phlower.settings.PhlowerTrainerSetting

class phlower.settings.PhlowerTrainerSetting(*, loss_setting, optimizer_setting=None, scheduler_setting=None, n_epoch=10, random_seed=0, batch_size=1, num_workers=1, device='cpu', non_blocking=False)

Bases: BaseModel

Methods

Attributes

model_computed_fields	A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
loss_setting	setting for loss function
optimizer_setting	setting for optimizer
scheduler_setting	setting for schedulers
n_epoch	the number of epochs.
random_seed	random seed.
batch_size	batch size.
num_workers	the number of cores.
device	device name.
non_blocking

Parameters:

• loss_setting (LossSetting)

• optimizer_setting (OptimizerSetting)

• scheduler_setting (list[SchedulerSetting])

• n_epoch (int)

• random_seed (int)

• batch_size (int)

• num_workers (int)

• device (str)

• non_blocking (bool)

batch_size: int

batch size. Defaults to 1

device: str

device name. Defaults to cpu

loss_setting: LossSetting

setting for loss function

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'extra': 'forbid', 'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[Dict[str, FieldInfo]] = {'batch_size': FieldInfo(annotation=int, required=False, default=1), 'device': FieldInfo(annotation=str, required=False, default='cpu'), 'loss_setting': FieldInfo(annotation=LossSetting, required=True), 'n_epoch': FieldInfo(annotation=int, required=False, default=10), 'non_blocking': FieldInfo(annotation=bool, required=False, default=False), 'num_workers': FieldInfo(annotation=int, required=False, default=1), 'optimizer_setting': FieldInfo(annotation=OptimizerSetting, required=False, default_factory=OptimizerSetting), 'random_seed': FieldInfo(annotation=int, required=False, default=0), 'scheduler_setting': FieldInfo(annotation=list[SchedulerSetting], required=False, default_factory=list)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.

This replaces Model.__fields__ from Pydantic V1.

n_epoch: int

the number of epochs. Defaults to 10.

num_workers: int

the number of cores. Defaults to 1.

optimizer_setting: OptimizerSetting

setting for optimizer

random_seed: int

random seed. Defaults to 0

scheduler_setting: list[SchedulerSetting]

setting for schedulers