Class Functional

Represents the static functional methods for model building and compilation.

Inheritance

object

Functional

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Unity.Sentis

Assembly: Unity.Sentis.dll

Syntax

public static class Functional

Methods

ARange(int)

Returns a 1D tensor of size ⌈end / step⌉ with values from the interval [0, end) with a step 1 beginning from start.

Declaration

public static FunctionalTensor ARange(int end)

Parameters

Type	Name	Description
int	end	The upper end of the interval.

Returns

Type	Description
FunctionalTensor	The output tensor.

ARange(int, int, int)

Returns a 1D tensor of size ⌈(end − start) / step⌉ with values from the interval [start, end) with a step beginning from start.

Declaration

public static FunctionalTensor ARange(int start, int end, int step = 1)

Parameters

Type	Name	Description
int	start	The value of the first element.
int	end	The upper end of the interval.
int	step	The delta between each element.

Returns

Type	Description
FunctionalTensor	The output tensor.

ARange(float)

Returns a 1D tensor of size ⌈end / step⌉ with values from the interval [0, end) with a step 1 beginning from start.

Declaration

public static FunctionalTensor ARange(float end)

Parameters

Type	Name	Description
float	end	The upper end of the interval.

Returns

Type	Description
FunctionalTensor	The output tensor.

ARange(float, float, float)

Returns a 1D tensor of size ⌈(end − start) / step⌉ with values from the interval [start, end) with a step beginning from start.

Declaration

public static FunctionalTensor ARange(float start, float end, float step = 1)

Parameters

Type	Name	Description
float	start	The value of the first element.
float	end	The upper end of the interval.
float	step	The delta between each element.

Returns

Type	Description
FunctionalTensor	The output tensor.

Abs(FunctionalTensor)

Returns |input| element-wise.

Declaration

public static FunctionalTensor Abs(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Acos(FunctionalTensor)

Returns acos(input) element-wise.

Declaration

public static FunctionalTensor Acos(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Acosh(FunctionalTensor)

Returns acosh(input) element-wise.

Declaration

public static FunctionalTensor Acosh(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Add(FunctionalTensor, FunctionalTensor)

Returns input + other element-wise.

Declaration

public static FunctionalTensor Add(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

ArgMax(FunctionalTensor, int, bool)

Returns the indices of the maximum value of the elements of the input along a dimension.

Declaration

public static FunctionalTensor ArgMax(FunctionalTensor input, int dim = 0, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension to reduce.
bool	keepdim	Whether to keep the reduced dimension in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ArgMin(FunctionalTensor, int, bool)

Returns the indices of the minimum value of the elements of the input along a dimension.

Declaration

public static FunctionalTensor ArgMin(FunctionalTensor input, int dim = 0, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension to reduce.
bool	keepdim	Whether to keep the reduced dimension in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

Asin(FunctionalTensor)

Returns asin(input) element-wise.

Declaration

public static FunctionalTensor Asin(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Asinh(FunctionalTensor)

Returns asinh(input) element-wise.

Declaration

public static FunctionalTensor Asinh(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

AtLeast1D(params FunctionalTensor[])

Returns an array where each input tensor with rank less than 1 is expanded to rank 1.

Declaration

public static FunctionalTensor[] AtLeast1D(params FunctionalTensor[] tensors)

Parameters

Type	Name	Description
FunctionalTensor[]	tensors	The input tensor array.

Returns

Type	Description
FunctionalTensor[]	The output tensor array.

AtLeast2D(params FunctionalTensor[])

Returns an array where each input tensor with rank less than 2 is expanded to rank 2.

Declaration

public static FunctionalTensor[] AtLeast2D(params FunctionalTensor[] tensors)

Parameters

Type	Name	Description
FunctionalTensor[]	tensors	The input tensor array.

Returns

Type	Description
FunctionalTensor[]	The output tensor array.

AtLeast3D(params FunctionalTensor[])

Returns an array where each input tensor with rank less than 3 is expanded to rank 3.

Declaration

public static FunctionalTensor[] AtLeast3D(params FunctionalTensor[] tensors)

Parameters

Type	Name	Description
FunctionalTensor[]	tensors	The input tensor array.

Returns

Type	Description
FunctionalTensor[]	The output tensor array.

Atan(FunctionalTensor)

Returns atan(input) element-wise.

Declaration

public static FunctionalTensor Atan(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Atanh(FunctionalTensor)

Returns atanh(input) element-wise.

Declaration

public static FunctionalTensor Atanh(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

AvgPool1D(FunctionalTensor, int, int?, int)

Returns the result of a 1D average pooling of the input.

Declaration

public static FunctionalTensor AvgPool1D(FunctionalTensor input, int kernelSize, int? stride = null, int padding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	kernelSize	The size of the kernel.
int?	stride	The optional stride of the pooling. The default value is the kernel size.
int	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

AvgPool2D(FunctionalTensor, int, int?, int)

Returns the result of a 2D average pooling of the input.

Declaration

public static FunctionalTensor AvgPool2D(FunctionalTensor input, int kernelSize, int? stride = null, int padding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	kernelSize	The size of the kernel.
int?	stride	The optional stride of the pooling. The default value is the kernel size.
int	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

AvgPool2D(FunctionalTensor, (int, int), (int, int)?, (int, int)?)

Returns the result of a 2D average pooling of the input.

Declaration

public static FunctionalTensor AvgPool2D(FunctionalTensor input, (int, int) kernelSize, (int, int)? stride = null, (int, int)? padding = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
(int, int)	kernelSize	The size of the kernel.
(int, int)?	stride	The optional stride of the pooling. The default value is the kernel size.
(int, int)?	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

AvgPool3D(FunctionalTensor, int, int?, int)

Returns the result of a 3D average pooling of the input.

Declaration

public static FunctionalTensor AvgPool3D(FunctionalTensor input, int kernelSize, int? stride = null, int padding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	kernelSize	The size of the kernel.
int?	stride	The optional stride of the pooling. The default value is the kernel size.
int	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

AvgPool3D(FunctionalTensor, (int, int, int), (int, int, int)?, (int, int, int)?)

Returns the result of a 3D average pooling of the input.

Declaration

public static FunctionalTensor AvgPool3D(FunctionalTensor input, (int, int, int) kernelSize, (int, int, int)? stride = null, (int, int, int)? padding = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
(int, int, int)	kernelSize	The size of the kernel.
(int, int, int)?	stride	The optional stride of the pooling. The default value is the kernel size.
(int, int, int)?	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

BatchNorm(FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, float)

Returns the result of computing the mean variance on the second dimension of the input tensor and normalizes it according to the weight and bias.

Declaration

public static FunctionalTensor BatchNorm(FunctionalTensor input, FunctionalTensor runningMean, FunctionalTensor runningVar, FunctionalTensor weight, FunctionalTensor bias, float eps = 1E-05)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	runningMean	The mean values tensor.
FunctionalTensor	runningVar	The variance values tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The bias tensor.
float	eps	The epsilon value used to avoid division by zero.

Returns

Type	Description
FunctionalTensor	The output tensor.

Bernoulli(FunctionalTensor, DataType, int?)

Returns an output generated with values 0 and 1 from a Bernoulli distribution.

