From d95b4665b8e246ad05f4d0e302ac270b3b31db4f Mon Sep 17 00:00:00 2001
From: Dzmitry Kamarouski <dzkamarouski@gmail.com>
Date: Sun, 11 Mar 2018 01:24:04 +0300
Subject: [PATCH 1/6] Add files via upload

---
 models/SqueezeNet/deploy.prototxt    | 553 +++++++++++++++++++++
 models/SqueezeNet/solver.prototxt    |  25 +
 models/SqueezeNet/train_val.prototxt | 693 +++++++++++++++++++++++++++
 3 files changed, 1271 insertions(+)
 create mode 100644 models/SqueezeNet/deploy.prototxt
 create mode 100644 models/SqueezeNet/solver.prototxt
 create mode 100644 models/SqueezeNet/train_val.prototxt

diff --git a/models/SqueezeNet/deploy.prototxt b/models/SqueezeNet/deploy.prototxt
new file mode 100644
index 000000000..8295b13fa
--- /dev/null
+++ b/models/SqueezeNet/deploy.prototxt
@@ -0,0 +1,553 @@
+# please cite:
+# @article{SqueezeNet,
+#     Author = {Forrest N. Iandola and Matthew W. Moskewicz and Khalid Ashraf and Song Han and William J. Dally and Kurt Keutzer},
+#     Title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $<$1MB model size},
+#     Journal = {arXiv:1602.07360},
+#     Year = {2016}
+# }
+
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 10 dim: 3 dim: 227 dim: 227 } }
+}
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "relu_conv1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire2/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "fire2/squeeze1x1"
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire2/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/squeeze1x1"
+}
+layer {
+  name: "fire2/expand1x1"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand1x1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire2/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire2/expand1x1"
+  top: "fire2/expand1x1"
+}
+layer {
+  name: "fire2/expand3x3"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand3x3"
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "fire2/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire2/expand3x3"
+  top: "fire2/expand3x3"
+}
+layer {
+  name: "fire2/concat"
+  type: "Concat"
+  bottom: "fire2/expand1x1"
+  bottom: "fire2/expand3x3"
+  top: "fire2/concat"
+}
+layer {
+  name: "fire3/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire2/concat"
+  top: "fire3/squeeze1x1"
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire3/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/squeeze1x1"
+}
+layer {
+  name: "fire3/expand1x1"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand1x1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire3/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire3/expand1x1"
+  top: "fire3/expand1x1"
+}
+layer {
+  name: "fire3/expand3x3"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand3x3"
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "fire3/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire3/expand3x3"
+  top: "fire3/expand3x3"
+}
+layer {
+  name: "fire3/concat"
+  type: "Concat"
+  bottom: "fire3/expand1x1"
+  bottom: "fire3/expand3x3"
+  top: "fire3/concat"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "fire3/concat"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire4/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "fire4/squeeze1x1"
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire4/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/squeeze1x1"
+}
+layer {
+  name: "fire4/expand1x1"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand1x1"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire4/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire4/expand1x1"
+  top: "fire4/expand1x1"
+}
+layer {
+  name: "fire4/expand3x3"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand3x3"
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "fire4/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire4/expand3x3"
+  top: "fire4/expand3x3"
+}
+layer {
+  name: "fire4/concat"
+  type: "Concat"
+  bottom: "fire4/expand1x1"
+  bottom: "fire4/expand3x3"
+  top: "fire4/concat"
+}
+layer {
+  name: "fire5/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire4/concat"
+  top: "fire5/squeeze1x1"
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire5/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/squeeze1x1"
+}
+layer {
+  name: "fire5/expand1x1"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand1x1"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire5/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire5/expand1x1"
+  top: "fire5/expand1x1"
+}
+layer {
+  name: "fire5/expand3x3"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand3x3"
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "fire5/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire5/expand3x3"
+  top: "fire5/expand3x3"
+}
+layer {
+  name: "fire5/concat"
+  type: "Concat"
+  bottom: "fire5/expand1x1"
+  bottom: "fire5/expand3x3"
+  top: "fire5/concat"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "fire5/concat"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire6/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fire6/squeeze1x1"
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire6/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/squeeze1x1"
+}
+layer {
+  name: "fire6/expand1x1"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand1x1"
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire6/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire6/expand1x1"
+  top: "fire6/expand1x1"
+}
+layer {
+  name: "fire6/expand3x3"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand3x3"
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "fire6/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire6/expand3x3"
+  top: "fire6/expand3x3"
+}
+layer {
+  name: "fire6/concat"
+  type: "Concat"
+  bottom: "fire6/expand1x1"
+  bottom: "fire6/expand3x3"
+  top: "fire6/concat"
+}
+layer {
+  name: "fire7/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire6/concat"
+  top: "fire7/squeeze1x1"
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire7/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/squeeze1x1"
+}
+layer {
+  name: "fire7/expand1x1"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand1x1"
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire7/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire7/expand1x1"
+  top: "fire7/expand1x1"
+}
+layer {
+  name: "fire7/expand3x3"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand3x3"
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "fire7/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire7/expand3x3"
+  top: "fire7/expand3x3"
+}
+layer {
+  name: "fire7/concat"
+  type: "Concat"
+  bottom: "fire7/expand1x1"
+  bottom: "fire7/expand3x3"
+  top: "fire7/concat"
+}
+layer {
+  name: "fire8/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire7/concat"
+  top: "fire8/squeeze1x1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire8/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/squeeze1x1"
+}
+layer {
+  name: "fire8/expand1x1"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand1x1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire8/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire8/expand1x1"
+  top: "fire8/expand1x1"
+}
+layer {
+  name: "fire8/expand3x3"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand3x3"
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "fire8/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire8/expand3x3"
+  top: "fire8/expand3x3"
+}
+layer {
+  name: "fire8/concat"
+  type: "Concat"
+  bottom: "fire8/expand1x1"
+  bottom: "fire8/expand3x3"
+  top: "fire8/concat"
+}
+layer {
+  name: "fire9/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire8/concat"
+  top: "fire9/squeeze1x1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire9/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/squeeze1x1"
+}
+layer {
+  name: "fire9/expand1x1"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand1x1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+  }
+}
+layer {
+  name: "fire9/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+}
+layer {
+  name: "fire9/expand3x3"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand3x3"
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+  }
+}
+layer {
+  name: "fire9/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+}
+layer {
+  name: "fire9/concat"
+  type: "Concat"
+  bottom: "fire9/expand1x1"
+  bottom: "fire9/expand3x3"
+  top: "fire9/concat"
+}
+layer {
+  name: "drop9"
+  type: "Dropout"
+  bottom: "fire9/concat"
+  top: "fire9/concat"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
+layer {
+  name: "conv10"
+  type: "Convolution"
+  bottom: "fire9/concat"
+  top: "conv10"
+  convolution_param {
+    num_output: 1000
+    kernel_size: 1
+  }
+}
+layer {
+  name: "relu_conv10"
+  type: "ReLU"
+  bottom: "conv10"
+  top: "conv10"
+}
+layer {
+  name: "pool10"
+  type: "Pooling"
+  bottom: "conv10"
+  top: "pool10"
+  pooling_param {
+    pool: AVE
+    global_pooling: true
+  }
+}
+layer {
+  name: "prob"
+  type: "Softmax"
+  bottom: "pool10"
+  top: "prob"
+}
diff --git a/models/SqueezeNet/solver.prototxt b/models/SqueezeNet/solver.prototxt
new file mode 100644
index 000000000..b5f3de552
--- /dev/null
+++ b/models/SqueezeNet/solver.prototxt
@@ -0,0 +1,25 @@
+# please cite:
+# @article{SqueezeNet,
+#     Author = {Forrest N. Iandola and Matthew W. Moskewicz and Khalid Ashraf and Song Han and William J. Dally and Kurt Keutzer},
+#     Title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $<$1MB model size},
+#     Journal = {arXiv:1602.07360},
+#     Year = {2016}
+# }
+
+test_iter: 2000 #not subject to iter_size
+test_interval: 1000
+base_lr: 0.04
+display: 40
+max_iter: 170000
+iter_size: 16 #global batch size = batch_size * iter_size
+lr_policy: "poly"
+power: 1.0 #linearly decrease LR
+momentum: 0.9
+weight_decay: 0.0002
+snapshot: 1000
+snapshot_prefix: "train"
+solver_mode: GPU
+random_seed: 42
+net: "train_val.prototxt" #we typically do `cd SqueezeNet_v1.0; caffe train <args>` 
+test_initialization: false
+average_loss: 40
diff --git a/models/SqueezeNet/train_val.prototxt b/models/SqueezeNet/train_val.prototxt
new file mode 100644
index 000000000..6a1c47805
--- /dev/null
+++ b/models/SqueezeNet/train_val.prototxt
@@ -0,0 +1,693 @@
+# please cite:
+# @article{SqueezeNet,
+#     Author = {Forrest N. Iandola and Matthew W. Moskewicz and Khalid Ashraf and Song Han and William J. Dally and Kurt Keutzer},
+#     Title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $<$1MB model size},
+#     Journal = {arXiv:1602.07360},
+#     Year = {2016}
+# }
+layer {
+  name: "data"
+  type: "Data"
+  top: "data"
+  top: "label"
+  include {
+    phase: TRAIN
+  }
+  transform_param {
+    crop_size: 227
+    mean_value: 104
+    mean_value: 117
+    mean_value: 123
+  }
+  data_param {
+    source: "examples/imagenet/ilsvrc12_train_lmdb"
+    batch_size: 32
+    backend: LMDB
+  }
+}
+layer {
+  name: "data"
+  type: "Data"
+  top: "data"
+  top: "label"
+  include {
+    phase: TEST
+  }
+  transform_param {
+    crop_size: 227
+    mean_value: 104
+    mean_value: 117
+    mean_value: 123
+  }
+  data_param {
+    source: "examples/imagenet/ilsvrc12_val_lmdb"
+    batch_size: 25 #not *iter_size
+    backend: LMDB
+  }
+}
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "relu_conv1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire2/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "fire2/squeeze1x1"
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/squeeze1x1"
+}
+layer {
+  name: "fire2/expand1x1"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand1x1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire2/expand1x1"
+  top: "fire2/expand1x1"
+}
+layer {
+  name: "fire2/expand3x3"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand3x3"
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire2/expand3x3"
+  top: "fire2/expand3x3"
+}
+layer {
+  name: "fire2/concat"
+  type: "Concat"
+  bottom: "fire2/expand1x1"
+  bottom: "fire2/expand3x3"
+  top: "fire2/concat"
+}
+layer {
+  name: "fire3/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire2/concat"
+  top: "fire3/squeeze1x1"
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/squeeze1x1"
+}
+layer {
+  name: "fire3/expand1x1"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand1x1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire3/expand1x1"
+  top: "fire3/expand1x1"
+}
+layer {
+  name: "fire3/expand3x3"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand3x3"
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire3/expand3x3"
+  top: "fire3/expand3x3"
+}
+layer {
+  name: "fire3/concat"
+  type: "Concat"
+  bottom: "fire3/expand1x1"
+  bottom: "fire3/expand3x3"
+  top: "fire3/concat"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "fire3/concat"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire4/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "fire4/squeeze1x1"
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/squeeze1x1"
+}
+layer {
+  name: "fire4/expand1x1"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand1x1"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire4/expand1x1"
+  top: "fire4/expand1x1"
+}
+layer {
+  name: "fire4/expand3x3"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand3x3"
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire4/expand3x3"
+  top: "fire4/expand3x3"
+}
+layer {
+  name: "fire4/concat"
+  type: "Concat"
+  bottom: "fire4/expand1x1"
+  bottom: "fire4/expand3x3"
+  top: "fire4/concat"
+}
+layer {
+  name: "fire5/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire4/concat"
+  top: "fire5/squeeze1x1"
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/squeeze1x1"
+}
+layer {
+  name: "fire5/expand1x1"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand1x1"
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire5/expand1x1"
+  top: "fire5/expand1x1"
+}
+layer {
+  name: "fire5/expand3x3"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand3x3"
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire5/expand3x3"
+  top: "fire5/expand3x3"
+}
+layer {
+  name: "fire5/concat"
+  type: "Concat"
+  bottom: "fire5/expand1x1"
+  bottom: "fire5/expand3x3"
+  top: "fire5/concat"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "fire5/concat"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire6/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fire6/squeeze1x1"
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/squeeze1x1"
+}
+layer {
+  name: "fire6/expand1x1"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand1x1"
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire6/expand1x1"
+  top: "fire6/expand1x1"
+}
+layer {
+  name: "fire6/expand3x3"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand3x3"
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire6/expand3x3"
+  top: "fire6/expand3x3"
+}
+layer {
+  name: "fire6/concat"
+  type: "Concat"
+  bottom: "fire6/expand1x1"
+  bottom: "fire6/expand3x3"
+  top: "fire6/concat"
+}
+layer {
+  name: "fire7/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire6/concat"
+  top: "fire7/squeeze1x1"
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/squeeze1x1"
+}
+layer {
+  name: "fire7/expand1x1"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand1x1"
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire7/expand1x1"
+  top: "fire7/expand1x1"
+}
+layer {
+  name: "fire7/expand3x3"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand3x3"
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire7/expand3x3"
+  top: "fire7/expand3x3"
+}
+layer {
+  name: "fire7/concat"
+  type: "Concat"
+  bottom: "fire7/expand1x1"
+  bottom: "fire7/expand3x3"
+  top: "fire7/concat"
+}
+layer {
+  name: "fire8/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire7/concat"
+  top: "fire8/squeeze1x1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/squeeze1x1"
+}
+layer {
+  name: "fire8/expand1x1"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand1x1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire8/expand1x1"
+  top: "fire8/expand1x1"
+}
+layer {
+  name: "fire8/expand3x3"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand3x3"
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire8/expand3x3"
+  top: "fire8/expand3x3"
+}
+layer {
+  name: "fire8/concat"
+  type: "Concat"
+  bottom: "fire8/expand1x1"
+  bottom: "fire8/expand3x3"
+  top: "fire8/concat"
+}
+layer {
+  name: "fire9/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire8/concat"
+  top: "fire9/squeeze1x1"
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/squeeze1x1"
+}
+layer {
+  name: "fire9/expand1x1"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand1x1"
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+}
+layer {
+  name: "fire9/expand3x3"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand3x3"
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+}
+layer {
+  name: "fire9/concat"
+  type: "Concat"
+  bottom: "fire9/expand1x1"
+  bottom: "fire9/expand3x3"
+  top: "fire9/concat"
+}
+layer {
+  name: "drop9"
+  type: "Dropout"
+  bottom: "fire9/concat"
+  top: "fire9/concat"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
+layer {
+  name: "conv10"
+  type: "Convolution"
+  bottom: "fire9/concat"
+  top: "conv10"
+  convolution_param {
+    num_output: 1000
+    kernel_size: 1
+    weight_filler {
+      type: "gaussian"
+      mean: 0.0
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "relu_conv10"
+  type: "ReLU"
+  bottom: "conv10"
+  top: "conv10"
+}
+layer {
+  name: "pool10"
+  type: "Pooling"
+  bottom: "conv10"
+  top: "pool10"
+  pooling_param {
+    pool: AVE
+    global_pooling: true
+  }
+}
+layer {
+  name: "loss"
+  type: "SoftmaxWithLoss"
+  bottom: "pool10"
+  bottom: "label"
+  top: "loss"
+  #include {
+  #  phase: TRAIN
+  #}
+}
+layer {
+  name: "accuracy"
+  type: "Accuracy"
+  bottom: "pool10"
+  bottom: "label"
+  top: "accuracy"
+  #include {
+  #  phase: TEST
+  #}
+}
+layer {
+  name: "accuracy_top5"
+  type: "Accuracy"
+  bottom: "pool10"
+  bottom: "label"
+  top: "accuracy_top5"
+  #include {
+  #  phase: TEST
+  #}
+  accuracy_param {
+    top_k: 5
+  }
+}

