These are the release notes for JAX.
- The minimum jaxlib version is now 0.1.38.
- CUDA 9.0 is no longer supported.
- CUDA 10.2 wheels are now built by default.
- JAX has dropped Python 2 support, because Python 2 reached its end of life on January 1, 2020. Please update to Python 3.5 or newer.
- Forward-mode automatic differentiation (
jvp
) of while loop (jax-ml#1980) - New NumPy and SciPy functions:
jax.numpy.fft.fft2
jax.numpy.fft.ifft2
jax.numpy.fft.rfft
jax.numpy.fft.irfft
jax.numpy.fft.rfft2
jax.numpy.fft.irfft2
jax.numpy.fft.rfftn
jax.numpy.fft.irfftn
jax.numpy.fft.fftfreq
jax.numpy.fft.rfftfreq
jax.numpy.linalg.matrix_rank
jax.numpy.linalg.matrix_power
jax.scipy.special.betainc
- Batched Cholesky decomposition on GPU now uses a more efficient batched kernel.
- With the Python 3 upgrade, JAX no longer depends on
fastcache
, which should help with installation.