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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 : add half2 __shfl_xor() for ROCm 5.5 (#7263)
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2024-05-18 10:05:17 +02:00 |
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concat.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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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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Introduction of CUDA Graphs to LLama.cpp (#6766)
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2024-05-08 22:55:49 +02:00 |
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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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llama : add Command R Plus support (#6491)
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2024-04-09 11:16:13 +03:00 |
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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: add FP32 FlashAttention vector kernel (#7188)
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2024-05-12 19:40:45 +02:00 |
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fattn-tile-f16.cu
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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-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: 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.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.cu
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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: add FP32 FlashAttention vector kernel (#7188)
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2024-05-12 19:40:45 +02:00 |
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fattn-vec-f32.cu
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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-f32.cuh
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CUDA: add FP32 FlashAttention vector kernel (#7188)
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2024-05-12 19:40:45 +02:00 |
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fattn.cu
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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.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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mmq.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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mmq.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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mmvq.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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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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cuda : refactor into multiple files (#6269)
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2024-03-25 13:50:23 +01:00 |
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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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llama : add Command R Plus support (#6491)
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2024-04-09 11:16:13 +03:00 |
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quantize.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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rope.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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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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ggml : full ALiBi support (#7192)
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2024-05-11 10:32:41 +03:00 |
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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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feat: implemented sigmoid function (ggml/806)
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2024-05-11 15:38:34 +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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IQ1_M: 1.75 bpw quantization (#6302)
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2024-03-26 15:21:27 +01:00 |
