Class TensorInt

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

Inheritance

object

Tensor

TensorInt

Implements

IDisposable

Inherited Members

Tensor.shape

Tensor.tensorOnDevice

Tensor.allocator

Tensor.AttachToDevice(ITensorData)

Tensor.DetachFromDevice(bool)

Tensor.MakeReadable()

Tensor.MakeReadableAsync()

Tensor.IsReadbackRequestDone()

Tensor.ReadbackRequest(Action<bool>)

Tensor.ReadbackRequestAsync()

Tensor.CompleteAllPendingOperations()

Tensor.ShallowCopy()

Tensor.TakeOwnership()

Tensor.Dispose()

Tensor.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Namespace: Unity.Sentis

Assembly: solution.dll

Syntax

public class TensorInt : Tensor, IDisposable

Constructors

Name	Description
TensorInt(int)	Initializes and returns a scalar tensor with the value of srcData.
TensorInt(TensorShape, int[])	Initializes and returns a tensor with the specified shape and an int[] array of srcData data.
TensorInt(TensorShape, int[], int)	Initializes and returns a tensor with specified shape and an int[] array of srcData data. Sentis reads srcData from dataStartIndex. srcData.Length - dataStartIndex must be bigger than or equal to shape.length.
TensorInt(TensorShape, NativeArray<int>, int)	Initializes and returns a tensor with specified shape and a native int array of srcData data. Sentis reads srcData from dataStartIndex. srcData.Length - dataStartIndex must be bigger than or equal to shape.length.

Properties

Name	Description
this[int]	Returns the tensor element at offset d0.
this[int, int]	Returns the tensor element at offset (d1, d0), which is position d1 * stride0 + d0.
this[int, int, int]	Returns the tensor element at offset (d2, d1, d0), which is position d2 * stride1 + d1 * stride0 + d0.
this[int, int, int, int]	Returns the tensor element at offset (d3, d2, d1, d0), which is position d3 * stride2 + d2 * stride1 + d1 * stride0 + d0 in this tensor.
this[int, int, int, int, int]	Returns the tensor element at offset (d4, d3, d2, d1, d0), which is position d4 * stride3 + d3 * stride2 + d2 * stride1 + d1 * stride0 + d0.
this[int, int, int, int, int, int]	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.
this[int, int, int, int, int, int, int]	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.
this[int, int, int, int, int, int, int, int]	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.
dataType	The data type of the elements of the tensor.

Methods

Name	Description
DeepCopy()	Returns a deep copy of the current Tensor.
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.
ToReadOnlyArray()	Returns a copy of linear memory representation of the data in this tensor. If the tensor is the result of computation on a different backend, the method creates a blocking read. 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
ToReadOnlySpan()	Returns a ReadOnlySpan on the linear memory representation of the data in this tensor.
UploadToDevice(ITensorData)	Uploads the tensor data to the destination data location on device.
Zeros(TensorShape)	Initializes and returns a tensor with the specified shape and filled with 0.

Extension Methods

TensorExtensions.PrintDataPart(Tensor, int, string)