terminator.models.layers.s2s_modules.Normalize

class terminator.models.layers.s2s_modules.Normalize(features, epsilon=1e-06)

Bases: Module

__init__(features, epsilon=1e-06)

Initializes internal Module state, shared by both nn.Module and ScriptModule.

Methods

__init__(features[, epsilon])	Initializes internal Module state, shared by both nn.Module and ScriptModule.
forward(x[, dim])	Defines the computation performed at every call.

Attributes

T_destination	alias of TypeVar('T_destination', bound=Mapping[str, Tensor])
dump_patches	This allows better BC support for load_state_dict().

forward(x, dim=- 1)

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.