This is the release note of v6.0.0b2. See here for the complete list of solved issues and merged PRs.

Highlights

Compatibility with NumPy 1.16 and support for the __array_function__ interface allowing CuPy arrays to be passed to NumPy functions.

New Features

Implement __array_function__ interface (#1650)
Implement SciPy-compatible FFT functions (#1745)
Add PlanNd class for faster 2D and 3D FFTs (#1746, thanks @grlee77!)
Add order argument to empty_like, zeros_like, etc. (#1819, thanks @grlee77!)
Add cupyx.scipy.sparse.diags (#1840, thanks @grlee77!)
Add the order kwarg to cupy.reshape and the underlying ndarray method (#1843, thanks @grlee77!)
Support order kwarg in asarray, asanyarray, ndarray.get, tonumpy (#1845, thanks @grlee77!)
cumsum, cumprod: support array-like input (#1847, thanks @grlee77!)
Add sparse option to meshgrid (#1848, thanks @grlee77!)
Add attributes property to Device (#1869, thanks @grlee77!)
Support new APIs in cuDNN v7.4.1 (#1884)
Add as_strided (#1897, thanks @fujiisoup!)
Add fnc and forc to core.flags.Flags (#1898, thanks @grlee77!)
CuPy external memory pool with memory pool and function pointers (#1904)
Allow multi-axis roll as in NumPy 1.12+ (#1818, thanks @grlee77!)

Fix backward of batch normalization (#1822)
Fix RecursionError bug in conj method of sparse matrix classes (#1846, thanks @grlee77!)
Allow None as cx argument in cuDNN RNN functions (#1862)
Fix ndarray initialization bug (#1907)
Set size attribute of externally allocated memory (#1926)
Fix ndim not using cdef (#1935)
Ensure the input to the CUFFT Plan1D class is C contiguous (#1944, thanks @grlee77!)
Fix wrong variable name in cudnn.pyx (#1966)