Declaration

public static FunctionalTensor Bernoulli(FunctionalTensor input, DataType dataType = DataType.Int, int? seed = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The probabilities used for generating the output values.
DataType	dataType	The data type of the output.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

BroadcastTo(FunctionalTensor, int[])

Returns the input tensor broadcasted to a shape using the numpy broadcasting rules.

Declaration

public static FunctionalTensor BroadcastTo(this FunctionalTensor input, int[] shape)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	shape	The shape to broadcast to.

Returns

Type	Description
FunctionalTensor	The output tensor.

Ceil(FunctionalTensor)

Returns ⌈input⌉ element-wise.

Declaration

public static FunctionalTensor Ceil(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Celu(FunctionalTensor, float)

Returns celu(input) element-wise.

Declaration

public static FunctionalTensor Celu(FunctionalTensor input, float alpha = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
float	alpha	The alpha value for the celu.

Returns

Type	Description
FunctionalTensor	The output tensor.

Clamp(FunctionalTensor, int, int)

Returns input clamped to the range [min, max] element-wise.

Declaration

public static FunctionalTensor Clamp(FunctionalTensor input, int min, int max)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	min	The min value.
int	max	The max value.

Returns

Type	Description
FunctionalTensor	The output tensor.

Clamp(FunctionalTensor, float, float)

Returns input clamped to the range [min, max] element-wise.

Declaration

public static FunctionalTensor Clamp(FunctionalTensor input, float min, float max)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
float	min	The min value.
float	max	The max value.

Returns

Type	Description
FunctionalTensor	The output tensor.

Clone(FunctionalTensor)

Returns a copy of the input.

Declaration

public static FunctionalTensor Clone(this FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Compile(Func<(FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>)

Compiles and returns a model from a forward method with no inputs and four outputs.

Declaration

public static Model Compile(this Func<(FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward)

Parameters

Type	Name	Description
Func<(FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<(FunctionalTensor, FunctionalTensor, FunctionalTensor)>)

Compiles and returns a model from a forward method with no inputs and three outputs.

Declaration

public static Model Compile(this Func<(FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward)

Parameters

Type	Name	Description
Func<(FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<(FunctionalTensor, FunctionalTensor)>)

Compiles and returns a model from a forward method with no inputs and two outputs.

Declaration

public static Model Compile(this Func<(FunctionalTensor, FunctionalTensor)> forward)

Parameters

Type	Name	Description
Func<(FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>, InputDef)

Compiles and returns a model from a forward method with a single input and four outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward, InputDef inputDef)

Parameters

Type	Name	Description
Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
InputDef	inputDef	The input definition to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)>, InputDef)

Compiles and returns a model from a forward method with a single input and three outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward, InputDef inputDef)

Parameters

Type	Name	Description
Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
InputDef	inputDef	The input definition to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor)>, InputDef)

Compiles and returns a model from a forward method with a single input and two outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor)> forward, InputDef inputDef)

Parameters

Type	Name	Description
Func<FunctionalTensor, (FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
InputDef	inputDef	The input definition to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef))

Compiles and returns a model from a forward method with two inputs and four outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef))

Compiles and returns a model from a forward method with two inputs and three outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef))

Compiles and returns a model from a forward method with two inputs and two outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef, InputDef))

Compiles and returns a model from a forward method with three inputs and four outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef, InputDef))

Compiles and returns a model from a forward method with three inputs and three outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef, InputDef))

Compiles and returns a model from a forward method with three inputs and two outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef, InputDef, InputDef))

Compiles and returns a model from a forward method with four inputs and four outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef, InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef, InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef, InputDef, InputDef))

Compiles and returns a model from a forward method with four inputs and three outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef, InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef, InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)>, (InputDef, InputDef, InputDef, InputDef))

Compiles and returns a model from a forward method with four inputs and two outputs.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)> forward, (InputDef, InputDef, InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, (FunctionalTensor, FunctionalTensor)>	forward	The forward method to compile.
(InputDef, InputDef, InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor>, (InputDef, InputDef, InputDef, InputDef))

Compiles and returns a model from a forward method with four inputs and a single output.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor> forward, (InputDef, InputDef, InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor>	forward	The forward method to compile.
(InputDef, InputDef, InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor>, (InputDef, InputDef, InputDef))

Compiles and returns a model from a forward method with three inputs and a single output.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor> forward, (InputDef, InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor, FunctionalTensor>	forward	The forward method to compile.
(InputDef, InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor, FunctionalTensor>, (InputDef, InputDef))

Compiles and returns a model from a forward method with two inputs and a single output.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor, FunctionalTensor> forward, (InputDef, InputDef) inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor, FunctionalTensor>	forward	The forward method to compile.
(InputDef, InputDef)	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor, FunctionalTensor>, InputDef)

Compiles and returns a model from a forward method with a single input and a single output.

Declaration

public static Model Compile(this Func<FunctionalTensor, FunctionalTensor> forward, InputDef inputDef)

Parameters

Type	Name	Description
Func<FunctionalTensor, FunctionalTensor>	forward	The forward method to compile.
InputDef	inputDef	The input definition to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor[], FunctionalTensor[]>, InputDef[])

Compiles a forward method into a model.

Declaration

public static Model Compile(this Func<FunctionalTensor[], FunctionalTensor[]> forward, InputDef[] inputDefs)

Parameters

Type	Name	Description
Func<FunctionalTensor[], FunctionalTensor[]>	forward	The forward method to compile.
InputDef[]	inputDefs	The input definitions to compile.

Returns

Type	Description
Model	The compiled model.

Compile(Func<FunctionalTensor>)

Compiles and returns a model from a forward method with no inputs and a single output.

Declaration

public static Model Compile(this Func<FunctionalTensor> forward)

Parameters

Type	Name	Description
Func<FunctionalTensor>	forward	The forward method to compile.

Returns

Type	Description
Model	The compiled model.

Concat(FunctionalTensor[], int)

Returns the input tensors concatenated along a dimension.

Declaration

public static FunctionalTensor Concat(FunctionalTensor[] tensors, int dim = 0)

Parameters

Type	Name	Description
FunctionalTensor[]	tensors	The input tensors.
int	dim	The dimension along which to concatenate.

Returns

Type	Description
FunctionalTensor

Conv1D(FunctionalTensor, FunctionalTensor, FunctionalTensor, int, int, int, int)

Returns the result of a 1D convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor Conv1D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, int stride = 1, int padding = 0, int dilation = 1, int groups = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
int	stride	The stride value for each spatial dimension of the filter.
int	padding	The lower and upper padding values for each spatial dimension of the filter.
int	dilation	The dilation value of each spatial dimension of the filter.
int	groups	The number of groups that input channels and output channels are divided into.

Returns

Type	Description
FunctionalTensor	The output tensor.

Conv2D(FunctionalTensor, FunctionalTensor, FunctionalTensor, int, int, int, int)

Returns the result of a 2D convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor Conv2D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, int stride = 1, int padding = 0, int dilation = 1, int groups = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
int	stride	The stride value for each spatial dimension of the filter.
int	padding	The lower and upper padding values for each spatial dimension of the filter.
int	dilation	The dilation value of each spatial dimension of the filter.
int	groups	The number of groups that input channels and output channels are divided into.

Returns

Type	Description
FunctionalTensor	The output tensor.

