Class UnsafeArrayCPUOps

Unsafe array based IOps implementation

Inheritance

Object

ReferenceCPUOps

UnsafeArrayCPUOps

BurstCPUOps

Inherited Members

ReferenceCPUOps.PostLayerCleanup()

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

ReferenceCPUOps.NewTensorLike(Tensor, AllocScope)

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

ReferenceCPUOps.IsFusedActivationSupported(Layer.FusedActivation)

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

ReferenceCPUOps.NewOutputTensor(DataType, TensorShape, String)

ReferenceCPUOps.NewTempTensor(DataType, TensorShape, String)

ReferenceCPUOps.ResetAllocator(Boolean)

ReferenceCPUOps.SetModelExecutionsReporter(IModelExecutionsReporter)

ReferenceCPUOps.GetModelExecutionsReporter()

ReferenceCPUOps.Dense3(Tensor, Tensor, Tensor)

ReferenceCPUOps.MatMul(Tensor, Int32, Tensor, Int32)

ReferenceCPUOps.Conv3D(Tensor, Tensor, Tensor, Int32[], Int32[], Layer.FusedActivation)

ReferenceCPUOps.Conv2DTrans(Tensor, Tensor, Tensor, Int32[], Int32[], Int32[], Layer.FusedActivation)

ReferenceCPUOps.Upsample3D(Tensor, Int32[], Boolean)

ReferenceCPUOps.Upsample2D(Tensor, Int32[], Boolean)

ReferenceCPUOps.Resample2D(Tensor, Int32[], Boolean)

ReferenceCPUOps.DepthToSpace(Tensor, Int32[], Layer.DepthToSpaceMode)

ReferenceCPUOps.SpaceToDepth(Tensor, Int32[])

ReferenceCPUOps.GlobalAvgVariancePool2D(Tensor)

ReferenceCPUOps.Border2D(Tensor, Int32[], Single)

ReferenceCPUOps.Border3D(Tensor, Int32[], Single)

ReferenceCPUOps.Pad2DReflect(Tensor, Int32[])

ReferenceCPUOps.Pad2DSymmetric(Tensor, Int32[])

ReferenceCPUOps.Pad2DEdge(Tensor, Int32[])

ReferenceCPUOps.LRN(Tensor, Single, Single, Single, Int32)

ReferenceCPUOps.Normalization(Tensor, Tensor, Tensor, Int32, Int32, Single, Layer.FusedActivation)

ReferenceCPUOps.Bernoulli(Single)

ReferenceCPUOps.Gaussian(Single, Single)

ReferenceCPUOps.Dropout(Tensor, Single)

ReferenceCPUOps.RandomNormal(TensorShape, Single, Single, Int32)

ReferenceCPUOps.RandomUniform(TensorShape, Single, Single, Int32)

ReferenceCPUOps.Multinomial(Tensor, Int32, Int32)

ReferenceCPUOps.OneHot(Tensor, Int32, Single, Single, Int32)

ReferenceCPUOps.RoiAlign(Tensor, Tensor, Tensor, Int32, Int32, Int32, Single)

ReferenceCPUOps.TopKIndices(Tensor, Int32, Int32, Boolean, Boolean)

ReferenceCPUOps.NonZero(Tensor)

ReferenceCPUOps.TopKValues(Tensor, Tensor, Int32)

ReferenceCPUOps.Softmax(Tensor, Int32)

ReferenceCPUOps.LogSoftmax(Tensor, Int32)

ReferenceCPUOps.Selu(Tensor, Single, Single)

ReferenceCPUOps.Abs(Tensor)

ReferenceCPUOps.Ceil(Tensor)

ReferenceCPUOps.Clip(Tensor, Single, Single)

ReferenceCPUOps.Floor(Tensor)

ReferenceCPUOps.Round(Tensor)

ReferenceCPUOps.Reciprocal(Tensor)

ReferenceCPUOps.Pow(Tensor, Single)

ReferenceCPUOps.Log(Tensor)

ReferenceCPUOps.Concat(Tensor[], Int32)

ReferenceCPUOps.StridedSlice(Tensor, Int32[], Int32[], Int32[])

ReferenceCPUOps.Tile(Tensor, Int32[])

ReferenceCPUOps.ConstantOfShape(TensorShape, DataType, Single)

ReferenceCPUOps.Shape(Tensor, Int32)

ReferenceCPUOps.Pow(Tensor[])

ReferenceCPUOps.Mean(Tensor[])

ReferenceCPUOps.ReduceMin(Tensor, Int32)

ReferenceCPUOps.ReduceMax(Tensor, Int32)

ReferenceCPUOps.ArgMax(Tensor, Int32)

ReferenceCPUOps.ArgMin(Tensor, Int32)

ReferenceCPUOps.ReduceSum(Tensor, Int32)

ReferenceCPUOps.ReduceMean(Tensor, Int32)

ReferenceCPUOps.ReduceProd(Tensor, Int32)

