mlx · Issues· 152 open
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- #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