message: minor style correction
diff: @@ -4104,7 +4104,8 @@ def tensordot(a, b, axes, name=None):
  a_free_dims = ops.convert_to_tensor(a_free_dims, dtype=dtypes.int32)
  b_free_dims = ops.convert_to_tensor(b_free_dims, dtype=dtypes.int32)
  product = array_ops.reshape(
  - ab_matmul, array_ops.concat([a_free_dims, b_free_dims], 0), name=name)
  + ab_matmul, array_ops.concat(
  + [a_free_dims, b_free_dims], 0), name=name)
  if a_free_dims_static is not None and b_free_dims_static is not None:
  product.set_shape(a_free_dims_static + b_free_dims_static)
  return product
  @@ -4114,8 +4115,8 @@ def tensordot(a, b, axes, name=None):
  def polyval(coeffs, x, name=None):
  r"""Computes the elementwise value of a polynomial.
  - If `x` is a tensor and `coeffs` is a list n + 1 tensors, this function returns
  - the value of the n-th order polynomial
  + If `x` is a tensor and `coeffs` is a list n + 1 tensors,
  + this function returns the value of the n-th order polynomial
  p(x) = coeffs[n-1] + coeffs[n-2] * x + ... + coeffs[0] * x**(n-1)
  @@ -4130,8 +4131,8 @@ def polyval(coeffs, x, name=None):
  name: A name for the operation (optional).
  Returns:
  - A `tensor` of the shape as the expression p(x) with usual broadcasting rules
  - for element-wise addition and multiplication applied.
  + A `tensor` of the shape as the expression p(x) with usual broadcasting
  + rules for element-wise addition and multiplication applied.
  @compatibility(numpy)
  Equivalent to numpy.polyval.
  