Class TensorsInfo

Definition

Namespace:: Tizen.MachineLearning.Inference

Assembly:: Tizen.MachineLearning.Inference.dll

API Level:: 6

The TensorsInfo class manages each Tensor information such as Name, Type and Dimension.

public class TensorsInfo : IDisposable, IEquatable<TensorsInfo>

Inheritance: Object

TensorsInfo

Implements: IDisposable

IEquatable<TensorsInfo>

Constructors

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TensorsInfo()

Creates a TensorsInfo instance.

Declaration

public TensorsInfo()

Exceptions

Type	Condition
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

Properties

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Count

Get the number of Tensor information which is added.

Declaration

public int Count { get; }

Property Value

Type	Description
Int32

API Level: 6

Methods

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AddTensorInfo(String, TensorType, Int32[])

Add a Tensor information to the TensorsInfo instance. Note that we support up to 16 tensors in TensorsInfo.

Declaration

public void AddTensorInfo(string name, TensorType type, int[] dimension)

Parameters

Type	Name	Description
String	name	Name of Tensor.
TensorType	type	Data element type of Tensor.
Int32[]	dimension	Dimension of Tensor. Note that we support up to 4th ranks.

Exceptions

Type	Condition
IndexOutOfRangeException	Thrown when the number of Tensor already exceeds the size limits (i.e. Tensor.SizeLimit)
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

View Source

AddTensorInfo(TensorType, Int32[])

Add a Tensor information to the TensorsInfo instance. Note that we support up to 16 tensors in TensorsInfo.

Declaration

public void AddTensorInfo(TensorType type, int[] dimension)

Parameters

Type	Name	Description
TensorType	type	Data element type of Tensor.
Int32[]	dimension	Dimension of Tensor. Note that we support up to 4th ranks.

Exceptions

Type	Condition
IndexOutOfRangeException	Thrown when the number of Tensor already exceeds the size limits (i.e. Tensor.SizeLimit)
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

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Dispose()

Releases any unmanaged resources used by this object.

Declaration

public void Dispose()

API Level: 6

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Dispose(Boolean)

Releases any unmanaged resources used by this object. Can also dispose any other disposable objects.

Declaration

protected virtual void Dispose(bool disposing)

Parameters

Type	Name	Description
Boolean	disposing	If true, disposes any disposable objects. If false, does not dispose disposable objects.

View Source

Equals(Object)

Compare TensorsInfo, which is its contents are the same or not.

Declaration

public override bool Equals(object obj)

Parameters

Type	Name	Description
Object	obj	Object to compare

Returns

Type	Description
Boolean	True if the given object is the same object or its contents are the same

Overrides

Object.Equals(Object)

API Level: 8

View Source

Equals(TensorsInfo)

Compare TensorsInfo, which is its contents are the same or not.

Declaration

public bool Equals(TensorsInfo other)

Parameters

Type	Name	Description
TensorsInfo	other	TensorsInfo instance to compare

Returns

Type	Description
Boolean	True if the given object is the same object or its contents are the same

API Level: 8

View Source

Finalize()

Destroys the TensorsInfo resource.

Declaration

protected void Finalize()

API Level: 6

View Source

GetDimension(Int32)

Gets the tensor dimension with given index.

Declaration

public int[] GetDimension(int idx)

Parameters

Type	Name	Description
Int32	idx	The index of the tensor.

Returns

Type	Description
Int32[]	The tensor dimension.

Exceptions

Type	Condition
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

View Source

GetHashCode()

Gets the the hash code of this TensorsInfo object

Declaration

public override int GetHashCode()

Returns

Type	Description
Int32	The hash code

Overrides

Object.GetHashCode()

API Level: 8

View Source

GetTensorName(Int32)

Gets the tensor name with given index.

Declaration

public string GetTensorName(int idx)

Parameters

Type	Name	Description
Int32	idx	The index of the tensor.

Returns

Type	Description
String	The tensor name

Exceptions

Type	Condition
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

View Source

GetTensorsData()

Creates a TensorsData instance based on informations of TensorsInfo

Declaration

public TensorsData GetTensorsData()

Returns

Type	Description
TensorsData	TensorsData instance

Exceptions

Type	Condition
ArgumentException	Thrown when the method failed due to TensorsInfo's information is invalid.
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

View Source

GetTensorSize(Int32)

Calculates the byte size of tensor data.

Declaration

public int GetTensorSize(int idx)

Parameters

Type	Name	Description
Int32	idx	The index of the tensor information in the list

Returns

Type	Description
Int32	The byte size of tensor

Exceptions

Type	Condition
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.

API Level: 8

Feature: http://tizen.org/feature/machine_learning.inference

View Source

GetTensorType(Int32)

Gets the tensor type with given index.

Declaration

public TensorType GetTensorType(int idx)

Parameters

Type	Name	Description
Int32	idx	The index of the tensor.

Returns

Type	Description
TensorType	The tensor type

Exceptions

Type	Condition
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

View Source

SetDimension(Int32, Int32[])

Sets the tensor dimension with given index and dimension.

Declaration

public void SetDimension(int idx, int[] dimension)

Parameters

Type	Name	Description
Int32	idx	The index of the tensor to be updated.
Int32[]	dimension	The tensor dimension to be set.

Exceptions

Type	Condition
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

View Source

SetTensorName(Int32, String)

Sets the tensor name with given index.

Declaration

public void SetTensorName(int idx, string name)

Parameters

Type	Name	Description
Int32	idx	The index of the tensor to be updated.
String	name	The tensor name to be set.

Exceptions

Type	Condition
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.

API Level: 6

Feature: http://tizen.org/feature/machine_learning.inference

View Source

SetTensorType(Int32, TensorType)

Sets the tensor type with given index and its type.

Declaration

public void SetTensorType(int idx, TensorType type)

Parameters

Type	Name	Description
Int32	idx	The index of the tensor to be updated.
TensorType	type	The tensor type to be set.

Exceptions

Type	Condition
ArgumentException	Thrown when the method failed due to an invalid parameter.
NotSupportedException	Thrown when the feature is not supported.