lerobot

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javadcc_mac 48269dddb3 fix(evo1): infer batch size after normalizing image dims

`_collect_image_batches` read `batch_size = batch[camera_keys[0]].shape[0]`
before normalizing per-camera tensors to `(B, C, H, W)`. For an unbatched
`(C, H, W)` input (which the function tries to support via the `image.dim() == 3`
branch), this picked up the channel count `C` instead of the real batch size,
making the subsequent per-sample loop iterate `C` times and indexing go
out of bounds.

Normalize each camera tensor up-front, then read `batch_size` from the
normalized batch dim. Adds `test_collect_image_batches_handles_unbatched_chw`
covering the regression.

Reported by Copilot review on huggingface/lerobot#3545.

2026-05-10 11:29:23 +08:00

eo1

feat(policies): add EO-1 model (#3403 )

2026-05-06 18:01:16 +02:00

evo1

fix(evo1): infer batch size after normalizing image dims

2026-05-10 11:29:23 +08:00

groot

feat(dependencies): minimal default tag install (#3362 )

2026-04-12 20:03:04 +02:00

multi_task_dit

fix(test): add missing device placement in multi-task DiT tests (#3349 )