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pytorch_modelsize.py
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<div itemprop="text" class="Box-body p-0 blob-wrapper data type-python gist-border-0">
<table class="highlight tab-size js-file-line-container" data-tab-size="8" data-paste-markdown-skip>
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<td id="L1" class="blob-num js-line-number" data-line-number="1"></td>
<td id="LC1" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>torch</span></td>
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<td id="L2" class="blob-num js-line-number" data-line-number="2"></td>
<td id="LC2" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>torch</span>.<span class=pl-s1>nn</span> <span class=pl-k>as</span> <span class=pl-s1>nn</span></td>
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<td id="L3" class="blob-num js-line-number" data-line-number="3"></td>
<td id="LC3" class="blob-code blob-code-inner js-file-line"><span class=pl-k>from</span> <span class=pl-s1>torch</span>.<span class=pl-s1>autograd</span> <span class=pl-k>import</span> <span class=pl-v>Variable</span></td>
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<td id="L4" class="blob-num js-line-number" data-line-number="4"></td>
<td id="LC4" class="blob-code blob-code-inner js-file-line"><span class=pl-k>import</span> <span class=pl-s1>numpy</span> <span class=pl-k>as</span> <span class=pl-s1>np</span></td>
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<td id="L5" class="blob-num js-line-number" data-line-number="5"></td>
<td id="LC5" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L6" class="blob-num js-line-number" data-line-number="6"></td>
<td id="LC6" class="blob-code blob-code-inner js-file-line"><span class=pl-k>class</span> <span class=pl-v>SizeEstimator</span>(<span class=pl-s1>object</span>):</td>
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<td id="L7" class="blob-num js-line-number" data-line-number="7"></td>
<td id="LC7" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L8" class="blob-num js-line-number" data-line-number="8"></td>
<td id="LC8" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>def</span> <span class=pl-en>__init__</span>(<span class=pl-s1>self</span>, <span class=pl-s1>model</span>, <span class=pl-s1>input_size</span><span class=pl-c1>=</span>(<span class=pl-c1>1</span>,<span class=pl-c1>1</span>,<span class=pl-c1>32</span>,<span class=pl-c1>32</span>), <span class=pl-s1>bits</span><span class=pl-c1>=</span><span class=pl-c1>32</span>):</td>
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<td id="L9" class="blob-num js-line-number" data-line-number="9"></td>
<td id="LC9" class="blob-code blob-code-inner js-file-line"> <span class=pl-s>'''</span></td>
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<td id="L10" class="blob-num js-line-number" data-line-number="10"></td>
<td id="LC10" class="blob-code blob-code-inner js-file-line"><span class=pl-s> Estimates the size of PyTorch models in memory</span></td>
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<td id="L11" class="blob-num js-line-number" data-line-number="11"></td>
<td id="LC11" class="blob-code blob-code-inner js-file-line"><span class=pl-s> for a given input size</span></td>
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<td id="L12" class="blob-num js-line-number" data-line-number="12"></td>
<td id="LC12" class="blob-code blob-code-inner js-file-line"><span class=pl-s> '''</span></td>
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<td id="L13" class="blob-num js-line-number" data-line-number="13"></td>
<td id="LC13" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>self</span>.<span class=pl-s1>model</span> <span class=pl-c1>=</span> <span class=pl-s1>model</span></td>
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<td id="L14" class="blob-num js-line-number" data-line-number="14"></td>
<td id="LC14" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>self</span>.<span class=pl-s1>input_size</span> <span class=pl-c1>=</span> <span class=pl-s1>input_size</span></td>
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<td id="L15" class="blob-num js-line-number" data-line-number="15"></td>
<td id="LC15" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>self</span>.<span class=pl-s1>bits</span> <span class=pl-c1>=</span> <span class=pl-s1>bits</span></td>
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<td id="L16" class="blob-num js-line-number" data-line-number="16"></td>
<td id="LC16" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>return</span></td>
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<td id="L17" class="blob-num js-line-number" data-line-number="17"></td>
<td id="LC17" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L18" class="blob-num js-line-number" data-line-number="18"></td>
<td id="LC18" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>def</span> <span class=pl-en>get_parameter_sizes</span>(<span class=pl-s1>self</span>):</td>
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<td id="L19" class="blob-num js-line-number" data-line-number="19"></td>
<td id="LC19" class="blob-code blob-code-inner js-file-line"> <span class=pl-s>'''Get sizes of all parameters in `model`'''</span></td>
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<td id="L20" class="blob-num js-line-number" data-line-number="20"></td>
<td id="LC20" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>mods</span> <span class=pl-c1>=</span> <span class=pl-en>list</span>(<span class=pl-s1>self</span>.<span class=pl-s1>model</span>.<span class=pl-en>modules</span>())</td>
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<td id="L21" class="blob-num js-line-number" data-line-number="21"></td>
<td id="LC21" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>sizes</span> <span class=pl-c1>=</span> []</td>
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<td id="L22" class="blob-num js-line-number" data-line-number="22"></td>
<td id="LC22" class="blob-code blob-code-inner js-file-line"> </td>
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<td id="L23" class="blob-num js-line-number" data-line-number="23"></td>
<td id="LC23" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>for</span> <span class=pl-s1>i</span> <span class=pl-c1>in</span> <span class=pl-en>range</span>(<span class=pl-c1>1</span>,<span class=pl-en>len</span>(<span class=pl-s1>mods</span>)):</td>
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<td id="L24" class="blob-num js-line-number" data-line-number="24"></td>
<td id="LC24" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>m</span> <span class=pl-c1>=</span> <span class=pl-s1>mods</span>[<span class=pl-s1>i</span>]</td>
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<td id="L25" class="blob-num js-line-number" data-line-number="25"></td>
<td id="LC25" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>p</span> <span class=pl-c1>=</span> <span class=pl-en>list</span>(<span class=pl-s1>m</span>.<span class=pl-en>parameters</span>())</td>
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<td id="L26" class="blob-num js-line-number" data-line-number="26"></td>
<td id="LC26" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>for</span> <span class=pl-s1>j</span> <span class=pl-c1>in</span> <span class=pl-en>range</span>(<span class=pl-en>len</span>(<span class=pl-s1>p</span>)):</td>
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<td id="L27" class="blob-num js-line-number" data-line-number="27"></td>
<td id="LC27" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>sizes</span>.<span class=pl-en>append</span>(<span class=pl-s1>np</span>.<span class=pl-en>array</span>(<span class=pl-s1>p</span>[<span class=pl-s1>j</span>].<span class=pl-en>size</span>()))</td>
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<td id="L28" class="blob-num js-line-number" data-line-number="28"></td>
<td id="LC28" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L29" class="blob-num js-line-number" data-line-number="29"></td>
<td id="LC29" class="blob-code blob-code-inner js-file-line"> <span class=pl-s1>self</span>.<span class=pl-s1>param_sizes</span> <span class=pl-c1>=</span> <span class=pl-s1>sizes</span></td>
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<td id="L30" class="blob-num js-line-number" data-line-number="30"></td>
<td id="LC30" class="blob-code blob-code-inner js-file-line"> <span class=pl-k>return</span></td>
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