From 2cf8c624ebfc374b47869920bfbfdc2a646b1044 Mon Sep 17 00:00:00 2001
From: Dzmitry Kamarouski <dzkamarouski@gmail.com>
Date: Sun, 11 Mar 2018 01:25:13 +0300
Subject: [PATCH 2/6] Add files via upload

---
 .../ssd/SqueezeNet-SSD/README.md              |    7 +
 .../ssd/SqueezeNet-SSD/solver_test.prototxt   |   27 +
 .../ssd/SqueezeNet-SSD/solver_train.prototxt  |   22 +
 .../squeezenet_ssd_voc_deploy.prototxt        | 2367 ++++++++++++++++
 .../squeezenet_ssd_voc_test.prototxt          | 2407 ++++++++++++++++
 .../squeezenet_ssd_voc_train.prototxt         | 2478 +++++++++++++++++
 6 files changed, 7308 insertions(+)
 create mode 100644 models/intel_optimized_models/ssd/SqueezeNet-SSD/README.md
 create mode 100644 models/intel_optimized_models/ssd/SqueezeNet-SSD/solver_test.prototxt
 create mode 100644 models/intel_optimized_models/ssd/SqueezeNet-SSD/solver_train.prototxt
 create mode 100644 models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_deploy.prototxt
 create mode 100644 models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_test.prototxt
 create mode 100644 models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_train.prototxt

