GLUOp class

Gated Linear Unit (GLU) activation function.

Equivalent to F.glu() in PyTorch.

Formula

GLU(a, b) = a * sigmoid(b)

where [a, b] = split(input, dim).

The specified dimension must have even size, and the output halves that dimension.

final result = GLUOp(dim: -1)(tensor);

Inheritance

• Object
• TransformOp
• GLUOp

Mixed-in types

• RequiresContiguous

Constructors

GLUOp({int dim = -1})

Creates a GLU operation splitting along dim.

Properties

capabilities → OperationCapabilities

The capabilities of this operation.

no setter, override

dim → int

The dimension along which to split. Supports negative indexing.

final

hashCode → int

The hash code for this object.

no setter, inherited

name → String

The human-readable name of this operation.

no setter, override

requiresContiguous → bool

Whether this operation requires contiguous input.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

apply(TensorBuffer input) → TensorBuffer

Applies this transform to input and returns the result.

override

call(TensorBuffer input) → TensorBuffer

Alias for apply.

inherited

cloneForModification(TensorBuffer input) → TensorBuffer

Creates an output buffer from input, ensuring contiguity with single copy.

inherited

computeOutputShape(List<int> inputShape) → List<int>

Computes the output shape for a given inputShape.

override

ensureContiguous(TensorBuffer input) → TensorBuffer

Returns a contiguous version of input if needed.

inherited

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited