Update layer.py

Author: nnzhan

layer.py

@@ -11,7 +11,7 @@ def __init__(self):
         super(nconv,self).__init__()
 
     def forward(self,x, A):
-        x = torch.einsum('ncvl,vw->ncwl',(x,A))
+        x = torch.einsum('ncwl,vw->ncvl',(x,A))
         return x.contiguous()
 
 class dy_nconv(nn.Module):
@@ -325,4 +325,4 @@ def forward(self, input, idx):
 
     def extra_repr(self):
         return '{normalized_shape}, eps={eps}, ' \
-            'elementwise_affine={elementwise_affine}'.format(**self.__dict__)
+            'elementwise_affine={elementwise_affine}'.format(**self.__dict__)