Imagenet_fake_data_benchmark.py has no split info #1773
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Seems the expected way is to manually download the metadata file dataset_info.json to the folder @avital @marcvanzee We could automate this or append the example source code with the metadata file (for each of the flax examples). I could submit a PR, but maybe first you could share your thoughts on design / necessity / pitfalls of this issue? |
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Don't know. Haven't worked on it since then.
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From: Marc van Zee ***@***.***>
Sent: Monday, August 29, 2022 9:15:45 AM
To: google/flax ***@***.***>
Cc: Marder, Mattias ***@***.***>; Mention ***@***.***>
Subject: Re: [google/flax] Imagenet_fake_data_benchmark.py has no split info (Discussion #1773)
@mattiasmar<https://github.com/mattiasmar> I think we totally dropped the ball on this one, apologies! Is this problem still occurring?
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What are the prerequisites for running the
Imagenet_fake_data_benchmark.py
?The
tfds.builder
used in train.py doesn't generate any split info and thus the methodcreate_input_iter
in the flax example fails.Without a disk quota to download all of imagenet, do you have a suggestion on how to run the fake data example?
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