add more KernelInfo's and DispatcherInfo's#6626
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pmeier merged 12 commits intopytorch:mainfrom Sep 22, 2022
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Summary:
* add KernelInfo for adjust_brightness
* add KernelInfo for adjust_contrast
* add KernelInfo for adjust_hue
* add KernelInfo for adjust_saturation
* add KernelInfo for clamp_bounding_box
* add KernelInfo for {five, ten}_crop_image_tensor as well as skip functionality
* add KernelInfo for normalize
* add KernelInfo for adjust_gamma
* cleanup
* add DispatcherInfo's for previously add KernelInfo's
* add dispatcher info for elastic
Reviewed By: NicolasHug
Differential Revision: D39765294
fbshipit-source-id: 42bdb40ead8807f60fc75fb9259dd34e2d4f0724
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Addresses 1. from #6622. In addition to the added
{Kernel, Dispatcher}Info's this also introduces the ability to define test skips for specific tests on an info.That is useful if a test does not work at all for a kernel or dispatcher, e.g.
test_batched_vs_singleis hard to do for{five, ten}_crop_image_tensorsince the output is not a tensor, but rather a sequence of tensors. Plus, in some cases a specific parameter configuration does not work for a test, e.g. integersize's in{five, ten}_crop_image_tensorare not scriptable, so this can be individually skipped fortest_scripted_vs_eager.The same architecture can also be used for xfailing or fine tuning the tolerances, but so far there is no need for this so I didn't implement it yet.