hook_nan_tensor: NaN Loss Monitor

In rstudio/tfestimators: Interface to 'TensorFlow' Estimators

Description

Monitors loss and stops training if loss is NaN. Can either fail with exception or just stop training.

Usage

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()

rstudio/tfestimators documentation built on Nov. 24, 2021, 6:56 a.m.