diff --git a/models/resnet50/solver_augment.prototxt b/models/resnet50/solver_augment.prototxt
new file mode 100644
index 00000000000..82ecf4dec4b
--- /dev/null
+++ b/models/resnet50/solver_augment.prototxt
@@ -0,0 +1,41 @@
+net: "models/resnet50/train_val_augment.prototxt"
+
+test_iter: 1562         # 50000/32
+test_interval: 5000    
+test_initialization: false
+
+display: 100
+
+# DGX1 =================================
+max_iter: 500000 	# 100 epoch B=256
+base_lr:  0.2 		# B=256
+# ======================================
+
+local_lr_auto: true
+
+rampup_lr: 0.001
+rampup_interval: 10000
+
+lr_policy: "poly"
+power: 2.0
+momentum: 0.9
+weight_decay: 1e-4
+
+snapshot: 2500000
+snapshot_prefix: "models/resnet50/snapshots/resnet50_augment"
+snapshot_after_train: false
+
+solver_mode: GPU
+random_seed: 1
+
+# Train dataset size = 1,281,167
+# Test dataset size  =    50,000
+
+# batch 32  --> epoch = 40,000
+# batch 64  --> epoch = 20,000
+# batch 96  --> epoch = 15,000
+# batch 128 --> epoch = 10,000 
+# batch 256 --> epoch =  5,000
+# batch 512 --> epoch =  2,500
+
+
diff --git a/models/resnet50/train_resnet50_augment.sh b/models/resnet50/train_resnet50_augment.sh
new file mode 100755
index 00000000000..2954ced0c66
--- /dev/null
+++ b/models/resnet50/train_resnet50_augment.sh
@@ -0,0 +1,4 @@
+#!/usr/bin/env sh
+
+./build/tools/caffe train --solver=models/resnet50/solver_augment.prototxt -gpu=all \
+    2>&1 | tee models/resnet50/logs/resnet50_augment.log
diff --git a/models/resnet50/train_val_augment.prototxt b/models/resnet50/train_val_augment.prototxt
new file mode 100644
index 00000000000..885115f6bf7
--- /dev/null
+++ b/models/resnet50/train_val_augment.prototxt
@@ -0,0 +1,1925 @@
+name: "Resnet50_augment"
+
+layer {
+  name: "data"
+  type: "Data"
+  top: "data"
+  top: "label"
+  data_param {
+    source: "examples/imagenet/ilsvrc12_train_lmdb"
+#    source: "/data/imagenet/train-lmdb-uncompressed-256x256"
+    backend: LMDB
+    batch_size: 256 #32
+    cache:   true
+    shuffle: true  
+  }
+  transform_param {
+    var_sz_img_rand_resize_lower: 256
+    var_sz_img_rand_resize_upper: 288
+    var_sz_img_rand_crop: 224
+#    mean_file: "data/ilsvrc12/imagenet_mean.binaryproto"
+#    mean_file: "/data/imagenet/imagenet_256x256_mean.binaryproto"
+    crop_size: 224
+    mirror: true
+    scale: 0.00390625
+  }
+  include: { phase: TRAIN }
+}
+layer {
+  name: "data"
+  type: "Data"
+  top: "data"
+  top: "label"
+  data_param {
+    source: "examples/imagenet/ilsvrc12_val_lmdb"
+#    source: "/data/imagenet/val-lmdb-uncompressed-256x256"
+    backend: LMDB
+    batch_size: 32
+  }
+  transform_param {
+#    mean_file: "data/ilsvrc12/imagenet_mean.binaryproto"
+#    mean_file: "/data/imagenet/imagenet_256x256_mean.binaryproto"
+    crop_size: 224
+    mirror: false
+    scale: 0.00390625
+  }
+  include: { phase: TEST }
+}
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 7
+    pad: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "conv1/bn"
+  type: "BatchNorm"
+  bottom: "conv1"
+  top: "conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "conv1/relu"
+  type: "ReLU"
+  bottom: "conv1/bn"
+  top: "conv1/bn"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1/bn"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+#
+# res2
+#
+layer {
+  name: "res2.1.conv1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "res2.1.conv1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.1.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res2.1.conv1"
+  top: "res2.1.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.1.conv1/relu"
+  type: "ReLU"
+  bottom: "res2.1.conv1/bn"
+  top: "res2.1.conv1/bn"
+}
+layer {
+  name: "res2.1.conv2"
+  type: "Convolution"
+  bottom: "res2.1.conv1/bn"
