diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html new file mode 100644 index 0000000000000..a00947f68e085 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html @@ -0,0 +1,151 @@ + + + + + + + + Enum CoreMLFlags + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum CoreMLFlags +

+

CoreML flags for use with SessionOptions

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum CoreMLFlags : uint
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
COREML_FLAG_ENABLE_ON_SUBGRAPH
COREML_FLAG_LAST
COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE
COREML_FLAG_USE_CPU_ONLY
COREML_FLAG_USE_NONE
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.DisposableNamedOnnxValue.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.DisposableNamedOnnxValue.html new file mode 100644 index 0000000000000..a4726feb788c0 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.DisposableNamedOnnxValue.html @@ -0,0 +1,283 @@ + + + + + + + + Class DisposableNamedOnnxValue + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class DisposableNamedOnnxValue +

+

This class serves as a container for model run output values including +tensors, sequences of tensors, sequences and maps. +It extends NamedOnnxValue, exposes the OnnxValueType and Tensor type +The class must be disposed of. +It disposes of _ortValueHolder that owns the underlying Ort output value and +anything else that would need to be disposed by the instance of the class. +Use factory method CreateFromOrtValue to obtain an instance of the class.

+
+
+
+
Inheritance
+
System.Object
+
NamedOnnxValue
+
DisposableNamedOnnxValue
+
+
+
Implements
+
IDisposable
+
+
+
Inherited Members
+ + + + + + + + +
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class DisposableNamedOnnxValue : NamedOnnxValue
+
+

Properties +

+ + + +

ElementType

+

Only valid if ValueType is Tensor

+
+
+
Declaration
+
+ 
public TensorElementType ElementType { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
TensorElementType
+ + + +

ValueType

+

Returns OnnxValueType

+
+
+
Declaration
+
+ 
public OnnxValueType ValueType { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OnnxValueType
+

Methods +

+ + + +

Dispose()

+

IDisposable implementation

+
+
+
Declaration
+
+ 
public void Dispose()
+
+ + + +

Dispose(Boolean)

+

IDisposable implementation

+
+
+
Declaration
+
+ 
protected virtual void Dispose(bool disposing)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Booleandisposing

true if invoked by Dispose()

+
+

Implements

+
+ IDisposable +
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ExecutionMode.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ExecutionMode.html new file mode 100644 index 0000000000000..df3e8637d49fe --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ExecutionMode.html @@ -0,0 +1,142 @@ + + + + + + + + Enum ExecutionMode + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum ExecutionMode +

+

Controls whether you want to execute operators in the graph sequentially or in parallel. +Usually when the model has many branches, setting this option to ExecutionMode.ORT_PARALLEL +will give you better performance. +See [ONNX_Runtime_Perf_Tuning.md] for more details.

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum ExecutionMode
+
+

Fields +

+ + + + + + + + + + + + + + + + + +
NameDescription
ORT_PARALLEL
ORT_SEQUENTIAL
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.FixedBufferOnnxValue.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.FixedBufferOnnxValue.html new file mode 100644 index 0000000000000..44c9ba2097b22 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.FixedBufferOnnxValue.html @@ -0,0 +1,302 @@ + + + + + + + + Class FixedBufferOnnxValue + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class FixedBufferOnnxValue +

+

Represents an OrtValue with its underlying buffer pinned

+
+
+
+
Inheritance
+
System.Object
+
FixedBufferOnnxValue
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class FixedBufferOnnxValue : IDisposable
+
+

Methods +

+ + + +

CreateFromMemory<T>(OrtMemoryInfo, Memory<T>, TensorElementType, Int64[], Int64)

+
+
+
Declaration
+
+ 
public static FixedBufferOnnxValue CreateFromMemory<T>(OrtMemoryInfo memoryInfo, Memory<T> memory, TensorElementType elementType, long[] shape, long bytesSize)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
OrtMemoryInfomemoryInfo
Memory<T>memory
TensorElementTypeelementType
System.Int64[]shape
System.Int64bytesSize
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
FixedBufferOnnxValue
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T
+ + + +

CreateFromTensor<T>(Tensor<T>)

+

Creates a FixedBufferOnnxValue object from the tensor and pins its underlying buffer.

+
+
+
Declaration
+
+ 
public static FixedBufferOnnxValue CreateFromTensor<T>(Tensor<T> value)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Tensor<T>value
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
FixedBufferOnnxValue

a disposable instance of FixedBufferOnnxValue

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T
+ + + +

Dispose()

+

IDisposable implementation

+
+
+
Declaration
+
+ 
public void Dispose()
+
+ + + +

Dispose(Boolean)

+

IDisposable implementation

+
+
+
Declaration
+
+ 
protected virtual void Dispose(bool disposing)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Booleandisposing

true if invoked from Dispose()

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.GraphOptimizationLevel.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.GraphOptimizationLevel.html new file mode 100644 index 0000000000000..8affd7e2ba0b7 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.GraphOptimizationLevel.html @@ -0,0 +1,148 @@ + + + + + + + + Enum GraphOptimizationLevel + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum GraphOptimizationLevel +

+

Graph optimization level to use with SessionOptions +[https://github.com/microsoft/onnxruntime/blob/main/docs/ONNX_Runtime_Graph_Optimizations.md]

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum GraphOptimizationLevel
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
ORT_DISABLE_ALL
ORT_ENABLE_ALL
ORT_ENABLE_BASIC
ORT_ENABLE_EXTENDED
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.IDisposableReadOnlyCollection-1.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.IDisposableReadOnlyCollection-1.html new file mode 100644 index 0000000000000..de756cced7f2f --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.IDisposableReadOnlyCollection-1.html @@ -0,0 +1,133 @@ + + + + + + + + Interface IDisposableReadOnlyCollection<T> + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Interface IDisposableReadOnlyCollection<T> +

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public interface IDisposableReadOnlyCollection<T>
+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.InferenceSession.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.InferenceSession.html new file mode 100644 index 0000000000000..66acdf0047d9c --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.InferenceSession.html @@ -0,0 +1,1446 @@ + + + + + + + + Class InferenceSession + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class InferenceSession +

+

Represents an Inference Session on an ONNX Model. +This is a IDisposable class and it must be disposed of +using either a explicit call to Dispose() method or +a pattern of using() block. If this is a member of another +class that class must also become IDisposable and it must +dispose of InferfenceSession in its Dispose() method.

+
+
+
+
Inheritance
+
System.Object
+
InferenceSession
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class InferenceSession : IDisposable
+
+

Constructors +

+ + + +

InferenceSession(Byte[])

+

Constructs an InferenceSession from a model data in byte array

+
+
+
Declaration
+
+ 
public InferenceSession(byte[] model)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Byte[]model
+ + + +

InferenceSession(Byte[], PrePackedWeightsContainer)

+

Constructs an InferenceSession from a model data (in byte array) and it will use +the provided pre-packed weights container to store and share pre-packed buffers +of shared initializers across sessions if any.

+
+
+
Declaration
+
+ 
public InferenceSession(byte[] model, PrePackedWeightsContainer prepackedWeightsContainer)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Byte[]model

Model as byte array

+
PrePackedWeightsContainerprepackedWeightsContainer

Instance of PrepackedWeightsContainer. +Lifetime of 'prepackedWeightsContainer' must be +managed by the user and it must outlive any sessions reliant on it

+
+ + + +

InferenceSession(Byte[], SessionOptions)

+

Constructs an InferenceSession from a model data in byte array, with some additional session options

+
+
+
Declaration
+
+ 
public InferenceSession(byte[] model, SessionOptions options)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Byte[]model
SessionOptionsoptions
+ + + +

InferenceSession(Byte[], SessionOptions, PrePackedWeightsContainer)

+

Constructs an InferenceSession from a model data (in byte array) with some additional +session options and it will use the provided pre-packed weights container to store +and share pre-packed buffers of shared initializers across sessions if any.

+
+
+
Declaration
+
+ 
public InferenceSession(byte[] model, SessionOptions options, PrePackedWeightsContainer prepackedWeightsContainer)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Byte[]model

Model as byte array

+
SessionOptionsoptions

Session Options

+
PrePackedWeightsContainerprepackedWeightsContainer

Instance of PrepackedWeightsContainer. +Lifetime of 'prepackedWeightsContainer' must be +managed by the user and it must outlive any sessions reliant on it

+
+ + + +

InferenceSession(String)

+

Constructs an InferenceSession from a model file

+
+
+
Declaration
+
+ 
public InferenceSession(string modelPath)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.StringmodelPath
+ + + +

InferenceSession(String, PrePackedWeightsContainer)

+

Constructs an InferenceSession from a model file and it will use +the provided pre-packed weights container to store and share pre-packed buffers +of shared initializers across sessions if any.

+
+
+
Declaration
+
+ 
public InferenceSession(string modelPath, PrePackedWeightsContainer prepackedWeightsContainer)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringmodelPath

Model path

+
PrePackedWeightsContainerprepackedWeightsContainer

Instance of PrepackedWeightsContainer. +Lifetime of 'prepackedWeightsContainer' must be +managed by the user and it must outlive any sessions reliant on it

+
+ + + +

InferenceSession(String, SessionOptions)

+

Constructs an InferenceSession from a model file, with some additional session options

+
+
+
Declaration
+
+ 
public InferenceSession(string modelPath, SessionOptions options)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringmodelPath
SessionOptionsoptions
+ + + +

InferenceSession(String, SessionOptions, PrePackedWeightsContainer)

+

Constructs an InferenceSession from a model file, with some additional session options +and it will use the provided pre-packed weights container to store and share pre-packed buffers +of shared initializers across sessions if any.

+
+
+
Declaration
+
+ 
public InferenceSession(string modelPath, SessionOptions options, PrePackedWeightsContainer prepackedWeightsContainer)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringmodelPath

Model path

+
SessionOptionsoptions

Session options

+
PrePackedWeightsContainerprepackedWeightsContainer

Instance of PrepackedWeightsContainer. +Lifetime of 'prepackedWeightsContainer' must be +managed by the user and it must outlive any sessions reliant on it

+
+

Properties +

+ + + +

InputMetadata

+

Meta data regarding the input nodes, keyed by input names

+
+
+
Declaration
+
+ 
public IReadOnlyDictionary<string, NodeMetadata> InputMetadata { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
IReadOnlyDictionary<System.String, NodeMetadata>
+ + + +

ModelMetadata

+

This property queries model metadata, constructs +an instance of ModelMetadata and caches it

+
+
+
Declaration
+
+ 
public ModelMetadata ModelMetadata { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
ModelMetadata

Instance of ModelMetdata

+
+ + + +

OutputMetadata

+

Metadata regarding the output nodes, keyed by output names

+
+
+
Declaration
+
+ 
public IReadOnlyDictionary<string, NodeMetadata> OutputMetadata { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
IReadOnlyDictionary<System.String, NodeMetadata>
+ + + +

OverridableInitializerMetadata

+

Metadata regarding the overridable initializers, keyed by node names

+
+
+
Declaration
+
+ 
public IReadOnlyDictionary<string, NodeMetadata> OverridableInitializerMetadata { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
IReadOnlyDictionary<System.String, NodeMetadata>
+ + + +

ProfilingStartTimeNs

+

Return the nanoseconds of profiling's start time +On some platforms, this timer may not be as precise as nanoseconds +For instance, on Windows and MacOS, the precision will be ~100ns

+
+
+
Declaration
+
+ 
public ulong ProfilingStartTimeNs { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.UInt64
+

Methods +

+ + + +

CreateIoBinding()

+

Create OrtIoBinding instance to bind pre-allocated buffers +to input/output

+
+
+
Declaration
+
+ 
public OrtIoBinding CreateIoBinding()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
OrtIoBinding

A new instance of OrtIoBinding

+
+ + + +

Dispose()

+

IDisposable implementation

+
+
+
Declaration
+
+ 
public void Dispose()
+
+ + + +

Dispose(Boolean)

+

IDisposable implementation

+
+
+
Declaration
+
+ 
protected virtual void Dispose(bool disposing)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Booleandisposing

true if invoked from Dispose() method

+
+ + + +

EndProfiling()

+

Ends profiling for the session.

+
+
+
Declaration
+
+ 
public string EndProfiling()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.String

Returns the profile file name.

+
+ + + +

Finalize()

+

Finalizer. to cleanup session in case it runs +and the user forgets to Dispose() of the session

+
+
+
Declaration
+
+ 
protected void Finalize()
+
+ + + +

Run(IReadOnlyCollection<NamedOnnxValue>)

+

Runs the loaded model for the given inputs, and fetches all the outputs.

+
+
+
Declaration
+
+ 
public IDisposableReadOnlyCollection<DisposableNamedOnnxValue> Run(IReadOnlyCollection<NamedOnnxValue> inputs)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<NamedOnnxValue>inputs

specify a collection of NamedOnnxValue that indicates the input values.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDisposableReadOnlyCollection<DisposableNamedOnnxValue>

Output Tensors in a Collection of NamedOnnxValue. User must dispose the output.

+
+ + + +

Run(IReadOnlyCollection<NamedOnnxValue>, IReadOnlyCollection<NamedOnnxValue>)

+

Runs the loaded model for the given inputs and outputs.

+

Outputs need to be created with correct type and dimension to receive the fetched data.

+
+
+
Declaration
+
+ 
public void Run(IReadOnlyCollection<NamedOnnxValue> inputs, IReadOnlyCollection<NamedOnnxValue> outputs)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<NamedOnnxValue>inputs

Specify a collection of NamedOnnxValue that indicates the input values.

+
IReadOnlyCollection<NamedOnnxValue>outputs

Specify a collection of NamedOnnxValue that indicates the output values.

+
+ + + +

Run(IReadOnlyCollection<NamedOnnxValue>, IReadOnlyCollection<NamedOnnxValue>, RunOptions)

+

Runs the loaded model for the given inputs and outputs. Uses the given RunOptions for this run.

+

Outputs need to be created with correct type and dimension to receive the fetched data.

+
+
+
Declaration
+
+ 
public void Run(IReadOnlyCollection<NamedOnnxValue> inputs, IReadOnlyCollection<NamedOnnxValue> outputs, RunOptions options)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<NamedOnnxValue>inputs

Specify a collection of NamedOnnxValue that indicates the input values.

+
IReadOnlyCollection<NamedOnnxValue>outputs

Specify a collection of NamedOnnxValue that indicates the output values.

+
RunOptionsoptions
+ + + +

Run(IReadOnlyCollection<NamedOnnxValue>, IReadOnlyCollection<String>)

+

Runs the loaded model for the given inputs, and fetches the outputs specified in outputNames.

+
+
+
Declaration
+
+ 
public IDisposableReadOnlyCollection<DisposableNamedOnnxValue> Run(IReadOnlyCollection<NamedOnnxValue> inputs, IReadOnlyCollection<string> outputNames)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<NamedOnnxValue>inputs

Specify a collection of NamedOnnxValue that indicates the input values.

+
IReadOnlyCollection<System.String>outputNames

Specify a collection of string that indicates the output names to fetch.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDisposableReadOnlyCollection<DisposableNamedOnnxValue>

Output Tensors in a Collection of NamedOnnxValue. User must dispose the output.

+
+ + + +

Run(IReadOnlyCollection<NamedOnnxValue>, IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>)

+

Runs the loaded model for the given inputs and outputs.

+

Outputs need to be created with correct type and dimension to receive the fetched data.

+
+
+
Declaration
+
+ 
public void Run(IReadOnlyCollection<NamedOnnxValue> inputs, IReadOnlyCollection<string> outputNames, IReadOnlyCollection<FixedBufferOnnxValue> outputValues)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<NamedOnnxValue>inputs

Specify a collection of NamedOnnxValue that indicates the input values.

+
IReadOnlyCollection<System.String>outputNames

Specify a collection of string that indicates the output names. Should match outputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>outputValues

Specify a collection of FixedBufferOnnxValue that indicates the output values.

+
+ + + +

Run(IReadOnlyCollection<NamedOnnxValue>, IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>, RunOptions)

+

Runs the loaded model for the given inputs and outputs. Uses the given RunOptions for this run.

+

Outputs need to be created with correct type and dimension to receive the fetched data.

+
+
+
Declaration
+
+ 
public void Run(IReadOnlyCollection<NamedOnnxValue> inputs, IReadOnlyCollection<string> outputNames, IReadOnlyCollection<FixedBufferOnnxValue> outputValues, RunOptions options)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<NamedOnnxValue>inputs

Specify a collection of NamedOnnxValue that indicates the input values.

+
IReadOnlyCollection<System.String>outputNames

Specify a collection of string that indicates the output names. Should match outputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>outputValues

Specify a collection of FixedBufferOnnxValue that indicates the output values.

+
RunOptionsoptions
+ + + +

Run(IReadOnlyCollection<NamedOnnxValue>, IReadOnlyCollection<String>, RunOptions)

+

Runs the loaded model for the given inputs, and fetches the specified outputs in outputNames. Uses the given RunOptions for this run.

+
+
+
Declaration
+
+ 
public IDisposableReadOnlyCollection<DisposableNamedOnnxValue> Run(IReadOnlyCollection<NamedOnnxValue> inputs, IReadOnlyCollection<string> outputNames, RunOptions options)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<NamedOnnxValue>inputs

Specify a collection of NamedOnnxValue that indicates the input values.

+
IReadOnlyCollection<System.String>outputNames

Specify a collection of string that indicates the output names to fetch.

+
RunOptionsoptions
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDisposableReadOnlyCollection<DisposableNamedOnnxValue>

Output Tensors in a Collection of NamedOnnxValue. User must dispose the output.

+
+ + + +

Run(IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>)

+

Runs the loaded model for the given inputs, and fetches all the outputs.

+
+
+
Declaration
+
+ 
public IDisposableReadOnlyCollection<DisposableNamedOnnxValue> Run(IReadOnlyCollection<string> inputNames, IReadOnlyCollection<FixedBufferOnnxValue> inputValues)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<System.String>inputNames

Specify a collection of string that indicates the input names. Should match inputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>inputValues

Specify a collection of FixedBufferOnnxValue that indicates the input values.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDisposableReadOnlyCollection<DisposableNamedOnnxValue>

Output Tensors in a Collection of NamedOnnxValue. User must dispose the output.

+
+ + + +

Run(IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>, IReadOnlyCollection<NamedOnnxValue>)

+

Runs the loaded model for the given inputs and outputs.

+

Outputs need to be created with correct type and dimension to receive the fetched data.

+
+
+
Declaration
+
+ 
public void Run(IReadOnlyCollection<string> inputNames, IReadOnlyCollection<FixedBufferOnnxValue> inputValues, IReadOnlyCollection<NamedOnnxValue> outputs)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<System.String>inputNames

Specify a collection of string that indicates the input names. Should match inputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>inputValues

Specify a collection of FixedBufferOnnxValue that indicates the input values.

+
IReadOnlyCollection<NamedOnnxValue>outputs

Specify a collection of NamedOnnxValue that indicates the output values.

+
+ + + +

Run(IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>, IReadOnlyCollection<NamedOnnxValue>, RunOptions)

+

Runs the loaded model for the given inputs and outputs. Uses the given RunOptions for this run.

+

Outputs need to be created with correct type and dimension to receive the fetched data.

+
+
+
Declaration
+
+ 
public void Run(IReadOnlyCollection<string> inputNames, IReadOnlyCollection<FixedBufferOnnxValue> inputValues, IReadOnlyCollection<NamedOnnxValue> outputs, RunOptions options)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<System.String>inputNames

Specify a collection of string that indicates the input names. Should match inputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>inputValues

Specify a collection of FixedBufferOnnxValue that indicates the input values.

+
IReadOnlyCollection<NamedOnnxValue>outputs

Specify a collection of NamedOnnxValue that indicates the output values.

+
RunOptionsoptions
+ + + +

Run(IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>, IReadOnlyCollection<String>)

+

Runs the loaded model for the given inputs, and fetches the outputs specified in outputNames.

+
+
+
Declaration
+
+ 
public IDisposableReadOnlyCollection<DisposableNamedOnnxValue> Run(IReadOnlyCollection<string> inputNames, IReadOnlyCollection<FixedBufferOnnxValue> inputValues, IReadOnlyCollection<string> outputNames)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<System.String>inputNames

Specify a collection of string that indicates the input names. Should match inputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>inputValues

Specify a collection of FixedBufferOnnxValue that indicates the input values.

+
IReadOnlyCollection<System.String>outputNames

Specify a collection of string that indicates the output names to fetch.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDisposableReadOnlyCollection<DisposableNamedOnnxValue>

Output Tensors in a Collection of NamedOnnxValue. User must dispose the output.

+
+ + + +

Run(IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>, IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>)

+

Runs the loaded model for the given inputs and outputs.

+

Outputs need to be created with correct type and dimension to accept the fetched data.

+
+
+
Declaration
+
+ 
public void Run(IReadOnlyCollection<string> inputNames, IReadOnlyCollection<FixedBufferOnnxValue> inputValues, IReadOnlyCollection<string> outputNames, IReadOnlyCollection<FixedBufferOnnxValue> outputValues)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<System.String>inputNames

Specify a collection of string that indicates the input names. Should match inputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>inputValues

Specify a collection of FixedBufferOnnxValue that indicates the input values.

+
IReadOnlyCollection<System.String>outputNames

Specify a collection of string that indicates the output names. Should match outputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>outputValues

Specify a collection of FixedBufferOnnxValue that indicates the output values.

+
+ + + +

Run(IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>, IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>, RunOptions)

+

Runs the loaded model for the given inputs and outputs. Uses the given RunOptions for this run.

+

Outputs need to be created with correct type and dimension to accept the fetched data.

+
+
+
Declaration
+
+ 
public void Run(IReadOnlyCollection<string> inputNames, IReadOnlyCollection<FixedBufferOnnxValue> inputValues, IReadOnlyCollection<string> outputNames, IReadOnlyCollection<FixedBufferOnnxValue> outputValues, RunOptions options)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<System.String>inputNames

Specify a collection of string that indicates the input names. Should match inputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>inputValues

Specify a collection of FixedBufferOnnxValue that indicates the input values.

+
IReadOnlyCollection<System.String>outputNames

Specify a collection of string that indicates the output names. Should match outputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>outputValues

Specify a collection of FixedBufferOnnxValue that indicates the output values.

+
RunOptionsoptions
+ + + +

Run(IReadOnlyCollection<String>, IReadOnlyCollection<FixedBufferOnnxValue>, IReadOnlyCollection<String>, RunOptions)

+

Runs the loaded model for the given inputs, and fetches the specified outputs in outputNames. Uses the given RunOptions for this run.

+
+
+
Declaration
+
+ 
public IDisposableReadOnlyCollection<DisposableNamedOnnxValue> Run(IReadOnlyCollection<string> inputNames, IReadOnlyCollection<FixedBufferOnnxValue> inputValues, IReadOnlyCollection<string> outputNames, RunOptions options)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
IReadOnlyCollection<System.String>inputNames

Specify a collection of string that indicates the input names. Should match inputValues.

+
IReadOnlyCollection<FixedBufferOnnxValue>inputValues

Specify a collection of FixedBufferOnnxValue that indicates the input values.

+
IReadOnlyCollection<System.String>outputNames

Specify a collection of string that indicates the output names to fetch.

+
RunOptionsoptions
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDisposableReadOnlyCollection<DisposableNamedOnnxValue>

Output Tensors in a Collection of NamedOnnxValue. User must dispose the output.

+
+ + + +

RunWithBinding(RunOptions, OrtIoBinding)

+

This method runs inference on the OrtIoBinding instance +The method does not return anything. This is a lightweight version of +RunWithBindingAndNames(). When you bind pre-allocated buffers to the output values +you may not want to fetch the outputs since you already have access to them so you can spare +the expense of fetching them and pairing with names. +You can still fetch the outputs by calling OrtIOBinding.GetOutputValues()

+
+
+
Declaration
+
+ 
public void RunWithBinding(RunOptions runOptions, OrtIoBinding ioBinding)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
RunOptionsrunOptions

runOptions

+
OrtIoBindingioBinding

ioBinding instance to use

+
+ + + +

RunWithBindingAndNames(RunOptions, OrtIoBinding, String[])

+

This method return a collection of DisposableNamedOnnxValue as in other interfaces +Query names from OrtIoBinding object and pair then with the array of OrtValues returned +from OrtIoBinding.GetOutputValues()

+
+
+
Declaration
+
+ 
public IDisposableReadOnlyCollection<DisposableNamedOnnxValue> RunWithBindingAndNames(RunOptions runOptions, OrtIoBinding ioBinding, string[] names = null)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
RunOptionsrunOptions

RunOptions

+
OrtIoBindingioBinding

OrtIoBinding instance with bindings

+
System.String[]names

optional parameter. If you already know the names of the outputs you can save a native +call to retrieve output names. They will be paired with the returned OrtValues and combined into DisposbleNamedOnnxValues. +Otherwise, the method will retrieve output names from the OrtIoBinding instance. +It is an error if you supply a different number of names than the returned outputs

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDisposableReadOnlyCollection<DisposableNamedOnnxValue>

A disposable collection of DisposableNamedOnnxValue that encapsulate output OrtValues

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.LogLevel.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.LogLevel.html new file mode 100644 index 0000000000000..2e4f47a39884f --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.LogLevel.html @@ -0,0 +1,154 @@ + + + + + + + + Enum LogLevel + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum LogLevel +

+

Logging level used to specify amount of logging when +creating environment. The lower the value is the more logging +will be output. A specific value output includes everything +that higher values output.

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum LogLevel
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
Error
Fatal
Info
Verbose
Warning
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ModelMetadata.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ModelMetadata.html new file mode 100644 index 0000000000000..a92b6c062a466 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ModelMetadata.html @@ -0,0 +1,338 @@ + + + + + + + + Class ModelMetadata + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class ModelMetadata +

+

A class that queries and caches model metadata and exposes +it as properties

+
+
+
+
Inheritance
+
System.Object
+
ModelMetadata
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class ModelMetadata
+
+

Properties +

+ + + +

CustomMetadataMap

+
+
+
Declaration
+
+ 
public Dictionary<string, string> CustomMetadataMap { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
Dictionary<System.String, System.String>
+ + + +

Description

+

Unstructured model description

+
+
+
Declaration
+
+ 
public string Description { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String

description string

+
+ + + +

Domain

+

Domain for this model

+
+
+
Declaration
+
+ 
public string Domain { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String

domain name string

+
+ + + +

GraphDescription

+

Unstructured graph description

+
+
+
Declaration
+
+ 
public string GraphDescription { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String

description string

+
+ + + +

GraphName

+

Graph name for this model

+
+
+
Declaration
+
+ 
public string GraphName { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String

graph name string

+
+ + + +

ProducerName

+

Producer name string

+
+
+
Declaration
+
+ 
public string ProducerName { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String

producer name string

+
+ + + +

Version

+

Version number

+
+
+
Declaration
+
+ 
public long Version { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int64

long version integer

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NamedOnnxValue.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NamedOnnxValue.html new file mode 100644 index 0000000000000..00e4fb1014b6a --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NamedOnnxValue.html @@ -0,0 +1,497 @@ + + + + + + + + Class NamedOnnxValue + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class NamedOnnxValue +

+
+
+
+
Inheritance
+
System.Object
+
NamedOnnxValue
+
DisposableNamedOnnxValue
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class NamedOnnxValue
+
+

Constructors +

+ + + +

NamedOnnxValue(String, Object)

+

Constructs an instance of NamedOnnxValue and represents +a model input to an inference session. It also represents a modle output +when serves as a base for DisposablenamedOnnxvalue

+
+
+
Declaration
+
+ 
protected NamedOnnxValue(string name, Object value)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

input/output name

+
Objectvalue

Object that may be a tensor, Dictionary, IList

+
+

Fields +

+ + +

_name

+

Name of the instance, model input/output

+
+
+
Declaration
+
+ 
protected string _name
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
System.String
+ + +

_value

+

Managed Tensor, Dictionary or IList

+
+
+
Declaration
+
+ 
protected Object _value
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
Object
+

Properties +

+ + + +

Name

+

Exposes the name of the of the model input/output

+
+
+
Declaration
+
+ 
public string Name { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String

name string

+
+ + + +

Value

+

Exposes the underlying managed object

+
+
+
Declaration
+
+ 
public Object Value { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
Object

object

+
+

Methods +

+ + + +

AsDictionary<K, V>()

+

Try-get value as an Dictionary<K,V>.

+
+
+
Declaration
+
+ 
public IDictionary<K, V> AsDictionary<K, V>()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDictionary<K, V>

Dictionary object if contained value is a Dictionary. Null otherwise

+
+
Type Parameters
+ + + + + + + + + + + + + + + + + +
NameDescription
K

Key type

+
V

Value type

+
+ + + +

AsEnumerable<T>()

+

Try-get value as an Enumerable<T>.

+
+
+
Declaration
+
+ 
public IEnumerable<T> AsEnumerable<T>()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IEnumerable<T>

Enumerable object if contained value is a Enumerable. Null otherwise

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

Type

+
+ + + +

AsTensor<T>()

+

Try-get value as a Tensor<T>.

+
+
+
Declaration
+
+ 
public Tensor<T> AsTensor<T>()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

Tensor object if contained value is a Tensor. Null otherwise

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

Type

+
+ + + +

CreateFromTensor<T>(String, Tensor<T>)

+

This is a factory method that instantiates NamedOnnxValue +and associated name with an instance of a TensorT

+
+
+
Declaration
+
+ 
public static NamedOnnxValue CreateFromTensor<T>(string name, Tensor<T> value)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

name

+
Tensor<T>value

TensorT

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
NamedOnnxValue
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NnapiFlags.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NnapiFlags.html new file mode 100644 index 0000000000000..b598fd400f41b --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NnapiFlags.html @@ -0,0 +1,155 @@ + + + + + + + + Enum NnapiFlags + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum NnapiFlags +

+

NNAPI flags for use with SessionOptions

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum NnapiFlags
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
NNAPI_FLAG_CPU_DISABLED
NNAPI_FLAG_CPU_ONLY
NNAPI_FLAG_LAST
NNAPI_FLAG_USE_FP16
NNAPI_FLAG_USE_NCHW
NNAPI_FLAG_USE_NONE
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NodeMetadata.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NodeMetadata.html new file mode 100644 index 0000000000000..480b376b656aa --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.NodeMetadata.html @@ -0,0 +1,285 @@ + + + + + + + + Class NodeMetadata + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class NodeMetadata +

+

Resembles type and shape information of session-graph nodes, used for communicating the shape/type of input/output nodes

+
+
+
+
Inheritance
+
System.Object
+
NodeMetadata
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class NodeMetadata
+
+

Properties +

+ + + +

Dimensions

+

Shape

+
+
+
Declaration
+
+ 
public int[] Dimensions { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32[]

Array of dimensions

+
+ + + +

ElementType

+

.NET type that corresponds to this Node.

+
+
+
Declaration
+
+ 
public Type ElementType { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Type

System.Type

+
+ + + +

IsTensor

+

Whether it is a Tensor

+
+
+
Declaration
+
+ 
public bool IsTensor { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

currently always returns true

+
+ + + +

OnnxValueType

+

Type value of the node

+
+
+
Declaration
+
+ 
public OnnxValueType OnnxValueType { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OnnxValueType

A value of OnnxValueType enum

+
+ + + +

SymbolicDimensions

+

Symbolic dimensions

+
+
+
Declaration
+
+ 
public string[] SymbolicDimensions { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String[]

Array of symbolic dimensions if present.

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OnnxRuntimeException.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OnnxRuntimeException.html new file mode 100644 index 0000000000000..ab457bb30ba3b --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OnnxRuntimeException.html @@ -0,0 +1,124 @@ + + + + + + + + Class OnnxRuntimeException + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OnnxRuntimeException +

+

The Exception that is thrown for errors related ton OnnxRuntime

+
+
+
+
Inheritance
+
System.Object
+
OnnxRuntimeException
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OnnxRuntimeException : Exception
+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OnnxValueType.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OnnxValueType.html new file mode 100644 index 0000000000000..f73b4d9b107f9 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OnnxValueType.html @@ -0,0 +1,155 @@ + + + + + + + + Enum OnnxValueType + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum OnnxValueType +

+

A type of data that OrtValue encapsulates.

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum OnnxValueType
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
ONNX_TYPE_MAP
ONNX_TYPE_OPAQUE
ONNX_TYPE_SEQUENCE
ONNX_TYPE_SPARSETENSOR
ONNX_TYPE_TENSOR
ONNX_TYPE_UNKNOWN
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtAllocator.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtAllocator.html new file mode 100644 index 0000000000000..be5673efdd125 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtAllocator.html @@ -0,0 +1,321 @@ + + + + + + + + Class OrtAllocator + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtAllocator +

+

The class exposes native internal allocator for Onnxruntime. +This allocator enables you to allocate memory from the internal +memory pools including device allocations. Useful for binding.

+
+
+
+
Inheritance
+
System.Object
+
OrtAllocator
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtAllocator : SafeHandle
+
+

Constructors +

+ + + +

OrtAllocator(InferenceSession, OrtMemoryInfo)

+

Creates an instance of OrtAllocator according to the specifications in OrtMemorInfo. +The requested allocator should be available within the given session instance. This means +both, the native library was build with specific allocators (for instance CUDA) and the corresponding +provider was added to SessionsOptions before instantiating the session object.

