Class Tensor

Various methods for creating and manipulating Tensor<T>

Inheritance

Object

Tensor

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: Microsoft.ML.OnnxRuntime.Tensors

Assembly: Microsoft.ML.OnnxRuntime.dll

Syntax

public static class Tensor

Methods

CreateFromDiagonal<T>(Tensor<T>)

Creates a n+1-rank tensor using the specified n-rank diagonal. Values not on the diagonal will be filled with zeros.

Declaration

public static Tensor<T> CreateFromDiagonal<T>(Tensor<T> diagonal)

Parameters

Type	Name	Description
Tensor<T>	diagonal	Tensor representing the diagonal to build the new tensor from.

Returns

Type	Description
Tensor<T>	A new tensor of the same layout and order as diagonal of one higher rank, with the values of diagonal along the diagonal and zeros elsewhere.

Type Parameters

Name	Description
T	type contained within the Tensor. Typically a value type such as int, double, float, etc.

CreateFromDiagonal<T>(Tensor<T>, Int32)

Creates a n+1-dimension tensor using the specified n-dimension diagonal at the specified offset from the center. Values not on the diagonal will be filled with zeros.

Declaration

public static Tensor<T> CreateFromDiagonal<T>(Tensor<T> diagonal, int offset)

Parameters

Type	Name	Description
Tensor<T>	diagonal	Tensor representing the diagonal to build the new tensor from.
Int32	offset	Offset of diagonal to set in returned tensor. 0 for the main diagonal, less than zero for diagonals below, greater than zero from diagonals above.

Returns

Type	Description
Tensor<T>	A new tensor of the same layout and order as diagonal of one higher rank, with the values of diagonal along the specified diagonal and zeros elsewhere.

Type Parameters

Name	Description
T	type contained within the Tensor. Typically a value type such as int, double, float, etc.

CreateIdentity<T>(Int32)

Creates an identity tensor of the specified size. An identity tensor is a two dimensional tensor with 1s in the diagonal.

Declaration

public static Tensor<T> CreateIdentity<T>(int size)

Parameters

Type	Name	Description
Int32	size	Width and height of the identity tensor to create.

Returns

Type	Description
Tensor<T>	a size by size with 1s along the diagonal and zeros elsewhere.

Type Parameters

Name	Description
T	type contained within the Tensor. Typically a value type such as int, double, float, etc.

CreateIdentity<T>(Int32, Boolean)

Creates an identity tensor of the specified size and layout (row vs column major). An identity tensor is a two dimensional tensor with 1s in the diagonal.

Declaration

public static Tensor<T> CreateIdentity<T>(int size, bool columMajor)

Parameters

Type	Name	Description
Int32	size	Width and height of the identity tensor to create.
Boolean	columMajor	False to indicate that the first dimension is most minor (closest) and the last dimension is most major (farthest): row-major. True to indicate that the last dimension is most minor (closest together) and the first dimension is most major (farthest apart): column-major.

Returns

Type	Description
Tensor<T>	a size by size with 1s along the diagonal and zeros elsewhere.

Type Parameters

Name	Description
T	type contained within the Tensor. Typically a value type such as int, double, float, etc.

CreateIdentity<T>(Int32, Boolean, T)

Creates an identity tensor of the specified size and layout (row vs column major) using the specified one value. An identity tensor is a two dimensional tensor with 1s in the diagonal. This may be used in case T is a type that doesn't have a known 1 value.

Declaration

public static Tensor<T> CreateIdentity<T>(int size, bool columMajor, T oneValue)

Parameters

Type	Name	Description
Int32	size	Width and height of the identity tensor to create.
Boolean	columMajor	False to indicate that the first dimension is most minor (closest) and the last dimension is most major (farthest): row-major. True to indicate that the last dimension is most minor (closest together) and the first dimension is most major (farthest apart): column-major.
T	oneValue	Value of T that is used along the diagonal.

Returns

Type	Description
Tensor<T>	a size by size with 1s along the diagonal and zeros elsewhere.

Type Parameters

Name	Description
T	type contained within the Tensor. Typically a value type such as int, double, float, etc.