Update jax requirement from <0.2.26,>=0.2.21 to >=0.2.21,<0.2.27
Created by: dependabot[bot]
Updates the requirements on jax to permit the latest version.
Release notes
Sourced from jax's releases.
JAX release v0.2.26
Bug fixes:
Out-of-bounds indices to jax.ops.segment_sum will now be handled with FILL_OR_DROP semantics, as documented. This primarily afects the reverse-mode derivative, where gradients corresponding to out-of-bounds indices will now be returned as 0. (#8634).
jax2tf will force the converted code to use XLA for the code fragments under jax.jit, e.g., most jax.numpy functions (#7839).
Changelog
Sourced from jax's changelog.
jax 0.2.26 (Dec 8, 2021)
Bug fixes:
- Out-of-bounds indices to
jax.ops.segment_sumwill now be handled withFILL_OR_DROPsemantics, as documented. This primarily afects the reverse-mode derivative, where gradients corresponding to out-of-bounds indices will now be returned as 0. (#8634).- jax2tf will force the converted code to use XLA for the code fragments under jax.jit, e.g., most jax.numpy functions ({jax-issue}
[#7839](https://github.com/google/jax/issues/7839)).jaxlib 0.1.74 (Nov 17, 2021)
- Enabled peer-to-peer copies between GPUs. Previously, GPU copies were bounced via the host, which is usually slower.
- Added experimental MLIR Python bindings for use by JAX.
jax 0.2.25 (Nov 10, 2021)
New features:
- (Experimental)
jax.distributed.initializeexposes multi-host GPU backend.jax.random.permutationsupports newindependentkeyword argument ({jax-issue}[#8430](https://github.com/google/jax/issues/8430))Breaking changes
- Moved
jax.experimental.staxtojax.example_libraries.stax- Moved
jax.experimental.optimizerstojax.example_libraries.optimizersNew features:
- Added
jax.lax.linalg.qdwh.jax 0.2.24 (Oct 19, 2021)
New features:
jax.random.choiceandjax.random.permutationnow support multidimensional arrays and an optionalaxisargument ({jax-issue}[#8158](https://github.com/google/jax/issues/8158))Breaking changes:
jax.numpy.takeandjax.numpy.take_along_axisnow require array-like inputs (see {jax-issue}[#7737](https://github.com/google/jax/issues/7737))jaxlib 0.1.73 (Oct 18, 2021)
Multiple cuDNN versions are now supported for jaxlib GPU
cuda11wheels.
- cuDNN 8.2 or newer. We recommend using the cuDNN 8.2 wheel if your cuDNN installation is new enough, since it supports additional functionality.
- cuDNN 8.0.5 or newer.
Breaking changes:
... (truncated)
Commits
-
1b5630eUpdate jaxlib version number to 0.1.76 -
a081f00Merge pull request #8850 from froystig:aot-transform -
3264045Restructures jax2tf converters eval directory. -
6a821d3Merge pull request #8843 from jakevdp:lax-dtype-errs -
b4db8abMerge pull request #8849 from jakevdp:x64-linalg -
b980acfdetect and err on transformation of AOT-compiled function calls -
2143f3dEnsure semantically equivalent PartitionSpecs are considered equivalent when -
f8e18e9[x64] minor weak_type changes to linalg.py -
4dc3137Before this change, the local_to_global in the path of dispatching the pjitte... -
5779267Merge pull request #8847 from hawkinsp:tol - Additional commits viewable in compare view
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