+  top: "res2.1.conv2"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.1.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res2.1.conv2"
+  top: "res2.1.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.1.conv2/relu"
+  type: "ReLU"
+  bottom: "res2.1.conv2/bn"
+  top: "res2.1.conv2/bn"
+}
+layer {
+  name: "res2.1.conv3"
+  type: "Convolution"
+  bottom: "res2.1.conv2/bn"
+  top: "res2.1.conv3"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.1.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res2.1.conv3"
+  top: "res2.1.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.1.skipConv"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "res2.1.skipConv"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.1.skipConv/bn"
+  type: "BatchNorm"
+  bottom: "res2.1.skipConv"
+  top: "res2.1.skipConv/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.1.sum"
+  type: "Eltwise"
+  bottom: "res2.1.conv3/bn"
+  bottom: "res2.1.skipConv/bn"
+  top: "res2.1.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res2.1.relu"
+  type: "ReLU"
+  bottom: "res2.1.sum"
+  top: "res2.1.sum"
+}
+layer {
+  name: "res2.2.conv1"
+  type: "Convolution"
+  bottom: "res2.1.sum"
+  top: "res2.2.conv1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.2.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res2.2.conv1"
+  top: "res2.2.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.2.conv1/relu"
+  type: "ReLU"
+  bottom: "res2.2.conv1/bn"
+  top: "res2.2.conv1/bn"
+}
+layer {
+  name: "res2.2.conv2"
+  type: "Convolution"
+  bottom: "res2.2.conv1/bn"
+  top: "res2.2.conv2"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.2.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res2.2.conv2"
+  top: "res2.2.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.2.conv2/relu"
+  type: "ReLU"
+  bottom: "res2.2.conv2/bn"
+  top: "res2.2.conv2/bn"
+}
+layer {
+  name: "res2.2.conv3"
+  type: "Convolution"
+  bottom: "res2.2.conv2/bn"
+  top: "res2.2.conv3"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.2.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res2.2.conv3"
+  top: "res2.2.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.2.sum"
+  type: "Eltwise"
+  bottom: "res2.2.conv3/bn"
+  bottom: "res2.1.sum"
+  top: "res2.2.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res2.2.relu"
+  type: "ReLU"
+  bottom: "res2.2.sum"
+  top: "res2.2.sum"
+}
+layer {
+  name: "res2.3.conv1"
+  type: "Convolution"
+  bottom: "res2.2.sum"
+  top: "res2.3.conv1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.3.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res2.3.conv1"
+  top: "res2.3.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.3.conv1/relu"
+  type: "ReLU"
+  bottom: "res2.3.conv1/bn"
+  top: "res2.3.conv1/bn"
+}
+layer {
+  name: "res2.3.conv2"
+  type: "Convolution"
+  bottom: "res2.3.conv1/bn"
+  top: "res2.3.conv2"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.3.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res2.3.conv2"
+  top: "res2.3.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.3.conv2/relu"
+  type: "ReLU"
+  bottom: "res2.3.conv2/bn"
+  top: "res2.3.conv2/bn"
+}
+layer {
+  name: "res2.3.conv3"
+  type: "Convolution"
+  bottom: "res2.3.conv2/bn"
+  top: "res2.3.conv3"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res2.3.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res2.3.conv3"
+  top: "res2.3.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res2.3.sum"
+  type: "Eltwise"
+  bottom: "res2.3.conv3/bn"
+  bottom: "res2.2.sum"
+  top: "res2.3.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res2.3.relu"
+  type: "ReLU"
+  bottom: "res2.3.sum"
+  top: "res2.3.sum"
+}
+#
+# res3
+#
+layer {
+  name: "res3.1.conv1"
+  type: "Convolution"
+  bottom: "res2.3.sum"
