Updated tensorsolve docstring to silent flake8.

theano/tensor/nlinalg.py

@@ -797,24 +797,8 @@ def tensorinv(a, ind=2):
 class TensorSolve(Op):
     """
     Theano utilization of numpy.linalg.tensorsolve
+    Class wrapper for tensorsolve function.
 
-    Solve the tensor equation ``a x = b`` for x.
-    It is assumed that all indices of `x` are summed over in the product,
-    together with the rightmost indices of `a`, as is done in, for example,
-    ``tensordot(a, x, axes=len(b.shape))``.
-    Parameters
-    ----------
-    a : array_like
-        Coefficient tensor, of shape ``b.shape + Q``. `Q`, a tuple, equals
-        the shape of that sub-tensor of `a` consisting of the appropriate
-        number of its rightmost indices, and must be such that
-        ``prod(Q) == prod(b.shape)`` (in which sense `a` is said to be
-        'square').
-    b : array_like
-        Right-hand tensor, which can be of any shape.
-    axes : tuple of ints, optional
-        Axes in `a` to reorder to the right, before inversion.
-        If None (default), no reordering is done.
     """
     _numop = staticmethod(numpy.linalg.tensorsolve)
     __props__ = ('axes', )
@@ -843,6 +827,7 @@ def tensorsolve(a, b, axes=None):
     It is assumed that all indices of `x` are summed over in the product,
     together with the rightmost indices of `a`, as is done in, for example,
     ``tensordot(a, x, axes=len(b.shape))``.
+
     Parameters
     ----------
     a : array_like