hook_summary_saver: Saves Summaries Every N Steps

In rstudio/tflearn: Interface to 'TensorFlow' Estimators

Description

Saves Summaries Every N Steps

Usage

hook_summary_saver(
  save_steps = NULL,
  save_secs = NULL,
  output_dir = NULL,
  summary_writer = NULL,
  scaffold = NULL,
  summary_op = NULL
)

Arguments

save_steps	An integer indicating saving summaries every N steps. Exactly one of save_secs and save_steps should be set.
save_secs	An integer indicating saving summaries every N seconds.
output_dir	The directory to save the summaries to. Only used if no summary_writer is supplied.
summary_writer	The summary writer. If NULL and an output_dir was passed, one will be created accordingly.
scaffold	A scaffold to get summary_op if it's not provided.
summary_op	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.

See Also

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()

rstudio/tflearn documentation built on Nov. 25, 2021, 2:45 a.m.