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cabrust avatar cabrust commented on May 26, 2024

Hi,
it could. Could you attach a stack trace?

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zygmuntz avatar zygmuntz commented on May 26, 2024
 > test

DBG [ Trainer::Reset(80) ] Resetting Trainer state
DBG [ DatasetInputLayer::SetTestingMode(242) ] Enabled testing mode.
DBG [ Trainer::Test(90) ]
Program received signal SIGBUS, Bus error.
0x00007ffff7b7be43 in Conv::Tensor::CopyMap(Conv::Tensor const&, unsigned long, unsigned long, Conv::Tensor&, unsigned long, unsigned long) () from /home/ubuntu/cn24/libcn24.so
(gdb)  bt
#0  0x00007ffff7b7be43 in Conv::Tensor::CopyMap(Conv::Tensor const&, unsigned long, unsigned long, Conv::Tensor&, unsigned long, unsigned long) () from /home/ubuntu/cn24/libcn24.so
#1  0x00007ffff7b7bcab in Conv::Tensor::CopySample(Conv::Tensor const&, unsigned long, Conv::Tensor&, unsigned long) () from /home/ubuntu/cn24/libcn24.so
#2  0x00007ffff7b6d398 in Conv::TensorStreamDataset::GetTestingSample(Conv::Tensor&, Conv::Tensor&, Conv::Tensor&, Conv::Tensor&, unsigned int, unsigned int) () from /home/ubuntu/cn24/libcn24.so
#3  0x00007ffff7ba8baa in Conv::DatasetInputLayer::FeedForward() () from /home/ubuntu/cn24/libcn24.so
#4  0x00007ffff7b8bec3 in Conv::NetGraph::FeedForward(Conv::NetGraphNode*) ()
   from /home/ubuntu/cn24/libcn24.so
#5  0x00007ffff7b8bd89 in Conv::NetGraph::FeedForward(std::vector<Conv::NetGraphNode*, std::allocator<Conv::NetGraphNode*> >&, bool) () from /home/ubuntu/cn24/libcn24.so
#6  0x00007ffff7b8bcb4 in Conv::NetGraph::FeedForward() () from /home/ubuntu/cn24/libcn24.so
#7  0x00007ffff7b84d1b in Conv::Trainer::Test() () from /home/ubuntu/cn24/libcn24.so
#8  0x000000000040d04d in parseCommand(Conv::NetGraph&, Conv::NetGraph&, Conv::Trainer&, Conv::Trainer&, bool, std::string&) ()
#9  0x000000000040bdf9 in main ()

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zygmuntz avatar zygmuntz commented on May 26, 2024

Confirmed that it has to do with test set size. Well, I guess one just has to use small sets for testing.

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cabrust avatar cabrust commented on May 26, 2024

Just for reference, we have no problems using >70GB datasets without any special measures. You may want to check your system configuration because CN24 does not do anything out of the ordinary in terms of system calls.

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zygmuntz avatar zygmuntz commented on May 26, 2024

@clrokr What kind of hardware (in terms of main and GPU memory) do you use for those datasets?

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cabrust avatar cabrust commented on May 26, 2024

Training usually takes place on a Xeon E3-1231v3 workstation with 16GB main memory and an R9 290X with 4GB of VRAM.

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