mirror of
https://github.com/labmlai/annotated_deep_learning_paper_implementations.git
synced 2025-08-06 15:22:21 +08:00
216 lines
18 KiB
HTML
216 lines
18 KiB
HTML
<!DOCTYPE html>
|
|
<html>
|
|
<head>
|
|
<meta http-equiv="content-type" content="text/html;charset=utf-8"/>
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
|
|
<meta name="description" content=""/>
|
|
|
|
<meta name="twitter:card" content="summary"/>
|
|
<meta name="twitter:image:src" content="https://avatars1.githubusercontent.com/u/64068543?s=400&v=4"/>
|
|
<meta name="twitter:title" content="analytics.py"/>
|
|
<meta name="twitter:description" content=""/>
|
|
<meta name="twitter:site" content="@labmlai"/>
|
|
<meta name="twitter:creator" content="@labmlai"/>
|
|
|
|
<meta property="og:url" content="https://nn.labml.ai/cfr/analytics.html"/>
|
|
<meta property="og:title" content="analytics.py"/>
|
|
<meta property="og:image" content="https://avatars1.githubusercontent.com/u/64068543?s=400&v=4"/>
|
|
<meta property="og:site_name" content="LabML Neural Networks"/>
|
|
<meta property="og:type" content="object"/>
|
|
<meta property="og:title" content="analytics.py"/>
|
|
<meta property="og:description" content=""/>
|
|
|
|
<title>analytics.py</title>
|
|
<link rel="shortcut icon" href="/icon.png"/>
|
|
<link rel="stylesheet" href="../pylit.css">
|
|
<link rel="canonical" href="https://nn.labml.ai/cfr/analytics.html"/>
|
|
<!-- Global site tag (gtag.js) - Google Analytics -->
|
|
<script async src="https://www.googletagmanager.com/gtag/js?id=G-4V3HC8HBLH"></script>
|
|
<script>
|
|
window.dataLayer = window.dataLayer || [];
|
|
|
|
function gtag() {
|
|
dataLayer.push(arguments);
|
|
}
|
|
|
|
gtag('js', new Date());
|
|
|
|
gtag('config', 'G-4V3HC8HBLH');
|
|
</script>
|
|
</head>
|
|
<body>
|
|
<div id='container'>
|
|
<div id="background"></div>
|
|
<div class='section'>
|
|
<div class='docs'>
|
|
<p>
|
|
<a class="parent" href="/">home</a>
|
|
<a class="parent" href="index.html">cfr</a>
|
|
</p>
|
|
<p>
|
|
|
|
<a href="https://github.com/lab-ml/labml_nn/tree/master/labml_nn/cfr/analytics.py">
|
|
<img alt="Github"
|
|
src="https://img.shields.io/github/stars/lab-ml/nn?style=social"
|
|
style="max-width:100%;"/></a>
|
|
<a href="https://twitter.com/labmlai"
|
|
rel="nofollow">
|
|
<img alt="Twitter"
|
|
src="https://img.shields.io/twitter/follow/labmlai?style=social"
|
|
style="max-width:100%;"/></a>
|
|
</p>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-0'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-0'>#</a>
|
|
</div>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span>
|
|
<span class="lineno">2</span>
|
|
<span class="lineno">3</span><span class="kn">import</span> <span class="nn">altair</span> <span class="k">as</span> <span class="nn">alt</span>
|
|
<span class="lineno">4</span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
|
<span class="lineno">5</span>
|
|
<span class="lineno">6</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">analytics</span>
|
|
<span class="lineno">7</span><span class="kn">from</span> <span class="nn">labml.analytics</span> <span class="kn">import</span> <span class="n">IndicatorCollection</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-1'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-1'>#</a>
|
|
</div>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">10</span><span class="k">def</span> <span class="nf">calculate_percentages</span><span class="p">(</span><span class="n">means</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">],</span> <span class="n">names</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]):</span>
|
|
<span class="lineno">11</span> <span class="n">normalized</span> <span class="o">=</span> <span class="p">[]</span>
|
|
<span class="lineno">12</span>
|
|
<span class="lineno">13</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">means</span><span class="p">)):</span>
|
|
<span class="lineno">14</span> <span class="n">total</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="n">means</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
|
|
<span class="lineno">15</span> <span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">names</span><span class="p">):</span>
|
|
<span class="lineno">16</span> <span class="k">if</span> <span class="n">n</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">names</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">][:</span><span class="o">-</span><span class="mi">1</span><span class="p">]:</span>
|
|
<span class="lineno">17</span> <span class="n">total</span> <span class="o">+=</span> <span class="n">means</span><span class="p">[</span><span class="n">j</span><span class="p">]</span>
|
|
<span class="lineno">18</span> <span class="n">normalized</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">means</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">/</span> <span class="p">(</span><span class="n">total</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">finfo</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span><span class="o">.</span><span class="n">eps</span><span class="p">))</span>
