Class ReferenceCPUOps

Inheritance

Object

ReferenceCPUOps

ReferenceComputeOps

UnsafeArrayCPUOps

Inherited Members

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 ReferenceCPUOps : IOps

Constructors

ReferenceCPUOps(ITensorAllocator)

Declaration

public ReferenceCPUOps(ITensorAllocator allocator = null)

Parameters

Type	Name	Description
ITensorAllocator	allocator

Methods

Abs(Tensor)

Declaration

public virtual Tensor Abs(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Abs(Tensor)

Add(Tensor[])

Declaration

public virtual Tensor Add(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

Implements

IOps.Add(Tensor[])

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

Declaration

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

Parameters

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

Returns

Type	Description
Tensor

Implements

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

Bernoulli(Single)

Declaration

protected float Bernoulli(float p)

Parameters

Type	Name	Description
Single	p

Returns

Type	Description
Single

Border2D(Tensor, Int32[], Single)

Declaration

public virtual Tensor Border2D(Tensor X, int[] pad, float value)

Parameters

Type	Name	Description
Tensor	X
Int32[]	pad
Single	value

Returns

Type	Description
Tensor

Implements

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

Ceil(Tensor)

Declaration

public virtual Tensor Ceil(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Ceil(Tensor)

Clip(Tensor, Single, Single)

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Single	min
Single	max

Returns

Type	Description
Tensor

Implements

IOps.Clip(Tensor, Single, Single)

Concat(Tensor[], Int32)

Declaration

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

Parameters

Type	Name	Description
Tensor[]	tensors
Int32	axis

Returns

Type	Description
Tensor

Implements

IOps.Concat(Tensor[], Int32)

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

Declaration

public virtual 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
Int32[]	pad
Layer.FusedActivation	fusedActivation

Returns

Type	Description
Tensor

Implements

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

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

Declaration

public virtual 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
Int32[]	pad
Int32[]	outputAdjustment
Layer.FusedActivation	fusedActivation

Returns

Type	Description
Tensor

Implements

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

Copy(Tensor)

Declaration

public virtual Tensor Copy(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Copy(Tensor)

CopyAndReshape(Tensor, TensorShape)

Declaration

protected virtual Tensor CopyAndReshape(Tensor X, TensorShape shape)

Parameters

Type	Name	Description
Tensor	X
TensorShape	shape

Returns

Type	Description
Tensor

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

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Tensor	W
Tensor	B
Layer.FusedActivation	fusedActivation

Returns

Type	Description
Tensor

Implements

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

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

Declaration

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

Parameters

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

Returns

Type	Description
Tensor

Implements

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

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

Declaration

public virtual 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
Int32[]	pad
Layer.FusedActivation	fusedActivation

Returns

Type	Description
Tensor

Implements

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

Div(Tensor[])

Declaration

public virtual Tensor Div(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

Implements

IOps.Div(Tensor[])

Dropout(Tensor, Single)

Declaration

public virtual Tensor Dropout(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha

Returns

Type	Description
Tensor

Implements

IOps.Dropout(Tensor, Single)

Elu(Tensor, Single)

Declaration

public virtual Tensor Elu(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha

Returns

Type	Description
Tensor

Implements

IOps.Elu(Tensor, Single)

Equal(Tensor, Tensor)

Declaration

public virtual Tensor Equal(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.Equal(Tensor, Tensor)

Exp(Tensor)

Declaration

public virtual Tensor Exp(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Exp(Tensor)

Expand(Tensor, TensorShape)

Declaration

public virtual Tensor Expand(Tensor X, TensorShape newShape)

Parameters

Type	Name	Description
Tensor	X
TensorShape	newShape

Returns

Type	Description
Tensor

Implements

IOps.Expand(Tensor, TensorShape)

Flatten(Tensor)

Declaration

public virtual Tensor Flatten(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Flatten(Tensor)

Floor(Tensor)

Declaration

public virtual Tensor Floor(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Floor(Tensor)

Gather(Tensor[], Int32)

Declaration

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

Parameters

Type	Name	Description
Tensor[]	tensors
Int32	axis

Returns

Type	Description
Tensor

Implements

IOps.Gather(Tensor[], Int32)

Gaussian(Single, Single)

Declaration

protected float Gaussian(float mean, float stdDev)

Parameters

Type	Name	Description
Single	mean
Single	stdDev

Returns

Type	Description
Single

GlobalAvgPool2D(Tensor)

Declaration

public virtual Tensor GlobalAvgPool2D(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.GlobalAvgPool2D(Tensor)

GlobalAvgVariancePool2D(Tensor)

Declaration

public virtual Tensor GlobalAvgVariancePool2D(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.GlobalAvgVariancePool2D(Tensor)

GlobalMaxPool2D(Tensor)

Declaration

public virtual Tensor GlobalMaxPool2D(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.GlobalMaxPool2D(Tensor)

Greater(Tensor, Tensor)

