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template-instances
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CUDA: refactor mmq, dmmv, mmvq (#7716)
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2024-06-05 16:53:00 +02:00 |
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acc.cu
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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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acc.cuh
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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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arange.cu
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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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arange.cuh
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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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argsort.cu
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ggml : mul_mat_id use the same tensor for all the experts (#6387)
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2024-04-03 16:07:05 +03:00 |
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argsort.cuh
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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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binbcast.cu
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ggml : group all experts in a single ggml_mul_mat_id (#6505)
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2024-04-18 15:18:48 +02:00 |
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binbcast.cuh
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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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clamp.cu
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Introduction of CUDA Graphs to LLama.cpp (#6766)
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2024-05-08 22:55:49 +02:00 |
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clamp.cuh
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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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common.cuh
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CUDA: use tensor cores for MMQ (#7676)
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2024-06-10 11:45:13 +02:00 |
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concat.cu
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cuda : non-cont concat support (#7610)
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2024-05-29 15:38:26 +03:00 |
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concat.cuh
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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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convert.cu
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ggml : drop support for QK_K=64 (#7473)
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2024-05-23 10:00:21 +03:00 |
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convert.cuh
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llama : add Command R Plus support (#6491)
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2024-04-09 11:16:13 +03:00 |
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cpy.cu
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Introduction of CUDA Graphs to LLama.cpp (#6766)
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2024-05-08 22:55:49 +02:00 |
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cpy.cuh
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Introduction of CUDA Graphs to LLama.cpp (#6766)
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2024-05-08 22:55:49 +02:00 |
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dequantize.cuh
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llama : add Command R Plus support (#6491)
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2024-04-09 11:16:13 +03:00 |
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diagmask.cu
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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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diagmask.cuh
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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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dmmv.cu
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CUDA: refactor mmq, dmmv, mmvq (#7716)
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2024-06-05 16:53:00 +02:00 |
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dmmv.cuh
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sync : ggml (#6351)
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2024-03-29 17:45:46 +02:00 |
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fattn-common.cuh
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CUDA: use tensor cores for MMQ (#7676)
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2024-06-10 11:45:13 +02:00 |
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fattn-tile-f16.cu
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CUDA: use tensor cores for MMQ (#7676)
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2024-06-10 11:45:13 +02:00 |
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fattn-tile-f16.cuh
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CUDA: faster large batch FA without tensor cores (#7314)
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2024-05-17 18:54:52 +02:00 |
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fattn-tile-f32.cu
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CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681)
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2024-06-01 15:47:04 +02:00 |
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fattn-tile-f32.cuh
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CUDA: faster large batch FA without tensor cores (#7314)
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2024-05-17 18:54:52 +02:00 |
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fattn-vec-f16.cuh
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CUDA: use tensor cores for MMQ (#7676)
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2024-06-10 11:45:13 +02:00 |
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fattn-vec-f32.cuh
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Fix FlashAttention debug test, FP32 assert (#7684)
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2024-06-01 23:26:10 +02:00 |
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fattn-wmma-f16.cuh
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CUDA: use tensor cores for MMQ (#7676)
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2024-06-10 11:45:13 +02:00 |
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fattn.cu
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CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681)
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2024-06-01 15:47:04 +02:00 |
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fattn.cuh
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ggml : add Flash Attention (#5021)
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2024-04-30 12:16:08 +03:00 |
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getrows.cu
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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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getrows.cuh
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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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im2col.cu
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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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im2col.cuh
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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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mma.cuh
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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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mmq.cu
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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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mmq.cuh
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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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mmvq.cu
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CUDA: refactor mmq, dmmv, mmvq (#7716)
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2024-06-05 16:53:00 +02:00 |
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mmvq.cuh
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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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norm.cu
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ggml : fix YARN + add tests + add asserts (#7617)
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2024-05-29 20:17:31 +03:00 |
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norm.cuh
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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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pad.cu
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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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pad.cuh
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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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pool2d.cu
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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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pool2d.cuh
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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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quantize.cu
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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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quantize.cuh
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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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rope.cu
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ggml : refactor rope norm/neox (#7634)
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2024-06-05 11:29:20 +03:00 |
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rope.cuh
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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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scale.cu
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Introduction of CUDA Graphs to LLama.cpp (#6766)
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2024-05-08 22:55:49 +02:00 |
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scale.cuh
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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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softmax.cu
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CUDA: deduplicate FlashAttention code (#7352)
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2024-05-18 12:36:25 +02:00 |
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softmax.cuh
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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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sumrows.cu
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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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sumrows.cuh
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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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tsembd.cu
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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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tsembd.cuh
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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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unary.cu
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tests : add non-cont unary tests (#7857)
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2024-06-12 16:00:22 +03:00 |
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unary.cuh
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feat: implemented sigmoid function (ggml/806)
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2024-05-11 15:38:34 +03:00 |
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upscale.cu
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ggml : add ggml_upscale_ext (ggml/814)
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2024-05-15 13:23:33 +03:00 |
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upscale.cuh
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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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vecdotq.cuh
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CUDA: refactor mmq, dmmv, mmvq (#7716)
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2024-06-05 16:53:00 +02:00 |
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