| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2026-08-18 | 32.3 kB | |
| v0.32.1 source code.tar.gz | 2026-08-18 | 4.4 MB | |
| v0.32.1 source code.zip | 2026-08-18 | 4.8 MB | |
| Totals: 3 Items | 9.3 MB | 1 | |
What's Changed
- Fix int64 type cast error when loading GGUF metadata arrays by @danlee2002 in https://github.com/ml-explore/mlx/pull/3823
- Document default values in normalization layer docstrings by @Pablosinyores in https://github.com/ml-explore/mlx/pull/3819
- Warn at configure time when NAX kernels are disabled by @pierre427 in https://github.com/ml-explore/mlx/pull/3824
- [CUDA][Improvement] RMSNorm forward speed up by @nastya236 in https://github.com/ml-explore/mlx/pull/3850
- Fix captured random state in compile by @angeloskath in https://github.com/ml-explore/mlx/pull/3828
- Fix JIT preamble header filter matching project paths containing "Xcode" by @apocryphx in https://github.com/ml-explore/mlx/pull/3873
- Document default value of p in dropout layer docstrings by @ayaangazali in https://github.com/ml-explore/mlx/pull/3870
- [WIP] [CUDA] fsdp by @nastya236 in https://github.com/ml-explore/mlx/pull/3768
- Fix triplet_loss docstring to document the reduced output shape by @ayaangazali in https://github.com/ml-explore/mlx/pull/3884
- Zero-copy CPU import: mx.array(host_buffer, copy=False) on unified memory by @HaoXuAI in https://github.com/ml-explore/mlx/pull/3872
- Round MLX_SDPA_BLOCKS up to a multiple of 32 by @pierre427 in https://github.com/ml-explore/mlx/pull/3875
- Reuse Metal WAR tracking hash tables by @neilmehta24 in https://github.com/ml-explore/mlx/pull/3882
- Use unroll_count(4) for the NAX attention Q@K.T loop by @wyanzhao in https://github.com/ml-explore/mlx/pull/3843
- metal: add gemv_wide for fp16/bf16 matmuls of a few rows by @jessegross in https://github.com/ml-explore/mlx/pull/3888
- Fix broken docstring rendering in Linear and RNN by @ayaangazali in https://github.com/ml-explore/mlx/pull/3890
- Fix Adamax betas docstring and MultiOptimizer filters type by @ayaangazali in https://github.com/ml-explore/mlx/pull/3889
- Fix incorrect nvfp4 quantized_matmul through the split-K path by @metascroy in https://github.com/ml-explore/mlx/pull/3854
- [Metal] Avoid regex in custom kernel name generation by @aleroot in https://github.com/ml-explore/mlx/pull/3869
- Fix prod dtype promotion when reducing a size-1 axis by @eyupcanakman in https://github.com/ml-explore/mlx/pull/3898
- [CUDA] Fix grid overflow in gemm conv unfold kernels for >= 65,536 output positions by @AdamDLuz in https://github.com/ml-explore/mlx/pull/3893
- [CUDA] columnwise quantize with tma by @nastya236 in https://github.com/ml-explore/mlx/pull/3157
- metal: reduce NVFP4 scales per 16-lane group by @jessegross in https://github.com/ml-explore/mlx/pull/3934
- Update homebrew in CI by @angeloskath in https://github.com/ml-explore/mlx/pull/3946
- Make index autodiff errors explicitly recommend stop_gradient by @dogukanveziroglu in https://github.com/ml-explore/mlx/pull/3820
- Making JACCL coordinator optional by @angeloskath in https://github.com/ml-explore/mlx/pull/3899
- Fix docstring mismatches in the Python bindings by @ayaangazali in https://github.com/ml-explore/mlx/pull/3948
- Raise a clear error for an invalid quantization mode in nn layers by @ayaangazali in https://github.com/ml-explore/mlx/pull/3914
- Fix incorrect examples and outputs in the usage docs by @ayaangazali in https://github.com/ml-explore/mlx/pull/3956
- Skip test_gather_qmm_sorted cpu test on M1 mac by @zcbenz in https://github.com/ml-explore/mlx/pull/3973
- Fixes an axis mismatch bug in matrix norm for case -1 and 1 by @danlee2002 in https://github.com/ml-explore/mlx/pull/3827
- Fix BatchNorm running variance estimator by @ishtihoss in https://github.com/ml-explore/mlx/pull/3817
- Fix build error caused by TMA macro guard by @zcbenz in https://github.com/ml-explore/mlx/pull/3988
