caffe_error_log.txt

I0322 23:04:55.893093 32722 caffe.cpp:117] Use CPU.
I0322 23:04:55.894064 32722 caffe.cpp:121] Starting Optimization
I0322 23:04:55.894438 32722 solver.cpp:32] Initializing solver from parameters: 
test_iter: 100
test_interval: 500
base_lr: 0.01
display: 100
max_iter: 10000
lr_policy: "inv"
gamma: 0.0001
power: 0.75
momentum: 0.9
weight_decay: 0.0005
snapshot: 5000
snapshot_prefix: "lenet"
solver_mode: CPU
net: "lenet_train_test_modified.prototxt"
I0322 23:04:55.894565 32722 solver.cpp:70] Creating training net from net file: lenet_train_test_modified.prototxt
E0322 23:04:55.896198 32722 upgrade_proto.cpp:618] Attempting to upgrade input file specified using deprecated V1LayerParameter: lenet_train_test_modified.prototxt
I0322 23:04:55.897217 32722 upgrade_proto.cpp:626] Successfully upgraded file specified using deprecated V1LayerParameter
I0322 23:04:55.897526 32722 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer mnist
I0322 23:04:55.897626 32722 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy
I0322 23:04:55.898342 32722 net.cpp:42] Initializing net from parameters: 
name: "LeNet"
state {
  phase: TRAIN
}
layer {
  name: "mnist"
  type: "ImageData"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    scale: 0.00390625
  }
  image_data_param {
    source: "mnist_train_index.txt"
    batch_size: 64
    is_color: false
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 20
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 50
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ip1"
  type: "InnerProduct"
  bottom: "pool2"
  top: "ip1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  inner_product_param {
    num_output: 500
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "ip1"
  top: "ip1"
}
layer {
  name: "ip2"
  type: "InnerProduct"
  bottom: "ip1"
  top: "ip2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  inner_product_param {
    num_output: 10
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "ip2"
  bottom: "label"
  top: "loss"
}
I0322 23:04:55.898717 32722 layer_factory.hpp:74] Creating layer mnist
I0322 23:04:55.898838 32722 net.cpp:84] Creating Layer mnist
I0322 23:04:55.898955 32722 net.cpp:338] mnist -> data
I0322 23:04:55.899097 32722 net.cpp:338] mnist -> label
I0322 23:04:55.899179 32722 net.cpp:113] Setting up mnist
I0322 23:04:55.899237 32722 image_data_layer.cpp:36] Opening file mnist_train_index.txt
I0322 23:04:56.058006 32722 image_data_layer.cpp:51] A total of 60000 images.
I0322 23:04:56.059156 32722 image_data_layer.cpp:80] output data size: 64,1,12,12
I0322 23:04:56.059674 32722 net.cpp:120] Top shape: 64 1 12 12 (9216)
I0322 23:04:56.059798 32722 net.cpp:120] Top shape: 64 (64)
I0322 23:04:56.059921 32722 layer_factory.hpp:74] Creating layer conv1
I0322 23:04:56.060101 32722 net.cpp:84] Creating Layer conv1
I0322 23:04:56.060197 32722 net.cpp:380] conv1 <- data
I0322 23:04:56.060328 32722 net.cpp:338] conv1 -> conv1
I0322 23:04:56.060468 32722 net.cpp:113] Setting up conv1
I0322 23:04:56.063215 32722 net.cpp:120] Top shape: 64 20 8 8 (81920)
I0322 23:04:56.063557 32722 layer_factory.hpp:74] Creating layer pool1
I0322 23:04:56.063671 32722 net.cpp:84] Creating Layer pool1
I0322 23:04:56.063751 32722 net.cpp:380] pool1 <- conv1
I0322 23:04:56.063868 32722 net.cpp:338] pool1 -> pool1
I0322 23:04:56.064019 32722 net.cpp:113] Setting up pool1
I0322 23:04:56.064280 32722 net.cpp:120] Top shape: 64 20 4 4 (20480)
I0322 23:04:56.064368 32722 layer_factory.hpp:74] Creating layer conv2
I0322 23:04:56.064471 32722 net.cpp:84] Creating Layer conv2
I0322 23:04:56.064546 32722 net.cpp:380] conv2 <- pool1
I0322 23:04:56.064656 32722 net.cpp:338] conv2 -> conv2
I0322 23:04:56.064790 32722 net.cpp:113] Setting up conv2
F0322 23:04:56.067253 32722 blob.cpp:101] Check failed: data_ 
*** Check failure stack trace: ***
    @     0x7f616bea10ee  (unknown)
    @     0x7f616bea2f23  (unknown)
    @     0x7f616bea0d0a  (unknown)
    @     0x7f616bea378f  (unknown)
    @     0x7f616c2ca50e  (unknown)
    @     0x7f616c2920d5  (unknown)
    @     0x7f616c1e97d6  (unknown)
    @     0x7f616c1ebd03  (unknown)
    @     0x7f616c2080c8  (unknown)
    @     0x7f616c2085e9  (unknown)
    @     0x7f616c2089e8  (unknown)
    @           0x40e507  (unknown)
    @           0x40e7d9  (unknown)
    @           0x408182  (unknown)
    @           0x40615a  (unknown)
    @     0x7f616b3d6dc6  (unknown)
    @           0x406535  (unknown)