ml-explore/mlx

[BUG] Missing `array-api` methods

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#3484 opened on May 5, 2026

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enhancementgood first issuepython

Description

Describe the bug The current array-api implementation is currently missing a few methods

To Reproduce

from_dlpack:

import mlx.core as mx

mx.array([[0, 1], [2, 3]]).__array_namespace__().from_dlpack

as_array(..., copy=...):

import mlx.core as mx

mx.array([[0, 1], [2, 3]]).__array_namespace__().asarray(mx.array([[0, 1], [2, 3]]), copy=True)

Expected behavior I would expect the above to work. I assume there are others as well.

Desktop (please complete the following information):

  • OS Version: 15.1 (24B83)
  • Version: 0.31.2

Additional context

Contributor guide

Tech stack
pythoncpp
Domain
backenddata
Issue type
bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
Basic PythonFamiliarity with MLXUnderstanding of array api standard
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
80
Research direction
Identify the source files implementing the array api namespace, likely in `mlx/core` or `mlx/python`. Look for existing methods like ` array namespace ` and `from dlpack` or `asarray`. Implement the missing `from dlpack` and `asarray` (with `copy` parameter) methods following the array api standard. Test with the provided reproduction code to ensure they work as expected.