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<div class="highlight"><pre><span class="lineno">3</span><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<span class="lineno">4</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">5</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
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<span class="lineno">6</span>
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<span class="lineno">7</span><span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda:0"</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">"cpu"</span><span class="p">)</span></pre></div>
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<a href='#section-1'>#</a>
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</div>
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<p>Use the formula:
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[(W-K+2P)/S] + 1
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where:
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W: Is the input volume size for each dimension
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K: Is the kernel size
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P: Is the padding
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S: Is the stride</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre></pre></div>
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</div>
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<div class='docs'>
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<a href='#section-2'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">18</span><span class="k">def</span> <span class="nf">CalcConvFormula</span><span class="p">(</span><span class="n">W</span><span class="p">,</span> <span class="n">K</span><span class="p">,</span> <span class="n">P</span><span class="p">,</span> <span class="n">S</span><span class="p">):</span>
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<span class="lineno">19</span> <span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">floor</span><span class="p">(((</span><span class="n">W</span> <span class="o">-</span> <span class="n">K</span> <span class="o">+</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">P</span><span class="p">)</span> <span class="o">/</span> <span class="n">S</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">))</span></pre></div>
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</div>
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</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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<p>https://stackoverflow.com/questions/53580088/calculate-the-output-size-in-convolution-layer
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Calculate the output shape after applying a convolution</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">24</span><span class="k">def</span> <span class="nf">CalcConvOutShape</span><span class="p">(</span><span class="n">in_shape</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">out_filters</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-4'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-4'>#</a>
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</div>
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<p>Multiple options for different kernel shapes</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">26</span> <span class="k">if</span> <span class="nb">type</span><span class="p">(</span><span class="n">kernel_size</span><span class="p">)</span> <span class="o">==</span> <span class="nb">int</span><span class="p">:</span>
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<span class="lineno">27</span> <span class="n">out_shape</span> <span class="o">=</span> <span class="p">[</span><span class="n">CalcConvFormula</span><span class="p">(</span><span class="n">in_shape</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">stride</span><span class="p">)</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="mi">2</span><span class="p">)]</span>
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<span class="lineno">28</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">29</span> <span class="n">out_shape</span> <span class="o">=</span> <span class="p">[</span><span class="n">CalcConvFormula</span><span class="p">(</span><span class="n">in_shape</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">kernel_size</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">padding</span><span class="p">,</span> <span class="n">stride</span><span class="p">)</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="mi">2</span><span class="p">)]</span>
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<span class="lineno">30</span>
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<span class="lineno">31</span> <span class="k">return</span> <span class="p">(</span><span class="n">out_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">out_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">out_filters</span><span class="p">)</span> <span class="c1"># , batch_size... but not necessary.</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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">33</span><span class="k">class</span> <span class="nc">CNN</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-6'>
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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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">34</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span>
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<span class="lineno">35</span> <span class="p">,</span> <span class="n">in_features</span>
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<span class="lineno">36</span> <span class="p">,</span> <span class="n">out_features</span>
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<span class="lineno">37</span> <span class="p">,</span> <span class="n">conv_filters</span>
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<span class="lineno">38</span> <span class="p">,</span> <span class="n">conv_kernel_size</span>
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<span class="lineno">39</span> <span class="p">,</span> <span class="n">conv_strides</span>
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<span class="lineno">40</span> <span class="p">,</span> <span class="n">conv_pad</span>
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<span class="lineno">41</span> <span class="p">,</span> <span class="n">actv_func</span>
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<span class="lineno">42</span> <span class="p">,</span> <span class="n">max_pool_kernels</span>
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<span class="lineno">43</span> <span class="p">,</span> <span class="n">max_pool_strides</span>
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<span class="lineno">44</span> <span class="p">,</span> <span class="n">l1</span><span class="o">=</span><span class="mi">120</span>
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<span class="lineno">45</span> <span class="p">,</span> <span class="n">l2</span><span class="o">=</span><span class="mi">84</span>
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<span class="lineno">46</span> <span class="p">,</span> <span class="n">MLP</span><span class="o">=</span><span class="kc">None</span>
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<span class="lineno">47</span> <span class="p">,</span> <span class="n">pre_module_list</span><span class="o">=</span><span class="kc">None</span>
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<span class="lineno">48</span> <span class="p">,</span> <span class="n">use_dropout</span><span class="o">=</span><span class="kc">False</span>
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<span class="lineno">49</span> <span class="p">,</span> <span class="n">use_batch_norm</span><span class="o">=</span><span class="kc">False</span>
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<span class="lineno">50</span> <span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="s2">"cpu"</span>
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<span class="lineno">51</span> <span class="p">):</span>
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<span class="lineno">52</span> <span class="nb">super</span><span class="p">(</span><span class="n">CNN</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-7'>
