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data-and-replay-buffers【数据与研究】Inspect Diffusion Policy dataset interfaces, ReplayBuffer stores, SequenceSampler horizons and padding, and normalizer contracts.
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Use this sub-skill when you need to understand or validate Diffusion Policy data stores, dataset adapters, sequence sampling, and normalization without touching training loops or policy internals.
episode_ends, shapes, dtypes, chunking, and length mismatchesshape_meta routingSequenceSampler horizon, padding, episode_mask, and key_first_k behaviortraining-and-evaluationpolicies-and-modelsreal-robot-operationspython scripts/inspect_replay_buffer.py --path <replay-buffer> --max-keys 12 from this sub-skill directory to inspect a zarr directory or zip store without modifying it.--json when another tool should consume the summary.references/troubleshooting.md when episode lengths, keys, or shapes are inconsistent.references/data-and-replay-buffers.mdreferences/api-reference.mdreferences/troubleshooting.mdscripts/inspect_replay_buffer.py — read-only inspector for ReplayBuffer zarr directories and zip stores.meta/episode_ends[-1] to every data/* leading dimension.