log_softmax Error

[AliRamamadan]

When using the adaptation script using my own dataset I get this error:

return torch._C._nn.log_softmax(input, dim)
RuntimeError: dimension out of range (expected to be in range of [-1, 0], but got 1)

[HuangZiliAndy]

Hi, can I know the position of this error? Also can I know your Pytorch version? This project has been written with pytorch 0.4, which is quite old. There might be some changes inside Pytorch, but they are not difficult to fix. Thanks

[AliRamamadan]

I am sorry for bothering you. The error location is in the following lines and I am using PyTorch 0.4.0 File "/media/rdi5/05500E3D0BBEFF2B/ASR_Ali/Diarization/rpnsd/RPNSD/scripts/utils.py", line 101, in train dev_info = validate(dev_loader, model, device, args) File "/media/rdi5/05500E3D0BBEFF2B/ASR_Ali/Diarization/rpnsd/RPNSD/scripts/utils.py", line 171, in validate

…

On Mon, Apr 6, 2020 at 5:53 AM Zili Huang ***@***.***> wrote: Closed #4 <#4>. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#4 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/APAHCWIJG3QW2SXGCEJU3RTRLHGD5ANCNFSM4LXRBFOQ> .

-- *Ali Ramadan*Machine Learning Researcher +20 01091887426 <+2001091887426> Ali.ramadan@rdi-eg.ai <ali.ramadan@rdi-eg.ai> www.rdi-eg. <https://www.rdi-eg.com/>ai 12 A Haroun St., Dokki, Giza, Egypt <https://goo.gl/maps/rCDWyUxNSbdMCW7L8>

[widdiot]

I am getting the same error at
File "/home/RPNSD/scripts/model/faster_rcnn/faster_rcnn.py", line 125, in forward
RCNN_loss_cls_spk = F.cross_entropy(cls_score_nonzero, rois_label_nonzero)

some inspection shows that it is loading some invalid batch
pred shape:: torch.Size([21, 10234]) label shape:: torch.Size([21])
pred shape:: torch.Size([25, 10234]) label shape:: torch.Size([25])
pred shape:: torch.Size([15, 10234]) label shape:: torch.Size([15])
pred shape:: torch.Size([17, 10234]) label shape:: torch.Size([17])
pred shape:: torch.Size([15, 10234]) label shape:: torch.Size([15])
pred shape:: torch.Size([7, 10234]) label shape:: torch.Size([7])
pred shape:: torch.Size([0]) label shape:: torch.Size([0])

[HuangZiliAndy]

I am getting the same error at
File "/home/RPNSD/scripts/model/faster_rcnn/faster_rcnn.py", line 125, in forward
RCNN_loss_cls_spk = F.cross_entropy(cls_score_nonzero, rois_label_nonzero)

some inspection shows that it is loading some invalid batch
pred shape:: torch.Size([21, 10234]) label shape:: torch.Size([21])
pred shape:: torch.Size([25, 10234]) label shape:: torch.Size([25])
pred shape:: torch.Size([15, 10234]) label shape:: torch.Size([15])
pred shape:: torch.Size([17, 10234]) label shape:: torch.Size([17])
pred shape:: torch.Size([15, 10234]) label shape:: torch.Size([15])
pred shape:: torch.Size([7, 10234]) label shape:: torch.Size([7])
pred shape:: torch.Size([0]) label shape:: torch.Size([0])

Seems the problem is that there are utterances with no speech segments. I think this is a bug. You can avoid this issue by (1) avoid such utterances (2) skip this loss if len(cls_score_nonzero) == 0. I will fix this soon. Thanks for pointing out.

[ooza]

When using the adaptation script using my own dataset I get this error:

return torch._C._nn.log_softmax(input, dim)
RuntimeError: dimension out of range (expected to be in range of [-1, 0], but got 1)

When using the adaptation script using my own dataset I get this error:

return torch._C._nn.log_softmax(input, dim)
RuntimeError: dimension out of range (expected to be in range of [-1, 0], but got 1)

@AliRamamadan
Hi,
I have a small set of audio files that I want to evaluate using the authors' pretrained model.
Can you tell me please how did you proceed to make the inference ?
Thanks