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    67. 

  67.              
    68. 

  68.   <h1>Source code for super_gradients.training.models.lenet</h1><div class="highlight"><pre>
    69. 

  69. <span></span><span class="sd">&#39;&#39;&#39;</span>
    70. 

  70. <span class="sd">LeNet in PyTorch.</span>
    71. 

  71. 

  72. <span class="sd">https://yann.lecun.com/exdb/lenet/</span>
    73. 

  73. <span class="sd">&#39;&#39;&#39;</span>
    74. 

  74. <span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
    75. 

  75. <span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
    76. 

  76. <span class="kn">from</span> <span class="nn">super_gradients.training.models.sg_module</span> <span class="kn">import</span> <span class="n">SgModule</span>
    77. 

  77. 

  78. 

  79. <div class="viewcode-block" id="LeNet"><a class="viewcode-back" href="../../../../super_gradients.training.models.html#super_gradients.training.models.lenet.LeNet">[docs]</a><span class="k">class</span> <span class="nc">LeNet</span><span class="p">(</span><span class="n">SgModule</span><span class="p">):</span>
    80. 

  80.     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
    81. 

  81.         <span class="nb">super</span><span class="p">(</span><span class="n">LeNet</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>
    82. 

  82.         <span class="bp">self</span><span class="o">.</span><span class="n">conv1</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="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
    83. 

  83.         <span class="bp">self</span><span class="o">.</span><span class="n">conv2</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="mi">6</span><span class="p">,</span> <span class="mi">16</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
    84. 

  84.         <span class="bp">self</span><span class="o">.</span><span class="n">fc1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">16</span> <span class="o">*</span> <span class="mi">5</span> <span class="o">*</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">120</span><span class="p">)</span>
    85. 

  85.         <span class="bp">self</span><span class="o">.</span><span class="n">fc2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">120</span><span class="p">,</span> <span class="mi">84</span><span class="p">)</span>
    86. 

  86.         <span class="bp">self</span><span class="o">.</span><span class="n">fc3</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">84</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
    87. 

  87. 

  88. <div class="viewcode-block" id="LeNet.forward"><a class="viewcode-back" href="../../../../super_gradients.training.models.html#super_gradients.training.models.lenet.LeNet.forward">[docs]</a>    <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>
    89. 

  89.         <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
    90. 

  90.         <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">max_pool2d</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
    91. 

  91.         <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">out</span><span class="p">))</span>
    92. 

  92.         <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">max_pool2d</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
    93. 

  93.         <span class="n">out</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
    94. 

  94.         <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fc1</span><span class="p">(</span><span class="n">out</span><span class="p">))</span>
    95. 

  95.         <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fc2</span><span class="p">(</span><span class="n">out</span><span class="p">))</span>
    96. 

  96.         <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fc3</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
    97. 

  97.         <span class="k">return</span> <span class="n">out</span></div></div>
    98. 

  98. </pre></div>
    99. 

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    107. 

  107.     <p>&#169; Copyright 2021, SuperGradients team.</p>
    108. 

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    109. 

  109. 

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