Class VerboseOps

Verbose proxy to other IOps implementation

Inheritance

object

VerboseOps

Implements

IOps

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Unity.Barracuda

Assembly: Unity.Barracuda.dll

Syntax

public class VerboseOps : IOps

Constructors

VerboseOps(IOps)

Create VerboseOps for target ops

Declaration

public VerboseOps(IOps ops)

Parameters

Type	Name	Description
IOps	ops	target IOps instance

Methods

LSTM(Tensor, Tensor[], Tensor[], Tensor[], Tensor[], Tensor, Tensor)

LSTM

Declaration

public Tensor[] LSTM(Tensor X, Tensor[] W, Tensor[] R, Tensor[] Wb, Tensor[] Rb, Tensor hidden, Tensor cell)

Parameters

Type	Name	Description
Tensor	X	The input sequences packed into one 3-D tensor.
Tensor[]	W	W parameter weight matrix for input, output, forget, and cell gates - W[iofc]
Tensor[]	R	R recurrence weight matrix for input, output, forget, and cell gates - R[iofc]
Tensor[]	Wb	W bias vectors for input, output, forget, and cell gates - Wb[iofc]
Tensor[]	Rb	R bias vectors for input, output, forget, and cell gates - Rb[iofc]
Tensor	hidden	Initial value of the hidden
Tensor	cell	Initial value of the cell

Returns

Type	Description
Tensor[]	[Y (concatenated intermediate values of the hidden), Y_h (final hidden), Y_c (final cell)]

NonZero(Tensor)

Indices for non zero values

Declaration

public Tensor NonZero(Tensor X)

Parameters

Type	Name	Description
Tensor	X	input

Returns

Type	Description
Tensor	output Tensor

PreExecuteLayer(Layer, Tensor[])

Prepare for layer execution

Declaration

public virtual void PreExecuteLayer(Layer layer, Tensor[] inputs)

Parameters

Type	Name	Description
Layer	layer	layer
Tensor[]	inputs	inputs

PrepareModel(Model, IDictionary<string, TensorShape>)

Prepare model for execution, allocating required intermediate tensors

Declaration

public virtual void PrepareModel(Model model, IDictionary<string, TensorShape> inputShapes)

Parameters

Type	Name	Description
Model	model	model
IDictionary<string, TensorShape>	inputShapes	input shapes

TopKValues(Tensor, Tensor, int)

Top K values

Declaration

public Tensor TopKValues(Tensor X, Tensor I, int axis)

Parameters

Type	Name	Description
Tensor	X	input
Tensor	I	indices
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Implements

IOps