chore: import upstream snapshot with attribution
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<title>MNIST සමඟ WGAN අත්හදා බැලීම</title>
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<h1>MNISTසමඟ WGAN අත්හදා බැලීම</h1>
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<div class="highlight"><pre><span class="lineno">9</span><span></span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span>
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<span class="lineno">10</span>
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<span class="lineno">11</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">calculate</span></pre></div>
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<p><a href="../dcgan/index.html">DCGAN අත්හදා බැලීමෙන්</a> වින්යාසයන් ආනයනය කරන්න </p>
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<div class="highlight"><pre><span class="lineno">13</span><span class="kn">from</span> <span class="nn">labml_nn.gan.dcgan</span> <span class="kn">import</span> <span class="n">Configs</span></pre></div>
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<a href='#section-2'>#</a>
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<p>ආනයන <a href="./index.html">වොෂර් GAN පාඩු</a> </p>
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<div class="highlight"><pre><span class="lineno">16</span><span class="kn">from</span> <span class="nn">labml_nn.gan.wasserstein</span> <span class="kn">import</span> <span class="n">GeneratorLoss</span><span class="p">,</span> <span class="n">DiscriminatorLoss</span></pre></div>
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<div class='section' id='section-3'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-3'>#</a>
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</div>
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<p>වොසර්ස්ටයින්GAN පාඩු සඳහා වින්යාස කිරීමේ විකල්ප සකසන්න </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">19</span><span class="n">calculate</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">generator_loss</span><span class="p">,</span> <span class="s1">'wasserstein'</span><span class="p">,</span> <span class="k">lambda</span> <span class="n">c</span><span class="p">:</span> <span class="n">GeneratorLoss</span><span class="p">())</span>
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<span class="lineno">20</span><span class="n">calculate</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">discriminator_loss</span><span class="p">,</span> <span class="s1">'wasserstein'</span><span class="p">,</span> <span class="k">lambda</span> <span class="n">c</span><span class="p">:</span> <span class="n">DiscriminatorLoss</span><span class="p">())</span></pre></div>
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<div class='docs'>
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<a href='#section-4'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">23</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
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<div class='section' id='section-5'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-5'>#</a>
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</div>
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<p>වින්යාසවස්තුව සාදන්න </p>
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<div class="highlight"><pre><span class="lineno">25</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-6'>#</a>
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</div>
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<p>අත්හදාබැලීම සාදන්න </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">27</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'mnist_wassertein_dcgan'</span><span class="p">,</span> <span class="n">comment</span><span class="o">=</span><span class="s1">'test'</span><span class="p">)</span></pre></div>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-7'>#</a>
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</div>
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<p>වින්යාසයන්අභිබවා යන්න </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">29</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span>
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<span class="lineno">30</span> <span class="p">{</span>
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<span class="lineno">31</span> <span class="s1">'discriminator'</span><span class="p">:</span> <span class="s1">'cnn'</span><span class="p">,</span>
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<span class="lineno">32</span> <span class="s1">'generator'</span><span class="p">:</span> <span class="s1">'cnn'</span><span class="p">,</span>
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<span class="lineno">33</span> <span class="s1">'label_smoothing'</span><span class="p">:</span> <span class="mf">0.01</span><span class="p">,</span>
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<span class="lineno">34</span> <span class="s1">'generator_loss'</span><span class="p">:</span> <span class="s1">'wasserstein'</span><span class="p">,</span>
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<span class="lineno">35</span> <span class="s1">'discriminator_loss'</span><span class="p">:</span> <span class="s1">'wasserstein'</span><span class="p">,</span>
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<span class="lineno">36</span> <span class="p">})</span></pre></div>
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<div class='section-link'>
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<a href='#section-8'>#</a>
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</div>
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<p>අත්හදාබැලීම ආරම්භ කර පුහුණු ලූපය ක්රියාත්මක කරන්න </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">39</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span>
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<span class="lineno">40</span> <span class="n">conf</span><span class="o">.</span><span class="n">run</span><span class="p">()</span>
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<span class="lineno">41</span>
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<span class="lineno">42</span>
