Class ReferenceComputeOps

Reference GPU compute IOps implementation

Inheritance
Object
ReferenceCPUOps
ReferenceComputeOps
ComputeOps
Inherited Members
Namespace: Unity.Barracuda
Syntax
public class ReferenceComputeOps : ReferenceCPUOps, IOps

Constructors

ReferenceComputeOps(ITensorAllocator)

Create ReferenceComputeOps

Declaration
public ReferenceComputeOps(ITensorAllocator allocator = null)
Parameters
Type Name Description
ITensorAllocator allocator

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

Acos(Tensor)

Acos

Declaration
public override Tensor Acos(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Acosh(Tensor)

Acosh

Declaration
public override Tensor Acosh(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

ApplyPadding3D(Tensor, Int32[], String, Single)

Apply 3D padding

Declaration
protected virtual Tensor ApplyPadding3D(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

padding 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

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

Asin(Tensor)

Asin

Declaration
public override Tensor Asin(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Asinh(Tensor)

Asinh

Declaration
public override Tensor Asinh(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Atan(Tensor)

Atan

Declaration
public override Tensor Atan(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Atanh(Tensor)

Atanh

Declaration
public override Tensor Atanh(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

Border3D(Tensor, Int32[], Single)

3D border padding

Declaration
public override Tensor Border3D(Tensor X, int[] pad, float constant)
Parameters
Type Name Description
Tensor X
Int32[] pad

padding
Single constant
Returns
Type Description
Tensor

output Tensor
Overrides

Ceil(Tensor)

Ceil

Declaration
public override Tensor Ceil(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

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

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

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

3D convolution

Declaration
public override Tensor Conv3D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)
Parameters
Type Name Description
Tensor X
Tensor K
Tensor B
Int32[] stride

stride
Int32[] pad

padding
Layer.FusedActivation fusedActivation

fused activation type
Returns
Type Description
Tensor

output Tensor
Overrides

ConvertPermutationToDeviceLayout(Int32[])

Convert permutation list to device specific layout

Declaration
protected int[] ConvertPermutationToDeviceLayout(int[] permutationChannelLast)
Parameters
Type Name Description
Int32[] permutationChannelLast

permutations channels last
Returns
Type Description
Int32[]

new permutation list

Copy(Tensor)

Copy

Declaration
public override Tensor Copy(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

CopyAndReshape(Tensor, TensorShape)

Copy and reshape Tensor

Declaration
protected override Tensor CopyAndReshape(Tensor X, TensorShape newShape)
Parameters
Type Name Description
Tensor X

input
TensorShape newShape
Returns
Type Description
Tensor

output Tensor
Overrides

CopyAndReshape_NCHW(Tensor, TensorShape)

Copy and reshape tensor for NCHW layout

Declaration
protected virtual Tensor CopyAndReshape_NCHW(Tensor X, TensorShape newShape)
Parameters
Type Name Description
Tensor X

input
TensorShape newShape

new shape
Returns
Type Description
Tensor

output Tensor

Cos(Tensor)

Cos

Declaration
public override Tensor Cos(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Cosh(Tensor)

Cosh

Declaration
public override Tensor Cosh(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

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

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

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

Dropout(Tensor, Single)

Dropout

Declaration
public override Tensor Dropout(Tensor X, float alpha)
Parameters
Type Name Description
Tensor X
Single alpha

alpha
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

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

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

Expand(Tensor, TensorShape)

Expand

Declaration
public override Tensor Expand(Tensor X, TensorShape newShape)
Parameters
Type Name Description
Tensor X
TensorShape newShape
Returns
Type Description
Tensor

output Tensor
Overrides

Flatten(Tensor)

Flatten

Declaration
public override Tensor Flatten(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Floor(Tensor)

Floor

Declaration
public override Tensor Floor(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

GetOnDeviceShape(TensorShape)

Get Tensor shape on GPU device

Declaration
protected int[] GetOnDeviceShape(TensorShape shape)
Parameters
Type Name Description
TensorShape shape

shape
Returns
Type Description
Int32[]

ouput shape as int array

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

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

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

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

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

IsFusedActivationSupported(Layer.FusedActivation)

Check if fusedActivation type is supported

Declaration
protected bool IsFusedActivationSupported(Layer.FusedActivation fusedActivation)
Parameters
Type Name Description
Layer.FusedActivation fusedActivation

fused activation type
Returns
Type Description
Boolean

true if supported

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

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

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

Log(Tensor)

Log

Declaration
public override Tensor Log(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

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

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

LogSoftmax(Tensor)

LogSoftmax

Declaration
public override Tensor LogSoftmax(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

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

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

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

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

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

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

Neg(Tensor)

Neg

Declaration
public override Tensor Neg(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

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

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

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

Pin(Tensor, Boolean)

Declaration
public ComputeTensorData Pin(Tensor X, bool uploadCache = true)
Parameters
Type Name Description
Tensor X
Boolean uploadCache
Returns
Type Description
ComputeTensorData

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

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

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

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

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

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

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

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

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

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

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

Relu(Tensor)

ReLU

Declaration
public override Tensor Relu(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

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

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

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

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

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

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

Sin(Tensor)

Sin

Declaration
public override Tensor Sin(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Sinh(Tensor)

Sinh

Declaration
public override Tensor Sinh(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

Softplus(Tensor)

Softplus

Declaration
public override Tensor Softplus(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

Sqrt(Tensor)

Sqrt

Declaration
public override Tensor Sqrt(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

Swish(Tensor)

Swish

Declaration
public override Tensor Swish(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Tan(Tensor)

Tan

Declaration
public override Tensor Tan(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

Tanh(Tensor)

Tanh

Declaration
public override Tensor Tanh(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

Copy Tensor data to RenderTexture

Declaration
public void TensorToRenderTexture(Tensor X, RenderTexture target, int batch, int fromChannel, Vector4 scale, Vector4 bias, Texture3D lut)
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

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

Transpose(Tensor)

Transpose matrix

Declaration
public override Tensor Transpose(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor

output Tensor
Overrides

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

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

Upsample3D(Tensor, Int32[], Boolean)

Upsample 3D

Declaration
public override Tensor Upsample3D(Tensor X, int[] scale, bool trilinear)
Parameters
Type Name Description
Tensor X
Int32[] scale

scale
Boolean trilinear

trilinear flag
Returns
Type Description
Tensor

output Tensor
Overrides

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