FlatStorageCheckpointer#
- class torchrl.data.replay_buffers.FlatStorageCheckpointer(done_keys=None, reward_keys=None)[source]#
Saves the storage in a compact form, saving space on the TED format.
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) unless done is True in which case the observation in (“next”, key) at time t and the one in key at time t+1 should not match.
- register_load_hook(hook)#
Registers a load hook for this checkpointer.
- register_save_hook(hook)#
Registers a save hook for this checkpointer.