- Fix Glorot/He uniform init docstrings to label the uniform bound, not sigma by @vineethsaivs in https://github.com/ml-explore/mlx/pull/3831
- Fix custom metal kernel cache collision for same name, different source by @katlun-lgtm in https://github.com/ml-explore/mlx/pull/3833
- Fix log_cosh_loss docstring to document the element-wise loss by @winklemad in https://github.com/ml-explore/mlx/pull/3846
- Fix step activation docstring to match >= threshold behavior by @ayaangazali in https://github.com/ml-explore/mlx/pull/3902
- docs: document the reduced-precision float32 default and MLX_ENABLE_TF32 by @stoyoda0012-cyber in https://github.com/ml-explore/mlx/pull/3894
- Fix InstanceNorm Shape docstring to require at least 3 dimensions by @ayaangazali in https://github.com/ml-explore/mlx/pull/3903
- Fix filter_and_map docstring argument order for filter_fn and is_leaf_fn by @ayaangazali in https://github.com/ml-explore/mlx/pull/3906
- Export C++20 requirement to CMake consumers by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/3971
- Fix implicit
threadaddress space qualifier becoming explicit in metal 4.1 by @louen in https://github.com/ml-explore/mlx/pull/3963 - Fix Transformer ignoring a custom encoder or decoder with no parameters by @ayaangazali in https://github.com/ml-explore/mlx/pull/3962
- docs: remove references to removed --no-verify-script launch flag by @latent-9 in https://github.com/ml-explore/mlx/pull/3959
- added eye(0) support and tests by @aaishwarymishra in https://github.com/ml-explore/mlx/pull/3952
- Refactor the JACCL ring and add threads for the multiple rings by @angeloskath in https://github.com/ml-explore/mlx/pull/3900
- Fix shapeless matmul with dynamic batch dimensions by @varshneydevansh in https://github.com/ml-explore/mlx/pull/3813
- Fix JIT build with old macOS SDK by @metascroy in https://github.com/ml-explore/mlx/pull/3853
- Fix cholesky_inv documented argument name to match the binding by @ayaangazali in https://github.com/ml-explore/mlx/pull/3950
- Add new_thread_unsafe_stream to the devices and streams docs by @ayaangazali in https://github.com/ml-explore/mlx/pull/3968
- Add gather_qqmm by @zcbenz in https://github.com/ml-explore/mlx/pull/3757
- Fix missing printoptions doc page from autosummary filename collision by @ayaangazali in https://github.com/ml-explore/mlx/pull/3985
- Document ThreadLocalStream and iinfo in the API reference by @ayaangazali in https://github.com/ml-explore/mlx/pull/3986
- Make "stop" optional in arange by @aaishwarymishra in https://github.com/ml-explore/mlx/pull/3982
- Add softsign to the nn functions docs by @ayaangazali in https://github.com/ml-explore/mlx/pull/3989
- Fix broken all_sum and Group references in the data parallelism example by @ayaangazali in https://github.com/ml-explore/mlx/pull/3996
- Fix ast.metal_kernel typo in the custom Metal kernels guide by @ayaangazali in https://github.com/ml-explore/mlx/pull/3997
- Fix unresolved mx.array docstring references by @ayaangazali in https://github.com/ml-explore/mlx/pull/3990
- python: fix bfloat16 buffer format itemsize mismatch by @reckylurker in https://github.com/ml-explore/mlx/pull/3975
- Template Metal complex scalar lanes by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/3970
- Pad 2D conv input channels to reach the specialized Metal kernel by @eyupcanakman in https://github.com/ml-explore/mlx/pull/3904
- Support head dimension 96 in Metal full attention by @dhiltgen in https://github.com/ml-explore/mlx/pull/3943
- Fix mx.remainder floored-mod for float16/bfloat16 on CPU by @sashko-zakharchuk in https://github.com/ml-explore/mlx/pull/3976
- Fix sorted gather_mm activation row stride by @metascroy in https://github.com/ml-explore/mlx/pull/3960
- Fix state corruption when a primitive throws during eval by @WindChimeRan in https://github.com/ml-explore/mlx/pull/3675
- added complex support by @aaishwarymishra in https://github.com/ml-explore/mlx/pull/3984
- Validate freeze and unfreeze keys against the whole model when recursing by @ayaangazali in https://github.com/ml-explore/mlx/pull/3966
- Fix mlx.launch --python: flag is parsed but never forwarded to the launch script by @jonathan308 in https://github.com/ml-explore/mlx/pull/4002
- Fix broken fully_shard reference in FullyShardedModule docstring by @ayaangazali in https://github.com/ml-explore/mlx/pull/4007
- Use the current interpreter in the comparative benchmark runner by @ayaangazali in https://github.com/ml-explore/mlx/pull/4016
- Document MLX environment variables by @XXXXRT666 in https://github.com/ml-explore/mlx/pull/4000
- Fix CUDA batched GEMV grid overflow by @jasp-nerd in https://github.com/ml-explore/mlx/pull/3929
- Fix all_gather benchmark collapsing its input to a scalar by @ayaangazali in https://github.com/ml-explore/mlx/pull/4017
- Check threadgroup size in the 1-pass sdpa_vector dispatch by @apocryphx in https://github.com/ml-explore/mlx/pull/4018
- Align example projects with the Python 3.10 minimum by @ayaangazali in https://github.com/ml-explore/mlx/pull/4024
- Fix C++ benchmarks failing to build on overloaded astype by @ayaangazali in https://github.com/ml-explore/mlx/pull/4025
- Fix conv_transpose maxBufferLength failures on Metal via tiled unfold by @eyupcanakman in https://github.com/ml-explore/mlx/pull/3845
- Give each host a unique rank in Hostfile.from_list by @ayaangazali in https://github.com/ml-explore/mlx/pull/4027
- Fix crash when reporting partial rings in mlx.distributed_config by @ayaangazali in https://github.com/ml-explore/mlx/pull/4026
- docs: Do not pass MLX_METAL_FAST_SYNCH=1 by default by @katlun-lgtm in https://github.com/ml-explore/mlx/pull/4005
- Fix signed-integer overflow in convolution shape arithmetic by @eyupcanakman in https://github.com/ml-explore/mlx/pull/3938
- Template Metal C2C FFT scalar lanes by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/3969
- Fix segfault in expand_dims for out of bounds negative axes by @Gusanidas in https://github.com/ml-explore/mlx/pull/4021
- Add optional dtype parameter to zeros_like and ones_like by @reckylurker in https://github.com/ml-explore/mlx/pull/4028
- Fix mx.longsumexp output shape issue. by @JasonHonKL in https://github.com/ml-explore/mlx/pull/4030
- Treat backend and envs as optional when parsing a hostfile by @ayaangazali in https://github.com/ml-explore/mlx/pull/4039
- Report bad hostfiles as CLI errors in mlx.launch by @ayaangazali in https://github.com/ml-explore/mlx/pull/4040
- Fix ceil error message to say ceil instead of floor by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4042
- Fix installed static MLX package on Windows by @yingjiacai in https://github.com/ml-explore/mlx/pull/3848
- Derive the qmv fast path K alignment from bits by @jlee5814 in https://github.com/ml-explore/mlx/pull/3965
- Fix eigh UPLO and zero-size eigh/svd on the CPU by @kapellirohith in https://github.com/ml-explore/mlx/pull/3834
- Add metadata to exported functions by @eyupcanakman in https://github.com/ml-explore/mlx/pull/3855
- Fix empty matrix case in cholesky by @prady0t in https://github.com/ml-explore/mlx/pull/4033
- Reject a negative max_norm in clip_grad_norm by @ayaangazali in https://github.com/ml-explore/mlx/pull/4058
- Build extensions with the interpreter running the build by @ayaangazali in https://github.com/ml-explore/mlx/pull/4057
- Reject negative dimensions in broadcast_to and random shapes by @ayaangazali in https://github.com/ml-explore/mlx/pull/4046
- Report bad host arguments as CLI errors instead of tracebacks by @ayaangazali in https://github.com/ml-explore/mlx/pull/4045
- Fix Metal FFT for sizes above 2**20 by @adityasingh2400 in https://github.com/ml-explore/mlx/pull/4013
- Request MSL 4.1 from the runtime compiler on macOS 27 by @magnuslundstedt in https://github.com/ml-explore/mlx/pull/4052
- Fix concurrent Metal kernel cache lookup by @kitty-eu-org in https://github.com/ml-explore/mlx/pull/4043
- Refactor CPU ArgReduce dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4066
- Refactor NumberOfElements dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4064
- Refactor CPU Select dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4065
- Raise qmv batch limit for large matrices on M5-class GPUs by @pierre427 in https://github.com/ml-explore/mlx/pull/3791
- Enable half-precision complex Metal FFT kernels by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/3981
- Fix: mx.distributed.sum_scatter crashes on a scalar(0-d) by @JasonHonKL in https://github.com/ml-explore/mlx/pull/4071
- Return an empty result from pinv for zero-size inputs by @ayaangazali in https://github.com/ml-explore/mlx/pull/4069
- Handle zero-size inputs in eig and qr on the CPU by @ayaangazali in https://github.com/ml-explore/mlx/pull/4068
- Normalize biases before encoding in gather_qmm_rhs by @dudududukim in https://github.com/ml-explore/mlx/pull/4056
- Keep randint samples inside [low, high) by @adityasingh2400 in https://github.com/ml-explore/mlx/pull/4012
- Allow saving empty arrays to npy and safetensors by @ayaangazali in https://github.com/ml-explore/mlx/pull/4080
- Fix DeviceType annotations for device and stream arguments by @XXXXRT666 in https://github.com/ml-explore/mlx/pull/4059
- Refactor CPU DivMod dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4088
- Refactor CPU SegmentedMM dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4087
- Refactor CPU Arange dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4085
- Fix Device and Stream lexicographic ordering by @wgu9 in https://github.com/ml-explore/mlx/pull/4086
- Enable complex64 scatter addition on GPU by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4078
- Optimize large NVFP4 QMV on M5 Max by @dhiltgen in https://github.com/ml-explore/mlx/pull/3961
- ring: fail on peer disconnect instead of hanging forever by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4060
- Fix: propagate NaN when dealing with cummax and curmin by @JasonHonKL in https://github.com/ml-explore/mlx/pull/4047
- Refactor CPU equal_nan dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4095
- Refactor CPU Matmul dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4103
- Refactor CPU Gather dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4105
- Refactor generic CPU unary dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4106
- Refactor generic CPU binary dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4107
- Validate pooling kernel size, stride and padding by @ayaangazali in https://github.com/ml-explore/mlx/pull/4101
- Only reject max and min when a reduced axis is empty by @ayaangazali in https://github.com/ml-explore/mlx/pull/4079
- Fix SinusoidalPositionalEncoding silently overriding explicit scale=0.0 by @YassineMA03 in https://github.com/ml-explore/mlx/pull/4098
- Fix any and all treating -0.0 as nonzero by @ayaangazali in https://github.com/ml-explore/mlx/pull/4090
- Fix Eigh CPU dtype error message by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4130
- Fix random distribution dtype error messages by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4131
- Fix safetensors dtype error formatting by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4132
- Fix no-GPU synchronize error formatting by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4133
- Fix: mx.isinf doens't consider imaginary plane. by @JasonHonKL in https://github.com/ml-explore/mlx/pull/4092
- Refactor CPU Copy destination dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4104
- Refactor CPU GatherAxis dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4109
- Refactor inexact CPU unary dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4111
- Refactor CPU comparison dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4112
- Replace Ring's local dtype macro with common dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4120
- Refactor CPU ArgSort dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4123
- Refactor CPU Softmax dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4127
- Use common dtype dispatch for Metal Arange by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4128
- Pick BM from rows per expert in gather_qmm_rhs_nax by @dwijenpatel in https://github.com/ml-explore/mlx/pull/4023
- Enable complex64 take_along_axis backward on Metal by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4094
- Add mx.searchsorted with CPU, Metal and CUDA kernels by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4035
- Stop integer power from hanging on a negative exponent by @ayaangazali in https://github.com/ml-explore/mlx/pull/4100
- Fix second order gradients for sort, partition, topk and cummax/cummin by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4117
- Fix segfault on negative out of bounds axes in take_along_axis/put_along_axis by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4118
- Deduplicate slow CPU convolution dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4126
- Use common dispatch for compiled constants by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4129
- Fix set_printoptions example by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4140
- Clarify export output type diagnostic by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4141
- Fix integer keys collision in tree_unflatten by @Solaris-star in https://github.com/ml-explore/mlx/pull/3878
- Fix fence tracking for donated dynamic slice offsets by @michaelellis003 in https://github.com/ml-explore/mlx/pull/4099
- Deduplicate distributed all-reduce construction by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4144
- Deduplicate distributed socket errors by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4145
- Remove redundant Metal bitwise dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4147
- Deduplicate custom Metal kernel size validation by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4149
- Deduplicate CUBLAS compute type cases by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4151
- Refactor CPU Scatter dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4155
- fix(cpu): name the right routine in LUF and SVD error messages by @devteamaegis in https://github.com/ml-explore/mlx/pull/4167
- Refactor CPU ArgPartition dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4156
- add complex to scalar to avoid raising warnings by linters by @aaishwarymishra in https://github.com/ml-explore/mlx/pull/4168
- Refactor CPU Copy source dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4170
- Deduplicate Metal scan encoder setup by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4154
- [Metal] Skip empty NAX GEMM output groups by @XXXXRT666 in https://github.com/ml-explore/mlx/pull/3941
- docs: fix stale CLI invocations in LLM inference example by @deBrian07 in https://github.com/ml-explore/mlx/pull/4172
- Increase ccache size in CI by @zcbenz in https://github.com/ml-explore/mlx/pull/3999
- Fix hadamard_transform on the GPU for n = m with no power-of-2 factor by @axiom-of-choice in https://github.com/ml-explore/mlx/pull/4054
- Refactor CPU Partition dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4175
- Refactor CPU ScatterAxis and MaskedScatter dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4176
- docs: document softmax's
preciseargument by @apocryphx in https://github.com/ml-explore/mlx/pull/4178 - Send out of range trig arguments to libm by @ayaangazali in https://github.com/ml-explore/mlx/pull/4157
- Add reflect and symmetric padding modes to mx.pad by @katlun-lgtm in https://github.com/ml-explore/mlx/pull/3608
- docs: add a usage page on growing arrays by @apocryphx in https://github.com/ml-explore/mlx/pull/4019
- Fix and enable non-transposed NAX qmm by @gordofreemo in https://github.com/ml-explore/mlx/pull/4051
- Add scatter reduce for JACCL by @angeloskath in https://github.com/ml-explore/mlx/pull/3901
- Fix diag for zero-size input by @devteamaegis in https://github.com/ml-explore/mlx/pull/4165
- Add an inverse-CDF path to categorical sampling by @deescondrillas in https://github.com/ml-explore/mlx/pull/4177
- Fail when a requested RDMA device is not found by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4180
- Bound GGUF tensor data offsets against the file mapping by @robertomeroni in https://github.com/ml-explore/mlx/pull/4179
- Shift by the max in log_softmax by @ayaangazali in https://github.com/ml-explore/mlx/pull/4169
- Shift by the max in cross_entropy by @ayaangazali in https://github.com/ml-explore/mlx/pull/4188
- Fix linalg.norm(x, keepdims=True) not keeping dims by @devteamaegis in https://github.com/ml-explore/mlx/pull/4166
- Refactor inexact CPU binary dtype dispatch by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4194
- Implement batched matmul for large 1D dot products by @Ved235 in https://github.com/ml-explore/mlx/pull/3580
- Re-disable qmm_n_nax and fix group_size < 64 by @PhilipJohnBasile in https://github.com/ml-explore/mlx/pull/4202
- fix: shell-quote the working directory in the distributed launch script by @bunlongheng in https://github.com/ml-explore/mlx/pull/4189
- Report when no usable GID is found by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4191
- Keep double precision for python floats in float64 operations by @nileshpatil6 in https://github.com/ml-explore/mlx/pull/4173
- Jaccl ring multi wire fix by @angeloskath in https://github.com/ml-explore/mlx/pull/4193
- Report why creating a queue pair failed by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4209
- Add antialias support to nn.Upsample for linear and cubic modes by @lyonsno in https://github.com/ml-explore/mlx/pull/3677
- Require pytorch 2.12 for metal dlpack tests by @zcbenz in https://github.com/ml-explore/mlx/pull/4206
- Remove std::optional<bool> in C++ public interface by @zcbenz in https://github.com/ml-explore/mlx/pull/4207
- Fix SliceUpdate JVPs with one traced input by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4200
- Raise instead of hanging when reflect/symmetric pad gets an empty axis by @codeAnqiang-ma in https://github.com/ml-explore/mlx/pull/4223
- Reuse Stockham twiddles in large batched Bluestein FFTs by @PhysicistJohn in https://github.com/ml-explore/mlx/pull/4084
- Validate decay_steps and step_size in the schedulers by @ayaangazali in https://github.com/ml-explore/mlx/pull/4217
- Add runnable distributed examples by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4219
- Break monolithic MTLResidencySet into smaller sets by @JamesMcCarthy44 in https://github.com/ml-explore/mlx/pull/4211
- [CUDA][Improvement] RMSNorm backward by @nastya236 in https://github.com/ml-explore/mlx/pull/3881
- Fix MultiOptimizer on models containing empty modules by @erenmenges in https://github.com/ml-explore/mlx/pull/4215
- Return tuple in meshgrid by @JasonHonKL in https://github.com/ml-explore/mlx/pull/4229
- Add endpoint parameter to linspace by @AKnassa in https://github.com/ml-explore/mlx/pull/4184
- Fix vmap of partition/argpartition dropping the kth argument by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4116
- Fix nan_to_num replacing inf with 0 for float16 and bfloat16 by @codeAnqiang-ma in https://github.com/ml-explore/mlx/pull/4222
- Fix einsum not broadcasting batch dimensions in batched tensordot by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4125
- Dequantize in float32 by @RohanGautam in https://github.com/ml-explore/mlx/pull/4241
- Reject complex in erf and erfinv by @ayaangazali in https://github.com/ml-explore/mlx/pull/4243
- Make abs a no-op for unsigned types in the simd helpers by @ayaangazali in https://github.com/ml-explore/mlx/pull/4240
