Update jax requirement from <=0.4.21 to <=0.4.23

[dependabot]

Updates the requirements on jax to permit the latest version.

Changelog

Sourced from jax's changelog.

jax 0.4.23 (Dec 13, 2023)

jaxlib 0.4.23 (Dec 13, 2023)

• Fixed a bug that caused verbose logging from the GPU compiler during compilation.

jax 0.4.22 (Dec 13, 2023)

• Deprecations
  • The device_buffer and device_buffers properties of JAX arrays are deprecated. Explicit buffers have been replaced by the more flexible array sharding interface, but the previous outputs can be recovered this way:
    • arr.device_buffer becomes arr.addressable_data(0)
    • arr.device_buffers becomes [x.data for x in arr.addressable_shards]

jaxlib 0.4.22 (Dec 13, 2023)

jax 0.4.21 (Dec 4 2023)

• New Features

  • Added {obj}jax.nn.squareplus.

• Changes

  • The minimum jaxlib version is now 0.4.19.
  • Released wheels are built now with clang instead of gcc.
  • Enforce that the device backend has not been initialized prior to calling jax.distributed.initialize().
  • Automate arguments to jax.distributed.initialize() in cloud TPU environments.

• Deprecations

  • The previously-deprecated sym_pos argument has been removed from {func}jax.scipy.linalg.solve. Use assume_a='pos' instead.
  • Passing None to {func}jax.array or {func}jax.asarray, either directly or within a list or tuple, is deprecated and now raises a {obj}FutureWarning. It currently is converted to NaN, and in the future will raise a {obj}TypeError.
  • Passing the condition, x, and y parameters to jax.numpy.where by keyword arguments has been deprecated, to match numpy.where.
  • Passing arguments to {func}jax.numpy.array_equal and {func}jax.numpy.array_equiv that cannot be converted to a JAX array is deprecated and now raises a {obj}DeprecationWaning. Currently the functions return False, in the future this will raise an exception.
  • The device() method of JAX arrays deprecated. Depending on the context, it may be replaced with one of the following:
    • {meth}jax.Array.devices returns the set of all devices used by the array.
    • {attr}jax.Array.sharding gives the sharding configuration used by the array.

jaxlib 0.4.21 (Dec 4 2023)

• Changes
  • In preparation for adding distributed CPU support, JAX now treats CPU

... (truncated)

Commits

• 1c68577 Prepare for emergency jax and jaxlib 0.4.23 release
• b392622 Add patch to suppress XLA:GPU logging.
• 25c16c0 Finish jax and jaxlib 0.4.22 release
• 3380b9f split the random generalized normal test and skip its K-S half
• 9198174 Merge pull request #18968 from 8bitmp3:update-thinking-in-jax
• 7edc80d Update thinking-in-jax working-with-pytrees
• 29ed3cd Merge pull request #18581 from 8bitmp3:jax-docs-thinking-in-jax
• b52bcc1 Reverts 3c07c10a9a55f9a32390dd10cf3f420bdf3f1ed8
• a4003bf Upgrade How to think in JAX
• e888806 Fix the pjit flakey test. The test was weirdly written in the first place. Th...
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🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Adjustments to machine learning model export dependencies for better platform compatibility.

📊 Key Changes

• Removed jax and jaxlib dependencies due to compatibility issues with TensorFlow.js.
• Modified coremltools dependency to exclude Windows, as CoreML is only supported on macOS and Linux.

🎯 Purpose & Impact

• Improves the compatibility of the model exporting process by ensuring dependencies are aligned with supported platforms.
• Prevents Windows users from encountering issues when attempting to export models to CoreML format.
• Overall, streamlines the setup process for developers and reduces potential errors during model conversion, enhancing the user experience across different operating systems. 🖥️🍏🐧