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<pre>public class <span class="typeNameLabel">TensorInfo</span>
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extends java.lang.Object
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implements <a href="../../ai/onnxruntime/ValueInfo.html" title="interface in ai.onnxruntime">ValueInfo</a></pre>
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<div class="block">Describes an <a href="../../ai/onnxruntime/OnnxTensor.html" title="class in ai.onnxruntime"><code>OnnxTensor</code></a>, including it's size, shape and element type.</div>
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<td class="colFirst"><code>static class </code></td>
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<div class="block">The native element types supported by the ONNX runtime.</div>
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<td class="colFirst"><code>static int</code></td>
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<td class="colFirst"><code><a href="../../ai/onnxruntime/TensorInfo.OnnxTensorType.html" title="enum in ai.onnxruntime">TensorInfo.OnnxTensorType</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/TensorInfo.html#onnxType">onnxType</a></span></code>
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<div class="block">The native type of this tensor.</div>
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<td class="colFirst"><code><a href="../../ai/onnxruntime/OnnxJavaType.html" title="enum in ai.onnxruntime">OnnxJavaType</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/TensorInfo.html#type">type</a></span></code>
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<div class="block">The Java type of this tensor.</div>
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<td class="colFirst"><code>static <a href="../../ai/onnxruntime/TensorInfo.html" title="class in ai.onnxruntime">TensorInfo</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/TensorInfo.html#constructFromBuffer-java.nio.Buffer-long:A-ai.onnxruntime.OnnxJavaType-">constructFromBuffer</a></span>(java.nio.Buffer buffer,
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long[] shape,
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<a href="../../ai/onnxruntime/OnnxJavaType.html" title="enum in ai.onnxruntime">OnnxJavaType</a> type)</code>
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<div class="block">Constructs a TensorInfo from the supplied byte buffer.</div>
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<td class="colFirst"><code>static <a href="../../ai/onnxruntime/TensorInfo.html" title="class in ai.onnxruntime">TensorInfo</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/TensorInfo.html#constructFromJavaArray-java.lang.Object-">constructFromJavaArray</a></span>(java.lang.Object obj)</code>
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<div class="block">Constructs a TensorInfo from the supplied multidimensional Java array,
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<td class="colFirst"><code>long[]</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/TensorInfo.html#getShape--">getShape</a></span>()</code>
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<div class="block">Get a copy of the tensor's shape.</div>
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<td class="colFirst"><code>boolean</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/TensorInfo.html#isScalar--">isScalar</a></span>()</code>
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<div class="block">Returns true if the shape represents a scalar value (i.e.</div>
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<td class="colFirst"><code>java.lang.Object</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/TensorInfo.html#makeCarrier--">makeCarrier</a></span>()</code>
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<div class="block">Constructs an array the right shape and type to hold this tensor.</div>
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<td class="colFirst"><code>java.lang.String</code></td>
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<dt><span class="seeLabel">See Also:</span></dt>
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<dd><a href="../../constant-values.html#ai.onnxruntime.TensorInfo.MAX_DIMENSIONS">Constant Field Values</a></dd>
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<pre>public final <a href="../../ai/onnxruntime/OnnxJavaType.html" title="enum in ai.onnxruntime">OnnxJavaType</a> type</pre>
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<div class="block">The Java type of this tensor.</div>
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<pre>public final <a href="../../ai/onnxruntime/TensorInfo.OnnxTensorType.html" title="enum in ai.onnxruntime">TensorInfo.OnnxTensorType</a> onnxType</pre>
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<div class="block">The native type of this tensor.</div>
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<div class="block">Constructs an array the right shape and type to hold this tensor.</div>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>A multidimensional array of the appropriate primitive type (or String).</dd>
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<dt><span class="throwsLabel">Throws:</span></dt>
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<dd><code><a href="../../ai/onnxruntime/OrtException.html" title="class in ai.onnxruntime">OrtException</a></code> - If the shape isn't representable in Java (i.e. if one of it's indices is greater than an int).</dd>
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<pre>public static <a href="../../ai/onnxruntime/TensorInfo.html" title="class in ai.onnxruntime">TensorInfo</a> constructFromJavaArray(java.lang.Object obj)
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throws <a href="../../ai/onnxruntime/OrtException.html" title="class in ai.onnxruntime">OrtException</a></pre>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>obj</code> - The object to inspect.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>A TensorInfo which can be used to make the right size Tensor.</dd>
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<dt><span class="throwsLabel">Throws:</span></dt>
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<dd><code><a href="../../ai/onnxruntime/OrtException.html" title="class in ai.onnxruntime">OrtException</a></code> - If the supplied Object isn't an array, or is an invalid type.</dd>
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<pre>public static <a href="../../ai/onnxruntime/TensorInfo.html" title="class in ai.onnxruntime">TensorInfo</a> constructFromBuffer(java.nio.Buffer buffer,
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long[] shape,
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<a href="../../ai/onnxruntime/OnnxJavaType.html" title="enum in ai.onnxruntime">OnnxJavaType</a> type)
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throws <a href="../../ai/onnxruntime/OrtException.html" title="class in ai.onnxruntime">OrtException</a></pre>
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<div class="block">Constructs a TensorInfo from the supplied byte buffer.</div>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>buffer</code> - The buffer to inspect.</dd>
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<dd><code>shape</code> - The shape of the tensor.</dd>
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<dd><code>type</code> - The Java type.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
|
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<dd>A TensorInfo for a tensor.</dd>
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<dt><span class="throwsLabel">Throws:</span></dt>
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<dd><code><a href="../../ai/onnxruntime/OrtException.html" title="class in ai.onnxruntime">OrtException</a></code> - If the supplied buffer doesn't match the shape.</dd>
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