Class BurstCPUOps

Burst specific implementation of IOps

Inheritance

Object

ReferenceCPUOps

UnsafeArrayCPUOps

BurstCPUOps

Inherited Members

UnsafeArrayCPUOps.Greater(Tensor, Tensor)

UnsafeArrayCPUOps.GreaterEqual(Tensor, Tensor)

UnsafeArrayCPUOps.Less(Tensor, Tensor)

UnsafeArrayCPUOps.LessEqual(Tensor, Tensor)

UnsafeArrayCPUOps.Equal(Tensor, Tensor)

UnsafeArrayCPUOps.LogicalOr(Tensor, Tensor)

UnsafeArrayCPUOps.LogicalAnd(Tensor, Tensor)

UnsafeArrayCPUOps.LogicalXor(Tensor, Tensor)

UnsafeArrayCPUOps.LogicalNot(Tensor)

UnsafeArrayCPUOps.Sign(Tensor)

UnsafeArrayCPUOps.Where(Tensor, Tensor, Tensor)

UnsafeArrayCPUOps.ApplyFusedActivation(Tensor, Layer.FusedActivation)

UnsafeArrayCPUOps.Pad2DEdge(Tensor, Int32[])

UnsafeArrayCPUOps.Pad2DReflect(Tensor, Int32[])

UnsafeArrayCPUOps.Pad2DSymmetric(Tensor, Int32[])

ReferenceCPUOps.PostLayerCleanup()

ReferenceCPUOps.NewTensor(TensorShape, AllocScope, String)

ReferenceCPUOps.NewTensorLike(Tensor, AllocScope)

ReferenceCPUOps.NewTensorLike(Tensor[], AllocScope)

ReferenceCPUOps.NewTensor(Int32, Int32, AllocScope, String)

ReferenceCPUOps.NewTensor(Int32, Int32, Int32, Int32, AllocScope, String)

ReferenceCPUOps.ResetAllocator(Boolean)

ReferenceCPUOps.SetModelExecutionsReporter(IModelExecutionsReporter)

ReferenceCPUOps.GetModelExecutionsReporter()

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.Border3D(Tensor, Int32[], Single)

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.Multinomial(Tensor, Int32, Int32)

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

ReferenceCPUOps.NonZero(Tensor)

ReferenceCPUOps.TopKValues(Tensor, Tensor, Int32)

ReferenceCPUOps.ConstantOfShape(TensorShape, Single)

ReferenceCPUOps.Shape(Tensor, Int32)

ReferenceCPUOps.Mean(Tensor[])

ReferenceCPUOps.ReduceMin(Tensor, Int32)

ReferenceCPUOps.ArgMax(Tensor, Int32)

ReferenceCPUOps.ArgMin(Tensor, Int32)

ReferenceCPUOps.ReduceProd(Tensor, Int32)

ReferenceCPUOps.Copy(Tensor)

ReferenceCPUOps.Flatten(Tensor)

ReferenceCPUOps.Reshape(Tensor, TensorShape)

ReferenceCPUOps.Expand(Tensor, TensorShape)

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

ReferenceCPUOps.Transpose(Tensor)

Namespace: Unity.Barracuda

Syntax

public class BurstCPUOps : UnsafeArrayCPUOps, IOps, IOpsStatistics

Constructors

BurstCPUOps(ITensorAllocator)

Create BurstCPUOps

Declaration

public BurstCPUOps(ITensorAllocator allocator = null)

Parameters

Type	Name	Description
ITensorAllocator	allocator	allocator

Properties

PreferBLAS

EXPERIMENTAL: Select BLAS preference Production code should stick to default (Native) for now.

Declaration

public static BurstCPUOps.BLAS PreferBLAS { get; set; }

Property Value

Type	Description
BurstCPUOps.BLAS

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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.Add(Tensor[])

Asin(Tensor)

Asin

Declaration

public override Tensor Asin(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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)

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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.Elu(Tensor, Single)

Erf(Tensor)

Erf

Declaration

public override Tensor Erf(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.Exp(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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.GlobalMaxPool2D(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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.LeakyRelu(Tensor, Single)

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)

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)

LSTM(Tensor, Tensor[], Tensor[], Tensor[], Tensor[], Tensor, Tensor)

