Checkpoints training state, policy state, and replay_buffer state.
tf_agents.utils.common.Checkpointer(
ckpt_dir, max_to_keep=20, **kwargs
)
Used in the notebooks
Args |
ckpt_dir
|
The directory to save checkpoints.
|
max_to_keep
|
Maximum number of checkpoints to keep (if greater than the
max are saved, the oldest checkpoints are deleted).
|
**kwargs
|
Items to include in the checkpoint.
|
Attributes |
checkpoint_exists
|
|
manager
|
Returns the underlying tf.train.CheckpointManager.
|
Methods
initialize_or_restore
View source
initialize_or_restore(
session=None
)
Initialize or restore graph (based on checkpoint if exists).
save
View source
save(
global_step: tf.Tensor, options: tf.train.CheckpointOptions = None
)
Save state to checkpoint.