Flake8.

theano/tensor/basic.py

@@ -1346,11 +1346,6 @@ class MaxAndArgmax(Op):
         if g_max_disconnected and g_max_idx_disconnected:
             return [DisconnectedType()(), DisconnectedType()()]
 
-        axis_grad = grad_undefined(
-            self, 1, axis,
-            "argmax is not defined for non-integer axes so"
-            " argmax(x, axis+eps) is undefined")
-
         # if the max is disconnected but the argmax is not,
         # the gradient on its inputs is zero
         if g_max_disconnected:

theano/tensor/nnet/nnet.py

@@ -1599,9 +1599,9 @@ def local_argmax_pushdown(node):
         if x.owner and x.owner.op == softmax_with_bias:
             pre_x, pre_bias = x.owner.inputs
             ret = tensor.max_and_argmax(pre_x +
-                                         tensor.DimShuffle(
-                                             pre_bias.broadcastable,
-                                             ('x', 0))(pre_bias), axis)
+                                        tensor.DimShuffle(
+                                            pre_bias.broadcastable,
+                                            ('x', 0))(pre_bias), axis)
             # copy both stack traces
             copy_stack_trace(x_max, ret)
             return ret