Class UnsafeArrayCPUOps

Unsafe array based IOps implementation

Inheritance

Object

ReferenceCPUOps

UnsafeArrayCPUOps

BurstCPUOps

Inherited Members

ReferenceCPUOps.NewTensor(TensorShape, String)

ReferenceCPUOps.NewTensorLike(Tensor)

ReferenceCPUOps.NewTensorLike(Tensor[])

ReferenceCPUOps.NewTensor(Int32, Int32, String)

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

ReferenceCPUOps.ResetAllocator(Boolean)

ReferenceCPUOps.Dense3(Tensor, Tensor, Tensor)

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

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

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

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

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

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

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

ReferenceCPUOps.SpaceToDepth(Tensor, Int32[])

ReferenceCPUOps.GlobalAvgVariancePool2D(Tensor)

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

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

ReferenceCPUOps.Multinomial(Tensor, Int32, Int32)

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

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

ReferenceCPUOps.NonZero(Tensor)

ReferenceCPUOps.TopKValues(Tensor, Tensor, Int32)

ReferenceCPUOps.Softmax(Tensor, Int32)

ReferenceCPUOps.LogSoftmax(Tensor)

ReferenceCPUOps.Selu(Tensor, Single, Single)

ReferenceCPUOps.Abs(Tensor)

ReferenceCPUOps.Ceil(Tensor)

ReferenceCPUOps.Clip(Tensor, Single, Single)

ReferenceCPUOps.Floor(Tensor)

ReferenceCPUOps.Round(Tensor)

ReferenceCPUOps.Reciprocal(Tensor)

ReferenceCPUOps.Pow(Tensor, Single)

ReferenceCPUOps.Log(Tensor)

ReferenceCPUOps.Concat(Tensor[], Int32)

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

ReferenceCPUOps.Tile(Tensor, Int32[])

ReferenceCPUOps.ConstantOfShape(TensorShape, Single)

ReferenceCPUOps.Shape(Tensor, Int32)

ReferenceCPUOps.Pow(Tensor[])

ReferenceCPUOps.Mean(Tensor[])

ReferenceCPUOps.ReduceMin(Tensor, Int32)

ReferenceCPUOps.ReduceMax(Tensor, Int32)

ReferenceCPUOps.ArgMax(Tensor, Int32)

ReferenceCPUOps.ArgMin(Tensor, Int32)

ReferenceCPUOps.ReduceSum(Tensor, Int32)

ReferenceCPUOps.ReduceMean(Tensor, Int32)

ReferenceCPUOps.ReduceProd(Tensor, Int32)

ReferenceCPUOps.Copy(Tensor)

ReferenceCPUOps.Flatten(Tensor)

ReferenceCPUOps.Reshape(Tensor, TensorShape)

ReferenceCPUOps.Expand(Tensor, TensorShape)

ReferenceCPUOps.Gather(Tensor[], Int32)

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

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

ReferenceCPUOps.Transpose(Tensor)

ReferenceCPUOps.Transpose(Tensor, Int32[])

Namespace: Unity.Barracuda

Syntax

public class UnsafeArrayCPUOps : ReferenceCPUOps, IOps

Constructors

UnsafeArrayCPUOps(ITensorAllocator)

Create UnsafeArrayCPUOps

Declaration

public UnsafeArrayCPUOps(ITensorAllocator allocator = null)

Parameters

Type	Name	Description
ITensorAllocator	allocator	allocator

Methods

Acos(Tensor)

Acos

Declaration

public override Tensor Acos(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Acos(Tensor)

Acosh(Tensor)

Acosh

Declaration

public override Tensor Acosh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Acosh(Tensor)

Add(Tensor[])

Add tensors together

Declaration

public override Tensor Add(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Add(Tensor[])

ApplyFusedActivation(Tensor, Layer.FusedActivation)

Apply fused activation

Declaration

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

Parameters

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

Returns

Type	Description
Tensor	output Tensor

Asin(Tensor)

Asin

Declaration

public override Tensor Asin(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Asin(Tensor)

Asinh(Tensor)

Asinh

Declaration

public override Tensor Asinh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Asinh(Tensor)

