Comments (9)
Yes, we should close this issue because it is not relevant anymore.
from benchmark.
I confirm the bug
from benchmark.
Please follow the issue template and at least post a minimal example that would let us reproduce this error.
from benchmark.
The error is raised when I run rnns\fastrnns\custom_lstm.py (I renamed it 'lstm_test.py')
The problem is in the test of bidirectional lstm, the Traceback error is posted above.
Thank you for your help
from benchmark.
Check this in the annotations.py of your pytorch version.
Probably this is missing .
from benchmark.
So how to fix this ? update to pytorch1.1 ?
I use pytorch1.0.1 and in annotations.py it has
_eval_env = {
'torch': Module('torch', {'Tensor': torch.Tensor}),
'Tensor': torch.Tensor,
'typing': Module('typing', {'Tuple': Tuple}),
'Tuple': Tuple,
}
from benchmark.
For fast fixing, I remove all the lines @jit.script_method
. Let me know if you solve the problem.
from benchmark.
@FedericOldani But it seems that the custom lstm has no relation with jit
. It also woks if class LSTMCell(nn.Module)
without undering jit
. And LSTMCell(nn.Module)
runs faster than LSTMCell(jit.Module)
.
from benchmark.
I was looking at the issue from triage aspect, and I couldn't reproduce the error, and I see don't rnns\fastrnns\custom_lstm.py
anymore. Perhaps, the issue is not relevant and now and we should close. Thanks! cc @xuzhao9
from benchmark.
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