TrainerConfig

class TrainerConfig(

samples_per_epoch=None,

check_val_every_n_iterations=None,

check_val_every_n_epoch=1,

limit_val_batches=1.0,

limit_test_batches=1.0,

checkpoint_every_n_steps=None,

checkpoint_monitor=None,

find_unused_parameters=False,

wandb_checkpoint_upload=True,

)

Bases: object

Lightning Trainer configuration overrides.

Parameters:

• samples_per_epoch (int | None)

• check_val_every_n_iterations (int | None)

• check_val_every_n_epoch (int)

• limit_val_batches (int | float)

• limit_test_batches (int | float)

• checkpoint_every_n_steps (int | None)

• checkpoint_monitor (str | None)

• find_unused_parameters (bool)

• wandb_checkpoint_upload (bool)

samples_per_epoch: int | None = None

check_val_every_n_iterations: int | None = None

check_val_every_n_epoch: int = 1

limit_val_batches: int | float = 1.0

limit_test_batches: int | float = 1.0

checkpoint_every_n_steps: int | None = None

checkpoint_monitor: str | None = None

find_unused_parameters: bool = False

wandb_checkpoint_upload: bool = True

__init__(

samples_per_epoch=None,

check_val_every_n_iterations=None,

check_val_every_n_epoch=1,

limit_val_batches=1.0,

limit_test_batches=1.0,

checkpoint_every_n_steps=None,

checkpoint_monitor=None,

find_unused_parameters=False,

wandb_checkpoint_upload=True,

)

Parameters:

• samples_per_epoch (int | None)

• check_val_every_n_iterations (int | None)

• check_val_every_n_epoch (int)

• limit_val_batches (int | float)

• limit_test_batches (int | float)

• checkpoint_every_n_steps (int | None)

• checkpoint_monitor (str | None)

• find_unused_parameters (bool)

• wandb_checkpoint_upload (bool)

Return type:

None