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Array API compatibility #67

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@ntessore

As much as possible of the core library should be made to work with compatible array types (numpy, torch, jax, dask, cupy, ...).

There is a nascent standard to support this: Array API

For the time being, the array-api-compat library can be used to get a universal namespace that replaces np, jnp, etc.

Activity

  1. added this to the v2023.3 milestone on Mar 3, 2023
  2. modified the milestones: v2023.3, v2022.4 on Mar 14, 2023
  3. modified the milestones: v2022.5, future on May 17, 2023
  4. added a commit that references this issue on Oct 4, 2024
  5. added a commit that references this issue on Oct 15, 2024
  6. pinned this issue on Nov 13, 2024
  7. paddyroddy commented on Oct 20, 2026

    @paddyroddy
    Member

    We've completed everything we hoped to do. The final issue is the meta issue #645 tracking changed to array-api-extra.

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apiAn (incompatible) API changearray-apiWork is related to the Array API

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