onnxruntime/docs/api/csharp/api/Microsoft.ML.OnnxRuntime.OrtValue.html
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<article class="content wrap" id="_content" data-uid="Microsoft.ML.OnnxRuntime.OrtValue">
<h1 id="Microsoft_ML_OnnxRuntime_OrtValue" data-uid="Microsoft.ML.OnnxRuntime.OrtValue" class="text-break">Class OrtValue
</h1>
<div class="markdown level0 summary"><p>Represents a disposable OrtValue.
This class exposes a native instance of OrtValue.
The class implements IDisposable via SafeHandle and must
be disposed.</p>
</div>
<div class="markdown level0 conceptual"></div>
<div class="inheritance">
<h5>Inheritance</h5>
<div class="level0"><span class="xref">System.Object</span></div>
<div class="level1"><span class="xref">OrtValue</span></div>
</div>
<h6><strong>Namespace</strong>: <a class="xref" href="Microsoft.ML.OnnxRuntime.html">Microsoft.ML.OnnxRuntime</a></h6>
<h6><strong>Assembly</strong>: cs.temp.dll.dll</h6>
<h5 id="Microsoft_ML_OnnxRuntime_OrtValue_syntax">Syntax</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public class OrtValue : SafeHandle</code></pre>
</div>
<h3 id="properties">Properties
</h3>
<a id="Microsoft_ML_OnnxRuntime_OrtValue_IsInvalid_" data-uid="Microsoft.ML.OnnxRuntime.OrtValue.IsInvalid*"></a>
<h4 id="Microsoft_ML_OnnxRuntime_OrtValue_IsInvalid" data-uid="Microsoft.ML.OnnxRuntime.OrtValue.IsInvalid">IsInvalid</h4>
<div class="markdown level1 summary"><p>Overrides SafeHandle.IsInvalid</p>
</div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public override bool IsInvalid { get; }</code></pre>
</div>
<h5 class="propertyValue">Property Value</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">System.Boolean</span></td>
<td><p>returns true if handle is equal to Zero</p>
</td>
</tr>
</tbody>
</table>
<h3 id="methods">Methods
</h3>
<a id="Microsoft_ML_OnnxRuntime_OrtValue_CreateFromTensorObject_" data-uid="Microsoft.ML.OnnxRuntime.OrtValue.CreateFromTensorObject*"></a>
<h4 id="Microsoft_ML_OnnxRuntime_OrtValue_CreateFromTensorObject_Object_System_Nullable_MemoryHandle___TensorElementType__" data-uid="Microsoft.ML.OnnxRuntime.OrtValue.CreateFromTensorObject(Object,System.Nullable{MemoryHandle}@,TensorElementType@)">CreateFromTensorObject(Object, out Nullable&lt;MemoryHandle&gt;, out TensorElementType)</h4>
<div class="markdown level1 summary"><p>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.</p>
</div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public static OrtValue CreateFromTensorObject(Object value, out MemoryHandle? memoryHandle, out TensorElementType elementType)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">Object</span></td>
<td><span class="parametername">value</span></td>
<td><p>Tensor object</p>
</td>
</tr>
<tr>
<td><span class="xref">System.Nullable</span>&lt;<span class="xref">MemoryHandle</span>&gt;</td>
<td><span class="parametername">memoryHandle</span></td>
<td><p>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.</p>
</td>
</tr>
<tr>
<td><span class="xref">TensorElementType</span></td>
<td><span class="parametername">elementType</span></td>
<td><p>discovered tensor element type</p>
</td>
</tr>
</tbody>
</table>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><a class="xref" href="Microsoft.ML.OnnxRuntime.OrtValue.html">OrtValue</a></td>
<td><p>And instance of OrtValue constructed on top of the object</p>
</td>
</tr>
</tbody>
</table>
<a id="Microsoft_ML_OnnxRuntime_OrtValue_CreateTensorValueWithData_" data-uid="Microsoft.ML.OnnxRuntime.OrtValue.CreateTensorValueWithData*"></a>
<h4 id="Microsoft_ML_OnnxRuntime_OrtValue_CreateTensorValueWithData_Microsoft_ML_OnnxRuntime_OrtMemoryInfo_TensorElementType_System_Int64___IntPtr_System_Int64_" data-uid="Microsoft.ML.OnnxRuntime.OrtValue.CreateTensorValueWithData(Microsoft.ML.OnnxRuntime.OrtMemoryInfo,TensorElementType,System.Int64[],IntPtr,System.Int64)">CreateTensorValueWithData(OrtMemoryInfo, TensorElementType, Int64[], IntPtr, Int64)</h4>
<div class="markdown level1 summary"><p>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.</p>
<p>The resulting OrtValue does not own the underlying memory buffer and will not attempt to
deallocate it.</p>
</div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public static OrtValue CreateTensorValueWithData(OrtMemoryInfo memInfo, TensorElementType elementType, long[] shape, IntPtr dataBuffer, long bufferLength)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><a class="xref" href="Microsoft.ML.OnnxRuntime.OrtMemoryInfo.html">OrtMemoryInfo</a></td>
<td><span class="parametername">memInfo</span></td>
<td><p>Memory Info. For managed memory it is a default cpu.
For Native memory must be obtained from the allocator or OrtMemoryAllocation instance</p>
</td>
</tr>
<tr>
<td><span class="xref">TensorElementType</span></td>
<td><span class="parametername">elementType</span></td>
<td><p>DataType for the Tensor</p>
</td>
</tr>
<tr>
<td><span class="xref">System.Int64</span>[]</td>
<td><span class="parametername">shape</span></td>
<td><p>Tensor shape</p>
</td>
</tr>
<tr>
<td><span class="xref">IntPtr</span></td>
<td><span class="parametername">dataBuffer</span></td>
<td><p>Pointer to a raw memory buffer</p>
</td>
</tr>
<tr>
<td><span class="xref">System.Int64</span></td>
<td><span class="parametername">bufferLength</span></td>
<td><p>Buffer length in bytes</p>
</td>
</tr>
</tbody>
</table>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><a class="xref" href="Microsoft.ML.OnnxRuntime.OrtValue.html">OrtValue</a></td>
<td><p>A disposable instance of OrtValue</p>
</td>
</tr>
</tbody>
</table>
<a id="Microsoft_ML_OnnxRuntime_OrtValue_ReleaseHandle_" data-uid="Microsoft.ML.OnnxRuntime.OrtValue.ReleaseHandle*"></a>
<h4 id="Microsoft_ML_OnnxRuntime_OrtValue_ReleaseHandle" data-uid="Microsoft.ML.OnnxRuntime.OrtValue.ReleaseHandle">ReleaseHandle()</h4>
<div class="markdown level1 summary"><p>Overrides SafeHandle.ReleaseHandle() to properly dispose of
the native instance of OrtValue</p>
</div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">protected override bool ReleaseHandle()</code></pre>
</div>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
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<td><span class="xref">System.Boolean</span></td>
<td><p>always returns true</p>
</td>
</tr>
</tbody>
</table>
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