Class TensorInt

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

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

Constructors

TensorInt(Int32)

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

Declaration
public TensorInt(int srcData)
Parameters
Type Name Description
Int32 srcData

TensorInt(TensorShape, Int32[])

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

Declaration
public TensorInt(TensorShape shape, int[] srcData)
Parameters
Type Name Description
TensorShape shape
Int32[] srcData

TensorInt(TensorShape, Int32[], Int32)

Initializes and returns a tensor with specified shape and an int[] array of srcData data. Sentis reads srcData from dataStartIndex. You can provide an optional debug name.

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

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

isCacheNull

Declaration
protected override bool isCacheNull { get; }
Property Value
Type Description
Boolean
Overrides

Item[Int32]

Returns the tensor element at offset d0.

If the tensor is the result of computation on a different device, the method creates a blocking read.

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

Item[Int32, Int32]

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

If the tensor is the result of computation on a different device, the method creates a blocking read.

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

Item[Int32, Int32, Int32]

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

If the tensor is the result of computation on a different device, the method creates a blocking read.

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

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.

If the tensor is the result of computation on a different device, the method creates a blocking read.

Declaration
public int 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
Int32

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.

If the tensor is the result of computation on a different device, the method creates a blocking read.

Declaration
public int 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
Int32

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.

If the tensor is the result of computation on a different device, the method creates a blocking read.

Declaration
public int 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
Int32

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.

If the tensor is the result of computation on a different device, the method creates a blocking read.

Declaration
public int 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
Int32

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.

If the tensor is the result of computation on a different device, the method creates a blocking read.

Declaration
public int 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
Int32

Methods

ClearCache()

Declaration
protected override void ClearCache()
Overrides

DeepCopy()

Returns a deep copy of the current Tensor.

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

PrepareCacheForAccess(Boolean)

Read data from the device and write it to the cache.

The default value of blocking is true, which means this method is a blocking read.

When the value of blocking is false, the read is non-blocking. You can keep calling the method to get the status of the asynchronous download. You can access the tensor data when the method returns true.

Declaration
public override bool PrepareCacheForAccess(bool blocking = true)
Parameters
Type Name Description
Boolean blocking
Returns
Type Description
Boolean
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 the cached linear memory representation of this tensor data.

If the tensor is the result of computation on a different device, the method creates a blocking read.

If you modify the contents of the returned array, the behaviour is undefined.

Declaration
public int[] ToReadOnlyArray()
Returns
Type Description
Int32[]

UploadIfDirty()

Declaration
protected override void UploadIfDirty()
Overrides

Zeros(TensorShape)

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

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

Extension Methods