RichProgressBar

class pytorch_lightning.callbacks.RichProgressBar(refresh_rate_per_second=10, leave=False, theme=RichProgressBarTheme(description='white', progress_bar='#6206E0', progress_bar_finished='#6206E0', progress_bar_pulse='#6206E0', batch_progress='white', time='grey54', processing_speed='grey70', metrics='white'))

Bases: pytorch_lightning.callbacks.progress.base.ProgressBarBase

Create a progress bar with rich text formatting.

Install it with pip:

pip install rich

from pytorch_lightning import Trainer
from pytorch_lightning.callbacks import RichProgressBar

trainer = Trainer(callbacks=RichProgressBar())

Parameters

• refresh_rate_per_second (int) – the number of updates per second. If refresh_rate is 0, progress bar is disabled.

• leave (bool) – Leaves the finished progress bar in the terminal at the end of the epoch. Default: False

• theme (RichProgressBarTheme) – Contains styles used to stylize the progress bar.

Raises

ModuleNotFoundError – If required rich package is not installed on the device.

disable()

You should provide a way to disable the progress bar.

The Trainer will call this to disable the output on processes that have a rank different from 0, e.g., in multi-node training.

Return type

None

enable()

You should provide a way to enable the progress bar.

The Trainer will call this in e.g. pre-training routines like the learning rate finder to temporarily enable and disable the main progress bar.

Return type

None

on_exception(trainer, pl_module, exception)

Called when any trainer execution is interrupted by an exception.

Return type

None

on_predict_batch_end(trainer, pl_module, outputs, batch, batch_idx, dataloader_idx)

Called when the predict batch ends.

on_predict_epoch_start(trainer, pl_module)

Called when the predict epoch begins.

on_predict_start(trainer, pl_module)

Called when the predict begins.

on_sanity_check_end(trainer, pl_module)

Called when the validation sanity check ends.

on_sanity_check_start(trainer, pl_module)

Called when the validation sanity check starts.

on_test_batch_end(trainer, pl_module, outputs, batch, batch_idx, dataloader_idx)

Called when the test batch ends.

on_test_epoch_start(trainer, pl_module)

Called when the test epoch begins.

on_test_start(trainer, pl_module)

Called when the test begins.

on_train_batch_end(trainer, pl_module, outputs, batch, batch_idx)

Called when the train batch ends.

on_train_epoch_start(trainer, pl_module)

Called when the train epoch begins.

on_train_start(trainer, pl_module)

Called when the train begins.

on_validation_batch_end(trainer, pl_module, outputs, batch, batch_idx, dataloader_idx)

Called when the validation batch ends.

on_validation_epoch_end(trainer, pl_module)

Called when the val epoch ends.

on_validation_epoch_start(trainer, pl_module)

Called when the val epoch begins.

on_validation_start(trainer, pl_module)

Called when the validation loop begins.

teardown(trainer, pl_module, stage=None)

Called when fit, validate, test, predict, or tune ends.

Return type

None

property refresh_rate_per_second: float

Refresh rate for Rich Progress.

Returns: Refresh rate for Progress Bar.

Return 1 if not enabled, as a positive integer is required (ignored by Rich Progress).