+  top: "res3.1.conv1"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.1.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res3.1.conv1"
+  top: "res3.1.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.1.conv1/relu"
+  type: "ReLU"
+  bottom: "res3.1.conv1/bn"
+  top: "res3.1.conv1/bn"
+}
+layer {
+  name: "res3.1.conv2"
+  type: "Convolution"
+  bottom: "res3.1.conv1/bn"
+  top: "res3.1.conv2"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.1.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res3.1.conv2"
+  top: "res3.1.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.1.conv2/relu"
+  type: "ReLU"
+  bottom: "res3.1.conv2/bn"
+  top: "res3.1.conv2/bn"
+}
+layer {
+  name: "res3.1.conv3"
+  type: "Convolution"
+  bottom: "res3.1.conv2/bn"
+  top: "res3.1.conv3"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.1.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res3.1.conv3"
+  top: "res3.1.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.1.skipConv"
+  type: "Convolution"
+  bottom: "res2.3.sum"
+  top: "res3.1.skipConv"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.1.skipConv/bn"
+  type: "BatchNorm"
+  bottom: "res3.1.skipConv"
+  top: "res3.1.skipConv/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.1.sum"
+  type: "Eltwise"
+  bottom: "res3.1.conv3/bn"
+  bottom: "res3.1.skipConv/bn"
+  top: "res3.1.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res3.1.relu"
+  type: "ReLU"
+  bottom: "res3.1.sum"
+  top: "res3.1.sum"
+}
+layer {
+  name: "res3.2.conv1"
+  type: "Convolution"
+  bottom: "res3.1.sum"
+  top: "res3.2.conv1"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.2.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res3.2.conv1"
+  top: "res3.2.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.2.conv1/relu"
+  type: "ReLU"
+  bottom: "res3.2.conv1/bn"
+  top: "res3.2.conv1/bn"
+}
+layer {
+  name: "res3.2.conv2"
+  type: "Convolution"
+  bottom: "res3.2.conv1/bn"
+  top: "res3.2.conv2"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.2.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res3.2.conv2"
+  top: "res3.2.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.2.conv2/relu"
+  type: "ReLU"
+  bottom: "res3.2.conv2/bn"
+  top: "res3.2.conv2/bn"
+}
+layer {
+  name: "res3.2.conv3"
+  type: "Convolution"
+  bottom: "res3.2.conv2/bn"
+  top: "res3.2.conv3"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.2.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res3.2.conv3"
+  top: "res3.2.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.2.sum"
+  type: "Eltwise"
+  bottom: "res3.2.conv3/bn"
+  bottom: "res3.1.sum"
+  top: "res3.2.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res3.2.relu"
+  type: "ReLU"
+  bottom: "res3.2.sum"
+  top: "res3.2.sum"
+}
+layer {
+  name: "res3.3.conv1"
+  type: "Convolution"
+  bottom: "res3.2.sum"
+  top: "res3.3.conv1"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.3.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res3.3.conv1"
+  top: "res3.3.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.3.conv1/relu"
+  type: "ReLU"
+  bottom: "res3.3.conv1/bn"
+  top: "res3.3.conv1/bn"
+}
+layer {
+  name: "res3.3.conv2"
+  type: "Convolution"
+  bottom: "res3.3.conv1/bn"
+  top: "res3.3.conv2"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.3.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res3.3.conv2"
+  top: "res3.3.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.3.conv2/relu"
+  type: "ReLU"
+  bottom: "res3.3.conv2/bn"
+  top: "res3.3.conv2/bn"
+}
+layer {
+  name: "res3.3.conv3"
+  type: "Convolution"
+  bottom: "res3.3.conv2/bn"
+  top: "res3.3.conv3"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.3.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res3.3.conv3"