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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>Gerneral model Properties</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">55</span> <span class="bp">self</span><span class="o">.</span><span class="n">in_features</span> <span class="o">=</span> <span class="n">in_features</span>
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<span class="lineno">56</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_features</span> <span class="o">=</span> <span class="n">out_features</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-8'>
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<div class='docs'>
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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>Convolution operations</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">59</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_filters</span> <span class="o">=</span> <span class="n">conv_filters</span>
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<span class="lineno">60</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_kernel_size</span> <span class="o">=</span> <span class="n">conv_kernel_size</span>
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<span class="lineno">61</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_strides</span> <span class="o">=</span> <span class="n">conv_strides</span>
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<span class="lineno">62</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_pad</span> <span class="o">=</span> <span class="n">conv_pad</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-9'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-9'>#</a>
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</div>
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<p>Convolution Activiations</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">65</span> <span class="bp">self</span><span class="o">.</span><span class="n">actv_func</span> <span class="o">=</span> <span class="n">actv_func</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-10'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-10'>#</a>
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</div>
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<p>Max Pools</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">68</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_pool_kernels</span> <span class="o">=</span> <span class="n">max_pool_kernels</span>
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<span class="lineno">69</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_pool_strides</span> <span class="o">=</span> <span class="n">max_pool_strides</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-11'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-11'>#</a>
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</div>
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<p>Regularization</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">72</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_dropout</span> <span class="o">=</span> <span class="n">use_dropout</span>
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<span class="lineno">73</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_batch_norm</span> <span class="o">=</span> <span class="n">use_batch_norm</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-12'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-12'>#</a>
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</div>
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<p>Tunable parameters</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">76</span> <span class="bp">self</span><span class="o">.</span><span class="n">l1</span> <span class="o">=</span> <span class="n">l1</span>
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<span class="lineno">77</span> <span class="bp">self</span><span class="o">.</span><span class="n">l2</span> <span class="o">=</span> <span class="n">l2</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-13'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-13'>#</a>
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</div>
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<p>Number of conv/pool/act/batch_norm/dropout layers we add</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">80</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_conv_layers</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv_filters</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-14'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-14'>#</a>
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</div>
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<p>Create the module list</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">83</span> <span class="k">if</span> <span class="n">pre_module_list</span><span class="p">:</span>
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<span class="lineno">84</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span> <span class="o">=</span> <span class="n">pre_module_list</span>
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<span class="lineno">85</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">86</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">()</span>
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<span class="lineno">87</span>
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<span class="lineno">88</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape_list</span> <span class="o">=</span> <span class="p">[]</span>
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<span class="lineno">89</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">in_features</span><span class="p">)</span>
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<span class="lineno">90</span>
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<span class="lineno">91</span> <span class="bp">self</span><span class="o">.</span><span class="n">build_</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-15'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-15'>#</a>
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</div>
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<p>Send to gpu</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">94</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">device</span>
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<span class="lineno">95</span> <span class="bp">self</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-16'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-16'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">97</span> <span class="k">def</span> <span class="nf">build_</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-17'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-17'>#</a>
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</div>
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<p>Track shape</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">99</span> <span class="n">cur_shape</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">GetCurShape</span><span class="p">()</span>
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<span class="lineno">100</span>
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<span class="lineno">101</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="bp">self</span><span class="o">.</span><span class="n">n_conv_layers</span><span class="p">):</span>
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<span class="lineno">102</span> <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
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<span class="lineno">103</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">in_features</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
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<span class="lineno">104</span> <span class="n">in_channels</span> <span class="o">=</span> <span class="mi">1</span>
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<span class="lineno">105</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">106</span> <span class="n">in_channels</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">in_features</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
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<span class="lineno">107</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">108</span> <span class="n">in_channels</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_filters</span><span class="p">[</span><span class="n">i</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span>