Conv2D(FunctionalTensor, FunctionalTensor, FunctionalTensor, (int, int), (int, int), (int, int), int)

Returns the result of a 2D convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor Conv2D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, (int, int) stride, (int, int) padding, (int, int) dilation, int groups = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
(int, int)	stride	The stride value for each spatial dimension of the filter.
(int, int)	padding	The lower and upper padding values for each spatial dimension of the filter.
(int, int)	dilation	The dilation value of each spatial dimension of the filter.
int	groups	The number of groups that input channels and output channels are divided into.

Returns

Type	Description
FunctionalTensor	The output tensor.

Conv3D(FunctionalTensor, FunctionalTensor, FunctionalTensor, int, int, int, int)

Returns the result of a 3D convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor Conv3D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, int stride = 1, int padding = 0, int dilation = 1, int groups = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
int	stride	The stride value for each spatial dimension of the filter.
int	padding	The lower and upper padding values for each spatial dimension of the filter.
int	dilation	The dilation value of each spatial dimension of the filter.
int	groups	The number of groups that input channels and output channels are divided into.

Returns

Type	Description
FunctionalTensor	The output tensor.

Conv3D(FunctionalTensor, FunctionalTensor, FunctionalTensor, (int, int, int), (int, int, int), (int, int, int), int)

Returns the result of a 3D convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor Conv3D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, (int, int, int) stride, (int, int, int) padding, (int, int, int) dilation, int groups = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
(int, int, int)	stride	The stride value for each spatial dimension of the filter.
(int, int, int)	padding	The lower and upper padding values for each spatial dimension of the filter.
(int, int, int)	dilation	The dilation value of each spatial dimension of the filter.
int	groups	The number of groups that input channels and output channels are divided into.

Returns

Type	Description
FunctionalTensor	The output tensor.

ConvTranspose1D(FunctionalTensor, FunctionalTensor, FunctionalTensor, int, int, int)

Returns the result of a 1D transposed convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor ConvTranspose1D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, int stride = 1, int padding = 0, int outputPadding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
int	stride	The stride value for each spatial dimension of the filter.
int	padding	The lower and upper padding values for each spatial dimension of the filter.
int	outputPadding	The output padding value for each spatial dimension in the filter.

Returns

Type	Description
FunctionalTensor	The output tensor.

ConvTranspose2D(FunctionalTensor, FunctionalTensor, FunctionalTensor, int, int, int)

Returns the result of a 2D transposed convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor ConvTranspose2D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, int stride = 1, int padding = 0, int outputPadding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
int	stride	The stride value for each spatial dimension of the filter.
int	padding	The lower and upper padding values for each spatial dimension of the filter.
int	outputPadding	The output padding value for each spatial dimension in the filter.

Returns

Type	Description
FunctionalTensor	The output tensor.

ConvTranspose2D(FunctionalTensor, FunctionalTensor, FunctionalTensor, (int, int), (int, int), (int, int))

Returns the result of a 2D transposed convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor ConvTranspose2D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, (int, int) stride, (int, int) padding, (int, int) outputPadding)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
(int, int)	stride	The stride value for each spatial dimension of the filter.
(int, int)	padding	The lower and upper padding values for each spatial dimension of the filter.
(int, int)	outputPadding	The output padding value for each spatial dimension in the filter.

Returns

Type	Description
FunctionalTensor	The output tensor.

ConvTranspose3D(FunctionalTensor, FunctionalTensor, FunctionalTensor, int, int, int)

Returns the result of a 3D transposed convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor ConvTranspose3D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, int stride = 1, int padding = 0, int outputPadding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
int	stride	The stride value for each spatial dimension of the filter.
int	padding	The lower and upper padding values for each spatial dimension of the filter.
int	outputPadding	The output padding value for each spatial dimension in the filter.

Returns

Type	Description
FunctionalTensor	The output tensor.

ConvTranspose3D(FunctionalTensor, FunctionalTensor, FunctionalTensor, (int, int, int), (int, int, int), (int, int, int))

Returns the result of a 3D transposed convolution of the input with the weight and bias tensors.

Declaration

public static FunctionalTensor ConvTranspose3D(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, (int, int, int) stride, (int, int, int) padding, (int, int, int) outputPadding)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The optional bias tensor.
(int, int, int)	stride	The stride value for each spatial dimension of the filter.
(int, int, int)	padding	The lower and upper padding values for each spatial dimension of the filter.
(int, int, int)	outputPadding	The output padding value for each spatial dimension in the filter.

Returns

Type	Description
FunctionalTensor	The output tensor.

Cos(FunctionalTensor)

Returns cos(input) element-wise.

Declaration

public static FunctionalTensor Cos(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Cosh(FunctionalTensor)

Returns cosh(input) element-wise.

Declaration

public static FunctionalTensor Cosh(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

CumSum(FunctionalTensor, int)

Returns the cumulative sum of the elements of the input in a dimension.

Declaration

public static FunctionalTensor CumSum(FunctionalTensor input, int dim)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension in which to sum.

Returns

Type	Description
FunctionalTensor	The output tensor.

Deg2Rad(FunctionalTensor)

Returns the input values converted from angles in degrees to radians element-wise.

Declaration

public static FunctionalTensor Deg2Rad(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Div(FunctionalTensor, FunctionalTensor)

Returns input / other element-wise.

Declaration

public static FunctionalTensor Div(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Einsum(string, params FunctionalTensor[])

Returns the sums the product of the elements of the input tensors along dimensions specified using a notation based on the Einstein summation convention.

Declaration

public static FunctionalTensor Einsum(string equation, params FunctionalTensor[] operands)

Parameters

Type	Name	Description
string	equation	The equation of the Einstein summation as a comma-separated list of subscript labels.
FunctionalTensor[]	operands	The input tensors.

Returns

Type	Description
FunctionalTensor	The output tensor.

Elu(FunctionalTensor, float)

Returns elu(input) element-wise.

Declaration

public static FunctionalTensor Elu(FunctionalTensor input, float alpha = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
float	alpha	The alpha value for the elu.

Returns

Type	Description
FunctionalTensor	The output tensor.

Equals(FunctionalTensor, int)

Returns input == value element-wise.

Declaration

public static FunctionalTensor Equals(FunctionalTensor input, int value)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
int	value	The integer value.

Returns

Type	Description
FunctionalTensor	The output tensor.

Equals(FunctionalTensor, float)

Returns input == value element-wise.

Declaration

public static FunctionalTensor Equals(FunctionalTensor input, float value)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
float	value	The float value.

Returns

Type	Description
FunctionalTensor	The output tensor.

Equals(FunctionalTensor, FunctionalTensor)

Returns input == other element-wise.

Declaration

public static FunctionalTensor Equals(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Erf(FunctionalTensor)

Returns the error function of input element-wise.

Declaration

public static FunctionalTensor Erf(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Exp(FunctionalTensor)

Returns e^input element-wise.

Declaration

public static FunctionalTensor Exp(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

FMod(FunctionalTensor, FunctionalTensor)

Returns input % other element-wise. The sign of the output is the same as that of the dividend.

Declaration

public static FunctionalTensor FMod(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Flip(FunctionalTensor, int[])

Returns the input tensor with its elements reversed on some dimensions.

Declaration

public static FunctionalTensor Flip(this FunctionalTensor input, int[] dims)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dims	The dimensions on which to reverse the elements, values may not repeat.

