saymrwulf/onnxruntime
1
0
Fork 0
mirror of https://github.com/saymrwulf/onnxruntime.git synced 2026-07-15 18:23:41 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
onnxruntime/python/auto_examples/plot_profiling.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

191 lines
No EOL
12 KiB
HTML
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="en">
<head>
<meta charset="utf-8" />
<title>Profile the execution of a simple model &#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 Backend for ONNX" href="plot_backend.html" />
<link rel="prev" title="Load and predict with ONNX Runtime and a very simple model" href="plot_load_and_predict.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-profiling-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="profile-the-execution-of-a-simple-model">
<span id="l-example-profiling"></span><span id="sphx-glr-auto-examples-plot-profiling-py"></span><h1>Profile the execution of a simple model<a class="headerlink" href="#profile-the-execution-of-a-simple-model" title="Permalink to this headline"></a></h1>
<p><em>ONNX Runtime</em> can profile the execution of the model.
This example shows how to interpret the results.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">onnxruntime</span> <span class="kn">as</span> <span class="nn">rt</span>
<span class="kn">import</span> <span class="nn">numpy</span>
<span class="kn">from</span> <span class="nn">onnxruntime.datasets</span> <span class="kn">import</span> <span class="n">get_example</span>
</pre></div>
</div>
<p>Let’s load a very simple model and compute some prediction.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">example1</span> <span class="o">=</span> <span class="n">get_example</span><span class="p">(</span><span class="s2">&quot;mul_1.onnx&quot;</span><span class="p">)</span>
<span class="n">sess</span> <span class="o">=</span> <span class="n">rt</span><span class="o">.</span><span class="n">InferenceSession</span><span class="p">(</span><span class="n">example1</span><span class="p">)</span>
<span class="n">input_name</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">get_inputs</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">name</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">],</span> <span class="p">[</span><span class="mf">3.0</span><span class="p">,</span> <span class="mf">4.0</span><span class="p">],</span> <span class="p">[</span><span class="mf">5.0</span><span class="p">,</span> <span class="mf">6.0</span><span class="p">]],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">numpy</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
<span class="n">res</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span> <span class="p">{</span><span class="n">input_name</span><span class="p">:</span> <span class="n">x</span><span class="p">})</span>
<span class="k">print</span><span class="p">(</span><span class="n">res</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>[array([[ 1., 4.],
[ 9., 16.],
[25., 36.]], dtype=float32)]
</pre></div>
</div>
<p>We need to enable to profiling
before running the predictions.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">rt</span><span class="o">.</span><span class="n">SessionOptions</span><span class="p">()</span>
<span class="n">options</span><span class="o">.</span><span class="n">enable_profiling</span> <span class="o">=</span> <span class="bp">True</span>
<span class="n">sess_profile</span> <span class="o">=</span> <span class="n">rt</span><span class="o">.</span><span class="n">InferenceSession</span><span class="p">(</span><span class="n">example1</span><span class="p">,</span> <span class="n">options</span><span class="p">)</span>
<span class="n">input_name</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">get_inputs</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">name</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">],</span> <span class="p">[</span><span class="mf">3.0</span><span class="p">,</span> <span class="mf">4.0</span><span class="p">],</span> <span class="p">[</span><span class="mf">5.0</span><span class="p">,</span> <span class="mf">6.0</span><span class="p">]],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">numpy</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
<span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="bp">None</span><span class="p">,</span> <span class="p">{</span><span class="n">input_name</span><span class="p">:</span> <span class="n">x</span><span class="p">})</span>
<span class="n">prof_file</span> <span class="o">=</span> <span class="n">sess_profile</span><span class="o">.</span><span class="n">end_profiling</span><span class="p">()</span>
<span class="k">print</span><span class="p">(</span><span class="n">prof_file</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>onnxruntime_profile__2019-12-19_16-47-06.json
</pre></div>
</div>
<p>The results are stored un a file in JSON format.
Let’s see what it contains.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">prof_file</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
<span class="n">sess_time</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
<span class="kn">import</span> <span class="nn">pprint</span>
<span class="n">pprint</span><span class="o">.</span><span class="n">pprint</span><span class="p">(</span><span class="n">sess_time</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>[{&#39;args&#39;: {},
&#39;cat&#39;: &#39;Session&#39;,
&#39;dur&#39;: 100,
&#39;name&#39;: &#39;model_loading_from_saved_proto&#39;,
&#39;ph&#39;: &#39;X&#39;,
&#39;pid&#39;: 27824,
&#39;tid&#39;: 13820,
&#39;ts&#39;: 10},
{&#39;args&#39;: {},
&#39;cat&#39;: &#39;Session&#39;,
&#39;dur&#39;: 200,
&#39;name&#39;: &#39;session_initialization&#39;,
&#39;ph&#39;: &#39;X&#39;,
&#39;pid&#39;: 27824,
&#39;tid&#39;: 13820,
&#39;ts&#39;: 123}]
</pre></div>
</div>
<p><strong>Total running time of the script:</strong> ( 0 minutes 0.027 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-profiling-py">
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../_downloads/e4ee07af6afb721729db3bf156693fa2/plot_profiling.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_profiling.py</span></code></a></p>
</div>
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../_downloads/a8a3fe6bdcf0fdfbed17a5a0f2384419/plot_profiling.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_profiling.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>
</div>
</div>
</div>
</div>
<div class="sphinxsidebar" role="navigation" aria-label="main navigation">
<div class="sphinxsidebarwrapper">
<p class="logo"><a href="../index.html">
<img class="logo" src="../_static/ONNX_Runtime_icon.png" alt="Logo"/>
</a></p>
<h1 class="logo"><a href="../index.html">ONNX Runtime</a></h1>
<h3>Navigation</h3>
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../tutorial.html">Tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="../api_summary.html">API Summary</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="index.html">Gallery of examples</a></li>
</ul>
<div class="relations">
<h3>Related Topics</h3>
<ul>
<li><a href="../index.html">Documentation overview</a><ul>
<li><a href="index.html">Gallery of examples</a><ul>
<li>Previous: <a href="plot_load_and_predict.html" title="previous chapter">Load and predict with ONNX Runtime and a very simple model</a></li>
<li>Next: <a href="plot_backend.html" title="next chapter">ONNX Runtime Backend for ONNX</a></li>
</ul></li>
</ul></li>
</ul>
</div>
<div id="searchbox" style="display: none" role="search">
<h3 id="searchlabel">Quick search</h3>
<div class="searchformwrapper">
<form class="search" action="../search.html" method="get">
<input type="text" name="q" aria-labelledby="searchlabel" />
<input type="submit" value="Go" />
</form>
</div>
</div>
<script type="text/javascript">$('#searchbox').show(0);</script>
</div>
</div>
<div class="clearer"></div>
</div>
<div class="footer">
&copy;2018-2019, Microsoft.
|
Powered by <a href="http://sphinx-doc.org/">Sphinx 2.3.0</a>
&amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.11</a>
|
<a href="../_sources/auto_examples/plot_profiling.rst.txt"
rel="nofollow">Page source</a>
</div>
</body>
</html>
Reference in a new issue View git blame Copy permalink