This actually was already the minimum version since we build with that version, but we needed to tighten the constraints.
Also in passing, drop mentions of CUDA builds from the Windows build instructions. jaxlib hasn't built with CUDA enabled on Windows for a very long time, so it's probably best we just don't mention it.
PiperOrigin-RevId: 657225917
The intent of this code seems to have been to mask out zeros that were part of padding on the diagonal. However, this isn't correct: if there is a zero on the diagonal, we very much want to get an inf or nan! We also appear to now pad with the identity matrix.
Fixes https://github.com/google/jax/issues/3589
Fixes https://github.com/google/jax/issues/15429
PiperOrigin-RevId: 653562611
Also disable many of the non-native-serialization jax2tf tests.
In particular, I am disabling the thousands of primitives tests in
graph serialization mode.
I kept jax2tf_test running in both native and graph serialization mode.
PiperOrigin-RevId: 652749891
https://github.com/google/jax/pull/22211 forbade custom lowering rules from returning singleton tuples of ir.Value, but this appears to break downstream users, notably Transformer Engine. Instead, allow lowering rules to return singleton tuples and unwrap them if needed, but warn if this behavior is seen.
PiperOrigin-RevId: 650345051
So, instead of
pl.BlockSpec(lambda i, j: ..., (42, 24))
``pl.BlockSpec`` now expects
pl.BlockSpec((42, 24), lambda i, j: ...)
I will update Pallas tests in a follow up.
PiperOrigin-RevId: 648486321
- `jax.core.canonicalize_shape`
- `jax.core.dimension_as_value`
- `jax.core.definitely_equal`
- `jax.core.symbolic_equal_dim`
These have been raising deprecation warnings since JAX v0.4.24, released Feb 6 2024.
PiperOrigin-RevId: 647671122
The recommended source of JAX wheels is `pip`, and NVIDIA dependencies are installed automatically when JAX is installed via `pip install`. `libdevice` gets installed from `nvidia-cuda-nvcc-cu12` package.
PiperOrigin-RevId: 647328834
Description:
- Updated jnp.ceil/floor/trunc to preserve int dtypes
- Updated tests
- For integral dtypes but we can't yet today compare types vs numpy as numpy 2.0.0rc2 is not yet array api compliant in this case
* Make jaxlib a direct dependency of jax.
* Remove mentions of monolithic CUDA installations from the JAX documentation.
* Drop the cuda12_pip extra and the cudnn version specific extras.
* Add a with_cuda extra to the jax-cuda12-plugin package, use it in jax's setup.py. This allows us to specify cuda extras in one place.
* Make a few small doc improvements.
For example, tree_map(..., None, [2, 3]) previously did not raise an error, but None is a container and only leaves can be considered tree prefixes in this case.
In a future release of JAX, this behavior will become an error.
PiperOrigin-RevId: 641690427
We rename `in_shardings` to `in_shardings_hlo` to remove confusion
with JAX's use of `in_shardings`.
We also rename `xla_compatible_in_sharding` to `in_shardings_jax`
since we do not have a XLACompatibleSharding type anymore.
By setting `jax.config.update('jax_cpu_enable_async_dispatch', False)`, one could opt out of the change and recover the old behavior.
PiperOrigin-RevId: 633264117
