modelzoo.common.pytorch.run_cstorch_flow.GradScalerParams#

class modelzoo.common.pytorch.run_cstorch_flow.GradScalerParams[source]#

Bases: object

Dataclass for parsing grad scaler params from optimizer params.

Methods

from_dict

Returns an instance of GradScalerParams from a dictionary.

Attributes

initial_loss_scale

loss_scaling_factor

max_gradient_norm

max_gradient_value

max_loss_scale

min_loss_scale

steps_per_increase

__init__(loss_scaling_factor: Optional[Union[float, str]] = 1.0, initial_loss_scale: Optional[float] = None, steps_per_increase: Optional[int] = 2000, min_loss_scale: Optional[float] = None, max_loss_scale: Optional[float] = None, max_gradient_norm: Optional[float] = None, max_gradient_value: Optional[float] = None) → None#
classmethod from_dict(params: Dict[str, Any]) → typing_extensions.Self[source]#

Returns an instance of GradScalerParams from a dictionary.

Note that matching keys are popped from the dictionary.

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