|
|
<span class="lineno">19</span>
|
|
<span class="lineno">20</span> <span class="k">return</span> <span class="n">normalized</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-2'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-2'>#</a>
|
|
</div>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">23</span><span class="k">def</span> <span class="nf">plot_infosets</span><span class="p">(</span><span class="n">indicators</span><span class="p">:</span> <span class="n">IndicatorCollection</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
|
|
<span class="lineno">24</span> <span class="n">is_normalize</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
|
|
<span class="lineno">25</span> <span class="n">width</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">600</span><span class="p">,</span>
|
|
<span class="lineno">26</span> <span class="n">height</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">300</span><span class="p">):</span>
|
|
<span class="lineno">27</span> <span class="n">data</span><span class="p">,</span> <span class="n">names</span> <span class="o">=</span> <span class="n">analytics</span><span class="o">.</span><span class="n">indicator_data</span><span class="p">(</span><span class="n">indicators</span><span class="p">)</span>
|
|
<span class="lineno">28</span> <span class="n">step</span> <span class="o">=</span> <span class="p">[</span><span class="n">d</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>
|
|
<span class="lineno">29</span> <span class="n">means</span> <span class="o">=</span> <span class="p">[</span><span class="n">d</span><span class="p">[:,</span> <span class="mi">5</span><span class="p">]</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">data</span><span class="p">]</span>
|
|
<span class="lineno">30</span>
|
|
<span class="lineno">31</span> <span class="k">if</span> <span class="n">is_normalize</span><span class="p">:</span>
|
|
<span class="lineno">32</span> <span class="n">normalized</span> <span class="o">=</span> <span class="n">calculate_percentages</span><span class="p">(</span><span class="n">means</span><span class="p">,</span> <span class="n">names</span><span class="p">)</span>
|
|
<span class="lineno">33</span> <span class="k">else</span><span class="p">:</span>
|
|
<span class="lineno">34</span> <span class="n">normalized</span> <span class="o">=</span> <span class="n">means</span>
|
|
<span class="lineno">35</span>
|
|
<span class="lineno">36</span> <span class="n">common</span> <span class="o">=</span> <span class="n">names</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
|
<span class="lineno">37</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">names</span><span class="p">):</span>
|
|
<span class="lineno">38</span> <span class="n">n</span> <span class="o">=</span> <span class="n">n</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
|
<span class="lineno">39</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">n</span><span class="p">)</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">common</span><span class="p">):</span>
|
|
<span class="lineno">40</span> <span class="n">common</span> <span class="o">=</span> <span class="n">common</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">n</span><span class="p">)]</span>
|
|
<span class="lineno">41</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">common</span><span class="p">)):</span>
|
|
<span class="lineno">42</span> <span class="k">if</span> <span class="n">common</span><span class="p">[</span><span class="n">j</span><span class="p">]</span> <span class="o">!=</span> <span class="n">n</span><span class="p">[</span><span class="n">j</span><span class="p">]:</span>
|
|
<span class="lineno">43</span> <span class="n">common</span> <span class="o">=</span> <span class="n">common</span><span class="p">[:</span><span class="n">j</span><span class="p">]</span>
|
|
<span class="lineno">44</span> <span class="k">break</span>
|
|
<span class="lineno">45</span>
|
|
<span class="lineno">46</span> <span class="n">table</span> <span class="o">=</span> <span class="p">[]</span>
|
|
<span class="lineno">47</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">names</span><span class="p">):</span>
|
|
<span class="lineno">48</span> <span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">step</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">normalized</span><span class="p">[</span><span class="n">i</span><span class="p">]):</span>
|
|
<span class="lineno">49</span> <span class="n">table</span><span class="o">.</span><span class="n">append</span><span class="p">({</span>
|
|
<span class="lineno">50</span> <span class="s1">'series'</span><span class="p">:</span> <span class="n">n</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][</span><span class="nb">len</span><span class="p">(</span><span class="n">common</span><span class="p">):],</span>