+
+
+
Declaration
+
+ 
public OrtAllocator(InferenceSession session, OrtMemoryInfo memInfo)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
InferenceSessionsession
OrtMemoryInfomemInfo
+

Properties +

+ + + +

DefaultInstance

+

Default CPU allocator instance

+
+
+
Declaration
+
+ 
public static OrtAllocator DefaultInstance { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OrtAllocator
+ + + +

Info

+

OrtMemoryInfo instance owned by the allocator

+
+
+
Declaration
+
+ 
public OrtMemoryInfo Info { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OrtMemoryInfo

Instance of OrtMemoryInfo describing this allocator

+
+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+

Methods +

+ + + +

Allocate(UInt32)

+

Allocate native memory. Returns a disposable instance of OrtMemoryAllocation

+
+
+
Declaration
+
+ 
public OrtMemoryAllocation Allocate(uint size)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.UInt32size

number of bytes to allocate

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
OrtMemoryAllocation

Instance of OrtMemoryAllocation

+
+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of OrtAllocator

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtAllocatorType.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtAllocatorType.html new file mode 100644 index 0000000000000..6604af859f0a4 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtAllocatorType.html @@ -0,0 +1,139 @@ + + + + + + + + Enum OrtAllocatorType + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum OrtAllocatorType +

+

See documentation for OrtAllocatorType in C API

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum OrtAllocatorType
+
+

Fields +

+ + + + + + + + + + + + + + + + + +
NameDescription
ArenaAllocator
DeviceAllocator
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtApi.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtApi.html new file mode 100644 index 0000000000000..ea43191df4464 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtApi.html @@ -0,0 +1,5421 @@ + + + + + + + + Struct OrtApi + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Struct OrtApi +

+
+
+
+
Inherited Members
+
+ System.ValueType.Equals(System.Object) +
+
+ System.ValueType.GetHashCode() +
+
+ System.ValueType.ToString() +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetType() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public struct OrtApi
+
+

Fields +

+ + +

AddCustomOpDomain

+
+
+
Declaration
+
+ 
public IntPtr AddCustomOpDomain
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AddExternalInitializers

+
+
+
Declaration
+
+ 
public IntPtr AddExternalInitializers
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AddFreeDimensionOverride

+
+
+
Declaration
+
+ 
public IntPtr AddFreeDimensionOverride
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AddFreeDimensionOverrideByName

+
+
+
Declaration
+
+ 
public IntPtr AddFreeDimensionOverrideByName
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AddInitializer

+
+
+
Declaration
+
+ 
public IntPtr AddInitializer
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AddRunConfigEntry

+
+
+
Declaration
+
+ 
public IntPtr AddRunConfigEntry
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AddSessionConfigEntry

+
+
+
Declaration
+
+ 
public IntPtr AddSessionConfigEntry
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AllocatorAlloc

+
+
+
Declaration
+
+ 
public IntPtr AllocatorAlloc
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AllocatorFree

+
+
+
Declaration
+
+ 
public IntPtr AllocatorFree
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

AllocatorGetInfo

+
+
+
Declaration
+
+ 
public IntPtr AllocatorGetInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

BindInput

+
+
+
Declaration
+
+ 
public IntPtr BindInput
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

BindOutput

+
+
+
Declaration
+
+ 
public IntPtr BindOutput
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

BindOutputToDevice

+
+
+
Declaration
+
+ 
public IntPtr BindOutputToDevice
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CastTypeInfoToMapTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr CastTypeInfoToMapTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CastTypeInfoToSequenceTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr CastTypeInfoToSequenceTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CastTypeInfoToTensorInfo

+
+
+
Declaration
+
+ 
public IntPtr CastTypeInfoToTensorInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ClearBoundInputs

+
+
+
Declaration
+
+ 
public IntPtr ClearBoundInputs
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ClearBoundOutputs

+
+
+
Declaration
+
+ 
public IntPtr ClearBoundOutputs
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CloneSessionOptions

+
+
+
Declaration
+
+ 
public IntPtr CloneSessionOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CompareMemoryInfo

+
+
+
Declaration
+
+ 
public IntPtr CompareMemoryInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CopyKernelInfo

+
+
+
Declaration
+
+ 
public IntPtr CopyKernelInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateAllocator

+
+
+
Declaration
+
+ 
public IntPtr CreateAllocator
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateAndRegisterAllocator

+
+
+
Declaration
+
+ 
public IntPtr CreateAndRegisterAllocator
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateArenaCfg

+
+
+
Declaration
+
+ 
public IntPtr CreateArenaCfg
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateArenaCfgV2

+
+
+
Declaration
+
+ 
public IntPtr CreateArenaCfgV2
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateCpuMemoryInfo

+
+
+
Declaration
+
+ 
public IntPtr CreateCpuMemoryInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateCUDAProviderOptions

+
+
+
Declaration
+
+ 
public IntPtr CreateCUDAProviderOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateCustomOpDomain

+
+
+
Declaration
+
+ 
public IntPtr CreateCustomOpDomain
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateEnv

+
+
+
Declaration
+
+ 
public IntPtr CreateEnv
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateEnvWithCustomLogger

+
+
+
Declaration
+
+ 
public IntPtr CreateEnvWithCustomLogger
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateEnvWithCustomLoggerAndGlobalThreadPools

+
+
+
Declaration
+
+ 
public IntPtr CreateEnvWithCustomLoggerAndGlobalThreadPools
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateEnvWithGlobalThreadPools

+
+
+
Declaration
+
+ 
public IntPtr CreateEnvWithGlobalThreadPools
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateIoBinding

+
+
+
Declaration
+
+ 
public IntPtr CreateIoBinding
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateMemoryInfo

+
+
+
Declaration
+
+ 
public IntPtr CreateMemoryInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateOp

+
+
+
Declaration
+
+ 
public IntPtr CreateOp
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateOpaqueValue

+
+
+
Declaration
+
+ 
public IntPtr CreateOpaqueValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateOpAttr

+
+
+
Declaration
+
+ 
public IntPtr CreateOpAttr
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreatePrepackedWeightsContainer

+
+
+
Declaration
+
+ 
public IntPtr CreatePrepackedWeightsContainer
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateRunOptions

+
+
+
Declaration
+
+ 
public IntPtr CreateRunOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateSession

+
+
+
Declaration
+
+ 
public IntPtr CreateSession
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateSessionFromArray

+
+
+
Declaration
+
+ 
public IntPtr CreateSessionFromArray
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateSessionFromArrayWithPrepackedWeightsContainer

+
+
+
Declaration
+
+ 
public IntPtr CreateSessionFromArrayWithPrepackedWeightsContainer
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateSessionOptions

+
+
+
Declaration
+
+ 
public IntPtr CreateSessionOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateSessionWithPrepackedWeightsContainer

+
+
+
Declaration
+
+ 
public IntPtr CreateSessionWithPrepackedWeightsContainer
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateSparseTensorAsOrtValue

+
+
+
Declaration
+
+ 
public IntPtr CreateSparseTensorAsOrtValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateSparseTensorWithValuesAsOrtValue

+
+
+
Declaration
+
+ 
public IntPtr CreateSparseTensorWithValuesAsOrtValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateStatus

+
+
+
Declaration
+
+ 
public IntPtr CreateStatus
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateTensorAsOrtValue

+
+
+
Declaration
+
+ 
public IntPtr CreateTensorAsOrtValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateTensorRTProviderOptions

+
+
+
Declaration
+
+ 
public IntPtr CreateTensorRTProviderOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateTensorTypeAndShapeInfo

+
+
+
Declaration
+
+ 
public IntPtr CreateTensorTypeAndShapeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateTensorWithDataAsOrtValue

+
+
+
Declaration
+
+ 
public IntPtr CreateTensorWithDataAsOrtValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateThreadingOptions

+
+
+
Declaration
+
+ 
public IntPtr CreateThreadingOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CreateValue

+
+
+
Declaration
+
+ 
public IntPtr CreateValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

CustomOpDomain_Add

+
+
+
Declaration
+
+ 
public IntPtr CustomOpDomain_Add
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

DisableCpuMemArena

+
+
+
Declaration
+
+ 
public IntPtr DisableCpuMemArena
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

DisableMemPattern

+
+
+
Declaration
+
+ 
public IntPtr DisableMemPattern
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

DisablePerSessionThreads

+
+
+
Declaration
+
+ 
public IntPtr DisablePerSessionThreads
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

DisableProfiling

+
+
+
Declaration
+
+ 
public IntPtr DisableProfiling
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

DisableTelemetryEvents

+
+
+
Declaration
+
+ 
public IntPtr DisableTelemetryEvents
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

EnableCpuMemArena

+
+
+
Declaration
+
+ 
public IntPtr EnableCpuMemArena
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

EnableMemPattern

+
+
+
Declaration
+
+ 
public IntPtr EnableMemPattern
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

EnableOrtCustomOps

+
+
+
Declaration
+
+ 
public IntPtr EnableOrtCustomOps
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

EnableProfiling

+
+
+
Declaration
+
+ 
public IntPtr EnableProfiling
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

EnableTelemetryEvents

+
+
+
Declaration
+
+ 
public IntPtr EnableTelemetryEvents
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

FillSparseTensorBlockSparse

+
+
+
Declaration
+
+ 
public IntPtr FillSparseTensorBlockSparse
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

FillSparseTensorCoo

+
+
+
Declaration
+
+ 
public IntPtr FillSparseTensorCoo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

FillSparseTensorCsr

+
+
+
Declaration
+
+ 
public IntPtr FillSparseTensorCsr
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

FillStringTensor

+
+
+
Declaration
+
+ 
public IntPtr FillStringTensor
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

FillStringTensorElement

+
+
+
Declaration
+
+ 
public IntPtr FillStringTensorElement
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetAllocatorWithDefaultOptions

+
+
+
Declaration
+
+ 
public IntPtr GetAllocatorWithDefaultOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetAvailableProviders

+
+
+
Declaration
+
+ 
public IntPtr GetAvailableProviders
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetBoundOutputNames

+
+
+
Declaration
+
+ 
public IntPtr GetBoundOutputNames
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetBoundOutputValues

+
+
+
Declaration
+
+ 
public IntPtr GetBoundOutputValues
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetCUDAProviderOptionsAsString

+
+
+
Declaration
+
+ 
public IntPtr GetCUDAProviderOptionsAsString
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetCurrentGpuDeviceId

+
+
+
Declaration
+
+ 
public IntPtr GetCurrentGpuDeviceId
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetDenotationFromTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr GetDenotationFromTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetDimensions

+
+
+
Declaration
+
+ 
public IntPtr GetDimensions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetDimensionsCount

+
+
+
Declaration
+
+ 
public IntPtr GetDimensionsCount
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetErrorCode

+
+
+
Declaration
+
+ 
public IntPtr GetErrorCode
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetErrorMessage

+
+
+
Declaration
+
+ 
public IntPtr GetErrorMessage
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetExecutionProviderApi

+
+
+
Declaration
+
+ 
public IntPtr GetExecutionProviderApi
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetMapKeyType

+
+
+
Declaration
+
+ 
public IntPtr GetMapKeyType
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetMapValueType

+
+
+
Declaration
+
+ 
public IntPtr GetMapValueType
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetOnnxTypeFromTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr GetOnnxTypeFromTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetOpaqueValue

+
+
+
Declaration
+
+ 
public IntPtr GetOpaqueValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetSequenceElementType

+
+
+
Declaration
+
+ 
public IntPtr GetSequenceElementType
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetSparseTensorFormat

+
+
+
Declaration
+
+ 
public IntPtr GetSparseTensorFormat
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetSparseTensorIndices

+
+
+
Declaration
+
+ 
public IntPtr GetSparseTensorIndices
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetSparseTensorIndicesTypeShape

+
+
+
Declaration
+
+ 
public IntPtr GetSparseTensorIndicesTypeShape
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetSparseTensorValues

+
+
+
Declaration
+
+ 
public IntPtr GetSparseTensorValues
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetSparseTensorValuesTypeAndShape

+
+
+
Declaration
+
+ 
public IntPtr GetSparseTensorValuesTypeAndShape
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetStringTensorContent

+
+
+
Declaration
+
+ 
public IntPtr GetStringTensorContent
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetStringTensorDataLength

+
+
+
Declaration
+
+ 
public IntPtr GetStringTensorDataLength
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetStringTensorElement

+
+
+
Declaration
+
+ 
public IntPtr GetStringTensorElement
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetStringTensorElementLength

+
+
+
Declaration
+
+ 
public IntPtr GetStringTensorElementLength
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetSymbolicDimensions

+
+
+
Declaration
+
+ 
public IntPtr GetSymbolicDimensions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetTensorElementType

+
+
+
Declaration
+
+ 
public IntPtr GetTensorElementType
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetTensorMemoryInfo

+
+
+
Declaration
+
+ 
public IntPtr GetTensorMemoryInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetTensorMutableData

+
+
+
Declaration
+
+ 
public IntPtr GetTensorMutableData
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetTensorRTProviderOptionsAsString

+
+
+
Declaration
+
+ 
public IntPtr GetTensorRTProviderOptionsAsString
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetTensorShapeElementCount

+
+
+
Declaration
+
+ 
public IntPtr GetTensorShapeElementCount
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetTensorTypeAndShape

+
+
+
Declaration
+
+ 
public IntPtr GetTensorTypeAndShape
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetTrainingApi

+
+
+
Declaration
+
+ 
public IntPtr GetTrainingApi
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr GetTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetValue

+
+
+
Declaration
+
+ 
public IntPtr GetValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetValueCount

+
+
+
Declaration
+
+ 
public IntPtr GetValueCount
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetValueType

+
+
+
Declaration
+
+ 
public IntPtr GetValueType
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

HasValue

+
+
+
Declaration
+
+ 
public IntPtr HasValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

InvokeOp

+
+
+
Declaration
+
+ 
public IntPtr InvokeOp
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

IsSparseTensor

+
+
+
Declaration
+
+ 
public IntPtr IsSparseTensor
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

IsTensor

+
+
+
Declaration
+
+ 
public IntPtr IsTensor
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelContext_GetGPUComputeStream

+
+
+
Declaration
+
+ 
public IntPtr KernelContext_GetGPUComputeStream
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelContext_GetInput

+
+
+
Declaration
+
+ 
public IntPtr KernelContext_GetInput
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelContext_GetInputCount

+
+
+
Declaration
+
+ 
public IntPtr KernelContext_GetInputCount
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelContext_GetOutput

+
+
+
Declaration
+
+ 
public IntPtr KernelContext_GetOutput
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelContext_GetOutputCount

+
+
+
Declaration
+
+ 
public IntPtr KernelContext_GetOutputCount
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelInfoGetAttribute_float

+
+
+
Declaration
+
+ 
public IntPtr KernelInfoGetAttribute_float
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelInfoGetAttribute_int64

+
+
+
Declaration
+
+ 
public IntPtr KernelInfoGetAttribute_int64
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelInfoGetAttribute_string

+
+
+
Declaration
+
+ 
public IntPtr KernelInfoGetAttribute_string
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelInfoGetAttributeArray_float

+
+
+
Declaration
+
+ 
public IntPtr KernelInfoGetAttributeArray_float
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

KernelInfoGetAttributeArray_int64

+
+
+
Declaration
+
+ 
public IntPtr KernelInfoGetAttributeArray_int64
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

MemoryInfoGetId

+
+
+
Declaration
+
+ 
public IntPtr MemoryInfoGetId
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

MemoryInfoGetMemType

+
+
+
Declaration
+
+ 
public IntPtr MemoryInfoGetMemType
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

MemoryInfoGetName

+
+
+
Declaration
+
+ 
public IntPtr MemoryInfoGetName
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

MemoryInfoGetType

+
+
+
Declaration
+
+ 
public IntPtr MemoryInfoGetType
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ModelMetadataGetCustomMetadataMapKeys

+
+
+
Declaration
+
+ 
public IntPtr ModelMetadataGetCustomMetadataMapKeys
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ModelMetadataGetDescription

+
+
+
Declaration
+
+ 
public IntPtr ModelMetadataGetDescription
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ModelMetadataGetDomain

+
+
+
Declaration
+
+ 
public IntPtr ModelMetadataGetDomain
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ModelMetadataGetGraphDescription

+
+
+
Declaration
+
+ 
public IntPtr ModelMetadataGetGraphDescription
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ModelMetadataGetGraphName

+
+
+
Declaration
+
+ 
public IntPtr ModelMetadataGetGraphName
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ModelMetadataGetProducerName

+
+
+
Declaration
+
+ 
public IntPtr ModelMetadataGetProducerName
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ModelMetadataGetVersion

+
+
+
Declaration
+
+ 
public IntPtr ModelMetadataGetVersion
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ModelMetadataLookupCustomMetadataMap

+
+
+
Declaration
+
+ 
public IntPtr ModelMetadataLookupCustomMetadataMap
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RegisterAllocator

+
+
+
Declaration
+
+ 
public IntPtr RegisterAllocator
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RegisterCustomOpsLibrary

+
+
+
Declaration
+
+ 
public IntPtr RegisterCustomOpsLibrary
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseAllocator

+
+
+
Declaration
+
+ 
public IntPtr ReleaseAllocator
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseArenaCfg

+
+
+
Declaration
+
+ 
public IntPtr ReleaseArenaCfg
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseAvailableProviders

+
+
+
Declaration
+
+ 
public IntPtr ReleaseAvailableProviders
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseCUDAProviderOptions

+
+
+
Declaration
+
+ 
public IntPtr ReleaseCUDAProviderOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseCustomOpDomain

+
+
+
Declaration
+
+ 
public IntPtr ReleaseCustomOpDomain
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseEnv

+
+
+
Declaration
+
+ 
public IntPtr ReleaseEnv
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseIoBinding

+
+
+
Declaration
+
+ 
public IntPtr ReleaseIoBinding
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseKernelInfo

+
+
+
Declaration
+
+ 
public IntPtr ReleaseKernelInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseMapTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr ReleaseMapTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseMemoryInfo

+
+
+
Declaration
+
+ 
public IntPtr ReleaseMemoryInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseModelMetadata

+
+
+
Declaration
+
+ 
public IntPtr ReleaseModelMetadata
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseOp

+
+
+
Declaration
+
+ 
public IntPtr ReleaseOp
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseOpAttr

+
+
+
Declaration
+
+ 
public IntPtr ReleaseOpAttr
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleasePrepackedWeightsContainer

+
+
+
Declaration
+
+ 
public IntPtr ReleasePrepackedWeightsContainer
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseRunOptions

+
+
+
Declaration
+
+ 
public IntPtr ReleaseRunOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseSequenceTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr ReleaseSequenceTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseSession

+
+
+
Declaration
+
+ 
public IntPtr ReleaseSession
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseSessionOptions

+
+
+
Declaration
+
+ 
public IntPtr ReleaseSessionOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseStatus

+
+
+
Declaration
+
+ 
public IntPtr ReleaseStatus
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseTensorRTProviderOptions

+
+
+
Declaration
+
+ 
public IntPtr ReleaseTensorRTProviderOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseTensorTypeAndShapeInfo

+
+
+
Declaration
+
+ 
public IntPtr ReleaseTensorTypeAndShapeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseThreadingOptions

+
+
+
Declaration
+
+ 
public IntPtr ReleaseThreadingOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr ReleaseTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

ReleaseValue

+
+
+
Declaration
+
+ 
public IntPtr ReleaseValue
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

Run

+
+
+
Declaration
+
+ 
public IntPtr Run
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunOptionsGetRunLogSeverityLevel

+
+
+
Declaration
+
+ 
public IntPtr RunOptionsGetRunLogSeverityLevel
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunOptionsGetRunLogVerbosityLevel

+
+
+
Declaration
+
+ 
public IntPtr RunOptionsGetRunLogVerbosityLevel
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunOptionsGetRunTag

+
+
+
Declaration
+
+ 
public IntPtr RunOptionsGetRunTag
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunOptionsSetRunLogSeverityLevel

+
+
+
Declaration
+
+ 
public IntPtr RunOptionsSetRunLogSeverityLevel
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunOptionsSetRunLogVerbosityLevel

+
+
+
Declaration
+
+ 
public IntPtr RunOptionsSetRunLogVerbosityLevel
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunOptionsSetRunTag

+
+
+
Declaration
+
+ 
public IntPtr RunOptionsSetRunTag
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunOptionsSetTerminate

+
+
+
Declaration
+
+ 
public IntPtr RunOptionsSetTerminate
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunOptionsUnsetTerminate

+
+
+
Declaration
+
+ 
public IntPtr RunOptionsUnsetTerminate
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

RunWithBinding

+
+
+
Declaration
+
+ 
public IntPtr RunWithBinding
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionEndProfiling

+
+
+
Declaration
+
+ 
public IntPtr SessionEndProfiling
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetInputCount

+
+
+
Declaration
+
+ 
public IntPtr SessionGetInputCount
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetInputName

+
+
+
Declaration
+
+ 
public IntPtr SessionGetInputName
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetInputTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr SessionGetInputTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetModelMetadata

+
+
+
Declaration
+
+ 
public IntPtr SessionGetModelMetadata
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetOutputCount

+
+
+
Declaration
+
+ 
public IntPtr SessionGetOutputCount
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetOutputName

+
+
+
Declaration
+
+ 
public IntPtr SessionGetOutputName
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetOutputTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr SessionGetOutputTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetOverridableInitializerCount

+
+
+
Declaration
+
+ 
public IntPtr SessionGetOverridableInitializerCount
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetOverridableInitializerName

+
+
+
Declaration
+
+ 
public IntPtr SessionGetOverridableInitializerName
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetOverridableInitializerTypeInfo

+
+
+
Declaration
+
+ 
public IntPtr SessionGetOverridableInitializerTypeInfo
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionGetProfilingStartTimeNs

+
+
+
Declaration
+
+ 
public IntPtr SessionGetProfilingStartTimeNs
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsAppendExecutionProvider

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsAppendExecutionProvider
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsAppendExecutionProvider_CUDA

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsAppendExecutionProvider_CUDA
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsAppendExecutionProvider_CUDA_V2

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsAppendExecutionProvider_CUDA_V2
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsAppendExecutionProvider_MIGraphX

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsAppendExecutionProvider_MIGraphX
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsAppendExecutionProvider_OpenVINO

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsAppendExecutionProvider_OpenVINO
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsAppendExecutionProvider_ROCM

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsAppendExecutionProvider_ROCM
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsAppendExecutionProvider_TensorRT

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsAppendExecutionProvider_TensorRT
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsAppendExecutionProvider_TensorRT_V2

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsAppendExecutionProvider_TensorRT_V2
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsSetCustomCreateThreadFn

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsSetCustomCreateThreadFn
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsSetCustomJoinThreadFn

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsSetCustomJoinThreadFn
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SessionOptionsSetCustomThreadCreationOptions

+
+
+
Declaration
+
+ 
public IntPtr SessionOptionsSetCustomThreadCreationOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetCurrentGpuDeviceId

+
+
+
Declaration
+
+ 
public IntPtr SetCurrentGpuDeviceId
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetDimensions

+
+
+
Declaration
+
+ 
public IntPtr SetDimensions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetGlobalCustomCreateThreadFn

+
+
+
Declaration
+
+ 
public IntPtr SetGlobalCustomCreateThreadFn
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetGlobalCustomJoinThreadFn

+
+
+
Declaration
+
+ 
public IntPtr SetGlobalCustomJoinThreadFn
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetGlobalCustomThreadCreationOptions

+
+
+
Declaration
+
+ 
public IntPtr SetGlobalCustomThreadCreationOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetGlobalDenormalAsZero

+
+
+
Declaration
+
+ 
public IntPtr SetGlobalDenormalAsZero
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetGlobalInterOpNumThreads

+
+
+
Declaration
+
+ 
public IntPtr SetGlobalInterOpNumThreads
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetGlobalIntraOpNumThreads

+
+
+
Declaration
+
+ 
public IntPtr SetGlobalIntraOpNumThreads
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetGlobalSpinControl

+
+
+
Declaration
+
+ 
public IntPtr SetGlobalSpinControl
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetInterOpNumThreads

+
+
+
Declaration
+
+ 
public IntPtr SetInterOpNumThreads
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetIntraOpNumThreads

+
+
+
Declaration
+
+ 
public IntPtr SetIntraOpNumThreads
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetLanguageProjection

+
+
+
Declaration
+
+ 
public IntPtr SetLanguageProjection
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetOptimizedModelFilePath

+
+
+
Declaration
+
+ 
public IntPtr SetOptimizedModelFilePath
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetSessionExecutionMode

+
+
+
Declaration
+
+ 
public IntPtr SetSessionExecutionMode
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetSessionGraphOptimizationLevel

+
+
+
Declaration
+
+ 
public IntPtr SetSessionGraphOptimizationLevel
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetSessionLogId

+
+
+
Declaration
+
+ 
public IntPtr SetSessionLogId
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetSessionLogSeverityLevel

+
+
+
Declaration
+
+ 
public IntPtr SetSessionLogSeverityLevel
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetSessionLogVerbosityLevel

+
+
+
Declaration
+
+ 
public IntPtr SetSessionLogVerbosityLevel
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SetTensorElementType

+
+
+
Declaration
+
+ 
public IntPtr SetTensorElementType
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SynchronizeBoundInputs

+
+
+
Declaration
+
+ 
public IntPtr SynchronizeBoundInputs
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

SynchronizeBoundOutputs

+
+
+
Declaration
+
+ 
public IntPtr SynchronizeBoundOutputs
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

TensorAt

+
+
+
Declaration
+
+ 
public IntPtr TensorAt
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

UnregisterAllocator

+
+
+
Declaration
+
+ 
public IntPtr UnregisterAllocator
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

UpdateCUDAProviderOptions

+
+
+
Declaration
+
+ 
public IntPtr UpdateCUDAProviderOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

UpdateTensorRTProviderOptions

+
+
+
Declaration
+
+ 
public IntPtr UpdateTensorRTProviderOptions
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

UseBlockSparseIndices

+
+
+
Declaration
+
+ 
public IntPtr UseBlockSparseIndices
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

UseCooIndices

+
+
+
Declaration
+
+ 
public IntPtr UseCooIndices
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

UseCsrIndices

+
+
+
Declaration
+
+ 
public IntPtr UseCsrIndices
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtApiBase.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtApiBase.html new file mode 100644 index 0000000000000..ab033d37f2377 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtApiBase.html @@ -0,0 +1,189 @@ + + + + + + + + Struct OrtApiBase + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Struct OrtApiBase +

+
+
+
+
Inherited Members
+
+ System.ValueType.Equals(System.Object) +
+
+ System.ValueType.GetHashCode() +
+
+ System.ValueType.ToString() +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetType() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public struct OrtApiBase
+
+

Fields +

+ + +

GetApi

+
+
+
Declaration
+
+ 
public IntPtr GetApi
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + +

GetVersionString

+
+
+
Declaration
+
+ 
public IntPtr GetVersionString
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtArenaCfg.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtArenaCfg.html new file mode 100644 index 0000000000000..54943d1b7ac57 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtArenaCfg.html @@ -0,0 +1,235 @@ + + + + + + + + Class OrtArenaCfg + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtArenaCfg +

+

This class encapsulates arena configuration information that will be used to define the behavior +of an arena based allocator +See docs/C_API.md for more details

+
+
+
+
Inheritance
+
System.Object
+
OrtArenaCfg
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtArenaCfg : SafeHandle
+
+

Constructors +

+ + + +

OrtArenaCfg(UInt32, Int32, Int32, Int32)

+

Create an instance of arena configuration which will be used to create an arena based allocator +See docs/C_API.md for details on what the following parameters mean and how to choose these values

+
+
+
Declaration
+
+ 
public OrtArenaCfg(uint maxMemory, int arenaExtendStrategy, int initialChunkSizeBytes, int maxDeadBytesPerChunk)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.UInt32maxMemory

Maximum amount of memory the arena allocates

+
System.Int32arenaExtendStrategy

Strategy for arena expansion

+
System.Int32initialChunkSizeBytes

Size of the region that the arena allocates first

+
System.Int32maxDeadBytesPerChunk

Maximum amount of fragmentation allowed per chunk

+
+

Properties +

+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+

Methods +

+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of OrtEnv

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtCUDAProviderOptions.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtCUDAProviderOptions.html new file mode 100644 index 0000000000000..f47c4e20c4b70 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtCUDAProviderOptions.html @@ -0,0 +1,254 @@ + + + + + + + + Class OrtCUDAProviderOptions + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtCUDAProviderOptions +

+

Holds the options for configuring a CUDA Execution Provider instance

+
+
+
+
Inheritance
+
System.Object
+
OrtCUDAProviderOptions
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtCUDAProviderOptions : SafeHandle
+
+

Constructors +

+ + + +

OrtCUDAProviderOptions()

+

Constructs an empty OrtCUDAroviderOptions instance

+
+
+
Declaration
+
+ 
public OrtCUDAProviderOptions()
+
+

Properties +

+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+

Methods +

+ + + +

GetOptions()

+

Get CUDA EP provider options

+
+
+
Declaration
+
+ 
public string GetOptions()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.String

return C# UTF-16 encoded string

+
+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of OrtCUDAProviderOptions

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+ + + +

UpdateOptions(Dictionary<String, String>)

+

Updates the configuration knobs of OrtCUDAProviderOptions that will eventually be used to configure a CUDA EP +Please refer to the following on different key/value pairs to configure a CUDA EP and their meaning: +https://www.onnxruntime.ai/docs/reference/execution-providers/CUDA-ExecutionProvider.html

+
+
+
Declaration
+
+ 
public void UpdateOptions(Dictionary<string, string> providerOptions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Dictionary<System.String, System.String>providerOptions

key/value pairs used to configure a CUDA Execution Provider

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtEnv.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtEnv.html new file mode 100644 index 0000000000000..c1fd95ddb3f7c --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtEnv.html @@ -0,0 +1,297 @@ + + + + + + + + Class OrtEnv + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtEnv +

+

This class initializes the process-global ONNX Runtime environment instance (OrtEnv)

+
+
+
+
Inheritance
+
System.Object
+
OrtEnv
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public sealed class OrtEnv : SafeHandle
+
+

Properties +

+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+

Methods +

+ + + +

CreateAndRegisterAllocator(OrtMemoryInfo, OrtArenaCfg)

+

Create and register an allocator to the OrtEnv instance +so as to enable sharing across all sessions using the OrtEnv instance

+OrtMemoryInfo instance to be used for allocator creation +OrtArenaCfg instance that will be used to define the behavior of the arena based allocator +
+
+
Declaration
+
+ 
public void CreateAndRegisterAllocator(OrtMemoryInfo memInfo, OrtArenaCfg arenaCfg)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
OrtMemoryInfomemInfo
OrtArenaCfgarenaCfg
+ + + +

DisableTelemetryEvents()

+

Disable platform telemetry collection

+
+
+
Declaration
+
+ 
public void DisableTelemetryEvents()
+
+ + + +

EnableTelemetryEvents()

+

Enable platform telemetry collection where applicable +(currently only official Windows ORT builds have telemetry collection capabilities)

+
+
+
Declaration
+
+ 
public void EnableTelemetryEvents()
+
+ + + +

GetAvailableProviders()

+

Queries all the execution providers supported in the native onnxruntime shared library

+
+
+
Declaration
+
+ 
public string[] GetAvailableProviders()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.String[]

an array of strings that represent execution provider names

+
+ + + +

Instance()

+

Returns an instance of OrtEnv +It returns the same instance on every call - OrtEnv is singleton

+
+
+
Declaration
+
+ 
public static OrtEnv Instance()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
OrtEnv

Returns a singleton instance of OrtEnv that represents native OrtEnv object

+
+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of OrtEnv

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtExternalAllocation.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtExternalAllocation.html new file mode 100644 index 0000000000000..23a664e14d1b3 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtExternalAllocation.html @@ -0,0 +1,340 @@ + + + + + + + + Class OrtExternalAllocation + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtExternalAllocation +

+

This class represents an arbitrary buffer of memory +allocated and owned by the user. It can be either a CPU, GPU or other device memory +that can be suitably represented by IntPtr. +This is just a composite of the buffer related information. +The memory is assumed to be pinned if necessary and usable immediately +in the native code.

+
+
+
+
Inheritance
+
System.Object
+
OrtExternalAllocation
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtExternalAllocation
+
+

Constructors +

+ + + +

OrtExternalAllocation(OrtMemoryInfo, Int64[], TensorElementType, IntPtr, Int64)

+

Constructor

+
+
+
Declaration
+
+ 
public OrtExternalAllocation(OrtMemoryInfo memInfo, long[] shape, TensorElementType elementType, IntPtr pointer, long sizeInBytes)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
OrtMemoryInfomemInfo

use to accurately describe a piece of memory that this is wrapping

+
System.Int64[]shape

shape of this buffer

+
TensorElementTypeelementType

element type

+
IntPtrpointer

the actual pointer to memory

+
System.Int64sizeInBytes

size of the allocation in bytes

+
+

Properties +

+ + + +

ElementType

+

Data type

+
+
+
Declaration
+
+ 
public TensorElementType ElementType { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
TensorElementType
+ + + +

Info

+

OrtMemoryInfo

+
+
+
Declaration
+
+ 
public OrtMemoryInfo Info { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OrtMemoryInfo
+ + + +

Pointer

+

Actual memory ptr

+
+
+
Declaration
+
+ 
public IntPtr Pointer { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
IntPtr
+ + + +

Shape

+

Shape

+
+
+
Declaration
+
+ 
public long[] Shape { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int64[]
+ + + +

Size

+

Size of the allocation in bytes

+
+
+
Declaration
+
+ 
public long Size { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int64
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtIoBinding.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtIoBinding.html new file mode 100644 index 0000000000000..8d56613901b03 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtIoBinding.html @@ -0,0 +1,573 @@ + + + + + + + + Class OrtIoBinding + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtIoBinding +

+

This class enables binding of inputs and/or outputs to pre-allocated +memory. This enables interesting scenarios. For example, if your input +already resides in some pre-allocated memory like GPU, you can bind +that piece of memory to an input name and shape and onnxruntime will use that as input. +Other traditional inputs can also be bound that already exists as Tensors.

+

Note, that this arrangement is designed to minimize data copies and to that effect +your memory allocations must match what is expected by the model, whether you run on +CPU or GPU. Data copy will still be made, if your pre-allocated memory location does not +match the one expected by the model. However, copies with OrtIoBindings are only done once, +at the time of the binding, not at run time. This means, that if your input data required a copy, +your further input modifications would not be seen by onnxruntime unless you rebind it, even if it is +the same buffer. If you require the scenario where data is copied, OrtIOBinding may not be the best match +for your use case.

+

The fact that data copy is not made during runtime also has performance implications.

+
+
+
+
Inheritance
+
System.Object
+
OrtIoBinding
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtIoBinding : SafeHandle
+
+

Properties +

+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+

Methods +

+ + + +

BindInput(String, FixedBufferOnnxValue)

+

Bind the input with the given name as an OrtValue Tensor allocated in pinned managed memory. +Instance of FixedBufferOnnxValue owns the memory and should be alive until the end of execution.

+
+
+
Declaration
+
+ 
public void BindInput(string name, FixedBufferOnnxValue fixedValue)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

name of input

+
FixedBufferOnnxValuefixedValue
+ + + +

BindInput(String, OrtExternalAllocation)

+

Bind externally (not from OrtAllocator) allocated memory as input. +The model will read the specified input from that memory +possibly avoiding the need to copy between devices. The user code continues to own +the chunk of externally allocated memory, and the allocation should be alive until the end of execution.

+
+
+
Declaration
+
+ 
public void BindInput(string name, OrtExternalAllocation allocation)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

name

+
OrtExternalAllocationallocation

non ort allocated memory

+
+ + + +

BindInput(String, TensorElementType, Int64[], OrtMemoryAllocation)

+

Bind a piece of pre-allocated native memory as a OrtValue Tensor with a given shape +to an input with a given name. The model will read the specified input from that memory +possibly avoiding the need to copy between devices. OrtMemoryAllocation continues to own +the chunk of native memory, and the allocation should be alive until the end of execution.

+
+
+
Declaration
+
+ 
public void BindInput(string name, TensorElementType elementType, long[] shape, OrtMemoryAllocation allocation)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

of the input

+
TensorElementTypeelementType

Tensor element type

+
System.Int64[]shape
OrtMemoryAllocationallocation

native memory allocation

+
+ + + +

BindOutput(String, FixedBufferOnnxValue)

+

Bind model output to a given instance of FixedBufferOnnxValue which owns the underlying +pinned managed memory and should be alive for the time of execution.

+
+
+
Declaration
+
+ 
public void BindOutput(string name, FixedBufferOnnxValue fixedValue)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

of the output

+
FixedBufferOnnxValuefixedValue
+ + + +

BindOutput(String, OrtExternalAllocation)

+

Bind externally (not from OrtAllocator) allocated memory as output. +The model will read the specified input from that memory +possibly avoiding the need to copy between devices. The user code continues to own +the chunk of externally allocated memory, and the allocation should be alive until the end of execution.

+
+
+
Declaration
+
+ 
public void BindOutput(string name, OrtExternalAllocation allocation)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

name

+
OrtExternalAllocationallocation

non ort allocated memory

+
+ + + +

BindOutput(String, TensorElementType, Int64[], OrtMemoryAllocation)

+

Bind model output to an OrtValue as Tensor with a given type and shape. An instance of OrtMemoryAllocaiton +owns the memory and should be alive for the time of execution.

+
+
+
Declaration
+
+ 
public void BindOutput(string name, TensorElementType elementType, long[] shape, OrtMemoryAllocation allocation)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

of the output

+
TensorElementTypeelementType

tensor element type

+
System.Int64[]shape

tensor shape

+
OrtMemoryAllocationallocation

allocated memory

+
+ + + +

BindOutputToDevice(String, OrtMemoryInfo)

+

This function will bind model output with the given name to a device +specified by the memInfo.

+
+
+
Declaration
+
+ 
public void BindOutputToDevice(string name, OrtMemoryInfo memInfo)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

output name

+
OrtMemoryInfomemInfo

instance of memory info

+
+ + + +

ClearBoundInputs()

+

Clear all bound inputs and start anew

+
+
+
Declaration
+
+ 
public void ClearBoundInputs()
+
+ + + +

ClearBoundOutputs()

+

Clear all bound outputs

+
+
+
Declaration
+
+ 
public void ClearBoundOutputs()
+
+ + + +

GetOutputNames()

+

Returns an array of output names in the same order they were bound

+
+
+
Declaration
+
+ 
public string[] GetOutputNames()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.String[]

array of output names

+
+ + + +

GetOutputValues()

+
+
+
Declaration
+
+ 
public IDisposableReadOnlyCollection<OrtValue> GetOutputValues()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
IDisposableReadOnlyCollection<OrtValue>
+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of OrtIoBidning

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+ + + +

SynchronizeBoundInputs()

+

Blocks until device completes all preceding requested tasks. +Useful for memory synchronization.

+
+
+
Declaration
+
+ 
public void SynchronizeBoundInputs()
+
+ + + +

SynchronizeBoundOutputs()

+

Blocks until device completes all preceding requested tasks. +Useful for memory synchronization.

+
+
+
Declaration
+
+ 
public void SynchronizeBoundOutputs()
+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtLanguageProjection.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtLanguageProjection.html new file mode 100644 index 0000000000000..4ffe904126bc4 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtLanguageProjection.html @@ -0,0 +1,155 @@ + + + + + + + + Enum OrtLanguageProjection + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum OrtLanguageProjection +

+

Language projection property for telemetry event for tracking the source usage of ONNXRUNTIME

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum OrtLanguageProjection
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
ORT_PROJECTION_C
ORT_PROJECTION_CPLUSPLUS
ORT_PROJECTION_CSHARP
ORT_PROJECTION_JAVA
ORT_PROJECTION_PYTHON
ORT_PROJECTION_WINML
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtLoggingLevel.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtLoggingLevel.html new file mode 100644 index 0000000000000..da76e8113bd46 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtLoggingLevel.html @@ -0,0 +1,151 @@ + + + + + + + + Enum OrtLoggingLevel + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum OrtLoggingLevel +

+

Log severity levels

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum OrtLoggingLevel
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
ORT_LOGGING_LEVEL_ERROR
ORT_LOGGING_LEVEL_FATAL
ORT_LOGGING_LEVEL_INFO
ORT_LOGGING_LEVEL_VERBOSE
ORT_LOGGING_LEVEL_WARNING
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemType.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemType.html new file mode 100644 index 0000000000000..d0a5f5418a33b --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemType.html @@ -0,0 +1,147 @@ + + + + + + + + Enum OrtMemType + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum OrtMemType +

+

See documentation for OrtMemType in C API

+
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum OrtMemType
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
Cpu
CpuInput
CpuOutput
Default
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemoryAllocation.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemoryAllocation.html new file mode 100644 index 0000000000000..bef218950dde8 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemoryAllocation.html @@ -0,0 +1,242 @@ + + + + + + + + Class OrtMemoryAllocation + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtMemoryAllocation +

+

This class represents memory allocation made by a specific onnxruntime +allocator. Use OrtAllocator.Allocate() to obtain an instance of this class. +It implements IDisposable and makes use of the original allocator +used to allocate the memory. The lifespan of the allocator instance must eclipse the +lifespan of the allocation. Or, if you prefer, all OrtMemoryAllocation instances must be +disposed of before the corresponding allocator instances are disposed of.

+
+
+
+
Inheritance
+
System.Object
+
OrtMemoryAllocation
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtMemoryAllocation : SafeHandle
+
+

Properties +

+ + + +

Info

+

Memory Information about this allocation

+
+
+
Declaration
+
+ 
public OrtMemoryInfo Info { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OrtMemoryInfo

Returns OrtMemoryInfo from the allocator

+
+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+ + + +

Size

+

Size of the allocation

+
+
+
Declaration
+
+ 
public uint Size { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.UInt32

uint size of the allocation in bytes

+
+

Methods +

+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to deallocate +a chunk of memory using the specified allocator.

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemoryInfo.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemoryInfo.html new file mode 100644 index 0000000000000..b9c34b2f3e72e --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtMemoryInfo.html @@ -0,0 +1,622 @@ + + + + + + + + Class OrtMemoryInfo + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtMemoryInfo +

+

This class encapsulates and most of the time owns the underlying native OrtMemoryInfo instance. +Instance returned from OrtAllocator will not own OrtMemoryInfo, the class must be disposed +regardless.

+

Use this class to query and create OrtAllocator instances so you can pre-allocate memory for model +inputs/outputs and use it for binding. Instances of the class can also used to created OrtValues bound +to pre-allocated memory. In that case, the instance of OrtMemoryInfo contains the information about the allocator +used to allocate the underlying memory.

+
+
+
+
Inheritance
+
System.Object
+
OrtMemoryInfo
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtMemoryInfo : SafeHandle
+
+

Constructors +

+ + + +

OrtMemoryInfo(Byte[], OrtAllocatorType, Int32, OrtMemType)

+

Create an instance of OrtMemoryInfo according to the specification +Memory info instances are usually used to get a handle of a native allocator +that is present within the current inference session object. That, in turn, depends +of what execution providers are available within the binary that you are using and are +registered with Add methods.

+
+
+
Declaration
+
+ 
public OrtMemoryInfo(byte[] utf8AllocatorName, OrtAllocatorType allocatorType, int deviceId, OrtMemType memoryType)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Byte[]utf8AllocatorName

Allocator name. Use of the predefined above.

+
OrtAllocatorTypeallocatorType

Allocator type

+
System.Int32deviceId

Device id

+
OrtMemTypememoryType

Memory type

+
+ + + +

OrtMemoryInfo(String, OrtAllocatorType, Int32, OrtMemType)

+

Create an instance of OrtMemoryInfo according to the specification.

+
+
+
Declaration
+
+ 
public OrtMemoryInfo(string allocatorName, OrtAllocatorType allocatorType, int deviceId, OrtMemType memoryType)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringallocatorName

Allocator name

+
OrtAllocatorTypeallocatorType

Allocator type

+
System.Int32deviceId

Device id

+
OrtMemTypememoryType

Memory type

+
+

Fields +

+ + +

allocatorCPU

+

Predefined utf8 encoded allocator names. Use them to construct an instance of +OrtMemoryInfo to avoid UTF-16 to UTF-8 conversion costs.

