Class ReferenceCPUOps
Reference CPU implementation of IOps
Implements
Inherited Members
Namespace: Unity.Barracuda
Assembly: Unity.Barracuda.dll
Syntax
public class ReferenceCPUOps : IOps
Constructors
ReferenceCPUOps(ITensorAllocator)
Create ReferenceCPUOps
Declaration
public ReferenceCPUOps(ITensorAllocator allocator = null)
Parameters
Type | Name | Description |
---|---|---|
ITensorAllocator | allocator | allocator |
Methods
Abs(Tensor)
Abs
Declaration
public virtual Tensor Abs(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Acos(Tensor)
Acos
Declaration
public virtual Tensor Acos(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Acosh(Tensor)
Acosh
Declaration
public virtual Tensor Acosh(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Add(Tensor[])
Add tensors
together
Declaration
public virtual Tensor Add(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ArgMax(Tensor, int)
ArgMax
Declaration
public virtual Tensor ArgMax(Tensor X, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ArgMin(Tensor, int)
ArgMax
Declaration
public virtual Tensor ArgMin(Tensor X, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Asin(Tensor)
Asin
Declaration
public virtual Tensor Asin(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Asinh(Tensor)
Asinh
Declaration
public virtual Tensor Asinh(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Atan(Tensor)
Atan
Declaration
public virtual Tensor Atan(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Atanh(Tensor)
Atanh
Declaration
public virtual Tensor Atanh(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
AvgPool2D(Tensor, int[], int[], int[])
2D average pooling
Declaration
public virtual Tensor AvgPool2D(Tensor X, int[] pool, int[] stride, int[] pad)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | pool | pooling |
int[] | stride | stride |
int[] | pad | padding |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Bernoulli(float)
Bernoulli distribution
Declaration
protected float Bernoulli(float p)
Parameters
Type | Name | Description |
---|---|---|
float | p | p |
Returns
Type | Description |
---|---|
float | random value |
Border2D(Tensor, int[], float)
2D border padding
Declaration
public virtual Tensor Border2D(Tensor X, int[] pad, float value)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | pad | padding |
float | value |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Border3D(Tensor, int[], float)
3D border padding
Declaration
public virtual Tensor Border3D(Tensor X, int[] pad, float value)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | pad | padding |
float | value |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Ceil(Tensor)
Ceil
Declaration
public virtual Tensor Ceil(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Clip(Tensor, float, float)
Clip
Declaration
public virtual Tensor Clip(Tensor X, float min, float max)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
float | min | min value |
float | max | max value |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Concat(Tensor[], int)
Concatenate tensors
across axis
Declaration
public virtual Tensor Concat(Tensor[] tensors, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ConstantOfShape(TensorShape, float)
Creates a constant of shape input
Declaration
public Tensor ConstantOfShape(TensorShape X, float value)
Parameters
Type | Name | Description |
---|---|---|
TensorShape | X | input shape |
float | value | value |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Conv2D(Tensor, Tensor, Tensor, int[], int[], FusedActivation)
2D convolution
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 | |
int[] | stride | stride |
int[] | pad | padding |
Layer.FusedActivation | fusedActivation | fused activation type |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Conv2DTrans(Tensor, Tensor, Tensor, int[], int[], int[], FusedActivation)
Transpose 2D convolution
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 | |
int[] | stride | stride |
int[] | pad | padding |
int[] | outputAdjustment | output adjustments |
Layer.FusedActivation | fusedActivation | fused activation type |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Conv3D(Tensor, Tensor, Tensor, int[], int[], FusedActivation)
3D convolution
Declaration
public virtual 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 | |
int[] | stride | stride |
int[] | pad | padding |
Layer.FusedActivation | fusedActivation | fused activation type |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Copy(Tensor)
Copy
Declaration
public virtual Tensor Copy(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
CopyAndReshape(Tensor, TensorShape)
Copy and reshape Tensor
Declaration
protected virtual Tensor CopyAndReshape(Tensor X, TensorShape shape)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | input |
TensorShape | shape | shape |
Returns
Type | Description |
---|---|
Tensor | output |
Cos(Tensor)
Cos
Declaration
public virtual Tensor Cos(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Cosh(Tensor)
Cosh
Declaration