diff --git a/models/intel_optimized_models/ssd/SqueezeNet-SSD/README.md b/models/intel_optimized_models/ssd/SqueezeNet-SSD/README.md
new file mode 100644
index 000000000..9480fc8a1
--- /dev/null
+++ b/models/intel_optimized_models/ssd/SqueezeNet-SSD/README.md
@@ -0,0 +1,7 @@
+# SqueezeNet-SSD
+SSD detection network of SqueezeNet, with pretrained weights on VOC0712 and mAP=0.643.
+
+Network|mAP|FPS(GPU)|Download
+:---:|:---:|:---:|:---:
+SqueezeNet-SSD|64.3|100|[22M](https://drive.google.com/open?id=0B3gersZ2cHIxdGpyZlZnbEQ5Snc)
+
diff --git a/models/intel_optimized_models/ssd/SqueezeNet-SSD/solver_test.prototxt b/models/intel_optimized_models/ssd/SqueezeNet-SSD/solver_test.prototxt
new file mode 100644
index 000000000..887022a32
--- /dev/null
+++ b/models/intel_optimized_models/ssd/SqueezeNet-SSD/solver_test.prototxt
@@ -0,0 +1,27 @@
+train_net: "squeezenet_ssd_voc_train.prototxt"
+test_net: "squeezenet_ssd_voc_test.prototxt"
+test_iter: 619
+test_interval: 10000
+base_lr: 0.001
+display: 10
+max_iter: 0
+lr_policy: "multistep"
+gamma: 0.1
+momentum: 0.9
+weight_decay: 0.0005
+snapshot: 0
+snapshot_prefix: "snapshot/squeezenet"
+solver_mode: GPU
+device_id: 0
+debug_info: false
+snapshot_after_train: false
+test_initialization: true
+average_loss: 10
+stepvalue: 80000
+stepvalue: 100000
+stepvalue: 120000
+iter_size: 1
+type: "SGD"
+eval_type: "detection"
+ap_version: "11point"
+
diff --git a/models/intel_optimized_models/ssd/SqueezeNet-SSD/solver_train.prototxt b/models/intel_optimized_models/ssd/SqueezeNet-SSD/solver_train.prototxt
new file mode 100644
index 000000000..7ebfc70df
--- /dev/null
+++ b/models/intel_optimized_models/ssd/SqueezeNet-SSD/solver_train.prototxt
@@ -0,0 +1,22 @@
+net: "squeezenet_ssd_voc_train.prototxt"
+base_lr: 0.0001
+display: 10
+max_iter: 220000
+lr_policy: "multistep"
+gamma: 0.5
+weight_decay: 0.0
+snapshot: 1000
+snapshot_prefix: "snapshot/squeezenet"
+solver_mode: GPU
+debug_info: false
+snapshot_after_train: true
+test_initialization: false
+average_loss: 10
+stepvalue: 20000
+stepvalue: 50000
+stepvalue: 100000
+iter_size: 1
+type: "RMSProp"
+eval_type: "detection"
+ap_version: "11point"
+
diff --git a/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_deploy.prototxt b/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_deploy.prototxt
new file mode 100644
index 000000000..ff2f06ee1
--- /dev/null
+++ b/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_deploy.prototxt
@@ -0,0 +1,2367 @@
+name: "squeezenet-ssd"
+input: "data"
+input_shape {
+  dim: 1
+  dim: 3
+  dim: 300
+  dim: 300
+}
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "relu_conv1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire2/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "fire2/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/squeeze1x1"
+}
+layer {
+  name: "fire2/expand1x1"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire2/expand1x1"
+  top: "fire2/expand1x1"
+}
+layer {
+  name: "fire2/expand3x3"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire2/expand3x3"
+  top: "fire2/expand3x3"
+}
+layer {
+  name: "fire2/concat"
+  type: "Concat"
+  bottom: "fire2/expand1x1"
+  bottom: "fire2/expand3x3"
+  top: "fire2/concat"
+}
+layer {
+  name: "fire3/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire2/concat"
+  top: "fire3/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/squeeze1x1"
+}
+layer {
+  name: "fire3/expand1x1"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire3/expand1x1"
+  top: "fire3/expand1x1"
+}
+layer {
+  name: "fire3/expand3x3"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire3/expand3x3"
+  top: "fire3/expand3x3"
+}
+layer {
+  name: "fire3/concat"
+  type: "Concat"
+  bottom: "fire3/expand1x1"
+  bottom: "fire3/expand3x3"
+  top: "fire3/concat"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "fire3/concat"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire4/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "fire4/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/squeeze1x1"
+}
+layer {
+  name: "fire4/expand1x1"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire4/expand1x1"
+  top: "fire4/expand1x1"
+}
+layer {
+  name: "fire4/expand3x3"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire4/expand3x3"
+  top: "fire4/expand3x3"
+}
+layer {
+  name: "fire4/concat"
+  type: "Concat"
+  bottom: "fire4/expand1x1"
+  bottom: "fire4/expand3x3"
+  top: "fire4/concat"
+}
+layer {
+  name: "fire5/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire4/concat"
+  top: "fire5/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/squeeze1x1"
+}
+layer {
+  name: "fire5/expand1x1"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire5/expand1x1"
+  top: "fire5/expand1x1"
+}
+layer {
+  name: "fire5/expand3x3"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire5/expand3x3"
+  top: "fire5/expand3x3"
+}
+layer {
+  name: "fire5/concat"
+  type: "Concat"
+  bottom: "fire5/expand1x1"
+  bottom: "fire5/expand3x3"
+  top: "fire5/concat"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "fire5/concat"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire6/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fire6/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/squeeze1x1"
+}
+layer {
+  name: "fire6/expand1x1"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire6/expand1x1"
+  top: "fire6/expand1x1"
+}
+layer {
+  name: "fire6/expand3x3"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire6/expand3x3"
+  top: "fire6/expand3x3"
+}
+layer {
+  name: "fire6/concat"
+  type: "Concat"
+  bottom: "fire6/expand1x1"
+  bottom: "fire6/expand3x3"
+  top: "fire6/concat"
+}
+layer {
+  name: "fire7/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire6/concat"
+  top: "fire7/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/squeeze1x1"
+}
+layer {
+  name: "fire7/expand1x1"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire7/expand1x1"
+  top: "fire7/expand1x1"
+}
+layer {
+  name: "fire7/expand3x3"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire7/expand3x3"
+  top: "fire7/expand3x3"
+}
+layer {
+  name: "fire7/concat"
+  type: "Concat"
+  bottom: "fire7/expand1x1"
+  bottom: "fire7/expand3x3"
+  top: "fire7/concat"
+}
+layer {
+  name: "fire8/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire7/concat"
+  top: "fire8/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/squeeze1x1"
+}
+layer {
+  name: "fire8/expand1x1"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire8/expand1x1"
+  top: "fire8/expand1x1"
+}
+layer {
+  name: "fire8/expand3x3"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire8/expand3x3"
+  top: "fire8/expand3x3"
+}
+layer {
+  name: "fire8/concat"
+  type: "Concat"
+  bottom: "fire8/expand1x1"
+  bottom: "fire8/expand3x3"
+  top: "fire8/concat"
+}
+layer {
+  name: "fire9/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire8/concat"
+  top: "fire9/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/squeeze1x1"
+}
+layer {
+  name: "fire9/expand1x1"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire9/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire9/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+}
+layer {
+  name: "fire9/expand3x3"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire9/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire9/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+}
+layer {
+  name: "fire9/concat"
+  type: "Concat"
+  bottom: "fire9/expand1x1"
+  bottom: "fire9/expand3x3"
+  top: "fire9/concat"
+}
+layer {
+  name: "pool9"
+  type: "Pooling"
+  bottom: "fire9/concat"
+  top: "pool9"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+#================ssd append layer fire10, out 9 * 9
+layer {
+  name: "fire10/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool9"
+  top: "fire10/squeeze1x1"
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/squeeze1x1/bn"
+  type: "BatchNorm"
+  top: "fire10/squeeze1x1"
+  bottom: "fire10/squeeze1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/squeeze1x1/scale"
+  type: "Scale"
+  top: "fire10/squeeze1x1"
+  bottom: "fire10/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/squeeze1x1"
+}
+layer {
+  name: "fire10/expand1x1"
+  type: "Convolution"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/expand1x1"
+  convolution_param {
+    num_output: 384
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+}
+layer {
+  name: "fire10/expand3x3"
+  type: "Convolution"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/expand3x3"
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+}
+layer {
+  name: "fire10/concat"
+  type: "Concat"
+  bottom: "fire10/expand1x1"
+  bottom: "fire10/expand3x3"
+  top: "fire10/concat"
+}
+#================ssd append layer fire11, out 4 * 4
+layer {
+  name: "pool10"
+  type: "Pooling"
+  bottom: "fire10/concat"
+  top: "pool10"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire11/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool10"
+  top: "fire11/squeeze1x1"
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/squeeze1x1/bn"
+  type: "BatchNorm"
+  top: "fire11/squeeze1x1"
+  bottom: "fire11/squeeze1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/squeeze1x1/scale"
+  type: "Scale"
+  top: "fire11/squeeze1x1"
+  bottom: "fire11/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/squeeze1x1"
+}
+layer {
+  name: "fire11/expand1x1"
+  type: "Convolution"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/expand1x1"
+  convolution_param {
+    num_output: 384
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+}
+layer {
+  name: "fire11/expand3x3"
+  type: "Convolution"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/expand3x3"
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+}
+layer {
+  name: "fire11/concat"
+  type: "Concat"
+  bottom: "fire11/expand1x1"
+  bottom: "fire11/expand3x3"
+  top: "fire11/concat"
+}
+#================ssd append layer conv12, out 2 * 2
+layer {
+  name: "conv12_1"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "conv12_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 128
+    bias_term: false
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv12_1/bn"
+  type: "BatchNorm"
+  bottom: "conv12_1"
+  top: "conv12_1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv12_1/scale"
+  type: "Scale"
+  bottom: "conv12_1"
+  top: "conv12_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv12_1/relu"
+  type: "ReLU"
+  bottom: "conv12_1"
+  top: "conv12_1"
+}
+layer {
+  name: "conv12_2"
+  type: "Convolution"
+  bottom: "conv12_1"
+  top: "conv12_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 256
+    bias_term: false
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv12_2/bn"
+  type: "BatchNorm"
+  bottom: "conv12_2"
+  top: "conv12_2"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv12_2/scale"
+  type: "Scale"
+  bottom: "conv12_2"
+  top: "conv12_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv12_2/relu"
+  type: "ReLU"
+  bottom: "conv12_2"
+  top: "conv12_2"
+}
+#================ssd append layer conv13, out 1 * 1
+layer {
+  name: "conv13_1"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv13_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 64
+    bias_term: false
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv13_1/bn"
+  type: "BatchNorm"
+  bottom: "conv13_1"
+  top: "conv13_1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv13_1/scale"
+  type: "Scale"
+  bottom: "conv13_1"
+  top: "conv13_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv13_1/relu"
+  type: "ReLU"
+  bottom: "conv13_1"
+  top: "conv13_1"
+}
+layer {
+  name: "conv13_2"
+  type: "Convolution"
+  bottom: "conv13_1"
+  top: "conv13_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 128
+    bias_term: false
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv13_2/bn"
+  type: "BatchNorm"
+  bottom: "conv13_2"
+  top: "conv13_2"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv13_2/scale"
+  type: "Scale"
+  bottom: "conv13_2"
+  top: "conv13_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv13_2/relu"
+  type: "ReLU"
+  bottom: "conv13_2"
+  top: "conv13_2"
+}
+#================ssd mbox layer
+layer {
+  name: "fire5/bn"
+  type: "BatchNorm"
+  bottom: "fire5/concat"
+  top: "fire5/normal"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire5/scale"
+  type: "Scale"
+  bottom: "fire5/normal"
+  top: "fire5/normal"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_loc"
+  type: "Convolution"
+  bottom: "fire5/normal"
+  top: "fire5_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire5_mbox_loc"
+  top: "fire5_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire5_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire5_mbox_loc_perm"
+  top: "fire5_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire5_mbox_conf"
+  type: "Convolution"
+  bottom: "fire5/normal"
+  top: "fire5_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 84
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire5_mbox_conf"
+  top: "fire5_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire5_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire5_mbox_conf_perm"
+  top: "fire5_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire5_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire5/normal"
+  bottom: "data"
+  top: "fire5_mbox_priorbox"
+  prior_box_param {
+    min_size: 21.0
+    max_size: 45.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 8
+  }
+}
+#================mbox fire9
+layer {
+  name: "fire9_mbox_loc"
+  type: "Convolution"
+  bottom: "fire9/concat"
+  top: "fire9_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire9_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire9_mbox_loc"
+  top: "fire9_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire9_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire9_mbox_loc_perm"
+  top: "fire9_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire9_mbox_conf"
+  type: "Convolution"
+  bottom: "fire9/concat"
+  top: "fire9_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire9_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire9_mbox_conf"
+  top: "fire9_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire9_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire9_mbox_conf_perm"
+  top: "fire9_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire9_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire9/concat"
+  bottom: "data"
+  top: "fire9_mbox_priorbox"
+  prior_box_param {
+    min_size: 45.0
+    max_size: 99.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 16
+  }
+}
+#=====fire10 mbox
+layer {
+  name: "fire10_mbox_loc"
+  type: "Convolution"
+  bottom: "fire10/concat"
+  top: "fire10_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire10_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire10_mbox_loc"
+  top: "fire10_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire10_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire10_mbox_loc_perm"
+  top: "fire10_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire10_mbox_conf"
+  type: "Convolution"
+  bottom: "fire10/concat"
+  top: "fire10_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire10_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire10_mbox_conf"
+  top: "fire10_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire10_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire10_mbox_conf_perm"
+  top: "fire10_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire10_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire10/concat"
+  bottom: "data"
+  top: "fire10_mbox_priorbox"
+  prior_box_param {
+    min_size: 99.0
+    max_size: 153.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 32
+  }
+}
+
+#=====conv11 mbox
+layer {
+  name: "fire11_mbox_loc"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "fire11_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire11_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire11_mbox_loc"
+  top: "fire11_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire11_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire11_mbox_loc_perm"
+  top: "fire11_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire11_mbox_conf"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "fire11_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire11_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire11_mbox_conf"
+  top: "fire11_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire11_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire11_mbox_conf_perm"
+  top: "fire11_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire11_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire11/concat"
+  bottom: "data"
+  top: "fire11_mbox_priorbox"
+  prior_box_param {
+    min_size: 153.0
+    max_size: 207.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 64
+  }
+}
+#=====conv12 mbox
+layer {
+  name: "conv12_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv12_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv12_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv12_2_mbox_loc"
+  top: "conv12_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv12_2_mbox_loc_perm"
+  top: "conv12_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv12_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv12_2_mbox_conf"
+  top: "conv12_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv12_2_mbox_conf_perm"
+  top: "conv12_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv12_2"
+  bottom: "data"
+  top: "conv12_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 207.0
+    max_size: 261.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 100
+  }
+}
+#=====conv13 mbox
+layer {
+  name: "conv13_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv13_2"
+  top: "conv13_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv13_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv13_2_mbox_loc"
+  top: "conv13_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv13_2_mbox_loc_perm"
+  top: "conv13_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv13_2"
+  top: "conv13_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 84
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv13_2_mbox_conf"
+  top: "conv13_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv13_2_mbox_conf_perm"
+  top: "conv13_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv13_2"
+  bottom: "data"
+  top: "conv13_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 261.0
+    max_size: 315.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 300
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "fire5_mbox_loc_flat"
+  bottom: "fire9_mbox_loc_flat"
+  bottom: "fire10_mbox_loc_flat"
+  bottom: "fire11_mbox_loc_flat"
+  bottom: "conv12_2_mbox_loc_flat"
+  bottom: "conv13_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "fire5_mbox_conf_flat"
+  bottom: "fire9_mbox_conf_flat"
+  bottom: "fire10_mbox_conf_flat"
+  bottom: "fire11_mbox_conf_flat"
+  bottom: "conv12_2_mbox_conf_flat"
+  bottom: "conv13_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "fire5_mbox_priorbox"
+  bottom: "fire9_mbox_priorbox"
+  bottom: "fire10_mbox_priorbox"
+  bottom: "fire11_mbox_priorbox"
+  bottom: "conv12_2_mbox_priorbox"
+  bottom: "conv13_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_reshape"
+  type: "Reshape"
+  bottom: "mbox_conf"
+  top: "mbox_conf_reshape"
+  reshape_param {
+    shape {
+      dim: 0
+      dim: -1
+      dim: 21
+    }
+  }
+}
+layer {
+  name: "mbox_conf_softmax"
+  type: "Softmax"
+  bottom: "mbox_conf_reshape"
+  top: "mbox_conf_softmax"
+  softmax_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_flatten"
+  type: "Flatten"
+  bottom: "mbox_conf_softmax"
+  top: "mbox_conf_flatten"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "detection_out"
+  type: "DetectionOutput"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf_flatten"
+  bottom: "mbox_priorbox"
+  top: "detection_out"
+  include {
+    phase: TEST
+  }
+  detection_output_param {
+    num_classes: 21
+    share_location: true
+    background_label_id: 0
+    nms_param {
+      nms_threshold: 0.45
+      top_k: 100
+    }
+    code_type: CENTER_SIZE
+    keep_top_k: 100
+    confidence_threshold: 0.25
+  }
+}
diff --git a/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_test.prototxt b/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_test.prototxt
new file mode 100644
index 000000000..c193ea73b
--- /dev/null
