hook_nan_tensor: NaN Loss Monitor
In tfestimators: Interface to 'TensorFlow' Estimators
Description
Usage
Arguments
See Also
View source: R/session_run_hooks_builtin_wrappers.R
Description
Monitors loss and stops training if loss is NaN. Can either fail with
exception or just stop training.
Usage
1
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()
tfestimators documentation built on Aug. 10, 2021, 1:06 a.m.
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Description Usage Arguments See Also
View source: R/session_run_hooks_builtin_wrappers.R
Description
Monitors loss and stops training if loss is NaN. Can either fail with exception or just stop training.
Usage
1 | 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()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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