Class ComputeOps

GPU compute implementation of IOps

Inheritance

object

ReferenceCPUOps

ReferenceComputeOps

ComputeOps

PrecompiledComputeOps

Implements

IOps

IOpsStatistics

Inherited Members

ReferenceComputeOps.Pin(Tensor, bool)

ReferenceComputeOps.TensorToRenderTexture(Tensor, RenderTexture, int, int, Vector4, Vector4, Texture3D, bool)

ReferenceComputeOps.ShouldFlattenInputForDenseLayer(TensorShape)

ReferenceComputeOps.IsFusedActivationSupported(Layer.FusedActivation)

ReferenceComputeOps.Upsample3D(Tensor, int[], bool)

ReferenceComputeOps.Resample2D(Tensor, int[], bool)

ReferenceComputeOps.DepthToSpace(Tensor, int[], Layer.DepthToSpaceMode)

ReferenceComputeOps.SpaceToDepth(Tensor, int[])

ReferenceComputeOps.MaxPool2D(Tensor, int[], int[], int[])

ReferenceComputeOps.AvgPool2D(Tensor, int[], int[], int[])

ReferenceComputeOps.GlobalPool2D(string, Tensor)

ReferenceComputeOps.ApplyPadding3D(Tensor, int[], string, float)

ReferenceComputeOps.Border2D(Tensor, int[], float)

ReferenceComputeOps.Border3D(Tensor, int[], float)

ReferenceComputeOps.Pad2DReflect(Tensor, int[])

ReferenceComputeOps.Pad2DSymmetric(Tensor, int[])

ReferenceComputeOps.Pad2DEdge(Tensor, int[])

ReferenceComputeOps.LRN(Tensor, float, float, float, int)

ReferenceComputeOps.Dropout(Tensor, float)

ReferenceComputeOps.Relu(Tensor)

ReferenceComputeOps.Tanh(Tensor)

ReferenceComputeOps.Softplus(Tensor)

ReferenceComputeOps.Sigmoid(Tensor)

ReferenceComputeOps.HardSigmoid(Tensor, float, float)

ReferenceComputeOps.Relu6(Tensor)

ReferenceComputeOps.Elu(Tensor, float)

ReferenceComputeOps.LeakyRelu(Tensor, float)

ReferenceComputeOps.Selu(Tensor, float, float)

ReferenceComputeOps.Swish(Tensor)

ReferenceComputeOps.Abs(Tensor)

ReferenceComputeOps.Neg(Tensor)

ReferenceComputeOps.Ceil(Tensor)

ReferenceComputeOps.Clip(Tensor, float, float)

ReferenceComputeOps.Floor(Tensor)

ReferenceComputeOps.Round(Tensor)

ReferenceComputeOps.Reciprocal(Tensor)

ReferenceComputeOps.Pow(Tensor, float)

ReferenceComputeOps.Exp(Tensor)

ReferenceComputeOps.Log(Tensor)

ReferenceComputeOps.Sqrt(Tensor)

ReferenceComputeOps.Acos(Tensor)

ReferenceComputeOps.Acosh(Tensor)

ReferenceComputeOps.Asin(Tensor)

ReferenceComputeOps.Asinh(Tensor)

ReferenceComputeOps.Atan(Tensor)

ReferenceComputeOps.Atanh(Tensor)

ReferenceComputeOps.Cos(Tensor)

ReferenceComputeOps.Cosh(Tensor)

ReferenceComputeOps.Sin(Tensor)

ReferenceComputeOps.Sinh(Tensor)

ReferenceComputeOps.Tan(Tensor)

ReferenceComputeOps.Erf(Tensor)

ReferenceComputeOps.ConstantOfShape(TensorShape, DataType, float)

ReferenceComputeOps.Expand(Tensor, TensorShape)

ReferenceComputeOps.Add(Tensor[])

ReferenceComputeOps.Sub(Tensor[])

ReferenceComputeOps.Mul(Tensor[])

ReferenceComputeOps.Div(Tensor[])

ReferenceComputeOps.Pow(Tensor[])

ReferenceComputeOps.Min(Tensor[])

ReferenceComputeOps.Max(Tensor[])

ReferenceComputeOps.Mean(Tensor[])

ReferenceComputeOps.Greater(Tensor, Tensor)

ReferenceComputeOps.GreaterEqual(Tensor, Tensor)

ReferenceComputeOps.Less(Tensor, Tensor)

ReferenceComputeOps.LessEqual(Tensor, Tensor)

ReferenceComputeOps.Equal(Tensor, Tensor)

ReferenceComputeOps.LogicalOr(Tensor, Tensor)

