RichModelSummary¶
- class lightning.pytorch.callbacks.RichModelSummary(max_depth=1)[source]¶
- Bases: - lightning.pytorch.callbacks.model_summary.ModelSummary- Generates a summary of all layers in a - LightningModulewith rich text formatting.- Install it with pip: - pip install rich - from lightning.pytorch import Trainer from lightning.pytorch.callbacks import RichModelSummary trainer = Trainer(callbacks=RichModelSummary()) - You could also enable - RichModelSummaryusing the- RichProgressBar- from lightning.pytorch import Trainer from lightning.pytorch.callbacks import RichProgressBar trainer = Trainer(callbacks=RichProgressBar()) - Parameters
- max_depth¶ ( - int) – The maximum depth of layer nesting that the summary will include. A value of 0 turns the layer summary off.
- Raises
- ModuleNotFoundError – If required rich package is not installed on the device.