[Model] Compute Llava Next Max Tokens / Dummy Data From Gridpoints

[alex-jw-brooks]

Currently, the LLava-next max token per images count & dummy data is calculated using a fixed height and width that picks the highest feature tile layout for the default image grid points in most llava-next models. I.e., given grid pinpoints:

[[336, 672], [672, 336], [672, 672], [1008, 336], [336, 1008]]

we pick a size to get the 672x672 configuration, which is a 2x2 layout of 336x336 tiles.

This PR removes the hardcoded height/width, and just calculates the image features for each image grid pinpoint in the config and keeps the max one, which corrects the max token calculation for models using the same architecture with modified image grid pinpoints and/or tile sizes. In practice, this should be the one with the most tiles that is also the most vertical

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[DarkLight1337]

This looks reasonable, thanks for extending this!

[DarkLight1337]

It looks like test_dummy_data_for_llava_next_feature_size is failing, PTAL.

[alex-jw-brooks]

Thanks @DarkLight1337 - sorry about that, small bug in the test, I forgot that PIL image's .size is width, height instead of height, width. Should be fixed now 😄

[DarkLight1337]

Please note that CI is currently failing, you should merge from main after #9666. (Or see if I can find someone who can force-merge)