Class PixelShaderOps

Inheritance

Object

ReferenceCPUOps

PixelShaderOps

Inherited Members

ReferenceCPUOps.PostLayerCleanup()

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

ReferenceCPUOps.NewTensorLike(Tensor, AllocScope)

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

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.MatMul(Tensor, Int32, Tensor, Int32)

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

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

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

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

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

ReferenceCPUOps.NonZero(Tensor)

ReferenceCPUOps.TopKValues(Tensor, Tensor, Int32)

ReferenceCPUOps.ConstantOfShape(TensorShape, DataType, Single)

ReferenceCPUOps.Shape(Tensor, Int32)

ReferenceCPUOps.CopyAndReshape(Tensor, TensorShape)

ReferenceCPUOps.Expand(Tensor, TensorShape)

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

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

ReferenceCPUOps.Transpose(Tensor)

Object.ToString()

Object.Equals(Object)

Object.Equals(Object, Object)

Object.ReferenceEquals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Namespace: Unity.Barracuda

Syntax

public class PixelShaderOps : ReferenceCPUOps, IOps, IOpsStatistics

Constructors

PixelShaderOps(ITensorAllocator)

Declaration

public PixelShaderOps(ITensorAllocator allocator = null)

Parameters

Type	Name	Description
ITensorAllocator	allocator

Methods

Abs(Tensor)

Abs

Declaration

public override Tensor Abs(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Abs(Tensor)

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)

Activation(String, Tensor, Single, Single)

Generic activation function

Declaration

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

Parameters

Type	Name	Description
String	kernelName	kernel name
Tensor	X	input
Single	alpha	alpha
Single	beta	beta

Returns

Type	Description
Tensor	output 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[])

ApplyPadding(Tensor, Int32[], String, Single)

Apply padding

Declaration

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

Parameters

Type	Name	Description
Tensor	X	input
Int32[]	pad	padding
String	kernelName	kernel name
Single	constant	constant

Returns

Type	Description
Tensor	output Tensor

ArgMax(Tensor, Int32)

ArgMax

Declaration

public override Tensor ArgMax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.ArgMax(Tensor, Int32)

ArgMin(Tensor, Int32)

ArgMax

Declaration

public override Tensor ArgMin(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.ArgMin(Tensor, Int32)

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[])

Border2D(Tensor, Int32[], Single)

2D border padding

Declaration

public override Tensor Border2D(Tensor X, int[] pad, float constant)

Parameters

Type	Name	Description
Tensor	X
Int32[]	pad	padding
Single	constant

Returns

Type	Description
Tensor	output Tensor

Overrides

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

Ceil(Tensor)

Ceil

Declaration

public override Tensor Ceil(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Ceil(Tensor)

Clip(Tensor, Single, Single)

Clip

Declaration

public override Tensor Clip(Tensor X, float min, float max)

Parameters

Type	Name	Description
Tensor	X
Single	min	min value
Single	max	max value

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Clip(Tensor, Single, Single)

Concat(Tensor[], Int32)

Concatenate tensors across axis

Declaration

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

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Concat(Tensor[], 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)

Conv2DTrans(Tensor, Tensor, Tensor, Int32[], Int32[], Int32[], Layer.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
Int32[]	stride	stride
Int32[]	pad	padding
Int32[]	outputAdjustment	output adjustments
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

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

Copy(Tensor)

Copy

Declaration

public override Tensor Copy(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Copy(Tensor)

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)

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

ReferenceCPUOps.Dense3(Tensor, Tensor, Tensor)

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

Depth to space

Declaration

public override Tensor DepthToSpace(Tensor X, int[] blocksize, Layer.DepthToSpaceMode mode)

Parameters

Type	Name	Description
Tensor	X
Int32[]	blocksize
Layer.DepthToSpaceMode	mode	mode

Returns

Type	Description
Tensor	output Tensor

Overrides

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

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[])

ElementwiseWithBroadcast(String, Tensor[])

Elementwise broadcast for specified kernel

Declaration

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

Parameters

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

Returns

Type	Description
Tensor	output Tensor

Exceptions

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

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)

Flatten(Tensor)

Flatten

Declaration

public override Tensor Flatten(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Flatten(Tensor)

Floor(Tensor)

Floor

Declaration

public override Tensor Floor(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Floor(Tensor)

Gather(Tensor[], Int32)