+
+
+
Declaration
+
+ 
public static readonly byte[] allocatorCPU
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
System.Byte[]
+ + +

allocatorCUDA

+

Predefined utf8 encoded allocator names. Use them to construct an instance of +OrtMemoryInfo to avoid UTF-16 to UTF-8 conversion costs.

+
+
+
Declaration
+
+ 
public static readonly byte[] allocatorCUDA
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
System.Byte[]
+ + +

allocatorCUDA_PINNED

+

Predefined utf8 encoded allocator names. Use them to construct an instance of +OrtMemoryInfo to avoid UTF-16 to UTF-8 conversion costs.

+
+
+
Declaration
+
+ 
public static readonly byte[] allocatorCUDA_PINNED
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
System.Byte[]
+

Properties +

+ + + +

DefaultInstance

+

Default CPU based instance

+
+
+
Declaration
+
+ 
public static OrtMemoryInfo DefaultInstance { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OrtMemoryInfo

Singleton instance of a CpuMemoryInfo

+
+ + + +

Id

+

Returns device ID

+
+
+
Declaration
+
+ 
public int Id { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

returns integer Id value

+
+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+ + + +

Name

+

Name of the allocator associated with the OrtMemoryInfo instance

+
+
+
Declaration
+
+ 
public string Name { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String
+

Methods +

+ + + +

Equals(OrtMemoryInfo)

+

Compares this instance with another

+
+
+
Declaration
+
+ 
public bool Equals(OrtMemoryInfo other)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
OrtMemoryInfoother

OrtMemoryInfo to compare to

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if instances are equal according to OrtCompareMemoryInfo.

+
+ + + +

Equals(Object)

+

Overrides System.Object.Equals(object)

+
+
+
Declaration
+
+ 
public override bool Equals(object obj)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Objectobj

object to compare to

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if obj is an instance of OrtMemoryInfo and is equal to this

+
+ + + +

GetAllocatorType()

+

Fetches allocator type from the underlying OrtAllocator

+
+
+
Declaration
+
+ 
public OrtAllocatorType GetAllocatorType()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
OrtAllocatorType

Returns allocator type

+
+ + + +

GetHashCode()

+

Overrides System.Object.GetHashCode()

+
+
+
Declaration
+
+ 
public override int GetHashCode()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

integer hash value

+
+ + + +

GetMemoryType()

+

The below 2 are really properties but naming them is a challenge +as names would conflict with the returned type. Also, there are native +calls behind them so exposing them as Get() would be appropriate.

+
+
+
Declaration
+
+ 
public OrtMemType GetMemoryType()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
OrtMemType

OrtMemoryType for the instance

+
+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of OrtMmeoryInfo

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtTensorRTProviderOptions.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtTensorRTProviderOptions.html new file mode 100644 index 0000000000000..21d7b5a24428e --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtTensorRTProviderOptions.html @@ -0,0 +1,281 @@ + + + + + + + + Class OrtTensorRTProviderOptions + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtTensorRTProviderOptions +

+

Holds the options for configuring a TensorRT Execution Provider instance

+
+
+
+
Inheritance
+
System.Object
+
OrtTensorRTProviderOptions
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtTensorRTProviderOptions : SafeHandle
+
+

Constructors +

+ + + +

OrtTensorRTProviderOptions()

+

Constructs an empty OrtTensorRTProviderOptions instance

+
+
+
Declaration
+
+ 
public OrtTensorRTProviderOptions()
+
+

Properties +

+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+

Methods +

+ + + +

GetDeviceId()

+

Get device id of TensorRT EP.

+
+
+
Declaration
+
+ 
public int GetDeviceId()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

device id

+
+ + + +

GetOptions()

+

Get TensorRT EP provider options

+
+
+
Declaration
+
+ 
public string GetOptions()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.String

return C# UTF-16 encoded string

+
+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of OrtTensorRTProviderOptions

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+ + + +

UpdateOptions(Dictionary<String, String>)

+

Updates the configuration knobs of OrtTensorRTProviderOptions that will eventually be used to configure a TensorRT EP +Please refer to the following on different key/value pairs to configure a TensorRT EP and their meaning: +https://www.onnxruntime.ai/docs/reference/execution-providers/TensorRT-ExecutionProvider.html

+
+
+
Declaration
+
+ 
public void UpdateOptions(Dictionary<string, string> providerOptions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Dictionary<System.String, System.String>providerOptions

key/value pairs used to configure a TensorRT Execution Provider

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtValue.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtValue.html new file mode 100644 index 0000000000000..868f3958dd0b4 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtValue.html @@ -0,0 +1,322 @@ + + + + + + + + Class OrtValue + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class OrtValue +

+

Represents a disposable OrtValue. +This class exposes a native instance of OrtValue. +The class implements IDisposable via SafeHandle and must +be disposed.

+
+
+
+
Inheritance
+
System.Object
+
OrtValue
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class OrtValue : SafeHandle
+
+

Properties +

+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+

Methods +

+ + + +

CreateFromTensorObject(Object, out Nullable<MemoryHandle>, out TensorElementType)

+

This is a factory method creates a native Onnxruntime OrtValue containing a tensor. +The method will attempt to pin managed memory so no copying occurs when data is passed down +to native code.

+
+
+
Declaration
+
+ 
public static OrtValue CreateFromTensorObject(Object value, out MemoryHandle? memoryHandle, out TensorElementType elementType)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Objectvalue

Tensor object

+
System.Nullable<MemoryHandle>memoryHandle

For all tensor types but string tensors we endeavor to use managed memory +to avoid additional allocation and copy. This out parameter represents a chunk of pinned memory which will need +to be disposed when no longer needed. The lifespan of memoryHandle should eclipse the lifespan of the corresponding +OrtValue.

+
TensorElementTypeelementType

discovered tensor element type

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
OrtValue

And instance of OrtValue constructed on top of the object

+
+ + + +

CreateTensorValueWithData(OrtMemoryInfo, TensorElementType, Int64[], IntPtr, Int64)

+

Factory method to construct an OrtValue of Tensor type on top of pre-allocated memory. +This can be a piece of native memory allocated by OrtAllocator (possibly on a device) +or a piece of pinned managed memory.

+

The resulting OrtValue does not own the underlying memory buffer and will not attempt to +deallocate it.

+
+
+
Declaration
+
+ 
public static OrtValue CreateTensorValueWithData(OrtMemoryInfo memInfo, TensorElementType elementType, long[] shape, IntPtr dataBuffer, long bufferLength)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
OrtMemoryInfomemInfo

Memory Info. For managed memory it is a default cpu. +For Native memory must be obtained from the allocator or OrtMemoryAllocation instance

+
TensorElementTypeelementType

DataType for the Tensor

+
System.Int64[]shape

Tensor shape

+
IntPtrdataBuffer

Pointer to a raw memory buffer

+
System.Int64bufferLength

Buffer length in bytes

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
OrtValue

A disposable instance of OrtValue

+
+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of OrtValue

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.PrePackedWeightsContainer.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.PrePackedWeightsContainer.html new file mode 100644 index 0000000000000..be32813a52907 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.PrePackedWeightsContainer.html @@ -0,0 +1,197 @@ + + + + + + + + Class PrePackedWeightsContainer + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class PrePackedWeightsContainer +

+

This class holds pre-packed weights of shared initializers to be shared across sessions using these initializers +and thereby provide memory savings by sharing the same pre-packed versions of these shared initializers

+
+
+
+
Inheritance
+
System.Object
+
PrePackedWeightsContainer
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class PrePackedWeightsContainer : SafeHandle
+
+

Constructors +

+ + + +

PrePackedWeightsContainer()

+

Constructs an empty PrePackedWeightsContainer

+
+
+
Declaration
+
+ 
public PrePackedWeightsContainer()
+
+

Properties +

+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+

Methods +

+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to deallocate +a chunk of memory using the specified allocator.

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ProviderOptionsValueHelper.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ProviderOptionsValueHelper.html new file mode 100644 index 0000000000000..a6418af3a8e53 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.ProviderOptionsValueHelper.html @@ -0,0 +1,185 @@ + + + + + + + + Class ProviderOptionsValueHelper + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class ProviderOptionsValueHelper +

+

This helper class contains methods to handle values of provider options

+
+
+
+
Inheritance
+
System.Object
+
ProviderOptionsValueHelper
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class ProviderOptionsValueHelper
+
+

Methods +

+ + + +

StringToDict(String, Dictionary<String, String>)

+

Parse from string and save to dictionary

+
+
+
Declaration
+
+ 
public static void StringToDict(string s, Dictionary<string, string> dict)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Strings

C# string

+
Dictionary<System.String, System.String>dict

Dictionary instance to store the parsing result of s

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.RunOptions.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.RunOptions.html new file mode 100644 index 0000000000000..685a9333390c5 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.RunOptions.html @@ -0,0 +1,303 @@ + + + + + + + + Class RunOptions + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class RunOptions +

+

Sets various runtime options.

+
+
+
+
Inheritance
+
System.Object
+
RunOptions
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class RunOptions : SafeHandle
+
+

Constructors +

+ + + +

RunOptions()

+

Default __ctor. Creates default RuntimeOptions

+
+
+
Declaration
+
+ 
public RunOptions()
+
+

Properties +

+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+ + + +

LogId

+

Log tag to be used during the run. default = ""

+
+
+
Declaration
+
+ 
public string LogId { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String
+ + + +

LogSeverityLevel

+

Log Severity Level for the session logs. Default = ORT_LOGGING_LEVEL_WARNING

+
+
+
Declaration
+
+ 
public OrtLoggingLevel LogSeverityLevel { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OrtLoggingLevel
+ + + +

LogVerbosityLevel

+

Log Verbosity Level for the session logs. Default = 0. Valid values are >=0. +This takes into effect only when the LogSeverityLevel is set to ORT_LOGGING_LEVEL_VERBOSE.

+
+
+
Declaration
+
+ 
public int LogVerbosityLevel { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32
+ + + +

Terminate

+

Sets a flag to terminate all Run() calls that are currently using this RunOptions object +Default = false

+
+
+
Declaration
+
+ 
public bool Terminate { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

terminate flag value

+
+

Methods +

+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of RunOptions

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.SessionOptions.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.SessionOptions.html new file mode 100644 index 0000000000000..4bb9f18464817 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.SessionOptions.html @@ -0,0 +1,1426 @@ + + + + + + + + Class SessionOptions + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class SessionOptions +

+

Holds the options for creating an InferenceSession

+
+
+
+
Inheritance
+
System.Object
+
SessionOptions
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class SessionOptions : SafeHandle
+
+

Constructors +

+ + + +

SessionOptions()

+

Constructs an empty SessionOptions

+
+
+
Declaration
+
+ 
public SessionOptions()
+
+

Properties +

+ + + +

EnableCpuMemArena

+

Enables Arena allocator for the CPU memory allocations. Default is true.

+
+
+
Declaration
+
+ 
public bool EnableCpuMemArena { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns _enableCpuMemArena flag value

+
+ + + +

EnableMemoryPattern

+

Enables the use of the memory allocation patterns in the first Run() call for subsequent runs. Default = true.

+
+
+
Declaration
+
+ 
public bool EnableMemoryPattern { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns enableMemoryPattern flag value

+
+ + + +

EnableProfiling

+

Enables profiling of InferenceSession.Run() calls. Default is false

+
+
+
Declaration
+
+ 
public bool EnableProfiling { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns _enableProfiling flag value

+
+ + + +

ExecutionMode

+

Sets the execution mode for the session. Default is set to ORT_SEQUENTIAL. +See [ONNX_Runtime_Perf_Tuning.md] for more details.

+
+
+
Declaration
+
+ 
public ExecutionMode ExecutionMode { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
ExecutionMode

returns _executionMode value

+
+ + + +

GraphOptimizationLevel

+

Sets the graph optimization level for the session. Default is set to ORT_ENABLE_ALL.

+
+
+
Declaration
+
+ 
public GraphOptimizationLevel GraphOptimizationLevel { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
GraphOptimizationLevel

returns _graphOptimizationLevel value

+
+ + + +

InterOpNumThreads

+
+
+
Declaration
+
+ 
public int InterOpNumThreads { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32
+ + + +

IntraOpNumThreads

+
+
+
Declaration
+
+ 
public int IntraOpNumThreads { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32
+ + + +

IsInvalid

+

Overrides SafeHandle.IsInvalid

+
+
+
Declaration
+
+ 
public override bool IsInvalid { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

returns true if handle is equal to Zero

+
+ + + +

LogId

+

Log Id to be used for the session. Default is empty string.

+
+
+
Declaration
+
+ 
public string LogId { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String

returns _logId value

+
+ + + +

LogSeverityLevel

+

Log Severity Level for the session logs. Default = ORT_LOGGING_LEVEL_WARNING

+
+
+
Declaration
+
+ 
public OrtLoggingLevel LogSeverityLevel { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
OrtLoggingLevel

returns _logSeverityLevel value

+
+ + + +

LogVerbosityLevel

+

Log Verbosity Level for the session logs. Default = 0. Valid values are >=0. +This takes into effect only when the LogSeverityLevel is set to ORT_LOGGING_LEVEL_VERBOSE.

+
+
+
Declaration
+
+ 
public int LogVerbosityLevel { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

returns _logVerbosityLevel value

+
+ + + +

OptimizedModelFilePath

+

Set filepath to save optimized model after graph level transformations. Default is empty, which implies saving is disabled.

+
+
+
Declaration
+
+ 
public string OptimizedModelFilePath { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String

returns _optimizedModelFilePath flag value

+
+ + + +

ProfileOutputPathPrefix

+

Path prefix to use for output of profiling data

+
+
+
Declaration
+
+ 
public string ProfileOutputPathPrefix { get; set; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.String
+

Methods +

+ + + +

AddFreeDimensionOverride(String, Int64)

+

Override symbolic dimensions (by specific denotation strings) with actual values if known at session initialization time to enable +optimizations that can take advantage of fixed values (such as memory planning, etc)

+
+
+
Declaration
+
+ 
public void AddFreeDimensionOverride(string dimDenotation, long dimValue)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringdimDenotation

denotation name

+
System.Int64dimValue

denotation value

+
+ + + +

AddFreeDimensionOverrideByName(String, Int64)

+

Override symbolic dimensions (by specific name strings) with actual values if known at session initialization time to enable +optimizations that can take advantage of fixed values (such as memory planning, etc)

+
+
+
Declaration
+
+ 
public void AddFreeDimensionOverrideByName(string dimName, long dimValue)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringdimName

dimension name

+
System.Int64dimValue

dimension value

+
+ + + +

AddInitializer(String, OrtValue)

+

Add a pre-allocated initializer to a session. If a model contains an initializer with a name +that is same as the name passed to this API call, ORT will use this initializer instance +instead of deserializing one from the model file. This is useful when you want to share +the same initializer across sessions.

+
+
+
Declaration
+
+ 
public void AddInitializer(string name, OrtValue ortValue)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringname

name of the initializer

+
OrtValueortValue

OrtValue containing the initializer. Lifetime of 'val' and the underlying initializer buffer must be +managed by the user (created using the CreateTensorWithDataAsOrtValue API) and it must outlive the session object

+
+ + + +

AddSessionConfigEntry(String, String)

+

Set a single session configuration entry as a pair of strings +If a configuration with same key exists, this will overwrite the configuration with the given configValue

+
+
+
Declaration
+
+ 
public void AddSessionConfigEntry(string configKey, string configValue)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringconfigKey

config key name

+
System.StringconfigValue

config key value

+
+ + + +

AppendExecutionProvider(String, Dictionary<String, String>)

+

Append SNPE or XNNPACK execution provider

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider(string providerName, Dictionary<string, string> providerOptions = null)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringproviderName

Execution provider to add. 'SNPE' or 'XNNPACK' are currently supported.

+
Dictionary<System.String, System.String>providerOptions

Optional key/value pairs to specify execution provider options.

+
+ + + +

AppendExecutionProvider_CoreML(CoreMLFlags)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_CoreML(CoreMLFlags coremlFlags = CoreMLFlags.COREML_FLAG_USE_NONE)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
CoreMLFlagscoremlFlags

CoreML specific flags

+
+ + + +

AppendExecutionProvider_CPU(Int32)

+

Appends CPU EP to a list of available execution providers for the session.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_CPU(int useArena = 1)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32useArena

1 - use arena, 0 - do not use arena

+
+ + + +

AppendExecutionProvider_CUDA(OrtCUDAProviderOptions)

+

Append a CUDA EP instance (based on specified configuration) to the SessionOptions instance. +Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_CUDA(OrtCUDAProviderOptions cudaProviderOptions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
OrtCUDAProviderOptionscudaProviderOptions

CUDA EP provider options

+
+ + + +

AppendExecutionProvider_CUDA(Int32)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_CUDA(int deviceId = 0)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32deviceId

integer device ID

+
+ + + +

AppendExecutionProvider_DML(Int32)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_DML(int deviceId = 0)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32deviceId

device identification

+
+ + + +

AppendExecutionProvider_Dnnl(Int32)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_Dnnl(int useArena = 1)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32useArena

1 - use allocation arena, 0 - otherwise

+
+ + + +

AppendExecutionProvider_MIGraphX(Int32)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_MIGraphX(int deviceId = 0)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32deviceId

device identification

+
+ + + +

AppendExecutionProvider_Nnapi(NnapiFlags)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_Nnapi(NnapiFlags nnapiFlags = NnapiFlags.NNAPI_FLAG_USE_NONE)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
NnapiFlagsnnapiFlags

NNAPI specific flag mask

+
+ + + +

AppendExecutionProvider_OpenVINO(String)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_OpenVINO(string deviceId = "")
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.StringdeviceId

device identification, default empty string

+
+ + + +

AppendExecutionProvider_ROCM(Int32)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_ROCM(int deviceId = 0)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32deviceId

Device Id

+
+ + + +

AppendExecutionProvider_Tensorrt(OrtTensorRTProviderOptions)

+

Append a TensorRT EP instance (based on specified configuration) to the SessionOptions instance. +Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_Tensorrt(OrtTensorRTProviderOptions trtProviderOptions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
OrtTensorRTProviderOptionstrtProviderOptions

TensorRT EP provider options

+
+ + + +

AppendExecutionProvider_Tensorrt(Int32)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_Tensorrt(int deviceId = 0)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32deviceId

device identification

+
+ + + +

AppendExecutionProvider_Tvm(String)

+

Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public void AppendExecutionProvider_Tvm(string settings = "")
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringsettings

string with TVM specific settings

+
+ + + +

MakeSessionOptionWithCudaProvider(OrtCUDAProviderOptions)

+

A helper method to construct a SessionOptions object for CUDA execution provider. +Use only if CUDA is installed and you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public static SessionOptions MakeSessionOptionWithCudaProvider(OrtCUDAProviderOptions cudaProviderOptions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
OrtCUDAProviderOptionscudaProviderOptions

CUDA EP provider options

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
SessionOptions

A SessionsOptions() object configured for execution on provider options

+
+ + + +

MakeSessionOptionWithCudaProvider(Int32)

+

A helper method to construct a SessionOptions object for CUDA execution. +Use only if CUDA is installed and you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public static SessionOptions MakeSessionOptionWithCudaProvider(int deviceId = 0)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32deviceId
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
SessionOptions

A SessionsOptions() object configured for execution on deviceId

+
+ + + +

MakeSessionOptionWithRocmProvider(Int32)

+

A helper method to construct a SessionOptions object for ROCM execution. +Use only if ROCM is installed and you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public static SessionOptions MakeSessionOptionWithRocmProvider(int deviceId = 0)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32deviceId

Device Id

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
SessionOptions

A SessionsOptions() object configured for execution on deviceId

+
+ + + +

MakeSessionOptionWithTensorrtProvider(OrtTensorRTProviderOptions)

+

A helper method to construct a SessionOptions object for TensorRT execution provider. +Use only if CUDA/TensorRT are installed and you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public static SessionOptions MakeSessionOptionWithTensorrtProvider(OrtTensorRTProviderOptions trtProviderOptions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
OrtTensorRTProviderOptionstrtProviderOptions

TensorRT EP provider options

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
SessionOptions

A SessionsOptions() object configured for execution on provider options

+
+ + + +

MakeSessionOptionWithTensorrtProvider(Int32)

+

A helper method to construct a SessionOptions object for TensorRT execution. +Use only if CUDA/TensorRT are installed and you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public static SessionOptions MakeSessionOptionWithTensorrtProvider(int deviceId = 0)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32deviceId
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
SessionOptions

A SessionsOptions() object configured for execution on deviceId

+
+ + + +

MakeSessionOptionWithTvmProvider(String)

+

A helper method to construct a SessionOptions object for TVM execution. +Use only if you have the onnxruntime package specific to this Execution Provider.

+
+
+
Declaration
+
+ 
public static SessionOptions MakeSessionOptionWithTvmProvider(String settings = null)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Stringsettings

settings string, comprises of comma separated key:value pairs. default is empty

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
SessionOptions

A SessionsOptions() object configured for execution with TVM

+
+ + + +

RegisterCustomOpLibrary(String)

+

(Deprecated) Loads a DLL named 'libraryPath' and looks for this entry point: +OrtStatus* RegisterCustomOps(OrtSessionOptions* options, const OrtApiBase* api); +It then passes in the provided session options to this function along with the api base. +Deprecated in favor of RegisterCustomOpLibraryV2() because it provides users with the library handle +to release when all sessions relying on it are destroyed

+
+
+
Declaration
+
+ 
public void RegisterCustomOpLibrary(string libraryPath)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.StringlibraryPath

path to the custom op library

+
+ + + +

RegisterCustomOpLibraryV2(String, out IntPtr)

+

Loads a DLL named 'libraryPath' and looks for this entry point: +OrtStatus* RegisterCustomOps(OrtSessionOptions* options, const OrtApiBase* api); +It then passes in the provided session options to this function along with the api base. +The handle to the loaded library is returned in 'libraryHandle'. +It can be unloaded by the caller after all sessions using the passed in +session options are destroyed, or if an error occurs and it is non null. +Hint: .NET Core 3.1 has a 'NativeLibrary' class that can be used to free the library handle

+
+
+
Declaration
+
+ 
public void RegisterCustomOpLibraryV2(string libraryPath, out IntPtr libraryHandle)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.StringlibraryPath

Custom op library path

+
IntPtrlibraryHandle

out parameter, library handle

+
+ + + +

ReleaseHandle()

+

Overrides SafeHandle.ReleaseHandle() to properly dispose of +the native instance of SessionOptions

+
+
+
Declaration
+
+ 
protected override bool ReleaseHandle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always returns true

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.SessionOptionsContainer.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.SessionOptionsContainer.html new file mode 100644 index 0000000000000..7b38f0e63121b --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.SessionOptionsContainer.html @@ -0,0 +1,334 @@ + + + + + + + + Class SessionOptionsContainer + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class SessionOptionsContainer +

+

Helper to allow the creation/addition of session options based on pre-defined named entries.

+
+
+
+
Inheritance
+
System.Object
+
SessionOptionsContainer
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public static class SessionOptionsContainer
+
+

Methods +

+ + + +

ApplyConfiguration(SessionOptions, String, Boolean)

+

Apply a configuration to a SessionOptions instance.

+
+
+
Declaration
+
+ 
public static SessionOptions ApplyConfiguration(this SessionOptions options, string configuration = null, bool useDefaultAsFallback = true)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
SessionOptionsoptions

SessionOptions to apply configuration to.

+
System.Stringconfiguration

Configuration to use.

+
System.BooleanuseDefaultAsFallback

Use the default configuration if 'configuration' is not provided or not found.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
SessionOptions

Updated SessionOptions instance.

+
+ + + +

Create(String, Boolean)

+

Create a SessionOptions instance with configuration applied.

+
+
+
Declaration
+
+ 
public static SessionOptions Create(string configuration = null, bool useDefaultAsFallback = true)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringconfiguration

Configuration to use. +If not provided, the default set of session options will be applied if useDefaultAsFallback is true.

+
System.BooleanuseDefaultAsFallback

If configuration is not provided or not found, use the default session options.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
SessionOptions

SessionOptions with configuration applied.

+
+ + + +

Register(Action<SessionOptions>)

+

Register the default handler. This is used when a configuration name is not provided.

+
+
+
Declaration
+
+ 
public static void Register(Action<SessionOptions> defaultHandler)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Action<SessionOptions>defaultHandler

Handler that applies the default settings to a SessionOptions instance.

+
+ + + +

Register(String, Action<SessionOptions>)

+

Register a named handler.

+
+
+
Declaration
+
+ 
public static void Register(string configuration, Action<SessionOptions> handler)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Stringconfiguration

Configuration name.

+
Action<SessionOptions>handler

Handler that applies the settings for the configuration to a SessionOptions instance.

+
+ + + +

Reset()

+

Reset by removing all registered handlers.

+
+
+
Declaration
+
+ 
public static void Reset()
+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.ArrayTensorExtensions.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.ArrayTensorExtensions.html new file mode 100644 index 0000000000000..ab2f8c1e6f85d --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.ArrayTensorExtensions.html @@ -0,0 +1,478 @@ + + + + + + + + Class ArrayTensorExtensions + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class ArrayTensorExtensions +

+
+
+
+
Inheritance
+
System.Object
+
ArrayTensorExtensions
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public static class ArrayTensorExtensions
+
+

Methods +

+ + + +

ToTensor<T>(T[])

+

Creates a copy of this single-dimensional array as a DenseTensor<T>

+
+
+
Declaration
+
+ 
public static DenseTensor<T> ToTensor<T>(this T[] array)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
T[]array

The array to create a DenseTensor<T> from.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
DenseTensor<T>

A 1-dimensional DenseTensor<T> with the same length and content as array.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

Type contained in the array to copy to the DenseTensor<T>.

+
+ + + +

ToTensor<T>(T[,,,], Boolean)

+

Creates a copy of this four-dimensional array as a DenseTensor<T>

+
+
+
Declaration
+
+ 
public static DenseTensor<T> ToTensor<T>(this T[,,, ] array, bool reverseStride = false)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
T[,,,]array

The array to create a DenseTensor<T> from.

+
System.BooleanreverseStride

False (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. True to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
DenseTensor<T>

A 4-dimensional DenseTensor<T> with the same dimensions and content as array.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

Type contained in the array to copy to the DenseTensor<T>.

+
+ + + +

ToTensor<T>(T[,,], Boolean)

+

Creates a copy of this three-dimensional array as a DenseTensor<T>

+
+
+
Declaration
+
+ 
public static DenseTensor<T> ToTensor<T>(this T[,, ] array, bool reverseStride = false)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
T[,,]array

The array to create a DenseTensor<T> from.

+
System.BooleanreverseStride

False (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. True to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
DenseTensor<T>

A 3-dimensional DenseTensor<T> with the same dimensions and content as array.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

Type contained in the array to copy to the DenseTensor<T>.

+
+ + + +

ToTensor<T>(T[,], Boolean)

+

Creates a copy of this two-dimensional array as a DenseTensor<T>

+
+
+
Declaration
+
+ 
public static DenseTensor<T> ToTensor<T>(this T[, ] array, bool reverseStride = false)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
T[,]array

The array to create a DenseTensor<T> from.

+
System.BooleanreverseStride

False (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): row-major. True to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): column-major.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
DenseTensor<T>

A 2-dimensional DenseTensor<T> with the same dimensions and content as array.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

Type contained in the array to copy to the DenseTensor<T>.

+
+ + + +

ToTensor<T>(Array, Boolean)

+

Creates a copy of this n-dimensional array as a DenseTensor<T>

+
+
+
Declaration
+
+ 
public static DenseTensor<T> ToTensor<T>(this Array array, bool reverseStride = false)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Arrayarray

The array to create a DenseTensor<T> from.

+
System.BooleanreverseStride

False (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. True to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
DenseTensor<T>

A n-dimensional DenseTensor<T> with the same dimensions and content as array.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

Type contained in the array to copy to the DenseTensor<T>.

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.BFloat16.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.BFloat16.html new file mode 100644 index 0000000000000..0603580d3fd6f --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.BFloat16.html @@ -0,0 +1,510 @@ + + + + + + + + Struct BFloat16 + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Struct BFloat16 +

+

This value type represents A BFloat16 value +it is blittable as defined in https://docs.microsoft.com/en-us/dotnet/framework/interop/blittable-and-non-blittable-types +and as such, represented the same way in managed and native memories. This means that arrays of this type +do not have to be copied to be passed to native memory but simply pinnned and read by native code. Thus, +one can create a Tensor on top of an array of these structures and feed it directly to Onnxruntime library. +Binary wise, it is the same as ushort[] (uint16_t in C++). However, we would like a separate type for type dispatching.

+
+
+
+
Inherited Members
+
+ System.ValueType.ToString() +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetType() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public struct BFloat16
+
+

Constructors +

+ + + +

BFloat16(UInt16)

+

Ctor

+
+
+
Declaration
+
+ 
public BFloat16(ushort v)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.UInt16v
+

Fields +

+ + +

value

+

bfloat16 representation bits

+
+
+
Declaration
+
+ 
public ushort value
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
System.UInt16
+

Methods +

+ + + +

Equals(BFloat16)

+

Returns a value indicating whether this instance and other BFloat16 represent the same value.

+
+
+
Declaration
+
+ 
public bool Equals(BFloat16 other)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
BFloat16other

A BFloat16 object to compare to this instance.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if other.value is equal to this instance; otherwise, false.

+
+ + + +

Equals(Object)

+

Returns a value indicating whether this instance and a specified System.Object +represent the same type and value.

+
+
+
Declaration
+
+ 
public override bool Equals(object obj)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Objectobj

An System.Object.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if obj is BFloat16 its value is equal to this instance; otherwise, false.

+
+
Overrides
+
System.ValueType.Equals(System.Object)
+ + + +

GetHashCode()

+

Returns the hash code for this instance.

+
+
+
Declaration
+
+ 
public override int GetHashCode()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

A 32-bit signed integer hash code.

+
+
Overrides
+
System.ValueType.GetHashCode()
+

Operators +

+ + + +

Equality(BFloat16, BFloat16)

+

Compares values of two BFloat16 for binary equality

+
+
+
Declaration
+
+ 
public static bool operator ==(BFloat16 lhs, BFloat16 rhs)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
BFloat16lhs
BFloat16rhs
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

result of value comparisons

+
+ + + +

Implicit(BFloat16 to UInt16)

+

Converts to ushort

+
+
+
Declaration
+
+ 
public static implicit operator ushort (BFloat16 bf)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
BFloat16bf

instance of BFloat16

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.UInt16

value member

+
+ + + +

Implicit(UInt16 to BFloat16)

+

Converts a 16-bit unsigned integer to a BFloat16.

+
+
+
Declaration
+
+ 
public static implicit operator BFloat16(ushort value)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.UInt16value

A 16-bit unsigned integer.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
BFloat16

A BFloat16 that represents the converted 16-bit unsigned integer.

+
+ + + +

Inequality(BFloat16, BFloat16)

+

Compares values of two BFloat16 for binary inequality

+
+
+
Declaration
+
+ 
public static bool operator !=(BFloat16 lhs, BFloat16 rhs)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
BFloat16lhs
BFloat16rhs
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

result of value comparisons

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.DenseTensor-1.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.DenseTensor-1.html new file mode 100644 index 0000000000000..d1c98d7fdc6be --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.DenseTensor-1.html @@ -0,0 +1,728 @@ + + + + + + + + Class DenseTensor<T> + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class DenseTensor<T> +

+

Represents a multi-dimensional collection of objects of type T that can be accessed by indices.
+DenseTensor stores values in a contiguous sequential block of memory where all values are represented.

+
+
+
+
Inheritance
+
System.Object
+
TensorBase
+
Tensor<T>
+
DenseTensor<T>
+
+
+
Implements
+
IList
+
IList<T>
+
IReadOnlyList<T>
+
IStructuralComparable
+
IStructuralEquatable
+
+
+
Inherited Members
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class DenseTensor<T> : Tensor<T>
+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

Type contained within the Tensor. Typically a value type such as int, double, float, etc.

+
+

Constructors +

+ + + +

DenseTensor(Memory<T>, ReadOnlySpan<Int32>, Boolean)

+

Constructs a new DenseTensor of the specified dimensions, wrapping existing backing memory for the contents.

+
+
+
Declaration
+
+ 
public DenseTensor(Memory<T> memory, ReadOnlySpan<int> dimensions, bool reverseStride = false)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Memory<T>memory
ReadOnlySpan<System.Int32>dimensions

An span of integers that represent the size of each dimension of the DenseTensor to create.

+
System.BooleanreverseStride

False (default) to indicate that the first dimension is most major (farthest apart) and the last dimension +is most minor (closest together): akin to row-major in a rank-2 tensor.
+True to indicate that the last dimension is most major (farthest apart) and the first dimension is most +minor (closest together): akin to column-major in a rank-2 tensor.

+
+ + + +

DenseTensor(ReadOnlySpan<Int32>, Boolean)

+

Initializes a rank-n Tensor using the dimensions specified in dimensions.

+
+
+
Declaration
+
+ 
public DenseTensor(ReadOnlySpan<int> dimensions, bool reverseStride = false)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
ReadOnlySpan<System.Int32>dimensions

An span of integers that represent the size of each dimension of the DenseTensor to create.

+
System.BooleanreverseStride

False (default) to indicate that the first dimension is most major (farthest apart) and the last dimension +is most minor (closest together): akin to row-major in a rank-2 tensor.
+True to indicate that the last dimension is most major (farthest apart) and the first dimension is most +minor (closest together): akin to column-major in a rank-2 tensor.

+
+ + + +

DenseTensor(Int32)

+

Initializes a rank-1 Tensor using the specified length.

+
+
+
Declaration
+
+ 
public DenseTensor(int length)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32length

Size of the 1-dimensional tensor

+
+

Properties +

+ + + +

Buffer

+

Memory storing backing values of this tensor.

+
+
+
Declaration
+
+ 
public Memory<T> Buffer { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
Memory<T>
+

Methods +

+ + + +

Clone()

+

Creates a shallow copy of this tensor, with new backing storage.

+
+
+
Declaration
+
+ 
public override Tensor<T> Clone()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A shallow copy of this tensor.

+
+
Overrides
+
Microsoft.ML.OnnxRuntime.Tensors.Tensor<T>.Clone()
+ + + +

CloneEmpty<TResult>(ReadOnlySpan<Int32>)

+

Creates a new Tensor of a different type with the specified dimensions and the same layout as this tensor +with elements initialized to their default value.

+
+
+
Declaration
+
+ 
public override Tensor<TResult> CloneEmpty<TResult>(ReadOnlySpan<int> dimensions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
ReadOnlySpan<System.Int32>dimensions

An span of integers that represent the size of each dimension of the DenseTensor to create.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<TResult>

A new tensor with the same layout as this tensor but different type and dimensions.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
TResult

Type contained in the returned Tensor.

+
+
Overrides
+
Microsoft.ML.OnnxRuntime.Tensors.Tensor<T>.CloneEmpty<TResult>(ReadOnlySpan<System.Int32>)
+ + + +

CopyTo(T[], Int32)

+

Overrides Tensor.CopyTo(). Copies the content of the Tensor +to the specified array starting with arrayIndex

+
+
+
Declaration
+
+ 
protected override void CopyTo(T[] array, int arrayIndex)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
T[]array

destination array

+
System.Int32arrayIndex

start index

+
+
Overrides
+
Microsoft.ML.OnnxRuntime.Tensors.Tensor<T>.CopyTo(T[], System.Int32)
+ + + +

GetValue(Int32)

+

Gets the value at the specified index, where index is a linearized version of n-dimension indices +using strides. For a scalar, use index = 0

+
+
+
Declaration
+
+ 
public override T GetValue(int index)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32index

An integer index computed as a dot-product of indices.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
T

The value at the specified position in this Tensor.

+
+
Overrides
+
Microsoft.ML.OnnxRuntime.Tensors.Tensor<T>.GetValue(System.Int32)
+ + + +

IndexOf(T)

+

Determines the index of a specific item in the Tensor<T>.

+
+
+
Declaration
+
+ 
protected override int IndexOf(T item)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Titem

Object to locate

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

The index of item if found in the tensor; otherwise, -1

+
+
Overrides
+
Microsoft.ML.OnnxRuntime.Tensors.Tensor<T>.IndexOf(T)
+ + + +

Reshape(ReadOnlySpan<Int32>)

+

Reshapes the current tensor to new dimensions, using the same backing storage.

+
+
+
Declaration
+
+ 
public override Tensor<T> Reshape(ReadOnlySpan<int> dimensions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
ReadOnlySpan<System.Int32>dimensions

An span of integers that represent the size of each dimension of the DenseTensor to create.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A new tensor that reinterprets backing Buffer of this tensor with different dimensions.

+
+
Overrides
+
Microsoft.ML.OnnxRuntime.Tensors.Tensor<T>.Reshape(ReadOnlySpan<System.Int32>)
+ + + +

SetValue(Int32, T)

+

Sets the value at the specified index, where index is a linearized version of n-dimension indices +using strides. For a scalar, use index = 0

+
+
+
Declaration
+
+ 
public override void SetValue(int index, T value)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32index

An integer index computed as a dot-product of indices.

+
Tvalue

The new value to set at the specified position in this Tensor.

+
+
Overrides
+
Microsoft.ML.OnnxRuntime.Tensors.Tensor<T>.SetValue(System.Int32, T)
+

Implements

+
+ IList +
+
+ IList<> +
+
+ IReadOnlyList<> +
+
+ IStructuralComparable +
+
+ IStructuralEquatable +
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Float16.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Float16.html new file mode 100644 index 0000000000000..6e8640575e0e2 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Float16.html @@ -0,0 +1,510 @@ + + + + + + + + Struct Float16 + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Struct Float16 +

+

This value type represents A Float16 value +it is blittable as defined in https://docs.microsoft.com/en-us/dotnet/framework/interop/blittable-and-non-blittable-types +and as such, represented the same way in managed and native memories. This means that arrays of this type +do not have to be copied to be passed to native memory but simply pinnned and read by native code. Thus, +one can create a Tensor on top of an array of these structures and feed it directly to Onnxruntime library. +Binary wise, it is the same as ushort[] (uint16_t in C++). However, we would like a separate type for type dispatching.

+
+
+
+
Inherited Members
+
+ System.ValueType.ToString() +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetType() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public struct Float16
+
+

Constructors +

+ + + +

Float16(UInt16)

+

Ctor

+
+
+
Declaration
+
+ 
public Float16(ushort v)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.UInt16v
+

Fields +

+ + +

value

+

float16 representation bits

+
+
+
Declaration
+
+ 
public ushort value
+
+
Field Value
+ + + + + + + + + + + + + +
TypeDescription
System.UInt16
+

Methods +

+ + + +

Equals(Float16)

+

Returns a value indicating whether this instance and other Float16 represent the same value.