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<span class="lineno">109</span>
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<span class="lineno">110</span> <span class="n">cur_shape</span> <span class="o">=</span> <span class="n">CalcConvOutShape</span><span class="p">(</span><span class="n">cur_shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_kernel_size</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_pad</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_strides</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
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<span class="lineno">111</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_filters</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
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<span class="lineno">112</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cur_shape</span><span class="p">)</span>
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<span class="lineno">113</span>
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<span class="lineno">114</span> <span class="n">conv</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="n">in_channels</span><span class="o">=</span><span class="n">in_channels</span><span class="p">,</span>
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<span class="lineno">115</span> <span class="n">out_channels</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">conv_filters</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
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<span class="lineno">116</span> <span class="n">kernel_size</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">conv_kernel_size</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
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<span class="lineno">117</span> <span class="n">padding</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">conv_pad</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
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<span class="lineno">118</span> <span class="n">stride</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">conv_strides</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
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<span class="lineno">119</span> <span class="p">)</span>
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<span class="lineno">120</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">conv</span><span class="p">)</span>
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<span class="lineno">121</span>
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<span class="lineno">122</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_batch_norm</span><span class="p">:</span>
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<span class="lineno">123</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm2d</span><span class="p">(</span><span class="n">cur_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]))</span>
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<span class="lineno">124</span>
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|
<span class="lineno">125</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_dropout</span><span class="p">:</span>
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|
<span class="lineno">126</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="mf">0.15</span><span class="p">))</span></pre></div>
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</div>
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</div>
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|
<div class='section' id='section-18'>
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|
<div class='docs'>
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|
<div class='section-link'>
|
|
<a href='#section-18'>#</a>
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</div>
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|
<p>Add the Activation function</p>
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|
</div>
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|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">129</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">actv_func</span><span class="p">[</span><span class="n">i</span><span class="p">]:</span>
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|
<span class="lineno">130</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">GetActivation</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">actv_func</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
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|
<span class="lineno">131</span>
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|
<span class="lineno">132</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_pool_kernels</span><span class="p">:</span>
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|
<span class="lineno">133</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_pool_kernels</span><span class="p">[</span><span class="n">i</span><span class="p">]:</span>
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|
<span class="lineno">134</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">MaxPool2d</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">max_pool_kernels</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">stride</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">max_pool_strides</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
|
|
<span class="lineno">135</span> <span class="n">cur_shape</span> <span class="o">=</span> <span class="n">CalcConvOutShape</span><span class="p">(</span><span class="n">cur_shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_pool_kernels</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_pool_strides</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
|
|
<span class="lineno">136</span> <span class="n">cur_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">])</span>
|
|
<span class="lineno">137</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cur_shape</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-19'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-19'>#</a>
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|
</div>
|
|
<h1>Adding MLP</h1>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">140</span> <span class="n">s</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">GetCurShape</span><span class="p">()</span>
|
|
<span class="lineno">141</span> <span class="n">in_features</span> <span class="o">=</span> <span class="n">s</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">s</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="n">s</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
|
|
<span class="lineno">142</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">in_features</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">l1</span><span class="p">))</span>
|
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<span class="lineno">143</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">())</span>
|
|
<span class="lineno">144</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">l1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">l2</span><span class="p">))</span>
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<span class="lineno">145</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">())</span>
|
|
<span class="lineno">146</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">l2</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_features</span><span class="p">))</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-20'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-20'>#</a>
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|
</div>
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|
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|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">148</span> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
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<span class="lineno">149</span> <span class="n">j</span> <span class="o">=</span> <span class="mi">0</span>
|
|
<span class="lineno">150</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">module</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="p">):</span>
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<span class="lineno">151</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">module</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">)</span> <span class="ow">and</span> <span class="n">j</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
