Check failed: MaxBottomBlobs() >= bottom.size() (2 vs. 3) L1Loss Layer takes at most 2 bottom blob(s) as input.

[TrackingBird]

Dear sir, sorry to bother you. I have meet an error when I fine-tune your code with my dataset. The error is: F0427 17:12:09.233387 607 layer.hpp:404] Check failed: MaxBottomBlobs() >= bottom.size() (2 vs. 3) L1Loss Layer takes at most 2 bottom blob(s) as input.

I0427 17:12:09.233264   607 net.cpp:149] Top shape: 4 1 192 384 (294912)
I0427 17:12:09.233271   607 net.cpp:149] Top shape: 4 1 192 384 (294912)
I0427 17:12:09.233276   607 net.cpp:149] Top shape: 4 1 192 384 (294912)
I0427 17:12:09.233283   607 net.cpp:149] Top shape: 4 1 192 384 (294912)
I0427 17:12:09.233288   607 net.cpp:149] Top shape: 4 1 192 384 (294912)
I0427 17:12:09.233291   607 net.cpp:157] Memory required for data: 2190802964
I0427 17:12:09.233299   607 layer_factory.hpp:77] Creating layer flow_loss1
I0427 17:12:09.233316   607 net.cpp:91] Creating Layer flow_loss1
I0427 17:12:09.233325   607 net.cpp:426] flow_loss1 <- blob66_NegReLU6_0_split_0
I0427 17:12:09.233337   607 net.cpp:426] flow_loss1 <- blob65
I0427 17:12:09.233346   607 net.cpp:426] flow_loss1 <- blob65Confidence
I0427 17:12:09.233358   607 net.cpp:400] flow_loss1 -> flow_loss1
F0427 17:12:09.233387   607 layer.hpp:404] Check failed: MaxBottomBlobs() >= bottom.size() (2 vs. 3) L1Loss Layer takes at most 2 bottom blob(s) as input.
*** Check failure stack trace: ***
    @     0x7fd1a56dd5cd  google::LogMessage::Fail()
    @     0x7fd1a56df433  google::LogMessage::SendToLog()
    @     0x7fd1a56dd15b  google::LogMessage::Flush()
    @     0x7fd1a56dfe1e  google::LogMessageFatal::~LogMessageFatal()
    @     0x7fd1a5f92ff7  caffe::Layer<>::CheckBlobCounts()
    @     0x7fd1a5f92113  caffe::Layer<>::SetUp()
    @     0x7fd1a60aea08  caffe::Net<>::Init()
    @     0x7fd1a60acd51  caffe::Net<>::Net()
    @     0x7fd1a60e0101  caffe::Solver<>::InitTrainNet()
    @     0x7fd1a60df8ea  caffe::Solver<>::Init()
    @     0x7fd1a60df334  caffe::Solver<>::Solver()
    @     0x7fd1a60ed31b  caffe::SGDSolver<>::SGDSolver()
    @     0x7fd1a60f1e04  caffe::AdamSolver<>::AdamSolver()
    @     0x7fd1a60f2d38  caffe::Creator_AdamSolver<>()
    @           0x420d66  caffe::SolverRegistry<>::CreateSolver()
    @           0x41c0c4  train()
    @           0x41e639  main
    @     0x7fd1a4191830  __libc_start_main
    @           0x41ae39  _start
    @              (nil)  (unknown)
已放弃 (核心已转储)

Have you ever met this error again? Thanks very much.

[TrackingBird]

Dear sir, in train.prototxt about line 1670, there are three bottom input:

  name: "flow_loss1"
  type: "L1Loss"
  #bottom: "predict_flow1"
  bottom: "blob66"
  bottom: "blob65"
  bottom: "blob65Confidence"
  top: "flow_loss1"
  loss_weight: 1
  l1_loss_param {
    l2_per_location: false
    normalize_by_num_entries: true
  }
}

When bottom: "blob65" was commented, the error about MaxBottomBlobs() >= bottom.size() (2 vs. 3) L1Loss Layer takes at most 2 bottom blob(s) as input. #6is solved.

  name: "flow_loss1"
  type: "L1Loss"
  #bottom: "predict_flow1"
  bottom: "blob66"
  #bottom: "blob65"
  bottom: "blob65Confidence"
  top: "flow_loss1"
  loss_weight: 1
  l1_loss_param {
    l2_per_location: false
    normalize_by_num_entries: true
  }
}

Can you give me some suggestion about how to change flow_loss1 layer? Thanks.

[AlessioTonioni]

Are you sure to be using our implementation of L1Loss layer? One of the difference between our code and the original flownet one is indeed the number of bottom blob allowed.