+
+
+
Declaration
+
+ 
public bool Equals(Float16 other)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Float16other

A Float16 object to compare to this instance.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if other.value is equal to this instance; otherwise, false.

+
+ + + +

Equals(Object)

+

Returns a value indicating whether this instance and a specified System.Object +represent the same type and value.

+
+
+
Declaration
+
+ 
public override bool Equals(object obj)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Objectobj

An System.Object.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if obj is Float16 and its value is equal to this instance; otherwise, false.

+
+
Overrides
+
System.ValueType.Equals(System.Object)
+ + + +

GetHashCode()

+

Returns the hash code for this instance.

+
+
+
Declaration
+
+ 
public override int GetHashCode()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

A 32-bit signed integer hash code.

+
+
Overrides
+
System.ValueType.GetHashCode()
+

Operators +

+ + + +

Equality(Float16, Float16)

+

Compares values of two Float16 for binary equality

+
+
+
Declaration
+
+ 
public static bool operator ==(Float16 lhs, Float16 rhs)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Float16lhs
Float16rhs
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

result of value comparisons

+
+ + + +

Implicit(Float16 to UInt16)

+

Converts to ushort

+
+
+
Declaration
+
+ 
public static implicit operator ushort (Float16 f)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Float16f

instance of Float16

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.UInt16

value member

+
+ + + +

Implicit(UInt16 to Float16)

+

Converts a 16-bit unsigned integer to a Float16.

+
+
+
Declaration
+
+ 
public static implicit operator Float16(ushort value)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.UInt16value

A 16-bit unsigned integer.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Float16

A Float16 that represents the converted 16-bit unsigned integer.

+
+ + + +

Inequality(Float16, Float16)

+

Compares values of two Float16 for binary inequality

+
+
+
Declaration
+
+ 
public static bool operator !=(Float16 lhs, Float16 rhs)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Float16lhs
Float16rhs
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

result of value comparisons

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Tensor-1.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Tensor-1.html new file mode 100644 index 0000000000000..e35419940d45c --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Tensor-1.html @@ -0,0 +1,1496 @@ + + + + + + + + Class Tensor<T> + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class Tensor<T> +

+

Represents a multi-dimensional collection of objects of type T that can be accessed by indices.

+
+
+
+
Inheritance
+
System.Object
+
TensorBase
+
Tensor<T>
+
DenseTensor<T>
+
+
+
Implements
+
IList
+
IList<T>
+
IReadOnlyList<T>
+
IStructuralComparable
+
IStructuralEquatable
+
+
+
Inherited Members
+ + + +
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public abstract class Tensor<T> : TensorBase
+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

type contained within the Tensor. Typically a value type such as int, double, float, etc.

+
+

Constructors +

+ + + +

Tensor(Array, Boolean)

+

Initializes tensor with same dimensions as array, content of array is ignored.
+ReverseStride=true gives a stride of 1-element width to the first dimension (0).
+ReverseStride=false gives a stride of 1-element width to the last dimension (n-1).

+
+
+
Declaration
+
+ 
protected Tensor(Array fromArray, bool reverseStride)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
ArrayfromArray

Array from which to derive dimensions.

+
System.BooleanreverseStride

False (default) to indicate that the first dimension is most major (farthest apart) and the +last dimension is most minor (closest together): akin to row-major in a rank-2 tensor.
+True to indicate that the last dimension is most major (farthest apart) and the first dimension +is most minor (closest together): akin to column-major in a rank-2 tensor.

+
+ + + +

Tensor(ReadOnlySpan<Int32>, Boolean)

+

Initialize an n-dimensional tensor with the specified dimensions and layout. ReverseStride=true gives a stride of 1-element width to the first dimension (0). ReverseStride=false gives a stride of 1-element width to the last dimension (n-1).

+
+
+
Declaration
+
+ 
protected Tensor(ReadOnlySpan<int> dimensions, bool reverseStride)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
ReadOnlySpan<System.Int32>dimensions

An span of integers that represent the size of each dimension of the Tensor to create.

+
System.BooleanreverseStride

False (default) to indicate that the first dimension is most major (farthest apart) and the last dimension is most minor (closest together): akin to row-major in a rank-2 tensor. True to indicate that the last dimension is most major (farthest apart) and the first dimension is most minor (closest together): akin to column-major in a rank-2 tensor.

+
+ + + +

Tensor(Int32)

+

Initialize a 1-dimensional tensor of the specified length

+
+
+
Declaration
+
+ 
protected Tensor(int length)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32length

Size of the 1-dimensional tensor

+
+

Properties +

+ + + +

Dimensions

+

Returns a readonly view of the dimensions of this tensor.

+
+
+
Declaration
+
+ 
public ReadOnlySpan<int> Dimensions { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
ReadOnlySpan<System.Int32>
+ + + +

IsFixedSize

+

Always fixed size Tensor

+
+
+
Declaration
+
+ 
public bool IsFixedSize { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always true

+
+ + + +

IsReadOnly

+

Tensor is not readonly

+
+
+
Declaration
+
+ 
public bool IsReadOnly { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

always false

+
+ + + +

IsReversedStride

+

True if strides are reversed (AKA Column-major)

+
+
+
Declaration
+
+ 
public bool IsReversedStride { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean
+ + + +

Item[ReadOnlySpan<Int32>]

+

Obtains the value at the specified indices

+
+
+
Declaration
+
+ 
public virtual T this[ReadOnlySpan<int> indices] { get; set; }
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
ReadOnlySpan<System.Int32>indices

A span integers that represent the indices specifying the position of the element to get.

+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
T

The value at the specified position in this Tensor.

+
+ + + +

Item[Int32[]]

+

Obtains the value at the specified indices

+
+
+
Declaration
+
+ 
public virtual T this[params int[] indices] { get; set; }
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32[]indices

A one-dimensional array of integers that represent the indices specifying the position of the element to get.

+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
T

The value at the specified position in this Tensor.

+
+ + + +

Length

+

Total length of the Tensor.

+
+
+
Declaration
+
+ 
public long Length { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int64
+ + + +

Rank

+

Rank of the tensor: number of dimensions.

+
+
+
Declaration
+
+ 
public int Rank { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32
+ + + +

Strides

+

Returns a readonly view of the strides of this tensor.

+
+
+
Declaration
+
+ 
public ReadOnlySpan<int> Strides { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
ReadOnlySpan<System.Int32>
+

Methods +

+ + + +

Clone()

+

Creates a shallow copy of this tensor, with new backing storage.

+
+
+
Declaration
+
+ 
public abstract Tensor<T> Clone()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A shallow copy of this tensor.

+
+ + + +

CloneEmpty()

+

Creates a new Tensor with the same layout and dimensions as this tensor with elements initialized to their default value.

+
+
+
Declaration
+
+ 
public virtual Tensor<T> CloneEmpty()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A new Tensor with the same layout and dimensions as this tensor with elements initialized to their default value.

+
+ + + +

CloneEmpty(ReadOnlySpan<Int32>)

+

Creates a new Tensor with the specified dimensions and the same layout as this tensor with elements initialized to their default value.

+
+
+
Declaration
+
+ 
public virtual Tensor<T> CloneEmpty(ReadOnlySpan<int> dimensions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
ReadOnlySpan<System.Int32>dimensions

An span of integers that represent the size of each dimension of the DenseTensor to create.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A new Tensor with the same layout as this tensor and specified dimensions with elements initialized to their default value.

+
+ + + +

CloneEmpty<TResult>()

+

Creates a new Tensor of a different type with the same layout and size as this tensor with elements initialized to their default value.

+
+
+
Declaration
+
+ 
public virtual Tensor<TResult> CloneEmpty<TResult>()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<TResult>

A new Tensor with the same layout and dimensions as this tensor with elements of TResult type initialized to their default value.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
TResult

Type contained within the new Tensor. Typically a value type such as int, double, float, etc.

+
+ + + +

CloneEmpty<TResult>(ReadOnlySpan<Int32>)

+

Creates a new Tensor of a different type with the specified dimensions and the same layout as this tensor with elements initialized to their default value.

+
+
+
Declaration
+
+ 
public abstract Tensor<TResult> CloneEmpty<TResult>(ReadOnlySpan<int> dimensions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
ReadOnlySpan<System.Int32>dimensions

An span of integers that represent the size of each dimension of the DenseTensor to create.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<TResult>

A new Tensor with the same layout as this tensor of specified dimensions with elements of TResult type initialized to their default value.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
TResult

Type contained within the new Tensor. Typically a value type such as int, double, float, etc.

+
+ + + +

Compare(Tensor<T>, Tensor<T>)

+

Performs a value comparison of the content and shape of two tensors. Two tensors are equal if they have the same shape and same value at every set of indices. If not equal a tensor is greater or less than another tensor based on the first non-equal element when enumerating in linear order.

+
+
+
Declaration
+
+ 
public static int Compare(Tensor<T> left, Tensor<T> right)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Tensor<T>left
Tensor<T>right
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Int32
+ + + +

Contains(T)

+

Determines whether an element is in the Tensor<T>.

+
+
+
Declaration
+
+ 
protected virtual bool Contains(T item)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Titem

The object to locate in the Tensor<T>. The value can be null for reference types.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if item is found in the Tensor<T>; otherwise, false.

+
+ + + +

CopyTo(T[], Int32)

+

Copies the elements of the Tensor<T> to an Array, starting at a particular Array index.

+
+
+
Declaration
+
+ 
protected virtual void CopyTo(T[] array, int arrayIndex)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
T[]array

The one-dimensional Array that is the destination of the elements copied from Tensor<T>. The Array must have zero-based indexing.

+
System.Int32arrayIndex

The zero-based index in array at which copying begins.

+
+ + + +

Equals(Tensor<T>, Tensor<T>)

+

Performs a value equality comparison of the content of two tensors. Two tensors are equal if they have the same shape and same value at every set of indices.

+
+
+
Declaration
+
+ 
public static bool Equals(Tensor<T> left, Tensor<T> right)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Tensor<T>left
Tensor<T>right
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean
+ + + +

Fill(T)

+

Sets all elements in Tensor to value.

+
+
+
Declaration
+
+ 
public virtual void Fill(T value)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Tvalue

Value to fill

+
+ + + +

GetArrayString(Boolean)

+

Get a string representation of Tensor

+
+
+
Declaration
+
+ 
public string GetArrayString(bool includeWhitespace = true)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.BooleanincludeWhitespace
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.String
+ + + +

GetDiagonal()

+

Gets the n-1 dimension diagonal from the n dimension tensor.

+
+
+
Declaration
+
+ 
public Tensor<T> GetDiagonal()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

An n-1 dimension tensor with the values from the main diagonal of this tensor.

+
+ + + +

GetDiagonal(Int32)

+

Gets the n-1 dimension diagonal from the n dimension tensor at the specified offset from center.

+
+
+
Declaration
+
+ 
public Tensor<T> GetDiagonal(int offset)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32offset

Offset of diagonal to set in returned tensor. 0 for the main diagonal, less than zero for diagonals below, greater than zero from diagonals above.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

An n-1 dimension tensor with the values from the specified diagonal of this tensor.

+
+ + + +

GetTriangle()

+

Gets a tensor representing the elements below and including the diagonal, with the rest of the elements zero-ed.

+
+
+
Declaration
+
+ 
public Tensor<T> GetTriangle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A tensor with the values from this tensor at and below the main diagonal and zeros elsewhere.

+
+ + + +

GetTriangle(Int32)

+

Gets a tensor representing the elements below and including the specified diagonal, with the rest of the elements zero-ed.

+
+
+
Declaration
+
+ 
public Tensor<T> GetTriangle(int offset)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32offset

Offset of diagonal to set in returned tensor. 0 for the main diagonal, less than zero for diagonals below, greater than zero from diagonals above.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A tensor with the values from this tensor at and below the specified diagonal and zeros elsewhere.

+
+ + + +

GetTriangle(Int32, Boolean)

+

Implementation method for GetTriangle, GetLowerTriangle, GetUpperTriangle

+
+
+
Declaration
+
+ 
public Tensor<T> GetTriangle(int offset, bool upper)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32offset

Offset of diagonal to set in returned tensor.

+
System.Booleanupper

true for upper triangular and false otherwise

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>
+ + + +

GetUpperTriangle()

+

Gets a tensor representing the elements above and including the diagonal, with the rest of the elements zero-ed.

+
+
+
Declaration
+
+ 
public Tensor<T> GetUpperTriangle()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A tensor with the values from this tensor at and above the main diagonal and zeros elsewhere.

+
+ + + +

GetUpperTriangle(Int32)

+

Gets a tensor representing the elements above and including the specified diagonal, with the rest of the elements zero-ed.

+
+
+
Declaration
+
+ 
public Tensor<T> GetUpperTriangle(int offset)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32offset

Offset of diagonal to set in returned tensor. 0 for the main diagonal, less than zero for diagonals below, greater than zero from diagonals above.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A tensor with the values from this tensor at and above the specified diagonal and zeros elsewhere.

+
+ + + +

GetValue(Int32)

+

Gets the value at the specied index, where index is a linearized version of n-dimension indices using strides.

+
+
+
Declaration
+
+ 
public abstract T GetValue(int index)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32index

An integer index computed as a dot-product of indices.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
T

The value at the specified position in this Tensor.

+
+ + + +

IndexOf(T)

+

Determines the index of a specific item in the Tensor<T>.

+
+
+
Declaration
+
+ 
protected virtual int IndexOf(T item)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Titem

The object to locate in the Tensor<T>.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

The index of item if found in the tensor; otherwise, -1.

+
+ + + +

Reshape(ReadOnlySpan<Int32>)

+

Reshapes the current tensor to new dimensions, using the same backing storage if possible.

+
+
+
Declaration
+
+ 
public abstract Tensor<T> Reshape(ReadOnlySpan<int> dimensions)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
ReadOnlySpan<System.Int32>dimensions

An span of integers that represent the size of each dimension of the Tensor to create.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A new tensor that reinterprets this tensor with different dimensions.

+
+ + + +

SetValue(Int32, T)

+

Sets the value at the specied index, where index is a linearized version of n-dimension indices using strides.

+
+
+
Declaration
+
+ 
public abstract void SetValue(int index, T value)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32index

An integer index computed as a dot-product of indices.

+
Tvalue

The new value to set at the specified position in this Tensor.

+
+ + + +

ToDenseTensor()

+

Creates a copy of this tensor as a DenseTensor<T>. If this tensor is already a DenseTensor<T> calling this method is equivalent to calling Clone().

+
+
+
Declaration
+
+ 
public virtual DenseTensor<T> ToDenseTensor()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
DenseTensor<T>
+

Implements

+
+ IList +
+
+ IList<> +
+
+ IReadOnlyList<> +
+
+ IStructuralComparable +
+
+ IStructuralEquatable +
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Tensor.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Tensor.html new file mode 100644 index 0000000000000..81b447bd2ca78 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.Tensor.html @@ -0,0 +1,486 @@ + + + + + + + + Class Tensor + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class Tensor +

+

Various methods for creating and manipulating Tensor<T>

+
+
+
+
Inheritance
+
System.Object
+
Tensor
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public static class Tensor
+
+

Methods +

+ + + +

CreateFromDiagonal<T>(Tensor<T>)

+

Creates a n+1-rank tensor using the specified n-rank diagonal. Values not on the diagonal will be filled with zeros.

+
+
+
Declaration
+
+ 
public static Tensor<T> CreateFromDiagonal<T>(Tensor<T> diagonal)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Tensor<T>diagonal

Tensor representing the diagonal to build the new tensor from.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A new tensor of the same layout and order as diagonal of one higher rank, with the values of diagonal along the diagonal and zeros elsewhere.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

type contained within the Tensor. Typically a value type such as int, double, float, etc.

+
+ + + +

CreateFromDiagonal<T>(Tensor<T>, Int32)

+

Creates a n+1-dimension tensor using the specified n-dimension diagonal at the specified offset +from the center. Values not on the diagonal will be filled with zeros.

+
+
+
Declaration
+
+ 
public static Tensor<T> CreateFromDiagonal<T>(Tensor<T> diagonal, int offset)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Tensor<T>diagonal

Tensor representing the diagonal to build the new tensor from.

+
System.Int32offset

Offset of diagonal to set in returned tensor. 0 for the main diagonal, +less than zero for diagonals below, greater than zero from diagonals above.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

A new tensor of the same layout and order as diagonal of one higher rank, +with the values of diagonal along the specified diagonal and zeros elsewhere.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

type contained within the Tensor. Typically a value type such as int, double, float, etc.

+
+ + + +

CreateIdentity<T>(Int32)

+

Creates an identity tensor of the specified size. An identity tensor is a two dimensional tensor with 1s in the diagonal.

+
+
+
Declaration
+
+ 
public static Tensor<T> CreateIdentity<T>(int size)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32size

Width and height of the identity tensor to create.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

a size by size with 1s along the diagonal and zeros elsewhere.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

type contained within the Tensor. Typically a value type such as int, double, float, etc.

+
+ + + +

CreateIdentity<T>(Int32, Boolean)

+

Creates 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.

+
+
+
Declaration
+
+ 
public static Tensor<T> CreateIdentity<T>(int size, bool columMajor)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32size

Width and height of the identity tensor to create.

+
System.BooleancolumMajor
+

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.

+
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

a size by size with 1s along the diagonal and zeros elsewhere.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

type contained within the Tensor. Typically a value type such as int, double, float, etc.

+
+ + + +

CreateIdentity<T>(Int32, Boolean, T)

+

Creates 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't have a known 1 value.

+
+
+
Declaration
+
+ 
public static Tensor<T> CreateIdentity<T>(int size, bool columMajor, T oneValue)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
System.Int32size

Width and height of the identity tensor to create.

+
System.BooleancolumMajor
+

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.

+
+
ToneValue

Value of T that is used along the diagonal.

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
Tensor<T>

a size by size with 1s along the diagonal and zeros elsewhere.

+
+
Type Parameters
+ + + + + + + + + + + + + +
NameDescription
T

type contained within the Tensor. Typically a value type such as int, double, float, etc.

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorBase.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorBase.html new file mode 100644 index 0000000000000..c8fffe95e68d5 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorBase.html @@ -0,0 +1,297 @@ + + + + + + + + Class TensorBase + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class TensorBase +

+

This class is a base for all Tensors. It hosts maps with type traits.

+
+
+
+
Inheritance
+
System.Object
+
TensorBase
+
Tensor<T>
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class TensorBase
+
+

Constructors +

+ + + +

TensorBase(Type)

+

Constructs TensorBae

+
+
+
Declaration
+
+ 
protected TensorBase(Type primitiveType)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
TypeprimitiveType

primitive type the deriving class is using

+
+

Methods +

+ + + +

GetElementTypeInfo(TensorElementType)

+

Query TensorElementTypeInfo by enum

+
+
+
Declaration
+
+ 
public static TensorElementTypeInfo GetElementTypeInfo(TensorElementType elementType)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
TensorElementTypeelementType

type enum

+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
TensorElementTypeInfo

instance of TensorElementTypeInfo or null if not found

+
+ + + +

GetTypeInfo()

+

Query TensorTypeInfo using this Tensor type

+
+
+
Declaration
+
+ 
public TensorTypeInfo GetTypeInfo()
+
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
TensorTypeInfo
+ + + +

GetTypeInfo(Type)

+

Query TensorTypeInfo by one of the supported types

+
+
+
Declaration
+
+ 
public static TensorTypeInfo GetTypeInfo(Type type)
+
+
Parameters
+ + + + + + + + + + + + + + + +
TypeNameDescription
Typetype
+
Returns
+ + + + + + + + + + + + + +
TypeDescription
TensorTypeInfo

TensorTypeInfo or null if not supported

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorElementType.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorElementType.html new file mode 100644 index 0000000000000..de55ce9bf5ae6 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorElementType.html @@ -0,0 +1,199 @@ + + + + + + + + Enum TensorElementType + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Enum TensorElementType +

+

Supported Tensor DataType

+
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public enum TensorElementType
+
+

Fields +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescription
BFloat16
Bool
Complex128
Complex64
DataTypeMax
Double
Float
Float16
Int16
Int32
Int64
Int8
String
UInt16
UInt32
UInt64
UInt8
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorElementTypeInfo.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorElementTypeInfo.html new file mode 100644 index 0000000000000..dbe2b9b0c8a27 --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorElementTypeInfo.html @@ -0,0 +1,268 @@ + + + + + + + + Class TensorElementTypeInfo + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class TensorElementTypeInfo +

+

Holds TensorElement traits

+
+
+
+
Inheritance
+
System.Object
+
TensorElementTypeInfo
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class TensorElementTypeInfo
+
+

Constructors +

+ + + +

TensorElementTypeInfo(Type, Int32)

+

Ctor

+
+
+
Declaration
+
+ 
public TensorElementTypeInfo(Type type, int typeSize)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
Typetype

Tensor element type

+
System.Int32typeSize

typesize

+
+

Properties +

+ + + +

IsString

+

Is the type is a string

+
+
+
Declaration
+
+ 
public bool IsString { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if Tensor element type is a string

+
+ + + +

TensorType

+

Tensor element type

+
+
+
Declaration
+
+ 
public Type TensorType { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
Type

System.Type

+
+ + + +

TypeSize

+

Size of the stored primitive type in bytes

+
+
+
Declaration
+
+ 
public int TypeSize { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

size in bytes

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorTypeInfo.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorTypeInfo.html new file mode 100644 index 0000000000000..39e57d27d2b6c --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.TensorTypeInfo.html @@ -0,0 +1,268 @@ + + + + + + + + Class TensorTypeInfo + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ + +

Class TensorTypeInfo +

+

Helps typecasting. Holds Tensor element type traits.

+
+
+
+
Inheritance
+
System.Object
+
TensorTypeInfo
+
+
+
Inherited Members
+
+ System.Object.ToString() +
+
+ System.Object.Equals(System.Object) +
+
+ System.Object.Equals(System.Object, System.Object) +
+
+ System.Object.ReferenceEquals(System.Object, System.Object) +
+
+ System.Object.GetHashCode() +
+
+ System.Object.GetType() +
+
+ System.Object.MemberwiseClone() +
+
+
Namespace: Microsoft.ML.OnnxRuntime.Tensors
+
Assembly: cs.temp.dll.dll
+
Syntax
+
+ 
public class TensorTypeInfo
+
+

Constructors +

+ + + +

TensorTypeInfo(TensorElementType, Int32)

+

Ctor

+
+
+
Declaration
+
+ 
public TensorTypeInfo(TensorElementType elementType, int typeSize)
+
+
Parameters
+ + + + + + + + + + + + + + + + + + + + +
TypeNameDescription
TensorElementTypeelementType

TensorElementType value

+
System.Int32typeSize

size fo the type in bytes

+
+

Properties +

+ + + +

ElementType

+

TensorElementType enum

+
+
+
Declaration
+
+ 
public TensorElementType ElementType { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
TensorElementType

type enum value

+
+ + + +

IsString

+

Is the type is a string

+
+
+
Declaration
+
+ 
public bool IsString { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Boolean

true if Tensor element type is a string

+
+ + + +

TypeSize

+

Size of the stored primitive type in bytes

+
+
+
Declaration
+
+ 
public int TypeSize { get; }
+
+
Property Value
+ + + + + + + + + + + + + +
TypeDescription
System.Int32

size in bytes

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.html new file mode 100644 index 0000000000000..2ec6790252ecc --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.Tensors.html @@ -0,0 +1,158 @@ + + + + + + + + Namespace Microsoft.ML.OnnxRuntime.Tensors + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ +

Namespace Microsoft.ML.OnnxRuntime.Tensors +

+
+
+
+

Classes +

+

ArrayTensorExtensions

+
+

DenseTensor<T>

+

Represents a multi-dimensional collection of objects of type T that can be accessed by indices.
+DenseTensor stores values in a contiguous sequential block of memory where all values are represented.

+
+

Tensor

+

Various methods for creating and manipulating Tensor<T>

+
+

Tensor<T>

+

Represents a multi-dimensional collection of objects of type T that can be accessed by indices.

+
+

TensorBase

+

This class is a base for all Tensors. It hosts maps with type traits.

+
+

TensorElementTypeInfo

+

Holds TensorElement traits

+
+

TensorTypeInfo

+

Helps typecasting. Holds Tensor element type traits.

+
+

Structs +

+

BFloat16

+

This value type represents A BFloat16 value +it is blittable as defined in https://docs.microsoft.com/en-us/dotnet/framework/interop/blittable-and-non-blittable-types +and as such, represented the same way in managed and native memories. This means that arrays of this type +do not have to be copied to be passed to native memory but simply pinnned and read by native code. Thus, +one can create a Tensor on top of an array of these structures and feed it directly to Onnxruntime library. +Binary wise, it is the same as ushort[] (uint16_t in C++). However, we would like a separate type for type dispatching.

+
+

Float16

+

This value type represents A Float16 value +it is blittable as defined in https://docs.microsoft.com/en-us/dotnet/framework/interop/blittable-and-non-blittable-types +and as such, represented the same way in managed and native memories. This means that arrays of this type +do not have to be copied to be passed to native memory but simply pinnned and read by native code. Thus, +one can create a Tensor on top of an array of these structures and feed it directly to Onnxruntime library. +Binary wise, it is the same as ushort[] (uint16_t in C++). However, we would like a separate type for type dispatching.

+
+

Enums +

+

TensorElementType

+

Supported Tensor DataType

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.html b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.html new file mode 100644 index 0000000000000..e6fd8ffc103ac --- /dev/null +++ b/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.html @@ -0,0 +1,277 @@ + + + + + + + + Namespace Microsoft.ML.OnnxRuntime + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+
+ +

Namespace Microsoft.ML.OnnxRuntime +

+
+
+
+

Classes +

+

DisposableNamedOnnxValue

+

This class serves as a container for model run output values including +tensors, sequences of tensors, sequences and maps. +It extends NamedOnnxValue, exposes the OnnxValueType and Tensor type +The class must be disposed of. +It disposes of _ortValueHolder that owns the underlying Ort output value and +anything else that would need to be disposed by the instance of the class. +Use factory method CreateFromOrtValue to obtain an instance of the class.

+
+

FixedBufferOnnxValue

+

Represents an OrtValue with its underlying buffer pinned

+
+

InferenceSession

+

Represents an Inference Session on an ONNX Model. +This is a IDisposable class and it must be disposed of +using either a explicit call to Dispose() method or +a pattern of using() block. If this is a member of another +class that class must also become IDisposable and it must +dispose of InferfenceSession in its Dispose() method.

+
+

ModelMetadata

+

A class that queries and caches model metadata and exposes +it as properties

+
+

NamedOnnxValue

+
+

NodeMetadata

+

Resembles type and shape information of session-graph nodes, used for communicating the shape/type of input/output nodes

+
+

OnnxRuntimeException

+

The Exception that is thrown for errors related ton OnnxRuntime

+
+

OrtAllocator

+

The class exposes native internal allocator for Onnxruntime. +This allocator enables you to allocate memory from the internal +memory pools including device allocations. Useful for binding.

+
+

OrtArenaCfg

+

This class encapsulates arena configuration information that will be used to define the behavior +of an arena based allocator +See docs/C_API.md for more details

+
+

OrtCUDAProviderOptions

+

Holds the options for configuring a CUDA Execution Provider instance

+
+

OrtEnv

+

This class initializes the process-global ONNX Runtime environment instance (OrtEnv)

+
+

OrtExternalAllocation

+

This class represents an arbitrary buffer of memory +allocated and owned by the user. It can be either a CPU, GPU or other device memory +that can be suitably represented by IntPtr. +This is just a composite of the buffer related information. +The memory is assumed to be pinned if necessary and usable immediately +in the native code.

+
+

OrtIoBinding

+

This class enables binding of inputs and/or outputs to pre-allocated +memory. This enables interesting scenarios. For example, if your input +already resides in some pre-allocated memory like GPU, you can bind +that piece of memory to an input name and shape and onnxruntime will use that as input. +Other traditional inputs can also be bound that already exists as Tensors.

+

Note, that this arrangement is designed to minimize data copies and to that effect +your memory allocations must match what is expected by the model, whether you run on +CPU or GPU. Data copy will still be made, if your pre-allocated memory location does not +match the one expected by the model. However, copies with OrtIoBindings are only done once, +at the time of the binding, not at run time. This means, that if your input data required a copy, +your further input modifications would not be seen by onnxruntime unless you rebind it, even if it is +the same buffer. If you require the scenario where data is copied, OrtIOBinding may not be the best match +for your use case.

+

The fact that data copy is not made during runtime also has performance implications.

+
+

OrtMemoryAllocation

+

This class represents memory allocation made by a specific onnxruntime +allocator. Use OrtAllocator.Allocate() to obtain an instance of this class. +It implements IDisposable and makes use of the original allocator +used to allocate the memory. The lifespan of the allocator instance must eclipse the +lifespan of the allocation. Or, if you prefer, all OrtMemoryAllocation instances must be +disposed of before the corresponding allocator instances are disposed of.

+
+

OrtMemoryInfo

+

This class encapsulates and most of the time owns the underlying native OrtMemoryInfo instance. +Instance returned from OrtAllocator will not own OrtMemoryInfo, the class must be disposed +regardless.

+

Use this class to query and create OrtAllocator instances so you can pre-allocate memory for model +inputs/outputs and use it for binding. Instances of the class can also used to created OrtValues bound +to pre-allocated memory. In that case, the instance of OrtMemoryInfo contains the information about the allocator +used to allocate the underlying memory.

+
+

OrtTensorRTProviderOptions

+

Holds the options for configuring a TensorRT Execution Provider instance

+
+

OrtValue

+

Represents a disposable OrtValue. +This class exposes a native instance of OrtValue. +The class implements IDisposable via SafeHandle and must +be disposed.

+
+

PrePackedWeightsContainer

+

This class holds pre-packed weights of shared initializers to be shared across sessions using these initializers +and thereby provide memory savings by sharing the same pre-packed versions of these shared initializers

+
+

ProviderOptionsValueHelper

+

This helper class contains methods to handle values of provider options

+
+

RunOptions

+

Sets various runtime options.

+
+

SessionOptions

+

Holds the options for creating an InferenceSession

+
+

SessionOptionsContainer

+

Helper to allow the creation/addition of session options based on pre-defined named entries.

+
+

Structs +

+

OrtApi

+
+

OrtApiBase

+
+

Interfaces +

+

IDisposableReadOnlyCollection<T>

+
+

Enums +

+

CoreMLFlags

+

CoreML flags for use with SessionOptions

+
+

ExecutionMode

+

Controls whether you want to execute operators in the graph sequentially or in parallel. +Usually when the model has many branches, setting this option to ExecutionMode.ORT_PARALLEL +will give you better performance. +See [ONNX_Runtime_Perf_Tuning.md] for more details.

+
+

GraphOptimizationLevel

+

Graph optimization level to use with SessionOptions +[https://github.com/microsoft/onnxruntime/blob/main/docs/ONNX_Runtime_Graph_Optimizations.md]

+
+

LogLevel

+

Logging level used to specify amount of logging when +creating environment. The lower the value is the more logging +will be output. A specific value output includes everything +that higher values output.

+
+

NnapiFlags

+

NNAPI flags for use with SessionOptions

+
+

OnnxValueType

+

A type of data that OrtValue encapsulates.

+
+

OrtAllocatorType

+

See documentation for OrtAllocatorType in C API

+
+

OrtLanguageProjection

+

Language projection property for telemetry event for tracking the source usage of ONNXRUNTIME

+
+

OrtLoggingLevel

+

Log severity levels

+
+

OrtMemType

+

See documentation for OrtMemType in C API

+
+
+
+ + +
+
+ + +
+ + + + + + diff --git a/docs/api/csharp/api/index.html b/docs/api/csharp/api/index.html new file mode 100644 index 0000000000000..47c390e84deb9 --- /dev/null +++ b/docs/api/csharp/api/index.html @@ -0,0 +1,111 @@ + + + + + + + + ONNX Runtime C# API Documentation + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+ +
+ +
+
+
+
+
+
+ +
+ + +
+
+ + +
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+ font-family:'Glyphicons Halflings'; + line-height:1; + -webkit-font-smoothing:antialiased; + -moz-osx-font-smoothing:grayscale; + margin-right: 5px; + font-weight: normal; +} + +.alert-info h5:before { + content:"\e086" +} + +.alert-warning h5:before { + content:"\e127" +} + +.alert-danger h5:before { + content:"\e107" +} + +/* For Embedded Video */ +div.embeddedvideo { + padding-top: 56.25%; + position: relative; + width: 100%; +} + +div.embeddedvideo iframe { + position: absolute; + top: 0; + left: 0; + right: 0; + bottom: 0; + width: 100%; + height: 100%; +} + +/* For printer */ +@media print{ + .article.grid-right { + margin-top: 0px; + margin-left: 0px; + } + .sideaffix { + display: none; + } + .mobile-hide { + display: none; + } + .footer { + display: none; + } +} + +/* For tabbed content */ + +.tabGroup { + margin-top: 1rem; } + .tabGroup ul[role="tablist"] { + margin: 0; + padding: 0; + list-style: none; } + .tabGroup ul[role="tablist"] > li { + list-style: none; + display: inline-block; } + .tabGroup a[role="tab"] { + color: #6e6e6e; + box-sizing: border-box; + display: inline-block; + padding: 5px 7.5px; + text-decoration: none; + border-bottom: 2px solid #fff; } + .tabGroup a[role="tab"]:hover, .tabGroup a[role="tab"]:focus, .tabGroup a[role="tab"][aria-selected="true"] { + border-bottom: 2px solid #0050C5; } + .tabGroup a[role="tab"][aria-selected="true"] { + color: #222; } + .tabGroup a[role="tab"]:hover, .tabGroup a[role="tab"]:focus { + color: #0050C5; } + .tabGroup a[role="tab"]:focus { + outline: 1px solid #0050C5; + outline-offset: -1px; } + @media (min-width: 768px) { + .tabGroup a[role="tab"] { + padding: 5px 15px; } } + .tabGroup section[role="tabpanel"] { + border: 1px solid #e0e0e0; + padding: 15px; + margin: 0; + overflow: hidden; } + .tabGroup section[role="tabpanel"] > .codeHeader, + .tabGroup section[role="tabpanel"] > pre { + margin-left: -16px; + margin-right: -16px; } + .tabGroup section[role="tabpanel"] > :first-child { + margin-top: 0; } + .tabGroup section[role="tabpanel"] > pre:last-child { + display: block; + margin-bottom: -16px; } + +.mainContainer[dir='rtl'] main ul[role="tablist"] { + margin: 0; } + +/* Color theme */ + +/* These are not important, tune down **/ +.decalaration, .fieldValue, .parameters, .returns { + color: #a2a2a2; +} + +/* Major sections, increase visibility **/ +#fields, #properties, #methods, #events { + font-weight: bold; + margin-top: 2em; +} diff --git a/docs/api/csharp/styles/docfx.js b/docs/api/csharp/styles/docfx.js new file mode 100644 index 0000000000000..b6167dbd6193d --- /dev/null +++ b/docs/api/csharp/styles/docfx.js @@ -0,0 +1,1160 @@ +// Copyright (c) Microsoft. All rights reserved. Licensed under the MIT license. See LICENSE file in the project root for full license information. +$(function () { + var active = 'active'; + var expanded = 'in'; + var collapsed = 'collapsed'; + var filtered = 'filtered'; + var show = 'show'; + var hide = 'hide'; + var util = new utility(); + + workAroundFixedHeaderForAnchors(); + highlight(); + enableSearch(); + + renderTables(); + renderAlerts(); + renderLinks(); + renderNavbar(); + renderSidebar(); + renderAffix(); + renderFooter(); + renderLogo(); + + breakText(); + renderTabs(); + + window.refresh = function (article) { + // Update markup result + if (typeof article == 'undefined' || typeof article.content == 'undefined') + console.error("Null Argument"); + $("article.content").html(article.content); + + highlight(); + renderTables(); + renderAlerts(); + renderAffix(); + renderTabs(); + } + + // Add this event listener when needed + // window.addEventListener('content-update', contentUpdate); + + function breakText() { + $(".xref").addClass("text-break"); + var texts = $(".text-break"); + texts.each(function () { + $(this).breakWord(); + }); + } + + // Styling for tables in conceptual documents using Bootstrap. + // See http://getbootstrap.com/css/#tables + function renderTables() { + $('table').addClass('table table-bordered table-striped table-condensed').wrap('
'); + } + + // Styling for alerts. + function renderAlerts() { + $('.NOTE, .TIP').addClass('alert alert-info'); + $('.WARNING').addClass('alert alert-warning'); + $('.IMPORTANT, .CAUTION').addClass('alert alert-danger'); + } + + // Enable anchors for headings. + (function () { + anchors.options = { + placement: 'left', + visible: 'hover' + }; + anchors.add('article h2:not(.no-anchor), article h3:not(.no-anchor), article h4:not(.no-anchor)'); + })(); + + // Open links to different host in a new window. + function renderLinks() { + if ($("meta[property='docfx:newtab']").attr("content") === "true") { + $(document.links).filter(function () { + return this.hostname !== window.location.hostname; + }).attr('target', '_blank'); + } + } + + // Enable highlight.js + function highlight() { + $('pre code').each(function (i, block) { + hljs.highlightBlock(block); + }); + $('pre code[highlight-lines]').each(function (i, block) { + if (block.innerHTML === "") return; + var lines = block.innerHTML.split('\n'); + + let queryString = block.getAttribute('highlight-lines'); + if (!queryString) return; + + var ranges = queryString.split(','); + for (var j = 0, range; range = ranges[j++];) { + var found = range.match(/^(\d+)\-(\d+)?$/); + if (found) { + // consider region as `{startlinenumber}-{endlinenumber}`, in which {endlinenumber} is optional + var start = +found[1]; + var end = +found[2]; + if (isNaN(end) || end > lines.length) { + end = lines.length; + } + } else { + // consider region as a sigine line number + if (isNaN(range)) continue; + var start = +range; + var end = start; + } + if (start <= 0 || end <= 0 || start > end || start > lines.length) { + // skip current region if invalid + continue; + } + lines[start - 1] = '' + lines[start - 1]; + lines[end - 1] = lines[end - 1] + ''; + } + + block.innerHTML = lines.join('\n'); + }); + } + + // Support full-text-search + function enableSearch() { + var query; + var relHref = $("meta[property='docfx\\:rel']").attr("content"); + if (typeof relHref === 'undefined') { + return; + } + try { + var worker = new Worker(relHref + 'styles/search-worker.js'); + webWorkerSearch(); + + renderSearchBox(); + highlightKeywords(); + addSearchEvent(); + } catch (e) { + console.error(e); + } + + //Adjust the position of search box in navbar + function renderSearchBox() { + autoCollapse(); + $(window).on('resize', autoCollapse); + $(document).on('click', '.navbar-collapse.in', function (e) { + if ($(e.target).is('a')) { + $(this).collapse('hide'); + } + }); + + function autoCollapse() { + var navbar = $('#autocollapse'); + if (navbar.height() === null) { + setTimeout(autoCollapse, 300); + } + navbar.removeClass(collapsed); + if (navbar.height() > 60) { + navbar.addClass(collapsed); + } + } + } + + function webWorkerSearch() { + console.log("using Web Worker"); + var indexReady = $.Deferred(); + + worker.onmessage = function (oEvent) { + switch (oEvent.data.e) { + case 'index-ready': + indexReady.resolve(); + break; + case 'query-ready': + var hits = oEvent.data.d; + handleSearchResults(hits); + break; + } + } + + indexReady.promise().done(function () { + $("body").bind("queryReady", function () { + worker.postMessage({ q: query }); + }); + if (query && (query.length >= 3)) { + worker.postMessage({ q: query }); + } + }); + } + + // Highlight the searching keywords + function highlightKeywords() { + var q = url('?q'); + if (q) { + var keywords = q.split("%20"); + keywords.forEach(function (keyword) { + if (keyword !== "") { + $('.data-searchable *').mark(keyword); + $('article *').mark(keyword); + } + }); + } + } + + function addSearchEvent() { + $('body').bind("searchEvent", function () { + $('#search-query').keypress(function (e) { + return e.which !== 13; + }); + + $('#search-query').keyup(function () { + query = $(this).val(); + if (query.length < 3) { + flipContents("show"); + } else { + flipContents("hide"); + $("body").trigger("queryReady"); + $('#search-results>.search-list>span').text('"' + query + '"'); + } + }).off("keydown"); + }); + } + + function flipContents(action) { + if (action === "show") { + $('.hide-when-search').show(); + $('#search-results').hide(); + } else { + $('.hide-when-search').hide(); + $('#search-results').show(); + } + } + + function relativeUrlToAbsoluteUrl(currentUrl, relativeUrl) { + var currentItems = currentUrl.split(/\/+/); + var relativeItems = relativeUrl.split(/\/+/); + var depth = currentItems.length - 1; + var items = []; + for (var i = 0; i < relativeItems.length; i++) { + if (relativeItems[i] === '..') { + depth--; + } else if (relativeItems[i] !== '.') { + items.push(relativeItems[i]); + } + } + return currentItems.slice(0, depth).concat(items).join('/'); + } + + function extractContentBrief(content) { + var briefOffset = 512; + var words = query.split(/\s+/g); + var queryIndex = content.indexOf(words[0]); + if (queryIndex > briefOffset) { + return "..." + content.slice(queryIndex - briefOffset, queryIndex + briefOffset) + "..."; + } else if (queryIndex <= briefOffset) { + return content.slice(0, queryIndex + briefOffset) + "..."; + } + } + + function handleSearchResults(hits) { + var numPerPage = 10; + var pagination = $('#pagination'); + pagination.empty(); + pagination.removeData("twbs-pagination"); + if (hits.length === 0) { + $('#search-results>.sr-items').html('

