try fix codacy issue of overload input in py3 (#459)

* try fix codacy issue of overload input

* Update conv.py

* Update conv.py

* Update conv.py

autokeras/pretrained/voice_generator/deepvoice3_pytorch/conv.py

@@ -12,29 +12,29 @@ def __init__(self, *args, **kwargs):
         self.clear_buffer()
         self._linearized_weight = None
 
-    def incremental_forward(self, input):
+    def incremental_forward(self, input_data):
 
         # reshape weight
         weight = self._get_linearized_weight()
         kw = self.kernel_size[0]
         dilation = self.dilation[0]
 
-        bsz = input.size(0)  # input: bsz x len x dim
+        bsz = input_data.size(0)  # conv_input: bsz x len x dim
         if kw > 1:
-            input = input.data
+            input_data = input_data.data
             if self.input_buffer is None:
-                self.input_buffer = input.new(bsz, kw + (kw - 1) * (dilation - 1), input.size(2))
+                self.input_buffer = input_data.new(bsz, kw + (kw - 1) * (dilation - 1), input_data.size(2))
                 self.input_buffer.zero_()
             else:
                 # shift buffer
                 self.input_buffer[:, :-1, :] = self.input_buffer[:, 1:, :].clone()
             # append next input
-            self.input_buffer[:, -1, :] = input[:, -1, :]
-            input = self.input_buffer
+            self.input_buffer[:, -1, :] = input_data[:, -1, :]
+            input_data = self.input_buffer
             if dilation > 1:
-                input = input[:, 0::dilation, :].contiguous()
-        output = F.linear(input.view(bsz, -1), weight, self.bias)
-        return output.view(bsz, 1, -1)
+                input_data = input_data[:, 0::dilation, :].contiguous()
+        input_data = F.linear(input_data.view(bsz, -1), weight, self.bias)
+        return input_data.view(bsz, 1, -1)
 
     def clear_buffer(self):
         self.input_buffer = None