NaN Loss Monitor
Monitors loss and stops training if loss is NaN. Can either fail with exception or just stop training.
hook_nan_tensor(loss_tensor, fail_on_nan_loss = TRUE)Arguments
| loss_tensor | The loss tensor. |
| fail_on_nan_loss | A boolean indicating whether to raise exception when loss is NaN. |
See also
Other session_run_hook wrappers: hook_checkpoint_saver,
hook_global_step_waiter,
hook_history_saver,
hook_logging_tensor,
hook_progress_bar,
hook_step_counter,
hook_stop_at_step,
hook_summary_saver,
session_run_hook