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<span class="lineno">43</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span>
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<span class="lineno">44</span> <span class="n">main</span><span class="p">()</span></pre></div>
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<title>MNIST සමඟ WGAN-GP අත්හදා බැලීම</title>
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<h1>MNISTසමඟ WGAN-GP අත්හදා බැලීම</h1>
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<div class="highlight"><pre><span class="lineno">10</span><span></span><span class="kn">import</span> <span class="nn">torch</span>
|
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<span class="lineno">11</span>
|
||||
<span class="lineno">12</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span><span class="p">,</span> <span class="n">tracker</span></pre></div>
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<p><a href="../experiment.html">වොසර්ස්ටයින් අත්හදා බැලීමෙන්</a> වින්යාසයන් ආනයනය කරන්න </p>
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<div class="highlight"><pre><span class="lineno">14</span><span class="kn">from</span> <span class="nn">labml_nn.gan.wasserstein.experiment</span> <span class="kn">import</span> <span class="n">Configs</span> <span class="k">as</span> <span class="n">OriginalConfigs</span></pre></div>
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<div class="highlight"><pre><span class="lineno">16</span><span class="kn">from</span> <span class="nn">labml_nn.gan.wasserstein.gradient_penalty</span> <span class="kn">import</span> <span class="n">GradientPenalty</span></pre></div>
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<a href='#section-3'>#</a>
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</div>
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<h2>වින්යාසපන්තිය</h2>
|
||||
<p>අපි <a href="../../original/experiment.html">මුල් GAN ක්රියාත්මක කිරීම</a> දීර් extend කර වර්ගීකරණ ද penalty ුවම ඇතුළත් කිරීම සඳහා වෙනස්කම් කරන්නා (විචාරක) පාඩු ගණනය කිරීම අභිබවා යමු. </p>
|
||||
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</div>
|
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<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">19</span><span class="k">class</span> <span class="nc">Configs</span><span class="p">(</span><span class="n">OriginalConfigs</span><span class="p">):</span></pre></div>
|
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<div class='section' id='section-4'>
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||||
<div class='section-link'>
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<a href='#section-4'>#</a>
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<p>ශ්රේණියේදණ්ඩන සංගුණකය <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.69444em;vertical-align:0em;"></span><span class="mord mathnormal">λ</span></span></span></span></span> </p>
|
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|
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<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">28</span> <span class="n">gradient_penalty_coefficient</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">10.0</span></pre></div>
|
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</div>
|
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</div>
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<div class='section' id='section-5'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-5'>#</a>
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<p> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">30</span> <span class="n">gradient_penalty</span> <span class="o">=</span> <span class="n">GradientPenalty</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-6'>
|
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<div class='docs doc-strings'>
|
||||
<div class='section-link'>
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<a href='#section-6'>#</a>
|
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</div>
|
||||
<p> මෙයමුල් වෙනස්කම් කරන්නාගේ අලාභය ගණනය කිරීම අභිබවා යන අතර ශ්රේණියේ ද penalty ුවම් ද ඇතුළත් වේ. </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">32</span> <span class="k">def</span> <span class="nf">calc_discriminator_loss</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-7'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
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<a href='#section-7'>#</a>
|
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</div>
|
||||
<p>ඵලයඅනුක්රමික දඬුවම ගණනය <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqe" style=""><span class="mord mathnormal" style="">x</span></span></span></span></span></span> කිරීමට මත ඵලය අනුක්රමික අවශ්ය </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">38</span> <span class="n">data</span><span class="o">.</span><span class="n">requires_grad_</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-8'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-8'>#</a>
|
||||
</div>
|
||||
<p>නියැදිය <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord mathnormal" style="margin-right:0.04398em;">z</span><span class="mspace" style="margin-right:0.2777777777777778em;"></span><span class="mrel">∼</span><span class="mspace" style="margin-right:0.2777777777777778em;"></span></span><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord mathnormal">p</span><span class="mopen">(</span><span class="mord mathnormal" style="margin-right:0.04398em;">z</span><span class="mclose">)</span></span></span></span></span> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">40</span> <span class="n">latent</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_z</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-9'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-9'>#</a>
|
||||
</div>
|
||||
<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord mathnormal" style="margin-right:0.02778em;">D</span><span class="mopen">(</span><span class="mord coloredeq eqe" style=""><span class="mord mathnormal" style="">x</span></span><span class="mclose">)</span></span></span></span></span> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">42</span> <span class="n">f_real</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">discriminator</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-10'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-10'>#</a>