+++ b/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_test.prototxt
@@ -0,0 +1,2407 @@
+name: "squeezenet-ssd"
+layer {
+  name: "data"
+  type: "AnnotatedData"
+  top: "data"
+  top: "label"
+  include {
+    phase: TEST
+  }
+  transform_param {
+    mean_value: 104
+    mean_value: 117
+    mean_value: 123
+    resize_param {
+      prob: 1.0
+      resize_mode: WARP
+      height: 300
+      width: 300
+      interp_mode: LINEAR
+    }
+  }
+  data_param {
+    source: "test_lmdb/"
+    batch_size: 8
+    backend: LMDB
+  }
+  annotated_data_param {
+    batch_sampler {
+    }
+    label_map_file: "labelmap.prototxt"
+  }
+}
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "relu_conv1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire2/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "fire2/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/squeeze1x1"
+}
+layer {
+  name: "fire2/expand1x1"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire2/expand1x1"
+  top: "fire2/expand1x1"
+}
+layer {
+  name: "fire2/expand3x3"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire2/expand3x3"
+  top: "fire2/expand3x3"
+}
+layer {
+  name: "fire2/concat"
+  type: "Concat"
+  bottom: "fire2/expand1x1"
+  bottom: "fire2/expand3x3"
+  top: "fire2/concat"
+}
+layer {
+  name: "fire3/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire2/concat"
+  top: "fire3/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/squeeze1x1"
+}
+layer {
+  name: "fire3/expand1x1"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire3/expand1x1"
+  top: "fire3/expand1x1"
+}
+layer {
+  name: "fire3/expand3x3"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire3/expand3x3"
+  top: "fire3/expand3x3"
+}
+layer {
+  name: "fire3/concat"
+  type: "Concat"
+  bottom: "fire3/expand1x1"
+  bottom: "fire3/expand3x3"
+  top: "fire3/concat"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "fire3/concat"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire4/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "fire4/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/squeeze1x1"
+}
+layer {
+  name: "fire4/expand1x1"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire4/expand1x1"
+  top: "fire4/expand1x1"
+}
+layer {
+  name: "fire4/expand3x3"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire4/expand3x3"
+  top: "fire4/expand3x3"
+}
+layer {
+  name: "fire4/concat"
+  type: "Concat"
+  bottom: "fire4/expand1x1"
+  bottom: "fire4/expand3x3"
+  top: "fire4/concat"
+}
+layer {
+  name: "fire5/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire4/concat"
+  top: "fire5/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/squeeze1x1"
+}
+layer {
+  name: "fire5/expand1x1"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire5/expand1x1"
+  top: "fire5/expand1x1"
+}
+layer {
+  name: "fire5/expand3x3"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire5/expand3x3"
+  top: "fire5/expand3x3"
+}
+layer {
+  name: "fire5/concat"
+  type: "Concat"
+  bottom: "fire5/expand1x1"
+  bottom: "fire5/expand3x3"
+  top: "fire5/concat"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "fire5/concat"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire6/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fire6/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/squeeze1x1"
+}
+layer {
+  name: "fire6/expand1x1"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire6/expand1x1"
+  top: "fire6/expand1x1"
+}
+layer {
+  name: "fire6/expand3x3"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire6/expand3x3"
+  top: "fire6/expand3x3"
+}
+layer {
+  name: "fire6/concat"
+  type: "Concat"
+  bottom: "fire6/expand1x1"
+  bottom: "fire6/expand3x3"
+  top: "fire6/concat"
+}
+layer {
+  name: "fire7/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire6/concat"
+  top: "fire7/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/squeeze1x1"
+}
+layer {
+  name: "fire7/expand1x1"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire7/expand1x1"
+  top: "fire7/expand1x1"
+}
+layer {
+  name: "fire7/expand3x3"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire7/expand3x3"
+  top: "fire7/expand3x3"
+}
+layer {
+  name: "fire7/concat"
+  type: "Concat"
+  bottom: "fire7/expand1x1"
+  bottom: "fire7/expand3x3"
+  top: "fire7/concat"
+}
+layer {
+  name: "fire8/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire7/concat"
+  top: "fire8/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/squeeze1x1"
+}
+layer {
+  name: "fire8/expand1x1"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire8/expand1x1"
+  top: "fire8/expand1x1"
+}
+layer {
+  name: "fire8/expand3x3"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire8/expand3x3"
+  top: "fire8/expand3x3"
+}
+layer {
+  name: "fire8/concat"
+  type: "Concat"
+  bottom: "fire8/expand1x1"
+  bottom: "fire8/expand3x3"
+  top: "fire8/concat"
+}
+layer {
+  name: "fire9/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire8/concat"
+  top: "fire9/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/squeeze1x1"
+}
+layer {
+  name: "fire9/expand1x1"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire9/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire9/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+}
+layer {
+  name: "fire9/expand3x3"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire9/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire9/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+}
+layer {
+  name: "fire9/concat"
+  type: "Concat"
+  bottom: "fire9/expand1x1"
+  bottom: "fire9/expand3x3"
+  top: "fire9/concat"
+}
+layer {
+  name: "pool9"
+  type: "Pooling"
+  bottom: "fire9/concat"
+  top: "pool9"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+#================ssd append layer fire10, out 9 * 9
+layer {
+  name: "fire10/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool9"
+  top: "fire10/squeeze1x1"
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/squeeze1x1/bn"
+  type: "BatchNorm"
+  top: "fire10/squeeze1x1"
+  bottom: "fire10/squeeze1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/squeeze1x1/scale"
+  type: "Scale"
+  top: "fire10/squeeze1x1"
+  bottom: "fire10/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/squeeze1x1"
+}
+layer {
+  name: "fire10/expand1x1"
+  type: "Convolution"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/expand1x1"
+  convolution_param {
+    num_output: 384
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+}
+layer {
+  name: "fire10/expand3x3"
+  type: "Convolution"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/expand3x3"
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+}
+layer {
+  name: "fire10/concat"
+  type: "Concat"
+  bottom: "fire10/expand1x1"
+  bottom: "fire10/expand3x3"
+  top: "fire10/concat"
+}
+#================ssd append layer fire11, out 4 * 4
+layer {
+  name: "pool10"
+  type: "Pooling"
+  bottom: "fire10/concat"
+  top: "pool10"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire11/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool10"
+  top: "fire11/squeeze1x1"
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/squeeze1x1/bn"
+  type: "BatchNorm"
+  top: "fire11/squeeze1x1"
+  bottom: "fire11/squeeze1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/squeeze1x1/scale"
+  type: "Scale"
+  top: "fire11/squeeze1x1"
+  bottom: "fire11/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/squeeze1x1"
+}
+layer {
+  name: "fire11/expand1x1"
+  type: "Convolution"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/expand1x1"
+  convolution_param {
+    num_output: 384
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+}
+layer {
+  name: "fire11/expand3x3"
+  type: "Convolution"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/expand3x3"
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+}
+layer {
+  name: "fire11/concat"
+  type: "Concat"
+  bottom: "fire11/expand1x1"
+  bottom: "fire11/expand3x3"
+  top: "fire11/concat"
+}
+#================ssd append layer conv12, out 2 * 2
+layer {
+  name: "conv12_1"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "conv12_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 128
+    bias_term: false
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv12_1/bn"
+  type: "BatchNorm"
+  bottom: "conv12_1"
+  top: "conv12_1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv12_1/scale"
+  type: "Scale"
+  bottom: "conv12_1"
+  top: "conv12_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv12_1/relu"
+  type: "ReLU"
+  bottom: "conv12_1"
+  top: "conv12_1"
+}
+layer {
+  name: "conv12_2"
+  type: "Convolution"
+  bottom: "conv12_1"
+  top: "conv12_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 256
+    bias_term: false
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv12_2/bn"
+  type: "BatchNorm"
+  bottom: "conv12_2"
+  top: "conv12_2"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv12_2/scale"
+  type: "Scale"
+  bottom: "conv12_2"
+  top: "conv12_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv12_2/relu"
+  type: "ReLU"
+  bottom: "conv12_2"
+  top: "conv12_2"
+}
+#================ssd append layer conv13, out 1 * 1
+layer {
+  name: "conv13_1"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv13_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 64
+    bias_term: false
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv13_1/bn"
+  type: "BatchNorm"
+  bottom: "conv13_1"
+  top: "conv13_1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv13_1/scale"
+  type: "Scale"
+  bottom: "conv13_1"
+  top: "conv13_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv13_1/relu"
+  type: "ReLU"
+  bottom: "conv13_1"
+  top: "conv13_1"
+}
+layer {
+  name: "conv13_2"
+  type: "Convolution"
+  bottom: "conv13_1"
+  top: "conv13_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 128
+    bias_term: false
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv13_2/bn"
+  type: "BatchNorm"
+  bottom: "conv13_2"
+  top: "conv13_2"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv13_2/scale"
+  type: "Scale"
+  bottom: "conv13_2"
+  top: "conv13_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv13_2/relu"
+  type: "ReLU"
+  bottom: "conv13_2"
+  top: "conv13_2"
+}
+#================ssd mbox layer
+layer {
+  name: "fire5/bn"
+  type: "BatchNorm"
+  bottom: "fire5/concat"
+  top: "fire5/normal"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire5/scale"
+  type: "Scale"
+  bottom: "fire5/normal"
+  top: "fire5/normal"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_loc"
+  type: "Convolution"
+  bottom: "fire5/normal"
+  top: "fire5_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire5_mbox_loc"
+  top: "fire5_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire5_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire5_mbox_loc_perm"
+  top: "fire5_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire5_mbox_conf"
+  type: "Convolution"
+  bottom: "fire5/normal"
+  top: "fire5_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 84
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire5_mbox_conf"
+  top: "fire5_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire5_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire5_mbox_conf_perm"
+  top: "fire5_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire5_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire5/normal"
+  bottom: "data"
+  top: "fire5_mbox_priorbox"
+  prior_box_param {
+    min_size: 21.0
+    max_size: 45.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 8
+  }
+}
+#================mbox fire9
+layer {
+  name: "fire9_mbox_loc"
+  type: "Convolution"
+  bottom: "fire9/concat"
+  top: "fire9_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire9_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire9_mbox_loc"
+  top: "fire9_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire9_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire9_mbox_loc_perm"
+  top: "fire9_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire9_mbox_conf"
+  type: "Convolution"
+  bottom: "fire9/concat"
+  top: "fire9_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire9_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire9_mbox_conf"
+  top: "fire9_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire9_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire9_mbox_conf_perm"
+  top: "fire9_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire9_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire9/concat"
+  bottom: "data"
+  top: "fire9_mbox_priorbox"
+  prior_box_param {
+    min_size: 45.0
+    max_size: 99.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 16
+  }
+}
+#=====fire10 mbox
+layer {
+  name: "fire10_mbox_loc"
+  type: "Convolution"
+  bottom: "fire10/concat"
+  top: "fire10_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire10_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire10_mbox_loc"
+  top: "fire10_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire10_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire10_mbox_loc_perm"
+  top: "fire10_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire10_mbox_conf"
+  type: "Convolution"
+  bottom: "fire10/concat"
+  top: "fire10_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire10_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire10_mbox_conf"
+  top: "fire10_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire10_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire10_mbox_conf_perm"
+  top: "fire10_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire10_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire10/concat"
+  bottom: "data"
+  top: "fire10_mbox_priorbox"
+  prior_box_param {
+    min_size: 99.0
+    max_size: 153.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 32
+  }
+}
+
+#=====conv11 mbox
+layer {
+  name: "fire11_mbox_loc"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "fire11_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire11_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire11_mbox_loc"
+  top: "fire11_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire11_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire11_mbox_loc_perm"
+  top: "fire11_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire11_mbox_conf"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "fire11_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire11_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire11_mbox_conf"
+  top: "fire11_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire11_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire11_mbox_conf_perm"
+  top: "fire11_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire11_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire11/concat"
+  bottom: "data"
+  top: "fire11_mbox_priorbox"
+  prior_box_param {
+    min_size: 153.0
+    max_size: 207.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 64
+  }
+}
+#=====conv12 mbox
+layer {
+  name: "conv12_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv12_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv12_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv12_2_mbox_loc"
+  top: "conv12_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv12_2_mbox_loc_perm"
+  top: "conv12_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv12_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv12_2_mbox_conf"
+  top: "conv12_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv12_2_mbox_conf_perm"
+  top: "conv12_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv12_2"
+  bottom: "data"
+  top: "conv12_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 207.0
+    max_size: 261.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 100
+  }
+}
+#=====conv13 mbox
+layer {
+  name: "conv13_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv13_2"
+  top: "conv13_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv13_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv13_2_mbox_loc"
+  top: "conv13_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv13_2_mbox_loc_perm"
+  top: "conv13_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv13_2"
+  top: "conv13_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 84
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv13_2_mbox_conf"
+  top: "conv13_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv13_2_mbox_conf_perm"
+  top: "conv13_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv13_2"
+  bottom: "data"
+  top: "conv13_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 261.0
+    max_size: 315.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 300
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "fire5_mbox_loc_flat"
+  bottom: "fire9_mbox_loc_flat"
+  bottom: "fire10_mbox_loc_flat"
+  bottom: "fire11_mbox_loc_flat"
+  bottom: "conv12_2_mbox_loc_flat"
+  bottom: "conv13_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "fire5_mbox_conf_flat"
+  bottom: "fire9_mbox_conf_flat"
+  bottom: "fire10_mbox_conf_flat"
+  bottom: "fire11_mbox_conf_flat"
+  bottom: "conv12_2_mbox_conf_flat"
+  bottom: "conv13_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "fire5_mbox_priorbox"
+  bottom: "fire9_mbox_priorbox"
+  bottom: "fire10_mbox_priorbox"
+  bottom: "fire11_mbox_priorbox"
+  bottom: "conv12_2_mbox_priorbox"
+  bottom: "conv13_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_reshape"
+  type: "Reshape"
+  bottom: "mbox_conf"
+  top: "mbox_conf_reshape"
+  reshape_param {
+    shape {
+      dim: 0
+      dim: -1
+      dim: 21
+    }
+  }
+}
+layer {
+  name: "mbox_conf_softmax"
+  type: "Softmax"
+  bottom: "mbox_conf_reshape"
+  top: "mbox_conf_softmax"
+  softmax_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_flatten"
+  type: "Flatten"
+  bottom: "mbox_conf_softmax"
+  top: "mbox_conf_flatten"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "detection_out"
+  type: "DetectionOutput"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf_flatten"
+  bottom: "mbox_priorbox"
+  top: "detection_out"
+  include {
+    phase: TEST
+  }
+  detection_output_param {
+    num_classes: 21
+    share_location: true
+    background_label_id: 0
+    nms_param {
+      nms_threshold: 0.45
+      top_k: 400
+    }
+    code_type: CENTER_SIZE
+    keep_top_k: 200
+    confidence_threshold: 0.01
+  }
+}
+layer {
+  name: "detection_eval"
+  type: "DetectionEvaluate"
+  bottom: "detection_out"
+  bottom: "label"
+  top: "detection_eval"
+  include {
+    phase: TEST
+  }
+  detection_evaluate_param {
+    num_classes: 21
+    background_label_id: 0
+    overlap_threshold: 0.5
+    evaluate_difficult_gt: false
+  }
+}
diff --git a/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_train.prototxt b/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_train.prototxt
new file mode 100644
index 000000000..86f0142c4
--- /dev/null
+++ b/models/intel_optimized_models/ssd/SqueezeNet-SSD/squeezenet_ssd_voc_train.prototxt
@@ -0,0 +1,2478 @@
+name: "squeezenet-ssd"
+layer {
+  name: "data"
+  type: "AnnotatedData"
+  top: "data"
+  top: "label"
+  include {
+    phase: TRAIN
+  }
+  transform_param {
+    mirror: true
+    mean_value: 104
+    mean_value: 117
+    mean_value: 123
+    resize_param {
+      prob: 1.0
+      resize_mode: WARP
+      height: 300
+      width: 300
+      interp_mode: LINEAR
+      interp_mode: AREA
+      interp_mode: NEAREST
+      interp_mode: CUBIC
+      interp_mode: LANCZOS4
+    }
+    emit_constraint {
+      emit_type: CENTER
+    }
+    distort_param {
+      brightness_prob: 0.5
+      brightness_delta: 32.0
+      contrast_prob: 0.5
+      contrast_lower: 0.5
+      contrast_upper: 1.5
+      hue_prob: 0.5
+      hue_delta: 18.0
+      saturation_prob: 0.5
+      saturation_lower: 0.5
+      saturation_upper: 1.5
+      random_order_prob: 0.0
+    }
+    expand_param {
+      prob: 0.5
+      max_expand_ratio: 4.0
+    }
+  }
+  data_param {
+    source: "trainval_lmdb"
+    batch_size: 32
+    backend: LMDB
+  }
+  annotated_data_param {
+    batch_sampler {
+      max_sample: 1
+      max_trials: 1
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.1
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.3
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.5
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.7
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.9
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        max_jaccard_overlap: 1.0
