Saves Summaries Every N Steps
hook_summary_saver(
save_steps = NULL,
save_secs = NULL,
output_dir = NULL,
summary_writer = NULL,
scaffold = NULL,
summary_op = NULL
)An integer indicating saving summaries every N steps. Exactly one of
save_secs and save_steps should be set.
An integer indicating saving summaries every N seconds.
The directory to save the summaries to. Only used
if no summary_writer is supplied.
The summary writer. If NULL and an output_dir was
passed, one will be created accordingly.
A scaffold to get summary_op if it's not provided.
A tensor of type tf$string containing the serialized
summary protocol buffer or a list of tensors. They are most likely an
output by TensorFlow summary methods like tf$summary$scalar or
tf$summary$merge_all. It can be passed in as one tensor; if more than
one, they must be passed in as a list.
Other session_run_hook wrappers:
hook_checkpoint_saver(),
hook_global_step_waiter(),
hook_history_saver(),
hook_logging_tensor(),
hook_nan_tensor(),
hook_progress_bar(),
hook_step_counter(),
hook_stop_at_step(),
session_run_hook()