Comments (7)
Which set are you working with? That function simply loads the mask from the disk, it should be quite fast. Did you generate the agent_mask correctly on the first run?
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i'm using full train dataset. I didn't generate agent_mask.
Seems that it happens in case more than one pipeline (not necessarily l5kit) are running.
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pipeline?
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I've met the same problem. Using zarr.open_array("./agents_mask/0.5") can handle this. (too many tiny files)
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pipeline i mean another pytorch lightning train loop
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pipeline i mean another pytorch lightning train loop
This has never been tested with PTL, so I can't guarantee it works there :(
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I'm closing this for now as we don't officially support PTL (yet)
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