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We will discuss the {func}`jax.jit` transformation, which will perform *Just In Time* (JIT) compilation of a JAX Python function so it can be executed efficiently in XLA. ## How JAX …
jax.lax.cond — JAX documentation
Custom derivative rules for JAX-transformable Python functions; Control autodiff’s saved values with jax.checkpoint (aka jax.remat) How JAX primitives work; Writing custom Jaxpr interpreters …
Type promotion semantics — JAX documentation
263: JAX PRNG Design; 2026: Custom JVP/VJP rules for JAX-transformable functions; 4008: Custom VJP and `nondiff_argnums` update; 4410: Omnistaging; 9263: Typed keys & …
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To capture a device memory profile to disk, use {func}`jax.profiler.save_device_memory_profile`.
Building from source — JAX documentation
JAX debugging flags; GPU performance tips; Persistent compilation cache; Pytrees; Errors; Ahead-of-time lowering and compilation; Exporting and serialization. Exporting and serializing …
Jax and Jaxlib versioning — JAX documentation
18137: Scope of JAX NumPy & SciPy Wrappers; 25516: Effort-based versioning; Extension guides. Writing custom Jaxpr interpreters in JAX; Custom operations for GPUs with C++ and …
Debugging runtime values — JAX documentation
Custom derivative rules for JAX-transformable Python functions; Control autodiff’s saved values with jax.checkpoint (aka jax.remat) Generalized convolutions in JAX; Developer notes. …
JAX: High-Performance Array Computing — JAX documentation
Given a Python function that evaluates $f$, JAX's `jvp` is a way to get a Python function for evaluating $(x, v) \\mapsto (f(x), \\partial f(x) v)$."
Python and NumPy version support policy — JAX documentation
How JAX primitives work; Understanding Jaxprs; Writing custom Jaxpr interpreters in JAX; Custom operations for GPUs with C++ and CUDA; jax.extend module. jax.extend.ffi module; …
Frequently asked questions (FAQ) — JAX documentation - Read …
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