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template-instances
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llama : add gpt-oss (llama/15091)
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2025-08-18 20:30:45 +03:00 |
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vendors
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CUDA: MoE helper in device code, better tile sizes (llama/15525)
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2025-09-20 13:42:41 +03:00 |
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CMakeLists.txt
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CUDA: replace GGML_CUDA_F16 with CUDA arch checks (llama/15433)
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2025-09-20 13:42:38 +03:00 |
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acc.cu
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llama/ggml: add LLM training support (llama/10544)
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2025-05-13 13:59:21 +03:00 |
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acc.cuh
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…
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add-id.cu
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musa: fix build warnings (llama/15258)
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2025-09-20 13:42:38 +03:00 |
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add-id.cuh
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llama : add gpt-oss (llama/15091)
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2025-08-18 20:30:45 +03:00 |
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arange.cu
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…
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arange.cuh
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…
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argmax.cu
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…
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argmax.cuh
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…
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argsort.cu
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…
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argsort.cuh
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…
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binbcast.cu
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…
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binbcast.cuh
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…
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clamp.cu
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…
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clamp.cuh
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…
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common.cuh
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CUDA: MoE helper in device code, better tile sizes (llama/15525)
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2025-09-20 13:42:41 +03:00 |
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concat.cu
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musa: fix all warnings, re-enable `-DLLAMA_FATAL_WARNINGS=ON` in ci and update doc (llama/12611)
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2025-03-31 14:56:53 +03:00 |
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concat.cuh
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…
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conv-transpose-1d.cu
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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conv-transpose-1d.cuh
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…
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conv2d-dw.cu
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CUDA: add conv_2d_dw (llama/14265)
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2025-06-21 07:34:17 +03:00 |
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conv2d-dw.cuh
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CUDA: add conv_2d_dw (llama/14265)
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2025-06-21 07:34:17 +03:00 |
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conv2d-transpose.cu
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CUDA: add conv_2d_transpose (llama/14287)
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2025-06-21 07:34:17 +03:00 |
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conv2d-transpose.cuh
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CUDA: add conv_2d_transpose (llama/14287)
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2025-06-21 07:34:17 +03:00 |
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convert.cu
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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convert.cuh
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HIP: Cleanup hipification header (llama/15285)
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2025-08-18 20:30:45 +03:00 |
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count-equal.cu
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…
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count-equal.cuh
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…
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cp-async.cuh
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CUDA: FA support for Deepseek (Ampere or newer) (llama/13306)
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2025-05-13 13:59:21 +03:00 |
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cpy-utils.cuh
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HIP: Cleanup hipification header (llama/15285)
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2025-08-18 20:30:45 +03:00 |
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cpy.cu
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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cpy.cuh
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ggml: Re-enable CUDA graphs in presence of CONT and DUP nodes (llama/12970)
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2025-04-24 20:39:16 +03:00 |
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cross-entropy-loss.cu
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CUDA: add dynamic shared mem to softmax, refactor general usage (llama/14497)
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2025-07-12 19:23:56 +03:00 |
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cross-entropy-loss.cuh
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…
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dequantize.cuh
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CUDA: replace GGML_CUDA_F16 with CUDA arch checks (llama/15433)
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2025-09-20 13:42:38 +03:00 |
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diagmask.cu
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…
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diagmask.cuh
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…
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fattn-common.cuh
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CUDA: refactor FA support/selection code (llama/15454)
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2025-09-20 13:42:38 +03:00 |
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fattn-mma-f16.cuh
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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fattn-tile-f16.cu
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CUDA: fix half2 -> half conversion for HIP (llama/15529)
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2025-09-20 13:42:40 +03:00 |
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fattn-tile-f16.cuh
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fattn-tile-f32.cu
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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fattn-tile-f32.cuh
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…
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fattn-vec-f16.cuh
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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fattn-vec-f32.cuh
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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fattn-wmma-f16.cu
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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fattn-wmma-f16.cuh
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…
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fattn.cu
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CUDA: refactor FA support/selection code (llama/15454)
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2025-09-20 13:42:38 +03:00 |
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fattn.cuh
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CUDA: refactor FA support/selection code (llama/15454)
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2025-09-20 13:42:38 +03:00 |
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getrows.cu
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CUDA: replace GGML_CUDA_F16 with CUDA arch checks (llama/15433)
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2025-09-20 13:42:38 +03:00 |
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getrows.cuh
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CUDA: batched+noncont MMQ, refactor bs>1 MoE code (llama/13199)
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2025-05-01 13:29:02 +03:00 |
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ggml-cuda.cu
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Add a warning for special devices (llama/15563)
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2025-09-20 13:42:42 +03:00 |
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gla.cu
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…
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gla.cuh
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…
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im2col.cu
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llama : add gpt-oss (llama/15091)
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2025-08-18 20:30:45 +03:00 |
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im2col.cuh
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…
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mean.cu
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cuda : fix GGML_CUDA_GRAPHS=OFF (llama/15300)
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2025-08-18 20:30:45 +03:00 |
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mean.cuh
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CUDA: add mean operation (llama/14313)
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2025-07-01 17:54:53 +03:00 |
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mma.cuh
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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mmf.cu
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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mmf.cuh
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CUDA: GEMM for FP32/FP16/BF16 and ne11 <= 16 (llama/15131)