Returns

Type	Description
FunctionalTensor	The output tensor.

FlipLR(FunctionalTensor)

Returns the input tensor with its elements reversed on the second dimension.

Declaration

public static FunctionalTensor FlipLR(this FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

FlipUD(FunctionalTensor)

Returns the input tensor with its elements reversed on the first dimension.

Declaration

public static FunctionalTensor FlipUD(this FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Float(FunctionalTensor)

Returns the input cast to floats element-wise.

Declaration

public static FunctionalTensor Float(this FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

FloatPower(FunctionalTensor, FunctionalTensor)

Returns input^exponent element-wise.

Declaration

public static FunctionalTensor FloatPower(FunctionalTensor input, FunctionalTensor exponent)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	exponent	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Floor(FunctionalTensor)

Returns ⌊input⌋ element-wise.

Declaration

public static FunctionalTensor Floor(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

FloorDivide(FunctionalTensor, FunctionalTensor)

Returns ⌊input/other⌋ element-wise.

Declaration

public static FunctionalTensor FloorDivide(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Frac(FunctionalTensor)

Returns the fractional part of the input element-wise.

Declaration

public static FunctionalTensor Frac(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Full(int[], int)

Returns a tensor filled with a constant value with a shape.

Declaration

public static FunctionalTensor Full(int[] size, int fillValue)

Parameters

Type	Name	Description
int[]	size	The shape of the tensor.
int	fillValue	The fill value of the tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Full(int[], float)

Returns a tensor filled with a constant value with a shape.

Declaration

public static FunctionalTensor Full(int[] size, float fillValue)

Parameters

Type	Name	Description
int[]	size	The shape of the tensor.
float	fillValue	The fill value of the tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

FullLike(FunctionalTensor, int)

Returns a tensor filled with a constant value with the same shape as the input tensor.

Declaration

public static FunctionalTensor FullLike(FunctionalTensor input, int fillValue)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	fillValue	The fill value of the tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

FullLike(FunctionalTensor, float)

Returns a tensor filled with a constant value with the same shape as the input tensor.

Declaration

public static FunctionalTensor FullLike(FunctionalTensor input, float fillValue)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
float	fillValue	The fill value of the tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Gather(FunctionalTensor, int, FunctionalTensor)

Returns the input tensor gathered along a dimension with indices.

Declaration

public static FunctionalTensor Gather(this FunctionalTensor input, int dim, FunctionalTensor index)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to gather.
FunctionalTensor	index	The indices tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Gelu(FunctionalTensor)

Returns gelu(input) element-wise.

Declaration

public static FunctionalTensor Gelu(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Greater(FunctionalTensor, FunctionalTensor)

Returns input > other element-wise.

Declaration

public static FunctionalTensor Greater(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

GreaterEqual(FunctionalTensor, FunctionalTensor)

Returns input ≥ other element-wise.

Declaration

public static FunctionalTensor GreaterEqual(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

HardSigmoid(FunctionalTensor)

Returns hard_sigmoid(input) element-wise.

Declaration

public static FunctionalTensor HardSigmoid(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

HardSwish(FunctionalTensor)

Returns hardswish(input) element-wise.

Declaration

public static FunctionalTensor HardSwish(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

InstanceNorm(FunctionalTensor, FunctionalTensor, FunctionalTensor, float)

Returns the result of computing the mean variance on the spatial dimensions of the input tensor and normalizes it according to the weight and bias.

Declaration

public static FunctionalTensor InstanceNorm(FunctionalTensor input, FunctionalTensor weight, FunctionalTensor bias, float eps = 1E-05)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.
FunctionalTensor	bias	The bias tensor.
float	eps	The epsilon value used to avoid division by zero.

Returns

Type	Description
FunctionalTensor	The output tensor.

Int(FunctionalTensor)

Returns the input cast to integers element-wise.

Declaration

public static FunctionalTensor Int(this FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Interpolate(FunctionalTensor, int[], float[], string)

Returns the input tensor with the spatial dimensions downsampled or upsampled to a size or by a scale factor.

Declaration

public static FunctionalTensor Interpolate(FunctionalTensor input, int[] size = null, float[] scaleFactor = null, string mode = "nearest")

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	size	The optional output size.
float[]	scaleFactor	The optional output scale factors.
string	mode	The mode used for interpolating, can be 'nearest', 'linear', or 'bicubic'.

Returns

Type	Description
FunctionalTensor	The output tensor.

IsFinite(FunctionalTensor)

Returns an integer tensor with elements representing if each element of the input is finite.

Declaration

public static FunctionalTensor IsFinite(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

IsInf(FunctionalTensor)

Returns an integer tensor with elements representing if each element of the input is positive or negative infinity.

Declaration

public static FunctionalTensor IsInf(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

IsNaN(FunctionalTensor)

Returns an integer tensor with elements representing if each element of the input is NaN.

Declaration

public static FunctionalTensor IsNaN(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

LeakyRelu(FunctionalTensor, float)

Returns leaky_relu(input) element-wise.

Declaration

public static FunctionalTensor LeakyRelu(FunctionalTensor input, float negativeSlope = 0.01)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
float	negativeSlope	The negative slope value for the leaky relu.

Returns

Type	Description
FunctionalTensor	The output tensor.

Lerp(FunctionalTensor, FunctionalTensor, float)

Returns the linear interpolation input + weight * (end - input) element-wise.

Declaration

public static FunctionalTensor Lerp(FunctionalTensor input, FunctionalTensor end, float weight)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	end	The second input tensor.
float	weight	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Less(FunctionalTensor, FunctionalTensor)

Returns input < other element-wise.

Declaration

public static FunctionalTensor Less(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

LessEqual(FunctionalTensor, FunctionalTensor)

Returns input ≤ other element-wise.

Declaration

public static FunctionalTensor LessEqual(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

LinSpace(float, float, int)

Returns a 1D tensor of size steps with values evenly spaced from the interval [start, end].

Declaration

public static FunctionalTensor LinSpace(float start, float end, int steps)

Parameters

Type	Name	Description
float	start	The value of the first element.
float	end	The value of the last element.
int	steps	The number of elements.

Returns

Type	Description
FunctionalTensor	The output tensor.

LocalResponseNorm(FunctionalTensor, int, float, float, float)

Returns the result of normalizing the input tensor over local input regions.

Declaration

public static FunctionalTensor LocalResponseNorm(FunctionalTensor input, int size, float alpha = 0.0001, float beta = 0.75, float k = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	size	The size of the regions used for normalization.
float	alpha	The multiplicative factor in the normalization.
float	beta	The exponent in the normalization.
float	k	The additive factor in the normalization.

Returns

Type	Description
FunctionalTensor	The output tensor.

Log(FunctionalTensor)

Returns log(input) element-wise.

Declaration

public static FunctionalTensor Log(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Log10(FunctionalTensor)

Returns log10(input) element-wise.

Declaration

public static FunctionalTensor Log10(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Log1P(FunctionalTensor)

Returns log(input + 1) element-wise.

Declaration

public static FunctionalTensor Log1P(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Log2(FunctionalTensor)

Returns log2(input) element-wise.

Declaration

public static FunctionalTensor Log2(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

LogAddExp(FunctionalTensor, FunctionalTensor)

Returns log(e^input + e^other) element-wise.