Declaration

public virtual Tensor Greater(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.Greater(Tensor, Tensor)

GreaterEqual(Tensor, Tensor)

Declaration

public virtual Tensor GreaterEqual(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.GreaterEqual(Tensor, Tensor)

LeakyRelu(Tensor, Single)

Declaration

public virtual Tensor LeakyRelu(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha

Returns

Type	Description
Tensor

Implements

IOps.LeakyRelu(Tensor, Single)

Less(Tensor, Tensor)

Declaration

public virtual Tensor Less(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.Less(Tensor, Tensor)

LessEqual(Tensor, Tensor)

Declaration

public virtual Tensor LessEqual(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.LessEqual(Tensor, Tensor)

Log(Tensor)

Declaration

public virtual Tensor Log(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Log(Tensor)

LogicalAnd(Tensor, Tensor)

Declaration

public virtual Tensor LogicalAnd(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.LogicalAnd(Tensor, Tensor)

LogicalNot(Tensor)

Declaration

public virtual Tensor LogicalNot(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.LogicalNot(Tensor)

LogicalOr(Tensor, Tensor)

Declaration

public virtual Tensor LogicalOr(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.LogicalOr(Tensor, Tensor)

LogicalXor(Tensor, Tensor)

Declaration

public virtual Tensor LogicalXor(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.LogicalXor(Tensor, Tensor)

LogSoftmax(Tensor)

Declaration

public virtual Tensor LogSoftmax(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.LogSoftmax(Tensor)

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

Declaration

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

Parameters

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

Returns

Type	Description
Tensor

Implements

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

MatMul(Tensor, Boolean, Tensor, Boolean)

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Boolean	xTranspose
Tensor	Y
Boolean	yTranspose

Returns

Type	Description
Tensor

Implements

IOps.MatMul(Tensor, Boolean, Tensor, Boolean)

Max(Tensor[])

Declaration

public virtual Tensor Max(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

Implements

IOps.Max(Tensor[])

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

Declaration

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

Parameters

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

Returns

Type	Description
Tensor

Implements

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

Mean(Tensor[])

Declaration

public virtual Tensor Mean(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

Implements

IOps.Mean(Tensor[])

Min(Tensor[])

Declaration

public virtual Tensor Min(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

Implements

IOps.Min(Tensor[])

Mul(Tensor[])

Declaration

public virtual Tensor Mul(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

Implements

IOps.Mul(Tensor[])

Multinomial(Tensor, Int32, Int32)

Declaration

public virtual Tensor Multinomial(Tensor X, int count, int seed)

Parameters

Type	Name	Description
Tensor	X
Int32	count
Int32	seed

Returns

Type	Description
Tensor

Implements

IOps.Multinomial(Tensor, Int32, Int32)

Neg(Tensor)

Declaration

public virtual Tensor Neg(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Neg(Tensor)

NewTensor(Int32, Int32, Int32, Int32, String)

Declaration

protected Tensor NewTensor(int b, int h, int w, int ch, string name = "")

Parameters

Type	Name	Description
Int32	b
Int32	h
Int32	w
Int32	ch
String	name

Returns

Type	Description
Tensor

NewTensor(Int32, Int32, String)

Declaration

protected Tensor NewTensor(int b, int ch, string name = "")

Parameters

Type	Name	Description
Int32	b
Int32	ch
String	name

Returns

Type	Description
Tensor

NewTensor(TensorShape, String)

Declaration

protected Tensor NewTensor(TensorShape s, string name = "")

Parameters

Type	Name	Description
TensorShape	s
String	name

Returns

Type	Description
Tensor

NewTensorLike(Tensor)

Declaration

protected Tensor NewTensorLike(Tensor t)

Parameters

Type	Name	Description
Tensor	t

Returns

Type	Description
Tensor

NewTensorLike(Tensor[])

Declaration

protected Tensor NewTensorLike(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

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

Declaration

public virtual 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
Int32	axis
Single	epsilon
Layer.FusedActivation	fusedActivation

Returns

Type	Description
Tensor

Implements

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

OneHot(Tensor, Int32, Single, Single)

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32	depth
Single	onValue
Single	offValue

Returns

Type	Description
Tensor

Implements

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

Pad2DEdge(Tensor, Int32[])

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	pad

Returns

Type	Description
Tensor

Implements

IOps.Pad2DEdge(Tensor, Int32[])

Pad2DReflect(Tensor, Int32[])

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	pad

Returns

Type	Description
Tensor

Implements

IOps.Pad2DReflect(Tensor, Int32[])

Pad2DSymmetric(Tensor, Int32[])

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	pad

Returns

Type	Description
Tensor

Implements

IOps.Pad2DSymmetric(Tensor, Int32[])

Pow(Tensor, Single)

Declaration

public virtual Tensor Pow(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha

Returns

Type	Description
Tensor

Implements

IOps.Pow(Tensor, Single)

Pow(Tensor[])

