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JAX · Note ·

JAX v0.11.2

New features Added jax.numpy.minmax (and jnp.minmax ), which returns both the minimum and maximum of an array, matching NumPy 2.3+ ( #40089 ). Added…

What moved

New features Added jax.numpy.minmax (and jnp.minmax ), which returns both the minimum and maximum of an array, matching NumPy 2.3+ ( #40089 ). Added jax.lax.log2 and primitive jax.lax.log2_p , making log2 a first-class primitive in JAX ( jax.numpy.log2 now lowers via jax.lax.log2 ). Added jax.lax.one_minus_square primitive to accurately compute 1 - x^2 near $\pm 1$ and provide accurate derivatives near $0$ . Added jax.export.symbolic_dim_bounds for querying conservative bounds on symbolic dimension expressions ( #40006 ).

Why it matters

New features Added jax.numpy.minmax (and jnp.minmax ), which returns both the minimum and maximum of an array, matching NumPy 2.3+ ( #40089 ). That is a public note from JAX, dated 2026-09-17. Tagged Hardware / Safety.

On the record

  • Filed from the JAX official RSS on 2026-09-17.
  • Primary source host: github.com.
  • New features Added jax.numpy.minmax (and jnp.minmax ), which returns both the minimum and maximum of an array, matching NumPy 2.3+ ( #40089 ).
Primary source
github.com
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