public virtual Tensor Cosh(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Dense(Tensor, Tensor, Tensor, FusedActivation)
Dense layer (matrix multiplication) o = x
⨯ w
+ b
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 | fused activation type |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
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 virtual Tensor Dense3(Tensor X, Tensor W, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
Tensor | W | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
DepthToSpace(Tensor, int[], DepthToSpaceMode)
Depth to space
Declaration
public virtual Tensor DepthToSpace(Tensor X, int[] blocksize, Layer.DepthToSpaceMode mode)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | blocksize | |
Layer.DepthToSpaceMode | mode | mode |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
DepthwiseConv2D(Tensor, Tensor, Tensor, int[], int[], FusedActivation)
Depthwise 2D convolution
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 | |
int[] | stride | stride |
int[] | pad | padding |
Layer.FusedActivation | fusedActivation | fused activation type |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Div(Tensor[])
Divide tensors o = tensors[0] / tensors[1] / ... / tensors[N-1]
Declaration
public virtual Tensor Div(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Dropout(Tensor, float)
Dropout
Declaration
public virtual Tensor Dropout(Tensor X, float alpha)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
float | alpha | alpha |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Elu(Tensor, float)
ELU
Declaration
public virtual Tensor Elu(Tensor X, float alpha)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
float | alpha | alpha |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Equal(Tensor, Tensor)
Equal
Declaration
public virtual Tensor Equal(Tensor A, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | A | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | Tensor with |
Exp(Tensor)
Exponent e^x
Declaration
public virtual Tensor Exp(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Expand(Tensor, TensorShape)
Expand
Declaration
public virtual Tensor Expand(Tensor X, TensorShape newShape)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
TensorShape | newShape |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Flatten(Tensor)
Flatten
Declaration
public virtual Tensor Flatten(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Floor(Tensor)
Floor
Declaration
public virtual Tensor Floor(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Gather(Tensor[], int)
Gather
Declaration
public virtual Tensor Gather(Tensor[] tensors, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Gaussian(float, float)
Gaussian distribution
Declaration
protected float Gaussian(float mean, float stdDev)
Parameters
Type | Name | Description |
---|---|---|
float | mean | mean |
float | stdDev | standard deviation |
Returns
Type | Description |
---|---|
float | random value |
GlobalAvgPool2D(Tensor)
2D global average pooling
Declaration
public virtual Tensor GlobalAvgPool2D(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
GlobalAvgVariancePool2D(Tensor)
2D global average variance pooling
Declaration
public virtual Tensor GlobalAvgVariancePool2D(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
GlobalMaxPool2D(Tensor)
2D global max pooling
Declaration
public virtual Tensor GlobalMaxPool2D(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Greater(Tensor, Tensor)
Greater
Declaration
public virtual Tensor Greater(Tensor A, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | A | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | Tensor with |
GreaterEqual(Tensor, Tensor)
Greater or equal
Declaration
public virtual Tensor GreaterEqual(Tensor A, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | A | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | Tensor with |
LRN(Tensor, float, float, float, int)
LRN (Local Response Normalization)
Declaration
public virtual Tensor LRN(Tensor X, float alpha, float beta, float bias, int size)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
float | alpha | alpha |
float | beta | beta |
float | bias | bias |
int | size | size |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
LSTM(Tensor, Tensor[], Tensor[], Tensor[], Tensor[], Tensor, Tensor)
LSTM
Declaration
public Tensor[] LSTM(Tensor X, Tensor[] W, Tensor[] R, Tensor[] Wb, Tensor[] Rb, Tensor hidden, Tensor cell)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | The input sequences packed into one 3-D tensor. |
Tensor[] | W | W parameter weight matrix for input, output, forget, and cell gates - W[iofc] |
Tensor[] | R | R recurrence weight matrix for input, output, forget, and cell gates - R[iofc] |
Tensor[] | Wb | W bias vectors for input, output, forget, and cell gates - Wb[iofc] |
Tensor[] | Rb | R bias vectors for input, output, forget, and cell gates - Rb[iofc] |
Tensor | hidden | Initial value of the hidden |
Tensor | cell | Initial value of the cell |
Returns
Type | Description |
---|---|
Tensor[] | [Y (concatenated intermediate values of the hidden), Y_h (final hidden), Y_c (final cell)] |
