Comments (1)
lukemetz
commented on April 29, 2024
Hello!
At the moment, the resized imagenet datasets (such as this dataset -- 16x16 imagenet) needs to be preprocessed.
The script to do this is currently written as a beam pipeline, though it is incomplete as it is missing the runner / job launcher, as well as docs to tell folks what to run it with and how. https://github.com/google/learned_optimization/blob/main/learned_optimization/tasks/datasets/beam/make_resized_image_beam.py
Sorry about this!
For now, I would recommend skipping this test by either commenting it out or using something like skipTest.
I will add to my todo list to auto skip the tests with difficult to generate data such as this.
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