No results found

'); + } else { + pagination.twbsPagination({ + first: pagination.data('first'), + prev: pagination.data('prev'), + next: pagination.data('next'), + last: pagination.data('last'), + totalPages: Math.ceil(hits.length / numPerPage), + visiblePages: 5, + onPageClick: function (event, page) { + var start = (page - 1) * numPerPage; + var curHits = hits.slice(start, start + numPerPage); + $('#search-results>.sr-items').empty().append( + curHits.map(function (hit) { + var currentUrl = window.location.href; + var itemRawHref = relativeUrlToAbsoluteUrl(currentUrl, relHref + hit.href); + var itemTitle = hit.title; + var itemBrief = extractContentBrief(hit.keywords); + + var itemNode = $('
').attr('class', 'sr-item'); + var itemTitleNode = $('
').attr('class', 'item-title').append($('').attr('href', 'itemHref').attr("target", "_blank").attr("rel", "noopener noreferrer").text(itemTitle)); + var itemHrefNode = $('
').attr('class', 'item-href').text(itemRawHref); + var itemBriefNode = $('
').attr('class', 'item-brief').text(itemBrief); + itemNode.append(itemTitleNode).append(itemHrefNode).append(itemBriefNode); + return itemNode; + }) + ); + query.split(/\s+/).forEach(function (word) { + if (word !== '') { + $('#search-results>.sr-items *').mark(word); + } + }); + } + }); + } + } + }; + + // Update href in navbar + function renderNavbar() { + var navbar = $('#navbar ul')[0]; + if (typeof (navbar) === 'undefined') { + loadNavbar(); + } else { + $('#navbar ul a.active').parents('li').addClass(active); + renderBreadcrumb(); + showSearch(); + } + + function showSearch() { + if ($('#search-results').length !== 0) { + $('#search').show(); + $('body').trigger("searchEvent"); + } + } + + function loadNavbar() { + var navbarPath = $("meta[property='docfx\\:navrel']").attr("content"); + if (!navbarPath) { + return; + } + navbarPath = navbarPath.replace(/\\/g, '/'); + var tocPath = $("meta[property='docfx\\:tocrel']").attr("content") || ''; + if (tocPath) tocPath = tocPath.replace(/\\/g, '/'); + $.get(navbarPath, function (data) { + $(data).find("#toc>ul").appendTo("#navbar"); + showSearch(); + var index = navbarPath.lastIndexOf('/'); + var navrel = ''; + if (index > -1) { + navrel = navbarPath.substr(0, index + 1); + } + $('#navbar>ul').addClass('navbar-nav'); + var currentAbsPath = util.getCurrentWindowAbsolutePath(); + // set active item + $('#navbar').find('a[href]').each(function (i, e) { + var href = $(e).attr("href"); + if (util.isRelativePath(href)) { + href = navrel + href; + $(e).attr("href", href); + + var isActive = false; + var originalHref = e.name; + if (originalHref) { + originalHref = navrel + originalHref; + if (util.getDirectory(util.getAbsolutePath(originalHref)) === util.getDirectory(util.getAbsolutePath(tocPath))) { + isActive = true; + } + } else { + if (util.getAbsolutePath(href) === currentAbsPath) { + var dropdown = $(e).attr('data-toggle') == "dropdown" + if (!dropdown) { + isActive = true; + } + } + } + if (isActive) { + $(e).addClass(active); + } + } + }); + renderNavbar(); + }); + } + } + + function renderSidebar() { + var sidetoc = $('#sidetoggle .sidetoc')[0]; + if (typeof (sidetoc) === 'undefined') { + loadToc(); + } else { + registerTocEvents(); + if ($('footer').is(':visible')) { + $('.sidetoc').addClass('shiftup'); + } + + // Scroll to active item + var top = 0; + $('#toc a.active').parents('li').each(function (i, e) { + $(e).addClass(active).addClass(expanded); + $(e).children('a').addClass(active); + }) + $('#toc a.active').parents('li').each(function (i, e) { + top += $(e).position().top; + }) + $('.sidetoc').scrollTop(top - 50); + + if ($('footer').is(':visible')) { + $('.sidetoc').addClass('shiftup'); + } + + renderBreadcrumb(); + } + + function registerTocEvents() { + var tocFilterInput = $('#toc_filter_input'); + var tocFilterClearButton = $('#toc_filter_clear'); + + $('.toc .nav > li > .expand-stub').click(function (e) { + $(e.target).parent().toggleClass(expanded); + }); + $('.toc .nav > li > .expand-stub + a:not([href])').click(function (e) { + $(e.target).parent().toggleClass(expanded); + }); + tocFilterInput.on('input', function (e) { + var val = this.value; + //Save filter string to local session storage + if (typeof(Storage) !== "undefined") { + try { + sessionStorage.filterString = val; + } + catch(e) + {} + } + if (val === '') { + // Clear 'filtered' class + $('#toc li').removeClass(filtered).removeClass(hide); + tocFilterClearButton.fadeOut(); + return; + } + tocFilterClearButton.fadeIn(); + + // set all parent nodes status + $('#toc li>a').filter(function (i, e) { + return $(e).siblings().length > 0 + }).each(function (i, anchor) { + var parent = $(anchor).parent(); + parent.addClass(hide); + parent.removeClass(show); + parent.removeClass(filtered); + }) + + // Get leaf nodes + $('#toc li>a').filter(function (i, e) { + return $(e).siblings().length === 0 + }).each(function (i, anchor) { + var text = $(anchor).attr('title'); + var parent = $(anchor).parent(); + var parentNodes = parent.parents('ul>li'); + for (var i = 0; i < parentNodes.length; i++) { + var parentText = $(parentNodes[i]).children('a').attr('title'); + if (parentText) text = parentText + '.' + text; + }; + if (filterNavItem(text, val)) { + parent.addClass(show); + parent.removeClass(hide); + } else { + parent.addClass(hide); + parent.removeClass(show); + } + }); + $('#toc li>a').filter(function (i, e) { + return $(e).siblings().length > 0 + }).each(function (i, anchor) { + var parent = $(anchor).parent(); + if (parent.find('li.show').length > 0) { + parent.addClass(show); + parent.addClass(filtered); + parent.removeClass(hide); + } else { + parent.addClass(hide); + parent.removeClass(show); + parent.removeClass(filtered); + } + }) + + function filterNavItem(name, text) { + if (!text) return true; + if (name && name.toLowerCase().indexOf(text.toLowerCase()) > -1) return true; + return false; + } + }); + + // toc filter clear button + tocFilterClearButton.hide(); + tocFilterClearButton.on("click", function(e){ + tocFilterInput.val(""); + tocFilterInput.trigger('input'); + if (typeof(Storage) !== "undefined") { + try { + sessionStorage.filterString = ""; + } + catch(e) + {} + } + }); + + //Set toc filter from local session storage on page load + if (typeof(Storage) !== "undefined") { + try { + tocFilterInput.val(sessionStorage.filterString); + tocFilterInput.trigger('input'); + } + catch(e) + {} + } + } + + function loadToc() { + var tocPath = $("meta[property='docfx\\:tocrel']").attr("content"); + if (!tocPath) { + return; + } + tocPath = tocPath.replace(/\\/g, '/'); + $('#sidetoc').load(tocPath + " #sidetoggle > div", function () { + var index = tocPath.lastIndexOf('/'); + var tocrel = ''; + if (index > -1) { + tocrel = tocPath.substr(0, index + 1); + } + var currentHref = util.getCurrentWindowAbsolutePath(); + if(!currentHref.endsWith('.html')) { + currentHref += '.html'; + } + $('#sidetoc').find('a[href]').each(function (i, e) { + var href = $(e).attr("href"); + if (util.isRelativePath(href)) { + href = tocrel + href; + $(e).attr("href", href); + } + + if (util.getAbsolutePath(e.href) === currentHref) { + $(e).addClass(active); + } + + $(e).breakWord(); + }); + + renderSidebar(); + }); + } + } + + function renderBreadcrumb() { + var breadcrumb = []; + $('#navbar a.active').each(function (i, e) { + breadcrumb.push({ + href: e.href, + name: e.innerHTML + }); + }) + $('#toc a.active').each(function (i, e) { + breadcrumb.push({ + href: e.href, + name: e.innerHTML + }); + }) + + var html = util.formList(breadcrumb, 'breadcrumb'); + $('#breadcrumb').html(html); + } + + //Setup Affix + function renderAffix() { + var hierarchy = getHierarchy(); + if (!hierarchy || hierarchy.length <= 0) { + $("#affix").hide(); + } + else { + var html = util.formList(hierarchy, ['nav', 'bs-docs-sidenav']); + $("#affix>div").empty().append(html); + if ($('footer').is(':visible')) { + $(".sideaffix").css("bottom", "70px"); + } + $('#affix a').click(function(e) { + var scrollspy = $('[data-spy="scroll"]').data()['bs.scrollspy']; + var target = e.target.hash; + if (scrollspy && target) { + scrollspy.activate(target); + } + }); + } + + function getHierarchy() { + // supported headers are h1, h2, h3, and h4 + var $headers = $($.map(['h1', 'h2', 'h3', 'h4'], function (h) { return ".article article " + h; }).join(", ")); + + // a stack of hierarchy items that are currently being built + var stack = []; + $headers.each(function (i, e) { + if (!e.id) { + return; + } + + var item = { + name: htmlEncode($(e).text()), + href: "#" + e.id, + items: [] + }; + + if (!stack.length) { + stack.push({ type: e.tagName, siblings: [item] }); + return; + } + + var frame = stack[stack.length - 1]; + if (e.tagName === frame.type) { + frame.siblings.push(item); + } else if (e.tagName[1] > frame.type[1]) { + // we are looking at a child of the last element of frame.siblings. + // push a frame onto the stack. After we've finished building this item's children, + // we'll attach it as a child of the last element + stack.push({ type: e.tagName, siblings: [item] }); + } else { // e.tagName[1] < frame.type[1] + // we are looking at a sibling of an ancestor of the current item. + // pop frames from the stack, building items as we go, until we reach the correct level at which to attach this item. + while (e.tagName[1] < stack[stack.length - 1].type[1]) { + buildParent(); + } + if (e.tagName === stack[stack.length - 1].type) { + stack[stack.length - 1].siblings.push(item); + } else { + stack.push({ type: e.tagName, siblings: [item] }); + } + } + }); + while (stack.length > 1) { + buildParent(); + } + + function buildParent() { + var childrenToAttach = stack.pop(); + var parentFrame = stack[stack.length - 1]; + var parent = parentFrame.siblings[parentFrame.siblings.length - 1]; + $.each(childrenToAttach.siblings, function (i, child) { + parent.items.push(child); + }); + } + if (stack.length > 0) { + + var topLevel = stack.pop().siblings; + if (topLevel.length === 1) { // if there's only one topmost header, dump it + return topLevel[0].items; + } + return topLevel; + } + return undefined; + } + + function htmlEncode(str) { + if (!str) return str; + return str + .replace(/&/g, '&') + .replace(/"/g, '"') + .replace(/'/g, ''') + .replace(//g, '>'); + } + } + + // Show footer + function renderFooter() { + initFooter(); + $(window).on("scroll", showFooterCore); + + function initFooter() { + if (needFooter()) { + shiftUpBottomCss(); + $("footer").show(); + } else { + resetBottomCss(); + $("footer").hide(); + } + } + + function showFooterCore() { + if (needFooter()) { + shiftUpBottomCss(); + $("footer").fadeIn(); + } else { + resetBottomCss(); + $("footer").fadeOut(); + } + } + + function needFooter() { + var scrollHeight = $(document).height(); + var scrollPosition = $(window).height() + $(window).scrollTop(); + return (scrollHeight - scrollPosition) < 1; + } + + function resetBottomCss() { + $(".sidetoc").removeClass("shiftup"); + $(".sideaffix").removeClass("shiftup"); + } + + function shiftUpBottomCss() { + $(".sidetoc").addClass("shiftup"); + $(".sideaffix").addClass("shiftup"); + } + } + + function renderLogo() { + // For LOGO SVG + // Replace SVG with inline SVG + // http://stackoverflow.com/questions/11978995/how-to-change-color-of-svg-image-using-css-jquery-svg-image-replacement + jQuery('img.svg').each(function () { + var $img = jQuery(this); + var imgID = $img.attr('id'); + var imgClass = $img.attr('class'); + var imgURL = $img.attr('src'); + + jQuery.get(imgURL, function (data) { + // Get the SVG tag, ignore the rest + var $svg = jQuery(data).find('svg'); + + // Add replaced image's ID to the new SVG + if (typeof imgID !== 'undefined') { + $svg = $svg.attr('id', imgID); + } + // Add replaced image's classes to the new SVG + if (typeof imgClass !== 'undefined') { + $svg = $svg.attr('class', imgClass + ' replaced-svg'); + } + + // Remove any invalid XML tags as per http://validator.w3.org + $svg = $svg.removeAttr('xmlns:a'); + + // Replace image with new SVG + $img.replaceWith($svg); + + }, 'xml'); + }); + } + + function renderTabs() { + var contentAttrs = { + id: 'data-bi-id', + name: 'data-bi-name', + type: 'data-bi-type' + }; + + var Tab = (function () { + function Tab(li, a, section) { + this.li = li; + this.a = a; + this.section = section; + } + Object.defineProperty(Tab.prototype, "tabIds", { + get: function () { return this.a.getAttribute('data-tab').split(' '); }, + enumerable: true, + configurable: true + }); + Object.defineProperty(Tab.prototype, "condition", { + get: function () { return this.a.getAttribute('data-condition'); }, + enumerable: true, + configurable: true + }); + Object.defineProperty(Tab.prototype, "visible", { + get: function () { return !this.li.hasAttribute('hidden'); }, + set: function (value) { + if (value) { + this.li.removeAttribute('hidden'); + this.li.removeAttribute('aria-hidden'); + } + else { + this.li.setAttribute('hidden', 'hidden'); + this.li.setAttribute('aria-hidden', 'true'); + } + }, + enumerable: true, + configurable: true + }); + Object.defineProperty(Tab.prototype, "selected", { + get: function () { return !this.section.hasAttribute('hidden'); }, + set: function (value) { + if (value) { + this.a.setAttribute('aria-selected', 'true'); + this.a.tabIndex = 0; + this.section.removeAttribute('hidden'); + this.section.removeAttribute('aria-hidden'); + } + else { + this.a.setAttribute('aria-selected', 'false'); + this.a.tabIndex = -1; + this.section.setAttribute('hidden', 'hidden'); + this.section.setAttribute('aria-hidden', 'true'); + } + }, + enumerable: true, + configurable: true + }); + Tab.prototype.focus = function () { + this.a.focus(); + }; + return Tab; + }()); + + initTabs(document.body); + + function initTabs(container) { + var queryStringTabs = readTabsQueryStringParam(); + var elements = container.querySelectorAll('.tabGroup'); + var state = { groups: [], selectedTabs: [] }; + for (var i = 0; i < elements.length; i++) { + var group = initTabGroup(elements.item(i)); + if (!group.independent) { + updateVisibilityAndSelection(group, state); + state.groups.push(group); + } + } + container.addEventListener('click', function (event) { return handleClick(event, state); }); + if (state.groups.length === 0) { + return state; + } + selectTabs(queryStringTabs); + updateTabsQueryStringParam(state); + notifyContentUpdated(); + return state; + } + + function initTabGroup(element) { + var group = { + independent: element.hasAttribute('data-tab-group-independent'), + tabs: [] + }; + var li = element.firstElementChild.firstElementChild; + while (li) { + var a = li.firstElementChild; + a.setAttribute(contentAttrs.name, 'tab'); + var dataTab = a.getAttribute('data-tab').replace(/\+/g, ' '); + a.setAttribute('data-tab', dataTab); + var section = element.querySelector("[id=\"" + a.getAttribute('aria-controls') + "\"]"); + var tab = new Tab(li, a, section); + group.tabs.push(tab); + li = li.nextElementSibling; + } + element.setAttribute(contentAttrs.name, 'tab-group'); + element.tabGroup = group; + return group; + } + + function updateVisibilityAndSelection(group, state) { + var anySelected = false; + var firstVisibleTab; + for (var _i = 0, _a = group.tabs; _i < _a.length; _i++) { + var tab = _a[_i]; + tab.visible = tab.condition === null || state.selectedTabs.indexOf(tab.condition) !== -1; + if (tab.visible) { + if (!firstVisibleTab) { + firstVisibleTab = tab; + } + } + tab.selected = tab.visible && arraysIntersect(state.selectedTabs, tab.tabIds); + anySelected = anySelected || tab.selected; + } + if (!anySelected) { + for (var _b = 0, _c = group.tabs; _b < _c.length; _b++) { + var tabIds = _c[_b].tabIds; + for (var _d = 0, tabIds_1 = tabIds; _d < tabIds_1.length; _d++) { + var tabId = tabIds_1[_d]; + var index = state.selectedTabs.indexOf(tabId); + if (index === -1) { + continue; + } + state.selectedTabs.splice(index, 1); + } + } + var tab = firstVisibleTab; + tab.selected = true; + state.selectedTabs.push(tab.tabIds[0]); + } + } + + function getTabInfoFromEvent(event) { + if (!(event.target instanceof HTMLElement)) { + return null; + } + var anchor = event.target.closest('a[data-tab]'); + if (anchor === null) { + return null; + } + var tabIds = anchor.getAttribute('data-tab').split(' '); + var group = anchor.parentElement.parentElement.parentElement.tabGroup; + if (group === undefined) { + return null; + } + return { tabIds: tabIds, group: group, anchor: anchor }; + } + + function handleClick(event, state) { + var info = getTabInfoFromEvent(event); + if (info === null) { + return; + } + event.preventDefault(); + info.anchor.href = 'javascript:'; + setTimeout(function () { return info.anchor.href = $('#' + info.anchor.getAttribute('aria-controls')); }); + var tabIds = info.tabIds, group = info.group; + var originalTop = info.anchor.getBoundingClientRect().top; + if (group.independent) { + for (var _i = 0, _a = group.tabs; _i < _a.length; _i++) { + var tab = _a[_i]; + tab.selected = arraysIntersect(tab.tabIds, tabIds); + } + } + else { + if (arraysIntersect(state.selectedTabs, tabIds)) { + return; + } + var previousTabId = group.tabs.filter(function (t) { return t.selected; })[0].tabIds[0]; + state.selectedTabs.splice(state.selectedTabs.indexOf(previousTabId), 1, tabIds[0]); + for (var _b = 0, _c = state.groups; _b < _c.length; _b++) { + var group_1 = _c[_b]; + updateVisibilityAndSelection(group_1, state); + } + updateTabsQueryStringParam(state); + } + notifyContentUpdated(); + var top = info.anchor.getBoundingClientRect().top; + if (top !== originalTop && event instanceof MouseEvent) { + window.scrollTo(0, window.pageYOffset + top - originalTop); + } + } + + function selectTabs(tabIds) { + for (var _i = 0, tabIds_1 = tabIds; _i < tabIds_1.length; _i++) { + var tabId = tabIds_1[_i]; + var a = document.querySelector(".tabGroup > ul > li > a[data-tab=\"" + tabId + "\"]:not([hidden])"); + if (a === null) { + return; + } + a.dispatchEvent(new CustomEvent('click', { bubbles: true })); + } + } + + function readTabsQueryStringParam() { + var qs = parseQueryString(window.location.search); + var t = qs.tabs; + if (t === undefined || t === '') { + return []; + } + return t.split(','); + } + + function updateTabsQueryStringParam(state) { + var qs = parseQueryString(window.location.search); + qs.tabs = state.selectedTabs.join(); + var url = location.protocol + "//" + location.host + location.pathname + "?" + toQueryString(qs) + location.hash; + if (location.href === url) { + return; + } + history.replaceState({}, document.title, url); + } + + function toQueryString(args) { + var parts = []; + for (var name_1 in args) { + if (args.hasOwnProperty(name_1) && args[name_1] !== '' && args[name_1] !== null && args[name_1] !== undefined) { + parts.push(encodeURIComponent(name_1) + '=' + encodeURIComponent(args[name_1])); + } + } + return parts.join('&'); + } + + function parseQueryString(queryString) { + var match; + var pl = /\+/g; + var search = /([^&=]+)=?([^&]*)/g; + var decode = function (s) { return decodeURIComponent(s.replace(pl, ' ')); }; + if (queryString === undefined) { + queryString = ''; + } + queryString = queryString.substring(1); + var urlParams = {}; + while (match = search.exec(queryString)) { + urlParams[decode(match[1])] = decode(match[2]); + } + return urlParams; + } + + function arraysIntersect(a, b) { + for (var _i = 0, a_1 = a; _i < a_1.length; _i++) { + var itemA = a_1[_i]; + for (var _a = 0, b_1 = b; _a < b_1.length; _a++) { + var itemB = b_1[_a]; + if (itemA === itemB) { + return true; + } + } + } + return false; + } + + function notifyContentUpdated() { + // Dispatch this event when needed + // window.dispatchEvent(new CustomEvent('content-update')); + } + } + + function utility() { + this.getAbsolutePath = getAbsolutePath; + this.isRelativePath = isRelativePath; + this.isAbsolutePath = isAbsolutePath; + this.getCurrentWindowAbsolutePath = getCurrentWindowAbsolutePath; + this.getDirectory = getDirectory; + this.formList = formList; + + function getAbsolutePath(href) { + if (isAbsolutePath(href)) return href; + var currentAbsPath = getCurrentWindowAbsolutePath(); + var stack = currentAbsPath.split("/"); + stack.pop(); + var parts = href.split("/"); + for (var i=0; i< parts.length; i++) { + if (parts[i] == ".") continue; + if (parts[i] == ".." && stack.length > 0) + stack.pop(); + else + stack.push(parts[i]); + } + var p = stack.join("/"); + return p; + } + + function isRelativePath(href) { + if (href === undefined || href === '' || href[0] === '/') { + return false; + } + return !isAbsolutePath(href); + } + + function isAbsolutePath(href) { + return (/^(?:[a-z]+:)?\/\//i).test(href); + } + + function getCurrentWindowAbsolutePath() { + return window.location.origin + window.location.pathname; + } + function getDirectory(href) { + if (!href) return ''; + var index = href.lastIndexOf('/'); + if (index == -1) return ''; + if (index > -1) { + return href.substr(0, index); + } + } + + function formList(item, classes) { + var level = 1; + var model = { + items: item + }; + var cls = [].concat(classes).join(" "); + return getList(model, cls); + + function getList(model, cls) { + if (!model || !model.items) return null; + var l = model.items.length; + if (l === 0) return null; + var html = ''; + return html; + } + } + + /** + * Add into long word. + * @param {String} text - The word to break. It should be in plain text without HTML tags. + */ + function breakPlainText(text) { + if (!text) return text; + return text.replace(/([a-z])([A-Z])|(\.)(\w)/g, '$1$3$2$4') + } + + /** + * Add into long word. The jQuery element should contain no html tags. + * If the jQuery element contains tags, this function will not change the element. + */ + $.fn.breakWord = function () { + if (this.html() == this.text()) { + this.html(function (index, text) { + return breakPlainText(text); + }) + } + return this; + } + } + + // adjusted from https://stackoverflow.com/a/13067009/1523776 + function workAroundFixedHeaderForAnchors() { + var HISTORY_SUPPORT = !!(history && history.pushState); + var ANCHOR_REGEX = /^#[^ ]+$/; + + function getFixedOffset() { + return $('header').first().height(); + } + + /** + * If the provided href is an anchor which resolves to an element on the + * page, scroll to it. + * @param {String} href + * @return {Boolean} - Was the href an anchor. + */ + function scrollIfAnchor(href, pushToHistory) { + var match, rect, anchorOffset; + + if (!ANCHOR_REGEX.test(href)) { + return false; + } + + match = document.getElementById(href.slice(1)); + + if (match) { + rect = match.getBoundingClientRect(); + anchorOffset = window.pageYOffset + rect.top - getFixedOffset(); + window.scrollTo(window.pageXOffset, anchorOffset); + + // Add the state to history as-per normal anchor links + if (HISTORY_SUPPORT && pushToHistory) { + history.pushState({}, document.title, location.pathname + href); + } + } + + return !!match; + } + + /** + * Attempt to scroll to the current location's hash. + */ + function scrollToCurrent() { + scrollIfAnchor(window.location.hash); + } + + /** + * If the click event's target was an anchor, fix the scroll position. + */ + function delegateAnchors(e) { + var elem = e.target; + + if (scrollIfAnchor(elem.getAttribute('href'), true)) { + e.preventDefault(); + } + } + + $(window).on('hashchange', scrollToCurrent); + + $(window).on('load', function () { + // scroll to the anchor if present, offset by the header + scrollToCurrent(); + }); + + $(document).ready(function () { + // Exclude tabbed content case + $('a:not([data-tab])').click(function (e) { delegateAnchors(e); }); + }); + } +}); diff --git a/docs/api/csharp/styles/docfx.vendor.css b/docs/api/csharp/styles/docfx.vendor.css new file mode 100644 index 0000000000000..609602eb134dd --- /dev/null +++ b/docs/api/csharp/styles/docfx.vendor.css @@ -0,0 +1,1513 @@ +/*! + * Bootstrap v3.4.1 (https://getbootstrap.com/) + * Copyright 2011-2019 Twitter, Inc. + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + */ +/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */ +html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%} +article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block} +audio,canvas,progress,video{display:inline-block;vertical-align:baseline} +audio:not([controls]){display:none;height:0} +[hidden],template{display:none} +a:active,a:hover{outline:0} +abbr[title]{border-bottom:none;text-decoration:underline;-webkit-text-decoration:underline dotted;-moz-text-decoration:underline dotted;text-decoration:underline dotted} +b,optgroup,strong{font-weight:700} +dfn{font-style:italic} +h1{margin:.67em 0} +mark{background:#ff0;color:#000} +sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline} +sup{top:-.5em} +sub{bottom:-.25em} +img{border:0;vertical-align:middle} +svg:not(:root){overflow:hidden} +hr{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;height:0} +code,kbd,pre,samp{font-size:1em} +button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0} +button{overflow:visible} +button,select{text-transform:none} +button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer} +button[disabled],html input[disabled]{cursor:default} +button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0} +input{line-height:normal} +input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0} +input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto} +input[type=search]{-webkit-appearance:textfield;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box} +input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none} +textarea{overflow:auto} +td,th{padding:0} +/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */ +@media print{ +*,:after,:before{color:#000!important;text-shadow:none!important;background:0 0!important;-webkit-box-shadow:none!important;box-shadow:none!important} +a,a:visited{text-decoration:underline} +a[href]:after{content:" (" attr(href) ")"} +abbr[title]:after{content:" (" attr(title) ")"} +a[href^="#"]:after,a[href^="javascript:"]:after{content:""} +blockquote,pre{border:1px solid #999;page-break-inside:avoid} +thead{display:table-header-group} +img,tr{page-break-inside:avoid} +img{max-width:100%!important} +h2,h3,p{orphans:3;widows:3} +h2,h3{page-break-after:avoid} +.navbar{display:none} +.btn>.caret,.dropup>.btn>.caret{border-top-color:#000!important} +.label{border:1px solid #000} +.table{border-collapse:collapse!important} +.table td,.table th{background-color:#fff!important} +.table-bordered td,.table-bordered th{border:1px solid #ddd!important} +} +@font-face{font-family:"Glyphicons 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отключитьобработчикзапросанастроекклиенталицензирования отключитьобработчикожидания отключитьобработчикоповещения открытьзначение открытьиндекссправки открытьсодержаниесправки открытьсправку открытьформу открытьформумодально отменитьтранзакцию очиститьжурналрегистрации очиститьнастройкипользователя очиститьсообщения параметрыдоступа перейтипонавигационнойссылке переместитьфайл подключитьвнешнююкомпоненту подключитьобработчикзапросанастроекклиенталицензирования подключитьобработчикожидания подключитьобработчикоповещения подключитьрасширениеработыскриптографией подключитьрасширениеработысфайлами подробноепредставлениеошибки показатьвводдаты показатьвводзначения показатьвводстроки показатьвводчисла показатьвопрос показатьзначение показатьинформациюобошибке показатьнакарте показатьоповещениепользователя показатьпредупреждение полноеимяпользователя получитьcomобъект получитьxmlтип получитьадреспоместоположению получитьблокировкусеансов получитьвремязавершенияспящегосеанса получитьвремязасыпанияпассивногосеанса получитьвремяожиданияблокировкиданных получитьданныевыбора получитьдополнительныйпараметрклиенталицензирования получитьдопустимыекодылокализации получитьдопустимыечасовыепояса получитьзаголовокклиентскогоприложения получитьзаголовоксистемы получитьзначенияотборажурналарегистрации получитьидентификаторконфигурации получитьизвременногохранилища получитьимявременногофайла получитьимяклиенталицензирования получитьинформациюэкрановклиента получитьиспользованиежурналарегистрации получитьиспользованиесобытияжурналарегистрации получитькраткийзаголовокприложения получитьмакетоформления получитьмаскувсефайлы получитьмаскувсефайлыклиента получитьмаскувсефайлысервера получитьместоположениепоадресу получитьминимальнуюдлинупаролейпользователей получитьнавигационнуюссылку получитьнавигационнуюссылкуинформационнойбазы получитьобновлениеконфигурациибазыданных получитьобновлениепредопределенныхданныхинформационнойбазы получитьобщиймакет получитьобщуюформу 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configProperties configSourceAddonList configSourceMod configSourceModList connectTerminalToUAV controlNull controlsGroupCtrl copyFromClipboard copyToClipboard copyWaypoints cos count countEnemy countFriendly countSide countType countUnknown create3DENComposition create3DENEntity createAgent createCenter createDialog createDiaryLink createDiaryRecord createDiarySubject createDisplay createGearDialog createGroup createGuardedPoint createLocation createMarker createMarkerLocal createMenu createMine createMissionDisplay createMPCampaignDisplay createSimpleObject createSimpleTask createSite createSoundSource createTask createTeam createTrigger createUnit createVehicle createVehicleCrew createVehicleLocal crew ctrlActivate ctrlAddEventHandler ctrlAngle ctrlAutoScrollDelay ctrlAutoScrollRewind ctrlAutoScrollSpeed ctrlChecked ctrlClassName ctrlCommit ctrlCommitted ctrlCreate ctrlDelete ctrlEnable ctrlEnabled ctrlFade ctrlHTMLLoaded ctrlIDC ctrlIDD ctrlMapAnimAdd ctrlMapAnimClear ctrlMapAnimCommit ctrlMapAnimDone ctrlMapCursor ctrlMapMouseOver ctrlMapScale ctrlMapScreenToWorld ctrlMapWorldToScreen ctrlModel ctrlModelDirAndUp ctrlModelScale ctrlParent ctrlParentControlsGroup ctrlPosition ctrlRemoveAllEventHandlers ctrlRemoveEventHandler ctrlScale ctrlSetActiveColor ctrlSetAngle ctrlSetAutoScrollDelay ctrlSetAutoScrollRewind ctrlSetAutoScrollSpeed ctrlSetBackgroundColor ctrlSetChecked ctrlSetEventHandler ctrlSetFade ctrlSetFocus ctrlSetFont ctrlSetFontH1 ctrlSetFontH1B ctrlSetFontH2 ctrlSetFontH2B ctrlSetFontH3 ctrlSetFontH3B ctrlSetFontH4 ctrlSetFontH4B ctrlSetFontH5 ctrlSetFontH5B ctrlSetFontH6 ctrlSetFontH6B ctrlSetFontHeight ctrlSetFontHeightH1 ctrlSetFontHeightH2 ctrlSetFontHeightH3 ctrlSetFontHeightH4 ctrlSetFontHeightH5 ctrlSetFontHeightH6 ctrlSetFontHeightSecondary ctrlSetFontP ctrlSetFontPB ctrlSetFontSecondary ctrlSetForegroundColor ctrlSetModel ctrlSetModelDirAndUp ctrlSetModelScale ctrlSetPosition ctrlSetScale ctrlSetStructuredText ctrlSetText ctrlSetTextColor ctrlSetTooltip ctrlSetTooltipColorBox ctrlSetTooltipColorShade ctrlSetTooltipColorText ctrlShow ctrlShown ctrlText ctrlTextHeight ctrlType ctrlVisible curatorAddons curatorCamera curatorCameraArea curatorCameraAreaCeiling curatorCoef curatorEditableObjects curatorEditingArea curatorEditingAreaType curatorMouseOver curatorPoints curatorRegisteredObjects curatorSelected curatorWaypointCost current3DENOperation currentChannel currentCommand currentMagazine currentMagazineDetail currentMagazineDetailTurret currentMagazineTurret currentMuzzle currentNamespace currentTask currentTasks currentThrowable currentVisionMode currentWaypoint currentWeapon currentWeaponMode currentWeaponTurret currentZeroing cursorObject cursorTarget customChat customRadio cutFadeOut cutObj cutRsc cutText damage date dateToNumber daytime deActivateKey debriefingText debugFSM debugLog deg delete3DENEntities deleteAt deleteCenter deleteCollection deleteEditorObject deleteGroup deleteIdentity deleteLocation deleteMarker deleteMarkerLocal deleteRange deleteResources deleteSite deleteStatus deleteTeam deleteVehicle deleteVehicleCrew deleteWaypoint detach detectedMines diag_activeMissionFSMs diag_activeScripts diag_activeSQFScripts diag_activeSQSScripts diag_captureFrame diag_captureSlowFrame diag_codePerformance diag_drawMode diag_enable diag_enabled diag_fps diag_fpsMin diag_frameNo diag_list diag_log diag_logSlowFrame diag_mergeConfigFile diag_recordTurretLimits diag_tickTime diag_toggle dialog diarySubjectExists didJIP didJIPOwner difficulty difficultyEnabled difficultyEnabledRTD difficultyOption direction directSay disableAI disableCollisionWith disableConversation disableDebriefingStats disableNVGEquipment disableRemoteSensors disableSerialization disableTIEquipment disableUAVConnectability disableUserInput displayAddEventHandler displayCtrl displayNull displayParent displayRemoveAllEventHandlers displayRemoveEventHandler displaySetEventHandler dissolveTeam distance distance2D distanceSqr distributionRegion do3DENAction doArtilleryFire doFire doFollow doFSM doGetOut doMove doorPhase doStop doSuppressiveFire doTarget doWatch drawArrow drawEllipse drawIcon drawIcon3D drawLine drawLine3D drawLink drawLocation drawPolygon drawRectangle driver drop east echo edit3DENMissionAttributes editObject editorSetEventHandler effectiveCommander emptyPositions enableAI enableAIFeature enableAimPrecision enableAttack enableAudioFeature enableCamShake enableCaustics enableChannel enableCollisionWith enableCopilot enableDebriefingStats enableDiagLegend enableEndDialog enableEngineArtillery enableEnvironment enableFatigue enableGunLights enableIRLasers enableMimics enablePersonTurret enableRadio enableReload enableRopeAttach enableSatNormalOnDetail enableSaving enableSentences enableSimulation enableSimulationGlobal enableStamina enableTeamSwitch enableUAVConnectability enableUAVWaypoints enableVehicleCargo endLoadingScreen endMission engineOn enginesIsOnRTD enginesRpmRTD enginesTorqueRTD entities estimatedEndServerTime estimatedTimeLeft evalObjectArgument everyBackpack everyContainer exec execEditorScript execFSM execVM exp expectedDestination exportJIPMessages eyeDirection eyePos face faction fadeMusic fadeRadio fadeSound fadeSpeech failMission fillWeaponsFromPool find findCover findDisplay findEditorObject findEmptyPosition findEmptyPositionReady findNearestEnemy finishMissionInit finite fire fireAtTarget firstBackpack flag flagOwner flagSide flagTexture fleeing floor flyInHeight flyInHeightASL fog fogForecast fogParams forceAddUniform forcedMap forceEnd forceMap forceRespawn forceSpeed forceWalk forceWeaponFire forceWeatherChange forEachMember forEachMemberAgent forEachMemberTeam format formation formationDirection formationLeader formationMembers formationPosition formationTask formatText formLeader freeLook fromEditor fuel fullCrew gearIDCAmmoCount gearSlotAmmoCount gearSlotData get3DENActionState get3DENAttribute get3DENCamera get3DENConnections get3DENEntity get3DENEntityID get3DENGrid get3DENIconsVisible get3DENLayerEntities get3DENLinesVisible get3DENMissionAttribute get3DENMouseOver get3DENSelected getAimingCoef getAllHitPointsDamage getAllOwnedMines getAmmoCargo getAnimAimPrecision getAnimSpeedCoef getArray getArtilleryAmmo getArtilleryComputerSettings getArtilleryETA getAssignedCuratorLogic getAssignedCuratorUnit getBackpackCargo getBleedingRemaining getBurningValue getCameraViewDirection getCargoIndex getCenterOfMass getClientState getClientStateNumber getConnectedUAV getCustomAimingCoef getDammage getDescription getDir getDirVisual getDLCs getEditorCamera getEditorMode getEditorObjectScope getElevationOffset getFatigue getFriend getFSMVariable getFuelCargo getGroupIcon getGroupIconParams getGroupIcons getHideFrom getHit getHitIndex getHitPointDamage getItemCargo getMagazineCargo getMarkerColor getMarkerPos getMarkerSize getMarkerType getMass getMissionConfig getMissionConfigValue getMissionDLCs getMissionLayerEntities getModelInfo getMousePosition getNumber getObjectArgument getObjectChildren getObjectDLC getObjectMaterials getObjectProxy getObjectTextures getObjectType getObjectViewDistance getOxygenRemaining getPersonUsedDLCs getPilotCameraDirection getPilotCameraPosition getPilotCameraRotation getPilotCameraTarget getPlayerChannel getPlayerScores getPlayerUID getPos getPosASL getPosASLVisual getPosASLW getPosATL getPosATLVisual getPosVisual getPosWorld getRelDir getRelPos getRemoteSensorsDisabled getRepairCargo getResolution getShadowDistance getShotParents getSlingLoad getSpeed getStamina getStatValue getSuppression getTerrainHeightASL getText getUnitLoadout getUnitTrait getVariable getVehicleCargo getWeaponCargo getWeaponSway getWPPos glanceAt globalChat globalRadio goggles goto group groupChat groupFromNetId groupIconSelectable groupIconsVisible groupId groupOwner groupRadio groupSelectedUnits groupSelectUnit grpNull gunner gusts halt handgunItems handgunMagazine handgunWeapon handsHit hasInterface hasPilotCamera hasWeapon hcAllGroups hcGroupParams hcLeader hcRemoveAllGroups hcRemoveGroup hcSelected hcSelectGroup hcSetGroup hcShowBar hcShownBar headgear hideBody hideObject hideObjectGlobal hideSelection hint hintC hintCadet hintSilent hmd hostMission htmlLoad HUDMovementLevels humidity image importAllGroups importance in inArea inAreaArray incapacitatedState independent inflame inflamed inGameUISetEventHandler inheritsFrom initAmbientLife inPolygon inputAction inRangeOfArtillery insertEditorObject intersect is3DEN is3DENMultiplayer isAbleToBreathe isAgent isArray isAutoHoverOn isAutonomous isAutotest isBleeding isBurning isClass isCollisionLightOn isCopilotEnabled isDedicated isDLCAvailable isEngineOn isEqualTo isEqualType isEqualTypeAll isEqualTypeAny isEqualTypeArray isEqualTypeParams isFilePatchingEnabled isFlashlightOn isFlatEmpty isForcedWalk isFormationLeader isHidden isInRemainsCollector isInstructorFigureEnabled isIRLaserOn isKeyActive isKindOf isLightOn isLocalized isManualFire isMarkedForCollection isMultiplayer isMultiplayerSolo isNil isNull isNumber isObjectHidden isObjectRTD isOnRoad isPipEnabled isPlayer isRealTime isRemoteExecuted isRemoteExecutedJIP isServer isShowing3DIcons isSprintAllowed isStaminaEnabled isSteamMission isStreamFriendlyUIEnabled isText isTouchingGround isTurnedOut isTutHintsEnabled isUAVConnectable isUAVConnected isUniformAllowed isVehicleCargo isWalking isWeaponDeployed isWeaponRested itemCargo items itemsWithMagazines join joinAs joinAsSilent joinSilent joinString kbAddDatabase kbAddDatabaseTargets kbAddTopic kbHasTopic kbReact kbRemoveTopic kbTell kbWasSaid keyImage keyName knowsAbout land landAt landResult language laserTarget lbAdd lbClear lbColor lbCurSel lbData lbDelete lbIsSelected lbPicture lbSelection lbSetColor lbSetCurSel lbSetData lbSetPicture lbSetPictureColor lbSetPictureColorDisabled lbSetPictureColorSelected lbSetSelectColor lbSetSelectColorRight lbSetSelected lbSetTooltip lbSetValue lbSize lbSort lbSortByValue lbText lbValue leader leaderboardDeInit leaderboardGetRows leaderboardInit leaveVehicle libraryCredits libraryDisclaimers lifeState lightAttachObject lightDetachObject lightIsOn lightnings limitSpeed linearConversion lineBreak lineIntersects lineIntersectsObjs lineIntersectsSurfaces lineIntersectsWith linkItem list listObjects ln lnbAddArray lnbAddColumn lnbAddRow lnbClear lnbColor lnbCurSelRow lnbData lnbDeleteColumn lnbDeleteRow lnbGetColumnsPosition lnbPicture lnbSetColor