LeakyRelu(Tensor, float)
Leaky ReLU
Declaration
public virtual Tensor LeakyRelu(Tensor X, float alpha)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
float | alpha | alpha |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Less(Tensor, Tensor)
Less
Declaration
public virtual Tensor Less(Tensor A, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | A | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | Tensor with |
LessEqual(Tensor, Tensor)
Less or equal
Declaration
public virtual Tensor LessEqual(Tensor A, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | A | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | Tensor with |
Log(Tensor)
Log
Declaration
public virtual Tensor Log(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
LogSoftmax(Tensor)
LogSoftmax
Declaration
public virtual Tensor LogSoftmax(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
LogicalAnd(Tensor, Tensor)
And
Declaration
public virtual Tensor LogicalAnd(Tensor A, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | A | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | Tensor with |
LogicalNot(Tensor)
Not
Declaration
public virtual Tensor LogicalNot(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | Tensor with !x values |
LogicalOr(Tensor, Tensor)
Or
Declaration
public virtual Tensor LogicalOr(Tensor A, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | A | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | Tensor with |
LogicalXor(Tensor, Tensor)
Xor
Declaration
public virtual Tensor LogicalXor(Tensor A, Tensor B)
Parameters
Type | Name | Description |
---|---|---|
Tensor | A | |
Tensor | B |
Returns
Type | Description |
---|---|
Tensor | Tensor with |
MatMul(Tensor, bool, Tensor, bool)
Simple 2D matrix multiplication O = X
⨯ Y
Declaration
public virtual Tensor MatMul(Tensor X, bool xTranspose, Tensor Y, bool yTranspose)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | left Tensor |
bool | xTranspose |
|
Tensor | Y | right Tensor |
bool | yTranspose |
|
Returns
Type | Description |
---|---|
Tensor | output Tensor |
MatMul(Tensor, int, Tensor, int)
Multidimensional Matrix multiplication o = x
⨯ y
Declaration
public virtual Tensor MatMul(Tensor X, int rankX, Tensor Y, int rankY)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | rankX | rank of |
Tensor | Y | |
int | rankY | rank of |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Max(Tensor[])
Max
Declaration
public virtual Tensor Max(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
MaxPool2D(Tensor, int[], int[], int[])
2D max pooling
Declaration
public virtual Tensor MaxPool2D(Tensor X, int[] pool, int[] stride, int[] pad)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | pool | pooling |
int[] | stride | stride |
int[] | pad | padding |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Mean(Tensor[])
Mean
Declaration
public virtual Tensor Mean(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Min(Tensor[])
Min
Declaration
public virtual Tensor Min(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Mul(Tensor[])
Multiply tensors together
Declaration
public virtual Tensor Mul(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Multinomial(Tensor, int, int)
Multinomial random distribution
Declaration
public virtual Tensor Multinomial(Tensor X, int count, int seed)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | count | count |
int | seed | seed |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Neg(Tensor)
Neg
Declaration
public virtual Tensor Neg(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
NewTensor(int, int, int, int, string)
Allocate new Tensor
via allocator
Declaration
protected Tensor NewTensor(int b, int h, int w, int ch, string name = "")
Parameters
Type | Name | Description |
---|---|---|
int | b | batch |
int | h | height |
int | w | width |
int | ch | channels |
string | name | name |
Returns
Type | Description |
---|---|
Tensor | new |
NewTensor(int, int, string)
Allocate new Tensor
via allocator
Declaration
protected Tensor NewTensor(int b, int ch, string name = "")
Parameters
Type | Name | Description |
---|---|---|
int | b | batch |
int | ch | channels |
string | name | name |
Returns
Type | Description |
---|---|
Tensor | new |
NewTensor(TensorShape, string)
Allocate new Tensor
via allocator
Declaration
protected Tensor NewTensor(TensorShape s, string name = "")
Parameters
Type | Name | Description |
---|---|---|
TensorShape | s | shape |
string | name | name |
Returns
Type | Description |
---|---|
Tensor | new |
NewTensorLike(Tensor)
Allocate new Tensor
similar to specified Tensor
t
Declaration
protected Tensor NewTensorLike(Tensor t)
Parameters
Type | Name | Description |
---|---|---|
Tensor | t |
|
Returns
Type | Description |
---|---|
Tensor | new |
NewTensorLike(Tensor[])
Allocate new Tensor
corresponding to max shape of specified tensors
Declaration
protected Tensor NewTensorLike(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | tensors |
Returns
Type | Description |
---|---|
Tensor | new |
NonMaxSuppression(Tensor[], int, float, float, int)