Declaration

public static FunctionalTensor LogAddExp(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

LogSoftmax(FunctionalTensor, int)

Returns log(softmax(input)) element-wise along a dimension.

Declaration

public static FunctionalTensor LogSoftmax(FunctionalTensor input, int dim = -1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to calculate the softmax.

Returns

Type	Description
FunctionalTensor	The output tensor.

LogSpace(float, float, int, float)

Returns a 1D tensor of size steps with values evenly spaced from the interval [logBase^start, logBase^end] on a logarithmic scale.

Declaration

public static FunctionalTensor LogSpace(float start, float end, int steps, float logBase = 10)

Parameters

Type	Name	Description
float	start	The value of the first exponent.
float	end	The value of the last exponent.
int	steps	The number of elements.
float	logBase	The base of the logarithm.

Returns

Type	Description
FunctionalTensor	The output tensor.

LogicalAnd(FunctionalTensor, FunctionalTensor)

Returns the logical AND input & other element-wise.

Declaration

public static FunctionalTensor LogicalAnd(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

LogicalNot(FunctionalTensor)

Returns the logical NOT ~input element-wise.

Declaration

public static FunctionalTensor LogicalNot(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

LogicalOr(FunctionalTensor, FunctionalTensor)

Returns the logical OR input | other element-wise.

Declaration

public static FunctionalTensor LogicalOr(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

LogicalXor(FunctionalTensor, FunctionalTensor)

Returns the logical XOR input | other element-wise.

Declaration

public static FunctionalTensor LogicalXor(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

MatMul(FunctionalTensor, FunctionalTensor)

Returns the matrix product input x other.

Declaration

public static FunctionalTensor MatMul(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Max(FunctionalTensor, FunctionalTensor)

Returns the element-wise maximum of input and other.

Declaration

public static FunctionalTensor Max(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

MaxPool1D(FunctionalTensor, int, int?, int)

Returns the result of a 1D maximum pooling of the input.

Declaration

public static FunctionalTensor MaxPool1D(FunctionalTensor input, int kernelSize, int? stride = null, int padding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	kernelSize	The size of the kernel.
int?	stride	The optional stride of the pooling. The default value is the kernel size.
int	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

MaxPool2D(FunctionalTensor, int, int?, int)

Returns the result of a 2D maximum pooling of the input.

Declaration

public static FunctionalTensor MaxPool2D(FunctionalTensor input, int kernelSize, int? stride = null, int padding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	kernelSize	The size of the kernel.
int?	stride	The optional stride of the pooling. The default value is the kernel size.
int	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

MaxPool2D(FunctionalTensor, (int, int), (int, int)?, (int, int)?)

Returns the result of a 2D maximum pooling of the input.

Declaration

public static FunctionalTensor MaxPool2D(FunctionalTensor input, (int, int) kernelSize, (int, int)? stride = null, (int, int)? padding = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
(int, int)	kernelSize	The size of the kernel.
(int, int)?	stride	The optional stride of the pooling. The default value is the kernel size.
(int, int)?	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

MaxPool3D(FunctionalTensor, int, int?, int)

Returns the result of a 3D maximum pooling of the input.

Declaration

public static FunctionalTensor MaxPool3D(FunctionalTensor input, int kernelSize, int? stride = null, int padding = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	kernelSize	The size of the kernel.
int?	stride	The optional stride of the pooling. The default value is the kernel size.
int	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

MaxPool3D(FunctionalTensor, (int, int, int), (int, int, int)?, (int, int, int)?)

Returns the result of a 3D maximum pooling of the input.

Declaration

public static FunctionalTensor MaxPool3D(FunctionalTensor input, (int, int, int) kernelSize, (int, int, int)? stride = null, (int, int, int)? padding = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
(int, int, int)	kernelSize	The size of the kernel.
(int, int, int)?	stride	The optional stride of the pooling. The default value is the kernel size.
(int, int, int)?	padding	The amount of padding on the spatial dimensions of the input.

Returns

Type	Description
FunctionalTensor	The output tensor.

Min(FunctionalTensor, FunctionalTensor)

Returns the element-wise minimum of input and other.

Declaration

public static FunctionalTensor Min(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

MoveDim(FunctionalTensor, int, int)

Returns the input tensor with a dimension moved from source to destination.

Declaration

public static FunctionalTensor MoveDim(this FunctionalTensor input, int source, int destination)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	source	The dimension in the input tensor to move.
int	destination	The moved dimension in the output tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

MoveDim(FunctionalTensor, int[], int[])

Returns the input tensor with multiple dimensions moved from source to destination.

Declaration

public static FunctionalTensor MoveDim(this FunctionalTensor input, int[] source, int[] destination)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	source	The dimensions in the input tensor to move.
int[]	destination	The moved dimensions in the output tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Mul(FunctionalTensor, FunctionalTensor)

Returns input * other element-wise.

Declaration

public static FunctionalTensor Mul(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Multinomial(FunctionalTensor, int, int?)

Returns an output generated from the multinomial probability distribution in the corresponding row of the input.

Declaration

public static FunctionalTensor Multinomial(FunctionalTensor input, int numSamples, int? seed = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The probability distributions.
int	numSamples	The number of samples.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

NMS(FunctionalTensor, FunctionalTensor, float)

Returns the indexes of the boxes with the highest scores, which pass the intersect-over-union test to other output boxes.

Declaration

public static FunctionalTensor NMS(FunctionalTensor boxes, FunctionalTensor scores, float iouThreshold)

Parameters

Type	Name	Description
FunctionalTensor	boxes	The boxes tensor [N, 4] with (x1, y1, x2, y2) corners format with 0 ≤ x1 < x2 ≤ 1 and 0 ≤ y1 < y2 ≤ 1.
FunctionalTensor	scores	The scores tensor [N].(
float	iouThreshold	The threshold above which overlapping boxes are discarded.

Returns

Type	Description
FunctionalTensor	The output tensor.

Narrow(FunctionalTensor, int, int, int)

Returns the input tensor narrowed along a dimension.

Declaration

public static FunctionalTensor Narrow(this FunctionalTensor input, int dim, int start, int length)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to narrow.
int	start	The start index along the dimension.
int	length	The number of elements along the dimension.

Returns

Type	Description
FunctionalTensor

Narrow(FunctionalTensor, int, FunctionalTensor, FunctionalTensor)

Returns the input tensor narrowed along a dimension.

Declaration

public static FunctionalTensor Narrow(this FunctionalTensor input, int dim, FunctionalTensor start, FunctionalTensor length)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to narrow.
FunctionalTensor	start	The functional start index along the dimension.
FunctionalTensor	length	The functional number of elements along the dimension.

Returns

Type	Description
FunctionalTensor

Neg(FunctionalTensor)

Returns -input element-wise.

Declaration

public static FunctionalTensor Neg(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

NonZero(FunctionalTensor)

Returns the indices of the input tensor with values not equal to zero.

Declaration

public static FunctionalTensor NonZero(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Normal(float, float, int[], int?)

Returns an output generated by sampling a normal distribution.

Declaration

public static FunctionalTensor Normal(float mean, float std, int[] size, int? seed = null)

Parameters

Type	Name	Description
float	mean	The mean of the normal distribution.
float	std	The standard deviation of the normal distribution.
int[]	size	The shape of the output tensor.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

NotEqual(FunctionalTensor, FunctionalTensor)

Returns input ≠ other element-wise.

