pretrained show worse cer than decode? about icefall HOT 6 OPEN

I use --max-duration=20

What if you change it to --max-duration=1 so that there is only one utterance in a batch when using decode.py?

There is a convolutional layer in the conformer model and the padding in a batch may affect the result.

from icefall.

I see the feature extraction is not the same, will this be the reason?

Both feature extractors use the same parameters and should produce the same features.

from icefall.

I use --max-duration=20

What if you change it to --max-duration=1 so that there is only one utterance in a batch when using decode.py?

There is a convolutional layer in the conformer model and the padding in a batch may affect the result.

I have use --max-duration=1 for decode, but meet MemoryError below. Also print the batch data for error.

from icefall.

Can you try doing
export K2_SYNC_KERNELS=1
and rerunning? Error might be earlier.

from icefall.

Can you try doing export K2_SYNC_KERNELS=1 and rerunning? Error might be earlier.

I export K2_SYNC_KERNELS=1 and run again, see below.

from icefall.

Hm, I think we're not quite drilling down into the error yet. Looks like the error may have occurred in _k2.index, which goes to C++ code. See if you can find it by running with gdb; you may need to do 'catch throw'.
e.g.:
gdb --args python3 something.py --opt1 foo ... etc.
(gdb) catch throw
(gdb) r
...you may have to "continue":
(gdb) c
if there are previous exceptions that are ignored by the program.
once you get to where the exception is raised, see if you can print out any relevant-looking local variables.

from icefall.