To give extra report. To avoid ZeroDivisionError shown above, I modified the code in speechbrain/utils/data_utils.py as follows:

in func pad_right_to()

from:

valid_vals.append(tensor.shape[j] / target_shape[j])

to:

if target_shape[j] != 0:
valid_vals.append(tensor.shape[j] / target_shape[j])
else:
valid_vals.append(1.0)

So it looks like the following:

After the such a modification and given a new batchsize of 8, the training process went on well and finished one epoch as following:

However, before going any further, it reported an error "sentencepiece_processor.cc(954) LOG(ERROR) src/sentencepiece_processor.cc(294) [model_] Model is not initialized."

And throwed an exception as follows:

Back to the frame of compute_objectives(), the information is as follows:

from speechbrain.

This problem was caused by my mistake.

from speechbrain.

I am also experiencing the same problem.
How did you solve this problem?

from speechbrain.

Sorry to see your comment until now.

My problem is caused because my mistake that I commented the initialization codes of the pretrainer. As shown in the red box of the following figure, I commented them and got the zerodivision error. Besides, I didn't give the correct configure args for pretrainer section in train.yaml .

from speechbrain.