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[CUDA] gather_mm - #3414
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[CUDA] gather_mm#3414
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angeloskath
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Apr 17, 2026
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Looks great. Should be fairly easy to extend to at least Ampere tensor cores.
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ekryski
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…dLocalStream, linalg.det) Highlights: - ThreadLocalStream in C++ (ml-explore#3405) — joins StreamOrDevice variant - Segmented mm NAX kernel (ml-explore#3419) — new steel/gemm/kernels/steel_gemm_segmented{,_nax} - mlx.core.linalg additions: determinant, sign-log-determinant (ml-explore#3416) - NAX split-K tuning + addmm fix (ml-explore#3422) - gather_mm CUDA + qmm CUDA fixes (ml-explore#3414, ml-explore#3417, ml-explore#3445) - Scheduler::enqueue thread safety (ml-explore#3423) - Random kernel bytes_per_key truncation fix (ml-explore#3432) - Many smaller bug + CI fixes; nanobind 2.12.0 pin Conflict resolution (5 files; all auto-merged cleanly, no manual edits): - mlx/utils.h — `ThreadLocalStream` joins StreamOrDevice; our metal_retain_bound_buffers() helper preserved. - mlx/backend/metal/device.cpp — upstream's "no Metal device available" error message coexists with our signpost/MLX_METAL_PROFILE perf diagnostic + hazard-mode retain logic. - mlx/backend/metal/CMakeLists.txt — upstream's steel_gemm_segmented{,_nax} joins our kernel registrations. - mlx/backend/metal/kernels/CMakeLists.txt — same: upstream segmented + our fused_gate_activation kernel. - tests/scheduler_tests.cpp — upstream's "test thread local stream" joins our scheduler-test alignment for lazy command-encoder init. No disputed conflicts; the auto-merge produced a coherent result with both sides' work intact. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Implement
gather_mmby fusing CUTLASS GEMM with a custom prologue.Note that this implementation is completely unoptimized (e.g. no tensor core, no vectorized read) and only performs 0.3x of cuBLAS, we would need to write our own heuristics to dispatch to proper main loops and alignments, which I'm postponing a bit until we have more CUTLASS kernels that I can make a general design.