fix minor docs

Author: soumith

torch/nn/modules/linear.py

@@ -63,17 +63,17 @@ class Bilinear(Module):
     r"""Applies a bilinear transformation to the incoming data: :math:`y = x_1 * A * x_2 + b`
 
     Args:
-        in_features1: size of each first input sample
-        in_features2: size of each second input sample
+        in1_features: size of each first input sample
+        in2_features: size of each second input sample
         out_features: size of each output sample
         bias: If set to False, the layer will not learn an additive bias. Default: True
 
     Shape:
-        - Input: :math:`(N, in\_features1)`, :math:`(N, in\_features2)`
+        - Input: :math:`(N, in1\_features)`, :math:`(N, in2\_features)`
         - Output: :math:`(N, out\_features)`
 
     Attributes:
-        weight: the learnable weights of the module of shape (out_features x in_features1 x in_features2)
+        weight: the learnable weights of the module of shape (out_features x in1_features x in2_features)
         bias:   the learnable bias of the module of shape (out_features)
 
     Examples::