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onnxruntime/python/auto_examples/plot_metadata.html
Ryan Hill ac549a3e67 Update Python Docs to v1.1.0 (#2717) 
* Update to v1.1.0

* Update Python docs to v1.1.0
2019-12-20 17:11:46 -08:00

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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="en">
<head>
<meta charset="utf-8" />
<title>Metadata &#8212; ONNX Runtime 1.1.0 documentation</title>
<link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
<link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
<link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
<link rel="stylesheet" type="text/css" href="../_static/graphviz.css" />
<script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
<script type="text/javascript" src="../_static/jquery.js"></script>
<script type="text/javascript" src="../_static/underscore.js"></script>
<script type="text/javascript" src="../_static/doctools.js"></script>
<script type="text/javascript" src="../_static/language_data.js"></script>
<link rel="index" title="Index" href="../genindex.html" />
<link rel="search" title="Search" href="../search.html" />
<link rel="next" title="ONNX Runtime for Keras" href="plot_dl_keras.html" />
<link rel="prev" title="ONNX Runtime Backend for ONNX" href="plot_backend.html" />
<link rel="stylesheet" href="../_static/custom.css" type="text/css" />
<meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
</head><body>
<div class="document">
<div class="documentwrapper">
<div class="bodywrapper">
<div class="body" role="main">
<div class="sphx-glr-download-link-note admonition note">
<p class="admonition-title">Note</p>
<p>Click <a class="reference internal" href="#sphx-glr-download-auto-examples-plot-metadata-py"><span class="std std-ref">here</span></a> to download the full example code</p>
</div>
<div class="sphx-glr-example-title section" id="metadata">
<span id="sphx-glr-auto-examples-plot-metadata-py"></span><h1>Metadata<a class="headerlink" href="#metadata" title="Permalink to this headline"></a></h1>
<p>ONNX format contains metadata related to how the
model was produced. It is useful when the model
is deployed to production to keep track of which
instance was used at a specific time.
Let’s see how to do that with a simple
logistic regression model trained with
<em>scikit-learn</em> and converted with <em>sklearn-onnx</em>.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">onnxruntime.datasets</span> <span class="kn">import</span> <span class="n">get_example</span>
<span class="n">example</span> <span class="o">=</span> <span class="n">get_example</span><span class="p">(</span><span class="s2">&quot;logreg_iris.onnx&quot;</span><span class="p">)</span>
<span class="kn">import</span> <span class="nn">onnx</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">onnx</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">example</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;doc_string={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">doc_string</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;domain={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">domain</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;ir_version={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">ir_version</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;metadata_props={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">metadata_props</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;model_version={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">model_version</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;producer_name={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">producer_name</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;producer_version={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">producer_version</span><span class="p">))</span>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>doc_string=
domain=onnxml
ir_version=3
metadata_props=[]
model_version=0
producer_name=OnnxMLTools
producer_version=1.2.0.0116
</pre></div>
</div>
<p>With <em>ONNX Runtime</em>:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">onnxruntime</span> <span class="kn">import</span> <span class="n">InferenceSession</span>
<span class="n">sess</span> <span class="o">=</span> <span class="n">InferenceSession</span><span class="p">(</span><span class="n">example</span><span class="p">)</span>
<span class="n">meta</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">get_modelmeta</span><span class="p">()</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;custom_metadata_map={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">meta</span><span class="o">.</span><span class="n">custom_metadata_map</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;description={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">meta</span><span class="o">.</span><span class="n">description</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;domain={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">meta</span><span class="o">.</span><span class="n">domain</span><span class="p">,</span> <span class="n">meta</span><span class="o">.</span><span class="n">domain</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;graph_name={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">meta</span><span class="o">.</span><span class="n">graph_name</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;producer_name={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">meta</span><span class="o">.</span><span class="n">producer_name</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;version={}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">meta</span><span class="o">.</span><span class="n">version</span><span class="p">))</span>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>custom_metadata_map={}
description=
domain=onnxml
graph_name=3c59201b940f410fa29dc71ea9d5767d
producer_name=OnnxMLTools
version=0
</pre></div>
</div>
<p><strong>Total running time of the script:</strong> ( 0 minutes 0.016 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-metadata-py">
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../_downloads/7d69185b02f38811ad5d0593ec22c99d/plot_metadata.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_metadata.py</span></code></a></p>
</div>
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../_downloads/ae37e1cd2f800a09b44216a88ac39d30/plot_metadata.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_metadata.ipynb</span></code></a></p>
</div>
</div>
<p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.readthedocs.io">Gallery generated by Sphinx-Gallery</a></p>
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