+  top: "res3.3.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.3.sum"
+  type: "Eltwise"
+  bottom: "res3.3.conv3/bn"
+  bottom: "res3.2.sum"
+  top: "res3.3.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res3.3.relu"
+  type: "ReLU"
+  bottom: "res3.3.sum"
+  top: "res3.3.sum"
+}
+layer {
+  name: "res3.4.conv1"
+  type: "Convolution"
+  bottom: "res3.3.sum"
+  top: "res3.4.conv1"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.4.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res3.4.conv1"
+  top: "res3.4.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.4.conv1/relu"
+  type: "ReLU"
+  bottom: "res3.4.conv1/bn"
+  top: "res3.4.conv1/bn"
+}
+layer {
+  name: "res3.4.conv2"
+  type: "Convolution"
+  bottom: "res3.4.conv1/bn"
+  top: "res3.4.conv2"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.4.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res3.4.conv2"
+  top: "res3.4.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.4.conv2/relu"
+  type: "ReLU"
+  bottom: "res3.4.conv2/bn"
+  top: "res3.4.conv2/bn"
+}
+layer {
+  name: "res3.4.conv3"
+  type: "Convolution"
+  bottom: "res3.4.conv2/bn"
+  top: "res3.4.conv3"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res3.4.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res3.4.conv3"
+  top: "res3.4.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res3.4.sum"
+  type: "Eltwise"
+  bottom: "res3.4.conv3/bn"
+  bottom: "res3.3.sum"
+  top: "res3.4.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res3.4.relu"
+  type: "ReLU"
+  bottom: "res3.4.sum"
+  top: "res3.4.sum"
+}
+#
+# res4
+#
+layer {
+  name: "res4.1.conv1"
+  type: "Convolution"
+  bottom: "res3.4.sum"
+  top: "res4.1.conv1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.1.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res4.1.conv1"
+  top: "res4.1.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.1.conv1/relu"
+  type: "ReLU"
+  bottom: "res4.1.conv1/bn"
+  top: "res4.1.conv1/bn"
+}
+layer {
+  name: "res4.1.conv2"
+  type: "Convolution"
+  bottom: "res4.1.conv1/bn"
+  top: "res4.1.conv2"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.1.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res4.1.conv2"
+  top: "res4.1.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.1.conv2/relu"
+  type: "ReLU"
+  bottom: "res4.1.conv2/bn"
+  top: "res4.1.conv2/bn"
+}
+layer {
+  name: "res4.1.conv3"
+  type: "Convolution"
+  bottom: "res4.1.conv2/bn"
+  top: "res4.1.conv3"
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.1.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res4.1.conv3"
+  top: "res4.1.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.1.skipConv"
+  type: "Convolution"
+  bottom: "res3.4.sum"
+  top: "res4.1.skipConv"
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.1.skipConv/bn"
+  type: "BatchNorm"
+  bottom: "res4.1.skipConv"
+  top: "res4.1.skipConv/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.1.sum"
+  type: "Eltwise"
+  bottom: "res4.1.conv3/bn"
+  bottom: "res4.1.skipConv/bn"
+  top: "res4.1.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res4.1.relu"
+  type: "ReLU"
+  bottom: "res4.1.sum"
+  top: "res4.1.sum"
+}
+layer {
+  name: "res4.2.conv1"
+  type: "Convolution"
+  bottom: "res4.1.sum"
+  top: "res4.2.conv1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.2.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res4.2.conv1"
+  top: "res4.2.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.2.conv1/relu"
+  type: "ReLU"
+  bottom: "res4.2.conv1/bn"
+  top: "res4.2.conv1/bn"
+}
+layer {
+  name: "res4.2.conv2"
+  type: "Convolution"
+  bottom: "res4.2.conv1/bn"
+  top: "res4.2.conv2"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.2.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res4.2.conv2"