|
||||
</div>
|
||||
<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord mathnormal" style="margin-right:0.02778em;">D</span><span class="mopen">(</span><span class="mord"><span class="mord mathnormal">G</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.33610799999999996em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight" style="margin-right:0.02778em;">θ</span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mopen">(</span><span class="mord mathnormal" style="margin-right:0.04398em;">z</span><span class="mclose">))</span></span></span></span></span> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">44</span> <span class="n">f_fake</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">discriminator</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="p">(</span><span class="n">latent</span><span class="p">)</span><span class="o">.</span><span class="n">detach</span><span class="p">())</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-11'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-11'>#</a>
|
||||
</div>
|
||||
<p>වෙනස්කම්කරන්නාගේ පාඩු ලබා ගන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">46</span> <span class="n">loss_true</span><span class="p">,</span> <span class="n">loss_false</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">discriminator_loss</span><span class="p">(</span><span class="n">f_real</span><span class="p">,</span> <span class="n">f_fake</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-12'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-12'>#</a>
|
||||
</div>
|
||||
<p>පුහුණුප්රකාරයේදී ශ්රේණියේ ද ties ුවම් ගණනය කරන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">48</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span>
|
||||
<span class="lineno">49</span> <span class="n">gradient_penalty</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gradient_penalty</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">f_real</span><span class="p">)</span>
|
||||
<span class="lineno">50</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">"loss.gp."</span><span class="p">,</span> <span class="n">gradient_penalty</span><span class="p">)</span>
|
||||
<span class="lineno">51</span> <span class="n">loss</span> <span class="o">=</span> <span class="n">loss_true</span> <span class="o">+</span> <span class="n">loss_false</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">gradient_penalty_coefficient</span> <span class="o">*</span> <span class="n">gradient_penalty</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-13'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-13'>#</a>
|
||||
</div>
|
||||
<p>වෙනත්ආකාරයකින් ශ්රේණියේ ද penalty ුවම මඟ හරින්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">53</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">54</span> <span class="n">loss</span> <span class="o">=</span> <span class="n">loss_true</span> <span class="o">+</span> <span class="n">loss_false</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-14'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-14'>#</a>
|
||||
</div>
|
||||
<p>ලොග්දේවල් </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">57</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">"loss.discriminator.true."</span><span class="p">,</span> <span class="n">loss_true</span><span class="p">)</span>
|
||||
<span class="lineno">58</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">"loss.discriminator.false."</span><span class="p">,</span> <span class="n">loss_false</span><span class="p">)</span>
|
||||
<span class="lineno">59</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">"loss.discriminator."</span><span class="p">,</span> <span class="n">loss</span><span class="p">)</span>
|
||||
<span class="lineno">60</span>
|
||||
<span class="lineno">61</span> <span class="k">return</span> <span class="n">loss</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-15'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-15'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">64</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
|
||||
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<a href='#section-16'>#</a>
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||||
<p>වින්යාසවස්තුව සාදන්න </p>
|
||||
|
||||
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|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">66</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
|
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<div class='docs'>
|
||||
<div class='section-link'>
|
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<a href='#section-17'>#</a>
|
||||
</div>
|
||||
<p>අත්හදාබැලීම සාදන්න </p>
|
||||
|
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|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">68</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'mnist_wassertein_gp_dcgan'</span><span class="p">)</span></pre></div>
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<div class='section' id='section-18'>
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|
||||
<div class='section-link'>
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<a href='#section-18'>#</a>
|
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</div>
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<p>වින්යාසයන්අභිබවා යන්න </p>
|
||||
|
||||
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|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">70</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span>
|
||||
<span class="lineno">71</span> <span class="p">{</span>
|
||||
<span class="lineno">72</span> <span class="s1">'discriminator'</span><span class="p">:</span> <span class="s1">'cnn'</span><span class="p">,</span>
|
||||
<span class="lineno">73</span> <span class="s1">'generator'</span><span class="p">:</span> <span class="s1">'cnn'</span><span class="p">,</span>
|
||||
