未知的底部 blob“数据”（层“conv1”，底部索引 0）

尝试在我自己的数据集上训练 LeNet。我从长一维矢量数据集生成了 HD​​F5 文件，并创建了 HDF5 数据层，如下所示：我对顶部 blob 的命名与生成 HDF5 时的命名相同。

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"
}

但是当我尝试训练时出现以下错误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)

我做错了什么？

Cheers,

您的数据层输出两个“blob”："label" and "Inputdata". Your "conv1"层期望作为输入名为“blob”"data"。 Caffe 不知道你的意思"Inputdata" and "data"成为同一个斑点...
现在，由于您已经保存了 hdf5 文件"Inputdata"名称，您不能在"HDF5Data"层，你能做的就是改变"data" to "Inputdata"在“底部”"conv1" layer.

PS,
你的损失层需要两个“底部”：ip2 and label你忘了喂食。