TokenEncoder class abstract

Anything that maps [seqLen] token indices to a [seqLen, embedDim] feature matrix and reports its output width. Both TextTransformer and the BERT-style BertModel implement this so SentenceEncoder and CrossEncoder can wrap either backbone.

Implemented types
Implementers

Constructors

TokenEncoder()

Properties

embedDim → int
no setter
hashCode → int
The hash code for this object.
no setterinherited
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
training ↔ bool
Whether this module is in training mode. Layers that behave differently between training and inference (e.g. Dropout) read this flag in their call method. Defaults to training mode.
getter/setter pairinherited

Methods

call(Tensor tokens) → Tensor
eval() → void
Put this module (and any registered submodules) into evaluation mode.
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
parameters() → List<Tensor>
Trainable tensors owned by this module (and its submodules).
inherited
submodules() → List<Module>
Submodules owned by this module. Subclasses that compose other modules should override this so train() / eval() propagate. Default: empty.
inherited
toString() → String
A string representation of this object.
inherited
train() → void
Put this module (and any registered submodules) into training mode.
inherited
zeroGrad() → void
Zero every parameter's gradient. Safe to call before each backward.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited