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mlx · Issues· 152 open

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Locally synced open issues (discussions stay on GitHub)

  • #4528

    [BUG] Metal `col_reduce_longcolumn` produces wrong results for negative-stride views

    Updated Sep 17, 2026
  • #4526

    ParallelFileReader: uncatchable fatal error when pread lands at EOF

    Updated Sep 17, 2026
  • #4525

    macOS 26 wheel is built for 26.2 but tagged macosx_26_0 — pip installs it on 26.0/26.1, where NAX is enabled on M5-class GPUs

    Updated Sep 17, 2026
  • #4479

    mx.dequantize returns garbage on CPU past 2^31 unpacked bits (int size in cpu/binary.h)

    buglow priorityUpdated Sep 16, 2026
  • #4521

    Metal command-buffer limits (50 ops / 50 MB) cost 5–8% decode throughput on launch-heavy models (M3 Ultra measurements)

    Updated Sep 16, 2026
  • #4435

    `nn.Upsample(mode="linear")` is 2-4x slower than a matmul-based bilinear resize when upsampling

    performanceUpdated Sep 15, 2026
  • #4506

    [BUG] threads and streams issues

    Updated Sep 15, 2026
  • #4509

    [Performance] gather_qmm at M=1 streams 4-bit expert weights at ~half the bandwidth of M=4 (MoE decode)

    Updated Sep 14, 2026
  • #4503

    mx.compile inlines float scalar constants with 7 significant digits, so compiled results differ from eager by 1 ulp

    Updated Sep 14, 2026
  • #4502

    [BUG] `argsort` diverges between cpu and gpu on complexes with NaN

    Updated Sep 14, 2026
  • #3205

    [Enhancement] Group.split() support for JACCL and Ring backends (parity with NCCL #3172)

    enhancementdistributedUpdated Sep 14, 2026
  • #4450

    [BUG] Inconsistent behaviour of the floot_divide integer arrays truncates towards 0

    buglow priorityUpdated Sep 14, 2026
  • #4498

    quantized_matmul is slower than dense bf16 when the output dimension is not a multiple of 8, and ~7x slower below 8

    Updated Sep 13, 2026
  • #4485

    [BUG] JACCL segfaults in mx.distributed.init(backend="jaccl") on 2-node Mac-Mac with RDMA devices present

    Updated Sep 11, 2026
  • #4428

    [ENH]: Using `IndexError` instead of `ValueError` at appropriate places?

    enhancementlow prioritypythonUpdated Sep 10, 2026