+  top: "res4.2.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.2.conv2/relu"
+  type: "ReLU"
+  bottom: "res4.2.conv2/bn"
+  top: "res4.2.conv2/bn"
+}
+layer {
+  name: "res4.2.conv3"
+  type: "Convolution"
+  bottom: "res4.2.conv2/bn"
+  top: "res4.2.conv3"
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.2.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res4.2.conv3"
+  top: "res4.2.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.2.sum"
+  type: "Eltwise"
+  bottom: "res4.2.conv3/bn"
+  bottom: "res4.1.sum"
+  top: "res4.2.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res4.2.relu"
+  type: "ReLU"
+  bottom: "res4.2.sum"
+  top: "res4.2.sum"
+}
+layer {
+  name: "res4.3.conv1"
+  type: "Convolution"
+  bottom: "res4.2.sum"
+  top: "res4.3.conv1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.3.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res4.3.conv1"
+  top: "res4.3.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.3.conv1/relu"
+  type: "ReLU"
+  bottom: "res4.3.conv1/bn"
+  top: "res4.3.conv1/bn"
+}
+layer {
+  name: "res4.3.conv2"
+  type: "Convolution"
+  bottom: "res4.3.conv1/bn"
+  top: "res4.3.conv2"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.3.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res4.3.conv2"
+  top: "res4.3.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.3.conv2/relu"
+  type: "ReLU"
+  bottom: "res4.3.conv2/bn"
+  top: "res4.3.conv2/bn"
+}
+layer {
+  name: "res4.3.conv3"
+  type: "Convolution"
+  bottom: "res4.3.conv2/bn"
+  top: "res4.3.conv3"
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.3.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res4.3.conv3"
+  top: "res4.3.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.3.sum"
+  type: "Eltwise"
+  bottom: "res4.3.conv3/bn"
+  bottom: "res4.2.sum"
+  top: "res4.3.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res4.3.relu"
+  type: "ReLU"
+  bottom: "res4.3.sum"
+  top: "res4.3.sum"
+}
+layer {
+  name: "res4.4.conv1"
+  type: "Convolution"
+  bottom: "res4.3.sum"
+  top: "res4.4.conv1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.4.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res4.4.conv1"
+  top: "res4.4.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.4.conv1/relu"
+  type: "ReLU"
+  bottom: "res4.4.conv1/bn"
+  top: "res4.4.conv1/bn"
+}
+layer {
+  name: "res4.4.conv2"
+  type: "Convolution"
+  bottom: "res4.4.conv1/bn"
+  top: "res4.4.conv2"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.4.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res4.4.conv2"
+  top: "res4.4.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.4.conv2/relu"
+  type: "ReLU"
+  bottom: "res4.4.conv2/bn"
+  top: "res4.4.conv2/bn"
+}
+layer {
+  name: "res4.4.conv3"
+  type: "Convolution"
+  bottom: "res4.4.conv2/bn"
+  top: "res4.4.conv3"
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.4.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res4.4.conv3"
+  top: "res4.4.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.4.sum"
+  type: "Eltwise"
+  bottom: "res4.4.conv3/bn"
+  bottom: "res4.3.sum"
+  top: "res4.4.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res4.4.relu"
+  type: "ReLU"
+  bottom: "res4.4.sum"
+  top: "res4.4.sum"
+}
+layer {
+  name: "res4.5.conv1"
+  type: "Convolution"
+  bottom: "res4.4.sum"
+  top: "res4.5.conv1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.5.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res4.5.conv1"
+  top: "res4.5.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.5.conv1/relu"
+  type: "ReLU"
+  bottom: "res4.5.conv1/bn"
+  top: "res4.5.conv1/bn"
+}
+layer {
+  name: "res4.5.conv2"
+  type: "Convolution"
+  bottom: "res4.5.conv1/bn"