lnbSetColumnsPos lnbSetCurSelRow lnbSetData lnbSetPicture lnbSetText lnbSetValue lnbSize lnbText lnbValue load loadAbs loadBackpack loadFile loadGame loadIdentity loadMagazine loadOverlay loadStatus loadUniform loadVest local localize locationNull locationPosition lock lockCameraTo lockCargo lockDriver locked lockedCargo lockedDriver lockedTurret lockIdentity lockTurret lockWP log logEntities logNetwork logNetworkTerminate lookAt lookAtPos magazineCargo magazines magazinesAllTurrets magazinesAmmo magazinesAmmoCargo magazinesAmmoFull magazinesDetail magazinesDetailBackpack magazinesDetailUniform magazinesDetailVest magazinesTurret magazineTurretAmmo mapAnimAdd mapAnimClear mapAnimCommit mapAnimDone mapCenterOnCamera mapGridPosition markAsFinishedOnSteam markerAlpha markerBrush markerColor markerDir markerPos markerShape markerSize markerText markerType max members menuAction menuAdd menuChecked menuClear menuCollapse menuData menuDelete menuEnable menuEnabled menuExpand menuHover menuPicture menuSetAction menuSetCheck menuSetData menuSetPicture menuSetValue menuShortcut menuShortcutText menuSize menuSort menuText menuURL menuValue min mineActive mineDetectedBy missionConfigFile missionDifficulty missionName missionNamespace missionStart missionVersion mod modelToWorld modelToWorldVisual modParams moonIntensity moonPhase morale move move3DENCamera moveInAny moveInCargo moveInCommander moveInDriver moveInGunner moveInTurret moveObjectToEnd moveOut moveTime moveTo moveToCompleted moveToFailed musicVolume name nameSound nearEntities nearestBuilding nearestLocation nearestLocations nearestLocationWithDubbing nearestObject nearestObjects nearestTerrainObjects nearObjects nearObjectsReady nearRoads nearSupplies nearTargets needReload netId netObjNull newOverlay nextMenuItemIndex nextWeatherChange nMenuItems not numberToDate objectCurators objectFromNetId objectParent objNull objStatus onBriefingGroup onBriefingNotes onBriefingPlan onBriefingTeamSwitch onCommandModeChanged onDoubleClick onEachFrame onGroupIconClick onGroupIconOverEnter onGroupIconOverLeave onHCGroupSelectionChanged onMapSingleClick onPlayerConnected onPlayerDisconnected onPreloadFinished onPreloadStarted onShowNewObject onTeamSwitch openCuratorInterface openDLCPage openMap openYoutubeVideo opfor or orderGetIn overcast overcastForecast owner param params parseNumber parseText parsingNamespace particlesQuality pi pickWeaponPool pitch pixelGrid pixelGridBase pixelGridNoUIScale pixelH pixelW playableSlotsNumber playableUnits playAction playActionNow player playerRespawnTime playerSide playersNumber playGesture playMission playMove playMoveNow playMusic playScriptedMission playSound playSound3D position positionCameraToWorld posScreenToWorld posWorldToScreen ppEffectAdjust ppEffectCommit ppEffectCommitted ppEffectCreate ppEffectDestroy ppEffectEnable ppEffectEnabled ppEffectForceInNVG precision preloadCamera preloadObject preloadSound preloadTitleObj preloadTitleRsc preprocessFile preprocessFileLineNumbers primaryWeapon primaryWeaponItems primaryWeaponMagazine priority private processDiaryLink productVersion profileName profileNamespace profileNameSteam progressLoadingScreen progressPosition progressSetPosition publicVariable publicVariableClient publicVariableServer pushBack pushBackUnique putWeaponPool queryItemsPool queryMagazinePool queryWeaponPool rad radioChannelAdd radioChannelCreate radioChannelRemove radioChannelSetCallSign radioChannelSetLabel radioVolume rain rainbow random rank rankId rating rectangular registeredTasks registerTask reload reloadEnabled remoteControl remoteExec remoteExecCall remove3DENConnection remove3DENEventHandler remove3DENLayer removeAction removeAll3DENEventHandlers removeAllActions removeAllAssignedItems removeAllContainers removeAllCuratorAddons removeAllCuratorCameraAreas removeAllCuratorEditingAreas removeAllEventHandlers removeAllHandgunItems removeAllItems removeAllItemsWithMagazines removeAllMissionEventHandlers removeAllMPEventHandlers removeAllMusicEventHandlers removeAllOwnedMines removeAllPrimaryWeaponItems removeAllWeapons removeBackpack removeBackpackGlobal removeCuratorAddons removeCuratorCameraArea removeCuratorEditableObjects removeCuratorEditingArea removeDrawIcon removeDrawLinks removeEventHandler removeFromRemainsCollector removeGoggles removeGroupIcon removeHandgunItem removeHeadgear removeItem removeItemFromBackpack removeItemFromUniform removeItemFromVest removeItems removeMagazine removeMagazineGlobal removeMagazines removeMagazinesTurret removeMagazineTurret removeMenuItem removeMissionEventHandler removeMPEventHandler removeMusicEventHandler removeOwnedMine removePrimaryWeaponItem removeSecondaryWeaponItem removeSimpleTask removeSwitchableUnit removeTeamMember removeUniform removeVest removeWeapon removeWeaponGlobal removeWeaponTurret requiredVersion resetCamShake resetSubgroupDirection resistance resize resources respawnVehicle restartEditorCamera reveal revealMine reverse reversedMouseY roadAt roadsConnectedTo roleDescription ropeAttachedObjects ropeAttachedTo ropeAttachEnabled ropeAttachTo ropeCreate ropeCut ropeDestroy ropeDetach ropeEndPosition ropeLength ropes ropeUnwind ropeUnwound rotorsForcesRTD rotorsRpmRTD round runInitScript safeZoneH safeZoneW safeZoneWAbs safeZoneX safeZoneXAbs safeZoneY save3DENInventory saveGame saveIdentity saveJoysticks saveOverlay saveProfileNamespace saveStatus saveVar savingEnabled say say2D say3D scopeName score scoreSide screenshot screenToWorld scriptDone scriptName scriptNull scudState secondaryWeapon secondaryWeaponItems secondaryWeaponMagazine select selectBestPlaces selectDiarySubject selectedEditorObjects selectEditorObject selectionNames selectionPosition selectLeader selectMax selectMin selectNoPlayer selectPlayer selectRandom selectWeapon selectWeaponTurret sendAUMessage sendSimpleCommand sendTask sendTaskResult sendUDPMessage serverCommand serverCommandAvailable serverCommandExecutable serverName serverTime set set3DENAttribute set3DENAttributes set3DENGrid set3DENIconsVisible set3DENLayer set3DENLinesVisible set3DENMissionAttributes set3DENModelsVisible set3DENObjectType set3DENSelected setAccTime setAirportSide setAmmo setAmmoCargo setAnimSpeedCoef setAperture setApertureNew setArmoryPoints setAttributes setAutonomous setbehavior setBleedingRemaining setCameraInterest setCamShakeDefParams setCamShakeParams setCamUseTi setCaptive setCenterOfMass setCollisionLight setCombatMode setCompassOscillation setCuratorCameraAreaCeiling setCuratorCoef setCuratorEditingAreaType setCuratorWaypointCost setCurrentChannel setCurrentTask setCurrentWaypoint setCustomAimCoef setDamage setDammage setDate setDebriefingText setDefaultCamera setDestination setDetailMapBlendPars setDir setDirection setDrawIcon setDropInterval setEditorMode setEditorObjectScope setEffectCondition setFace setFaceAnimation setFatigue setFlagOwner setFlagSide setFlagTexture setFog setFormation setFormationTask setFormDir setFriend setFromEditor setFSMVariable setFuel setFuelCargo setGroupIcon setGroupIconParams setGroupIconsSelectable setGroupIconsVisible setGroupId setGroupIdGlobal setGroupOwner setGusts setHideBehind setHit setHitIndex setHitPointDamage setHorizonParallaxCoef setHUDMovementLevels setIdentity setImportance setLeader setLightAmbient setLightAttenuation setLightBrightness setLightColor setLightDayLight setLightFlareMaxDistance setLightFlareSize setLightIntensity setLightnings setLightUseFlare setLocalWindParams setMagazineTurretAmmo setMarkerAlpha setMarkerAlphaLocal setMarkerBrush setMarkerBrushLocal setMarkerColor setMarkerColorLocal setMarkerDir setMarkerDirLocal setMarkerPos setMarkerPosLocal setMarkerShape setMarkerShapeLocal setMarkerSize setMarkerSizeLocal setMarkerText setMarkerTextLocal setMarkerType setMarkerTypeLocal setMass setMimic setMousePosition setMusicEffect setMusicEventHandler setName setNameSound setObjectArguments setObjectMaterial setObjectMaterialGlobal setObjectProxy setObjectTexture setObjectTextureGlobal setObjectViewDistance setOvercast setOwner setOxygenRemaining setParticleCircle setParticleClass setParticleFire setParticleParams setParticleRandom setPilotCameraDirection setPilotCameraRotation setPilotCameraTarget setPilotLight setPiPEffect setPitch setPlayable setPlayerRespawnTime setPos setPosASL setPosASL2 setPosASLW setPosATL setPosition setPosWorld setRadioMsg setRain setRainbow setRandomLip setRank setRectangular setRepairCargo setShadowDistance setShotParents setSide setSimpleTaskAlwaysVisible setSimpleTaskCustomData setSimpleTaskDescription setSimpleTaskDestination setSimpleTaskTarget setSimpleTaskType setSimulWeatherLayers setSize setSkill setSlingLoad setSoundEffect setSpeaker setSpeech setSpeedMode setStamina setStaminaScheme setStatValue setSuppression setSystemOfUnits setTargetAge setTaskResult setTaskState setTerrainGrid setText setTimeMultiplier setTitleEffect setTriggerActivation setTriggerArea setTriggerStatements setTriggerText setTriggerTimeout setTriggerType setType setUnconscious setUnitAbility setUnitLoadout setUnitPos setUnitPosWeak setUnitRank setUnitRecoilCoefficient setUnitTrait setUnloadInCombat setUserActionText setVariable setVectorDir setVectorDirAndUp setVectorUp setVehicleAmmo setVehicleAmmoDef setVehicleArmor setVehicleCargo setVehicleId setVehicleLock setVehiclePosition setVehicleTiPars setVehicleVarName setVelocity setVelocityTransformation setViewDistance setVisibleIfTreeCollapsed setWaves setWaypointbehavior setWaypointCombatMode setWaypointCompletionRadius setWaypointDescription setWaypointForcebehavior setWaypointFormation setWaypointHousePosition setWaypointLoiterRadius setWaypointLoiterType setWaypointName setWaypointPosition setWaypointScript setWaypointSpeed setWaypointStatements setWaypointTimeout setWaypointType setWaypointVisible setWeaponReloadingTime setWind setWindDir setWindForce setWindStr setWPPos show3DIcons showChat showCinemaBorder showCommandingMenu showCompass showCuratorCompass showGPS showHUD showLegend showMap shownArtilleryComputer shownChat shownCompass shownCuratorCompass showNewEditorObject shownGPS shownHUD shownMap shownPad shownRadio shownScoretable shownUAVFeed shownWarrant shownWatch showPad showRadio showScoretable showSubtitles showUAVFeed showWarrant showWatch showWaypoint showWaypoints side sideAmbientLife sideChat sideEmpty sideEnemy sideFriendly sideLogic sideRadio sideUnknown simpleTasks simulationEnabled simulCloudDensity simulCloudOcclusion simulInClouds simulWeatherSync sin size sizeOf skill skillFinal skipTime sleep sliderPosition sliderRange sliderSetPosition sliderSetRange sliderSetSpeed sliderSpeed slingLoadAssistantShown soldierMagazines someAmmo sort soundVolume spawn speaker speed speedMode splitString sqrt squadParams stance startLoadingScreen step stop stopEngineRTD stopped str sunOrMoon supportInfo suppressFor surfaceIsWater surfaceNormal surfaceType swimInDepth switchableUnits switchAction switchCamera switchGesture switchLight switchMove synchronizedObjects synchronizedTriggers synchronizedWaypoints synchronizeObjectsAdd synchronizeObjectsRemove synchronizeTrigger synchronizeWaypoint systemChat systemOfUnits tan targetKnowledge targetsAggregate targetsQuery taskAlwaysVisible taskChildren taskCompleted taskCustomData taskDescription taskDestination taskHint taskMarkerOffset taskNull taskParent taskResult taskState taskType teamMember teamMemberNull teamName teams teamSwitch teamSwitchEnabled teamType terminate terrainIntersect terrainIntersectASL text textLog textLogFormat tg time timeMultiplier titleCut titleFadeOut titleObj titleRsc titleText toArray toFixed toLower toString toUpper triggerActivated triggerActivation triggerArea triggerAttachedVehicle triggerAttachObject triggerAttachVehicle triggerStatements triggerText triggerTimeout triggerTimeoutCurrent triggerType turretLocal turretOwner turretUnit tvAdd tvClear tvCollapse tvCount tvCurSel tvData tvDelete tvExpand tvPicture tvSetCurSel tvSetData tvSetPicture tvSetPictureColor tvSetPictureColorDisabled tvSetPictureColorSelected tvSetPictureRight tvSetPictureRightColor tvSetPictureRightColorDisabled tvSetPictureRightColorSelected tvSetText tvSetTooltip tvSetValue tvSort tvSortByValue tvText tvTooltip tvValue type typeName typeOf UAVControl uiNamespace uiSleep unassignCurator unassignItem unassignTeam unassignVehicle underwater uniform uniformContainer uniformItems uniformMagazines unitAddons unitAimPosition unitAimPositionVisual unitBackpack unitIsUAV unitPos unitReady unitRecoilCoefficient units unitsBelowHeight unlinkItem unlockAchievement unregisterTask updateDrawIcon updateMenuItem updateObjectTree useAISteeringComponent useAudioTimeForMoves vectorAdd vectorCos vectorCrossProduct vectorDiff vectorDir vectorDirVisual vectorDistance vectorDistanceSqr vectorDotProduct vectorFromTo vectorMagnitude vectorMagnitudeSqr vectorMultiply vectorNormalized vectorUp vectorUpVisual vehicle vehicleCargoEnabled vehicleChat vehicleRadio vehicles vehicleVarName velocity velocityModelSpace verifySignature vest vestContainer vestItems vestMagazines viewDistance visibleCompass visibleGPS visibleMap visiblePosition visiblePositionASL visibleScoretable visibleWatch waves waypointAttachedObject waypointAttachedVehicle waypointAttachObject waypointAttachVehicle waypointbehavior waypointCombatMode waypointCompletionRadius waypointDescription waypointForcebehavior waypointFormation waypointHousePosition waypointLoiterRadius waypointLoiterType waypointName waypointPosition waypoints waypointScript waypointsEnabledUAV waypointShow waypointSpeed waypointStatements waypointTimeout waypointTimeoutCurrent waypointType waypointVisible weaponAccessories weaponAccessoriesCargo weaponCargo weaponDirection weaponInertia weaponLowered weapons weaponsItems weaponsItemsCargo weaponState weaponsTurret weightRTD west WFSideText wind",literal:"true false nil"},c:[e.CLCM,e.CBCM,e.NM,r,a,i,t.preprocessor],i:/#/}})),e.registerLanguage("sql",(function(e){var t=e.C("--","$");return{cI:!0,i:/[<>{}*#]/,c:[{bK:"begin end start commit rollback savepoint lock alter create drop rename call delete do handler insert load replace select truncate update set show pragma grant merge describe use explain help declare prepare execute deallocate release unlock purge reset change stop analyze cache flush optimize repair kill install uninstall checksum restore check backup revoke comment",e:/;/,eW:!0,l:/[\w\.]+/,k:{keyword:"abort abs absolute acc acce accep accept access accessed accessible account acos action activate add addtime admin administer advanced advise aes_decrypt aes_encrypt after agent aggregate ali alia alias allocate allow alter always analyze ancillary and any anydata anydataset anyschema anytype apply archive archived archivelog are as asc ascii asin assembly assertion associate asynchronous at atan atn2 attr attri attrib attribu attribut attribute attributes audit authenticated authentication authid authors auto autoallocate autodblink autoextend automatic availability avg backup badfile basicfile before begin beginning benchmark between bfile bfile_base big bigfile bin binary_double binary_float binlog bit_and bit_count bit_length bit_or bit_xor bitmap blob_base block blocksize body both bound buffer_cache buffer_pool build bulk by byte byteordermark bytes cache caching call calling cancel capacity cascade cascaded case cast catalog category ceil ceiling chain change changed char_base char_length character_length characters characterset charindex charset charsetform charsetid check checksum checksum_agg child choose chr chunk class cleanup clear client clob clob_base clone close cluster_id cluster_probability cluster_set clustering coalesce coercibility col collate collation collect colu colum column column_value columns columns_updated comment commit compact compatibility compiled complete composite_limit compound compress compute concat concat_ws concurrent confirm conn connec connect connect_by_iscycle connect_by_isleaf connect_by_root connect_time connection consider consistent constant constraint constraints constructor container content contents context contributors controlfile conv convert convert_tz corr corr_k corr_s corresponding corruption cos cost count count_big counted covar_pop covar_samp cpu_per_call cpu_per_session crc32 create creation critical cross cube cume_dist curdate current current_date current_time current_timestamp current_user cursor curtime customdatum cycle data database databases datafile datafiles datalength date_add date_cache date_format date_sub dateadd datediff datefromparts datename datepart datetime2fromparts day day_to_second dayname dayofmonth dayofweek dayofyear days db_role_change dbtimezone ddl deallocate declare decode decompose decrement decrypt deduplicate def defa defau defaul default defaults deferred defi defin define degrees delayed delegate delete delete_all delimited demand dense_rank depth dequeue des_decrypt des_encrypt des_key_file desc descr descri describ describe descriptor deterministic diagnostics difference dimension direct_load directory disable disable_all disallow disassociate discardfile disconnect diskgroup distinct distinctrow distribute distributed div do document domain dotnet double downgrade drop dumpfile duplicate duration each edition editionable editions element ellipsis else elsif elt empty enable enable_all enclosed encode encoding encrypt end end-exec endian enforced engine engines enqueue enterprise entityescaping eomonth error errors escaped evalname evaluate event eventdata events except exception exceptions exchange exclude excluding execu execut execute exempt exists exit exp expire explain export export_set extended extent external external_1 external_2 externally extract failed failed_login_attempts failover failure far fast feature_set feature_value fetch field fields file file_name_convert filesystem_like_logging final finish first first_value fixed flash_cache flashback floor flush following follows for forall force form forma format found found_rows freelist freelists freepools fresh from from_base64 from_days ftp full function general generated get get_format get_lock getdate getutcdate global global_name globally go goto grant grants greatest group group_concat group_id grouping grouping_id groups gtid_subtract guarantee guard handler hash hashkeys having hea head headi headin heading heap help hex hierarchy high high_priority hosts hour http id ident_current ident_incr ident_seed identified identity idle_time if ifnull ignore iif ilike ilm immediate import in include including increment index indexes indexing indextype indicator indices inet6_aton inet6_ntoa inet_aton inet_ntoa infile initial initialized initially initrans inmemory inner innodb input insert install instance instantiable instr interface interleaved intersect into invalidate invisible is is_free_lock is_ipv4 is_ipv4_compat is_not is_not_null is_used_lock isdate isnull isolation iterate java join json json_exists keep keep_duplicates key keys kill language large last last_day last_insert_id last_value lax lcase lead leading least leaves left len length length less level levels library like like2 like4 likec limit lines link list listagg little ln load load_file lob lobs local localtime localtimestamp locate locator lock locked log log10 log2 logfile logfiles logging logical logical_reads_per_call logoff logon logs long loop low low_priority lower lpad lrtrim ltrim main make_set makedate maketime managed management manual map mapping mask master master_pos_wait match matched materialized max maxextents maximize maxinstances maxlen maxlogfiles maxloghistory maxlogmembers maxsize maxtrans md5 measures median medium member memcompress memory merge microsecond mid migration min minextents minimum mining minus minute minvalue missing mod mode model modification modify module monitoring month months mount move movement multiset mutex name name_const names nan national native natural nav nchar nclob nested never new newline next nextval no no_write_to_binlog noarchivelog noaudit nobadfile nocheck nocompress nocopy nocycle nodelay nodiscardfile noentityescaping noguarantee nokeep nologfile nomapping nomaxvalue nominimize nominvalue nomonitoring none noneditionable nonschema noorder nopr nopro noprom nopromp noprompt norely noresetlogs noreverse normal norowdependencies noschemacheck noswitch not nothing notice notrim novalidate now nowait nth_value nullif nulls num numb numbe nvarchar nvarchar2 object ocicoll ocidate ocidatetime ociduration ociinterval ociloblocator ocinumber ociref ocirefcursor ocirowid ocistring ocitype oct octet_length of off offline offset oid oidindex old on online only opaque open operations operator optimal optimize option optionally or oracle oracle_date oradata ord ordaudio orddicom orddoc order ordimage ordinality ordvideo organization orlany orlvary out outer outfile outline output over overflow overriding package pad parallel parallel_enable parameters parent parse partial partition partitions pascal passing password password_grace_time password_lock_time password_reuse_max password_reuse_time password_verify_function patch path patindex pctincrease pctthreshold pctused pctversion percent percent_rank percentile_cont percentile_disc performance period period_add period_diff permanent physical pi pipe pipelined pivot pluggable plugin policy position post_transaction pow power pragma prebuilt precedes preceding precision prediction prediction_cost prediction_details prediction_probability prediction_set prepare present preserve prior priority private private_sga privileges procedural procedure procedure_analyze processlist profiles project prompt protection public publishingservername purge quarter query quick quiesce quota quotename radians raise rand range rank raw read reads readsize rebuild record records recover recovery recursive recycle redo reduced ref reference referenced references referencing refresh regexp_like register regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy reject rekey relational relative relaylog release release_lock relies_on relocate rely rem remainder rename repair repeat replace replicate replication required reset resetlogs resize resource respect restore restricted result result_cache resumable resume retention return 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pipeline setup + * with a trimmer, stop word filter and stemmer. + * + * This builder object is yielded to the configuration function + * that is passed as a parameter, allowing the list of fields + * and other builder parameters to be customized. + * + * All documents _must_ be added within the passed config function. + * + * @example + * var idx = lunr(function () { + * this.field('title') + * this.field('body') + * this.ref('id') + * + * documents.forEach(function (doc) { + * this.add(doc) + * }, this) + * }) + * + * @see {@link lunr.Builder} + * @see {@link lunr.Pipeline} + * @see {@link lunr.trimmer} + * @see {@link lunr.stopWordFilter} + * @see {@link lunr.stemmer} + * @namespace {function} lunr + */ +var lunr = function (config) { + var builder = new lunr.Builder + + builder.pipeline.add( + lunr.trimmer, + lunr.stopWordFilter, + lunr.stemmer + ) + + builder.searchPipeline.add( + lunr.stemmer + ) + + config.call(builder, builder) + return builder.build() +} + +lunr.version = "2.1.2" +/*! + * lunr.utils + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * A namespace containing utils for the rest of the lunr library + */ +lunr.utils = {} + +/** + * Print a warning message to the console. + * + * @param {String} message The message to be printed. + * @memberOf Utils + */ +lunr.utils.warn = (function (global) { + /* eslint-disable no-console */ + return function (message) { + if (global.console && console.warn) { + console.warn(message) + } + } + /* eslint-enable no-console */ +})(this) + +/** + * Convert an object to a string. + * + * In the case of `null` and `undefined` the function returns + * the empty string, in all other cases the result of calling + * `toString` on the passed object is returned. + * + * @param {Any} obj The object to convert to a string. + * @return {String} string representation of the passed object. + * @memberOf Utils + */ +lunr.utils.asString = function (obj) { + if (obj === void 0 || obj === null) { + return "" + } else { + return obj.toString() + } +} +lunr.FieldRef = function (docRef, fieldName) { + this.docRef = docRef + this.fieldName = fieldName + this._stringValue = fieldName + lunr.FieldRef.joiner + docRef +} + +lunr.FieldRef.joiner = "/" + +lunr.FieldRef.fromString = function (s) { + var n = s.indexOf(lunr.FieldRef.joiner) + + if (n === -1) { + throw "malformed field ref string" + } + + var fieldRef = s.slice(0, n), + docRef = s.slice(n + 1) + + return new lunr.FieldRef (docRef, fieldRef) +} + +lunr.FieldRef.prototype.toString = function () { + return this._stringValue +} +/** + * A function to calculate the inverse document frequency for + * a posting. This is shared between the builder and the index + * + * @private + * @param {object} posting - The posting for a given term + * @param {number} documentCount - The total number of documents. + */ +lunr.idf = function (posting, documentCount) { + var documentsWithTerm = 0 + + for (var fieldName in posting) { + if (fieldName == '_index') continue // Ignore the term index, its not a field + documentsWithTerm += Object.keys(posting[fieldName]).length + } + + var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5) + + return Math.log(1 + Math.abs(x)) +} + +/** + * A token wraps a string representation of a token + * as it is passed through the text processing pipeline. + * + * @constructor + * @param {string} [str=''] - The string token being wrapped. + * @param {object} [metadata={}] - Metadata associated with this token. + */ +lunr.Token = function (str, metadata) { + this.str = str || "" + this.metadata = metadata || {} +} + +/** + * Returns the token string that is being wrapped by this object. + * + * @returns {string} + */ +lunr.Token.prototype.toString = function () { + return this.str +} + +/** + * A token update function is used when updating or optionally + * when cloning a token. + * + * @callback lunr.Token~updateFunction + * @param {string} str - The string representation of the token. + * @param {Object} metadata - All metadata associated with this token. + */ + +/** + * Applies the given function to the wrapped string token. + * + * @example + * token.update(function (str, metadata) { + * return str.toUpperCase() + * }) + * + * @param {lunr.Token~updateFunction} fn - A function to apply to the token string. + * @returns {lunr.Token} + */ +lunr.Token.prototype.update = function (fn) { + this.str = fn(this.str, this.metadata) + return this +} + +/** + * Creates a clone of this token. Optionally a function can be + * applied to the cloned token. + * + * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token. + * @returns {lunr.Token} + */ +lunr.Token.prototype.clone = function (fn) { + fn = fn || function (s) { return s } + return new lunr.Token (fn(this.str, this.metadata), this.metadata) +} +/*! + * lunr.tokenizer + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * A function for splitting a string into tokens ready to be inserted into + * the search index. Uses `lunr.tokenizer.separator` to split strings, change + * the value of this property to change how strings are split into tokens. + * + * This tokenizer will convert its parameter to a string by calling `toString` and + * then will split this string on the character in `lunr.tokenizer.separator`. + * Arrays will have their elements converted to strings and wrapped in a lunr.Token. + * + * @static + * @param {?(string|object|object[])} obj - The object to convert into tokens + * @returns {lunr.Token[]} + */ +lunr.tokenizer = function (obj) { + if (obj == null || obj == undefined) { + return [] + } + + if (Array.isArray(obj)) { + return obj.map(function (t) { + return new lunr.Token(lunr.utils.asString(t).toLowerCase()) + }) + } + + var str = obj.toString().trim().toLowerCase(), + len = str.length, + tokens = [] + + for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) { + var char = str.charAt(sliceEnd), + sliceLength = sliceEnd - sliceStart + + if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) { + + if (sliceLength > 0) { + tokens.push( + new lunr.Token (str.slice(sliceStart, sliceEnd), { + position: [sliceStart, sliceLength], + index: tokens.length + }) + ) + } + + sliceStart = sliceEnd + 1 + } + + } + + return tokens +} + +/** + * The separator used to split a string into tokens. Override this property to change the behavior of + * `lunr.tokenizer` behavior when tokenizing strings. By default this splits on whitespace and hyphens. + * + * @static + * @see lunr.tokenizer + */ +lunr.tokenizer.separator = /[\s\-]+/ +/*! + * lunr.Pipeline + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * lunr.Pipelines maintain an ordered list of functions to be applied to all + * tokens in documents entering the search index and queries being ran against + * the index. + * + * An instance of lunr.Index created with the lunr shortcut will contain a + * pipeline with a stop word filter and an English language stemmer. Extra + * functions can be added before or after either of these functions or these + * default functions can be removed. + * + * When run the pipeline will call each function in turn, passing a token, the + * index of that token in the original list of all tokens and finally a list of + * all the original tokens. + * + * The output of functions in the pipeline will be passed to the next function + * in the pipeline. To exclude a token from entering the index the function + * should return undefined, the rest of the pipeline will not be called with + * this token. + * + * For serialization of pipelines to work, all functions used in an instance of + * a pipeline should be registered with lunr.Pipeline. Registered functions can + * then be loaded. If trying to load a serialized pipeline that uses functions + * that are not registered an error will be thrown. + * + * If not planning on serializing the pipeline then registering pipeline functions + * is not necessary. + * + * @constructor + */ +lunr.Pipeline = function () { + this._stack = [] +} + +lunr.Pipeline.registeredFunctions = Object.create(null) + +/** + * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token + * string as well as all known metadata. A pipeline function can mutate the token string + * or mutate (or add) metadata for a given token. + * + * A pipeline function can indicate that the passed token should be discarded by returning + * null. This token will not be passed to any downstream pipeline functions and will not be + * added to the index. + * + * Multiple tokens can be returned by returning an array of tokens. Each token will be passed + * to any downstream pipeline functions and all will returned tokens will be added to the index. + * + * Any number of pipeline functions may be chained together using a lunr.Pipeline. + * + * @interface lunr.PipelineFunction + * @param {lunr.Token} token - A token from the document being processed. + * @param {number} i - The index of this token in the complete list of tokens for this document/field. + * @param {lunr.Token[]} tokens - All tokens for this document/field. + * @returns {(?lunr.Token|lunr.Token[])} + */ + +/** + * Register a function with the pipeline. + * + * Functions that are used in the pipeline should be registered if the pipeline + * needs to be serialized, or a serialized pipeline needs to be loaded. + * + * Registering a function does not add it to a pipeline, functions must still be + * added to instances of the pipeline for them to be used when running a pipeline. + * + * @param {lunr.PipelineFunction} fn - The function to check for. + * @param {String} label - The label to register this function with + */ +lunr.Pipeline.registerFunction = function (fn, label) { + if (label in this.registeredFunctions) { + lunr.utils.warn('Overwriting existing registered function: ' + label) + } + + fn.label = label + lunr.Pipeline.registeredFunctions[fn.label] = fn +} + +/** + * Warns if the function is not registered as a Pipeline function. + * + * @param {lunr.PipelineFunction} fn - The function to check for. + * @private + */ +lunr.Pipeline.warnIfFunctionNotRegistered = function (fn) { + var isRegistered = fn.label && (fn.label in this.registeredFunctions) + + if (!isRegistered) { + lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serializing the index.\n', fn) + } +} + +/** + * Loads a previously serialized pipeline. + * + * All functions to be loaded must already be registered with lunr.Pipeline. + * If any function from the serialized data has not been registered then an + * error will be thrown. + * + * @param {Object} serialized - The serialized pipeline to load. + * @returns {lunr.Pipeline} + */ +lunr.Pipeline.load = function (serialized) { + var pipeline = new lunr.Pipeline + + serialized.forEach(function (fnName) { + var fn = lunr.Pipeline.registeredFunctions[fnName] + + if (fn) { + pipeline.add(fn) + } else { + throw new Error('Cannot load unregistered function: ' + fnName) + } + }) + + return pipeline +} + +/** + * Adds new functions to the end of the pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline. + */ +lunr.Pipeline.prototype.add = function () { + var fns = Array.prototype.slice.call(arguments) + + fns.forEach(function (fn) { + lunr.Pipeline.warnIfFunctionNotRegistered(fn) + this._stack.push(fn) + }, this) +} + +/** + * Adds a single function after a function that already exists in the + * pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. + * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. + */ +lunr.Pipeline.prototype.after = function (existingFn, newFn) { + lunr.Pipeline.warnIfFunctionNotRegistered(newFn) + + var pos = this._stack.indexOf(existingFn) + if (pos == -1) { + throw new Error('Cannot find existingFn') + } + + pos = pos + 1 + this._stack.splice(pos, 0, newFn) +} + +/** + * Adds a single function before a function that already exists in the + * pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. + * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. + */ +lunr.Pipeline.prototype.before = function (existingFn, newFn) { + lunr.Pipeline.warnIfFunctionNotRegistered(newFn) + + var pos = this._stack.indexOf(existingFn) + if (pos == -1) { + throw new Error('Cannot find existingFn') + } + + this._stack.splice(pos, 0, newFn) +} + +/** + * Removes a function from the pipeline. + * + * @param {lunr.PipelineFunction} fn The function to remove from the pipeline. + */ +lunr.Pipeline.prototype.remove = function (fn) { + var pos = this._stack.indexOf(fn) + if (pos == -1) { + return + } + + this._stack.splice(pos, 1) +} + +/** + * Runs the current list of functions that make up the pipeline against the + * passed tokens. + * + * @param {Array} tokens The tokens to run through the pipeline. + * @returns {Array} + */ +lunr.Pipeline.prototype.run = function (tokens) { + var stackLength = this._stack.length + + for (var i = 0; i < stackLength; i++) { + var fn = this._stack[i] + + tokens = tokens.reduce(function (memo, token, j) { + var result = fn(token, j, tokens) + + if (result === void 0 || result === '') return memo + + return memo.concat(result) + }, []) + } + + return tokens +} + +/** + * Convenience method for passing a string through a pipeline and getting + * strings out. This method takes care of wrapping the passed string in a + * token and mapping the resulting tokens back to strings. + * + * @param {string} str - The string to pass through the pipeline. + * @returns {string[]} + */ +lunr.Pipeline.prototype.runString = function (str) { + var token = new lunr.Token (str) + + return this.run([token]).map(function (t) { + return t.toString() + }) +} + +/** + * Resets the pipeline by removing any existing processors. + * + */ +lunr.Pipeline.prototype.reset = function () { + this._stack = [] +} + +/** + * Returns a representation of the pipeline ready for serialization. + * + * Logs a warning if the function has not been registered. + * + * @returns {Array} + */ +lunr.Pipeline.prototype.toJSON = function () { + return this._stack.map(function (fn) { + lunr.Pipeline.warnIfFunctionNotRegistered(fn) + + return fn.label + }) +} +/*! + * lunr.Vector + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * A vector is used to construct the vector space of documents and queries. These + * vectors support operations to determine the similarity between two documents or + * a document and a query. + * + * Normally no parameters are required for initializing a vector, but in the case of + * loading a previously dumped vector the raw elements can be provided to the constructor. + * + * For performance reasons vectors are implemented with a flat array, where an elements + * index is immediately followed by its value. E.g. [index, value, index, value]. This + * allows the underlying array to be as sparse as possible and still offer decent + * performance when being used for vector calculations. + * + * @constructor + * @param {Number[]} [elements] - The flat list of element index and element value pairs. + */ +lunr.Vector = function (elements) { + this._magnitude = 0 + this.elements = elements || [] +} + + +/** + * Calculates the position within the vector to insert a given index. + * + * This is used internally by insert and upsert. If there are duplicate indexes then + * the position is returned as if the value for that index were to be updated, but it + * is the callers responsibility to check whether there is a duplicate at that index + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @returns {Number} + */ +lunr.Vector.prototype.positionForIndex = function (index) { + // For an empty vector the tuple can be inserted at the beginning + if (this.elements.length == 0) { + return 0 + } + + var start = 0, + end = this.elements.length / 2, + sliceLength = end - start, + pivotPoint = Math.floor(sliceLength / 2), + pivotIndex = this.elements[pivotPoint * 2] + + while (sliceLength > 1) { + if (pivotIndex < index) { + start = pivotPoint + } + + if (pivotIndex > index) { + end = pivotPoint + } + + if (pivotIndex == index) { + break + } + + sliceLength = end - start + pivotPoint = start + Math.floor(sliceLength / 2) + pivotIndex = this.elements[pivotPoint * 2] + } + + if (pivotIndex == index) { + return pivotPoint * 2 + } + + if (pivotIndex > index) { + return pivotPoint * 2 + } + + if (pivotIndex < index) { + return (pivotPoint + 1) * 2 + } +} + +/** + * Inserts an element at an index within the vector. + * + * Does not allow duplicates, will throw an error if there is already an entry + * for this index. + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @param {Number} val - The value to be inserted into the vector. + */ +lunr.Vector.prototype.insert = function (insertIdx, val) { + this.upsert(insertIdx, val, function () { + throw "duplicate index" + }) +} + +/** + * Inserts or updates an existing index within the vector. + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @param {Number} val - The value to be inserted into the vector. + * @param {function} fn - A function that is called for updates, the existing value and the + * requested value are passed as arguments + */ +lunr.Vector.prototype.upsert = function (insertIdx, val, fn) { + this._magnitude = 0 + var position = this.positionForIndex(insertIdx) + + if (this.elements[position] == insertIdx) { + this.elements[position + 1] = fn(this.elements[position + 1], val) + } else { + this.elements.splice(position, 0, insertIdx, val) + } +} + +/** + * Calculates the magnitude of this vector. + * + * @returns {Number} + */ +lunr.Vector.prototype.magnitude = function () { + if (this._magnitude) return this._magnitude + + var sumOfSquares = 0, + elementsLength = this.elements.length + + for (var i = 1; i < elementsLength; i += 2) { + var val = this.elements[i] + sumOfSquares += val * val + } + + return this._magnitude = Math.sqrt(sumOfSquares) +} + +/** + * Calculates the dot product of this vector and another vector. + * + * @param {lunr.Vector} otherVector - The vector to compute the dot product with. + * @returns {Number} + */ +lunr.Vector.prototype.dot = function (otherVector) { + var dotProduct = 0, + a = this.elements, b = otherVector.elements, + aLen = a.length, bLen = b.length, + aVal = 0, bVal = 0, + i = 0, j = 0 + + while (i < aLen && j < bLen) { + aVal = a[i], bVal = b[j] + if (aVal < bVal) { + i += 2 + } else if (aVal > bVal) { + j += 2 + } else if (aVal == bVal) { + dotProduct += a[i + 1] * b[j + 1] + i += 2 + j += 2 + } + } + + return dotProduct +} + +/** + * Calculates the cosine similarity between this vector and another + * vector. + * + * @param {lunr.Vector} otherVector - The other vector to calculate the + * similarity with. + * @returns {Number} + */ +lunr.Vector.prototype.similarity = function (otherVector) { + return this.dot(otherVector) / (this.magnitude() * otherVector.magnitude()) +} + +/** + * Converts the vector to an array of the elements within the vector. + * + * @returns {Number[]} + */ +lunr.Vector.prototype.toArray = function () { + var output = new Array (this.elements.length / 2) + + for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) { + output[j] = this.elements[i] + } + + return output +} + +/** + * A JSON serializable representation of the vector. + * + * @returns {Number[]} + */ +lunr.Vector.prototype.toJSON = function () { + return this.elements +} +/* eslint-disable */ +/*! + * lunr.stemmer + * Copyright (C) 2017 Oliver Nightingale + * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt + */ + +/** + * lunr.stemmer is an english language stemmer, this is a JavaScript + * implementation of the PorterStemmer taken from http://tartarus.org/~martin + * + * @static + * @implements {lunr.PipelineFunction} + * @param {lunr.Token} token - The string to stem + * @returns {lunr.Token} + * @see {@link lunr.Pipeline} + */ +lunr.stemmer = (function(){ + var step2list = { + "ational" : "ate", + "tional" : "tion", + "enci" : "ence", + "anci" : "ance", + "izer" : "ize", + "bli" : "ble", + "alli" : "al", + "entli" : "ent", + "eli" : "e", + "ousli" : "ous", + "ization" : "ize", + "ation" : "ate", + "ator" : "ate", + "alism" : "al", + "iveness" : "ive", + "fulness" : "ful", + "ousness" : "ous", + "aliti" : "al", + "iviti" : "ive", + "biliti" : "ble", + "logi" : "log" + }, + + step3list = { + "icate" : "ic", + "ative" : "", + "alize" : "al", + "iciti" : "ic", + "ical" : "ic", + "ful" : "", + "ness" : "" + }, + + c = "[^aeiou]", // consonant + v = "[aeiouy]", // vowel + C = c + "[^aeiouy]*", // consonant sequence + V = v + "[aeiou]*", // vowel sequence + + mgr0 = "^(" + C + ")?" + V + C, // [C]VC... is m>0 + meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$", // [C]VC[V] is m=1 + mgr1 = "^(" + C + ")?" + V + C + V + C, // [C]VCVC... is m>1 + s_v = "^(" + C + ")?" + v; // vowel in stem + + var re_mgr0 = new RegExp(mgr0); + var re_mgr1 = new RegExp(mgr1); + var re_meq1 = new RegExp(meq1); + var re_s_v = new RegExp(s_v); + + var re_1a = /^(.