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    label_map_file: "labelmap.prototxt"
+  }
+}
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "relu_conv1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire2/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "fire2/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/squeeze1x1"
+}
+layer {
+  name: "fire2/expand1x1"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire2/expand1x1"
+  top: "fire2/expand1x1"
+}
+layer {
+  name: "fire2/expand3x3"
+  type: "Convolution"
+  bottom: "fire2/squeeze1x1"
+  top: "fire2/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire2/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire2/expand3x3"
+  top: "fire2/expand3x3"
+}
+layer {
+  name: "fire2/concat"
+  type: "Concat"
+  bottom: "fire2/expand1x1"
+  bottom: "fire2/expand3x3"
+  top: "fire2/concat"
+}
+layer {
+  name: "fire3/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire2/concat"
+  top: "fire3/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/squeeze1x1"
+}
+layer {
+  name: "fire3/expand1x1"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire3/expand1x1"
+  top: "fire3/expand1x1"
+}
+layer {
+  name: "fire3/expand3x3"
+  type: "Convolution"
+  bottom: "fire3/squeeze1x1"
+  top: "fire3/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire3/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire3/expand3x3"
+  top: "fire3/expand3x3"
+}
+layer {
+  name: "fire3/concat"
+  type: "Concat"
+  bottom: "fire3/expand1x1"
+  bottom: "fire3/expand3x3"
+  top: "fire3/concat"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "fire3/concat"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire4/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "fire4/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/squeeze1x1"
+}
+layer {
+  name: "fire4/expand1x1"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire4/expand1x1"
+  top: "fire4/expand1x1"
+}
+layer {
+  name: "fire4/expand3x3"
+  type: "Convolution"
+  bottom: "fire4/squeeze1x1"
+  top: "fire4/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire4/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire4/expand3x3"
+  top: "fire4/expand3x3"
+}
+layer {
+  name: "fire4/concat"
+  type: "Concat"
+  bottom: "fire4/expand1x1"
+  bottom: "fire4/expand3x3"
+  top: "fire4/concat"
+}
+layer {
+  name: "fire5/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire4/concat"
+  top: "fire5/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 32
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/squeeze1x1"
+}
+layer {
+  name: "fire5/expand1x1"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire5/expand1x1"
+  top: "fire5/expand1x1"
+}
+layer {
+  name: "fire5/expand3x3"
+  type: "Convolution"
+  bottom: "fire5/squeeze1x1"
+  top: "fire5/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire5/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire5/expand3x3"
+  top: "fire5/expand3x3"
+}
+layer {
+  name: "fire5/concat"
+  type: "Concat"
+  bottom: "fire5/expand1x1"
+  bottom: "fire5/expand3x3"
+  top: "fire5/concat"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "fire5/concat"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire6/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fire6/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/squeeze1x1"
+}
+layer {
+  name: "fire6/expand1x1"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire6/expand1x1"
+  top: "fire6/expand1x1"
+}
+layer {
+  name: "fire6/expand3x3"
+  type: "Convolution"
+  bottom: "fire6/squeeze1x1"
+  top: "fire6/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire6/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire6/expand3x3"
+  top: "fire6/expand3x3"
+}
+layer {
+  name: "fire6/concat"
+  type: "Concat"
+  bottom: "fire6/expand1x1"
+  bottom: "fire6/expand3x3"
+  top: "fire6/concat"
+}
+layer {
+  name: "fire7/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire6/concat"
+  top: "fire7/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 48
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/squeeze1x1"
+}
+layer {
+  name: "fire7/expand1x1"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire7/expand1x1"
+  top: "fire7/expand1x1"
+}
+layer {
+  name: "fire7/expand3x3"
+  type: "Convolution"
+  bottom: "fire7/squeeze1x1"
+  top: "fire7/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 192
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire7/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire7/expand3x3"
+  top: "fire7/expand3x3"
+}
+layer {
+  name: "fire7/concat"
+  type: "Concat"
+  bottom: "fire7/expand1x1"
+  bottom: "fire7/expand3x3"
+  top: "fire7/concat"
+}
+layer {
+  name: "fire8/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire7/concat"
+  top: "fire8/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/squeeze1x1"
+}
+layer {
+  name: "fire8/expand1x1"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire8/expand1x1"
+  top: "fire8/expand1x1"
+}
+layer {
+  name: "fire8/expand3x3"
+  type: "Convolution"
+  bottom: "fire8/squeeze1x1"
+  top: "fire8/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire8/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire8/expand3x3"
+  top: "fire8/expand3x3"
+}
+layer {
+  name: "fire8/concat"
+  type: "Concat"
+  bottom: "fire8/expand1x1"
+  bottom: "fire8/expand3x3"
+  top: "fire8/concat"
+}
+layer {
+  name: "fire9/squeeze1x1"
+  type: "Convolution"
+  bottom: "fire8/concat"
+  top: "fire9/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/squeeze1x1"
+}
+layer {
+  name: "fire9/expand1x1"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire9/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire9/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire9/expand1x1"
+  top: "fire9/expand1x1"
+}
+layer {
+  name: "fire9/expand3x3"
+  type: "Convolution"
+  bottom: "fire9/squeeze1x1"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire9/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire9/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire9/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire9/expand3x3"
+  top: "fire9/expand3x3"
+}
+layer {
+  name: "fire9/concat"
+  type: "Concat"
+  bottom: "fire9/expand1x1"
+  bottom: "fire9/expand3x3"
+  top: "fire9/concat"
+}
+layer {
+  name: "pool9"
+  type: "Pooling"
+  bottom: "fire9/concat"
+  top: "pool9"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+#================ssd append layer fire10, out 9 * 9
+layer {
+  name: "fire10/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool9"
+  top: "fire10/squeeze1x1"
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/squeeze1x1/bn"
+  type: "BatchNorm"
+  top: "fire10/squeeze1x1"
+  bottom: "fire10/squeeze1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/squeeze1x1/scale"
+  type: "Scale"
+  top: "fire10/squeeze1x1"
+  bottom: "fire10/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/squeeze1x1"
+}
+layer {
+  name: "fire10/expand1x1"
+  type: "Convolution"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/expand1x1"
+  convolution_param {
+    num_output: 384
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire10/expand1x1"
+  top: "fire10/expand1x1"
+}
+layer {
+  name: "fire10/expand3x3"
+  type: "Convolution"
+  bottom: "fire10/squeeze1x1"
+  top: "fire10/expand3x3"
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire10/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire10/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire10/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire10/expand3x3"
+  top: "fire10/expand3x3"
+}
+layer {
+  name: "fire10/concat"
+  type: "Concat"
+  bottom: "fire10/expand1x1"
+  bottom: "fire10/expand3x3"
+  top: "fire10/concat"
+}
+#================ssd append layer fire11, out 4 * 4
+layer {
+  name: "pool10"
+  type: "Pooling"
+  bottom: "fire10/concat"
+  top: "pool10"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "fire11/squeeze1x1"
+  type: "Convolution"
+  bottom: "pool10"
+  top: "fire11/squeeze1x1"
+  convolution_param {
+    num_output: 96
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/squeeze1x1/bn"
+  type: "BatchNorm"
+  top: "fire11/squeeze1x1"
+  bottom: "fire11/squeeze1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/squeeze1x1/scale"
+  type: "Scale"
+  top: "fire11/squeeze1x1"
+  bottom: "fire11/squeeze1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_squeeze1x1"
+  type: "ReLU"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/squeeze1x1"
+}
+layer {
+  name: "fire11/expand1x1"
+  type: "Convolution"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/expand1x1"
+  convolution_param {
+    num_output: 384
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/expand1x1/bn"
+  type: "BatchNorm"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/expand1x1/scale"
+  type: "Scale"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_expand1x1"
+  type: "ReLU"
+  bottom: "fire11/expand1x1"
+  top: "fire11/expand1x1"
+}
+layer {
+  name: "fire11/expand3x3"
+  type: "Convolution"
+  bottom: "fire11/squeeze1x1"
+  top: "fire11/expand3x3"
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+  }
+}
+layer {
+  name: "fire11/expand3x3/bn"
+  type: "BatchNorm"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire11/expand3x3/scale"
+  type: "Scale"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire11/relu_expand3x3"
+  type: "ReLU"
+  bottom: "fire11/expand3x3"
+  top: "fire11/expand3x3"
+}
+layer {
+  name: "fire11/concat"
+  type: "Concat"
+  bottom: "fire11/expand1x1"
+  bottom: "fire11/expand3x3"
+  top: "fire11/concat"
+}
+#================ssd append layer conv12, out 2 * 2
+layer {
+  name: "conv12_1"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "conv12_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 128
+    bias_term: false
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv12_1/bn"
+  type: "BatchNorm"
+  bottom: "conv12_1"
+  top: "conv12_1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv12_1/scale"
+  type: "Scale"
+  bottom: "conv12_1"
+  top: "conv12_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv12_1/relu"
+  type: "ReLU"
+  bottom: "conv12_1"
+  top: "conv12_1"
+}
+layer {
+  name: "conv12_2"
+  type: "Convolution"
+  bottom: "conv12_1"
+  top: "conv12_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 256
+    bias_term: false
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv12_2/bn"
+  type: "BatchNorm"
+  bottom: "conv12_2"
+  top: "conv12_2"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv12_2/scale"
+  type: "Scale"
+  bottom: "conv12_2"
+  top: "conv12_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv12_2/relu"
+  type: "ReLU"
+  bottom: "conv12_2"
+  top: "conv12_2"
+}
+#================ssd append layer conv13, out 1 * 1
+layer {
+  name: "conv13_1"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv13_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 64
+    bias_term: false
+    kernel_size: 1
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv13_1/bn"
+  type: "BatchNorm"
+  bottom: "conv13_1"
+  top: "conv13_1"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv13_1/scale"
+  type: "Scale"
+  bottom: "conv13_1"
+  top: "conv13_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv13_1/relu"
+  type: "ReLU"
+  bottom: "conv13_1"
+  top: "conv13_1"
+}
+layer {
+  name: "conv13_2"
+  type: "Convolution"
+  bottom: "conv13_1"
+  top: "conv13_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  convolution_param {
+    num_output: 128
+    bias_term: false
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "msra"
+    }
+  }
+}
+layer {
+  name: "conv13_2/bn"
+  type: "BatchNorm"
+  bottom: "conv13_2"
+  top: "conv13_2"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "conv13_2/scale"
+  type: "Scale"
+  bottom: "conv13_2"
+  top: "conv13_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv13_2/relu"
+  type: "ReLU"
+  bottom: "conv13_2"
+  top: "conv13_2"
+}
+#================ssd mbox layer
+layer {
+  name: "fire5/bn"
+  type: "BatchNorm"
+  bottom: "fire5/concat"
+  top: "fire5/normal"
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+  param {
+    lr_mult: 0
+    decay_mult: 0
+  }
+}
+layer {
+  name: "fire5/scale"
+  type: "Scale"
+  bottom: "fire5/normal"
+  top: "fire5/normal"
+  param {
+    lr_mult: 1.0
+    decay_mult: 0.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  scale_param {
+    filler {
+      value: 1
+    }
+    bias_term: true
+    bias_filler {
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_loc"
+  type: "Convolution"
+  bottom: "fire5/normal"
+  top: "fire5_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire5_mbox_loc"
+  top: "fire5_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire5_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire5_mbox_loc_perm"
+  top: "fire5_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire5_mbox_conf"
+  type: "Convolution"
+  bottom: "fire5/normal"
+  top: "fire5_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 84
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire5_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire5_mbox_conf"
+  top: "fire5_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire5_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire5_mbox_conf_perm"
+  top: "fire5_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire5_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire5/normal"
+  bottom: "data"
+  top: "fire5_mbox_priorbox"
+  prior_box_param {
+    min_size: 21.0
+    max_size: 45.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 8
+  }
+}
+#================mbox fire9
+layer {
+  name: "fire9_mbox_loc"
+  type: "Convolution"
+  bottom: "fire9/concat"
+  top: "fire9_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire9_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire9_mbox_loc"
+  top: "fire9_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire9_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire9_mbox_loc_perm"
+  top: "fire9_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire9_mbox_conf"
+  type: "Convolution"
+  bottom: "fire9/concat"
+  top: "fire9_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire9_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire9_mbox_conf"
+  top: "fire9_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire9_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire9_mbox_conf_perm"
+  top: "fire9_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire9_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire9/concat"
+  bottom: "data"
+  top: "fire9_mbox_priorbox"
+  prior_box_param {
+    min_size: 45.0
+    max_size: 99.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 16
+  }
+}
+#=====fire10 mbox
+layer {
+  name: "fire10_mbox_loc"
+  type: "Convolution"
+  bottom: "fire10/concat"
+  top: "fire10_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire10_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire10_mbox_loc"
+  top: "fire10_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire10_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire10_mbox_loc_perm"
+  top: "fire10_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire10_mbox_conf"
+  type: "Convolution"
+  bottom: "fire10/concat"
+  top: "fire10_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire10_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire10_mbox_conf"
+  top: "fire10_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire10_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire10_mbox_conf_perm"
+  top: "fire10_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire10_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire10/concat"
+  bottom: "data"
+  top: "fire10_mbox_priorbox"
+  prior_box_param {
+    min_size: 99.0
+    max_size: 153.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 32
+  }
+}
+
+#=====conv11 mbox
+layer {
+  name: "fire11_mbox_loc"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "fire11_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire11_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fire11_mbox_loc"
+  top: "fire11_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire11_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fire11_mbox_loc_perm"
+  top: "fire11_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire11_mbox_conf"
+  type: "Convolution"
+  bottom: "fire11/concat"
+  top: "fire11_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fire11_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fire11_mbox_conf"
+  top: "fire11_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fire11_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fire11_mbox_conf_perm"
+  top: "fire11_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fire11_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fire11/concat"
+  bottom: "data"
+  top: "fire11_mbox_priorbox"
+  prior_box_param {
+    min_size: 153.0
+    max_size: 207.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 64
+  }
+}
+#=====conv12 mbox
+layer {
+  name: "conv12_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv12_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv12_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv12_2_mbox_loc"
+  top: "conv12_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv12_2_mbox_loc_perm"
+  top: "conv12_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv12_2"
+  top: "conv12_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 126
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv12_2_mbox_conf"
+  top: "conv12_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv12_2_mbox_conf_perm"
+  top: "conv12_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv12_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv12_2"
+  bottom: "data"
+  top: "conv12_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 207.0
+    max_size: 261.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 100
+  }
+}
+#=====conv13 mbox
+layer {
+  name: "conv13_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv13_2"
+  top: "conv13_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv13_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv13_2_mbox_loc"
+  top: "conv13_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv13_2_mbox_loc_perm"
+  top: "conv13_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv13_2"
+  top: "conv13_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 84
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "msra"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv13_2_mbox_conf"
+  top: "conv13_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv13_2_mbox_conf_perm"
+  top: "conv13_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv13_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv13_2"
+  bottom: "data"
+  top: "conv13_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 261.0
+    max_size: 315.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 300
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "fire5_mbox_loc_flat"
+  bottom: "fire9_mbox_loc_flat"
+  bottom: "fire10_mbox_loc_flat"
+  bottom: "fire11_mbox_loc_flat"
+  bottom: "conv12_2_mbox_loc_flat"
+  bottom: "conv13_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "fire5_mbox_conf_flat"
+  bottom: "fire9_mbox_conf_flat"
+  bottom: "fire10_mbox_conf_flat"
+  bottom: "fire11_mbox_conf_flat"
+  bottom: "conv12_2_mbox_conf_flat"
+  bottom: "conv13_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "fire5_mbox_priorbox"
+  bottom: "fire9_mbox_priorbox"
+  bottom: "fire10_mbox_priorbox"
+  bottom: "fire11_mbox_priorbox"
+  bottom: "conv12_2_mbox_priorbox"
+  bottom: "conv13_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_loss"
+  type: "MultiBoxLoss"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf"
+  bottom: "mbox_priorbox"
+  bottom: "label"
+  top: "mbox_loss"
+  include {
+    phase: TRAIN
+  }
+  propagate_down: true
+  propagate_down: true
+  propagate_down: false
+  propagate_down: false
+  loss_param {
+    normalization: VALID
+  }
+  multibox_loss_param {
+    loc_loss_type: SMOOTH_L1
+    conf_loss_type: SOFTMAX
+    loc_weight: 1.0
+    num_classes: 21
+    share_location: true
+    match_type: PER_PREDICTION
+    overlap_threshold: 0.5
+    use_prior_for_matching: true
+    background_label_id: 0
+    use_difficult_gt: true
+    neg_pos_ratio: 3.0
+    neg_overlap: 0.5
+    code_type: CENTER_SIZE
+    ignore_cross_boundary_bbox: false
+    mining_type: MAX_NEGATIVE
+  }
+}

From 3532b60934180d87553e0a31c3afad0fec7350be Mon Sep 17 00:00:00 2001
From: Dzmitry Kamarouski <dzkamarouski@gmail.com>
Date: Sun, 11 Mar 2018 01:28:43 +0300
Subject: [PATCH 3/6] Update caffe.proto

---
 src/caffe/proto/caffe.proto | 1 +
 1 file changed, 1 insertion(+)

diff --git a/src/caffe/proto/caffe.proto b/src/caffe/proto/caffe.proto
index cfbfdb55c..169068755 100755
--- a/src/caffe/proto/caffe.proto
+++ b/src/caffe/proto/caffe.proto
@@ -1219,6 +1219,7 @@ message DetectionOutputParameter {
 
 message DropoutParameter {
   optional float dropout_ratio = 1 [default = 0.5]; // dropout ratio
+  optional bool sample_weights_test = 2 [default = false]; // Sample weights for testing or use the mean 
 }
 
 message SpatialDropoutParameter {

From 6cd34c7436a76c4a64196b028b48910e9c80379b Mon Sep 17 00:00:00 2001
From: Dzmitry Kamarouski <dzkamarouski@gmail.com>
Date: Sun, 11 Mar 2018 01:29:49 +0300
Subject: [PATCH 4/6] Update dropout_layer.cu

---
 src/caffe/layers/dropout_layer.cu | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/caffe/layers/dropout_layer.cu b/src/caffe/layers/dropout_layer.cu
index 186c10ca4..6cac942ad 100644
--- a/src/caffe/layers/dropout_layer.cu
+++ b/src/caffe/layers/dropout_layer.cu
@@ -20,7 +20,7 @@ void DropoutLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
   const Dtype* bottom_data = bottom[0]->gpu_data();
   Dtype* top_data = top[0]->mutable_gpu_data();
   const int count = bottom[0]->count();
-  if (this->phase_ == TRAIN) {
+  if (this->phase_ == TRAIN || this->layer_param_.dropout_param().sample_weights_test()) {
     unsigned int* mask =
         static_cast<unsigned int*>(rand_vec_.mutable_gpu_data());
     caffe_gpu_rng_uniform(count, mask);
@@ -50,7 +50,7 @@ void DropoutLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
   if (propagate_down[0]) {
     const Dtype* top_diff = top[0]->gpu_diff();
     Dtype* bottom_diff = bottom[0]->mutable_gpu_diff();
-    if (this->phase_ == TRAIN) {
+    if (this->phase_ == TRAIN || this->layer_param_.dropout_param().sample_weights_test()) {
       const unsigned int* mask =
           static_cast<const unsigned int*>(rand_vec_.gpu_data());
       const int count = bottom[0]->count();

From 7b10f6af69229f112105036812ebd71f7ddaa3a8 Mon Sep 17 00:00:00 2001
From: Dzmitry Kamarouski <dzkamarouski@gmail.com>
Date: Sun, 11 Mar 2018 01:30:20 +0300
Subject: [PATCH 5/6] Update dropout_layer.cpp

---
 src/caffe/layers/dropout_layer.cpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/caffe/layers/dropout_layer.cpp b/src/caffe/layers/dropout_layer.cpp
index c23c583de..57d1462c8 100644
--- a/src/caffe/layers/dropout_layer.cpp
+++ b/src/caffe/layers/dropout_layer.cpp
@@ -71,7 +71,7 @@ void DropoutLayer<Dtype>::Forward_cpu(const vector<Blob<Dtype>*>& bottom,
   Dtype* top_data = top[0]->mutable_cpu_data();
   unsigned int* mask = rand_vec_.mutable_cpu_data();
   const int count = bottom[0]->count();
-  if (this->phase_ == TRAIN) {
+  if (this->phase_ == TRAIN || this->layer_param_.dropout_param().sample_weights_test()) {
     // Create random numbers
     caffe_rng_bernoulli(count, 1. - threshold_, mask);
 #ifdef _OPENMP
@@ -92,7 +92,7 @@ void DropoutLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
   if (propagate_down[0]) {
     const Dtype* top_diff = top[0]->cpu_diff();
     Dtype* bottom_diff = bottom[0]->mutable_cpu_diff();
-    if (this->phase_ == TRAIN) {
+    if (this->phase_ == TRAIN || this->layer_param_.dropout_param().sample_weights_test()) {
       const unsigned int* mask = rand_vec_.cpu_data();
       const int count = bottom[0]->count();
 #ifdef _OPENMP

From 9f22046cef4dc8225564caa45c50ceb40b594f81 Mon Sep 17 00:00:00 2001
From: Dzmitry Kamarouski <dzkamarouski@gmail.com>
Date: Sun, 11 Mar 2018 01:36:54 +0300
Subject: [PATCH 6/6] Add files via upload

---
 .../ssd/alexnet_2classes_gray/deploy.prototxt | 1368 +++++++++++++++
 .../ssd/alexnet_2classes_gray/solver.prototxt |   24 +
 .../ssd/alexnet_2classes_gray/train.prototxt  | 1480 +++++++++++++++++
 3 files changed, 2872 insertions(+)
 create mode 100644 models/intel_optimized_models/ssd/alexnet_2classes_gray/deploy.prototxt
 create mode 100644 models/intel_optimized_models/ssd/alexnet_2classes_gray/solver.prototxt
 create mode 100644 models/intel_optimized_models/ssd/alexnet_2classes_gray/train.prototxt

