A wrapper of ffprobe command to extract metadata from media files.
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Trying to convert m4a to wav format using Python code from an AML pipeline. When run from an AML pipeline on a Compute Cluster it fails stating: ImportError: cannot import name 'FFProbe' from partially initialized module 'ffprobe' #23
When run on a AML pipeline on a Compute Cluster (NC6 series GPU series Compute), it throws an error stating -
ImportError: cannot import name 'FFProbe' from partially initialized module 'ffprobe' (most likely due to a circular import) (/opt/conda/envs/ptca/lib/python3.8/site-packages/ffprobe/init.py)
Please note that the pipeline runs on a curated environment with the following configuration -
FROM mcr.microsoft.com/azureml/curated/acpt-pytorch-1.13-cuda11.7:latest
Install pip dependencies
COPY requirements.txt .
RUN pip install -r requirements.txt --no-cache-dir
requirements.txt
azureml-core
matplotlib
ffmpeg-python
pydub
The curated environment builds fine without errors, BUT, the pipeline still fails with - ImportError: cannot import name 'FFProbe' from partially initialized module 'ffprobe'
How to FIX this?
Any specific version of ffprobe we should PIN with this image "mcr.microsoft.com/azureml/curated/acpt-pytorch-1.13-cuda11.7:latest" ?
Any ideas?
I have an issue - The below code works fine when run locally on a Compute Instance (NC6 GPU Series Compute).
!/usr/bin/env python
from ffprobe import FFProbe from pydub import AudioSegment
mp4a_version = AudioSegment.from_file("format_test.m4a", "m4a") dst_name = "test.wav"
exprt_file = mp4a_version.export(dst_name, format='wav')**
When run on a AML pipeline on a Compute Cluster (NC6 series GPU series Compute), it throws an error stating -
ImportError: cannot import name 'FFProbe' from partially initialized module 'ffprobe' (most likely due to a circular import) (/opt/conda/envs/ptca/lib/python3.8/site-packages/ffprobe/init.py)
Please note that the pipeline runs on a curated environment with the following configuration -
Docker
This environment is an alias for
https://github.com/Azure/azureml-assets/tree/main/assets/training/general/environments/acpt-pytorch-1.13-cuda11.7
FROM mcr.microsoft.com/azureml/curated/acpt-pytorch-1.13-cuda11.7:latest
Install pip dependencies
COPY requirements.txt . RUN pip install -r requirements.txt --no-cache-dir
requirements.txt
azureml-core matplotlib ffmpeg-python pydub
The curated environment builds fine without errors, BUT, the pipeline still fails with - ImportError: cannot import name 'FFProbe' from partially initialized module 'ffprobe'
How to FIX this? Any specific version of ffprobe we should PIN with this image "mcr.microsoft.com/azureml/curated/acpt-pytorch-1.13-cuda11.7:latest" ? Any ideas?