message: Update function doc to reflect that 'a_axes' and 'b_axes' have been replaced by a single 'axes'.
diff: @@ -4663,13 +4663,7 @@ def tensordot(a, b, axes, name=None):
  r"""Tensor contraction of a and b along specified axes and outer product.
  Tensordot (also known as tensor contraction) sums the product of elements
  - from `a` and `b` over the indices specified by `a_axes` and `b_axes`.
  - The lists `a_axes` and `b_axes` specify those pairs of axes along which to
  - contract the tensors. The axis `a_axes[i]` of `a` must have the same dimension
  - as axis `b_axes[i]` of `b` for all `i` in `range(0, len(a_axes))`. The lists
  - `a_axes` and `b_axes` must have identical length and consist of unique
  - integers that specify valid axes for each of the tensors. Additionally
  - outer product is supported by passing `axes=0`.
  + from `a` and `b` over the indices specified by `axes`.
  This operation corresponds to `numpy.tensordot(a, b, axes)`.
  