deps: Update dependency jaxlib to >=0.7.0

[renovate]

This PR contains the following updates:

Package	Type	Update	Change
jaxlib	feature-cuda-backends	minor	>=0.6.0 -> >=0.7.0

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Release Notes

jax-ml/jax (jaxlib)

v0.7.0

• New features:

  • Added jax.P which is an alias for jax.sharding.PartitionSpec.
  • Added {func}jax.tree.reduce_associative.
  • The {attr}jax.numpy.ndarray.at indexing methods now support a wrap_negative_indices
    argument, which defaults to True to match the current behavior ({jax-issue}#29434).

• Breaking changes:

  • JAX is migrating from GSPMD to Shardy by default. See the
    migration guide
    for more information.
  • JAX autodiff is switching to using direct linearization by default (instead of
    implementing linearization via JVP and partial eval).
    See migration guide
    for more information.
  • jax.stages.OutInfo has been replaced with jax.ShapeDtypeStruct.
  • {func}jax.jit now requires fun to be passed by position, and additional
    arguments to be passed by keyword. Doing otherwise will result in an error
    starting in v0.7.x. This raised a DeprecationWarning in v0.6.x.
  • The minimum Python version is now 3.11. 3.11 will remain the minimum
    supported version until July 2026.
  • Layout API renames:
    • Layout, .layout, .input_layouts and .output_layouts have been
      renamed to Format, .format, .input_formats and .output_formats
    • DeviceLocalLayout, .device_local_layout have been renamed to Layout
      and .layout
  • jax.experimental.shard module has been deleted and all the APIs have been
    moved to the jax.sharding endpoint. So use jax.sharding.reshard,
    jax.sharding.auto_axes and jax.sharding.explicit_axes instead of their
    experimental endpoints.
  • lax.infeed and lax.outfeed were removed, after being deprecated in
    JAX 0.6. The transfer_to_infeed and transfer_from_outfeed methods were
    also removed the Device objects.
  • The jax.extend.core.primitives.pjit_p primitive has been renamed to
    jit_p, and its name attribute has changed from "pjit" to "jit".
    This affects the string representations of jaxprs. The same primitive is no
    longer exported from the jax.experimental.pjit module.
  • The (undocumented) function jax.extend.backend.add_clear_backends_callback
    has been removed. Users should use jax.extend.backend.register_backend_cache
    instead.
  • out_sharding arg added to x.at[y].set and x.at[y].add. Previous
    behavior propagating operand sharding removed. Please use
    x.at[y].set/add(z, out_sharding=jax.typeof(x).sharding) to retain previous
    behavior if scatter op requires collectives.

• Deprecations:

  • {obj}jax.dlpack.SUPPORTED_DTYPES is deprecated; please use the new
    {func}jax.dlpack.is_supported_dtype function.
  • {func}jax.scipy.special.sph_harm has been deprecated following a similar
    deprecation in SciPy; use {func}jax.scipy.special.sph_harm_y instead.
  • From {mod}jax.interpreters.xla, the previously deprecated symbols
    abstractify and pytype_aval_mappings have been removed.
  • {func}jax.interpreters.xla.canonicalize_dtype is deprecated. For
    canonicalizing dtypes, prefer {func}jax.dtypes.canonicalize_dtype.
    For checking whether an object is a valid jax input, prefer
    {func}jax.core.valid_jaxtype.
  • From {mod}jax.core, the previously deprecated symbols AxisName,
    ConcretizationTypeError, axis_frame, call_p, closed_call_p,
    get_type, trace_state_clean, typematch, and typecheck have been
    removed.
  • From {mod}jax.lib.xla_client, the previously deprecated symbols
    DeviceAssignment, get_topology_for_devices, and mlir_api_version
    have been removed.
  • jax.extend.ffi was removed after being deprecated in v0.5.0.
    Use {mod}jax.ffi instead.
  • {func}jax.lib.xla_bridge.get_compile_options is deprecated, and replaced by
    {func}jax.extend.backend.get_compile_options.

v0.6.2

• New features:

  • Added {func}jax.tree.broadcast which implements a pytree prefix broadcasting helper.

• Changes

  • The minimum NumPy version is 1.26 and the minimum SciPy version is 1.12.

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The artifact failure details are included below:

File name: pixi.lock

ExecError: Command failed: pixi lock --no-progress --color=never --quiet
Error:   × failed to solve 'cuda' for linux-64
  ├─▶ failed to solve the environment
  ╰─▶ Cannot solve the request because of: The following packages are
      incompatible
      ├─ jaxlib >=0.7.0 cuda12* can be installed with any of the following
      options:
      │  └─ jaxlib 0.7.0 would require
      │     ├─ python >=3.11,<3.12.0a0, which can be installed with any of the
      following options:
      │     │  └─ python 3.11.0 | 3.11.0 | 3.11.0 | 3.11.0 | 3.11.1 | 3.11.2
      | 3.11.3 | 3.11.4 | 3.11.5 | 3.11.6 | 3.11.7 | 3.11.7 | 3.11.8 | 3.11.9
      | 3.11.10 | 3.11.10 | 3.11.10 | 3.11.10 | 3.11.11 | 3.11.11 | 3.11.12
      | 3.11.13
      │     └─ python_abi 3.11.* *_cp311, which can be installed with any of
      the following options:
      │        └─ python_abi 3.11
      └─ python ~=3.10.0 cannot be installed because there are no viable
      options:
         ├─ python 3.10.0 | 3.10.0 | 3.10.0 | 3.10.0 | 3.10.0 | 3.10.0 |
      3.10.1 | 3.10.1 | 3.10.1 | 3.10.1 | 3.10.1 | 3.10.1 | 3.10.2 | 3.10.2
      | 3.10.2 | 3.10.2 | 3.10.2 | 3.10.2 | 3.10.2 | 3.10.2 | 3.10.2 | 3.10.2
      | 3.10.4 | 3.10.4 | 3.10.5 | 3.10.5 | 3.10.6 | 3.10.6 | 3.10.7 | 3.10.7
      | 3.10.8 | 3.10.8 | 3.10.9 | 3.10.10 | 3.10.11 | 3.10.12 | 3.10.13 |
      3.10.13 | 3.10.14 | 3.10.15 | 3.10.15 | 3.10.15 | 3.10.16 | 3.10.16 |
      3.10.16 | 3.10.17 | 3.10.18 | 3.10.18 would constrain
         │  └─ python_abi 3.10.* *_cp310, which conflicts with any installable
      versions previously reported
         └─ python 3.10.8 would require
            └─ graalpy >=23.0.0,<23.0.1.0a0, which cannot be installed because
      there are no viable options:
               └─ graalpy 23.0.0 would constrain
                  └─ python ==3.10.8 0_native230_graalpy, which conflicts with
      any installable versions previously reported