remove the description about limitation
@@ -121,27 +121,6 @@ Data type of CuPy arrays cannot be non-numeric like strings and objects.
See :ref:`overview` for details.
-Array creation from Python objects
-----------------------------------
-
-Currently, :func:`cupy.array` or :func:`cupy.asarray` cannot create an array from Python object containing CuPy array (e.g., a list of CuPy arrays).
-Use :func:`cupy.stack` instead.
-
- >>> data_cpu = [np.arange(10), np.arange(10)]
- >>> np.asarray(data_cpu)
- array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
- [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]])
-
- >>> data_gpu = [cupy.arange(10), cupy.arange(10)]
- >>> cupy.asarray(data_gpu)
- Traceback (most recent call last):
- File "<stdin>", line 1, in <module>
- ValueError: Unsupported dtype object
- >>> cupy.stack(data_gpu)
- array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
- [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]])
-
-
Universal Functions only work with CuPy array or scalar
-------------------------------------------------------