ReferenceCPUOps.Copy(Tensor)

ReferenceCPUOps.Flatten(Tensor)

ReferenceCPUOps.Reshape(Tensor, TensorShape)

ReferenceCPUOps.Expand(Tensor, TensorShape)

ReferenceCPUOps.Gather(Tensor[], Int32)

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

ReferenceCPUOps.NonMaxSuppression(Tensor[], Int32, Single, Single, Int32)

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

ReferenceCPUOps.Transpose(Tensor)

ReferenceCPUOps.Transpose(Tensor, Int32[])

Namespace: Unity.Barracuda

Syntax

public class UnsafeArrayCPUOps : ReferenceCPUOps, IOps, IOpsStatistics

Constructors

UnsafeArrayCPUOps(ITensorAllocator)

Create UnsafeArrayCPUOps

Declaration

public UnsafeArrayCPUOps(ITensorAllocator allocator = null)

Parameters

Type	Name	Description
ITensorAllocator	allocator	allocator

Methods

Acos(Tensor)

Acos

Declaration

public override Tensor Acos(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Acos(Tensor)

Acosh(Tensor)

Acosh

Declaration

public override Tensor Acosh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Acosh(Tensor)

Add(Tensor[])

Add tensors together

Declaration

public override Tensor Add(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Add(Tensor[])

ApplyFusedActivation(Tensor, Layer.FusedActivation)

Apply fused activation

Declaration

protected Tensor ApplyFusedActivation(Tensor X, Layer.FusedActivation fusedActivation)

Parameters

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

Returns

Type	Description
Tensor	output Tensor

Asin(Tensor)

Asin

Declaration

public override Tensor Asin(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Asin(Tensor)

Asinh(Tensor)

Asinh

Declaration

public override Tensor Asinh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Asinh(Tensor)

Atan(Tensor)

Atan

Declaration

public override Tensor Atan(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Atan(Tensor)

Atanh(Tensor)

Atanh

Declaration

public override Tensor Atanh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Atanh(Tensor)

AvgPool2D(Tensor, Int32[], Int32[], Int32[])

2D average pooling

Declaration

public override Tensor AvgPool2D(Tensor X, int[] pool, int[] stride, int[] pad)

Parameters

Type	Name	Description
Tensor	X
Int32[]	pool	pooling
Int32[]	stride	stride
Int32[]	pad	padding

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.AvgPool2D(Tensor, Int32[], Int32[], Int32[])

Conv2D(Tensor, Tensor, Tensor, Int32[], Int32[], Layer.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
Int32[]	stride	stride
Int32[]	pad	padding
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Conv2D(Tensor, Tensor, Tensor, Int32[], Int32[], Layer.FusedActivation)

CopyAndReshape(Tensor, TensorShape)

Copy and reshape Tensor

Declaration

protected override Tensor CopyAndReshape(Tensor X, TensorShape shape)

Parameters

Type	Name	Description
Tensor	X	input
TensorShape	shape	shape

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.CopyAndReshape(Tensor, TensorShape)

Cos(Tensor)

Cos

Declaration

public override Tensor Cos(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Cos(Tensor)

Cosh(Tensor)

Cosh

Declaration

public override Tensor Cosh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Cosh(Tensor)

Dense(Tensor, Tensor, Tensor, Layer.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

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

DepthwiseConv2D(Tensor, Tensor, Tensor, Int32[], Int32[], Layer.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
Int32[]	stride	stride
Int32[]	pad	padding
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.DepthwiseConv2D(Tensor, Tensor, Tensor, Int32[], Int32[], Layer.FusedActivation)

Div(Tensor[])

Divide tensors o = tensors[0] / tensors[1] / ... / tensors[N-1]

Declaration

public override Tensor Div(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Div(Tensor[])

Elu(Tensor, Single)

ELU

Declaration

public override Tensor Elu(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha	alpha

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Elu(Tensor, Single)

Equal(Tensor, Tensor)

Equal

Declaration

public override Tensor Equal(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a == b

Overrides

ReferenceCPUOps.Equal(Tensor, Tensor)

Erf(Tensor)

Erf

Declaration

public override Tensor Erf(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Erf(Tensor)

Exp(Tensor)

Exponent e^x

Declaration

public override Tensor Exp(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Exp(Tensor)

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

ReferenceCPUOps.GlobalAvgPool2D(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

ReferenceCPUOps.GlobalMaxPool2D(Tensor)

Greater(Tensor, Tensor)

Greater

Declaration

public override Tensor Greater(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a > b

Overrides

ReferenceCPUOps.Greater(Tensor, Tensor)

GreaterEqual(Tensor, Tensor)

Greater or equal

Declaration

public override Tensor GreaterEqual(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a >= b

Overrides

ReferenceCPUOps.GreaterEqual(Tensor, Tensor)

HardSigmoid(Tensor, Single, Single)

HardSigmoid

Declaration

public override Tensor HardSigmoid(Tensor X, float alpha, float beta)

