Johannes Gäßler
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a818f3028d
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CUDA: use MMQ instead of cuBLAS by default (#8075)
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2024-06-24 17:43:42 +02:00 |
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Johannes Gäßler
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9a590c8226
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CUDA: optimize MMQ int8 tensor core performance (#8062)
* CUDA: optimize MMQ int8 tensor core performance
* only a single get_mma_tile_x_k function
* simplify code, make functions constexpr
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2024-06-24 12:41:23 +02:00 |
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Johannes Gäßler
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d50f8897a7
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CUDA: stream-k decomposition for MMQ (#8018)
* CUDA: stream-k decomposition for MMQ
* fix undefined memory reads for small matrices
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2024-06-20 14:39:21 +02:00 |
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Johannes Gäßler
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76d66ee0be
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CUDA: faster q2_K, q3_K MMQ + int8 tensor cores (#7921)
* CUDA: faster q2_K, q3_K MMQ + int8 tensor cores
* try CI fix
* try CI fix
* try CI fix
* fix data race
* rever q2_K precision related changes
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2024-06-14 18:41:49 +02:00 |
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Johannes Gäßler
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bdcb8f4222
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CUDA: int8 tensor cores for MMQ (q4_K, q5_K, q6_K) (#7860)
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2024-06-11 08:26:07 +02:00 |
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Johannes Gäßler
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1f0dabda8d
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CUDA: use tensor cores for MMQ (#7676)
* CUDA: int8 tensor cores for MMQ (legacy quants)
* fix out-of-bounds writes
* __builtin_assume -> GGML_CUDA_ASSUME
* fix writeback returning too early
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2024-06-10 11:45:13 +02:00 |
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Johannes Gäßler
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42b53d192f
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CUDA: revise q8_1 data layout for mul_mat_q (#7824)
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2024-06-09 09:42:25 +02:00 |
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Johannes Gäßler
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7d1a378b8f
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CUDA: refactor mmq, dmmv, mmvq (#7716)
* CUDA: refactor mmq, dmmv, mmvq
* fix out-of-bounds write
* struct for qk, qr, qi
* fix cmake build
* mmq_type_traits
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2024-06-05 16:53:00 +02:00 |
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slaren
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ae1f211ce2
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cuda : refactor into multiple files (#6269)
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2024-03-25 13:50:23 +01:00 |
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