NestedStorageCheckpointer¶
- class torchrl.data.replay_buffers.NestedStorageCheckpointer(done_keys=None, reward_keys=None, **kwargs)[source]¶
Saves the storage in a compact form, saving space on the TED format and using memory-mapped nested tensors.
This class explicitly assumes and does NOT check that:
done states (including terminated and truncated) at the root are always False;
observations in the “next” tensordict are shifted by one step in the future (this is not the case when a multi-step transform is used for instance).
