I0104 11:00:32.526469 10426 solver.cpp:32] Initializing solver from parameters: 
train_net: "/home/algorithms/Dropbox/Deep_Learning/Stacked_Autoencoders/stacked_autoencoders_train.prototxt"
test_net: "/home/algorithms/Dropbox/Deep_Learning/Stacked_Autoencoders/stacked_autoencoders_test.prototxt"
test_iter: 200
test_interval: 1000
base_lr: 0.01
display: 100
max_iter: 8000000
lr_policy: "step"
gamma: 0.1
momentum: 0.9
weight_decay: 0.005
stepsize: 100000
snapshot: 1000
snapshot_prefix: "/home/algorithms/Organ_Detection/Stacked_Autoencoders/snapshot"
I0104 11:00:32.526511 10426 solver.cpp:61] Creating training net from train_net file: /home/algorithms/Dropbox/Deep_Learning/Stacked_Autoencoders/stacked_autoencoders_train.prototxt
I0104 11:00:32.528460 10426 net.cpp:42] Initializing net from parameters: 
state {
  phase: TRAIN
}
layer {
  name: "data"
  type: "HDF5Data"
  top: "data"
  top: "label"
  top: "data_additional"
  hdf5_data_param {
    source: "/home/algorithms/Organ_Detection/Data_HDF5/train.txt"
    batch_size: 1000
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  convolution_param {
    num_output: 32
    pad: 2
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 1
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "pool1"
  top: "pool1"
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2"
  convolution_param {
    num_output: 32
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu2"
  type: "ReLU"
  bottom: "conv2"
  top: "conv2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 1
  }
}
layer {
  name: "flatten"
  type: "Flatten"
  bottom: "pool2"
  top: "flatten"
}
layer {
  name: "concat"
  type: "Concat"
  bottom: "flatten"
  bottom: "data_additional"
  top: "concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "ip3"
  type: "InnerProduct"
  bottom: "concat"
  top: "ip3"
  inner_product_param {
    num_output: 50
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "ip3"
  top: "ip3"
}
layer {
  name: "drop3"
  type: "Dropout"
  bottom: "ip3"
  top: "ip3"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "ip4"
  type: "InnerProduct"
  bottom: "ip3"
  top: "ip4"
  inner_product_param {
    num_output: 50
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "ip4"
  bottom: "label"
  top: "loss"
}
I0104 11:00:32.528559 10426 layer_factory.hpp:74] Creating layer data
I0104 11:00:32.529665 10426 net.cpp:90] Creating Layer data
I0104 11:00:32.529676 10426 net.cpp:368] data -> data
I0104 11:00:32.529690 10426 net.cpp:368] data -> label
I0104 11:00:32.529695 10426 net.cpp:368] data -> data_additional
I0104 11:00:32.529702 10426 net.cpp:120] Setting up data
I0104 11:00:32.529706 10426 hdf5_data_layer.cpp:80] Loading list of HDF5 filenames from: /home/algorithms/Organ_Detection/Data_HDF5/train.txt
I0104 11:00:32.529731 10426 hdf5_data_layer.cpp:94] Number of HDF5 files: 1
F0104 11:00:32.530699 10426 blob.cpp:29] Check failed: shape[i] <= 2147483647 / count_ (21 vs. 12) blob size exceeds INT_MAX
*** Check failure stack trace: ***
[I 11:00:33.062 NotebookApp] KernelRestarter: restarting kernel (1/5)
WARNING:root:kernel c6cda1b9-9d59-4c5d-bbbe-ed605e78b5a7 restarted