← deep_learning package

OrthogonalInitializer

An initializer that generates a random matrix of orthogonal vectors.

Version 0.5.0

Ports/Properties

scale

Scale factor.

verbose name

Scale

default value

1

port type

FloatPort

value type

float (can be None)

axis

Axis that corresponds to the output dimension of the tensor. The array will be row orthonormal along this axis (where -1 refers to the last dimension), unless the product of the remaining dimensions is larger along the axis, in which case it will be made column orthonormal along the axis.

verbose name

Axis

default value

-1

port type

IntPort

value type

int (can be None)

set_breakpoint

Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.

verbose name

Set Breakpoint (Debug Only)

default value

False

port type

BoolPort

value type

bool (can be None)

metadata

User-definable meta-data associated with the node. Usually reserved for technical purposes.

verbose name

Metadata

default value

{}

port type

DictPort

value type

dict (can be None)