Declaration

public static FunctionalTensor NotEqual(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

OneHot(FunctionalTensor, int)

Returns a one hot tensor with given index values that has zeros everywhere except where the index of last dimension matches the corresponding value of the input tensor, in which case it will be 1.

Declaration

public static FunctionalTensor OneHot(FunctionalTensor tensor, int numClasses = -1)

Parameters

Type	Name	Description
FunctionalTensor	tensor	The index tensor.
int	numClasses	Total number of classes. If set to -1, the number of classes will be inferred as one greater than the largest class value in the input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Ones(int[], DataType)

Returns a tensor filled with ones with a shape and a data type.

Declaration

public static FunctionalTensor Ones(int[] size, DataType dataType = DataType.Int)

Parameters

Type	Name	Description
int[]	size	The shape of the tensor.
DataType	dataType	The data type of the tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

OnesLike(FunctionalTensor, DataType)

Returns a tensor filled with ones with the shape of input and a data type.

Declaration

public static FunctionalTensor OnesLike(FunctionalTensor input, DataType dataType = DataType.Int)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
DataType	dataType	The data type of the tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

PRelu(FunctionalTensor, FunctionalTensor)

Returns PRelu(input) element-wise.

Declaration

public static FunctionalTensor PRelu(FunctionalTensor input, FunctionalTensor weight)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	weight	The weight tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Pad(FunctionalTensor, int[], int)

Returns the input tensor padded with size determined by the pad array and a constant value.

Declaration

public static FunctionalTensor Pad(this FunctionalTensor input, int[] pad, int value)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	pad	The padding lower and upper sizes starting from the final dimension (pad_w_lower, pad_w_upper, pad_h_lower, pad_h_upper, ...), not all dimensions need to be padded.
int	value	The constant value to use for padding.

Returns

Type	Description
FunctionalTensor	The output tensor.

Pad(FunctionalTensor, int[], float)

Returns the input tensor padded with size determined by the pad array and a constant value.

Declaration

public static FunctionalTensor Pad(this FunctionalTensor input, int[] pad, float value)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	pad	The padding lower and upper sizes starting from the final dimension (pad_w_lower, pad_w_upper, pad_h_lower, pad_h_upper, ...), not all dimensions need to be padded.
float	value	The constant value to use for padding.

Returns

Type	Description
FunctionalTensor	The output tensor.

Pad(FunctionalTensor, int[], string)

Returns the input tensor padded with size determined by the pad array and values determined by the mode.

Declaration

public static FunctionalTensor Pad(this FunctionalTensor input, int[] pad, string mode)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	pad	The padding lower and upper sizes starting from the final dimension (pad_w_lower, pad_w_upper, pad_h_lower, pad_h_upper, ...), not all dimensions need to be padded.
string	mode	The mode to use for sampling values, should be constant, reflect, replicate or circular, for constant padding with non zero values use one of the other Pad methods.

Returns

Type	Description
FunctionalTensor	The output tensor.

Permute(FunctionalTensor, int[])

Returns the input tensor with permuted dimensions.

Declaration

public static FunctionalTensor Permute(this FunctionalTensor input, int[] dims)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dims	The dimensions of the input tensor to use in the permuted output tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

PixelShuffle(FunctionalTensor, int)

Returns the elements of the input tensor rearranged from a (∗,C×r^2,H,W) tensor to a (∗,C,H×r,W×r) tensor where r is the upscale factor.

Declaration

public static FunctionalTensor PixelShuffle(FunctionalTensor input, int upscaleFactor)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	upscaleFactor	The upscale factor.

Returns

Type	Description
FunctionalTensor	The output tensor.

PixelUnshuffle(FunctionalTensor, int)

Returns the elements of the input tensor rearranged from a (∗,C,H×r,W×r) tensor to a (∗,C×r^2,H,W) tensor where r is the downscale factor.

Declaration

public static FunctionalTensor PixelUnshuffle(FunctionalTensor input, int downscaleFactor)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	downscaleFactor	The downscale factor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Positive(FunctionalTensor)

Returns the input.

Declaration

public static FunctionalTensor Positive(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Pow(FunctionalTensor, float)

Returns input^exponent element-wise.

Declaration

public static FunctionalTensor Pow(FunctionalTensor input, float exponent)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
float	exponent	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Pow(FunctionalTensor, FunctionalTensor)

Returns input^exponent element-wise.

Declaration

public static FunctionalTensor Pow(FunctionalTensor input, FunctionalTensor exponent)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	exponent	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

RSqrt(FunctionalTensor)

Returns 1/√input element-wise.

Declaration

public static FunctionalTensor RSqrt(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Rad2Deg(FunctionalTensor)

Returns the input values converted from angles in radians to degrees element-wise.

Declaration

public static FunctionalTensor Rad2Deg(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Rand(int[], int?)

Returns an output generated by sampling a uniform distribution on the interval [0, 1).

Declaration

public static FunctionalTensor Rand(int[] size, int? seed = null)

Parameters

Type	Name	Description
int[]	size	The shape of the output tensor.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

RandInt(int[], int, int, int?)

Returns an output generated by sampling a uniform distribution of integers on the interval [low, high).

Declaration

public static FunctionalTensor RandInt(int[] size, int low, int high, int? seed = null)

Parameters

Type	Name	Description
int[]	size	The shape of the output tensor.
int	low	The inclusive minimum value of the interval.
int	high	The exclusive maximum value of the interval.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

RandIntLike(FunctionalTensor, int, int, int?)

Returns an output generated by sampling a uniform distribution of integers on the interval [low, high) with shape matching the input tensor.

Declaration

public static FunctionalTensor RandIntLike(FunctionalTensor input, int low, int high, int? seed = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	low	The inclusive minimum value of the interval.
int	high	The exclusive maximum value of the interval.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

RandLike(FunctionalTensor, int?)

Returns an output generated by sampling a uniform distribution on the interval [0, 1) with shape matching the input tensor.

Declaration

public static FunctionalTensor RandLike(FunctionalTensor input, int? seed = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

RandN(int[], int?)

Returns an output generated by sampling a standard normal distribution.

Declaration

public static FunctionalTensor RandN(int[] size, int? seed = null)

Parameters

Type	Name	Description
int[]	size	The shape of the output tensor.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

RandNLike(FunctionalTensor, int?)

Returns an output generated by sampling a standard normal distribution with shape matching the input tensor.

Declaration

public static FunctionalTensor RandNLike(FunctionalTensor input, int? seed = null)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int?	seed	The optional seed value for the random number generator.

Returns

Type	Description
FunctionalTensor	The output tensor.

Ravel(FunctionalTensor)

Returns the input tensor with its elements flattened to a single dimension.

Declaration

public static FunctionalTensor Ravel(this FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Reciprocal(FunctionalTensor)

Returns 1/input element-wise.

Declaration

public static FunctionalTensor Reciprocal(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceLogSumExp(FunctionalTensor, int, bool)

Returns the log of summed exponentials of the elements of the input tensor along the dimension.

Declaration

public static FunctionalTensor ReduceLogSumExp(FunctionalTensor input, int dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension to reduce.
bool	keepdim	Whether to keep the reduced dimension in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceLogSumExp(FunctionalTensor, int[], bool)

Returns the log of summed exponentials of the elements of the input tensor along the dimensions.

