original_docstring: 
          Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder.
          :param fine_tune: Allow?
          
docstring: Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder.
docstring_tokens: Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder .
code: def fine_tune(self, fine_tune=True):
          """
          Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder.
          :param fine_tune: Allow?
          """
          for p in self.resnet.parameters():
              p.requires_grad = False
          # If fine-tuning, only fine-tune convolutional blocks 2 through 4
          if fine_tune:
              for c in list(self.resnet.children())[5:]:
                  for p in c.parameters():
                      p.requires_grad = fine_tune
code_tokens: def fine_tune ( self , fine_tune = True ) : for p in self . resnet . parameters ( ) : p . requires_grad = False if fine_tune : for c in list ( self . resnet . children ( ) ) [ 5 : ] : for p in c . parameters ( ) : p . requires_grad = fine_tune
short_docstring: Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder.
short_docstring_tokens: Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder .
comment: """
          Allow or prevent the computation of gradients for convolutional blocks 2 through 4 of the encoder.
          :param fine_tune: Allow?
          """$SEP$# If fine-tuning, only fine-tune convolutional blocks 2 through 4
  