Class VerboseOps

Verbose proxy to other IOps implementation

Inheritance
object
VerboseOps
Implements
Inherited Members
Namespace: Unity.Barracuda
Assembly: Unity.Barracuda.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