Gather

Declaration

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

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Gather(Tensor[], Int32)

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)

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

ReferenceCPUOps.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

ReferenceCPUOps.GlobalMaxPool2D(Tensor)

GlobalPool2D(String, Tensor)

Generic pooling 2D

Declaration

protected virtual Tensor GlobalPool2D(string kernelName, Tensor X)

Parameters

Type	Name	Description
String	kernelName	kernel name
Tensor	X	input

Returns

Type	Description
Tensor	output 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)

IsFusedActivationSupported(Layer.FusedActivation)

Check if fusedActivation is supported in-place

Declaration

protected override bool IsFusedActivationSupported(Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Boolean	true if supported in-place

Overrides

ReferenceCPUOps.IsFusedActivationSupported(Layer.FusedActivation)

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)

Log(Tensor)

Log

Declaration

public override Tensor Log(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Log(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)

LogSoftmax(Tensor, Int32)

LogSoftmax

Declaration

public override Tensor LogSoftmax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.LogSoftmax(Tensor, Int32)

LRN(Tensor, Single, Single, Single, Int32)

LRN (Local Response Normalization)

Declaration

public override Tensor LRN(Tensor X, float alpha, float beta, float bias, int size)

Parameters

Type	Name	Description
Tensor	X
Single	alpha	alpha
Single	beta	beta
Single	bias	bias
Int32	size	size

Returns

Type	Description
Tensor	output Tensor

Overrides

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

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[])

Mean(Tensor[])

Mean

Declaration

public override Tensor Mean(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Mean(Tensor[])

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)

Normalization(Tensor, Tensor, Tensor, Int32, Int32, Single, Layer.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
Int32	pool	pooling
Int32	axis	axis
Single	epsilon	threshold
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

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

OneHot(Tensor, Int32, Single, Single, Int32)

One hot

Declaration

public override Tensor OneHot(Tensor X, int depth, float onValue, float offValue, int inputRank = -1)

Parameters

Type	Name	Description
Tensor	X
Int32	depth	output depth
Single	onValue	on value
Single	offValue	off value
Int32	inputRank	input rank helper

Returns

Type	Description
Tensor	output Tensor

Overrides

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

Pad2DEdge(Tensor, Int32[])

Edge padding

Declaration

public override Tensor Pad2DEdge(Tensor X, int[] pad)

Parameters

Type	Name	Description
Tensor	X
Int32[]	pad	padding

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Pad2DEdge(Tensor, Int32[])

Pad2DReflect(Tensor, Int32[])

Reflection padding

Declaration

public override Tensor Pad2DReflect(Tensor X, int[] pad)

Parameters

Type	Name	Description
Tensor	X
Int32[]	pad	padding

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Pad2DReflect(Tensor, Int32[])

Pad2DSymmetric(Tensor, Int32[])

Symmetric padding

Declaration

public override Tensor Pad2DSymmetric(Tensor X, int[] pad)

Parameters

Type	Name	Description
Tensor	X
Int32[]	pad	padding

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Pad2DSymmetric(Tensor, Int32[])

Pin(Tensor, Boolean)

Declaration

public TextureTensorData Pin(Tensor X, bool uploadCache = true)

Parameters

Type	Name	Description
Tensor	X
Boolean	uploadCache

Returns

Type	Description
TextureTensorData

Pool2D(String, Tensor, Int32[], Int32[], Int32[])

Declaration

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

Parameters

Type	Name	Description
String	kernelName
Tensor	X
Int32[]	pool
Int32[]	stride
Int32[]	pad

Returns

Type	Description
Tensor

Pow(Tensor, Single)

Power

Declaration

public override Tensor Pow(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha	alpha

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Pow(Tensor, Single)

Pow(Tensor[])

Raise tensors to the power o =tensors[0] ^ tensors[1] ^ ... ^ tensors[N-1]

Declaration

public override Tensor Pow(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Pow(Tensor[])

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)

Reciprocal(Tensor)

Reciprocal (1/x)

Declaration

public override Tensor Reciprocal(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Reciprocal(Tensor)

ReduceMax(Tensor, Int32)

Reduce with max

Declaration

public override Tensor ReduceMax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.ReduceMax(Tensor, Int32)

ReduceMean(Tensor, Int32)

Reduce with mean

Declaration

public override Tensor ReduceMean(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.ReduceMean(Tensor, Int32)