|
|
<span class="lineno">51</span> <span class="s1">'step'</span><span class="p">:</span> <span class="n">j</span><span class="p">,</span>
|
|
<span class="lineno">52</span> <span class="s1">'value'</span><span class="p">:</span> <span class="n">v</span>
|
|
<span class="lineno">53</span> <span class="p">})</span>
|
|
<span class="lineno">54</span>
|
|
<span class="lineno">55</span> <span class="n">table</span> <span class="o">=</span> <span class="n">alt</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">values</span><span class="o">=</span><span class="n">table</span><span class="p">)</span>
|
|
<span class="lineno">56</span>
|
|
<span class="lineno">57</span> <span class="n">selection</span> <span class="o">=</span> <span class="n">alt</span><span class="o">.</span><span class="n">selection_multi</span><span class="p">(</span><span class="n">fields</span><span class="o">=</span><span class="p">[</span><span class="s1">'series'</span><span class="p">],</span> <span class="n">bind</span><span class="o">=</span><span class="s1">'legend'</span><span class="p">)</span>
|
|
<span class="lineno">58</span>
|
|
<span class="lineno">59</span> <span class="k">return</span> <span class="n">alt</span><span class="o">.</span><span class="n">Chart</span><span class="p">(</span><span class="n">table</span><span class="p">)</span><span class="o">.</span><span class="n">mark_line</span><span class="p">()</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span>
|
|
<span class="lineno">60</span> <span class="n">alt</span><span class="o">.</span><span class="n">X</span><span class="p">(</span><span class="s1">'step:Q'</span><span class="p">),</span>
|
|
<span class="lineno">61</span> <span class="n">alt</span><span class="o">.</span><span class="n">Y</span><span class="p">(</span><span class="s1">'value:Q'</span><span class="p">),</span>
|
|
<span class="lineno">62</span> <span class="n">alt</span><span class="o">.</span><span class="n">Color</span><span class="p">(</span><span class="s1">'series:N'</span><span class="p">,</span> <span class="n">scale</span><span class="o">=</span><span class="n">alt</span><span class="o">.</span><span class="n">Scale</span><span class="p">(</span><span class="n">scheme</span><span class="o">=</span><span class="s1">'tableau20'</span><span class="p">)),</span>
|
|
<span class="lineno">63</span> <span class="n">opacity</span><span class="o">=</span><span class="n">alt</span><span class="o">.</span><span class="n">condition</span><span class="p">(</span><span class="n">selection</span><span class="p">,</span> <span class="n">alt</span><span class="o">.</span><span class="n">value</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">alt</span><span class="o">.</span><span class="n">value</span><span class="p">(</span><span class="mf">0.0001</span><span class="p">))</span>
|
|
<span class="lineno">64</span> <span class="p">)</span><span class="o">.</span><span class="n">add_selection</span><span class="p">(</span>
|
|
<span class="lineno">65</span> <span class="n">selection</span>
|
|
<span class="lineno">66</span> <span class="p">)</span><span class="o">.</span><span class="n">properties</span><span class="p">(</span><span class="n">width</span><span class="o">=</span><span class="n">width</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="n">height</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.4/MathJax.js?config=TeX-AMS_HTML">
|
|
</script>
|
|
<!-- MathJax configuration -->
|
|
<script type="text/x-mathjax-config">
|
|
MathJax.Hub.Config({
|
|
tex2jax: {
|
|
inlineMath: [ ['$','$'] ],
|
|
displayMath: [ ['$$','$$'] ],
|
|
processEscapes: true,
|
|
processEnvironments: true
|
|
},
|
|
// Center justify equations in code and markdown cells. Elsewhere
|
|
// we use CSS to left justify single line equations in code cells.
|
|
displayAlign: 'center',
|
|
"HTML-CSS": { fonts: ["TeX"] }
|
|
});
|
|
</script>
|
|
<script>
|
|
function handleImages() {
|
|
var images = document.querySelectorAll('p>img')
|
|
|
|
console.log(images);
|
|
for (var i = 0; i < images.length; ++i) {
|
|
handleImage(images[i])
|
|
}
|
|
}
|
|
|
|
function handleImage(img) {
|
|
img.parentElement.style.textAlign = 'center'
|
|
|
|
var modal = document.createElement('div')
|
|
modal.id = 'modal'
|
|
|
|
var modalContent = document.createElement('div')
|
|
modal.appendChild(modalContent)
|
|
|
|
var modalImage = document.createElement('img')
|
|
modalContent.appendChild(modalImage)
|
|
|
|
var span = document.createElement('span')
|
|
span.classList.add('close')
|
|
span.textContent = 'x'
|
|
modal.appendChild(span)
|
|
|
|
img.onclick = function () {
|
|
console.log('clicked')
|
|
document.body.appendChild(modal)
|
|
modalImage.src = img.src
|
|
}
|
|
|
|
span.onclick = function () {
|
|
document.body.removeChild(modal)
|
|
}
|
|
}
|
|
|
|
handleImages()
|
|
</script>
|
|
</body>
|
|
</html> |