libsndfile Error

[gusanmaz]

I first cloned the repo and then created a conda environment.

Afterwards I ran following two commands as stated in Installation Section:

pip install .
conda install -y -c conda-forge libsndfile

Installation completes without and error. However if I run following code:

python3 scripts/m4t/predict/predict.py "Teknolojiyi merkezine alan yenilikçi yapımızla hayatını kolaylaştırmaya devam ediyoruz." t2tt eng --src_lang tur

I get following output:

Traceback (most recent call last):
  File "/home/guvenc/seamless_communication/scripts/m4t/predict/predict.py", line 10, in <module>
    from seamless_communication.models.inference import Translator
  File "/home/guvenc/.local/lib/python3.10/site-packages/seamless_communication/models/inference/__init__.py", line 6, in <module>
    from seamless_communication.models.inference.translator import Translator as Translator
  File "/home/guvenc/.local/lib/python3.10/site-packages/seamless_communication/models/inference/translator.py", line 12, in <module>
    from fairseq2.data import Collater
  File "/home/guvenc/.local/lib/python3.10/site-packages/fairseq2/data/__init__.py", line 7, in <module>
    from fairseq2.data.cstring import CString as CString
  File "/home/guvenc/.local/lib/python3.10/site-packages/fairseq2/data/cstring.py", line 58, in <module>
    from fairseq2n.bindings.data.string import CString as CString
  File "/home/guvenc/.local/lib/python3.10/site-packages/fairseq2n/__init__.py", line 90, in <module>
    _load_sndfile()
  File "/home/guvenc/.local/lib/python3.10/site-packages/fairseq2n/__init__.py", line 80, in _load_sndfile
    raise OSError(
OSError: libsndfile is not found!. Use your system package manager to install it (e.g. `apt install libsndfile1`).

I use Ubuntu based Pop!_OS.

sudo apt install libsndfile1 outputs:

Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
libsndfile1 is already the newest version (1.0.31-2build1).
The following packages were automatically installed and are no longer required:
  golang-1.18-go golang-1.18-src golang-src
Use 'sudo apt autoremove' to remove them.
0 upgraded, 0 newly installed, 0 to remove and 250 not upgraded.

Installing libsndfile (https://github.com/libsndfile/libsndfile) from source didn't help either.

I wonder what I might be doing wrong.
Thanks!

[ChrisShaoMeng]

+1 Same error.

[cbalioglu]

@gusanmaz if you have been able to install libsndfile via your system package manager, could you please try to install seamless_communication in a regular Python virtual environment (i.e. no Conda)?

[ChrisShaoMeng]

@gusanmaz if you have been able to install libsndfile via your system package manager, could you please try to install seamless_communication in a regular Python virtual environment (i.e. no Conda)?

It works for me, thanks!

[cgalisteo-stratio]

@gusanmaz if you have been able to install libsndfile via your system package manager, could you please try to install seamless_communication in a regular Python virtual environment (i.e. no Conda)?

That was the solution for me. I was getting that error using a conda environment, but now it's working with a regular virtualenv.

[gusanmaz]

Thank you for the advice @cbalioglu.

This time I am getting ERROR: Could not find a version that satisfies the requirement fairseq2n==0.1.0 (from fairseq2) (from versions: none) ERROR: No matching distribution found for fairseq2n==0.1.0 message during installation. It appears like same issue has already been reported under fairseq2 issues: facebookresearch/fairseq2#1 .

I am able to install and run seamless_communication without using conda environment on my another less powerful machine with same OS with no libsndfile error. I am getting CUDA out of memory error. This machine has only 4GB vram whereas the other one has 12GB vram.

[gusanmaz]

I solved the problem. It now works in 12GB vram machine with big model and 4GB vram machine with medium model.

[cbalioglu]

@gusanmaz glad to hear! Closing this issue. Let us know if you experience another problem.

[shashank-neuralgarage]

I solved the problem. It now works in 12GB vram machine with big model and 4GB vram machine with medium model.

Can you share what worked for you?

[milo157]

I solved the problem. It now works in 12GB vram machine with big model and 4GB vram machine with medium model.

Can you share what worked for you?

Funny enough making sure I did a conda install of it. You can see my code here deploying it on Cerebrium: https://github.com/CerebriumAI/examples/tree/master/19-meta-seamless