ReferenceComputeOps.LogicalAnd(Tensor, Tensor)

ReferenceComputeOps.LogicalXor(Tensor, Tensor)

ReferenceComputeOps.OneHot(Tensor, int, float, float, int)

ReferenceComputeOps.RoiAlign(Tensor, Tensor, Tensor, int, int, int, float)

ReferenceComputeOps.Flatten(Tensor)

ReferenceComputeOps.Reshape(Tensor, TensorShape)

ReferenceComputeOps.GetOnDeviceShape(TensorShape)

ReferenceComputeOps.ConvertPermutationToDeviceLayout(int[])

ReferenceComputeOps.StridedSlice(Tensor, int[], int[], int[])

ReferenceComputeOps.Tile(Tensor, int[])

ReferenceComputeOps.Gather(Tensor[], int)

ReferenceComputeOps.ScatterND(Tensor, Tensor, Tensor, Layer.ScatterNDReductionMode)

ReferenceComputeOps.Copy(Tensor)

ReferenceComputeOps.Prepare(Tensor)

ReferenceComputeOps.PrepareNoAlloc(Tensor)

ReferenceCPUOps.PostLayerCleanup()

ReferenceCPUOps.NewTensor(DataType, TensorShape, AllocScope, string)

ReferenceCPUOps.NewTensorLike(Tensor, AllocScope)

ReferenceCPUOps.NewTensorLike(Tensor[], AllocScope, bool)

ReferenceCPUOps.NewTensorForFusedActivation(DataType, TensorShape, Layer.FusedActivation)

ReferenceCPUOps.NewOutputTensor(DataType, TensorShape, string)

ReferenceCPUOps.NewTempTensor(DataType, TensorShape, string)

ReferenceCPUOps.ResetAllocator(bool)

ReferenceCPUOps.SetModelExecutionsReporter(IModelExecutionsReporter)

ReferenceCPUOps.GetModelExecutionsReporter()

ReferenceCPUOps.Bernoulli(float)

ReferenceCPUOps.Gaussian(float, float)

ReferenceCPUOps.RandomNormal(TensorShape, float, float, int)

ReferenceCPUOps.RandomUniform(TensorShape, float, float, int)

ReferenceCPUOps.Multinomial(Tensor, int, int)

ReferenceCPUOps.TopKIndices(Tensor, int, int, bool, bool)

ReferenceCPUOps.NonZero(Tensor)

ReferenceCPUOps.TopKValues(Tensor, Tensor, int)

ReferenceCPUOps.Shape(Tensor, int)

ReferenceCPUOps.NonMaxSuppression(Tensor[], int, float, float, int)

ReferenceCPUOps.LSTM(Tensor, Tensor[], Tensor[], Tensor[], Tensor[], Tensor, Tensor)

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 ComputeOps : ReferenceComputeOps, IOps, IOpsStatistics

Constructors

ComputeOps(ITensorAllocator, bool)

Create ComputeOps

Declaration

public ComputeOps(ITensorAllocator allocator = null, bool verbose = false)

Parameters

Type	Name	Description
ITensorAllocator	allocator	allocator
bool	verbose	verbose flag

Methods

Activation(string, Tensor, float, float)

Generic activation function

Declaration

protected override Tensor Activation(string kernelName, Tensor X, float alpha = 0, float beta = 0)

Parameters

Type	Name	Description
string	kernelName	kernel name
Tensor	X	input
float	alpha	alpha
float	beta	beta

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Activation(string, Tensor, float, float)

ApplyPadding(Tensor, int[], string, float)

Apply padding

Declaration

protected override Tensor ApplyPadding(Tensor X, int[] pad, string kernelName, float constant = 0)

Parameters

Type	Name	Description
Tensor	X	input
int[]	pad	padding
string	kernelName	kernel name
float	constant	constant

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ApplyPadding(Tensor, int[], string, float)

ArgMax(Tensor, int)

ArgMax

Declaration

public override Tensor ArgMax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ArgMax(Tensor, int)

ArgMin(Tensor, int)

ArgMax

Declaration

public override Tensor ArgMin(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ArgMin(Tensor, int)

Concat(Tensor[], int)

Concatenate tensors across axis

Declaration

public override Tensor Concat(Tensor[] tensors, int axis)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Concat(Tensor[], int)

Conv2D(Tensor, Tensor, Tensor, int[], int[], FusedActivation)

2D convolution

Declaration

public override Tensor Conv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Tensor	X
Tensor	K
Tensor	B
int[]	stride	stride
int[]	pad	padding
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Conv2D(Tensor, Tensor, Tensor, int[], int[], Layer.FusedActivation)