Declaration

public static FunctionalTensor ReduceLogSumExp(FunctionalTensor input, int[] dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dim	The dimensions to reduce.
bool	keepdim	Whether to keep the reduced dimensions in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceMax(FunctionalTensor, int, bool)

Returns the maximum value of the elements of the input tensor along the dimension.

Declaration

public static FunctionalTensor ReduceMax(FunctionalTensor input, int dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension to reduce.
bool	keepdim	Whether to keep the reduced dimension in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceMax(FunctionalTensor, int[], bool)

Returns the maximum value of the elements of the input tensor along the dimensions.

Declaration

public static FunctionalTensor ReduceMax(FunctionalTensor input, int[] dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dim	The dimensions to reduce.
bool	keepdim	Whether to keep the reduced dimensions in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceMean(FunctionalTensor, int, bool)

Returns the mean of the elements of the input tensor along the dimension.

Declaration

public static FunctionalTensor ReduceMean(FunctionalTensor input, int dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension to reduce.
bool	keepdim	Whether to keep the reduced dimension in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceMean(FunctionalTensor, int[], bool)

Returns the mean of the elements of the input tensor along the dimensions.

Declaration

public static FunctionalTensor ReduceMean(FunctionalTensor input, int[] dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dim	The dimensions to reduce.
bool	keepdim	Whether to keep the reduced dimensions in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceMin(FunctionalTensor, int, bool)

Returns the minimum value of the elements of the input tensor along the dimension.

Declaration

public static FunctionalTensor ReduceMin(FunctionalTensor input, int dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension to reduce.
bool	keepdim	Whether to keep the reduced dimension in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceMin(FunctionalTensor, int[], bool)

Returns the minimum value of the elements of the input tensor along the dimensions.

Declaration

public static FunctionalTensor ReduceMin(FunctionalTensor input, int[] dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dim	The dimensions to reduce.
bool	keepdim	Whether to keep the reduced dimensions in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceProd(FunctionalTensor, int, bool)

Returns the product of the elements of the input tensor along the dimension.

Declaration

public static FunctionalTensor ReduceProd(FunctionalTensor input, int dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension to reduce.
bool	keepdim	Whether to keep the reduced dimension in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceProd(FunctionalTensor, int[], bool)

Returns the product of the elements of the input tensor along the dimensions.

Declaration

public static FunctionalTensor ReduceProd(FunctionalTensor input, int[] dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dim	The dimensions to reduce.
bool	keepdim	Whether to keep the reduced dimensions in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceSum(FunctionalTensor, int, bool)

Returns the sum of the elements of the input tensor along the dimension.

Declaration

public static FunctionalTensor ReduceSum(FunctionalTensor input, int dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension to reduce.
bool	keepdim	Whether to keep the reduced dimension in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

ReduceSum(FunctionalTensor, int[], bool)

Returns the sum of the elements of the input tensor along the dimensions.

Declaration

public static FunctionalTensor ReduceSum(FunctionalTensor input, int[] dim, bool keepdim = false)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dim	The dimensions to reduce.
bool	keepdim	Whether to keep the reduced dimensions in the output.

Returns

Type	Description
FunctionalTensor	The output tensor.

Relu(FunctionalTensor)

Returns relu(input) element-wise.

Declaration

public static FunctionalTensor Relu(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Relu6(FunctionalTensor)

Returns relu6(input) element-wise.

Declaration

public static FunctionalTensor Relu6(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Remainder(FunctionalTensor, FunctionalTensor)

Returns input % other element-wise. The sign of the output is the same as that of the divider.

Declaration

public static FunctionalTensor Remainder(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Reshape(FunctionalTensor, int[])

Returns the input tensor elements reshaped.

Declaration

public static FunctionalTensor Reshape(this FunctionalTensor input, int[] shape)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	shape	The shape of the output tensor. A negative value is inferred from the others.

Returns

Type	Description
FunctionalTensor	The output tensor.

Round(FunctionalTensor)

Returns [input] element-wise.

Declaration

public static FunctionalTensor Round(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Scatter(FunctionalTensor, int, FunctionalTensor, FunctionalTensor)

Returns a copy of the input with the elements replaced by those from source given by the index along a dimension.

Declaration

public static FunctionalTensor Scatter(FunctionalTensor input, int dim, FunctionalTensor index, FunctionalTensor src)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to scatter.
FunctionalTensor	index	The index tensor.
FunctionalTensor	src	The source tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

ScatterAdd(FunctionalTensor, int, FunctionalTensor, FunctionalTensor)

Returns a copy of the input with the elements updated by adding by those from source given by the index along a dimension.

Declaration

public static FunctionalTensor ScatterAdd(FunctionalTensor input, int dim, FunctionalTensor index, FunctionalTensor src)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to scatter.
FunctionalTensor	index	The index tensor.
FunctionalTensor	src	The source tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Select(FunctionalTensor, int, int)

Returns the input tensor sliced along a dimension at an index.

Declaration

public static FunctionalTensor Select(this FunctionalTensor input, int dim, int index)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to select.
int	index	The index along the dimension to select.

Returns

Type	Description
FunctionalTensor	The output tensor.

Select(FunctionalTensor, int, FunctionalTensor)

Returns the input tensor sliced along a dimension at an index.

Declaration

public static FunctionalTensor Select(this FunctionalTensor input, int dim, FunctionalTensor index)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to select.
FunctionalTensor	index	The functional index along the dimension to select.

Returns

Type	Description
FunctionalTensor	The output tensor.

SelectScatter(FunctionalTensor, FunctionalTensor, int, int)

Returns a copy of the input with the elements replaced by those from source at a dimension and index.

Declaration

public static FunctionalTensor SelectScatter(FunctionalTensor input, FunctionalTensor src, int dim, int index)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	src	The source tensor.
int	dim	The dimension along which to scatter.
int	index	The index at which to scatter along the dimension.

Returns

Type	Description
FunctionalTensor	The output tensor.

Selu(FunctionalTensor)

Returns selu(input) element-wise.

Declaration

public static FunctionalTensor Selu(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Sigmoid(FunctionalTensor)

Returns sigmoid(input) element-wise.

Declaration

public static FunctionalTensor Sigmoid(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Sign(FunctionalTensor)

Returns the sign of the input element-wise.

Declaration

public static FunctionalTensor Sign(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Sin(FunctionalTensor)

Returns sin(input) element-wise.

Declaration

public static FunctionalTensor Sin(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Sinh(FunctionalTensor)

Returns sinh(input) element-wise.

Declaration

public static FunctionalTensor Sinh(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

SliceScatter(FunctionalTensor, FunctionalTensor, int, int, int, int)

Returns a copy of the input with the elements replaced by those from source along a dimension with start, end and step.

Declaration

public static FunctionalTensor SliceScatter(FunctionalTensor input, FunctionalTensor src, int dim = 0, int start = 0, int end = 2147483647, int step = 1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	src	The source tensor.
int	dim	The dimension along which to scatter.
int	start	The index of the first element to replace along the dimension.
int	end	The end index of the scatter along the dimension.
int	step	The step between the indices along the dimension.

Returns

Type	Description
FunctionalTensor	The output tensor.

Softmax(FunctionalTensor, int)

Returns softmax(input) element-wise along a dimension.

