On Windows 10, AttributeError: Can't pickle local object 'StringEncoder.<locals>.EncodeField' about l5kit HOT 4 CLOSED

num_workers = 0 is a torch level limitation on Windows, it is a well-known issue. I am able to train successfully on Windows.

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Hi @DONJYARAHOI ,
This seems to be a torch multiprocessing related issue, not sure it's something we can fix on our side really.
Do you still get it with num_workers set to 0? Or alternatively using a for loop on the dataloader?

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Setting num_workers to 0 works well. (Though I don't know how fast it is.)
Using a for loop gets same error.
I see. I would consider other environments. Such as WSL or kaggle Kernel.

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Setting num_workers to 0 works well. (Though I don't know how fast it is.)

I expect it to be quite slow, as rasterisation is our current bottleneck

I see. I would consider other environments. Such as WSL or kaggle Kernel.

Yeah, we haven't disabled support for Windows as some people have successfully run L5Kit on it but we're currently lacking an active developer for that platform, so our support is very limited..

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