Class TensorFloat

Represents data in a multidimensional array-like structure of floats.

Inheritance
Object
Tensor
TensorFloat
Inherited Members
Namespace: Unity.Sentis
Syntax
public class TensorFloat : Tensor, IDisposable

Constructors

TensorFloat(Single)

Initializes and returns a scalar tensor with the value of srcData.

Declaration
public TensorFloat(float srcData)
Parameters
Type Name Description
Single srcData

TensorFloat(TensorShape, Single[])

Initializes and returns a tensor with the specified shape and a float[] array of srcData data.

Declaration
public TensorFloat(TensorShape shape, float[] srcData)
Parameters
Type Name Description
TensorShape shape
Single[] srcData

TensorFloat(TensorShape, Single[], Int32)

Initializes and returns a tensor with specified shape and a float[] array of srcData data. Sentis reads srcData from dataStartIndex.

srcData.Length - dataStartIndex must be bigger than or equal to shape.length.

Declaration
public TensorFloat(TensorShape shape, float[] srcData, int dataStartIndex = 0)
Parameters
Type Name Description
TensorShape shape
Single[] srcData
Int32 dataStartIndex

TensorFloat(TensorShape, NativeArray<Single>, Int32)

Declaration
public TensorFloat(TensorShape shape, NativeArray<float> srcData, int dataStartIndex = 0)
Parameters
Type Name Description
TensorShape shape
NativeArray<Single> srcData
Int32 dataStartIndex

Properties

dataType

The data type of the elements of the tensor.

Declaration
public override DataType dataType { get; }
Property Value
Type Description
DataType
Overrides

Item[Int32]

Returns the tensor element at offset d0.

Declaration
public float this[int d0] { get; set; }
Parameters
Type Name Description
Int32 d0
Property Value
Type Description
Single

Item[Int32, Int32]

Returns the tensor element at offset (d1, d0), which is position d1 * stride0 + d0.

Declaration
public float this[int d1, int d0] { get; set; }
Parameters
Type Name Description
Int32 d1
Int32 d0
Property Value
Type Description
Single

Item[Int32, Int32, Int32]

Returns the tensor element at offset (d2, d1, d0), which is position d2 * stride1 + d1 * stride0 + d0.

Declaration
public float this[int d2, int d1, int d0] { get; set; }
Parameters
Type Name Description
Int32 d2
Int32 d1
Int32 d0
Property Value
Type Description
Single

Item[Int32, Int32, Int32, Int32]

Returns the tensor element at offset (d3, d2, d1, d0), which is position d3 * stride2 + d2 * stride1 + d1 * stride0 + d0 in this tensor.

Declaration
public float this[int d3, int d2, int d1, int d0] { get; set; }
Parameters
Type Name Description
Int32 d3
Int32 d2
Int32 d1
Int32 d0
Property Value
Type Description
Single

Item[Int32, Int32, Int32, Int32, Int32]

Returns the tensor element at offset (d4, d3, d2, d1, d0), which is position d4 * stride3 + d3 * stride2 + d2 * stride1 + d1 * stride0 + d0.

Declaration
public float this[int d4, int d3, int d2, int d1, int d0] { get; set; }
Parameters
Type Name Description
Int32 d4
Int32 d3
Int32 d2
Int32 d1
Int32 d0
Property Value
Type Description
Single

Item[Int32, Int32, Int32, Int32, Int32, Int32]

Returns the tensor element at offset (d5, d4, d3, d2, d1, d0), which is position d5 * stride4 + d4 * stride3 + d3 * stride2 + d2 * stride1 + d1 * stride0 + d0.

Declaration
public float this[int d5, int d4, int d3, int d2, int d1, int d0] { get; set; }
Parameters
Type Name Description
Int32 d5
Int32 d4
Int32 d3
Int32 d2
Int32 d1
Int32 d0
Property Value
Type Description
Single

Item[Int32, Int32, Int32, Int32, Int32, Int32, Int32]

Returns the tensor element at offset (d6, d5, d4, d3, d2, d1, d0), which is position d6 * stride5 + d5 * stride4 + d4 * stride3 + d3 * stride2 + d2 * stride1 + d1 * stride0 + d0.

Declaration
public float this[int d6, int d5, int d4, int d3, int d2, int d1, int d0] { get; set; }
Parameters
Type Name Description
Int32 d6
Int32 d5
Int32 d4
Int32 d3
Int32 d2
Int32 d1
Int32 d0
Property Value
Type Description
Single

Item[Int32, Int32, Int32, Int32, Int32, Int32, Int32, Int32]

Returns the tensor element at offset (d7, d6, d5, d4, d3, d2, d1, d0), which is position d7 * stride6 + d6 * stride5 + d5 * stride4 + d4 * stride3 + d3 * stride2 + d2 * stride1 + d1 * stride0 + d0.

Declaration
public float this[int d7, int d6, int d5, int d4, int d3, int d2, int d1, int d0] { get; set; }
Parameters
Type Name Description
Int32 d7
Int32 d6
Int32 d5
Int32 d4
Int32 d3
Int32 d2
Int32 d1
Int32 d0
Property Value
Type Description
Single

Methods

DeepCopy()

Returns a deep copy of the current Tensor.

Declaration
public override Tensor DeepCopy()
Returns
Type Description
Tensor
Overrides

ShallowReshape(TensorShape)

Returns a shallow copy of the Tensor with a new shape. The copy shares data storage with the original tensor.

newShape.length must be equal to this.shape.length.

Declaration
public override Tensor ShallowReshape(TensorShape newShape)
Parameters
Type Name Description
TensorShape newShape
Returns
Type Description
Tensor
Overrides

ToReadOnlyArray()

Returns a copy of linear memory representation of the data in this tensor.

the returned array is a deepcopy of the tensor, the caller of this methods is now responsible for it. If you modify the contents of the returned array, it will not modify the underlying tensor

Declaration
public float[] ToReadOnlyArray()
Returns
Type Description
Single[]

ToReadOnlySpan()

Returns a ReadOnlySpan on the linear memory representation of the data in this tensor.

Declaration
public ReadOnlySpan<float> ToReadOnlySpan()
Returns
Type Description
ReadOnlySpan<Single>

UploadToDevice(ITensorData)

Declaration
public override void UploadToDevice(ITensorData destination)
Parameters
Type Name Description
ITensorData destination
Overrides

Zeros(TensorShape)

Initializes and returns a tensor with the specified shape and filled with 0.

Declaration
public static TensorFloat Zeros(TensorShape shape)
Parameters
Type Name Description
TensorShape shape
Returns
Type Description
TensorFloat

Extension Methods