Johannes Gäßler 963552903f CUDA: fix broken oob check for FA vec f32 kernel (#7904)

2024-06-12 17:41:51 +02:00

..

template-instances

CUDA: refactor mmq, dmmv, mmvq (#7716)

2024-06-05 16:53:00 +02:00

acc.cu

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acc.cuh

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arange.cu

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arange.cuh

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argsort.cu

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argsort.cuh

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binbcast.cu

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binbcast.cuh

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clamp.cu

Introduction of CUDA Graphs to LLama.cpp (#6766)

2024-05-08 22:55:49 +02:00

clamp.cuh

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common.cuh

CUDA: use tensor cores for MMQ (#7676)

2024-06-10 11:45:13 +02:00

concat.cu

cuda : non-cont concat support (#7610)

2024-05-29 15:38:26 +03:00

concat.cuh

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convert.cu

ggml : drop support for QK_K=64 (#7473)

2024-05-23 10:00:21 +03:00

convert.cuh

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cpy.cu

Introduction of CUDA Graphs to LLama.cpp (#6766)

2024-05-08 22:55:49 +02:00

cpy.cuh

Introduction of CUDA Graphs to LLama.cpp (#6766)

2024-05-08 22:55:49 +02:00

dequantize.cuh

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diagmask.cu

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diagmask.cuh

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dmmv.cu

CUDA: refactor mmq, dmmv, mmvq (#7716)

2024-06-05 16:53:00 +02:00

dmmv.cuh

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fattn-common.cuh

CUDA: use tensor cores for MMQ (#7676)

2024-06-10 11:45:13 +02:00

fattn-tile-f16.cu

CUDA: use tensor cores for MMQ (#7676)

2024-06-10 11:45:13 +02:00

fattn-tile-f16.cuh

CUDA: faster large batch FA without tensor cores (#7314)

2024-05-17 18:54:52 +02:00

fattn-tile-f32.cu

CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681)

2024-06-01 15:47:04 +02:00

fattn-tile-f32.cuh

CUDA: faster large batch FA without tensor cores (#7314)

2024-05-17 18:54:52 +02:00

fattn-vec-f16.cuh

CUDA: use tensor cores for MMQ (#7676)

2024-06-10 11:45:13 +02:00

fattn-vec-f32.cuh

CUDA: fix broken oob check for FA vec f32 kernel (#7904)

2024-06-12 17:41:51 +02:00

fattn-wmma-f16.cuh

CUDA: use tensor cores for MMQ (#7676)

2024-06-10 11:45:13 +02:00

fattn.cu

CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681)

2024-06-01 15:47:04 +02:00

fattn.cuh

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getrows.cu

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getrows.cuh

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im2col.cu

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im2col.cuh

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mma.cuh

CUDA: int8 tensor cores for MMQ (q4_K, q5_K, q6_K) (#7860)

2024-06-11 08:26:07 +02:00

mmq.cu

CUDA: revise q8_1 data layout for mul_mat_q (#7824)

2024-06-09 09:42:25 +02:00

mmq.cuh

CUDA: int8 tensor cores for MMQ (q4_K, q5_K, q6_K) (#7860)

2024-06-11 08:26:07 +02:00

mmvq.cu

CUDA: refactor mmq, dmmv, mmvq (#7716)

2024-06-05 16:53:00 +02:00

mmvq.cuh

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norm.cu

ggml : fix YARN + add tests + add asserts (#7617)

2024-05-29 20:17:31 +03:00

norm.cuh

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pad.cu

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pad.cuh

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pool2d.cu

cuda : refactor into multiple files (#6269)

2024-03-25 13:50:23 +01:00

pool2d.cuh

cuda : refactor into multiple files (#6269)

2024-03-25 13:50:23 +01:00

quantize.cu

CUDA: revise q8_1 data layout for mul_mat_q (#7824)

2024-06-09 09:42:25 +02:00

quantize.cuh

CUDA: revise q8_1 data layout for mul_mat_q (#7824)

2024-06-09 09:42:25 +02:00

rope.cu

ggml : refactor rope norm/neox (#7634)

2024-06-05 11:29:20 +03:00

rope.cuh

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scale.cu

Introduction of CUDA Graphs to LLama.cpp (#6766)

2024-05-08 22:55:49 +02:00

scale.cuh

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softmax.cu

CUDA: deduplicate FlashAttention code (#7352)

2024-05-18 12:36:25 +02:00

softmax.cuh

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sumrows.cu

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sumrows.cuh

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tsembd.cu

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tsembd.cuh

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unary.cu

tests : add non-cont unary tests (#7857)

2024-06-12 16:00:22 +03:00

unary.cuh

feat: implemented sigmoid function (ggml/806)

2024-05-11 15:38:34 +03:00

upscale.cu

ggml : add ggml_upscale_ext (ggml/814)

2024-05-15 13:23:33 +03:00

upscale.cuh

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vecdotq.cuh

CUDA: refactor mmq, dmmv, mmvq (#7716)

2024-06-05 16:53:00 +02:00