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onnxruntime/csharp/ApiDocs/api/Microsoft.ML.OnnxRuntime.Tensors.Tensor.yml
Cassie Breviu e85dce8cea
Add csharp docfx (#12596) 
* add docfx and gh action to build docs

* kick off build from feature branch

* Fix LGTM linting

* update az pipeline to win22 & remove nuget install

* remove azure ci changes

* fix implicit using to support 5.0

* fix more js issues

* remove resource designer changes

* remove space

* fix linting misspellings in autogenerated js temp

* fix misspellings in generated code

* delete log file
2022-08-25 09:51:32 -05:00

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### YamlMime:ManagedReference
items:
- uid: Microsoft.ML.OnnxRuntime.Tensors.Tensor
commentId: T:Microsoft.ML.OnnxRuntime.Tensors.Tensor
id: Tensor
parent: Microsoft.ML.OnnxRuntime.Tensors
children:
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- Microsoft.ML.OnnxRuntime.Tensors.Tensor.CreateIdentity``1(System.Int32)
- Microsoft.ML.OnnxRuntime.Tensors.Tensor.CreateIdentity``1(System.Int32,System.Boolean)
- Microsoft.ML.OnnxRuntime.Tensors.Tensor.CreateIdentity``1(System.Int32,System.Boolean,``0)
langs:
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- vb
name: Tensor
nameWithType: Tensor
fullName: Microsoft.ML.OnnxRuntime.Tensors.Tensor
type: Class
source:
remote:
path: csharp/src/Microsoft.ML.OnnxRuntime/Tensors/Tensor.shared.cs
branch: csharp-docs
repo: https://github.com/cassiebreviu/onnxruntime.git
id: Tensor
path: ../src/Microsoft.ML.OnnxRuntime/Tensors/Tensor.shared.cs
startLine: 368
assemblies:
- Microsoft.ML.OnnxRuntime
namespace: Microsoft.ML.OnnxRuntime.Tensors
summary: "\nVarious methods for creating and manipulating Tensor<T>\n"
example: []
syntax:
content: public static class Tensor
content.vb: Public Module Tensor
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name: CreateIdentity<T>(Int32)
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path: ../src/Microsoft.ML.OnnxRuntime/Tensors/Tensor.shared.cs
startLine: 376
assemblies:
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namespace: Microsoft.ML.OnnxRuntime.Tensors
summary: "\nCreates an identity tensor of the specified size. An identity tensor is a two dimensional tensor with 1s in the diagonal.\n"
example: []
syntax:
content: public static Tensor<T> CreateIdentity<T>(int size)
parameters:
- id: size
type: System.Int32
description: Width and height of the identity tensor to create.
typeParameters:
- id: T
description: type contained within the Tensor. Typically a value type such as int, double, float, etc.
return:
type: Microsoft.ML.OnnxRuntime.Tensors.Tensor{{T}}
description: a <code data-dev-comment-type="paramref" class="paramref">size</code> by <code data-dev-comment-type="paramref" class="paramref">size</code> with 1s along the diagonal and zeros elsewhere.
content.vb: Public Shared Function CreateIdentity(Of T)(size As Integer) As Tensor(Of T)
overload: Microsoft.ML.OnnxRuntime.Tensors.Tensor.CreateIdentity*
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summary: "\nCreates an identity tensor of the specified size and layout (row vs column major). An identity tensor is a two dimensional tensor with 1s in the diagonal.\n"
example: []
syntax:
content: public static Tensor<T> CreateIdentity<T>(int size, bool columMajor)
parameters:
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type: System.Int32
description: Width and height of the identity tensor to create.
- id: columMajor
type: System.Boolean
description: '>False to indicate that the first dimension is most minor (closest) and the last dimension is most major (farthest): row-major. True to indicate that the last dimension is most minor (closest together) and the first dimension is most major (farthest apart): column-major.'
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content.vb: Public Shared Function CreateIdentity(Of T)(size As Integer, columMajor As Boolean) As Tensor(Of T)
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summary: "\nCreates an identity tensor of the specified size and layout (row vs column major) using the specified one value. An identity tensor is a two dimensional tensor with 1s in the diagonal. This may be used in case T is a type that doesn&apos;t have a known 1 value.\n"
example: []
syntax:
content: public static Tensor<T> CreateIdentity<T>(int size, bool columMajor, T oneValue)
parameters:
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type: System.Int32
description: Width and height of the identity tensor to create.
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type: System.Boolean
description: '>False to indicate that the first dimension is most minor (closest) and the last dimension is most major (farthest): row-major. True to indicate that the last dimension is most minor (closest together) and the first dimension is most major (farthest apart): column-major.'
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description: type contained within the Tensor. Typically a value type such as int, double, float, etc.
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content.vb: Public Shared Function CreateIdentity(Of T)(size As Integer, columMajor As Boolean, oneValue As T) As Tensor(Of T)
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name: CreateFromDiagonal<T>(Tensor<T>)
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summary: "\nCreates a n+1-rank tensor using the specified n-rank diagonal. Values not on the diagonal will be filled with zeros.\n"
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syntax:
content: public static Tensor<T> CreateFromDiagonal<T>(Tensor<T> diagonal)
parameters:
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type: Microsoft.ML.OnnxRuntime.Tensors.Tensor{{T}}
description: Tensor representing the diagonal to build the new tensor from.
typeParameters:
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description: type contained within the Tensor. Typically a value type such as int, double, float, etc.
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description: A new tensor of the same layout and order as <code data-dev-comment-type="paramref" class="paramref">diagonal</code> of one higher rank, with the values of <code data-dev-comment-type="paramref" class="paramref">diagonal</code> along the diagonal and zeros elsewhere.
content.vb: Public Shared Function CreateFromDiagonal(Of T)(diagonal As Tensor(Of T)) As Tensor(Of T)
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example: []
syntax:
content: public static Tensor<T> CreateFromDiagonal<T>(Tensor<T> diagonal, int offset)
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description: Tensor representing the diagonal to build the new tensor from.
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content.vb: Public Shared Function CreateFromDiagonal(Of T)(diagonal As Tensor(Of T), offset As Integer) As Tensor(Of T)
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parent: System
isExternal: true
name: Boolean
nameWithType: Boolean
fullName: System.Boolean
- uid: '{T}'
commentId: '!:T'
definition: T
name: T
nameWithType: T
fullName: T
- uid: T
name: T
nameWithType: T
fullName: T
- uid: Microsoft.ML.OnnxRuntime.Tensors.Tensor.CreateFromDiagonal*
commentId: Overload:Microsoft.ML.OnnxRuntime.Tensors.Tensor.CreateFromDiagonal
name: CreateFromDiagonal
nameWithType: Tensor.CreateFromDiagonal
fullName: Microsoft.ML.OnnxRuntime.Tensors.Tensor.CreateFromDiagonal
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