+  top: "res4.5.conv2"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.5.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res4.5.conv2"
+  top: "res4.5.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.5.conv2/relu"
+  type: "ReLU"
+  bottom: "res4.5.conv2/bn"
+  top: "res4.5.conv2/bn"
+}
+layer {
+  name: "res4.5.conv3"
+  type: "Convolution"
+  bottom: "res4.5.conv2/bn"
+  top: "res4.5.conv3"
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.5.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res4.5.conv3"
+  top: "res4.5.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.5.sum"
+  type: "Eltwise"
+  bottom: "res4.5.conv3/bn"
+  bottom: "res4.4.sum"
+  top: "res4.5.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res4.5.relu"
+  type: "ReLU"
+  bottom: "res4.5.sum"
+  top: "res4.5.sum"
+}
+layer {
+  name: "res4.6.conv1"
+  type: "Convolution"
+  bottom: "res4.5.sum"
+  top: "res4.6.conv1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.6.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res4.6.conv1"
+  top: "res4.6.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.6.conv1/relu"
+  type: "ReLU"
+  bottom: "res4.6.conv1/bn"
+  top: "res4.6.conv1/bn"
+}
+layer {
+  name: "res4.6.conv2"
+  type: "Convolution"
+  bottom: "res4.6.conv1/bn"
+  top: "res4.6.conv2"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.6.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res4.6.conv2"
+  top: "res4.6.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.6.conv2/relu"
+  type: "ReLU"
+  bottom: "res4.6.conv2/bn"
+  top: "res4.6.conv2/bn"
+}
+layer {
+  name: "res4.6.conv3"
+  type: "Convolution"
+  bottom: "res4.6.conv2/bn"
+  top: "res4.6.conv3"
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res4.6.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res4.6.conv3"
+  top: "res4.6.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res4.6.sum"
+  type: "Eltwise"
+  bottom: "res4.6.conv3/bn"
+  bottom: "res4.5.sum"
+  top: "res4.6.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res4.6.relu"
+  type: "ReLU"
+  bottom: "res4.6.sum"
+  top: "res4.6.sum"
+}
+#
+# res5
+#
+layer {
+  name: "res5.1.conv1"
+  type: "Convolution"
+  bottom: "res4.6.sum"
+  top: "res5.1.conv1"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.1.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res5.1.conv1"
+  top: "res5.1.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.1.conv1/relu"
+  type: "ReLU"
+  bottom: "res5.1.conv1/bn"
+  top: "res5.1.conv1/bn"
+}
+layer {
+  name: "res5.1.conv2"
+  type: "Convolution"
+  bottom: "res5.1.conv1/bn"
+  top: "res5.1.conv2"
+  convolution_param {
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.1.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res5.1.conv2"
+  top: "res5.1.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.1.conv2/relu"
+  type: "ReLU"
+  bottom: "res5.1.conv2/bn"
+  top: "res5.1.conv2/bn"
+}
+layer {
+  name: "res5.1.conv3"
+  type: "Convolution"
+  bottom: "res5.1.conv2/bn"
+  top: "res5.1.conv3"
+  convolution_param {
+    num_output: 2048
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.1.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res5.1.conv3"
+  top: "res5.1.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.1.skipConv"
+  type: "Convolution"
+  bottom: "res4.6.sum"
+  top: "res5.1.skipConv"
+  convolution_param {
+    num_output: 2048
+    kernel_size: 1
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.1.skipConv/bn"
+  type: "BatchNorm"
+  bottom: "res5.1.skipConv"
+  top: "res5.1.skipConv/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.1.sum"
+  type: "Eltwise"
+  bottom: "res5.1.conv3/bn"
+  bottom: "res5.1.skipConv/bn"
+  top: "res5.1.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res5.1.relu"
