message: Add numpy compatibility note to transpose operations.
  fixes
diff: @@ -1390,6 +1390,14 @@ def transpose(a, perm=None, name="transpose", conjugate=False):
  `a.dtype` is either `complex64` or `complex128` then the values of `a`
  are conjugated and transposed.
  + @compatibility(numpy)
  + In `numpy` transposes are memory-efficient constant time operations as they
  + simply return a new view of the same data with adjusted `strides`.
  +
  + TensorFlow does not support strides, so `transpose` returns a new tensor with
  + the items permuted.
  + @end_compatibility
  +
  For example:
  ```python
  @@ -1490,6 +1498,14 @@ def matrix_transpose(a, name="matrix_transpose", conjugate=False):
  tf.matmul(matrix, tf.matrix_transpose(b))
  ```
  + @compatibility(numpy)
  + In `numpy` transposes are memory-efficient constant time operations as they
  + simply return a new view of the same data with adjusted `strides`.
  +
  + TensorFlow does not support strides, `matrix_transposes` return a new tensor
  + with the items permuted.
  + @end_compatibility
  +
  Args:
  a: A `Tensor` with `rank >= 2`.
  name: A name for the operation (optional).
  