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.


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public class TensorsInfo : IDisposable, IEquatable<TensorsInfo>

Inheritance: System.Object

TensorsInfo

Implements: System.IDisposable

System.IEquatable<TensorsInfo>

Constructors

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TensorsInfo()

Creates a TensorsInfo instance.

Declaration


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public TensorsInfo()

Exceptions

Type	Condition
System.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


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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


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

Parameters

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

API Level: 6

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

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AddTensorInfo(TensorType, Int32[])

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

Declaration


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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
System.IndexOutOfRangeException	Thrown when the number of Tensor already exceeds the size limits (i.e. Tensor.SizeLimit)
System.ArgumentException	Thrown when the method failed due to an invalid parameter.
System.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


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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


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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.

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Equals(Object)

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

Declaration


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public override bool Equals(object obj)

Parameters

Type	Name	Description
System.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

System.Object.Equals(System.Object)

API Level: 8

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Equals(TensorsInfo)

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

Declaration


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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

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Finalize()

Destroys the TensorsInfo resource.

Declaration


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protected void Finalize()

API Level: 6

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GetDimension(Int32)

Gets the tensor dimension with given index.

Declaration


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

API Level: 6

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

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GetHashCode()

Gets the the hash code of this TensorsInfo object

Declaration


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public override int GetHashCode()

Returns

Type	Description
Int32	The hash code

Overrides

System.Object.GetHashCode()

API Level: 8

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GetTensorName(Int32)

Gets the tensor name with given index.

Declaration


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public string GetTensorName(int idx)

Parameters

Type	Name	Description
Int32	idx	The index of the tensor.

Returns

Type	Description
System.String	The tensor name

Exceptions

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

API Level: 6

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

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GetTensorsData()

Creates a TensorsData instance based on informations of TensorsInfo

Declaration


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public TensorsData GetTensorsData()

Returns

Type	Description
TensorsData	TensorsData instance

Exceptions

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

API Level: 6

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

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GetTensorSize(Int32)

Calculates the byte size of tensor data.

Declaration


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

API Level: 8

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

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GetTensorType(Int32)

Gets the tensor type with given index.

Declaration


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

API Level: 6

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

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SetDimension(Int32, Int32[])

Sets the tensor dimension with given index and dimension.

Declaration


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

API Level: 6

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

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SetTensorName(Int32, String)

Sets the tensor name with given index.

Declaration


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public void SetTensorName(int idx, string name)

Parameters

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

Exceptions

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

API Level: 6

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

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SetTensorType(Int32, TensorType)

Sets the tensor type with given index and its type.

Declaration


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