          if (in_height % self.stride == 0):
              padding_height = max(kernel_height - self.stride, 0)
          else:
              padding_height = max(kernel_height - (in_height % self.stride), 0)
          if (in_width % self.stride == 0):
              padding_width = max(kernel_width - self.stride, 0)
          else:
              padding_width = max(kernel_width- (in_width % self.stride), 0)
  
          padding_top = padding_height // 2
 
</s> remove         if (in_width % self.stride == 0):
 </s> add         if (in_width % self.stride) == 0: </s> remove         if (in_height % self.stride == 0):
 </s> add         if (in_height % self.stride) == 0: </s> remove         if (in_height % self.stride == 0):
 </s> add         if (in_height % self.stride) == 0: </s> remove         kernel_width, kernel_height  = self.kernel_size, self.kernel_size
 </s> add         kernel_width, kernel_height = self.kernel_size, self.kernel_size </s> remove         kernel_width, kernel_height  = self.kernel_size, self.kernel_size
 </s> add         kernel_width, kernel_height = self.kernel_size, self.kernel_size
        if (in_width % self.stride) == 0:
          if (in_height % self.stride == 0):
              padding_height = max(kernel_height - self.stride, 0)
          else:
              padding_height = max(kernel_height - (in_height % self.stride), 0)
        if (in_width % self.stride) == 0:
              padding_width = max(kernel_width - self.stride, 0)
          else:
              padding_width = max(kernel_width- (in_width % self.stride), 0)
  
          padding_top = padding_height // 2
keep keep keep keep replace keep keep keep keep keep
 documentation, pep8, style, clarity updates  - Prep for Segmentation (#812)

* documentation, pep8, style, clarity updates

* Update cli.py

* Update _config.py

remove extra mask and coverage

mask type as dropdown

* Update training_data.py

move coverage / LR to global
cut down on loss description

style change
losses working in PR

* simpler logging

* legacy update 
lib/model/layers.py