-
Notifications
You must be signed in to change notification settings - Fork 45
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
LightWeightConv layer warnings during training #5
Comments
@idcore |
@idcore I try to install lightconv_layer on both torch 1.7, 1.8 (cuda 11) and they both work. Maybe you should clean your env and try to reinstall it again. |
@KinamSalad lightconv_cuda is not a package. It is a pytorch extension write in C++. The shitty thing is fairseq don't automatically install it when you build fairseq(and I don't see and guiding or warning about installing it either) so you have to build it yourself.
Note: This installation depend a lot on cuda env so.
|
Thank you @egochao for your documentation. But someone may still get the |
Close due to inactivity. |
So Does it mean I can not train in Conda environment? Update: I have run it with conda , cudatoolkit 11 and torch 1.8 |
how to solv it? I have the same problem |
You could check this replacement script: |
@v-nhandt21 hi, did you solve the install problem of fairseq? If yeah, and did you test whether the replacement script work normal as the lightconv_layer? Thanks again. |
@GuangChen2016 I did not install fairseq, LightweightConv of LEECHOONGHO script worked for me except the soft-DTW of Parallel Tacotron2 ps: The softDTW in this repo can not work with large batch-size. You can check the appendix of this paper, may it help: https://arxiv.org/pdf/2205.04421.pdf |
Any concrete luck with |
If just install specified requirements + Pillow and fairseq following warnings appear during training start:
No module named 'lightconv_cuda'
If install lightconv-layer from fairseq, the folllowing warning displayed:
WARNING: Unsupported filter length passed - skipping forward pass
Pytorch 1.7
Cuda 10.2
Fairseq 1.0.0a0+19793a7
The text was updated successfully, but these errors were encountered: