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bump-mlx-0.32.2

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Created by brew bump


Created with brew bump-formula-pr.

  • resource blocks have been checked for updates.
release notes
## What's Changed
* Preserve subnormal float values when casting to bool by @reckylurker in https://github.com/ml-explore/mlx/pull/4224
* Support assigning through a bare Ellipsis index by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4314
* Fix divmod truncating the quotient for floats by @ayaangazali in https://github.com/ml-explore/mlx/pull/4108
* Add force_fused option to scaled_dot_product_attention by @hojin12312 in https://github.com/ml-explore/mlx/pull/4185
* Reject a negative eps in the normalization layers by @ayaangazali in https://github.com/ml-explore/mlx/pull/4312
* Bound GGUF metadata string/array values against the file mapping by @x14ngch3n in https://github.com/ml-explore/mlx/pull/4212
* Read each K/V byte once in gqa-8 decode attention by @dudududukim in https://github.com/ml-explore/mlx/pull/4077
* Fix fft vmap and jvp for transforms over a subset of axes by @kapellirohith in https://github.com/ml-explore/mlx/pull/4138
* Fix median dropping NaN by @devteamaegis in https://github.com/ml-explore/mlx/pull/4146
* Fix the CPU scan over a size one axis with a padded stride by @kapellirohith in https://github.com/ml-explore/mlx/pull/4139
* Validate the optimizer betas at construction by @ayaangazali in https://github.com/ml-explore/mlx/pull/4310
* `RMSNormVJP` backward writes a full `{n_rows, D}` `gw_temp` intermediate by @JasonHonKL in https://github.com/ml-explore/mlx/pull/4293
* [Bug]: add default none value to axis parameter of the take_along_axis by @aaishwarymishra in https://github.com/ml-explore/mlx/pull/4357
* Add a fused full-attention path for head_dim 256 on NAX devices by @wyanzhao in https://github.com/ml-explore/mlx/pull/3842
* Update nanobind to 2.15.0 by @XXXXRT666 in https://github.com/ml-explore/mlx/pull/4337
* Skip unnecessary simdgroup computations for quantised MOE matmuls on NAX by @RohanGautam in https://github.com/ml-explore/mlx/pull/4352
* Add AI usage policy by @zcbenz in https://github.com/ml-explore/mlx/pull/4331
* Raise cpu stream errors from synchronize by @robertomeroni in https://github.com/ml-explore/mlx/pull/4338
* chore: Validate eps in Adam at construction by @vraj00222 in https://github.com/ml-explore/mlx/pull/4361
* Bound winograd conv2d working set by tiling the batch by @Gusanidas in https://github.com/ml-explore/mlx/pull/4102
* Use a 32-row block in qmm_t_nax when one block covers all of M by @dwijenpatel in https://github.com/ml-explore/mlx/pull/4171
* Deduplicate fftshift and ifftshift by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4318
* Fix Log and Equal is_equivalent ignoring primitive state by @kapellirohith in https://github.com/ml-explore/mlx/pull/4266
* Stabilize reduced-precision InstanceNorm by @ternaus in https://github.com/ml-explore/mlx/pull/4230
* Normalize negative axes in sort and argsort by @deBrian07 in https://github.com/ml-explore/mlx/pull/4332
* Clean up main thread compile cache before python interpreter shuts down by @zcbenz in https://github.com/ml-explore/mlx/pull/4373
* chore: Check malformed jaccl hostfile that miss rdma in pairs by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4284
* Round mxfp8 block scales up to avoid saturation by @dhiltgen in https://github.com/ml-explore/mlx/pull/4353
* Add support for the __array_namespace_info__  by @aaishwarymishra in https://github.com/ml-explore/mlx/pull/4334
* Stop a failed CUDA graph commit from poisoning the encoder by @strayberry in https://github.com/ml-explore/mlx/pull/4356
* Fix quantized kernels in JIT build by @dwijenpatel in https://github.com/ml-explore/mlx/pull/4372
* [Metal][Performance] Avoid zero work in stride-2 ConvTranspose3d by @ternaus in https://github.com/ml-explore/mlx/pull/4343
* [CUDA] Ce fused kernel by @nastya236 in https://github.com/ml-explore/mlx/pull/3947
* Fix cpu exclusive scan for complex numbers by @ayaangazali in https://github.com/ml-explore/mlx/pull/4272
* Support Relocatable CUDA DLLs on Windows by @dhiltgen in https://github.com/ml-explore/mlx/pull/4382
* Use cast_to for fused AsType in compiled Metal kernels by @katlun-lgtm in https://github.com/ml-explore/mlx/pull/4351
* Declare DLPackCompatible protocol members as methods, not settable attributes by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4384
* Fix quantizing sliced arrays by @zcbenz in https://github.com/ml-explore/mlx/pull/4381
* Fix einsum dropping a trailing empty subscript by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4299
* Add script to run python tests by @zcbenz in https://github.com/ml-explore/mlx/pull/4393
* Hold GIL in AttachedData destructor by @zcbenz in https://github.com/ml-explore/mlx/pull/4391

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Full Changelog: ml-explore/mlx@v0.32.1...v0.32.2

View the full release notes at https://github.com/ml-explore/mlx/releases/tag/v0.32.2.


@github-actions github-actions Bot added python Python use is a significant feature of the PR or issue bump-formula-pr PR was created using `brew bump-formula-pr` macos-only Formula depends on macOS labels Aug 25, 2026
@daeho-ro

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nanobind v3 ins't compatible yet.

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This pull request has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs.

@github-actions github-actions Bot added the stale No recent activity label Aug 30, 2026
@github-actions github-actions Bot closed this Aug 31, 2026
@github-actions
github-actions Bot deleted the bump-mlx-0.32.2 branch August 31, 2026 16:31
@chenrui333

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@chenrui333 chenrui333 added superseded PR was replaced by another PR and removed stale No recent activity labels Oct 3, 2026
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