Conv2DTrans(Tensor, Tensor, Tensor, int[], int[], int[], FusedActivation)

Transpose 2D convolution

Declaration

public override Tensor Conv2DTrans(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, int[] outputAdjustment, Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Tensor	X
Tensor	K
Tensor	B
int[]	stride	stride
int[]	pad	padding
int[]	outputAdjustment	output adjustments
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Conv2DTrans(Tensor, Tensor, Tensor, int[], int[], int[], Layer.FusedActivation)

Conv3D(Tensor, Tensor, Tensor, int[], int[], FusedActivation)

3D convolution

Declaration

public override Tensor Conv3D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Tensor	X
Tensor	K
Tensor	B
int[]	stride	stride
int[]	pad	padding
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Conv3D(Tensor, Tensor, Tensor, int[], int[], Layer.FusedActivation)

CopyAndReshape(Tensor, TensorShape)

Copy and reshape Tensor

Declaration

protected override Tensor CopyAndReshape(Tensor X, TensorShape newShape)

Parameters

Type	Name	Description
Tensor	X	input
TensorShape	newShape

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.CopyAndReshape(Tensor, TensorShape)

CopyAndReshape_NCHW(Tensor, TensorShape)

Copy and reshape tensor for NCHW layout

Declaration

protected override Tensor CopyAndReshape_NCHW(Tensor X, TensorShape newShape)

Parameters

Type	Name	Description
Tensor	X	input
TensorShape	newShape	new shape

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.CopyAndReshape_NCHW(Tensor, TensorShape)

Dense(Tensor, Tensor, Tensor, FusedActivation)

Dense layer (matrix multiplication) o = x ⨯ w + b

Declaration

public override Tensor Dense(Tensor X, Tensor W, Tensor B, Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Tensor	X
Tensor	W
Tensor	B
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Dense(Tensor, Tensor, Tensor, Layer.FusedActivation)

Dense3(Tensor, Tensor, Tensor)

rank3 Dense layer (matrix multiplication) o = x ⨯ w + b O: N,,W,C / X: N,,W,C / W:N,,,C / B:N,,,_

Declaration

public override Tensor Dense3(Tensor X, Tensor W, Tensor B)

Parameters

Type	Name	Description
Tensor	X
Tensor	W
Tensor	B

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Dense3(Tensor, Tensor, Tensor)

DepthwiseConv2D(Tensor, Tensor, Tensor, int[], int[], FusedActivation)

Depthwise 2D convolution

Declaration

public override Tensor DepthwiseConv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Tensor	X
Tensor	K
Tensor	B
int[]	stride	stride
int[]	pad	padding
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.DepthwiseConv2D(Tensor, Tensor, Tensor, int[], int[], Layer.FusedActivation)

ElementwiseWithBroadcast(string, Tensor[])

Elementwise broadcast for specified kernel

Declaration

protected override Tensor ElementwiseWithBroadcast(string kernelName, Tensor[] tensors)

Parameters

Type	Name	Description
string	kernelName	kernel name
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ElementwiseWithBroadcast(string, Tensor[])

Exceptions

Type	Condition
NotImplementedException	thrown if input Tensor is not compatible with 4D shape

GlobalAvgPool2D(Tensor)

2D global average pooling

Declaration

public override Tensor GlobalAvgPool2D(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.GlobalAvgPool2D(Tensor)

GlobalAvgVariancePool2D(Tensor)

2D global average variance pooling

Declaration

public override Tensor GlobalAvgVariancePool2D(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.GlobalAvgVariancePool2D(Tensor)

GlobalMaxPool2D(Tensor)

2D global max pooling

Declaration

public override Tensor GlobalMaxPool2D(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.GlobalMaxPool2D(Tensor)

GlobalPool2D(string, string, Tensor)

Generic global 2D pooling

Declaration

protected virtual Tensor GlobalPool2D(string smallKernelName, string globalKernelName, Tensor X)

Parameters

Type	Name	Description
string	smallKernelName	small kernel name
string	globalKernelName	global kernel name
Tensor	X	input

Returns

Type	Description
Tensor	output Tensor

LogSoftmax(Tensor, int)

LogSoftmax

Declaration

public override Tensor LogSoftmax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.LogSoftmax(Tensor, int)

LogicalNot(Tensor)

Not

Declaration

public override Tensor LogicalNot(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	Tensor with !x values

Overrides

ReferenceComputeOps.LogicalNot(Tensor)

MatMul(Tensor, bool, Tensor, bool)

Simple 2D matrix multiplication O = X ⨯ Y

Declaration

public override Tensor MatMul(Tensor X, bool xTranspose, Tensor Y, bool yTranspose)