Non max suppression tensors[0] - boxes, tensors[1] - scores
Declaration
public Tensor NonMaxSuppression(Tensor[] tensors, int maxOutputBoxesPerClass, float iouThreshold, float scoreThreshold, int centerPointBox)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | |
int | maxOutputBoxesPerClass | max output boxes per class |
float | iouThreshold | IOU (Intersection Over Union) threshold |
float | scoreThreshold | score threshold |
int | centerPointBox | center point box |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
NonZero(Tensor)
Indices for non zero values
Declaration
public Tensor NonZero(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | input |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Normalization(Tensor, Tensor, Tensor, int, int, float, FusedActivation)
Normalization
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 | |
int | pool | pooling |
int | axis | axis |
float | epsilon | threshold |
Layer.FusedActivation | fusedActivation | fused activation type |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
OneHot(Tensor, int, float, float)
One hot
Declaration
public virtual Tensor OneHot(Tensor X, int depth, float onValue, float offValue)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | depth | output depth |
float | onValue | on value |
float | offValue | off value |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
PRelu(Tensor, Tensor)
PReLU
Declaration
public virtual Tensor PRelu(Tensor X, Tensor S)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
Tensor | S |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Pad2DEdge(Tensor, int[])
Edge padding
Declaration
public virtual Tensor Pad2DEdge(Tensor X, int[] pad)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | pad | padding |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Pad2DReflect(Tensor, int[])
Reflection padding
Declaration
public virtual Tensor Pad2DReflect(Tensor X, int[] pad)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | pad | padding |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Pad2DSymmetric(Tensor, int[])
Symmetric padding
Declaration
public virtual Tensor Pad2DSymmetric(Tensor X, int[] pad)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | pad | padding |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Pow(Tensor, float)
Power
Declaration
public virtual Tensor Pow(Tensor X, float alpha)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
float | alpha | alpha |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Pow(Tensor[])
Raise tensors to the power o =tensors[0] ^ tensors[1] ^ ... ^ tensors[N-1]
Declaration
public virtual Tensor Pow(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Prepare(Tensor)
Prepares tensor for use
Declaration
public virtual Tensor Prepare(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | Tensor |
RandomNormal(TensorShape, float, float, int)
Normal random distribution
Declaration
public virtual Tensor RandomNormal(TensorShape s, float mean, float scale, int seed)
Parameters
Type | Name | Description |
---|---|---|
TensorShape | s | shape |
float | mean | mean |
float | scale | scale |
int | seed | seed |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
RandomUniform(TensorShape, float, float, int)
Uniform random distribution
Declaration
public virtual Tensor RandomUniform(TensorShape s, float mean, float scale, int seed)
Parameters
Type | Name | Description |
---|---|---|
TensorShape | s | shape |
float | mean | mean |
float | scale | scale |
int | seed | seed |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Reciprocal(Tensor)
Reciprocal (1/x)
Declaration
public virtual Tensor Reciprocal(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ReduceMax(Tensor, int)
Reduce with max
Declaration
public virtual Tensor ReduceMax(Tensor X, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ReduceMean(Tensor, int)
Reduce with mean
Declaration
public virtual Tensor ReduceMean(Tensor X, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ReduceMin(Tensor, int)
Reduce with min
Declaration
public virtual Tensor ReduceMin(Tensor X, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ReduceProd(Tensor, int)
Reduce with product
Declaration
public virtual Tensor ReduceProd(Tensor X, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ReduceSum(Tensor, int)
Reduce with sum
Declaration
public virtual Tensor ReduceSum(Tensor X, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Relu(Tensor)
ReLU
Declaration
public virtual Tensor Relu(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Relu6(Tensor)
ReLU capped to 6
Declaration
public virtual Tensor Relu6(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Resample2D(Tensor, int[], bool)
Resample 2D
Declaration
public virtual Tensor Resample2D(Tensor X, int[] size, bool bilinear)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | size | size |
bool | bilinear | bilinear flag |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ResetAllocator(bool)
Reset internal allocator
Declaration
public virtual void ResetAllocator(bool keepCachedMemory = true)
Parameters
Type | Name | Description |
