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template-instances
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CUDA: refactor mmq, dmmv, mmvq (llama/7716)
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2024-06-16 18:19:48 +03:00 |
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acc.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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acc.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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arange.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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arange.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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argsort.cu
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ggml : mul_mat_id use the same tensor for all the experts (llama/6387)
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2024-04-07 16:15:57 +03:00 |
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argsort.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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binbcast.cu
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ggml : group all experts in a single ggml_mul_mat_id (llama/6505)
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2024-05-13 11:02:26 +03:00 |
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binbcast.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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clamp.cu
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Introduction of CUDA Graphs to LLama.cpp (llama/6766)
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2024-05-13 11:02:26 +03:00 |
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clamp.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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common.cuh
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CUDA: use tensor cores for MMQ (llama/7676)
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2024-06-16 18:19:48 +03:00 |
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concat.cu
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cuda : non-cont concat support (llama/7610)
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2024-06-16 18:19:48 +03:00 |
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concat.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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convert.cu
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ggml : drop support for QK_K=64 (llama/7473)
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2024-06-16 18:19:48 +03:00 |
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convert.cuh
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llama : add Command R Plus support (llama/6491)
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2024-04-09 20:26:18 +03:00 |
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cpy.cu
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Introduction of CUDA Graphs to LLama.cpp (llama/6766)
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2024-05-13 11:02:26 +03:00 |
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cpy.cuh
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Introduction of CUDA Graphs to LLama.cpp (llama/6766)
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2024-05-13 11:02:26 +03:00 |
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dequantize.cuh
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llama : add Command R Plus support (llama/6491)
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2024-04-09 20:26:18 +03:00 |
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diagmask.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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diagmask.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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dmmv.cu
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CUDA: refactor mmq, dmmv, mmvq (llama/7716)
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2024-06-16 18:19:48 +03:00 |
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dmmv.cuh
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sync : llama.cpp (skip)
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2024-04-07 16:15:57 +03:00 |
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fattn-common.cuh
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CUDA: use tensor cores for MMQ (llama/7676)
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2024-06-16 18:19:48 +03:00 |
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fattn-tile-f16.cu
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CUDA: use tensor cores for MMQ (llama/7676)
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2024-06-16 18:19:48 +03:00 |
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fattn-tile-f16.cuh
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CUDA: faster large batch FA without tensor cores (llama/7314)
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2024-06-16 18:19:48 +03:00 |
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fattn-tile-f32.cu
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CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (llama/7681)
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2024-06-16 18:19:48 +03:00 |
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fattn-tile-f32.cuh
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CUDA: faster large batch FA without tensor cores (llama/7314)
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2024-06-16 18:19:48 +03:00 |
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fattn-vec-f16.cu
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CUDA: add FP32 FlashAttention vector kernel (llama/7188)
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2024-05-14 19:16:29 +03:00 |
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fattn-vec-f16.cuh
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CUDA: use tensor cores for MMQ (llama/7676)
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2024-06-16 18:19:48 +03:00 |
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fattn-vec-f32.cu
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CUDA: add FP32 FlashAttention vector kernel (llama/7188)
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2024-05-14 19:16:29 +03:00 |
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fattn-vec-f32.cuh
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Fix FlashAttention debug test, FP32 assert (llama/7684)
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2024-06-16 18:19:48 +03:00 |
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fattn-wmma-f16.cuh
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CUDA: use tensor cores for MMQ (llama/7676)
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2024-06-16 18:19:48 +03:00 |
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fattn.cu
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CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (llama/7681)
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2024-06-16 18:19:48 +03:00 |
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fattn.cuh
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ggml : add Flash Attention (llama/5021)
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2024-05-13 11:02:26 +03:00 |
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getrows.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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getrows.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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im2col.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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im2col.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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mma.cuh
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CUDA: int8 tensor cores for MMQ (q4_K, q5_K, q6_K) (llama/7860)
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2024-06-16 18:19:48 +03:00 |
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mmq.cu
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CUDA: revise q8_1 data layout for mul_mat_q (llama/7824)
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2024-06-16 18:19:48 +03:00 |
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mmq.cuh
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CUDA: int8 tensor cores for MMQ (q4_K, q5_K, q6_K) (llama/7860)
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2024-06-16 18:19:48 +03:00 |
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mmvq.cu
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CUDA: refactor mmq, dmmv, mmvq (llama/7716)
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2024-06-16 18:19:48 +03:00 |
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mmvq.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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norm.cu
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ggml : fix YARN + add tests + add asserts (llama/7617)
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2024-06-16 18:19:48 +03:00 |
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norm.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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pad.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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pad.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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pool2d.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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pool2d.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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quantize.cu
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CUDA: revise q8_1 data layout for mul_mat_q (llama/7824)
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2024-06-16 18:19:48 +03:00 |
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quantize.cuh
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CUDA: revise q8_1 data layout for mul_mat_q (llama/7824)
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2024-06-16 18:19:48 +03:00 |
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rope.cu
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ggml : refactor rope norm/neox (llama/7634)
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2024-06-16 18:19:48 +03:00 |
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rope.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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scale.cu
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Introduction of CUDA Graphs to LLama.cpp (llama/6766)
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2024-05-13 11:02:26 +03:00 |
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scale.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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softmax.cu
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CUDA: deduplicate FlashAttention code (llama/7352)
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2024-06-16 18:19:48 +03:00 |
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softmax.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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sumrows.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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sumrows.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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tsembd.cu
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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tsembd.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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unary.cu
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feat: implemented sigmoid function (ggml/806)
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2024-05-13 11:02:26 +03:00 |
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unary.cuh
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feat: implemented sigmoid function (ggml/806)
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2024-05-13 11:02:26 +03:00 |
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upscale.cu
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ggml : add ggml_upscale_ext (ggml/814)
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2024-06-16 18:19:48 +03:00 |
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upscale.cuh
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sync : ggml (#2001)
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2024-03-27 18:55:10 +02:00 |
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vecdotq.cuh
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CUDA: refactor mmq, dmmv, mmvq (llama/7716)
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2024-06-16 18:19:48 +03:00 |
