WIP: feat(jax): Add JAX export kernel

[oeqqwq]

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[gemini-code-assist]

Summary of Changes

Hello @oeqqwq, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request integrates JAX's export functionality, allowing JAX computations to be compiled into a portable, serialized format for remote execution. This new capability provides a flexible mechanism for offloading JAX functions, enhancing the system's distributed computing potential by decoupling JAX function definition from its execution environment.

Highlights

• JAX Export Kernel: A new kernel jax_xla has been introduced, enabling the execution of JAX functions that have been compiled into a portable export format.
• jax.exec Kernel ID: The jax.exec kernel ID is now registered, allowing the system to dispatch JAX exported functions for execution.
• JAX Function Serialization: A new jax_export function is added to compile JAX functions into a serialized PFunction object, including type metadata and the base64-encoded JAX export data.
• Dependency Updates: absl-py and flatbuffers have been added as new project dependencies to support JAX's export and serialization capabilities.
• Comprehensive Testing: Extensive unit tests have been added for both the jax_export frontend and the _jax_exec kernel, covering various scenarios including different data types, shapes, multiple outputs, and error handling.

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Code Review

This pull request introduces a new JAX export kernel, providing a modern and portable way to execute JAX functions. The changes include a new kernel implementation (jax_xla.py), a corresponding frontend compilation function (jax_export in jax_cc.py), and comprehensive unit and integration tests. The implementation is well-structured and robust. I've provided a few suggestions in mplang/kernels/jax_xla.py to improve code clarity and maintainability by refactoring some of the data conversion logic and making exception handling more specific. Overall, this is a great addition.