Unknown bottom blob 'data' (layer 'con

Question

Trying to train LeNet on my own dataset. I generated HDF5 file from my long 1D vectordata set and created HDF5 data layer as follows: I named the top blobs same as I did when I generate my HDF5.

name: "Test_net"
layer {
  name: "data"
  type: "HDF5Data"
  top: "Inputdata"
  top: "label"
  hdf5_data_param {
    source:"~/*_hdf5_train.txt"
    batch_size: 32
  }
  include{phase: TRAIN}
}
layer {
  name: "data2"
  type: "HDF5Data"
  top: "Inputdata"
  top: "label"
  hdf5_data_param {
    source:"~/*_hdf5_test.txt"
    batch_size: 32
  }
  include{phase: TEST}
}
layer {
  name: "conv1"
  type: "convolution"
  bottom: "data"
  top: "conv1"
  param {lr_mult:1}
  param {lr_mult:2}
  convolution_param{
    num_output: 20
    kernel_h: 1
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    weight_filler {
      type: "xavier"     
    }
    bias_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "pool1"
  type: "pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param{
    pool: MAX
    kernel_h: 1
    kernel_w: 2
    stride_h: 1
    stride_w: 2
  }
}
# more layers here...
layer{
  name: "loss"
  type: "SigmoidCrossEntropyLoss"
  bottom: "ip2"
  bottom: "label"
  top: "loss"
}

But then when I tried to train I am having the following error from insert_split.cpp.

insert_splits.cpp:29] Unknown bottom blob 'data' (layer 'conv1',   bottom     index 0)
  *** Check failure stack trace: ***
  @     0x7f19d7e735cd  google::LogMessage::Fail()
  @     0x7f19d7e75433  google::LogMessage::SendToLog()
  @     0x7f19d7e7315b  google::LogMessage::Flush()
  @     0x7f19d7e75e1e  google::LogMessageFatal::~LogMessageFatal()
  @     0x7f19d82684dc  caffe::InsertSplits()
  @     0x7f19d8230d5e  caffe::Net<>::Init()
  @     0x7f19d8233f21  caffe::Net<>::Net()
  @     0x7f19d829c68a  caffe::Solver<>::InitTrainNet()
  @     0x7f19d829d9f7  caffe::Solver<>::Init()
  @     0x7f19d829dd9a  caffe::Solver<>::Solver()
  @     0x7f19d8211683  caffe::Creator_SGDSolver<>()
  @           0x40a6c9  train()
  @           0x4071c0  main
  @     0x7f19d6dc8830  __libc_start_main
  @           0x4079e9  _start
  @              (nil)  (unknown)
 Aborted (core dumped)

What did I do wrong?

Cheers,

Answer 1

Your data layer outputs two "blobs": "label" and "Inputdata". Your "conv1" layer expects as input a "blob" named "data". Caffe does not know that you meant "Inputdata" and "data" to be the same blob...
Now, since you already saved the hdf5 files with "Inputdata" name, you cannot change this name in the "HDF5Data" layer, what you can do is change "data" to "Inputdata" in the "bottom" of "conv1" layer.

---

PS,
Your loss layer requires two "bottom"s: ip2 and label you forgot to feed.