+?)(ss|i)es$/; + var re2_1a = /^(.+?)([^s])s$/; + var re_1b = /^(.+?)eed$/; + var re2_1b = /^(.+?)(ed|ing)$/; + var re_1b_2 = /.$/; + var re2_1b_2 = /(at|bl|iz)$/; + var re3_1b_2 = new RegExp("([^aeiouylsz])\\1$"); + var re4_1b_2 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + + var re_1c = /^(.+?[^aeiou])y$/; + var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + + var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + + var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + var re2_4 = /^(.+?)(s|t)(ion)$/; + + var re_5 = /^(.+?)e$/; + var re_5_1 = /ll$/; + var re3_5 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + + var porterStemmer = function porterStemmer(w) { + var stem, + suffix, + firstch, + re, + re2, + re3, + re4; + + if (w.length < 3) { return w; } + + firstch = w.substr(0,1); + if (firstch == "y") { + w = firstch.toUpperCase() + w.substr(1); + } + + // Step 1a + re = re_1a + re2 = re2_1a; + + if (re.test(w)) { w = w.replace(re,"$1$2"); } + else if (re2.test(w)) { w = w.replace(re2,"$1$2"); } + + // Step 1b + re = re_1b; + re2 = re2_1b; + if (re.test(w)) { + var fp = re.exec(w); + re = re_mgr0; + if (re.test(fp[1])) { + re = re_1b_2; + w = w.replace(re,""); + } + } else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = re_s_v; + if (re2.test(stem)) { + w = stem; + re2 = re2_1b_2; + re3 = re3_1b_2; + re4 = re4_1b_2; + if (re2.test(w)) { w = w + "e"; } + else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,""); } + else if (re4.test(w)) { w = w + "e"; } + } + } + + // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say) + re = re_1c; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + w = stem + "i"; + } + + // Step 2 + re = re_2; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = re_mgr0; + if (re.test(stem)) { + w = stem + step2list[suffix]; + } + } + + // Step 3 + re = re_3; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = re_mgr0; + if (re.test(stem)) { + w = stem + step3list[suffix]; + } + } + + // Step 4 + re = re_4; + re2 = re2_4; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = re_mgr1; + if (re.test(stem)) { + w = stem; + } + } else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = re_mgr1; + if (re2.test(stem)) { + w = stem; + } + } + + // Step 5 + re = re_5; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = re_mgr1; + re2 = re_meq1; + re3 = re3_5; + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) { + w = stem; + } + } + + re = re_5_1; + re2 = re_mgr1; + if (re.test(w) && re2.test(w)) { + re = re_1b_2; + w = w.replace(re,""); + } + + // and turn initial Y back to y + + if (firstch == "y") { + w = firstch.toLowerCase() + w.substr(1); + } + + return w; + }; + + return function (token) { + return token.update(porterStemmer); + } +})(); + +lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer') +/*! + * lunr.stopWordFilter + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * lunr.generateStopWordFilter builds a stopWordFilter function from the provided + * list of stop words. + * + * The built in lunr.stopWordFilter is built using this generator and can be used + * to generate custom stopWordFilters for applications or non English languages. + * + * @param {Array} token The token to pass through the filter + * @returns {lunr.PipelineFunction} + * @see lunr.Pipeline + * @see lunr.stopWordFilter + */ +lunr.generateStopWordFilter = function (stopWords) { + var words = stopWords.reduce(function (memo, stopWord) { + memo[stopWord] = stopWord + return memo + }, {}) + + return function (token) { + if (token && words[token.toString()] !== token.toString()) return token + } +} + +/** + * lunr.stopWordFilter is an English language stop word list filter, any words + * contained in the list will not be passed through the filter. + * + * This is intended to be used in the Pipeline. If the token does not pass the + * filter then undefined will be returned. + * + * @implements {lunr.PipelineFunction} + * @params {lunr.Token} token - A token to check for being a stop word. + * @returns {lunr.Token} + * @see {@link lunr.Pipeline} + */ +lunr.stopWordFilter = lunr.generateStopWordFilter([ + 'a', + 'able', + 'about', + 'across', + 'after', + 'all', + 'almost', + 'also', + 'am', + 'among', + 'an', + 'and', + 'any', + 'are', + 'as', + 'at', + 'be', + 'because', + 'been', + 'but', + 'by', + 'can', + 'cannot', + 'could', + 'dear', + 'did', + 'do', + 'does', + 'either', + 'else', + 'ever', + 'every', + 'for', + 'from', + 'get', + 'got', + 'had', + 'has', + 'have', + 'he', + 'her', + 'hers', + 'him', + 'his', + 'how', + 'however', + 'i', + 'if', + 'in', + 'into', + 'is', + 'it', + 'its', + 'just', + 'least', + 'let', + 'like', + 'likely', + 'may', + 'me', + 'might', + 'most', + 'must', + 'my', + 'neither', + 'no', + 'nor', + 'not', + 'of', + 'off', + 'often', + 'on', + 'only', + 'or', + 'other', + 'our', + 'own', + 'rather', + 'said', + 'say', + 'says', + 'she', + 'should', + 'since', + 'so', + 'some', + 'than', + 'that', + 'the', + 'their', + 'them', + 'then', + 'there', + 'these', + 'they', + 'this', + 'tis', + 'to', + 'too', + 'twas', + 'us', + 'wants', + 'was', + 'we', + 'were', + 'what', + 'when', + 'where', + 'which', + 'while', + 'who', + 'whom', + 'why', + 'will', + 'with', + 'would', + 'yet', + 'you', + 'your' +]) + +lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter') +/*! + * lunr.trimmer + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * lunr.trimmer is a pipeline function for trimming non word + * characters from the beginning and end of tokens before they + * enter the index. + * + * This implementation may not work correctly for non latin + * characters and should either be removed or adapted for use + * with languages with non-latin characters. + * + * @static + * @implements {lunr.PipelineFunction} + * @param {lunr.Token} token The token to pass through the filter + * @returns {lunr.Token} + * @see lunr.Pipeline + */ +lunr.trimmer = function (token) { + return token.update(function (s) { + return s.replace(/^\W+/, '').replace(/\W+$/, '') + }) +} + +lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer') +/*! + * lunr.TokenSet + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * A token set is used to store the unique list of all tokens + * within an index. Token sets are also used to represent an + * incoming query to the index, this query token set and index + * token set are then intersected to find which tokens to look + * up in the inverted index. + * + * A token set can hold multiple tokens, as in the case of the + * index token set, or it can hold a single token as in the + * case of a simple query token set. + * + * Additionally token sets are used to perform wildcard matching. + * Leading, contained and trailing wildcards are supported, and + * from this edit distance matching can also be provided. + * + * Token sets are implemented as a minimal finite state automata, + * where both common prefixes and suffixes are shared between tokens. + * This helps to reduce the space used for storing the token set. + * + * @constructor + */ +lunr.TokenSet = function () { + this.final = false + this.edges = {} + this.id = lunr.TokenSet._nextId + lunr.TokenSet._nextId += 1 +} + +/** + * Keeps track of the next, auto increment, identifier to assign + * to a new tokenSet. + * + * TokenSets require a unique identifier to be correctly minimized. + * + * @private + */ +lunr.TokenSet._nextId = 1 + +/** + * Creates a TokenSet instance from the given sorted array of words. + * + * @param {String[]} arr - A sorted array of strings to create the set from. + * @returns {lunr.TokenSet} + * @throws Will throw an error if the input array is not sorted. + */ +lunr.TokenSet.fromArray = function (arr) { + var builder = new lunr.TokenSet.Builder + + for (var i = 0, len = arr.length; i < len; i++) { + builder.insert(arr[i]) + } + + builder.finish() + return builder.root +} + +/** + * Creates a token set from a query clause. + * + * @private + * @param {Object} clause - A single clause from lunr.Query. + * @param {string} clause.term - The query clause term. + * @param {number} [clause.editDistance] - The optional edit distance for the term. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.fromClause = function (clause) { + if ('editDistance' in clause) { + return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance) + } else { + return lunr.TokenSet.fromString(clause.term) + } +} + +/** + * Creates a token set representing a single string with a specified + * edit distance. + * + * Insertions, deletions, substitutions and transpositions are each + * treated as an edit distance of 1. + * + * Increasing the allowed edit distance will have a dramatic impact + * on the performance of both creating and intersecting these TokenSets. + * It is advised to keep the edit distance less than 3. + * + * @param {string} str - The string to create the token set from. + * @param {number} editDistance - The allowed edit distance to match. + * @returns {lunr.Vector} + */ +lunr.TokenSet.fromFuzzyString = function (str, editDistance) { + var root = new lunr.TokenSet + + var stack = [{ + node: root, + editsRemaining: editDistance, + str: str + }] + + while (stack.length) { + var frame = stack.pop() + + // no edit + if (frame.str.length > 0) { + var char = frame.str.charAt(0), + noEditNode + + if (char in frame.node.edges) { + noEditNode = frame.node.edges[char] + } else { + noEditNode = new lunr.TokenSet + frame.node.edges[char] = noEditNode + } + + if (frame.str.length == 1) { + noEditNode.final = true + } else { + stack.push({ + node: noEditNode, + editsRemaining: frame.editsRemaining, + str: frame.str.slice(1) + }) + } + } + + // deletion + // can only do a deletion if we have enough edits remaining + // and if there are characters left to delete in the string + if (frame.editsRemaining > 0 && frame.str.length > 1) { + var char = frame.str.charAt(1), + deletionNode + + if (char in frame.node.edges) { + deletionNode = frame.node.edges[char] + } else { + deletionNode = new lunr.TokenSet + frame.node.edges[char] = deletionNode + } + + if (frame.str.length <= 2) { + deletionNode.final = true + } else { + stack.push({ + node: deletionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(2) + }) + } + } + + // deletion + // just removing the last character from the str + if (frame.editsRemaining > 0 && frame.str.length == 1) { + frame.node.final = true + } + + // substitution + // can only do a substitution if we have enough edits remaining + // and if there are characters left to substitute + if (frame.editsRemaining > 0 && frame.str.length >= 1) { + if ("*" in frame.node.edges) { + var substitutionNode = frame.node.edges["*"] + } else { + var substitutionNode = new lunr.TokenSet + frame.node.edges["*"] = substitutionNode + } + + if (frame.str.length == 1) { + substitutionNode.final = true + } else { + stack.push({ + node: substitutionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + } + + // insertion + // can only do insertion if there are edits remaining + if (frame.editsRemaining > 0) { + if ("*" in frame.node.edges) { + var insertionNode = frame.node.edges["*"] + } else { + var insertionNode = new lunr.TokenSet + frame.node.edges["*"] = insertionNode + } + + if (frame.str.length == 0) { + insertionNode.final = true + } else { + stack.push({ + node: insertionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str + }) + } + } + + // transposition + // can only do a transposition if there are edits remaining + // and there are enough characters to transpose + if (frame.editsRemaining > 0 && frame.str.length > 1) { + var charA = frame.str.charAt(0), + charB = frame.str.charAt(1), + transposeNode + + if (charB in frame.node.edges) { + transposeNode = frame.node.edges[charB] + } else { + transposeNode = new lunr.TokenSet + frame.node.edges[charB] = transposeNode + } + + if (frame.str.length == 1) { + transposeNode.final = true + } else { + stack.push({ + node: transposeNode, + editsRemaining: frame.editsRemaining - 1, + str: charA + frame.str.slice(2) + }) + } + } + } + + return root +} + +/** + * Creates a TokenSet from a string. + * + * The string may contain one or more wildcard characters (*) + * that will allow wildcard matching when intersecting with + * another TokenSet. + * + * @param {string} str - The string to create a TokenSet from. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.fromString = function (str) { + var node = new lunr.TokenSet, + root = node, + wildcardFound = false + + /* + * Iterates through all characters within the passed string + * appending a node for each character. + * + * As soon as a wildcard character is found then a self + * referencing edge is introduced to continually match + * any number of any characters. + */ + for (var i = 0, len = str.length; i < len; i++) { + var char = str[i], + final = (i == len - 1) + + if (char == "*") { + wildcardFound = true + node.edges[char] = node + node.final = final + + } else { + var next = new lunr.TokenSet + next.final = final + + node.edges[char] = next + node = next + + // TODO: is this needed anymore? + if (wildcardFound) { + node.edges["*"] = root + } + } + } + + return root +} + +/** + * Converts this TokenSet into an array of strings + * contained within the TokenSet. + * + * @returns {string[]} + */ +lunr.TokenSet.prototype.toArray = function () { + var words = [] + + var stack = [{ + prefix: "", + node: this + }] + + while (stack.length) { + var frame = stack.pop(), + edges = Object.keys(frame.node.edges), + len = edges.length + + if (frame.node.final) { + words.push(frame.prefix) + } + + for (var i = 0; i < len; i++) { + var edge = edges[i] + + stack.push({ + prefix: frame.prefix.concat(edge), + node: frame.node.edges[edge] + }) + } + } + + return words +} + +/** + * Generates a string representation of a TokenSet. + * + * This is intended to allow TokenSets to be used as keys + * in objects, largely to aid the construction and minimisation + * of a TokenSet. As such it is not designed to be a human + * friendly representation of the TokenSet. + * + * @returns {string} + */ +lunr.TokenSet.prototype.toString = function () { + // NOTE: Using Object.keys here as this.edges is very likely + // to enter 'hash-mode' with many keys being added + // + // avoiding a for-in loop here as it leads to the function + // being de-optimized (at least in V8). From some simple + // benchmarks the performance is comparable, but allowing + // V8 to optimize may mean easy performance wins in the future. + + if (this._str) { + return this._str + } + + var str = this.final ? '1' : '0', + labels = Object.keys(this.edges).sort(), + len = labels.length + + for (var i = 0; i < len; i++) { + var label = labels[i], + node = this.edges[label] + + str = str + label + node.id + } + + return str +} + +/** + * Returns a new TokenSet that is the intersection of + * this TokenSet and the passed TokenSet. + * + * This intersection will take into account any wildcards + * contained within the TokenSet. + * + * @param {lunr.TokenSet} b - An other TokenSet to intersect with. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.prototype.intersect = function (b) { + var output = new lunr.TokenSet, + frame = undefined + + var stack = [{ + qNode: b, + output: output, + node: this + }] + + while (stack.length) { + frame = stack.pop() + + // NOTE: As with the #toString method, we are using + // Object.keys and a for loop instead of a for-in loop + // as both of these objects enter 'hash' mode, causing + // the function to be de-optimized in V8 + var qEdges = Object.keys(frame.qNode.edges), + qLen = qEdges.length, + nEdges = Object.keys(frame.node.edges), + nLen = nEdges.length + + for (var q = 0; q < qLen; q++) { + var qEdge = qEdges[q] + + for (var n = 0; n < nLen; n++) { + var nEdge = nEdges[n] + + if (nEdge == qEdge || qEdge == '*') { + var node = frame.node.edges[nEdge], + qNode = frame.qNode.edges[qEdge], + final = node.final && qNode.final, + next = undefined + + if (nEdge in frame.output.edges) { + // an edge already exists for this character + // no need to create a new node, just set the finality + // bit unless this node is already final + next = frame.output.edges[nEdge] + next.final = next.final || final + + } else { + // no edge exists yet, must create one + // set the finality bit and insert it + // into the output + next = new lunr.TokenSet + next.final = final + frame.output.edges[nEdge] = next + } + + stack.push({ + qNode: qNode, + output: next, + node: node + }) + } + } + } + } + + return output +} +lunr.TokenSet.Builder = function () { + this.previousWord = "" + this.root = new lunr.TokenSet + this.uncheckedNodes = [] + this.minimizedNodes = {} +} + +lunr.TokenSet.Builder.prototype.insert = function (word) { + var node, + commonPrefix = 0 + + if (word < this.previousWord) { + throw new Error ("Out of order word insertion") + } + + for (var i = 0; i < word.length && i < this.previousWord.length; i++) { + if (word[i] != this.previousWord[i]) break + commonPrefix++ + } + + this.minimize(commonPrefix) + + if (this.uncheckedNodes.length == 0) { + node = this.root + } else { + node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child + } + + for (var i = commonPrefix; i < word.length; i++) { + var nextNode = new lunr.TokenSet, + char = word[i] + + node.edges[char] = nextNode + + this.uncheckedNodes.push({ + parent: node, + char: char, + child: nextNode + }) + + node = nextNode + } + + node.final = true + this.previousWord = word +} + +lunr.TokenSet.Builder.prototype.finish = function () { + this.minimize(0) +} + +lunr.TokenSet.Builder.prototype.minimize = function (downTo) { + for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) { + var node = this.uncheckedNodes[i], + childKey = node.child.toString() + + if (childKey in this.minimizedNodes) { + node.parent.edges[node.char] = this.minimizedNodes[childKey] + } else { + // Cache the key for this node since + // we know it can't change anymore + node.child._str = childKey + + this.minimizedNodes[childKey] = node.child + } + + this.uncheckedNodes.pop() + } +} +/*! + * lunr.Index + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * An index contains the built index of all documents and provides a query interface + * to the index. + * + * Usually instances of lunr.Index will not be created using this constructor, instead + * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be + * used to load previously built and serialized indexes. + * + * @constructor + * @param {Object} attrs - The attributes of the built search index. + * @param {Object} attrs.invertedIndex - An index of term/field to document reference. + * @param {Object} attrs.documentVectors - Document vectors keyed by document reference. + * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens. + * @param {string[]} attrs.fields - The names of indexed document fields. + * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms. + */ +lunr.Index = function (attrs) { + this.invertedIndex = attrs.invertedIndex + this.fieldVectors = attrs.fieldVectors + this.tokenSet = attrs.tokenSet + this.fields = attrs.fields + this.pipeline = attrs.pipeline +} + +/** + * A result contains details of a document matching a search query. + * @typedef {Object} lunr.Index~Result + * @property {string} ref - The reference of the document this result represents. + * @property {number} score - A number between 0 and 1 representing how similar this document is to the query. + * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match. + */ + +/** + * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple + * query language which itself is parsed into an instance of lunr.Query. + * + * For programmatically building queries it is advised to directly use lunr.Query, the query language + * is best used for human entered text rather than program generated text. + * + * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported + * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello' + * or 'world', though those that contain both will rank higher in the results. + * + * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can + * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding + * wildcards will increase the number of documents that will be found but can also have a negative + * impact on query performance, especially with wildcards at the beginning of a term. + * + * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term + * hello in the title field will match this query. Using a field not present in the index will lead + * to an error being thrown. + * + * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term + * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported + * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2. + * Avoid large values for edit distance to improve query performance. + * + * To escape special characters the backslash character '\' can be used, this allows searches to include + * characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead + * of attempting to apply a boost of 2 to the search term "foo". + * + * @typedef {string} lunr.Index~QueryString + * @example Simple single term query + * hello + * @example Multiple term query + * hello world + * @example term scoped to a field + * title:hello + * @example term with a boost of 10 + * hello^10 + * @example term with an edit distance of 2 + * hello~2 + */ + +/** + * Performs a search against the index using lunr query syntax. + * + * Results will be returned sorted by their score, the most relevant results + * will be returned first. + * + * For more programmatic querying use lunr.Index#query. + * + * @param {lunr.Index~QueryString} queryString - A string containing a lunr query. + * @throws {lunr.QueryParseError} If the passed query string cannot be parsed. + * @returns {lunr.Index~Result[]} + */ +lunr.Index.prototype.search = function (queryString) { + return this.query(function (query) { + var parser = new lunr.QueryParser(queryString, query) + parser.parse() + }) +} + +/** + * A query builder callback provides a query object to be used to express + * the query to perform on the index. + * + * @callback lunr.Index~queryBuilder + * @param {lunr.Query} query - The query object to build up. + * @this lunr.Query + */ + +/** + * Performs a query against the index using the yielded lunr.Query object. + * + * If performing programmatic queries against the index, this method is preferred + * over lunr.Index#search so as to avoid the additional query parsing overhead. + * + * A query object is yielded to the supplied function which should be used to + * express the query to be run against the index. + * + * Note that although this function takes a callback parameter it is _not_ an + * asynchronous operation, the callback is just yielded a query object to be + * customized. + * + * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query. + * @returns {lunr.Index~Result[]} + */ +lunr.Index.prototype.query = function (fn) { + // for each query clause + // * process terms + // * expand terms from token set + // * find matching documents and metadata + // * get document vectors + // * score documents + + var query = new lunr.Query(this.fields), + matchingFields = Object.create(null), + queryVectors = Object.create(null) + + fn.call(query, query) + + for (var i = 0; i < query.clauses.length; i++) { + /* + * Unless the pipeline has been disabled for this term, which is + * the case for terms with wildcards, we need to pass the clause + * term through the search pipeline. A pipeline returns an array + * of processed terms. Pipeline functions may expand the passed + * term, which means we may end up performing multiple index lookups + * for a single query term. + */ + var clause = query.clauses[i], + terms = null + + if (clause.usePipeline) { + terms = this.pipeline.runString(clause.term) + } else { + terms = [clause.term] + } + + for (var m = 0; m < terms.length; m++) { + var term = terms[m] + + /* + * Each term returned from the pipeline needs to use the same query + * clause object, e.g. the same boost and or edit distance. The + * simplest way to do this is to re-use the clause object but mutate + * its term property. + */ + clause.term = term + + /* + * From the term in the clause we create a token set which will then + * be used to intersect the indexes token set to get a list of terms + * to lookup in the inverted index + */ + var termTokenSet = lunr.TokenSet.fromClause(clause), + expandedTerms = this.tokenSet.intersect(termTokenSet).toArray() + + for (var j = 0; j < expandedTerms.length; j++) { + /* + * For each term get the posting and termIndex, this is required for + * building the query vector. + */ + var expandedTerm = expandedTerms[j], + posting = this.invertedIndex[expandedTerm], + termIndex = posting._index + + for (var k = 0; k < clause.fields.length; k++) { + /* + * For each field that this query term is scoped by (by default + * all fields are in scope) we need to get all the document refs + * that have this term in that field. + * + * The posting is the entry in the invertedIndex for the matching + * term from above. + */ + var field = clause.fields[k], + fieldPosting = posting[field], + matchingDocumentRefs = Object.keys(fieldPosting) + + /* + * To support field level boosts a query vector is created per + * field. This vector is populated using the termIndex found for + * the term and a unit value with the appropriate boost applied. + * + * If the query vector for this field does not exist yet it needs + * to be created. + */ + if (!(field in queryVectors)) { + queryVectors[field] = new lunr.Vector + } + + /* + * Using upsert because there could already be an entry in the vector + * for the term we are working with. In that case we just add the scores + * together. + */ + queryVectors[field].upsert(termIndex, 1 * clause.boost, function (a, b) { return a + b }) + + for (var l = 0; l < matchingDocumentRefs.length; l++) { + /* + * All metadata for this term/field/document triple + * are then extracted and collected into an instance + * of lunr.MatchData ready to be returned in the query + * results + */ + var matchingDocumentRef = matchingDocumentRefs[l], + matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field), + documentMetadata, matchData + + documentMetadata = fieldPosting[matchingDocumentRef] + matchData = new lunr.MatchData (expandedTerm, field, documentMetadata) + + if (matchingFieldRef in matchingFields) { + matchingFields[matchingFieldRef].combine(matchData) + } else { + matchingFields[matchingFieldRef] = matchData + } + + } + } + } + } + } + + var matchingFieldRefs = Object.keys(matchingFields), + results = {} + + for (var i = 0; i < matchingFieldRefs.length; i++) { + /* + * Currently we have document fields that match the query, but we + * need to return documents. The matchData and scores are combined + * from multiple fields belonging to the same document. + * + * Scores are calculated by field, using the query vectors created + * above, and combined into a final document score using addition. + */ + var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]), + docRef = fieldRef.docRef, + fieldVector = this.fieldVectors[fieldRef], + score = queryVectors[fieldRef.fieldName].similarity(fieldVector) + + if (docRef in results) { + results[docRef].score += score + results[docRef].matchData.combine(matchingFields[fieldRef]) + } else { + results[docRef] = { + ref: docRef, + score: score, + matchData: matchingFields[fieldRef] + } + } + } + + /* + * The results object needs to be converted into a list + * of results, sorted by score before being returned. + */ + return Object.keys(results) + .map(function (key) { + return results[key] + }) + .sort(function (a, b) { + return b.score - a.score + }) +} + +/** + * Prepares the index for JSON serialization. + * + * The schema for this JSON blob will be described in a + * separate JSON schema file. + * + * @returns {Object} + */ +lunr.Index.prototype.toJSON = function () { + var invertedIndex = Object.keys(this.invertedIndex) + .sort() + .map(function (term) { + return [term, this.invertedIndex[term]] + }, this) + + var fieldVectors = Object.keys(this.fieldVectors) + .map(function (ref) { + return [ref, this.fieldVectors[ref].toJSON()] + }, this) + + return { + version: lunr.version, + fields: this.fields, + fieldVectors: fieldVectors, + invertedIndex: invertedIndex, + pipeline: this.pipeline.toJSON() + } +} + +/** + * Loads a previously serialized lunr.Index + * + * @param {Object} serializedIndex - A previously serialized lunr.Index + * @returns {lunr.Index} + */ +lunr.Index.load = function (serializedIndex) { + var attrs = {}, + fieldVectors = {}, + serializedVectors = serializedIndex.fieldVectors, + invertedIndex = {}, + serializedInvertedIndex = serializedIndex.invertedIndex, + tokenSetBuilder = new lunr.TokenSet.Builder, + pipeline = lunr.Pipeline.load(serializedIndex.pipeline) + + if (serializedIndex.version != lunr.version) { + lunr.utils.warn("Version mismatch when loading serialized index. Current version of lunr '" + lunr.version + "' does not match serialized index '" + serializedIndex.version + "'") + } + + for (var i = 0; i < serializedVectors.length; i++) { + var tuple = serializedVectors[i], + ref = tuple[0], + elements = tuple[1] + + fieldVectors[ref] = new lunr.Vector(elements) + } + + for (var i = 0; i < serializedInvertedIndex.length; i++) { + var tuple = serializedInvertedIndex[i], + term = tuple[0], + posting = tuple[1] + + tokenSetBuilder.insert(term) + invertedIndex[term] = posting + } + + tokenSetBuilder.finish() + + attrs.fields = serializedIndex.fields + + attrs.fieldVectors = fieldVectors + attrs.invertedIndex = invertedIndex + attrs.tokenSet = tokenSetBuilder.root + attrs.pipeline = pipeline + + return new lunr.Index(attrs) +} +/*! + * lunr.Builder + * Copyright (C) 2017 Oliver Nightingale + */ + +/** + * lunr.Builder performs indexing on a set of documents and + * returns instances of lunr.Index ready for querying. + * + * All configuration of the index is done via the builder, the + * fields to index, the document reference, the text processing + * pipeline and document scoring parameters are all set on the + * builder before indexing. + * + * @constructor + * @property {string} _ref - Internal reference to the document reference field. + * @property {string[]} _fields - Internal reference to the document fields to index. + * @property {object} invertedIndex - The inverted index maps terms to document fields. + * @property {object} documentTermFrequencies - Keeps track of document term frequencies. + * @property {object} documentLengths - Keeps track of the length of documents added to the index. + * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing. + * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing. + * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index. + * @property {number} documentCount - Keeps track of the total number of documents indexed. + * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75. + * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2. + * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space. + * @property {array} metadataAcceptedlist - A list of metadata keys that have been listed for entry in the index. + */ +lunr.Builder = function () { + this._ref = "id" + this._fields = [] + this.invertedIndex = Object.create(null) + this.fieldTermFrequencies = {} + this.fieldLengths = {} + this.tokenizer = lunr.tokenizer + this.pipeline = new lunr.Pipeline + this.searchPipeline = new lunr.Pipeline + this.documentCount = 0 + this._b = 0.75 + this._k1 = 1.2 + this.termIndex = 0 + this.metadataAcceptedlist = [] +} + +/** + * Sets the document field used as the document reference. Every document must have this field. + * The type of this field in the document should be a string, if it is not a string it will be + * coerced into a string by calling toString. + * + * The default ref is 'id'. + * + * The ref should _not_ be changed during indexing, it should be set before any documents are + * added to the index. Changing it during indexing can lead to inconsistent results. + * + * @param {string} ref - The name of the reference field in the document. + */ +lunr.Builder.prototype.ref = function (ref) { + this._ref = ref +} + +/** + * Adds a field to the list of document fields that will be indexed. Every document being + * indexed should have this field. Null values for this field in indexed documents will + * not cause errors but will limit the chance of that document being retrieved by searches. + * + * All fields should be added before adding documents to the index. Adding fields after + * a document has been indexed will have no effect on already indexed documents. + * + * @param {string} field - The name of a field to index in all documents. + */ +lunr.Builder.prototype.field = function (field) { + this._fields.push(field) +} + +/** + * A parameter to tune the amount of field length normalisation that is applied when + * calculating relevance scores. A value of 0 will completely disable any normalisation + * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b + * will be clamped to the range 0 - 1. + * + * @param {number} number - The value to set for this tuning parameter. + */ +lunr.Builder.prototype.b = function (number) { + if (number < 0) { + this._b = 0 + } else if (number > 1) { + this._b = 1 + } else { + this._b = number + } +} + +/** + * A parameter that controls the speed at which a rise in term frequency results in term + * frequency saturation. The default value is 1.2. Setting this to a higher value will give + * slower saturation levels, a lower value will result in quicker saturation. + * + * @param {number} number - The value to set for this tuning parameter. + */ +lunr.Builder.prototype.k1 = function (number) { + this._k1 = number +} + +/** + * Adds a document to the index. + * + * Before adding fields to the index the index should have been fully setup, with the document + * ref and all fields to index already having been specified. + * + * The document must have a field name as specified by the ref (by default this is 'id') and + * it should have all fields defined for indexing, though null or undefined values will not + * cause errors. + * + * @param {object} doc - The document to add to the index. + */ +lunr.Builder.prototype.add = function (doc) { + var docRef = doc[this._ref] + + this.documentCount += 1 + + for (var i = 0; i < this._fields.length; i++) { + var fieldName = this._fields[i], + field = doc[fieldName], + tokens = this.tokenizer(field), + terms = this.pipeline.run(tokens), + fieldRef = new lunr.FieldRef (docRef, fieldName), + fieldTerms = Object.create(null) + + this.fieldTermFrequencies[fieldRef] = fieldTerms + this.fieldLengths[fieldRef] = 0 + + // store the length of this field for this document + this.fieldLengths[fieldRef] += terms.length + + // calculate term frequencies for this field + for (var j = 0; j < terms.length; j++) { + var