Parameters

Type	Name	Description
Tensor	X
Single	alpha	alpha
Single	beta

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.HardSigmoid(Tensor, Single, Single)

LeakyRelu(Tensor, Single)

Leaky ReLU

Declaration

public override Tensor LeakyRelu(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha	alpha

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.LeakyRelu(Tensor, Single)

Less(Tensor, Tensor)

Less

Declaration

public override Tensor Less(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a < b

Overrides

ReferenceCPUOps.Less(Tensor, Tensor)

LessEqual(Tensor, Tensor)

Less or equal

Declaration

public override Tensor LessEqual(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a < b

Overrides

ReferenceCPUOps.LessEqual(Tensor, Tensor)

LogicalAnd(Tensor, Tensor)

And

Declaration

public override Tensor LogicalAnd(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a && b

Overrides

ReferenceCPUOps.LogicalAnd(Tensor, Tensor)

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

ReferenceCPUOps.LogicalNot(Tensor)

LogicalOr(Tensor, Tensor)

Or

Declaration

public override Tensor LogicalOr(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a || b

Overrides

ReferenceCPUOps.LogicalOr(Tensor, Tensor)

LogicalXor(Tensor, Tensor)

Xor

Declaration

public override Tensor LogicalXor(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a xor b

Overrides

ReferenceCPUOps.LogicalXor(Tensor, Tensor)

MatMul(Tensor, Boolean, Tensor, Boolean)

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
Boolean	xTranspose	X transposed data flag
Tensor	Y	right Tensor
Boolean	yTranspose	Y transposed data flag

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.MatMul(Tensor, Boolean, Tensor, Boolean)

Max(Tensor[])

Max

Declaration

public override Tensor Max(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Max(Tensor[])

MaxPool2D(Tensor, Int32[], Int32[], Int32[])

2D max pooling

Declaration

public override Tensor MaxPool2D(Tensor X, int[] pool, int[] stride, int[] pad)

Parameters

Type	Name	Description
Tensor	X
Int32[]	pool	pooling
Int32[]	stride	stride
Int32[]	pad	padding

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.MaxPool2D(Tensor, Int32[], Int32[], Int32[])

Min(Tensor[])

Min

Declaration

public override Tensor Min(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Min(Tensor[])

Mul(Tensor[])

Multiply tensors together

Declaration

public override Tensor Mul(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Mul(Tensor[])

Neg(Tensor)

Neg

Declaration

public override Tensor Neg(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Neg(Tensor)

Pin(Tensor, Boolean)

Pin specified Tensor to unsafe array based CPU device, if uploadCache is false, data is not uploaded to device

Declaration

public static UnsafeArrayTensorData Pin(Tensor X, bool uploadCache = true)

Parameters

Type	Name	Description
Tensor	X	Tensor
Boolean	uploadCache	bool

Returns

Type	Description
UnsafeArrayTensorData	UnsafeArrayTensorData

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

ReferenceCPUOps.PRelu(Tensor, Tensor)

Prepare(Tensor)

Prepares tensor for use

Declaration

public override Tensor Prepare(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	Tensor

Overrides

ReferenceCPUOps.Prepare(Tensor)

PrepareNoAlloc(Tensor)

Prepares tensor for use without uploading internal data to device

Declaration

public override Tensor PrepareNoAlloc(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	Tensor

Overrides

ReferenceCPUOps.PrepareNoAlloc(Tensor)

Relu(Tensor)

ReLU

Declaration

public override Tensor Relu(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Relu(Tensor)

Relu6(Tensor)

ReLU capped to 6

Declaration

public override Tensor Relu6(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Relu6(Tensor)

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

ReferenceCPUOps.ScaleBias(Tensor, Tensor, Tensor)

Sigmoid(Tensor)

Sigmoid

Declaration

public override Tensor Sigmoid(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sigmoid(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

ReferenceCPUOps.Sign(Tensor)

Sin(Tensor)

Sin

Declaration

public override Tensor Sin(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sin(Tensor)

Sinh(Tensor)

Sinh

Declaration

public override Tensor Sinh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sinh(Tensor)

Softplus(Tensor)

Softplus

Declaration

public override Tensor Softplus(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Softplus(Tensor)

Sqrt(Tensor)

Sqrt

Declaration

public override Tensor Sqrt(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sqrt(Tensor)

Sub(Tensor[])

Subtract tensors o = tensors[0] - tensors[1] - ... - tensors[N-1]

Declaration

public override Tensor Sub(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sub(Tensor[])

Swish(Tensor)

Swish

Declaration

public override Tensor Swish(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Swish(Tensor)

Tan(Tensor)

Tan

Declaration

public override Tensor Tan(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Tan(Tensor)

Tanh(Tensor)

Tanh

Declaration

public override Tensor Tanh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Tanh(Tensor)

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

ReferenceCPUOps.Where(Tensor, Tensor, Tensor)