Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

DownmixMono "channels_first" kwarg is unexpected keyword

See original GitHub issue

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

Hash : d92de5b

Issue Analytics

State:
Created 4 years ago
Reactions:1
Comments:6 (3 by maintainers)

Top GitHub Comments

3reactions

deepwilsoncommented, Jul 22, 2019

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

2reactions

jamarshoncommented, Jul 22, 2019

@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