Declaration

public override Tensor[] LSTM(Tensor X, Tensor[] W, Tensor[] R, Tensor[] Wb, Tensor[] Rb, Tensor hidden, Tensor cell)

Parameters

Type	Name	Description
Tensor	X
Tensor[]	W
Tensor[]	R
Tensor[]	Wb
Tensor[]	Rb
Tensor	hidden
Tensor	cell

Returns

Type	Description
Tensor[]

Overrides

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

UnsafeArrayCPUOps.MatMul(Tensor, Boolean, Tensor, Boolean)

MatMul(Tensor, Boolean, Tensor, Boolean, Nullable<Int32>, Nullable<Int32>, Nullable<Int32>)

Declaration

public Tensor MatMul(Tensor X, bool xTranspose, Tensor Y, bool yTranspose, int? blockSizeM, int? blockSizeN, int? blockSizeK)

Parameters

Type	Name	Description
Tensor	X
Boolean	xTranspose
Tensor	Y
Boolean	yTranspose
Nullable<Int32>	blockSizeM
Nullable<Int32>	blockSizeN
Nullable<Int32>	blockSizeK

Returns

Type	Description
Tensor

MatMul(Tensor, Int32, Tensor, Int32)

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
Int32	rankX	rank of x
Tensor	Y
Int32	rankY	rank of y

Returns

Type	Description
Tensor	output Tensor

Overrides

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

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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.Neg(Tensor)

OneHot(Tensor, Int32, Single, Single)

One hot

Declaration

public override Tensor OneHot(Tensor X, int depth, float onValue, float offValue)

Parameters

Type	Name	Description
Tensor	X
Int32	depth	output depth
Single	onValue	on value
Single	offValue	off value

Returns

Type	Description
Tensor	output Tensor

Overrides

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

Pin(Tensor, Boolean)

Pin Tensor to Burst backend device, if uploadCache is false, data is not uploaded to device

Declaration

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

Parameters

Type	Name	Description
Tensor	X	Tensor
Boolean	uploadCache	bool

Returns

Type	Description
BurstTensorData	BurstTensorData

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

UnsafeArrayCPUOps.PRelu(Tensor, Tensor)

Prepare(Tensor)

Prepare Tensor for use with Burst backend

Declaration

public override Tensor Prepare(Tensor X)

Parameters

Type	Name	Description
Tensor	X	Tensor

Returns

Type	Description
Tensor	Tensor

Overrides

UnsafeArrayCPUOps.Prepare(Tensor)

PrepareNoAlloc(Tensor)

Declaration

public override Tensor PrepareNoAlloc(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Overrides

UnsafeArrayCPUOps.PrepareNoAlloc(Tensor)

RandomNormal(TensorShape, Single, Single, Int32)

Normal random distribution

Declaration

public override Tensor RandomNormal(TensorShape s, float mean, float scale, int seed)

Parameters

Type	Name	Description
TensorShape	s	shape
Single	mean	mean
Single	scale	scale
Int32	seed	seed

Returns

Type	Description
Tensor	output Tensor

Overrides

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

RandomUniform(TensorShape, Single, Single, Int32)

Uniform random distribution

Declaration

public override Tensor RandomUniform(TensorShape s, float mean, float scale, int seed)

Parameters

Type	Name	Description
TensorShape	s	shape
Single	mean	mean
Single	scale	scale
Int32	seed	seed

Returns

Type	Description
Tensor	output Tensor

Overrides

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

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)

Declaration

public override Tensor ReduceMax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis

Returns

Type	Description
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)

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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.Relu6(Tensor)

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

UnsafeArrayCPUOps.ScaleBias(Tensor, Tensor, Tensor)

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)

Sigmoid(Tensor)

Sigmoid

Declaration

public override Tensor Sigmoid(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

UnsafeArrayCPUOps.Sigmoid(Tensor)

Sin(Tensor)

Sin

Declaration

public override Tensor Sin(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.Sqrt(Tensor)

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

Strided slice

Declaration

public override Tensor StridedSlice(Tensor X, int[] starts4Dor8D, int[] ends4Dor8D, int[] strides4Dor8D)

Parameters

Type	Name	Description
Tensor	X
Int32[]	starts4Dor8D
Int32[]	ends4Dor8D
Int32[]	strides4Dor8D	stride

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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.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

UnsafeArrayCPUOps.Tanh(Tensor)

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[])