- Fix quantize matrix multiplication floor issue by @JasonHonKL in https://github.com/ml-explore/mlx/pull/4251
- Only use MPI backend for world size > 1 by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4210
- Reject complex in expm1, sigmoid and arctan2 by @ayaangazali in https://github.com/ml-explore/mlx/pull/4257
- Decompose small kernel-depth 3D convs into 2D convs by @katlun-lgtm in https://github.com/ml-explore/mlx/pull/3785
- Fix Metal sort of a view with a negative stride by @robertomeroni in https://github.com/ml-explore/mlx/pull/4252
- Mirror the depth axis in the decomposed 3D conv when flipped by @ayaangazali in https://github.com/ml-explore/mlx/pull/4277
- Fix Metal row reductions on negative-stride views by @FU-max-boop in https://github.com/ml-explore/mlx/pull/4267
- [CUDA] Fix custom kernel cache collision for same name, different source by @HaoXuAI in https://github.com/ml-explore/mlx/pull/4273
- Fix ops rejecting integers larger than INT32_MAX by @FeliGame in https://github.com/ml-explore/mlx/pull/4255
- Fix var/std for complex numbers by @ayaangazali in https://github.com/ml-explore/mlx/pull/4260
- Fix int32 overflow in conv padded input and pad shapes by @eyupcanakman in https://github.com/ml-explore/mlx/pull/4258
- Reject complex in remainder by @ayaangazali in https://github.com/ml-explore/mlx/pull/4270
- Compare the macOS SDK version as a version when gating JACCL by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4286
- Clamp ring socket transfers so a payload of 2 GiB or more can be sent by @erwinzhang7 in https://github.com/ml-explore/mlx/pull/4281
- Replace hand-rolled axis normalization with normalize_axis_index in split/unstack/partition/topk by @Adityaj0 in https://github.com/ml-explore/mlx/pull/4288
- Remove grouped output in CI by @zcbenz in https://github.com/ml-explore/mlx/pull/4195
- [CUDA] Fix finding cuda 13 headers in JIT compilation by @zcbenz in https://github.com/ml-explore/mlx/pull/3995
- Refactor wheel building script by @zcbenz in https://github.com/ml-explore/mlx/pull/3818
- Make mx.compile cache erasing thread safe by @zcbenz in https://github.com/ml-explore/mlx/pull/4248
- Add builds for free-threaded python by @zcbenz in https://github.com/ml-explore/mlx/pull/3812
- Fix int32 overflow in concatenate/repeat/kron by @ayaangazali in https://github.com/ml-explore/mlx/pull/4303
- Widen list elements that do not fit in int32 to int64 by @ayaangazali in https://github.com/ml-explore/mlx/pull/4305
- Propagate CPU errors to events by @zcbenz in https://github.com/ml-explore/mlx/pull/3742
- Fix mx.arange dtype inference overflow regression by @shoutoutuoadi325 in https://github.com/ml-explore/mlx/pull/4324
- Add workflow to update pull request limit bypass list by @zcbenz in https://github.com/ml-explore/mlx/pull/4320
- Support head dimension 72 in Metal full attention by @dhiltgen in https://github.com/ml-explore/mlx/pull/4330
New Contributors
- @pierre427 made their first contribution in https://github.com/ml-explore/mlx/pull/3824
- @apocryphx made their first contribution in https://github.com/ml-explore/mlx/pull/3873
- @ayaangazali made their first contribution in https://github.com/ml-explore/mlx/pull/3870
- @HaoXuAI made their first contribution in https://github.com/ml-explore/mlx/pull/3872
- @neilmehta24 made their first contribution in https://github.com/ml-explore/mlx/pull/3882
- @wyanzhao made their first contribution in https://github.com/ml-explore/mlx/pull/3843
- @metascroy made their first contribution in https://github.com/ml-explore/mlx/pull/3854
- @aleroot made their first contribution in https://github.com/ml-explore/mlx/pull/3869
- @AdamDLuz made their first contribution in https://github.com/ml-explore/mlx/pull/3893
- @vineethsaivs made their first contribution in https://github.com/ml-explore/mlx/pull/3831
- @winklemad made their first contribution in https://github.com/ml-explore/mlx/pull/3846