---|---|---|
bool | keepCachedMemory | keep cached memory flag |
Reshape(Tensor, TensorShape)
Reshape
Declaration
public virtual Tensor Reshape(Tensor X, TensorShape newShape)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
TensorShape | newShape |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Round(Tensor)
Round to nearest integer. In case of halfs, round to nearest even integer
Declaration
public virtual Tensor Round(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
ScaleBias(Tensor, Tensor, Tensor)
Scale bias o = s * x + b, element wise
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 | output Tensor |
Selu(Tensor, float, float)
SELU
Declaration
public virtual Tensor Selu(Tensor X, float alpha, float gamma)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
float | alpha | alpha |
float | gamma | gamma |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Shape(Tensor, int)
Shape of the input
Declaration
public Tensor Shape(Tensor X, int axis = -1)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | input |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Sigmoid(Tensor)
Sigmoid
Declaration
public virtual Tensor Sigmoid(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Sign(Tensor)
Sign
Declaration
public virtual 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 |
Sin(Tensor)
Sin
Declaration
public virtual Tensor Sin(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Sinh(Tensor)
Sinh
Declaration
public virtual Tensor Sinh(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Softmax(Tensor, int)
Softmax
Declaration
public virtual Tensor Softmax(Tensor X, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Softplus(Tensor)
Softplus
Declaration
public virtual Tensor Softplus(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
SpaceToDepth(Tensor, int[])
Space to depth
Declaration
public virtual Tensor SpaceToDepth(Tensor X, int[] blocksize)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | blocksize |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Sqrt(Tensor)
Sqrt
Declaration
public virtual Tensor Sqrt(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
StridedSlice(Tensor, int[], int[], int[])
Strided slice
Declaration
public virtual Tensor StridedSlice(Tensor X, int[] starts4Dor8D, int[] ends4Dor8D, int[] strides4Dor8D)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | starts4Dor8D | |
int[] | ends4Dor8D | |
int[] | strides4Dor8D | stride |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Sub(Tensor[])
Subtract tensors o = tensors[0] - tensors[1] - ... - tensors[N-1]
Declaration
public virtual Tensor Sub(Tensor[] tensors)
Parameters
Type | Name | Description |
---|---|---|
Tensor[] | tensors | input tensors |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Swish(Tensor)
Swish
Declaration
public virtual Tensor Swish(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Tan(Tensor)
Tan
Declaration
public virtual Tensor Tan(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Tanh(Tensor)
Tanh
Declaration
public virtual Tensor Tanh(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Tile(Tensor, int[])
Tile
Declaration
public virtual Tensor Tile(Tensor X, int[] repeats)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | repeats | repetition counts |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
TopKIndices(Tensor, int, int, bool, bool)
Top K indices
Declaration
public virtual Tensor TopKIndices(Tensor X, int k, int axis, bool largest, bool sorted)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int | k | k |
int | axis | axis |
bool | largest | largest flag |
bool | sorted | sorted flag |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
TopKValues(Tensor, Tensor, int)
Top K values
Declaration
public virtual Tensor TopKValues(Tensor X, Tensor I, int axis)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | input |
Tensor | I | indices |
int | axis | axis |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Transpose(Tensor)
Transpose matrix
Declaration
public virtual Tensor Transpose(Tensor X)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Transpose(Tensor, int[])
Transpose according to permutations
Declaration
public virtual Tensor Transpose(Tensor X, int[] permutations)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | permutations | new axis order |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Upsample2D(Tensor, int[], bool)
Upsample 2D
Declaration
public virtual Tensor Upsample2D(Tensor X, int[] scale, bool bilinear)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | scale | scale |
bool | bilinear | bilinear flag |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Upsample3D(Tensor, int[], bool)
Upsample 3D
Declaration
public virtual Tensor Upsample3D(Tensor X, int[] scale, bool trilinear)
Parameters
Type | Name | Description |
---|---|---|
Tensor | X | |
int[] | scale | scale |
bool | trilinear | trilinear flag |
Returns
Type | Description |
---|---|
Tensor | output Tensor |
Where(Tensor, Tensor, Tensor)
Where
Declaration
public virtual 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 |