Class ReferenceCPUOps

Inheritance
Object
ReferenceCPUOps
ReferenceComputeOps
UnsafeArrayCPUOps
Namespace: 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

Add(Tensor[])

Declaration
public virtual Tensor Add(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

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

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

Ceil(Tensor)

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

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

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

Conv2D(Tensor, Tensor, Tensor, Int32[], Int32[])

Declaration
public virtual Tensor Conv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad)
Parameters
Type Name Description
Tensor X
Tensor K
Tensor B
Int32[] stride
Int32[] pad
Returns
Type Description
Tensor
Implements

Conv2DTrans(Tensor, Tensor, Tensor, Int32[], Int32[], Int32[])

Declaration
public virtual Tensor Conv2DTrans(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, int[] outputAdjustment)
Parameters
Type Name Description
Tensor X
Tensor K
Tensor B
Int32[] stride
Int32[] pad
Int32[] outputAdjustment
Returns
Type Description
Tensor
Implements

Copy(Tensor)

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

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)

Declaration
public virtual Tensor Dense(Tensor X, Tensor W, Tensor B)
Parameters
Type Name Description
Tensor X
Tensor W
Tensor B
Returns
Type Description
Tensor
Implements

DepthwiseConv2D(Tensor, Tensor, Tensor, Int32[], Int32[])

Declaration
public virtual Tensor DepthwiseConv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad)
Parameters
Type Name Description
Tensor X
Tensor K
Tensor B
Int32[] stride
Int32[] pad
Returns
Type Description
Tensor
Implements

Div(Tensor[])

Declaration
public virtual Tensor Div(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

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

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

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

Exp(Tensor)

Declaration
public virtual Tensor Exp(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

Flatten(Tensor)

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

Floor(Tensor)

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

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

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

GlobalAvgVariancePool2D(Tensor)

Declaration
public virtual Tensor GlobalAvgVariancePool2D(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

GlobalMaxPool2D(Tensor)

Declaration
public virtual Tensor GlobalMaxPool2D(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

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

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

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

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

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

Log(Tensor)

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

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

LogicalNot(Tensor)

Declaration
public virtual Tensor LogicalNot(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

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

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

LogSoftmax(Tensor)

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

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

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

Max(Tensor[])

Declaration
public virtual Tensor Max(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

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

Mean(Tensor[])

Declaration
public virtual Tensor Mean(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

Min(Tensor[])

Declaration
public virtual Tensor Min(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

Mul(Tensor[])

Declaration
public virtual Tensor Mul(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

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

Neg(Tensor)

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

NewTensor(TensorShape, String)

Declaration
protected Tensor NewTensor(TensorShape s, string name = "")
Parameters
Type Name Description
TensorShape s
String name
Returns
Type Description
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

NewTensorLike(Tensor)

Declaration
protected Tensor NewTensorLike(Tensor t)
Parameters
Type Name Description
Tensor t
Returns
Type Description
Tensor

Normalization(Tensor, Tensor, Tensor, Int32, Int32, Single)

Declaration
public virtual Tensor Normalization(Tensor X, Tensor S, Tensor B, int pool, int axis, float epsilon)
Parameters
Type Name Description
Tensor X
Tensor S
Tensor B
Int32 pool
Int32 axis
Single epsilon
Returns
Type Description
Tensor
Implements

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

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

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

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

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

Pow(Tensor[])

Declaration
public virtual Tensor Pow(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

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

Prepare(Tensor)

Declaration
public virtual Tensor Prepare(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

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

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

Reciprocal(Tensor)

Declaration
public virtual Tensor Reciprocal(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

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

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

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

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

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

Relu(Tensor)

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

Relu6(Tensor)

Declaration
public virtual Tensor Relu6(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

ResetAllocator(Boolean)

Declaration
public virtual void ResetAllocator(bool keepCachedMemory = true)
Parameters
Type Name Description
Boolean keepCachedMemory
Implements

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

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

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

Sigmoid(Tensor)

Declaration
public virtual Tensor Sigmoid(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

Softmax(Tensor)

Declaration
public virtual Tensor Softmax(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

Sqrt(Tensor)

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

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

Sub(Tensor[])

Declaration
public virtual Tensor Sub(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

Swish(Tensor)

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

Tanh(Tensor)

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

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

Transpose(Tensor)

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

Upsample2D(Tensor, Int32[])

Declaration
public virtual Tensor Upsample2D(Tensor X, int[] size)
Parameters
Type Name Description
Tensor X
Int32[] size
Returns
Type Description
Tensor
Implements

WaitForCompletion(Tensor)

Declaration
public virtual void WaitForCompletion(Tensor x)
Parameters
Type Name Description
Tensor x
Implements