Declaration

public static FunctionalTensor Softmax(FunctionalTensor input, int dim = -1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension along which to calculate the softmax.

Returns

Type	Description
FunctionalTensor	The output tensor.

Softplus(FunctionalTensor)

Returns softplus(input) element-wise.

Declaration

public static FunctionalTensor Softplus(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Softsign(FunctionalTensor)

Returns softsign(input) element-wise.

Declaration

public static FunctionalTensor Softsign(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Split(FunctionalTensor, int[], int)

Returns an array of tensors by splitting the input into sections along a dimension.

Declaration

public static FunctionalTensor[] Split(this FunctionalTensor input, int[] sections, int dim = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	sections	The length of each section along the dimension.
int	dim	The dimension along which to split.

Returns

Type	Description
FunctionalTensor[]	The output tensor.

Sqrt(FunctionalTensor)

Returns √(input) element-wise.

Declaration

public static FunctionalTensor Sqrt(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Square(FunctionalTensor)

Returns input*input element-wise.

Declaration

public static FunctionalTensor Square(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Squeeze(FunctionalTensor)

Returns the input tensor with all dimensions of size 1 removed.

Declaration

public static FunctionalTensor Squeeze(this FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Squeeze(FunctionalTensor, int[])

Returns the input tensor with all specified dimensions of size 1 removed.

Declaration

public static FunctionalTensor Squeeze(this FunctionalTensor input, int[] dim)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dim	The dimensions of size 1 to remove.

Returns

Type	Description
FunctionalTensor	The output tensor.

Stack(FunctionalTensor[], int)

Returns the input tensors concatenated along a new dimension.

Declaration

public static FunctionalTensor Stack(FunctionalTensor[] tensors, int dim = 0)

Parameters

Type	Name	Description
FunctionalTensor[]	tensors	The input tensors.
int	dim	The dimension along which to stack.

Returns

Type	Description
FunctionalTensor	The output tensor.

Sub(FunctionalTensor, FunctionalTensor)

Returns input - other element-wise.

Declaration

public static FunctionalTensor Sub(FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Take(FunctionalTensor, FunctionalTensor)

Returns a tensor with the elements of input at indices.

Declaration

public static FunctionalTensor Take(this FunctionalTensor input, FunctionalTensor index)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
FunctionalTensor	index	The index tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Tan(FunctionalTensor)

Returns tan(input) element-wise.

Declaration

public static FunctionalTensor Tan(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Tanh(FunctionalTensor)

Returns tanh(input) element-wise.

Declaration

public static FunctionalTensor Tanh(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Tensor(int)

Returns a scalar integer tensor.

Declaration

public static FunctionalTensor Tensor(int value)

Parameters

Type	Name	Description
int	value	The value of the element.

Returns

Type	Description
FunctionalTensor	The tensor.

Tensor(int[])

Returns a 1D integer tensor.

Declaration

public static FunctionalTensor Tensor(int[] values)

Parameters

Type	Name	Description
int[]	values	The values of the elements.

Returns

Type	Description
FunctionalTensor	The tensor.

Tensor(float)

Returns a scalar float tensor.

Declaration

public static FunctionalTensor Tensor(float value)

Parameters

Type	Name	Description
float	value	The value of the element.

Returns

Type	Description
FunctionalTensor	The tensor.

Tensor(float[])

Returns a 1D float tensor.

Declaration

public static FunctionalTensor Tensor(float[] values)

Parameters

Type	Name	Description
float[]	values	The values of the elements.

Returns

Type	Description
FunctionalTensor	The tensor.

Tile(FunctionalTensor, int[])

Returns the input tensor repeated on the dims.

Declaration

public static FunctionalTensor Tile(this FunctionalTensor input, int[] dims)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int[]	dims	The number of times to repeat the input tensor along each dim.

Returns

Type	Description
FunctionalTensor	The output tensor.

TopK(FunctionalTensor, int, int, bool, bool)

Returns the k largest elements of the input tensor along a given dimension.

Declaration

public static FunctionalTensor[] TopK(FunctionalTensor input, int k, int dim = -1, bool largest = true, bool sorted = true)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	k	The number of elements to calculate.
int	dim	The axis along which to perform the top-K operation.
bool	largest	Whether to calculate the top-K largest elements. If this is false the layer calculates the top-K smallest elements.
bool	sorted	Whether to return the elements in sorted order in the output tensor.

Returns

Type	Description
FunctionalTensor[]	The output values and indices tensors in an array.

Transpose(FunctionalTensor, int, int)

Returns the input tensor with two dimensions swapped.

Declaration

public static FunctionalTensor Transpose(this FunctionalTensor input, int dim0, int dim1)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim0	The first dimension to swap.
int	dim1	The second dimension to swap.

Returns

Type	Description
FunctionalTensor	The output tensor.

TriL(FunctionalTensor, int)

Retains the lower triangular values of an input matrix (batch). THe other values are zeroed.

Declaration

public static FunctionalTensor TriL(FunctionalTensor input, int diagonal = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	diagonal	The integer offset of the diagonal.

Returns

Type	Description
FunctionalTensor	The output tensor.

TriU(FunctionalTensor, int)

Retains the upper triangular values of an input matrix (batch). THe other values are zeroed.

Declaration

public static FunctionalTensor TriU(FunctionalTensor input, int diagonal = 0)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	diagonal	The integer offset of the diagonal.

Returns

Type	Description
FunctionalTensor	The output tensor.

Trunc(FunctionalTensor)

Returns the truncated integer values of the elements of input element-wise.

Declaration

public static FunctionalTensor Trunc(FunctionalTensor input)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Type(FunctionalTensor, DataType)

Returns the input cast to the data type element-wise.

Declaration

public static FunctionalTensor Type(this FunctionalTensor input, DataType dataType)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
DataType	dataType	The data type.

Returns

Type	Description
FunctionalTensor	The output tensor.

Unsqueeze(FunctionalTensor, int)

Returns the input tensor with a new dimension of size 1 inserted.

Declaration

public static FunctionalTensor Unsqueeze(this FunctionalTensor input, int dim)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
int	dim	The dimension at which to insert a size 1 dimension in the output tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Where(FunctionalTensor, FunctionalTensor, FunctionalTensor)

Returns condition ? input : other element-wise.

Declaration

public static FunctionalTensor Where(FunctionalTensor condition, FunctionalTensor input, FunctionalTensor other)

Parameters

Type	Name	Description
FunctionalTensor	condition	The condition tensor.
FunctionalTensor	input	The first input tensor.
FunctionalTensor	other	The second input tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

Zeros(int[], DataType)

Returns a tensor filled with zeros with a shape and a data type.

Declaration

public static FunctionalTensor Zeros(int[] size, DataType dataType = DataType.Int)

Parameters

Type	Name	Description
int[]	size	The shape of the tensor.
DataType	dataType	The data type of the tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.

ZerosLike(FunctionalTensor, DataType)

Returns a tensor filled with zeros with the shape of input and a data type.

Declaration

public static FunctionalTensor ZerosLike(FunctionalTensor input, DataType dataType = DataType.Int)

Parameters

Type	Name	Description
FunctionalTensor	input	The input tensor.
DataType	dataType	The data type of the tensor.

Returns

Type	Description
FunctionalTensor	The output tensor.