hulianyuyy/DSTA-SLR

Error when generating M_seed in DropBlock_Ske

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tanthinhdt commented

Sometimes I encounter this error while making inference

  File "/mnt/d/spaces/DSTA-SLR/models/dropSke.py", line 28, in forward
    M_seed = torch.bernoulli(torch.clamp(input_abs * gamma, max=1.0)).to(
RuntimeError: Expected p_in >= 0 && p_in <= 1 to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)

How can I prevent this error for good? Is M_seed the reason that the output is non-deterministic?

hulianyuyy commented

I haven't encounter this error, but i figure that you may change the code into M_seed = torch.bernoulli(torch.clamp(input_abs * gamma, min=0.0, max=1.0)).to( device=input.device, dtype=input.dtype ).

tanthinhdt commented

The error still happened :((

hulianyuyy commented

Does this error always happen during inference or occur occasionally?

tanthinhdt commented

It occurs occur occasionally.

hulianyuyy commented

From here, i figure that this issue may be attributed to that the input values may contain nan.

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tanthinhdt commented

I see. Thank you very much. I also observe that the output is non-deterministic. How can I make it deterministic?

hulianyuyy commented

It seems strange because i have made the code deterministic in the init_seed part in the main.py. I also get deterministic results during training in my process.

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