ReduceMin(Tensor, Int32)

Reduce with min

Declaration

public override Tensor ReduceMin(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.ReduceMin(Tensor, Int32)

ReduceProd(Tensor, Int32)

Reduce with product

Declaration

public override Tensor ReduceProd(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.ReduceProd(Tensor, Int32)

ReduceSum(Tensor, Int32)

Reduce with sum

Declaration

public override Tensor ReduceSum(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.ReduceSum(Tensor, Int32)

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)

Resample2D(Tensor, Int32[], Boolean)

Resample 2D

Declaration

public override Tensor Resample2D(Tensor X, int[] size, bool bilinear)

Parameters

Type	Name	Description
Tensor	X
Int32[]	size	size
Boolean	bilinear	bilinear flag

Returns

Type	Description
Tensor	output Tensor

Overrides

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

Reshape(Tensor, TensorShape)

Reshape

Declaration

public override Tensor Reshape(Tensor X, TensorShape newShape)

Parameters

Type	Name	Description
Tensor	X
TensorShape	newShape

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Reshape(Tensor, TensorShape)

Round(Tensor)

Round to nearest integer. In case of halfs, round to nearest even integer

Declaration

public override Tensor Round(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Round(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)

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

Declaration

public override Tensor ScatterND(Tensor X, Tensor indices, Tensor updates, Layer.ScatterNDReductionMode reduction)

Parameters

Type	Name	Description
Tensor	X
Tensor	indices
Tensor	updates
Layer.ScatterNDReductionMode	reduction

Returns

Type	Description
Tensor

Overrides

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

Selu(Tensor, Single, Single)

SELU

Declaration

public override Tensor Selu(Tensor X, float alpha, float gamma)

Parameters

Type	Name	Description
Tensor	X
Single	alpha	alpha
Single	gamma	gamma

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Selu(Tensor, Single, Single)

ShouldFlattenInputForDenseLayer(TensorShape)

Check if Flatten is needed for Dense layer input

Declaration

protected bool ShouldFlattenInputForDenseLayer(TensorShape X)

Parameters

Type	Name	Description
TensorShape	X	input shape

Returns

Type	Description
Boolean	true if Flatten is needed

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)

Softmax(Tensor, Int32)

Softmax

Declaration

public override Tensor Softmax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis	axis

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Softmax(Tensor, Int32)

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)

SpaceToDepth(Tensor, Int32[])

Space to depth

Declaration

public override Tensor SpaceToDepth(Tensor X, int[] blocksize)

Parameters

Type	Name	Description
Tensor	X
Int32[]	blocksize

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.SpaceToDepth(Tensor, Int32[])

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)

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

Strided slice

Declaration

public override Tensor StridedSlice(Tensor X, int[] starts, int[] ends, int[] strides)

Parameters

Type	Name	Description
Tensor	X
Int32[]	starts
Int32[]	ends
Int32[]	strides

Returns

Type	Description
Tensor	output Tensor

Overrides

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

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)

TensorToRenderTexture(Tensor, RenderTexture, Int32, Int32, Vector4, Vector4, Texture3D, Boolean)

Copy Tensor data to RenderTexture

Declaration

public void TensorToRenderTexture(Tensor X, RenderTexture target, int batch, int fromChannel, Vector4 scale, Vector4 bias, Texture3D lut, bool flipY = true)

Parameters

Type	Name	Description
Tensor	X	source Tensor
RenderTexture	target	target RenderTexture
Int32	batch	batch
Int32	fromChannel	from channel
Vector4	scale	scale
Vector4	bias	bias
Texture3D	lut	LUT table
Boolean	flipY	flips the texture along the Y dimension (optional, default: true)

Tile(Tensor, Int32[])

Tile

Declaration

public override Tensor Tile(Tensor X, int[] repeats)

Parameters

Type	Name	Description
Tensor	X
Int32[]	repeats	repetition counts

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Tile(Tensor, Int32[])

Transpose(Tensor, Int32[])

Transpose according to permutations

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	permutations	new axis order

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Transpose(Tensor, Int32[])

Upsample2D(Tensor, Int32[], Boolean)

Upsample 2D

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	scale	scale
Boolean	bilinear	bilinear flag

Returns

Type	Description
Tensor	output Tensor

Overrides

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

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)