Atan(Tensor)

Atan

Declaration

public override Tensor Atan(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Atan(Tensor)

Atanh(Tensor)

Atanh

Declaration

public override Tensor Atanh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Atanh(Tensor)

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

2D average pooling

Declaration

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

Parameters

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

Returns

Type	Description
Tensor	output Tensor

Overrides

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

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)

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

2D convolution

Declaration

public override Tensor Conv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Tensor	X
Tensor	K
Tensor	B
Int32[]	stride	stride
Int32[]	pad	padding
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

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

CopyAndReshape(Tensor, TensorShape)

Copy and reshape Tensor

Declaration

protected override Tensor CopyAndReshape(Tensor X, TensorShape shape)

Parameters

Type	Name	Description
Tensor	X	input
TensorShape	shape	shape

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.CopyAndReshape(Tensor, TensorShape)

Cos(Tensor)

Cos

Declaration

public override Tensor Cos(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Cos(Tensor)

Cosh(Tensor)

Cosh

Declaration

public override Tensor Cosh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Cosh(Tensor)

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

Dense layer (matrix multiplication) o = x ⨯ w + b

Declaration

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

Parameters

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

Returns

Type	Description
Tensor	output Tensor

Overrides

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

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

Depthwise 2D convolution

Declaration

public override Tensor DepthwiseConv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)

Parameters

Type	Name	Description
Tensor	X
Tensor	K
Tensor	B
Int32[]	stride	stride
Int32[]	pad	padding
Layer.FusedActivation	fusedActivation	fused activation type

Returns

Type	Description
Tensor	output Tensor

Overrides

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

Div(Tensor[])

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

Declaration

public override Tensor Div(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Div(Tensor[])

Elu(Tensor, Single)

ELU

Declaration

public override Tensor Elu(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha	alpha

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Elu(Tensor, Single)

Equal(Tensor, Tensor)

Equal

Declaration

public override Tensor Equal(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a == b

Overrides

ReferenceCPUOps.Equal(Tensor, Tensor)

Exp(Tensor)

Exponent e^x

Declaration

public override Tensor Exp(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Exp(Tensor)

GlobalAvgPool2D(Tensor)

2D global average pooling

Declaration

public override Tensor GlobalAvgPool2D(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.GlobalAvgPool2D(Tensor)

GlobalMaxPool2D(Tensor)

2D global max pooling

Declaration

public override Tensor GlobalMaxPool2D(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.GlobalMaxPool2D(Tensor)

Greater(Tensor, Tensor)

Greater

Declaration

public override Tensor Greater(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a > b

Overrides

ReferenceCPUOps.Greater(Tensor, Tensor)

GreaterEqual(Tensor, Tensor)

Greater or equal

Declaration

public override Tensor GreaterEqual(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a >= b

Overrides

ReferenceCPUOps.GreaterEqual(Tensor, Tensor)

LeakyRelu(Tensor, Single)

Leaky ReLU

Declaration

public override Tensor LeakyRelu(Tensor X, float alpha)

Parameters

Type	Name	Description
Tensor	X
Single	alpha	alpha

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.LeakyRelu(Tensor, Single)

Less(Tensor, Tensor)

Less

Declaration

public override Tensor Less(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a < b

Overrides

ReferenceCPUOps.Less(Tensor, Tensor)

LessEqual(Tensor, Tensor)

Less or equal

Declaration

public override Tensor LessEqual(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a < b

Overrides

ReferenceCPUOps.LessEqual(Tensor, Tensor)

LogicalAnd(Tensor, Tensor)

And

Declaration

public override Tensor LogicalAnd(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a && b

Overrides

ReferenceCPUOps.LogicalAnd(Tensor, Tensor)

LogicalNot(Tensor)

Not

Declaration

public override Tensor LogicalNot(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	Tensor with !x values

Overrides

ReferenceCPUOps.LogicalNot(Tensor)

LogicalOr(Tensor, Tensor)

Or

Declaration

public override Tensor LogicalOr(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a || b

Overrides

ReferenceCPUOps.LogicalOr(Tensor, Tensor)

LogicalXor(Tensor, Tensor)