Declaration

public virtual Tensor Pow(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

Implements

IOps.Pow(Tensor[])

PRelu(Tensor, Tensor)

Declaration

public virtual Tensor PRelu(Tensor X, Tensor S)

Parameters

Type	Name	Description
Tensor	X
Tensor	S

Returns

Type	Description
Tensor

Implements

IOps.PRelu(Tensor, Tensor)

Prepare(Tensor)

Declaration

public virtual Tensor Prepare(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Prepare(Tensor)

RandomNormal(TensorShape, Single, Single, Int32)

Declaration

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

Parameters

Type	Name	Description
TensorShape	s
Single	mean
Single	scale
Int32	seed

Returns

Type	Description
Tensor

Implements

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

RandomUniform(TensorShape, Single, Single, Int32)

Declaration

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

Parameters

Type	Name	Description
TensorShape	s
Single	mean
Single	scale
Int32	seed

Returns

Type	Description
Tensor

Implements

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

Reciprocal(Tensor)

Declaration

public virtual Tensor Reciprocal(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Reciprocal(Tensor)

ReduceMax(Tensor, Int32)

Declaration

public virtual Tensor ReduceMax(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis

Returns

Type	Description
Tensor

Implements

IOps.ReduceMax(Tensor, Int32)

ReduceMean(Tensor, Int32)

Declaration

public virtual Tensor ReduceMean(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis

Returns

Type	Description
Tensor

Implements

IOps.ReduceMean(Tensor, Int32)

ReduceMin(Tensor, Int32)

Declaration

public virtual Tensor ReduceMin(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis

Returns

Type	Description
Tensor

Implements

IOps.ReduceMin(Tensor, Int32)

ReduceProd(Tensor, Int32)

Declaration

public virtual Tensor ReduceProd(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis

Returns

Type	Description
Tensor

Implements

IOps.ReduceProd(Tensor, Int32)

ReduceSum(Tensor, Int32)

Declaration

public virtual Tensor ReduceSum(Tensor X, int axis)

Parameters

Type	Name	Description
Tensor	X
Int32	axis

Returns

Type	Description
Tensor

Implements

IOps.ReduceSum(Tensor, Int32)

Relu(Tensor)

Declaration

public virtual Tensor Relu(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Relu(Tensor)

Relu6(Tensor)

Declaration

public virtual Tensor Relu6(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Relu6(Tensor)

Resample2D(Tensor, Int32[], Boolean)

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	size
Boolean	bilinear

Returns

Type	Description
Tensor

Implements

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

ResetAllocator(Boolean)

Declaration

public virtual void ResetAllocator(bool keepCachedMemory = true)

Parameters

Type	Name	Description
Boolean	keepCachedMemory

Implements

IOps.ResetAllocator(Boolean)

Reshape(Tensor, TensorShape)

Declaration

public virtual Tensor Reshape(Tensor X, TensorShape newShape)

Parameters

Type	Name	Description
Tensor	X
TensorShape	newShape

Returns

Type	Description
Tensor

Implements

IOps.Reshape(Tensor, TensorShape)

ScaleBias(Tensor, Tensor, Tensor)

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Tensor	S
Tensor	B

Returns

Type	Description
Tensor

Implements

IOps.ScaleBias(Tensor, Tensor, Tensor)

Selu(Tensor, Single, Single)

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Single	alpha
Single	gamma

Returns

Type	Description
Tensor

Implements

IOps.Selu(Tensor, Single, Single)

Sigmoid(Tensor)

Declaration

public virtual Tensor Sigmoid(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Sigmoid(Tensor)

Softmax(Tensor)

Declaration

public virtual Tensor Softmax(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Softmax(Tensor)

SpaceToDepth(Tensor, Int32[])

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	blocksize

Returns

Type	Description
Tensor

Implements

IOps.SpaceToDepth(Tensor, Int32[])

Sqrt(Tensor)

Declaration

public virtual Tensor Sqrt(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Sqrt(Tensor)

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

Declaration

public virtual Tensor StridedSlice(Tensor X, int[] starts, int[] ends, int[] stride)

Parameters

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

Returns

Type	Description
Tensor

Implements

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

Sub(Tensor[])

Declaration

public virtual Tensor Sub(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors

Returns

Type	Description
Tensor

Implements

IOps.Sub(Tensor[])

Swish(Tensor)

Declaration

public virtual Tensor Swish(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Swish(Tensor)

Tanh(Tensor)

Declaration

public virtual Tensor Tanh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Tanh(Tensor)

Tile(Tensor, Int32[])

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	repeats

Returns

Type	Description
Tensor

Implements

IOps.Tile(Tensor, Int32[])

Transpose(Tensor)

Declaration

public virtual Tensor Transpose(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor

Implements

IOps.Transpose(Tensor)

Upsample2D(Tensor, Int32[], Boolean)

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Int32[]	scale
Boolean	bilinear

Returns

Type	Description
Tensor

Implements

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