+  type: "ReLU"
+  bottom: "res5.1.sum"
+  top: "res5.1.sum"
+}
+layer {
+  name: "res5.2.conv1"
+  type: "Convolution"
+  bottom: "res5.1.sum"
+  top: "res5.2.conv1"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.2.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res5.2.conv1"
+  top: "res5.2.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.2.conv1/relu"
+  type: "ReLU"
+  bottom: "res5.2.conv1/bn"
+  top: "res5.2.conv1/bn"
+}
+layer {
+  name: "res5.2.conv2"
+  type: "Convolution"
+  bottom: "res5.2.conv1/bn"
+  top: "res5.2.conv2"
+  convolution_param {
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.2.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res5.2.conv2"
+  top: "res5.2.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.2.conv2/relu"
+  type: "ReLU"
+  bottom: "res5.2.conv2/bn"
+  top: "res5.2.conv2/bn"
+}
+layer {
+  name: "res5.2.conv3"
+  type: "Convolution"
+  bottom: "res5.2.conv2/bn"
+  top: "res5.2.conv3"
+  convolution_param {
+    num_output: 2048
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.2.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res5.2.conv3"
+  top: "res5.2.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.2.sum"
+  type: "Eltwise"
+  bottom: "res5.2.conv3/bn"
+  bottom: "res5.1.sum"
+  top: "res5.2.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res5.2.relu"
+  type: "ReLU"
+  bottom: "res5.2.sum"
+  top: "res5.2.sum"
+}
+layer {
+  name: "res5.3.conv1"
+  type: "Convolution"
+  bottom: "res5.2.sum"
+  top: "res5.3.conv1"
+  convolution_param {
+    num_output: 512
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.3.conv1/bn"
+  type: "BatchNorm"
+  bottom: "res5.3.conv1"
+  top: "res5.3.conv1/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.3.conv1/relu"
+  type: "ReLU"
+  bottom: "res5.3.conv1/bn"
+  top: "res5.3.conv1/bn"
+}
+layer {
+  name: "res5.3.conv2"
+  type: "Convolution"
+  bottom: "res5.3.conv1/bn"
+  top: "res5.3.conv2"
+  convolution_param {
+    num_output: 512
+    kernel_size: 3
+    pad: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.3.conv2/bn"
+  type: "BatchNorm"
+  bottom: "res5.3.conv2"
+  top: "res5.3.conv2/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.3.conv2/relu"
+  type: "ReLU"
+  bottom: "res5.3.conv2/bn"
+  top: "res5.3.conv2/bn"
+}
+layer {
+  name: "res5.3.conv3"
+  type: "Convolution"
+  bottom: "res5.3.conv2/bn"
+  top: "res5.3.conv3"
+  convolution_param {
+    num_output: 2048
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_term: false
+  }
+}
+layer {
+  name: "res5.3.conv3/bn"
+  type: "BatchNorm"
+  bottom: "res5.3.conv3"
+  top: "res5.3.conv3/bn"
+  batch_norm_param {
+    moving_average_fraction: 0.9
+    eps: 0.0001
+    scale_bias: true
+  }
+}
+layer {
+  name: "res5.3.sum"
+  type: "Eltwise"
+  bottom: "res5.3.conv3/bn"
+  bottom: "res5.2.sum"
+  top: "res5.3.sum"
+  eltwise_param {
+    operation: SUM
+  }
+}
+layer {
+  name: "res5.3.relu"
+  type: "ReLU"
+  bottom: "res5.3.sum"
+  top: "res5.3.sum"
+}
+layer {
+  name: "pool2"
+  type: "Pooling"
+  bottom: "res5.3.sum"
+  top: "pool2"
+  pooling_param {
+    pool: AVE
+    kernel_size: 7
+  }
+}
+layer {
+  name: "fc"
+  type: "InnerProduct"
+  bottom: "pool2"
+  top: "fc"
+  inner_product_param {
+    num_output: 1000
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "loss"
+  type: "SoftmaxWithLoss"
+  bottom: "fc"
+  bottom: "label"
+  top: "loss"
+ }
+
+layer {
+  name: "accuracy/top-1"
+  type: "Accuracy"
+  bottom: "fc"
+  bottom: "label"
+  top: "accuracy/top-1"
+  accuracy_param { top_k: 1 }
+#  include { phase: TEST }
+}
+layer {
+  name: "accuracy/top-5"
+  type: "Accuracy"
+  bottom: "fc"
+  bottom: "label"
+  top: "accuracy/top-5"
+  accuracy_param { top_k: 5 }
+#  include { phase: TEST }
+}