term = terms[j] + + if (fieldTerms[term] == undefined) { + fieldTerms[term] = 0 + } + + fieldTerms[term] += 1 + + // add to inverted index + // create an initial posting if one doesn't exist + if (this.invertedIndex[term] == undefined) { + var posting = Object.create(null) + posting["_index"] = this.termIndex + this.termIndex += 1 + + for (var k = 0; k < this._fields.length; k++) { + posting[this._fields[k]] = Object.create(null) + } + + this.invertedIndex[term] = posting + } + + // add an entry for this term/fieldName/docRef to the invertedIndex + if (this.invertedIndex[term][fieldName][docRef] == undefined) { + this.invertedIndex[term][fieldName][docRef] = Object.create(null) + } + + // store all metadata about this token in the + // inverted index + for (var l = 0; l < this.metadataAcceptedlist.length; l++) { + var metadataKey = this.metadataAcceptedlist[l], + metadata = term.metadata[metadataKey] + + if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) { + this.invertedIndex[term][fieldName][docRef][metadataKey] = [] + } + + this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata) + } + } + + } +} + +/** + * Calculates the average document length for this index + * + * @private + */ +lunr.Builder.prototype.calculateAverageFieldLengths = function () { + + var fieldRefs = Object.keys(this.fieldLengths), + numberOfFields = fieldRefs.length, + accumulator = {}, + documentsWithField = {} + + for (var i = 0; i < numberOfFields; i++) { + var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), + field = fieldRef.fieldName + + documentsWithField[field] || (documentsWithField[field] = 0) + documentsWithField[field] += 1 + + accumulator[field] || (accumulator[field] = 0) + accumulator[field] += this.fieldLengths[fieldRef] + } + + for (var i = 0; i < this._fields.length; i++) { + var field = this._fields[i] + accumulator[field] = accumulator[field] / documentsWithField[field] + } + + this.averageFieldLength = accumulator +} + +/** + * Builds a vector space model of every document using lunr.Vector + * + * @private + */ +lunr.Builder.prototype.createFieldVectors = function () { + var fieldVectors = {}, + fieldRefs = Object.keys(this.fieldTermFrequencies), + fieldRefsLength = fieldRefs.length + + for (var i = 0; i < fieldRefsLength; i++) { + var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), + field = fieldRef.fieldName, + fieldLength = this.fieldLengths[fieldRef], + fieldVector = new lunr.Vector, + termFrequencies = this.fieldTermFrequencies[fieldRef], + terms = Object.keys(termFrequencies), + termsLength = terms.length + + for (var j = 0; j < termsLength; j++) { + var term = terms[j], + tf = termFrequencies[term], + termIndex = this.invertedIndex[term]._index, + idf = lunr.idf(this.invertedIndex[term], this.documentCount), + score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[field])) + tf), + scoreWithPrecision = Math.round(score * 1000) / 1000 + // Converts 1.23456789 to 1.234. + // Reducing the precision so that the vectors take up less + // space when serialized. Doing it now so that they behave + // the same before and after serialization. Also, this is + // the fastest approach to reducing a number's precision in + // JavaScript. + + fieldVector.insert(termIndex, scoreWithPrecision) + } + + fieldVectors[fieldRef] = fieldVector + } + + this.fieldVectors = fieldVectors +} + +/** + * Creates a token set of all tokens in the index using lunr.TokenSet + * + * @private + */ +lunr.Builder.prototype.createTokenSet = function () { + this.tokenSet = lunr.TokenSet.fromArray( + Object.keys(this.invertedIndex).sort() + ) +} + +/** + * Builds the index, creating an instance of lunr.Index. + * + * This completes the indexing process and should only be called + * once all documents have been added to the index. + * + * @private + * @returns {lunr.Index} + */ +lunr.Builder.prototype.build = function () { + this.calculateAverageFieldLengths() + this.createFieldVectors() + this.createTokenSet() + + return new lunr.Index({ + invertedIndex: this.invertedIndex, + fieldVectors: this.fieldVectors, + tokenSet: this.tokenSet, + fields: this._fields, + pipeline: this.searchPipeline + }) +} + +/** + * Applies a plugin to the index builder. + * + * A plugin is a function that is called with the index builder as its context. + * Plugins can be used to customize or extend the behavior of the index + * in some way. A plugin is just a function, that encapsulated the custom + * behavior that should be applied when building the index. + * + * The plugin function will be called with the index builder as its argument, additional + * arguments can also be passed when calling use. The function will be called + * with the index builder as its context. + * + * @param {Function} plugin The plugin to apply. + */ +lunr.Builder.prototype.use = function (fn) { + var args = Array.prototype.slice.call(arguments, 1) + args.unshift(this) + fn.apply(this, args) +} +/** + * Contains and collects metadata about a matching document. + * A single instance of lunr.MatchData is returned as part of every + * lunr.Index~Result. + * + * @constructor + * @param {string} term - The term this match data is associated with + * @param {string} field - The field in which the term was found + * @param {object} metadata - The metadata recorded about this term in this field + * @property {object} metadata - A cloned collection of metadata associated with this document. + * @see {@link lunr.Index~Result} + */ +lunr.MatchData = function (term, field, metadata) { + var clonedMetadata = Object.create(null), + metadataKeys = Object.keys(metadata) + + // Cloning the metadata to prevent the original + // being mutated during match data combination. + // Metadata is kept in an array within the inverted + // index so cloning the data can be done with + // Array#slice + for (var i = 0; i < metadataKeys.length; i++) { + var key = metadataKeys[i] + clonedMetadata[key] = metadata[key].slice() + } + + this.metadata = Object.create(null) + this.metadata[term] = Object.create(null) + this.metadata[term][field] = clonedMetadata +} + +/** + * An instance of lunr.MatchData will be created for every term that matches a + * document. However only one instance is required in a lunr.Index~Result. This + * method combines metadata from another instance of lunr.MatchData with this + * objects metadata. + * + * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one. + * @see {@link lunr.Index~Result} + */ +lunr.MatchData.prototype.combine = function (otherMatchData) { + var terms = Object.keys(otherMatchData.metadata) + + for (var i = 0; i < terms.length; i++) { + var term = terms[i], + fields = Object.keys(otherMatchData.metadata[term]) + + if (this.metadata[term] == undefined) { + this.metadata[term] = Object.create(null) + } + + for (var j = 0; j < fields.length; j++) { + var field = fields[j], + keys = Object.keys(otherMatchData.metadata[term][field]) + + if (this.metadata[term][field] == undefined) { + this.metadata[term][field] = Object.create(null) + } + + for (var k = 0; k < keys.length; k++) { + var key = keys[k] + + if (this.metadata[term][field][key] == undefined) { + this.metadata[term][field][key] = otherMatchData.metadata[term][field][key] + } else { + this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key]) + } + + } + } + } +} +/** + * A lunr.Query provides a programmatic way of defining queries to be performed + * against a {@link lunr.Index}. + * + * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method + * so the query object is pre-initialized with the right index fields. + * + * @constructor + * @property {lunr.Query~Clause[]} clauses - An array of query clauses. + * @property {string[]} allFields - An array of all available fields in a lunr.Index. + */ +lunr.Query = function (allFields) { + this.clauses = [] + this.allFields = allFields +} + +/** + * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause. + * + * This allows wildcards to be added to the beginning and end of a term without having to manually do any string + * concatenation. + * + * The wildcard constants can be bitwise combined to select both leading and trailing wildcards. + * + * @constant + * @default + * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behavior + * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists + * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists + * @see lunr.Query~Clause + * @see lunr.Query#clause + * @see lunr.Query#term + * @example query term with trailing wildcard + * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING }) + * @example query term with leading and trailing wildcard + * query.term('foo', { + * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING + * }) + */ +lunr.Query.wildcard = new String ("*") +lunr.Query.wildcard.NONE = 0 +lunr.Query.wildcard.LEADING = 1 +lunr.Query.wildcard.TRAILING = 2 + +/** + * A single clause in a {@link lunr.Query} contains a term and details on how to + * match that term against a {@link lunr.Index}. + * + * @typedef {Object} lunr.Query~Clause + * @property {string[]} fields - The fields in an index this clause should be matched against. + * @property {number} [boost=1] - Any boost that should be applied when matching this clause. + * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be. + * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline. + * @property {number} [wildcard=0] - Whether the term should have wildcards appended or prepended. + */ + +/** + * Adds a {@link lunr.Query~Clause} to this query. + * + * Unless the clause contains the fields to be matched all fields will be matched. In addition + * a default boost of 1 is applied to the clause. + * + * @param {lunr.Query~Clause} clause - The clause to add to this query. + * @see lunr.Query~Clause + * @returns {lunr.Query} + */ +lunr.Query.prototype.clause = function (clause) { + if (!('fields' in clause)) { + clause.fields = this.allFields + } + + if (!('boost' in clause)) { + clause.boost = 1 + } + + if (!('usePipeline' in clause)) { + clause.usePipeline = true + } + + if (!('wildcard' in clause)) { + clause.wildcard = lunr.Query.wildcard.NONE + } + + if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) { + clause.term = "*" + clause.term + } + + if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) { + clause.term = "" + clause.term + "*" + } + + this.clauses.push(clause) + + return this +} + +/** + * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause} + * to the list of clauses that make up this query. + * + * @param {string} term - The term to add to the query. + * @param {Object} [options] - Any additional properties to add to the query clause. + * @returns {lunr.Query} + * @see lunr.Query#clause + * @see lunr.Query~Clause + * @example adding a single term to a query + * query.term("foo") + * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard + * query.term("foo", { + * fields: ["title"], + * boost: 10, + * wildcard: lunr.Query.wildcard.TRAILING + * }) + */ +lunr.Query.prototype.term = function (term, options) { + var clause = options || {} + clause.term = term + + this.clause(clause) + + return this +} +lunr.QueryParseError = function (message, start, end) { + this.name = "QueryParseError" + this.message = message + this.start = start + this.end = end +} + +lunr.QueryParseError.prototype = new Error +lunr.QueryLexer = function (str) { + this.lexemes = [] + this.str = str + this.length = str.length + this.pos = 0 + this.start = 0 + this.escapeCharPositions = [] +} + +lunr.QueryLexer.prototype.run = function () { + var state = lunr.QueryLexer.lexText + + while (state) { + state = state(this) + } +} + +lunr.QueryLexer.prototype.sliceString = function () { + var subSlices = [], + sliceStart = this.start, + sliceEnd = this.pos + + for (var i = 0; i < this.escapeCharPositions.length; i++) { + sliceEnd = this.escapeCharPositions[i] + subSlices.push(this.str.slice(sliceStart, sliceEnd)) + sliceStart = sliceEnd + 1 + } + + subSlices.push(this.str.slice(sliceStart, this.pos)) + this.escapeCharPositions.length = 0 + + return subSlices.join('') +} + +lunr.QueryLexer.prototype.emit = function (type) { + this.lexemes.push({ + type: type, + str: this.sliceString(), + start: this.start, + end: this.pos + }) + + this.start = this.pos +} + +lunr.QueryLexer.prototype.escapeCharacter = function () { + this.escapeCharPositions.push(this.pos - 1) + this.pos += 1 +} + +lunr.QueryLexer.prototype.next = function () { + if (this.pos >= this.length) { + return lunr.QueryLexer.EOS + } + + var char = this.str.charAt(this.pos) + this.pos += 1 + return char +} + +lunr.QueryLexer.prototype.width = function () { + return this.pos - this.start +} + +lunr.QueryLexer.prototype.ignore = function () { + if (this.start == this.pos) { + this.pos += 1 + } + + this.start = this.pos +} + +lunr.QueryLexer.prototype.backup = function () { + this.pos -= 1 +} + +lunr.QueryLexer.prototype.acceptDigitRun = function () { + var char, charCode + + do { + char = this.next() + charCode = char.charCodeAt(0) + } while (charCode > 47 && charCode < 58) + + if (char != lunr.QueryLexer.EOS) { + this.backup() + } +} + +lunr.QueryLexer.prototype.more = function () { + return this.pos < this.length +} + +lunr.QueryLexer.EOS = 'EOS' +lunr.QueryLexer.FIELD = 'FIELD' +lunr.QueryLexer.TERM = 'TERM' +lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE' +lunr.QueryLexer.BOOST = 'BOOST' + +lunr.QueryLexer.lexField = function (lexer) { + lexer.backup() + lexer.emit(lunr.QueryLexer.FIELD) + lexer.ignore() + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexTerm = function (lexer) { + if (lexer.width() > 1) { + lexer.backup() + lexer.emit(lunr.QueryLexer.TERM) + } + + lexer.ignore() + + if (lexer.more()) { + return lunr.QueryLexer.lexText + } +} + +lunr.QueryLexer.lexEditDistance = function (lexer) { + lexer.ignore() + lexer.acceptDigitRun() + lexer.emit(lunr.QueryLexer.EDIT_DISTANCE) + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexBoost = function (lexer) { + lexer.ignore() + lexer.acceptDigitRun() + lexer.emit(lunr.QueryLexer.BOOST) + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexEOS = function (lexer) { + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } +} + +// This matches the separator used when tokenising fields +// within a document. These should match otherwise it is +// not possible to search for some tokens within a document. +// +// It is possible for the user to change the separator on the +// tokenizer so it _might_ clash with any other of the special +// characters already used within the search string, e.g. :. +// +// This means that it is possible to change the separator in +// such a way that makes some words unsearchable using a search +// string. +lunr.QueryLexer.termSeparator = lunr.tokenizer.separator + +lunr.QueryLexer.lexText = function (lexer) { + while (true) { + var char = lexer.next() + + if (char == lunr.QueryLexer.EOS) { + return lunr.QueryLexer.lexEOS + } + + // Escape character is '\' + if (char.charCodeAt(0) == 92) { + lexer.escapeCharacter() + continue + } + + if (char == ":") { + return lunr.QueryLexer.lexField + } + + if (char == "~") { + lexer.backup() + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } + return lunr.QueryLexer.lexEditDistance + } + + if (char == "^") { + lexer.backup() + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } + return lunr.QueryLexer.lexBoost + } + + if (char.match(lunr.QueryLexer.termSeparator)) { + return lunr.QueryLexer.lexTerm + } + } +} + +lunr.QueryParser = function (str, query) { + this.lexer = new lunr.QueryLexer (str) + this.query = query + this.currentClause = {} + this.lexemeIdx = 0 +} + +lunr.QueryParser.prototype.parse = function () { + this.lexer.run() + this.lexemes = this.lexer.lexemes + + var state = lunr.QueryParser.parseFieldOrTerm + + while (state) { + state = state(this) + } + + return this.query +} + +lunr.QueryParser.prototype.peekLexeme = function () { + return this.lexemes[this.lexemeIdx] +} + +lunr.QueryParser.prototype.consumeLexeme = function () { + var lexeme = this.peekLexeme() + this.lexemeIdx += 1 + return lexeme +} + +lunr.QueryParser.prototype.nextClause = function () { + var completedClause = this.currentClause + this.query.clause(completedClause) + this.currentClause = {} +} + +lunr.QueryParser.parseFieldOrTerm = function (parser) { + var lexeme = parser.peekLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.type) { + case lunr.QueryLexer.FIELD: + return lunr.QueryParser.parseField + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expected either a field or a term, found " + lexeme.type + + if (lexeme.str.length >= 1) { + errorMessage += " with value '" + lexeme.str + "'" + } + + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } +} + +lunr.QueryParser.parseField = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + if (parser.query.allFields.indexOf(lexeme.str) == -1) { + var possibleFields = parser.query.allFields.map(function (f) { return "'" + f + "'" }).join(', '), + errorMessage = "unrecognized field '" + lexeme.str + "', possible fields: " + possibleFields + + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.fields = [lexeme.str] + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + var errorMessage = "expecting term, found nothing" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expecting term, found '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseTerm = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + parser.currentClause.term = lexeme.str.toLowerCase() + + if (lexeme.str.indexOf("*") != -1) { + parser.currentClause.usePipeline = false + } + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseEditDistance = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + var editDistance = parseInt(lexeme.str, 10) + + if (isNaN(editDistance)) { + var errorMessage = "edit distance must be numeric" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.editDistance = editDistance + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseBoost = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + var boost = parseInt(lexeme.str, 10) + + if (isNaN(boost)) { + var errorMessage = "boost must be numeric" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.boost = boost + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + + /** + * export the module via AMD, CommonJS or as a browser global + * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js + */ + ;(function (root, factory) { + if (typeof define === 'function' && define.amd) { + // AMD. Register as an anonymous module. + define(factory) + } else if (typeof exports === 'object') { + /** + * Node. Does not work with strict CommonJS, but + * only CommonJS-like environments that support module.exports, + * like Node. + */ + module.exports = factory() + } else { + // Browser globals (root is window) + root.lunr = factory() + } + }(this, function () { + /** + * Just return a value to define the module export. + * This example returns an object, but the module + * can return a function as the exported value. + */ + return lunr + })) +})(); diff --git a/docs/api/csharp/styles/lunr.min.js b/docs/api/csharp/styles/lunr.min.js new file mode 100644 index 0000000000000..9ba93099864f3 --- /dev/null +++ b/docs/api/csharp/styles/lunr.min.js @@ -0,0 +1 @@ +(function(){var lunr=function(config){var builder=new lunr.Builder;builder.pipeline.add(lunr.trimmer,lunr.stopWordFilter,lunr.stemmer);builder.searchPipeline.add(lunr.stemmer);config.call(builder,builder);return builder.build()};lunr.version="2.1.2";lunr.utils={};lunr.utils.warn=function(global){return function(message){if(global.console&&console.warn){console.warn(message)}}}(this);lunr.utils.asString=function(obj){if(obj===void 0||obj===null){return""}else{return obj.toString()}};lunr.FieldRef=function(docRef,fieldName){this.docRef=docRef;this.fieldName=fieldName;this._stringValue=fieldName+lunr.FieldRef.joiner+docRef};lunr.FieldRef.joiner="/";lunr.FieldRef.fromString=function(s){var n=s.indexOf(lunr.FieldRef.joiner);if(n===-1){throw"malformed field ref string"}var fieldRef=s.slice(0,n),docRef=s.slice(n+1);return new lunr.FieldRef(docRef,fieldRef)};lunr.FieldRef.prototype.toString=function(){return this._stringValue};lunr.idf=function(posting,documentCount){var documentsWithTerm=0;for(var fieldName in posting){if(fieldName=="_index")continue;documentsWithTerm+=Object.keys(posting[fieldName]).length}var x=(documentCount-documentsWithTerm+.5)/(documentsWithTerm+.5);return Math.log(1+Math.abs(x))};lunr.Token=function(str,metadata){this.str=str||"";this.metadata=metadata||{}};lunr.Token.prototype.toString=function(){return this.str};lunr.Token.prototype.update=function(fn){this.str=fn(this.str,this.metadata);return this};lunr.Token.prototype.clone=function(fn){fn=fn||function(s){return s};return new lunr.Token(fn(this.str,this.metadata),this.metadata)};lunr.tokenizer=function(obj){if(obj==null||obj==undefined){return[]}if(Array.isArray(obj)){return obj.map((function(t){return new lunr.Token(lunr.utils.asString(t).toLowerCase())}))}var str=obj.toString().trim().toLowerCase(),len=str.length,tokens=[];for(var sliceEnd=0,sliceStart=0;sliceEnd<=len;sliceEnd++){var char=str.charAt(sliceEnd),sliceLength=sliceEnd-sliceStart;if(char.match(lunr.tokenizer.separator)||sliceEnd==len){if(sliceLength>0){tokens.push(new lunr.Token(str.slice(sliceStart,sliceEnd),{position:[sliceStart,sliceLength],index:tokens.length}))}sliceStart=sliceEnd+1}}return tokens};lunr.tokenizer.separator=/[\s\-]+/;lunr.Pipeline=function(){this._stack=[]};lunr.Pipeline.registeredFunctions=Object.create(null);lunr.Pipeline.registerFunction=function(fn,label){if(label in this.registeredFunctions){lunr.utils.warn("Overwriting existing registered function: "+label)}fn.label=label;lunr.Pipeline.registeredFunctions[fn.label]=fn};lunr.Pipeline.warnIfFunctionNotRegistered=function(fn){var isRegistered=fn.label&&fn.label in this.registeredFunctions;if(!isRegistered){lunr.utils.warn("Function is not registered with pipeline. This may cause problems when serializing the index.\n",fn)}};lunr.Pipeline.load=function(serialized){var pipeline=new lunr.Pipeline;serialized.forEach((function(fnName){var fn=lunr.Pipeline.registeredFunctions[fnName];if(fn){pipeline.add(fn)}else{throw new Error("Cannot load unregistered function: "+fnName)}}));return pipeline};lunr.Pipeline.prototype.add=function(){var fns=Array.prototype.slice.call(arguments);fns.forEach((function(fn){lunr.Pipeline.warnIfFunctionNotRegistered(fn);this._stack.push(fn)}),this)};lunr.Pipeline.prototype.after=function(existingFn,newFn){lunr.Pipeline.warnIfFunctionNotRegistered(newFn);var pos=this._stack.indexOf(existingFn);if(pos==-1){throw new Error("Cannot find existingFn")}pos=pos+1;this._stack.splice(pos,0,newFn)};lunr.Pipeline.prototype.before=function(existingFn,newFn){lunr.Pipeline.warnIfFunctionNotRegistered(newFn);var pos=this._stack.indexOf(existingFn);if(pos==-1){throw new Error("Cannot find existingFn")}this._stack.splice(pos,0,newFn)};lunr.Pipeline.prototype.remove=function(fn){var pos=this._stack.indexOf(fn);if(pos==-1){return}this._stack.splice(pos,1)};lunr.Pipeline.prototype.run=function(tokens){var stackLength=this._stack.length;for(var i=0;i1){if(pivotIndexindex){end=pivotPoint}if(pivotIndex==index){break}sliceLength=end-start;pivotPoint=start+Math.floor(sliceLength/2);pivotIndex=this.elements[pivotPoint*2]}if(pivotIndex==index){return pivotPoint*2}if(pivotIndex>index){return pivotPoint*2}if(pivotIndexbVal){j+=2}else if(aVal==bVal){dotProduct+=a[i+1]*b[j+1];i+=2;j+=2}}return dotProduct};lunr.Vector.prototype.similarity=function(otherVector){return this.dot(otherVector)/(this.magnitude()*otherVector.magnitude())};lunr.Vector.prototype.toArray=function(){var output=new Array(this.elements.length/2);for(var i=1,j=0;i0){var char=frame.str.charAt(0),noEditNode;if(char in frame.node.edges){noEditNode=frame.node.edges[char]}else{noEditNode=new lunr.TokenSet;frame.node.edges[char]=noEditNode}if(frame.str.length==1){noEditNode.final=true}else{stack.push({node:noEditNode,editsRemaining:frame.editsRemaining,str:frame.str.slice(1)})}}if(frame.editsRemaining>0&&frame.str.length>1){var char=frame.str.charAt(1),deletionNode;if(char in frame.node.edges){deletionNode=frame.node.edges[char]}else{deletionNode=new lunr.TokenSet;frame.node.edges[char]=deletionNode}if(frame.str.length<=2){deletionNode.final=true}else{stack.push({node:deletionNode,editsRemaining:frame.editsRemaining-1,str:frame.str.slice(2)})}}if(frame.editsRemaining>0&&frame.str.length==1){frame.node.final=true}if(frame.editsRemaining>0&&frame.str.length>=1){if("*"in frame.node.edges){var substitutionNode=frame.node.edges["*"]}else{var substitutionNode=new lunr.TokenSet;frame.node.edges["*"]=substitutionNode}if(frame.str.length==1){substitutionNode.final=true}else{stack.push({node:substitutionNode,editsRemaining:frame.editsRemaining-1,str:frame.str.slice(1)})}}if(frame.editsRemaining>0){if("*"in frame.node.edges){var insertionNode=frame.node.edges["*"]}else{var insertionNode=new lunr.TokenSet;frame.node.edges["*"]=insertionNode}if(frame.str.length==0){insertionNode.final=true}else{stack.push({node:insertionNode,editsRemaining:frame.editsRemaining-1,str:frame.str})}}if(frame.editsRemaining>0&&frame.str.length>1){var charA=frame.str.charAt(0),charB=frame.str.charAt(1),transposeNode;if(charB in frame.node.edges){transposeNode=frame.node.edges[charB]}else{transposeNode=new lunr.TokenSet;frame.node.edges[charB]=transposeNode}if(frame.str.length==1){transposeNode.final=true}else{stack.push({node:transposeNode,editsRemaining:frame.editsRemaining-1,str:charA+frame.str.slice(2)})}}}return root};lunr.TokenSet.fromString=function(str){var node=new lunr.TokenSet,root=node,wildcardFound=false;for(var i=0,len=str.length;i=downTo;i--){var node=this.uncheckedNodes[i],childKey=node.child.toString();if(childKey in this.minimizedNodes){node.parent.edges[node.char]=this.minimizedNodes[childKey]}else{node.child._str=childKey;this.minimizedNodes[childKey]=node.child}this.uncheckedNodes.pop()}};lunr.Index=function(attrs){this.invertedIndex=attrs.invertedIndex;this.fieldVectors=attrs.fieldVectors;this.tokenSet=attrs.tokenSet;this.fields=attrs.fields;this.pipeline=attrs.pipeline};lunr.Index.prototype.search=function(queryString){return this.query((function(query){var parser=new lunr.QueryParser(queryString,query);parser.parse()}))};lunr.Index.prototype.query=function(fn){var query=new lunr.Query(this.fields),matchingFields=Object.create(null),queryVectors=Object.create(null);fn.call(query,query);for(var i=0;i1){this._b=1}else{this._b=number}};lunr.Builder.prototype.k1=function(number){this._k1=number};lunr.Builder.prototype.add=function(doc){var docRef=doc[this._ref];this.documentCount+=1;for(var i=0;i=this.length){return lunr.QueryLexer.EOS}var char=this.str.charAt(this.pos);this.pos+=1;return char};lunr.QueryLexer.prototype.width=function(){return this.pos-this.start};lunr.QueryLexer.prototype.ignore=function(){if(this.start==this.pos){this.pos+=1}this.start=this.pos};lunr.QueryLexer.prototype.backup=function(){this.pos-=1};lunr.QueryLexer.prototype.acceptDigitRun=function(){var char,charCode;do{char=this.next();charCode=char.charCodeAt(0)}while(charCode>47&&charCode<58);if(char!=lunr.QueryLexer.EOS){this.backup()}};lunr.QueryLexer.prototype.more=function(){return this.pos1){lexer.backup();lexer.emit(lunr.QueryLexer.TERM)}lexer.ignore();if(lexer.more()){return lunr.QueryLexer.lexText}};lunr.QueryLexer.lexEditDistance=function(lexer){lexer.ignore();lexer.acceptDigitRun();lexer.emit(lunr.QueryLexer.EDIT_DISTANCE);return lunr.QueryLexer.lexText};lunr.QueryLexer.lexBoost=function(lexer){lexer.ignore();lexer.acceptDigitRun();lexer.emit(lunr.QueryLexer.BOOST);return lunr.QueryLexer.lexText};lunr.QueryLexer.lexEOS=function(lexer){if(lexer.width()>0){lexer.emit(lunr.QueryLexer.TERM)}};lunr.QueryLexer.termSeparator=lunr.tokenizer.separator;lunr.QueryLexer.lexText=function(lexer){while(true){var char=lexer.next();if(char==lunr.QueryLexer.EOS){return lunr.QueryLexer.lexEOS}if(char.charCodeAt(0)==92){lexer.escapeCharacter();continue}if(char==":"){return lunr.QueryLexer.lexField}if(char=="~"){lexer.backup();if(lexer.width()>0){lexer.emit(lunr.QueryLexer.TERM)}return lunr.QueryLexer.lexEditDistance}if(char=="^"){lexer.backup();if(lexer.width()>0){lexer.emit(lunr.QueryLexer.TERM)}return lunr.QueryLexer.lexBoost}if(char.match(lunr.QueryLexer.termSeparator)){return lunr.QueryLexer.lexTerm}}};lunr.QueryParser=function(str,query){this.lexer=new lunr.QueryLexer(str);this.query=query;this.currentClause={};this.lexemeIdx=0};lunr.QueryParser.prototype.parse=function(){this.lexer.run();this.lexemes=this.lexer.lexemes;var state=lunr.QueryParser.parseFieldOrTerm;while(state){state=state(this)}return this.query};lunr.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]};lunr.QueryParser.prototype.consumeLexeme=function(){var lexeme=this.peekLexeme();this.lexemeIdx+=1;return lexeme};lunr.QueryParser.prototype.nextClause=function(){var completedClause=this.currentClause;this.query.clause(completedClause);this.currentClause={}};lunr.QueryParser.parseFieldOrTerm=function(parser){var lexeme=parser.peekLexeme();if(lexeme==undefined){return}switch(lexeme.type){case lunr.QueryLexer.FIELD:return lunr.QueryParser.parseField;case lunr.QueryLexer.TERM:return lunr.QueryParser.parseTerm;default:var errorMessage="expected either a field or a term, found "+lexeme.type;if(lexeme.str.length>=1){errorMessage+=" with value '"+lexeme.str+"'"}throw new lunr.QueryParseError(errorMessage,lexeme.start,lexeme.end)}};lunr.QueryParser.parseField=function(parser){var lexeme=parser.consumeLexeme();if(lexeme==undefined){return}if(parser.query.allFields.indexOf(lexeme.str)==-1){var possibleFields=parser.query.allFields.map((function(f){return"'"+f+"'"})).join(", "),errorMessage="unrecognized field '"+lexeme.str+"', possible fields: "+possibleFields;throw new lunr.QueryParseError(errorMessage,lexeme.start,lexeme.end)}parser.currentClause.fields=[lexeme.str];var nextLexeme=parser.peekLexeme();if(nextLexeme==undefined){var errorMessage="expecting term, found nothing";throw new lunr.QueryParseError(errorMessage,lexeme.start,lexeme.end)}switch(nextLexeme.type){case lunr.QueryLexer.TERM:return lunr.QueryParser.parseTerm;default:var errorMessage="expecting term, found '"+nextLexeme.type+"'";throw new lunr.QueryParseError(errorMessage,nextLexeme.start,nextLexeme.end)}};lunr.QueryParser.parseTerm=function(parser){var lexeme=parser.consumeLexeme();if(lexeme==undefined){return}parser.currentClause.term=lexeme.str.toLowerCase();if(lexeme.str.indexOf("*")!=-1){parser.currentClause.usePipeline=false}var nextLexeme=parser.peekLexeme();if(nextLexeme==undefined){parser.nextClause();return}switch(nextLexeme.type){case lunr.QueryLexer.TERM:parser.nextClause();return lunr.QueryParser.parseTerm;case lunr.QueryLexer.FIELD:parser.nextClause();return lunr.QueryParser.parseField;case lunr.QueryLexer.EDIT_DISTANCE:return lunr.QueryParser.parseEditDistance;case lunr.QueryLexer.BOOST:return lunr.QueryParser.parseBoost;default:var errorMessage="Unexpected lexeme type '"+nextLexeme.type+"'";throw new lunr.QueryParseError(errorMessage,nextLexeme.start,nextLexeme.end)}};lunr.QueryParser.parseEditDistance=function(parser){var lexeme=parser.consumeLexeme();if(lexeme==undefined){return}var editDistance=parseInt(lexeme.str,10);if(isNaN(editDistance)){var errorMessage="edit distance must be numeric";throw new lunr.QueryParseError(errorMessage,lexeme.start,lexeme.end)}parser.currentClause.editDistance=editDistance;var nextLexeme=parser.peekLexeme();if(nextLexeme==undefined){parser.nextClause();return}switch(nextLexeme.type){case lunr.QueryLexer.TERM:parser.nextClause();return lunr.QueryParser.parseTerm;case lunr.QueryLexer.FIELD:parser.nextClause();return lunr.QueryParser.parseField;case lunr.QueryLexer.EDIT_DISTANCE:return lunr.QueryParser.parseEditDistance;case lunr.QueryLexer.BOOST:return lunr.QueryParser.parseBoost;default:var errorMessage="Unexpected lexeme type '"+nextLexeme.type+"'";throw new lunr.QueryParseError(errorMessage,nextLexeme.start,nextLexeme.end)}};lunr.QueryParser.parseBoost=function(parser){var lexeme=parser.consumeLexeme();if(lexeme==undefined){return}var boost=parseInt(lexeme.str,10);if(isNaN(boost)){var errorMessage="boost must be numeric";throw new lunr.QueryParseError(errorMessage,lexeme.start,lexeme.end)}parser.currentClause.boost=boost;var nextLexeme=parser.peekLexeme();if(nextLexeme==undefined){parser.nextClause();return}switch(nextLexeme.type){case lunr.QueryLexer.TERM:parser.nextClause();return lunr.QueryParser.parseTerm;case lunr.QueryLexer.FIELD:parser.nextClause();return lunr.QueryParser.parseField;case lunr.QueryLexer.EDIT_DISTANCE:return lunr.QueryParser.parseEditDistance;case lunr.QueryLexer.BOOST:return lunr.QueryParser.parseBoost;default:var errorMessage="Unexpected lexeme type '"+nextLexeme.type+"'";throw new lunr.QueryParseError(errorMessage,nextLexeme.start,nextLexeme.end)}};(function(root,factory){if(typeof define==="function"&&define.amd){define(factory)}else if(typeof exports==="object"){module.exports=factory()}else{root.lunr=factory()}})(this,(function(){return lunr}))})(); diff --git a/docs/api/csharp/styles/main.css b/docs/api/csharp/styles/main.css new file mode 100644 index 0000000000000..e69de29bb2d1d diff --git a/docs/api/csharp/styles/main.js b/docs/api/csharp/styles/main.js new file mode 100644 index 0000000000000..aeca70d8515d1 --- /dev/null +++ b/docs/api/csharp/styles/main.js @@ -0,0 +1 @@ +// Copyright (c) Microsoft. All rights reserved. Licensed under the MIT license. See LICENSE file in the project root for full license information. diff --git a/docs/api/csharp/styles/search-worker.js b/docs/api/csharp/styles/search-worker.js new file mode 100644 index 0000000000000..60852af4cef6f --- /dev/null +++ b/docs/api/csharp/styles/search-worker.js @@ -0,0 +1,80 @@ +(function () { + importScripts('lunr.min.js'); + + var lunrIndex; + + var stopWords = null; + var searchData = {}; + + lunr.tokenizer.separator = /[\s\-\.\(\)]+/; + + var stopWordsRequest = new XMLHttpRequest(); + stopWordsRequest.open('GET', '../search-stopwords.json'); + stopWordsRequest.onload = function () { + if (this.status != 200) { + return; + } + stopWords = JSON.parse(this.responseText); + buildIndex(); + } + stopWordsRequest.send(); + + var searchDataRequest = new XMLHttpRequest(); + + searchDataRequest.open('GET', '../index.json'); + searchDataRequest.onload = function () { + if (this.status != 200) { + return; + } + searchData = JSON.parse(this.responseText); + + buildIndex(); + + postMessage({ e: 'index-ready' }); + } + searchDataRequest.send(); + + onmessage = function (oEvent) { + var q = oEvent.data.q; + var hits = lunrIndex.search(q); + var results = []; + hits.forEach(function (hit) { + var item = searchData[hit.ref]; + results.push({ 'href': item.href, 'title': item.title, 'keywords': item.keywords }); + }); + postMessage({ e: 'query-ready', q: q, d: results }); + } + + function buildIndex() { + if (stopWords !== null && !isEmpty(searchData)) { + lunrIndex = lunr(function () { + this.pipeline.remove(lunr.stopWordFilter); + this.ref('href'); + this.field('title', { boost: 50 }); + this.field('keywords', { boost: 20 }); + + for (var prop in searchData) { + if (searchData.hasOwnProperty(prop)) { + this.add(searchData[prop]); + } + } + + var docfxStopWordFilter = lunr.generateStopWordFilter(stopWords); + lunr.Pipeline.registerFunction(docfxStopWordFilter, 'docfxStopWordFilter'); + this.pipeline.add(docfxStopWordFilter); + this.searchPipeline.add(docfxStopWordFilter); + }); + } + } + + function isEmpty(obj) { + if(!obj) return true; + + for (var prop in obj) { + if (obj.hasOwnProperty(prop)) + return false; + } + + return true; + } +})(); diff --git a/docs/api/csharp/toc.html b/docs/api/csharp/toc.html new file mode 100644 index 0000000000000..78ee1f28c7f79 --- /dev/null +++ b/docs/api/csharp/toc.html @@ -0,0 +1,22 @@ + +
+
+
+
+ + + +
+
+
+ +
+
+
\ No newline at end of file diff --git a/docs/api/csharp/xrefmap.yml b/docs/api/csharp/xrefmap.yml new file mode 100644 index 0000000000000..3fe1dd966791f --- /dev/null +++ b/docs/api/csharp/xrefmap.yml @@ -0,0 +1,5481 @@ +### YamlMime:XRefMap +sorted: true +references: +- uid: Microsoft.ML.OnnxRuntime + name: Microsoft.ML.OnnxRuntime + href: api/Microsoft.ML.OnnxRuntime.html + commentId: N:Microsoft.ML.OnnxRuntime + fullName: Microsoft.ML.OnnxRuntime + nameWithType: Microsoft.ML.OnnxRuntime +- uid: Microsoft.ML.OnnxRuntime.CoreMLFlags + name: CoreMLFlags + href: api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html + commentId: T:Microsoft.ML.OnnxRuntime.CoreMLFlags + fullName: Microsoft.ML.OnnxRuntime.CoreMLFlags + nameWithType: CoreMLFlags +- uid: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_ENABLE_ON_SUBGRAPH + name: COREML_FLAG_ENABLE_ON_SUBGRAPH + href: api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html#Microsoft_ML_OnnxRuntime_CoreMLFlags_COREML_FLAG_ENABLE_ON_SUBGRAPH + commentId: F:Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_ENABLE_ON_SUBGRAPH + fullName: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_ENABLE_ON_SUBGRAPH + nameWithType: CoreMLFlags.COREML_FLAG_ENABLE_ON_SUBGRAPH +- uid: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_LAST + name: COREML_FLAG_LAST + href: api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html#Microsoft_ML_OnnxRuntime_CoreMLFlags_COREML_FLAG_LAST + commentId: F:Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_LAST + fullName: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_LAST + nameWithType: CoreMLFlags.COREML_FLAG_LAST +- uid: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE + name: COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE + href: api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html#Microsoft_ML_OnnxRuntime_CoreMLFlags_COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE + commentId: F:Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE + fullName: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE + nameWithType: CoreMLFlags.COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE +- uid: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_USE_CPU_ONLY + name: COREML_FLAG_USE_CPU_ONLY + href: api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html#Microsoft_ML_OnnxRuntime_CoreMLFlags_COREML_FLAG_USE_CPU_ONLY + commentId: F:Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_USE_CPU_ONLY + fullName: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_USE_CPU_ONLY + nameWithType: CoreMLFlags.COREML_FLAG_USE_CPU_ONLY +- uid: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_USE_NONE + name: COREML_FLAG_USE_NONE + href: api/Microsoft.ML.OnnxRuntime.CoreMLFlags.html#Microsoft_ML_OnnxRuntime_CoreMLFlags_COREML_FLAG_USE_NONE + commentId: F:Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_USE_NONE + fullName: Microsoft.ML.OnnxRuntime.CoreMLFlags.COREML_FLAG_USE_NONE + nameWithType: CoreMLFlags.COREML_FLAG_USE_NONE +- uid: 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