Fix visualization when greyscale image as input to ImageFeature class #1044
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FIX:: using "from captum.insights import AttributionVisualizer" for the CIFAR10/FashionMNIST in greyscale as the input via ImageFeature produces ==> RuntimeError: number of dims don't match in permute
Infinity-ops
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Infinity-ops
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[SOLUTION] The fix is explained here : https://discuss.circleci.com/t/build-fails-on-apt-get-update/38015 Apt-get update appears to fail the first time it is run. Therefore, its ought to run it again by replacing "sudo apt-get update" with "(sudo apt-get update || sudo apt-get update)" to fix your configuration file. Secondly, as --force-yes parameter is deprecated , replaced with --allow instead in the cuda apt installation command.
fix docstring - multiple or (pytorch#1034)
Infinity-ops
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ISSUE:: When the CIFAR10/FashionMNIST greyscale images are used as the input to ImageFeature, using "from captum.insights import AttributionVisualizer" produces ==> Runtime Error: Number of Dims in Permute Does Not Match
FIX:: Existing feature.py accepts only RGB images as input, when greyscale images is passed as input to the captum insights visualizer, it raises the Runtime Error. It fixed by removing the permute operation based on the input image format.