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onnxruntime/docs/api/java/ai/onnxruntime/OrtUtil.html
Cassie a0f3e30de6
Docs update: updated nav, get started sections, home page, apis (#9060) 
* initial setup and rename "how to" to "setup"

* move API to main nav

* move api to main nav

* add get starated, rework nav order

* rename to install move mds out of install section

* update api nav and home page

* add install docs and python qs updates

* python get started work

* remove c and obj c for now

* move java, python, and obj-c docs under api folder

* move java api html to iframe (ugh)

* remove api docs w/o details, move api text getstar

* remove api docs wo detail updates get started

* remvoe iframes

* move eco system to main nav

* fix api buttons

* added more examples moved intro to ORT

* fix links

* fix get started titles

* fix get started titles

* fix more links

* fix more links

* more link fixes

* fix nav remove inferencing and training subnav

* fix top nav remove inference and training nav

* fix title

* fix tutorials nav hierarchy

* fix python api button

* add tenorflow keras example

* fix quickstart toc

* add imports fix spacing

* fix links

* update nav and python get started page

* move ort training example, add coming soon for iot

* update C# get started

* fix spacing on quantization

* Add some js get started content

* fix formatting

* fix typo

* removed onnx-pytorch and onnx-tf

* updated pip install torch and added links iot page

* added pytorch tutorial heirarchy

* updated web to docs soon added release blog link

* add web link
2021-09-15 16:23:42 -05:00

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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<h2 title="Class OrtUtil" class="title">Class OrtUtil</h2>
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<pre>public final class <span class="typeNameLabel">OrtUtil</span>
extends java.lang.Object</pre>
<div class="block">Util code for interacting with Java arrays.</div>
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<td class="colFirst"><code>static long</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/OrtUtil.html#elementCount-long:A-">elementCount</a></span>(long[]&nbsp;shape)</code>
<div class="block">Counts the number of elements stored in a Tensor of this shape.</div>
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<td class="colFirst"><code>static java.lang.String[]</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/OrtUtil.html#flattenString-java.lang.Object-">flattenString</a></span>(java.lang.Object&nbsp;o)</code>
<div class="block">Flatten a multidimensional String array into a single dimensional String array, reading
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<div class="block">Creates a new primitive boolean array of up to 8 dimensions, using the supplied shape.</div>
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<td class="colFirst"><code>static java.lang.Object</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/OrtUtil.html#reshape-boolean:A-long:A-">reshape</a></span>(boolean[]&nbsp;input,
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<div class="block">Reshapes a boolean array into the desired n-dimensional array assuming the boolean array is stored in n-dimensional row-major order.</div>
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<td class="colFirst"><code>static java.lang.Object</code></td>
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<div class="block">Reshapes a byte array into the desired n-dimensional array assuming the byte array is stored in n-dimensional row-major order.</div>
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<td class="colFirst"><code>static java.lang.Object</code></td>
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<tr id="i15" class="rowColor">
<td class="colFirst"><code>static java.lang.Object</code></td>
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<td class="colFirst"><code>static long[]</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/OrtUtil.html#transformShape-int:A-">transformShape</a></span>(int[]&nbsp;shape)</code>
<div class="block">Converts an int shape into a long shape.</div>
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<tr id="i17" class="rowColor">
<td class="colFirst"><code>static int[]</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/OrtUtil.html#transformShape-long:A-">transformShape</a></span>(long[]&nbsp;shape)</code>
<div class="block">Converts an long shape into a int shape.</div>
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<td class="colFirst"><code>static boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../ai/onnxruntime/OrtUtil.html#validateShape-long:A-">validateShape</a></span>(long[]&nbsp;shape)</code>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<h4>reshape</h4>
<pre>public static&nbsp;java.lang.Object&nbsp;reshape(long[]&nbsp;input,
long[]&nbsp;shape)</pre>
<div class="block">Reshapes a long array into the desired n-dimensional array, assuming the long array is stored in n-dimensional row-major order.
Throws <code>IllegalArgumentException</code> if the number of elements doesn't match between the shape and the input or the shape is invalid.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>input</code> - The long array.</dd>
<dd><code>shape</code> - The desired shape.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>An n-dimensional long array.</dd>
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<pre>public static&nbsp;java.lang.Object&nbsp;reshape(float[]&nbsp;input,
long[]&nbsp;shape)</pre>
<div class="block">Reshapes a float array into the desired n-dimensional array assuming the float array is stored in n-dimensional row-major order.
Throws <code>IllegalArgumentException</code> if the number of elements doesn't match between the shape and the input or the shape is invalid.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>input</code> - The float array.</dd>
<dd><code>shape</code> - The desired shape.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>An n-dimensional float array.</dd>
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<pre>public static&nbsp;java.lang.Object&nbsp;reshape(double[]&nbsp;input,
long[]&nbsp;shape)</pre>
<div class="block">Reshapes a double array into the desired n-dimensional array assuming the double array is stored in n-dimensional row-major order.
Throws <code>IllegalArgumentException</code> if the number of elements doesn't match between the shape and the input or the shape is invalid.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>input</code> - The double array.</dd>
<dd><code>shape</code> - The desired shape.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>An n-dimensional double array.</dd>
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<pre>public static&nbsp;long&nbsp;elementCount(long[]&nbsp;shape)</pre>
<div class="block">Counts the number of elements stored in a Tensor of this shape.
<p>
Multiplies all the elements together if they are positive, throws an <code>IllegalArgumentException</code> otherwise.
</p></div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>shape</code> - The shape to use.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>The number of elements.</dd>
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<pre>public static&nbsp;boolean&nbsp;validateShape(long[]&nbsp;shape)</pre>
<div class="block">Checks that the shape is a valid shape for a Java array (i.e. that the values are all positive and representable by an int).</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>shape</code> - The shape to check.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>True if the shape is valid.</dd>
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<pre>public static&nbsp;java.lang.String[]&nbsp;flattenString(java.lang.Object&nbsp;o)</pre>
<div class="block">Flatten a multidimensional String array into a single dimensional String array, reading
it in a multidimensional row-major order.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>o</code> - A multidimensional String array.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>A single dimensional String array.</dd>
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