a_branch2c"
+  top: "res5a"
+  name: "res5a"
+  type: "Eltwise"
+  eltwise_param {
+
+  }
+}
+
+layer {
+  bottom: "res5a"
+  top: "res5a"
+  name: "res5a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5a"
+  top: "res5b_branch2a"
+  name: "res5b_branch2a"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2a"
+  top: "res5b_branch2a"
+  name: "bn5b_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2a"
+  top: "res5b_branch2a"
+  name: "scale5b_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5b_branch2a"
+  top: "res5b_branch2a"
+  name: "res5b_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5b_branch2a"
+  top: "res5b_branch2b"
+  name: "res5b_branch2b"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2b"
+  top: "res5b_branch2b"
+  name: "bn5b_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2b"
+  top: "res5b_branch2b"
+  name: "scale5b_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5b_branch2b"
+  top: "res5b_branch2b"
+  name: "res5b_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5b_branch2b"
+  top: "res5b_branch2c"
+  name: "res5b_branch2c"
+  type: "Convolution"
+  convolution_param {
+
+    num_output: 2048
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2c"
+  top: "res5b_branch2c"
+  name: "bn5b_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5b_branch2c"
+  top: "res5b_branch2c"
+  name: "scale5b_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5a"
+  bottom: "res5b_branch2c"
+  top: "res5b"
+  name: "res5b"
+  type: "Eltwise"
+  eltwise_param {
+  }
+}
+
+layer {
+  bottom: "res5b"
+  top: "res5b"
+  name: "res5b_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5b"
+  top: "res5c_branch2a"
+  name: "res5c_branch2a"
+  type: "Convolution"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2a"
+  top: "res5c_branch2a"
+  name: "bn5c_branch2a"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2a"
+  top: "res5c_branch2a"
+  name: "scale5c_branch2a"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5c_branch2a"
+  top: "res5c_branch2a"
+  name: "res5c_branch2a_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5c_branch2a"
+  top: "res5c_branch2b"
+  name: "res5c_branch2b"
+  type: "Convolution"
+  convolution_param {
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2b"
+  top: "res5c_branch2b"
+  name: "bn5c_branch2b"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    filler { value: 1 }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2b"
+  top: "res5c_branch2b"
+  name: "scale5c_branch2b"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5c_branch2b"
+  top: "res5c_branch2b"
+  name: "res5c_branch2b_relu"
+  type: "ReLU"
+  relu_param {
+  }
+}
+
+layer {
+  bottom: "res5c_branch2b"
+  top: "res5c_branch2c"
+  name: "res5c_branch2c"
+  type: "Convolution"
+  convolution_param {
+    num_output: 2048
+    kernel_size: 1
+    pad: 0
+    stride: 1
+    bias_term: false
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2c"
+  top: "res5c_branch2c"
+  name: "bn5c_branch2c"
+  type: "BatchNorm"
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  param { lr_mult: 0 }
+  batch_norm_param {
+    moving_average_fraction: 0.9
+  filler { value: 0 }
+  }
+}
+
+layer {
+  bottom: "res5c_branch2c"
+  top: "res5c_branch2c"
+  name: "scale5c_branch2c"
+  type: "Scale"
+  param { decay_mult: 0 }
+  param { decay_mult: 0 }
+  scale_param {
+    bias_term: true
+  }
+}
+
+layer {
+  bottom: "res5b"
+  bottom: "res5c_branch2c"
+  top: "res5c"
+  name: "res5c"
+  type: "Eltwise"
+  eltwise_param {
+  }
+}
+
+layer {
+  bottom: "res5c"
+  top: "res5c"
+  name: "res5c_relu"
+  type: "ReLU"
+  relu_param {
+
+  }
+}
+
+layer {
+  bottom: "res5c"
+  top: "pool5"
+  name: "pool5"
+  type: "Pooling"
+  pooling_param {
+    kernel_size: 7
+    stride: 1
+    pool: AVE
+  }
+}
+
+layer {
+  bottom: "pool5"
+  top: "fc1000"
+  name: "fc1000"
+  type: "InnerProduct"
+  inner_product_param {
+    num_output: 1000
+    weight_filler {
+      type: "xavier"
+      variance_norm: AVERAGE
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+
+layer {
+  bottom: "fc1000"
+  bottom: "label"
+  top: "loss"
+  name: "prob"
+  type: "SoftmaxWithLoss"
+}
+layer {
+  name: "loss3/top-1"
+  type: "Accuracy"
+  bottom: "fc1000"
+  bottom: "label"
+  top: "loss3/top-1"
+}
+layer {
+  name: "loss3/top-5"
+  type: "Accuracy"
+  bottom: "fc1000"
+  bottom: "label"
+  top: "loss3/top-5"
+  accuracy_param {
+    top_k: 5
+  }
+}