- @stoyoda0012-cyber made their first contribution in https://github.com/ml-explore/mlx/pull/3894
- @PhysicistJohn made their first contribution in https://github.com/ml-explore/mlx/pull/3971
- @latent-9 made their first contribution in https://github.com/ml-explore/mlx/pull/3959
- @aaishwarymishra made their first contribution in https://github.com/ml-explore/mlx/pull/3952
- @reckylurker made their first contribution in https://github.com/ml-explore/mlx/pull/3975
- @sashko-zakharchuk made their first contribution in https://github.com/ml-explore/mlx/pull/3976
- @WindChimeRan made their first contribution in https://github.com/ml-explore/mlx/pull/3675
- @jonathan308 made their first contribution in https://github.com/ml-explore/mlx/pull/4002
- @jasp-nerd made their first contribution in https://github.com/ml-explore/mlx/pull/3929
- @Gusanidas made their first contribution in https://github.com/ml-explore/mlx/pull/4021
- @JasonHonKL made their first contribution in https://github.com/ml-explore/mlx/pull/4030
- @yingjiacai made their first contribution in https://github.com/ml-explore/mlx/pull/3848
- @jlee5814 made their first contribution in https://github.com/ml-explore/mlx/pull/3965
- @kapellirohith made their first contribution in https://github.com/ml-explore/mlx/pull/3834
- @prady0t made their first contribution in https://github.com/ml-explore/mlx/pull/4033
- @magnuslundstedt made their first contribution in https://github.com/ml-explore/mlx/pull/4052
- @kitty-eu-org made their first contribution in https://github.com/ml-explore/mlx/pull/4043
- @dudududukim made their first contribution in https://github.com/ml-explore/mlx/pull/4056
- @erwinzhang7 made their first contribution in https://github.com/ml-explore/mlx/pull/4060
- @YassineMA03 made their first contribution in https://github.com/ml-explore/mlx/pull/4098
- @dwijenpatel made their first contribution in https://github.com/ml-explore/mlx/pull/4023
- @Adityaj0 made their first contribution in https://github.com/ml-explore/mlx/pull/4117
- @Solaris-star made their first contribution in https://github.com/ml-explore/mlx/pull/3878
- @michaelellis003 made their first contribution in https://github.com/ml-explore/mlx/pull/4099
- @devteamaegis made their first contribution in https://github.com/ml-explore/mlx/pull/4167
- @deBrian07 made their first contribution in https://github.com/ml-explore/mlx/pull/4172
- @axiom-of-choice made their first contribution in https://github.com/ml-explore/mlx/pull/4054
- @gordofreemo made their first contribution in https://github.com/ml-explore/mlx/pull/4051
- @deescondrillas made their first contribution in https://github.com/ml-explore/mlx/pull/4177
- @robertomeroni made their first contribution in https://github.com/ml-explore/mlx/pull/4179
- @Ved235 made their first contribution in https://github.com/ml-explore/mlx/pull/3580
- @PhilipJohnBasile made their first contribution in https://github.com/ml-explore/mlx/pull/4202
- @bunlongheng made their first contribution in https://github.com/ml-explore/mlx/pull/4189
- @nileshpatil6 made their first contribution in https://github.com/ml-explore/mlx/pull/4173
- @codeAnqiang-ma made their first contribution in https://github.com/ml-explore/mlx/pull/4223
- @JamesMcCarthy44 made their first contribution in https://github.com/ml-explore/mlx/pull/4211
- @erenmenges made their first contribution in https://github.com/ml-explore/mlx/pull/4215
- @AKnassa made their first contribution in https://github.com/ml-explore/mlx/pull/4184
- @RohanGautam made their first contribution in https://github.com/ml-explore/mlx/pull/4241
- @FU-max-boop made their first contribution in https://github.com/ml-explore/mlx/pull/4267
- @FeliGame made their first contribution in https://github.com/ml-explore/mlx/pull/4255
- @shoutoutuoadi325 made their first contribution in https://github.com/ml-explore/mlx/pull/4324
Full Changelog: https://github.com/ml-explore/mlx/compare/v0.32.0...v0.32.1