Getting error on [base_conv_layer.cpp:122] Check failed: channels_ % group_ == 0 (1 vs. 0) , how to solve it?

Question

When I am trying to train FCN32 for semantic segmentation on my own data, I am getting this error:

    I0106 12:57:53.273977 19825 net.cpp:100] Creating Layer upscore_sign 
    I0106 12:57:53.273982 19825 net.cpp:434] upscore_sign <- score_fr_sign
    I0106 12:57:53.274001 19825 net.cpp:408] upscore_sign -> upscore_sign
    F0106 12:57:53.274119 19825 base_conv_layer.cpp:122] Check failed: channels_ % group_ == 0 (1 vs. 0) 
    *** Check failure stack trace: ***
        @     0x7f2602e525cd  google::LogMessage::Fail()
        @     0x7f2602e54433  google::LogMessage::SendToLog()
        @     0x7f2602e5215b  google::LogMessage::Flush()
        @     0x7f2602e54e1e  google::LogMessageFatal::~LogMessageFatal()
        @     0x7f260350701b  caffe::BaseConvolutionLayer<>::LayerSetUp()
        @     0x7f26033ee557  caffe::Net<>::Init()
        @     0x7f26033efde1  caffe::Net<>::Net()
        @     0x7f26033c5d4a  caffe::Solver<>::InitTrainNet()
        @     0x7f26033c7157  caffe::Solver<>::Init()
        @     0x7f26033c74fa  caffe::Solver<>::Solver()
        @     0x7f2603400353  caffe::Creator_SGDSolver<>()
        @           0x40c07a  train()
        @           0x408748  main
        @     0x7f26014f3830  __libc_start_main
        @           0x409019  _start
        @              (nil)  (unknown)

I have not included the creation of previous layers. But it seems net creates previous layers successfully, and it reaches to the Creating Layer upscore_sign, the error comes. I changed solver as follows:

net: "train_val.prototxt"
#test_net: "val.prototxt"
test_iter: 200 #3000 #5105
# make test net, but don't invoke it from the solver itself
test_interval: 1000
display: 20
average_loss: 20
lr_policy: "step" #"fixed"
# lr for unnormalized softmax
base_lr: 1e-10
# high momentum
momentum: 0.99
# no gradient accumulation
iter_size: 1
max_iter: 300000
weight_decay: 0.0005
snapshot: 2000 #10000
snapshot_prefix: "snapshot/FCN32s_train"
test_initialization: false
solver_mode: GPU   #+

and I changed the number of outputs from 60 to 5 (based on the number of classes in my data): convolution_param {num_output: 5 }

Can someone suggest any solution or idea about this? What I have set/changed wrongly? What/where is my mistake?

Your help is appreciated.

Answer 1

Check failed: channels_ % group_ == 0 (1 vs. 0) This line really matters! You should check your num_output and group and find out if channels_ % group_ == 0.