Parameters

Type	Name	Description
Tensor	X	left Tensor
bool	xTranspose	X transposed data flag
Tensor	Y	right Tensor
bool	yTranspose	Y transposed data flag

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.MatMul(Tensor, bool, Tensor, bool)

MatMul(Tensor, int, Tensor, int)

Multidimensional Matrix multiplication o = x ⨯ y

Declaration

public override Tensor MatMul(Tensor X, int rankX, Tensor Y, int rankY)

Parameters

Type	Name	Description
Tensor	X
int	rankX	rank of x
Tensor	Y
int	rankY	rank of y

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.MatMul(Tensor, int, Tensor, int)

Normalization(Tensor, Tensor, Tensor, int, int, float, FusedActivation)

Normalization

Declaration

public override Tensor Normalization(Tensor X, Tensor S, Tensor B, int pool, int axis, float epsilon, Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Tensor	X
Tensor	S
Tensor	B
int	pool	pooling
int	axis	axis
float	epsilon	threshold
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Normalization(Tensor, Tensor, Tensor, int, int, float, Layer.FusedActivation)

PRelu(Tensor, Tensor)

PReLU

Declaration

public override Tensor PRelu(Tensor X, Tensor S)

Parameters

Type	Name	Description
Tensor	X
Tensor	S

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.PRelu(Tensor, Tensor)

Pool2D(string, Tensor, int[], int[], int[])

Declaration

protected override Tensor Pool2D(string kernelName, Tensor X, int[] pool, int[] stride, int[] pad)

Parameters

Type	Name	Description
string	kernelName
Tensor	X
int[]	pool
int[]	stride
int[]	pad

Returns

Type	Description
Tensor

Overrides

ReferenceComputeOps.Pool2D(string, Tensor, int[], int[], int[])

ReduceHelper(Type, Tensor, int, AllocScope)

Declaration

protected virtual Tensor ReduceHelper(Layer.Type kernelName, Tensor X, int axis, AllocScope outputScope)

Parameters

Type	Name	Description
Layer.Type	kernelName
Tensor	X
int	axis
AllocScope	outputScope

Returns

Type	Description
Tensor

ReduceMax(Tensor, int)

Reduce with max

Declaration

public override Tensor ReduceMax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ReduceMax(Tensor, int)

ReduceMean(Tensor, int)

Reduce with mean

Declaration

public override Tensor ReduceMean(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ReduceMean(Tensor, int)

ReduceMin(Tensor, int)

Reduce with min

Declaration

public override Tensor ReduceMin(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ReduceMin(Tensor, int)

ReduceProd(Tensor, int)

Reduce with product

Declaration

public override Tensor ReduceProd(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ReduceProd(Tensor, int)

ReduceSum(Tensor, int)

Reduce with sum

Declaration

public override Tensor ReduceSum(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ReduceSum(Tensor, int)

ScaleBias(Tensor, Tensor, Tensor)

Scale bias o = s * x + b, element wise

Declaration

public override Tensor ScaleBias(Tensor X, Tensor S, Tensor B)

Parameters

Type	Name	Description
Tensor	X
Tensor	S
Tensor	B

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.ScaleBias(Tensor, Tensor, Tensor)

Sign(Tensor)

Sign

Declaration

public override Tensor Sign(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	Tensor with 1 if x > 0 -1 if < 0 and 0 if == 0 values

Overrides

ReferenceComputeOps.Sign(Tensor)

Softmax(Tensor, int)

Softmax

Declaration

public override Tensor Softmax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
int	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Softmax(Tensor, int)

Transpose(Tensor)

Transpose matrix

Declaration

public override Tensor Transpose(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Transpose(Tensor)

Transpose(Tensor, int[])

Transpose according to permutations

Declaration

public override Tensor Transpose(Tensor X, int[] permutations)

Parameters

Type	Name	Description
Tensor	X
int[]	permutations	new axis order

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Transpose(Tensor, int[])

Upsample2D(Tensor, int[], bool)

Upsample 2D

Declaration

public override Tensor Upsample2D(Tensor X, int[] scale, bool bilinear)

Parameters

Type	Name	Description
Tensor	X
int[]	scale	scale
bool	bilinear	bilinear flag

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceComputeOps.Upsample2D(Tensor, int[], bool)

Where(Tensor, Tensor, Tensor)

Where

Declaration

public override Tensor Where(Tensor C, Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	C
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with values c ? a : b

Overrides

ReferenceComputeOps.Where(Tensor, Tensor, Tensor)

Implements

IOps

IOpsStatistics