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|
<span class="lineno">152</span> <span class="n">x</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">flatten</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">float</span><span class="p">(),</span> <span class="n">start_dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
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<span class="lineno">153</span> <span class="n">j</span> <span class="o">=</span> <span class="mi">1</span>
|
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<span class="lineno">154</span> <span class="n">x</span> <span class="o">=</span> <span class="n">module</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
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<span class="lineno">155</span> <span class="k">return</span> <span class="n">x</span></pre></div>
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</div>
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|
</div>
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|
<div class='section' id='section-21'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-21'>#</a>
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</div>
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|
</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">157</span> <span class="k">def</span> <span class="nf">GetCurShape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="lineno">158</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape_list</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span></pre></div>
|
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</div>
|
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</div>
|
|
<div class='section' id='section-22'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-22'>#</a>
|
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</div>
|
|
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|
</div>
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|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">160</span><span class="k">def</span> <span class="nf">GetCNN</span><span class="p">(</span><span class="n">l1</span><span class="o">=</span><span class="mi">120</span><span class="p">,</span> <span class="n">l2</span><span class="o">=</span><span class="mi">84</span><span class="p">):</span>
|
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<span class="lineno">161</span> <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda:0"</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">"cpu"</span><span class="p">)</span>
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<span class="lineno">162</span> <span class="n">cnn</span> <span class="o">=</span> <span class="n">CNN</span><span class="p">(</span><span class="n">in_features</span><span class="o">=</span><span class="p">(</span><span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span>
|
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<span class="lineno">163</span> <span class="n">out_features</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
|
|
<span class="lineno">164</span> <span class="n">conv_filters</span><span class="o">=</span><span class="p">[</span><span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">64</span><span class="p">,</span> <span class="mi">64</span><span class="p">],</span> <span class="c1"># , 128, 256, 512</span>
|
|
<span class="lineno">165</span> <span class="n">conv_kernel_size</span><span class="o">=</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="c1"># ,3,3,1</span>
|
|
<span class="lineno">166</span> <span class="n">conv_strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="c1"># ,1,1,1</span>
|
|
<span class="lineno">167</span> <span class="n">conv_pad</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
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|
<span class="lineno">168</span> <span class="n">actv_func</span><span class="o">=</span><span class="p">[</span><span class="s2">"relu"</span><span class="p">,</span> <span class="s2">"relu"</span><span class="p">,</span> <span class="s2">"relu"</span><span class="p">,</span> <span class="s2">"relu"</span><span class="p">],</span> <span class="c1"># , "relu", "relu", "relu"</span>
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<span class="lineno">169</span> <span class="n">max_pool_kernels</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="kc">None</span><span class="p">,</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)],</span> <span class="c1"># , None, None, None</span>
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<span class="lineno">170</span> <span class="n">max_pool_strides</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="c1"># , None,None, None</span>
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<span class="lineno">171</span> <span class="n">l1</span><span class="o">=</span><span class="n">l1</span><span class="p">,</span>
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<span class="lineno">172</span> <span class="n">l2</span><span class="o">=</span><span class="n">l2</span><span class="p">,</span>
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<span class="lineno">173</span> <span class="n">use_dropout</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
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<span class="lineno">174</span> <span class="n">use_batch_norm</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># False</span>
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<span class="lineno">175</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span>
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<span class="lineno">176</span> <span class="p">)</span>
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<span class="lineno">177</span>
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<span class="lineno">178</span> <span class="k">return</span> <span class="n">cnn</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-23'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-23'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">181</span><span class="k">def</span> <span class="nf">GetActivation</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"relu"</span><span class="p">):</span>
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<span class="lineno">182</span> <span class="k">if</span> <span class="n">name</span> <span class="o">==</span> <span class="s2">"relu"</span><span class="p">:</span>
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<span class="lineno">183</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()</span>
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<span class="lineno">184</span> <span class="k">elif</span> <span class="n">name</span> <span class="o">==</span> <span class="s2">"leakyrelu"</span><span class="p">:</span>
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<span class="lineno">185</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">LeakyReLU</span><span class="p">()</span>
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<span class="lineno">186</span> <span class="k">elif</span> <span class="n">name</span> <span class="o">==</span> <span class="s2">"Sigmoid"</span><span class="p">:</span>
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<span class="lineno">187</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sigmoid</span><span class="p">()</span>
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<span class="lineno">188</span> <span class="k">elif</span> <span class="n">name</span> <span class="o">==</span> <span class="s2">"Tanh"</span><span class="p">:</span>
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<span class="lineno">189</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">Tanh</span><span class="p">()</span>
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<span class="lineno">190</span> <span class="k">elif</span> <span class="n">name</span> <span class="o">==</span> <span class="s2">"Identity"</span><span class="p">:</span>
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<span class="lineno">191</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">Identity</span><span class="p">()</span>
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<span class="lineno">192</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">193</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()</span></pre></div>
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