Xor

Declaration

public override Tensor LogicalXor(Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with true where a xor b

Overrides

ReferenceCPUOps.LogicalXor(Tensor, Tensor)

MatMul(Tensor, Boolean, Tensor, Boolean)

Simple 2D matrix multiplication O = X ⨯ Y

Declaration

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

Parameters

Type	Name	Description
Tensor	X	left Tensor
Boolean	xTranspose	X transposed data flag
Tensor	Y	right Tensor
Boolean	yTranspose	Y transposed data flag

Returns

Type	Description
Tensor	output Tensor

Overrides

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

Max(Tensor[])

Max

Declaration

public override Tensor Max(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Max(Tensor[])

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

2D max pooling

Declaration

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

Parameters

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

Returns

Type	Description
Tensor	output Tensor

Overrides

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

Min(Tensor[])

Min

Declaration

public override Tensor Min(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Min(Tensor[])

Mul(Tensor[])

Multiply tensors together

Declaration

public override Tensor Mul(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Mul(Tensor[])

Neg(Tensor)

Neg

Declaration

public override Tensor Neg(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Neg(Tensor)

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)

Pin specified Tensor to unsafe array based CPU device

Declaration

public static UnsafeArrayTensorData Pin(Tensor X)

Parameters

Type	Name	Description
Tensor	X	Tensor

Returns

Type	Description
UnsafeArrayTensorData	UnsafeArrayTensorData

PRelu(Tensor, Tensor)

PReLU

Declaration

public override Tensor PRelu(Tensor X, Tensor S)

Parameters

Type	Name	Description
Tensor	X
Tensor	S

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.PRelu(Tensor, Tensor)

Prepare(Tensor)

Prepares tensor for use

Declaration

public override Tensor Prepare(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	Tensor

Overrides

ReferenceCPUOps.Prepare(Tensor)

Relu(Tensor)

ReLU

Declaration

public override Tensor Relu(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Relu(Tensor)

Relu6(Tensor)

ReLU capped to 6

Declaration

public override Tensor Relu6(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Relu6(Tensor)

ScaleBias(Tensor, Tensor, Tensor)

Scale bias o = s * x + b, element wise

Declaration

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

Parameters

Type	Name	Description
Tensor	X
Tensor	S
Tensor	B

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.ScaleBias(Tensor, Tensor, Tensor)

Sigmoid(Tensor)

Sigmoid

Declaration

public override Tensor Sigmoid(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sigmoid(Tensor)

Sign(Tensor)

Sign

Declaration

public override Tensor Sign(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	Tensor with 1 if x > 0 -1 if < 0 and 0 if == 0 values

Overrides

ReferenceCPUOps.Sign(Tensor)

Sin(Tensor)

Sin

Declaration

public override Tensor Sin(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sin(Tensor)

Sinh(Tensor)

Sinh

Declaration

public override Tensor Sinh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sinh(Tensor)

Softplus(Tensor)

Softplus

Declaration

public override Tensor Softplus(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Softplus(Tensor)

Sqrt(Tensor)

Sqrt

Declaration

public override Tensor Sqrt(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sqrt(Tensor)

Sub(Tensor[])

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

Declaration

public override Tensor Sub(Tensor[] tensors)

Parameters

Type	Name	Description
Tensor[]	tensors	input tensors

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Sub(Tensor[])

Swish(Tensor)

Swish

Declaration

public override Tensor Swish(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Swish(Tensor)

Tan(Tensor)

Tan

Declaration

public override Tensor Tan(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Tan(Tensor)

Tanh(Tensor)

Tanh

Declaration

public override Tensor Tanh(Tensor X)

Parameters

Type	Name	Description
Tensor	X

Returns

Type	Description
Tensor	output Tensor

Overrides

ReferenceCPUOps.Tanh(Tensor)

Where(Tensor, Tensor, Tensor)

Where

Declaration

public override Tensor Where(Tensor C, Tensor A, Tensor B)

Parameters

Type	Name	Description
Tensor	C
Tensor	A
Tensor	B

Returns

Type	Description
Tensor	Tensor with values c ? a : b

Overrides

ReferenceCPUOps.Where(Tensor, Tensor, Tensor)