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ml-frameworks/using-mlflow/train-and-deploy-pytorch fails due incompatible torchvision #1425
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marcindulak opened 3 years ago
I'm running https://github.com/Azure/MachineLearningNotebooks/tree/824d844cd7386d95edfa6ecec1642e799ca79dd7/how-to-use-azureml/ml-frameworks/using-mlflow/train-and-deploy-pytorch on a default compute instance with "Python 3.8 AzureML" kernel.
The following cell fails
with
The conda azureml_py38 environment has the following:
Related to https://github.com/pytorch/vision/issues/1780