title: Default dilation value in PyTorch
body: <p>As given in the <a href="http://pytorch.org/docs/nn.html#torch.nn.Conv2d" rel="noreferrer">documentation</a> of PyTorch, the layer Conv2d uses a default dilation of 1. Does this mean that if I want to create a simple conv2d layer  I would have to write </p>
  
  <pre><code>nn.conv2d(in_channels = 3, out_channels = 64, kernel_size = 3, dilation = 0)
  </code></pre>
  
  <p>instead of simply writing</p>
  
  <pre><code>nn.conv2d(in_channels = 3, out_channels = 64, kernel_size = 3)
  </code></pre>
  
  <p>Or is it the case that in PyTorch <em>dilation = 1</em> means same as <em>dilation = 0</em> as given <a href="http://cs231n.github.io/convolutional-networks/" rel="noreferrer">here</a> in the <strong>Dilated Convolution</strong> section?</p>