diff --git a/models/intel_optimized_models/ssd/alexnet_2classes_gray/deploy.prototxt b/models/intel_optimized_models/ssd/alexnet_2classes_gray/deploy.prototxt
new file mode 100644
index 000000000..34e0b1988
--- /dev/null
+++ b/models/intel_optimized_models/ssd/alexnet_2classes_gray/deploy.prototxt
@@ -0,0 +1,1368 @@
+name: "AlexNet_VOC0712_SSD_300x300_deploy"
+input: "data"
+input_shape {
+  dim: 1
+  dim: 1
+  dim: 300
+  dim: 300
+}
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 96
+    kernel_size: 11
+    stride: 4
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}
+layer {
+  name: "norm1"
+  type: "LRN"
+  bottom: "conv1"
+  top: "norm1"
+  lrn_param {
+    local_size: 5
+    alpha: 0.0001
+    beta: 0.75
+    k: 2
+  }
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "norm1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "conv2"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "conv2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 2
+    kernel_size: 5
+    group: 2
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu2"
+  type: "ReLU"
+  bottom: "conv2"
+  top: "conv2"
+}
+layer {
+  name: "norm2"
+  type: "LRN"
+  bottom: "conv2"
+  top: "norm2"
+  lrn_param {
+    local_size: 5
+    alpha: 0.0001
+    beta: 0.75
+    k: 2
+  }
+}
+layer {
+  name: "pool2"
+  type: "Pooling"
+  bottom: "norm2"
+  top: "pool2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "conv3"
+  type: "Convolution"
+  bottom: "pool2"
+  top: "conv3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu3"
+  type: "ReLU"
+  bottom: "conv3"
+  top: "conv3"
+}
+layer {
+  name: "conv4"
+  type: "Convolution"
+  bottom: "conv3"
+  top: "conv4"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    group: 2
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu4"
+  type: "ReLU"
+  bottom: "conv4"
+  top: "conv4"
+}
+layer {
+  name: "conv5"
+  type: "Convolution"
+  bottom: "conv4"
+  top: "conv5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    group: 2
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu5"
+  type: "ReLU"
+  bottom: "conv5"
+  top: "conv5"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "conv5"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "fc6_conv"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fc6_conv"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 5
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+    dilation: 5
+  }
+}
+layer {
+  name: "relu6"
+  type: "ReLU"
+  bottom: "fc6_conv"
+  top: "fc6_conv"
+}
+layer {
+  name: "fc7_conv"
+  type: "Convolution"
+  bottom: "fc6_conv"
+  top: "fc7_conv"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu7"
+  type: "ReLU"
+  bottom: "fc7_conv"
+  top: "fc7_conv"
+}
+layer {
+  name: "conv6_1"
+  type: "Convolution"
+  bottom: "fc7_conv"
+  top: "conv6_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_1_relu"
+  type: "ReLU"
+  bottom: "conv6_1"
+  top: "conv6_1"
+}
+layer {
+  name: "conv6_2"
+  type: "Convolution"
+  bottom: "conv6_1"
+  top: "conv6_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_relu"
+  type: "ReLU"
+  bottom: "conv6_2"
+  top: "conv6_2"
+}
+layer {
+  name: "conv7_1"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv7_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_1_relu"
+  type: "ReLU"
+  bottom: "conv7_1"
+  top: "conv7_1"
+}
+layer {
+  name: "conv7_2"
+  type: "Convolution"
+  bottom: "conv7_1"
+  top: "conv7_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_relu"
+  type: "ReLU"
+  bottom: "conv7_2"
+  top: "conv7_2"
+}
+layer {
+  name: "conv8_1"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv8_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv8_1_relu"
+  type: "ReLU"
+  bottom: "conv8_1"
+  top: "conv8_1"
+}
+layer {
+  name: "conv8_2"
+  type: "Convolution"
+  bottom: "conv8_1"
+  top: "conv8_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv8_2_relu"
+  type: "ReLU"
+  bottom: "conv8_2"
+  top: "conv8_2"
+}
+layer {
+  name: "conv9_1"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv9_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv9_1_relu"
+  type: "ReLU"
+  bottom: "conv9_1"
+  top: "conv9_1"
+}
+layer {
+  name: "conv9_2"
+  type: "Convolution"
+  bottom: "conv9_1"
+  top: "conv9_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv9_2_relu"
+  type: "ReLU"
+  bottom: "conv9_2"
+  top: "conv9_2"
+}
+layer {
+  name: "conv2_norm"
+  type: "Normalize"
+  bottom: "conv2"
+  top: "conv2_norm"
+  norm_param {
+    across_spatial: false
+    scale_filler {
+      type: "constant"
+      value: 20
+    }
+    channel_shared: false
+  }
+}
+layer {
+  name: "conv2_norm_mbox_loc"
+  type: "Convolution"
+  bottom: "conv2_norm"
+  top: "conv2_norm_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv2_norm_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv2_norm_mbox_loc"
+  top: "conv2_norm_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv2_norm_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv2_norm_mbox_loc_perm"
+  top: "conv2_norm_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv2_norm_mbox_conf"
+  type: "Convolution"
+  bottom: "conv2_norm"
+  top: "conv2_norm_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 8
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv2_norm_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv2_norm_mbox_conf"
+  top: "conv2_norm_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv2_norm_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv2_norm_mbox_conf_perm"
+  top: "conv2_norm_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv2_norm_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv2_norm"
+  bottom: "data"
+  top: "conv2_norm_mbox_priorbox"
+  prior_box_param {
+    min_size: 30.0
+    max_size: 60.0
+    aspect_ratio: 2
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 8
+    offset: 0.5
+  }
+}
+layer {
+  name: "fc6_conv_mbox_loc"
+  type: "Convolution"
+  bottom: "fc6_conv"
+  top: "fc6_conv_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fc6_conv_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fc6_conv_mbox_loc"
+  top: "fc6_conv_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc6_conv_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fc6_conv_mbox_loc_perm"
+  top: "fc6_conv_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc6_conv_mbox_conf"
+  type: "Convolution"
+  bottom: "fc6_conv"
+  top: "fc6_conv_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 12
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fc6_conv_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fc6_conv_mbox_conf"
+  top: "fc6_conv_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc6_conv_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fc6_conv_mbox_conf_perm"
+  top: "fc6_conv_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc6_conv_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fc6_conv"
+  bottom: "data"
+  top: "fc6_conv_mbox_priorbox"
+  prior_box_param {
+    min_size: 60.0
+    max_size: 111.0
+    aspect_ratio: 2
+    aspect_ratio: 3
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 16
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_loc"
+  top: "conv6_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_loc_perm"
+  top: "conv6_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 12
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_conf"
+  top: "conv6_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_conf_perm"
+  top: "conv6_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv6_2"
+  bottom: "data"
+  top: "conv6_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 111.0
+    max_size: 162.0
+    aspect_ratio: 2
+    aspect_ratio: 3
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 32
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_loc"
+  top: "conv7_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_loc_perm"
+  top: "conv7_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 12
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_conf"
+  top: "conv7_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_conf_perm"
+  top: "conv7_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv7_2"
+  bottom: "data"
+  top: "conv7_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 162.0
+    max_size: 213.0
+    aspect_ratio: 2
+    aspect_ratio: 3
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 64
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_loc"
+  top: "conv8_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_loc_perm"
+  top: "conv8_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 8
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_conf"
+  top: "conv8_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_conf_perm"
+  top: "conv8_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv8_2"
+  bottom: "data"
+  top: "conv8_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 213.0
+    max_size: 264.0
+    aspect_ratio: 2
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 100
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_loc"
+  top: "conv9_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_loc_perm"
+  top: "conv9_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 8
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_conf"
+  top: "conv9_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_conf_perm"
+  top: "conv9_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv9_2"
+  bottom: "data"
+  top: "conv9_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 264.0
+    max_size: 315.0
+    aspect_ratio: 2
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 300
+    offset: 0.5
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "conv2_norm_mbox_loc_flat"
+  bottom: "fc6_conv_mbox_loc_flat"
+  bottom: "conv6_2_mbox_loc_flat"
+  bottom: "conv7_2_mbox_loc_flat"
+  bottom: "conv8_2_mbox_loc_flat"
+  bottom: "conv9_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "conv2_norm_mbox_conf_flat"
+  bottom: "fc6_conv_mbox_conf_flat"
+  bottom: "conv6_2_mbox_conf_flat"
+  bottom: "conv7_2_mbox_conf_flat"
+  bottom: "conv8_2_mbox_conf_flat"
+  bottom: "conv9_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "conv2_norm_mbox_priorbox"
+  bottom: "fc6_conv_mbox_priorbox"
+  bottom: "conv6_2_mbox_priorbox"
+  bottom: "conv7_2_mbox_priorbox"
+  bottom: "conv8_2_mbox_priorbox"
+  bottom: "conv9_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_reshape"
+  type: "Reshape"
+  bottom: "mbox_conf"
+  top: "mbox_conf_reshape"
+  reshape_param {
+    shape {
+      dim: 0
+      dim: -1
+      dim: 2
+    }
+  }
+}
+layer {
+  name: "mbox_conf_softmax"
+  type: "Softmax"
+  bottom: "mbox_conf_reshape"
+  top: "mbox_conf_softmax"
+  softmax_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_flatten"
+  type: "Flatten"
+  bottom: "mbox_conf_softmax"
+  top: "mbox_conf_flatten"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "detection_out"
+  type: "DetectionOutput"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf_flatten"
+  bottom: "mbox_priorbox"
+  top: "detection_out"
+  detection_output_param {
+    num_classes: 2
+    share_location: true
+    background_label_id: 0
+    nms_param {
+      nms_threshold: 0.45
+      top_k: 400
+    }
+    code_type: CENTER_SIZE
+    keep_top_k: 200
+    confidence_threshold: 0.01
+  }
+}
+
diff --git a/models/intel_optimized_models/ssd/alexnet_2classes_gray/solver.prototxt b/models/intel_optimized_models/ssd/alexnet_2classes_gray/solver.prototxt
new file mode 100644
index 000000000..276168140
--- /dev/null
+++ b/models/intel_optimized_models/ssd/alexnet_2classes_gray/solver.prototxt
@@ -0,0 +1,24 @@
+train_net: "models/AlexNet/VOC0712/SSD_300x300/train.prototxt"
+base_lr: 0.00025
+display: 10
+max_iter: 300000
+lr_policy: "multistep"
+gamma: 0.1
+momentum: 0.9
+weight_decay: 0.0005
+snapshot: 50000
+snapshot_prefix: "models/AlexNet/VOC0712/SSD_300x300_boost"
+solver_mode: CPU
+device_id: 0
+debug_info: false
+snapshot_after_train: true
+test_initialization: false
+average_loss: 10
+stepvalue: 80000
+stepvalue: 100000
+stepvalue: 120000
+iter_size: 1
+type: "SGD"
+eval_type: "detection"
+ap_version: "11point"
+
diff --git a/models/intel_optimized_models/ssd/alexnet_2classes_gray/train.prototxt b/models/intel_optimized_models/ssd/alexnet_2classes_gray/train.prototxt
new file mode 100644
index 000000000..79b1d586b
--- /dev/null
+++ b/models/intel_optimized_models/ssd/alexnet_2classes_gray/train.prototxt
@@ -0,0 +1,1480 @@
+name: "AlexNet_VOC0712_SSD_300x300_train"
+layer {
+  name: "data"
+  type: "AnnotatedData"
+  top: "data"
+  top: "label"
+  include {
+    phase: TRAIN
+  }
+  transform_param {
+    mirror: true
+    mean_value: 128
+    resize_param {
+      prob: 1
+      resize_mode: WARP
+      height: 300
+      width: 300
+      interp_mode: LINEAR
+      interp_mode: AREA
+      interp_mode: NEAREST
+      interp_mode: CUBIC
+      interp_mode: LANCZOS4
+    }
+    emit_constraint {
+      emit_type: CENTER
+    }
+    distort_param {
+      brightness_prob: 0.5
+      brightness_delta: 32
+      contrast_prob: 0.5
+      contrast_lower: 0.5
+      contrast_upper: 1.5
+      hue_prob: 0.5
+      hue_delta: 18
+      saturation_prob: 0.5
+      saturation_lower: 0.5
+      saturation_upper: 1.5
+      random_order_prob: 0.0
+    }
+    expand_param {
+      prob: 0.5
+      max_expand_ratio: 4.0
+    }
+  }
+  data_param {
+    source: "examples/copter/copter_trainval_lmdb"
+    batch_size: 3
+    backend: LMDB
+  }
+  annotated_data_param {
+    batch_sampler {
+      max_sample: 1
+      max_trials: 1
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.1
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.3
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.5
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.7
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.9
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.3
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        max_jaccard_overlap: 1.0
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    label_map_file: "data/copter/labelmap.prototxt"
+  }
+}
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 96
+    kernel_size: 11
+    stride: 4
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}
+layer {
+  name: "norm1"
+  type: "LRN"
+  bottom: "conv1"
+  top: "norm1"
+  lrn_param {
+    local_size: 5
+    alpha: 0.0001
+    beta: 0.75
+    k: 2
+  }
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "norm1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "conv2"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "conv2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 2
+    kernel_size: 5
+    group: 2
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu2"
+  type: "ReLU"
+  bottom: "conv2"
+  top: "conv2"
+}
+layer {
+  name: "norm2"
+  type: "LRN"
+  bottom: "conv2"
+  top: "norm2"
+  lrn_param {
+    local_size: 5
+    alpha: 0.0001
+    beta: 0.75
+    k: 2
+  }
+}
+layer {
+  name: "pool2"
+  type: "Pooling"
+  bottom: "norm2"
+  top: "pool2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}
+layer {
+  name: "conv3"
+  type: "Convolution"
+  bottom: "pool2"
+  top: "conv3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu3"
+  type: "ReLU"
+  bottom: "conv3"
+  top: "conv3"
+}
+layer {
+  name: "conv4"
+  type: "Convolution"
+  bottom: "conv3"
+  top: "conv4"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 384
+    pad: 1
+    kernel_size: 3
+    group: 2
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu4"
+  type: "ReLU"
+  bottom: "conv4"
+  top: "conv4"
+}
+layer {
+  name: "conv5"
+  type: "Convolution"
+  bottom: "conv4"
+  top: "conv5"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    group: 2
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu5"
+  type: "ReLU"
+  bottom: "conv5"
+  top: "conv5"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "conv5"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "fc6_conv"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fc6_conv"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 5
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+    dilation: 5
+  }
+}
+layer {
+  name: "relu6"
+  type: "ReLU"
+  bottom: "fc6_conv"
+  top: "fc6_conv"
+}
+layer {
+  name: "fc7_conv"
+  type: "Convolution"
+  bottom: "fc6_conv"
+  top: "fc7_conv"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu7"
+  type: "ReLU"
+  bottom: "fc7_conv"
+  top: "fc7_conv"
+}
+layer {
+  name: "conv6_1"
+  type: "Convolution"
+  bottom: "fc7_conv"
+  top: "conv6_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_1_relu"
+  type: "ReLU"
+  bottom: "conv6_1"
+  top: "conv6_1"
+}
+layer {
+  name: "conv6_2"
+  type: "Convolution"
+  bottom: "conv6_1"
+  top: "conv6_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_relu"
+  type: "ReLU"
+  bottom: "conv6_2"
+  top: "conv6_2"
+}
+layer {
+  name: "conv7_1"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv7_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_1_relu"
+  type: "ReLU"
+  bottom: "conv7_1"
+  top: "conv7_1"
+}
+layer {
+  name: "conv7_2"
+  type: "Convolution"
+  bottom: "conv7_1"
+  top: "conv7_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_relu"
+  type: "ReLU"
+  bottom: "conv7_2"
+  top: "conv7_2"
+}
+layer {
+  name: "conv8_1"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv8_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv8_1_relu"
+  type: "ReLU"
+  bottom: "conv8_1"
+  top: "conv8_1"
+}
+layer {
+  name: "conv8_2"
+  type: "Convolution"
+  bottom: "conv8_1"
+  top: "conv8_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv8_2_relu"
+  type: "ReLU"
+  bottom: "conv8_2"
+  top: "conv8_2"
+}
+layer {
+  name: "conv9_1"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv9_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv9_1_relu"
+  type: "ReLU"
+  bottom: "conv9_1"
+  top: "conv9_1"
+}
+layer {
+  name: "conv9_2"
+  type: "Convolution"
+  bottom: "conv9_1"
+  top: "conv9_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv9_2_relu"
+  type: "ReLU"
+  bottom: "conv9_2"
+  top: "conv9_2"
+}
+layer {
+  name: "conv2_norm"
+  type: "Normalize"
+  bottom: "conv2"
+  top: "conv2_norm"
+  norm_param {
+    across_spatial: false
+    scale_filler {
+      type: "constant"
+      value: 20
+    }
+    channel_shared: false
+  }
+}
+layer {
+  name: "conv2_norm_mbox_loc"
+  type: "Convolution"
+  bottom: "conv2_norm"
+  top: "conv2_norm_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv2_norm_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv2_norm_mbox_loc"
+  top: "conv2_norm_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv2_norm_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv2_norm_mbox_loc_perm"
+  top: "conv2_norm_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv2_norm_mbox_conf"
+  type: "Convolution"
+  bottom: "conv2_norm"
+  top: "conv2_norm_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 8
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv2_norm_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv2_norm_mbox_conf"
+  top: "conv2_norm_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv2_norm_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv2_norm_mbox_conf_perm"
+  top: "conv2_norm_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv2_norm_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv2_norm"
+  bottom: "data"
+  top: "conv2_norm_mbox_priorbox"
+  prior_box_param {
+    min_size: 30.0
+    max_size: 60.0
+    aspect_ratio: 2
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 8
+    offset: 0.5
+  }
+}
+layer {
+  name: "fc6_conv_mbox_loc"
+  type: "Convolution"
+  bottom: "fc6_conv"
+  top: "fc6_conv_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fc6_conv_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fc6_conv_mbox_loc"
+  top: "fc6_conv_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc6_conv_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fc6_conv_mbox_loc_perm"
+  top: "fc6_conv_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc6_conv_mbox_conf"
+  type: "Convolution"
+  bottom: "fc6_conv"
+  top: "fc6_conv_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 12
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fc6_conv_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fc6_conv_mbox_conf"
+  top: "fc6_conv_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc6_conv_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fc6_conv_mbox_conf_perm"
+  top: "fc6_conv_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc6_conv_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fc6_conv"
+  bottom: "data"
+  top: "fc6_conv_mbox_priorbox"
+  prior_box_param {
+    min_size: 60.0
+    max_size: 111.0
+    aspect_ratio: 2
+    aspect_ratio: 3
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 16
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_loc"
+  top: "conv6_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_loc_perm"
+  top: "conv6_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 12
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_conf"
+  top: "conv6_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_conf_perm"
+  top: "conv6_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv6_2"
+  bottom: "data"
+  top: "conv6_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 111.0
+    max_size: 162.0
+    aspect_ratio: 2
+    aspect_ratio: 3
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 32
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_loc"
+  top: "conv7_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_loc_perm"
+  top: "conv7_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 12
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_conf"
+  top: "conv7_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_conf_perm"
+  top: "conv7_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv7_2"
+  bottom: "data"
+  top: "conv7_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 162.0
+    max_size: 213.0
+    aspect_ratio: 2
+    aspect_ratio: 3
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 64
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_loc"
+  top: "conv8_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_loc_perm"
+  top: "conv8_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 8
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_conf"
+  top: "conv8_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_conf_perm"
+  top: "conv8_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv8_2"
+  bottom: "data"
+  top: "conv8_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 213.0
+    max_size: 264.0
+    aspect_ratio: 2
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 100
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_loc"
+  top: "conv9_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_loc_perm"
+  top: "conv9_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 8
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_conf"
+  top: "conv9_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_conf_perm"
+  top: "conv9_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv9_2"
+  bottom: "data"
+  top: "conv9_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 264.0
+    max_size: 315.0
+    aspect_ratio: 2
+    flip: true
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 300
+    offset: 0.5
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "conv2_norm_mbox_loc_flat"
+  bottom: "fc6_conv_mbox_loc_flat"
+  bottom: "conv6_2_mbox_loc_flat"
+  bottom: "conv7_2_mbox_loc_flat"
+  bottom: "conv8_2_mbox_loc_flat"
+  bottom: "conv9_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+  }
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "conv2_norm_mbox_conf_flat"
+  bottom: "fc6_conv_mbox_conf_flat"
+  bottom: "conv6_2_mbox_conf_flat"
+  bottom: "conv7_2_mbox_conf_flat"
+  bottom: "conv8_2_mbox_conf_flat"
+  bottom: "conv9_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+  }
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "conv2_norm_mbox_priorbox"
+  bottom: "fc6_conv_mbox_priorbox"
+  bottom: "conv6_2_mbox_priorbox"
+  bottom: "conv7_2_mbox_priorbox"
+  bottom: "conv8_2_mbox_priorbox"
+  bottom: "conv9_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+  }
+layer {
+  name: "mbox_loss"
+  type: "MultiBoxLoss"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf"
+  bottom: "mbox_priorbox"
+  bottom: "label"
+  top: "mbox_loss"
+  include {
+    phase: TRAIN
+  }
+  propagate_down: true
+  propagate_down: true
+  propagate_down: false
+  propagate_down: false
+  loss_param {
+    normalization: VALID
+  }
+  multibox_loss_param {
+    loc_loss_type: SMOOTH_L1
+    conf_loss_type: SOFTMAX
+    loc_weight: 1.0
+    num_classes: 2
+    share_location: true
+    match_type: PER_PREDICTION
+    overlap_threshold: 0.5
+    use_prior_for_matching: true
+    background_label_id: 0
+    use_difficult_gt: true
+    neg_pos_ratio: 3.0
+    neg_overlap: 0.5
+    code_type: CENTER_SIZE
+    ignore_cross_boundary_bbox: false
+    mining_type: MAX_NEGATIVE
+  }
+}
+