DownmixMono "channels_first" kwarg is unexpected keyword

[deepwilson]

transform = torchaudio.transforms.DownmixMono(channels_first=True)
 __init__() got an unexpected keyword argument 'channels_first'

Hash : d92de5b

[jamarshon]

Hmm that's strange. It works for me

>>> torchaudio.transforms.DownmixMono(channels_first=True)
DownmixMono()

and it should work since it is in the code:
https://github.com/pytorch/audio/blob/d92de5b/torchaudio/transforms.py#L108
and it was added a while back.

Could you run test_transforms.py and see if an error appears?

python -m unittest test/test_transforms.py

[deepwilson]

Running:
python -m unittest test/test_transforms.py
gives me
RuntimeError: Failed to parse the argument list of a type annotation: name 'Optional' is not defined

[deepwilson]

What would be the proper method to install torchaudio on colab?
@jamarshon please help.

[jamarshon]

@deepwilson I ran this on a Python3 colab and it worked. Let me know if it does 😄, although you may have to adjust the pytorch installation depending on desired Python and Cuda versions.

# Install dependencies
!apt-get install sox libsox-dev libsox-fmt-all

# Install pytorch 1.1.0 (https://pytorch.org/). Depends on Python and Cuda versions so look for correct commands
!pip3 install https://download.pytorch.org/whl/cpu/torch-1.1.0-cp36-cp36m-linux_x86_64.whl
!pip3 install https://download.pytorch.org/whl/cpu/torchvision-0.3.0-cp36-cp36m-linux_x86_64.whl

# install torchaudio
!pip install git+https://github.com/pytorch/audio.git@v0.2.0

# Run torchaudio
import torchaudio
transform = torchaudio.transforms.DownmixMono(channels_first=True)
print(transform)  # prints DownmixMono()
print(torchaudio.__version__)  # prints 0.2.0a0+7d7342f

[deepwilson]

Thank you so much @jamarshon !
I ran the following code which was wrong:

!apt-get install sox libsox-dev libsox-fmt-all
!git clone https://github.com/pytorch/audio.git
import os
os.chdir("audio")
!git checkout 5c9d33d  #301e2e9 d92de5b
!python setup.py install
import torchaudio

Correct code/procedure to follow as per your instructions:

import sys
sys.version
'3.6.8 (default, Jan 14 2019, 11:02:34) \n[GCC 8.0.1 20180414 (experimental) [trunk revision 259383]]'

!cat /usr/local/cuda/version.txt
CUDA Version 10.0.130

# Install dependencies
!apt-get install sox libsox-dev libsox-fmt-all

Go to the following link and check for links corresponding to your python and CUDA versions

!pip3 install https://download.pytorch.org/whl/cu100/torch-1.1.0-cp36-cp36m-linux_x86_64.whl
!pip3 install https://download.pytorch.org/whl/cu100/torchvision-0.3.0-cp36-cp36m-linux_x86_64.whl

# install torchaudio
!pip install git+https://github.com/pytorch/audio.git@v0.2.0

# Run torchaudio
import torchaudio
transform = torchaudio.transforms.DownmixMono(channels_first=True)
print(transform)  # prints DownmixMono()
print(torchaudio.__version__)  # prints 0.2.0a0+7d7342f

Thanks once again @jamarshon !

[jamarshon]

@deepwilson Glad to hear it worked 😄