Class VerboseOps

Verbose proxy to other IOps implementation

Inheritance

object

VerboseOps

Implements

IOps

IOpsStatistics

Inherited Members

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Namespace: Unity.Barracuda

Assembly: solution.dll

Syntax

public class VerboseOps : IOps, IOpsStatistics

Constructors

VerboseOps(IOps, bool)

Create VerboseOps for target ops

Declaration

public VerboseOps(IOps ops, bool useUnityLogFile = true)

Parameters

Type	Name	Description
IOps	ops	target IOps instance
bool	useUnityLogFile

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

PostLayerCleanup()

Called after every layer execution. It allows IOps to run cleanup operations such as clearing temporary buffers only used in the scope of the last layer executed.

Declaration

public virtual void PostLayerCleanup()

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>, IVars)

Prepare model for execution, allocating required intermediate tensors

Declaration

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

Parameters

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

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

IOpsStatistics