lightning

ReducedPrecisionFilter

Bases: Generic[_PrecisionT], Precision, Precision

Wraps any lightning.fabric.plugins.precision.Precision object, patching its convert_module to avoid casting certain submodules' parameters and buffers to reduced-precision to avoid convergence issues, namely those of normalization layers and stainedglass_core.noise_layer.BaseNoiseLayer.

Some classes may not converge well in lower precision: https://discuss.pytorch.org/t/training-with-half-precision/11815/2.

__init__

__init__(
    _precision: _PrecisionT,
    full_precision_module_types: Iterable[type[Module]]
    | None = None,
    full_precision_names: Iterable[str] | None = None,
) -> None

Construct a ReducedPrecisionFilter object.

Parameters:

Name	Type	Description	Default
_precision	_PrecisionT	The Precision object to wrap.	required
full_precision_module_types	Iterable[type[Module]] | None	Additional nn.Module types whose parameters and buffers to avoid casting to reduced-precision.	None
full_precision_names	Iterable[str] | None	Regex patterns matching submodule, parameter, or buffer names to avoid casting to reduced-precision. See patterns_to_regex for the syntax of the patterns.	None

Raises:

Type	Description
TypeError	If _precision is an instance of ReducedPrecisionFilter.

convert_module

convert_module(module: _ModuleT) -> _ModuleT

Cast the parameters and buffers of the given module to the desired dtype, avoiding certain submodules, parameters, and buffers.

Parameters:

Name	Type	Description	Default
module	_ModuleT	The module whose parameters and buffers to cast to the desired dtype.	required

Raises:

Type	Description
TypeError	If self does not have the _desired_input_dtype or _desired_dtype attributes.

Returns:

Type	Description
_ModuleT	The casted module.