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2025-08-18 20:30:45 +03:00 |
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mmq.cu
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CUDA: MoE helper in device code, better tile sizes (llama/15525)
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2025-09-20 13:42:41 +03:00 |
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mmq.cuh
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CUDA: MoE helper in device code, better tile sizes (llama/15525)
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2025-09-20 13:42:41 +03:00 |
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mmvf.cu
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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mmvf.cuh
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CUDA: GEMM for FP32/FP16/BF16 and ne11 <= 16 (llama/15131)
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2025-08-18 20:30:45 +03:00 |
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mmvq.cu
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musa: add GGML_UNUSED_VARS (llama/15446)
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2025-09-20 13:42:38 +03:00 |
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mmvq.cuh
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CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (llama/13014)
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2025-04-24 20:39:16 +03:00 |
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norm.cu
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CUDA: add fused rms norm (llama/14800)
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2025-07-28 13:02:32 +03:00 |
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norm.cuh
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CUDA: add fused rms norm (llama/14800)
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2025-07-28 13:02:32 +03:00 |
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opt-step-adamw.cu
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…
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opt-step-adamw.cuh
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…
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opt-step-sgd.cu
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finetune: SGD optimizer, more CLI args (llama/13873)
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2025-08-18 20:30:45 +03:00 |
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opt-step-sgd.cuh
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finetune: SGD optimizer, more CLI args (llama/13873)
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2025-08-18 20:30:45 +03:00 |
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out-prod.cu
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…
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out-prod.cuh
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…
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pad.cu
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musa: fix all warnings, re-enable `-DLLAMA_FATAL_WARNINGS=ON` in ci and update doc (llama/12611)
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2025-03-31 14:56:53 +03:00 |
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pad.cuh
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…
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pad_reflect_1d.cu
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cuda : add Pad Reflect 1D support (llama/14659)
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2025-09-20 13:42:39 +03:00 |
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pad_reflect_1d.cuh
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cuda : add Pad Reflect 1D support (llama/14659)
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2025-09-20 13:42:39 +03:00 |
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pool2d.cu
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…
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pool2d.cuh
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…
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quantize.cu
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CUDA: fix crash on large batch size for quant. MoE (llama/13537)
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2025-05-19 14:58:39 +03:00 |
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quantize.cuh
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CUDA: batched+noncont MMQ, refactor bs>1 MoE code (llama/13199)
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2025-05-01 13:29:02 +03:00 |
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reduce_rows.cuh
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musa: fix build warnings (llama/15258)
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2025-09-20 13:42:38 +03:00 |
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roll.cu
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CUDA: add roll (llama/14919)
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2025-08-18 20:30:45 +03:00 |
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roll.cuh
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CUDA: add roll (llama/14919)
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2025-08-18 20:30:45 +03:00 |
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rope.cu
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cuda : fix rope with partial rotation and non-cont src (llama/14580)
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2025-07-12 19:23:56 +03:00 |
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rope.cuh
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…
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scale.cu
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ggml : add ggml_scale_bias (llama/14417)
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2025-07-12 19:23:56 +03:00 |
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scale.cuh
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…
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set-rows.cu
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HIP: Cleanup hipification header (llama/15285)
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2025-08-18 20:30:45 +03:00 |
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set-rows.cuh
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CUDA: add set rows for f32 and f16 (llama/14551)
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2025-07-20 00:23:50 +03:00 |
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softcap.cu
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cuda : add softcap fusion (llama/14907)
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2025-08-18 20:30:45 +03:00 |
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softcap.cuh
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cuda : add softcap fusion (llama/14907)
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2025-08-18 20:30:45 +03:00 |
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softmax.cu
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llama : add gpt-oss (llama/15091)
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2025-08-18 20:30:45 +03:00 |
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softmax.cuh
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…
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ssm-conv.cu
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model : support LiquidAI LFM2 hybrid family (llama/14620)
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2025-07-12 19:23:56 +03:00 |
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ssm-conv.cuh
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ggml : faster ssm scan (llama/10558)
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2025-04-02 15:51:57 +03:00 |
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ssm-scan.cu
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cuda: refactored ssm_scan and use CUB (llama/13291)
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2025-08-18 20:30:45 +03:00 |
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ssm-scan.cuh
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ggml : faster ssm scan (llama/10558)
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2025-04-02 15:51:57 +03:00 |
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sum.cu
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CUDA: Optimize `reduce_rows_f32` kernel, leading up to 25x perf improvement on kernel-level and 10% perf increase for Gemma3n (llama/15132)
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2025-08-18 20:30:45 +03:00 |
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sum.cuh
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…
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sumrows.cu
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CUDA: Optimize `reduce_rows_f32` kernel, leading up to 25x perf improvement on kernel-level and 10% perf increase for Gemma3n (llama/15132)
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2025-08-18 20:30:45 +03:00 |
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sumrows.cuh
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CUDA: add mean operation (llama/14313)
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2025-07-01 17:54:53 +03:00 |
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tsembd.cu
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…
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tsembd.cuh
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…
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unary.cu
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llama : add gpt-oss (llama/15091)
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2025-08-18 20:30:45 +03:00 |
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unary.cuh
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llama : add gpt-oss (llama/15091)
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2025-08-18 20:30:45 +03:00 |
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upscale.cu
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CUDA: add bilinear interpolation for upscale (llama/14563)
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2025-07-12 19:23:56 +03:00 |
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upscale.cuh
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…
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vecdotq.cuh
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CUDA: Accelerate MXFP4 table lookup using `__byte_perm` (llama/15451)
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2025-09-20 13:42:41 +03:00 |
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wkv.cu
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llama: Add support for RWKV v7 architecture (llama/12412)
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2025-03-27 11:06:03 +02:00 |
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wkv.cuh
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llama: Add support for RWKV v7 architecture (llama/12412)
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2025-03-27 11:06:03 +02:00 |
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