<span class="lineno">74</span> <span class="s1">'label_smoothing'</span><span class="p">:</span> <span class="mf">0.01</span><span class="p">,</span>
|
||||
<span class="lineno">75</span> <span class="s1">'generator_loss'</span><span class="p">:</span> <span class="s1">'wasserstein'</span><span class="p">,</span>
|
||||
<span class="lineno">76</span> <span class="s1">'discriminator_loss'</span><span class="p">:</span> <span class="s1">'wasserstein'</span><span class="p">,</span>
|
||||
<span class="lineno">77</span> <span class="s1">'discriminator_k'</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
|
||||
<span class="lineno">78</span> <span class="p">})</span></pre></div>
|
||||
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|
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<div class='section' id='section-19'>
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||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-19'>#</a>
|
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</div>
|
||||
<p>අත්හදාබැලීම ආරම්භ කර පුහුණු ලූපය ක්රියාත්මක කරන්න </p>
|
||||
|
||||
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|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">81</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span>
|
||||
<span class="lineno">82</span> <span class="n">conf</span><span class="o">.</span><span class="n">run</span><span class="p">()</span>
|
||||
<span class="lineno">83</span>
|
||||
<span class="lineno">84</span>
|
||||
<span class="lineno">85</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span>
|
||||
<span class="lineno">86</span> <span class="n">main</span><span class="p">()</span></pre></div>
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<h1><a href="https://nn.labml.ai/gan/wasserstein/gradient_penalty/index.html">වොසර්ස්ටයින් GAN (WGAN-GP) සඳහා ග්රේඩියන්ට් ද penalty ුවම</a></h1>
|
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<p>මෙය <a href="https://papers.labml.ai/paper/1704.00028">වොසර්ස්ටයින් GANs වැඩිදියුණු කළ පුහුණුව</a>ක්රියාත්මක කිරීමයි. </p>
|
||||
<p>වෙනස්කොට සැලකීමේ ජාලයේ (විචාරක)<a href="https://nn.labml.ai/gan/wasserstein/index.html">ලිප්ස්චිට්ස් අවහිරතා බලාත්මක කිරීම සඳහා WGAN</a> විසින් ක්ලිපින් බර යෝජනා කරයි. මෙය සහ L2 සම්මත ක්ලිපින් කිරීම, බර සාමාන්යකරණය කිරීම, L1, L2 බර ක්ෂය වීම වැනි වෙනත් බර බාධක ගැටළු ඇත:</p>
|
||||
<p>1. වෙනස්කම් කරන්නාගේ ධාරිතාව සීමා කිරීම 2. පුපුරා යාම සහ අතුරුදහන් වීම ( <a href="https://nn.labml.ai/normalization/batch_norm/index.html">කණ්ඩායම් සාමාන්යකරණය</a>නොමැතිව). </p>
|
||||
<p>කඩදාසි <a href="https://papers.labml.ai/paper/1704.00028">වැඩිදියුණු කරන ලද වොසර්ස්ටයින් GANS පුහුණුව</a> Lipschitz අවහිරතා වැඩි දියුණු කිරීම සඳහා වඩා හොඳ ක්රමයක් යෝජනා කරයි. </p>
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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">gan</a>
|
||||
<a class="parent" href="index.html">wasserstein</a>
|
||||
</p>
|
||||
<p>
|
||||
<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
|
||||
<img alt="Github"
|
||||
src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
|
||||
style="max-width:100%;"/></a>
|
||||
<a href="https://twitter.com/labmlai" rel="nofollow" target="_blank">
|
||||
<img alt="Twitter"
|
||||
src="https://img.shields.io/twitter/follow/labmlai?style=social"
|
||||
style="max-width:100%;"/></a>
|
||||
</p>
|
||||
<p>
|
||||
<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/gan/wasserstein/readme.md" target="_blank">
|
||||
View code on Github</a>
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-0'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-0'>#</a>
|
||||
</div>
|
||||
<h1><a href="https://nn.labml.ai/gan/wasserstein/index.html">වොසර්ස්ටයින් GAN - WGAN</a></h1>
|
||||
<p>මෙය <a href="https://papers.labml.ai/paper/1701.07875">වොසර්ස්ටයින් GAN</a>ක්රියාත්මක කිරීමයි. </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<div class='footer'>
|
||||
<a href="https://papers.labml.ai">Trending Research Papers</a>
|
||||
<a href="https://labml.ai">labml.ai</a>
|
||||
</div>
|
||||
</div>
|
||||
<script src=../../interactive.js?v=1"></script>
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<script>
|
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function handleImages() {
|
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var images = document.querySelectorAll('p>img')
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for (var i = 0; i < images.length; ++i) {
|
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handleImage(images[i])
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}
|
||||
}
|
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|
||||
function handleImage(img) {
|
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img.parentElement.style.textAlign = 'center'
|
||||
|
||||
var modal = document.createElement('div')
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||||
modal.id = 'modal'
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var modalContent = document.createElement('div')
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modal.appendChild(modalContent)
|
||||
|
||||
var modalImage = document.createElement('img')
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||||
modalContent.appendChild(modalImage)
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|
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var span = document.createElement('span')
|
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span.classList.add('close')
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||||
span.textContent = 'x'
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modal.appendChild(span)
|
||||
|
||||
img.onclick = function () {
|
||||
console.log('clicked')
|
||||
document.body.appendChild(modal)
|
||||
modalImage.src = img.src
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||||
}
|
||||
|
||||
span.onclick = function () {
|
||||
document.body.removeChild(modal)
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|
||||
}
|
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|
||||
handleImages()
|
||||
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|
||||
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|
||||
</html>
|
||||
Reference in New Issue
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