Comments (3)
I got the same error.
I tried to change the type of activation to floatTensor but the type is still tensor. Have you fixed this error?
from speech.
Hi @JeremyCCHsu, I changed the check_type() function in /libs/warp-ctc/pytorch_binding/functions/ctc.py to
def check_type(var, t, name): if not isinstance(var, t): raise TypeError("{} must be {}".format(name, t))
`pytest
======================================= test session starts =======================================
platform darwin -- Python 2.7.15, pytest-3.2.3, py-1.4.34, pluggy-0.4.0
rootdir: /Users/edison/PycharmProjects/speech-master/tests, inifile:
collected 9 items
ctc_test.py ..
io_test.py .
loader_test.py ..
model_test.py .
seq2seq_test.py .
wave_test.py ..
==================================== 9 passed in 0.82 seconds =====================================
`
x.type() is the right way to show the type of a tensor ==> 'torch.FloatTensor'
type(x) only returns torch.tensor.
from speech.
@edchengg Thank you so much! I didn't realize this and what x.type()
returned was a string...
from speech.
Related Issues (20)
- torch type mismatch error HOT 9
- ctc decoder with language model
- Pytest FAILURES
- Word Level LM at Line 96
- WARNING: Forward backward likelihood mismatch 0.000050 HOT 1
- make error from torch.utils.ffi import create_extension HOT 1
- your paper link
- Error in seq2seq.py of Method collate HOT 3
- Sample generation
- Make error HOT 1
- 请问有成功训练出中文汉语模型的么 HOT 1
- make error : system cannot find the path specified
- Out of memory Error HOT 1
- Multi Gpu Training support
- Loss is decrease but SER is increase
- Transducer: zip object is not subscriptable HOT 1
- Could you share your WER on librispeech?
- Make Requires Cuda
- TIMIT PER HOT 2
- Can this model convert Chinese audio to text?
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from speech.