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template-instances
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CUDA: FA support for Deepseek (Ampere or newer) (#13306)
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2025-05-09 13:34:58 +02:00 |
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vendors
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CUDA/HIP: Share the same unified memory allocation logic. (#12934)
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2025-04-15 11:20:38 +02:00 |
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acc.cu
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llama/ggml: add LLM training support (#10544)
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2025-05-12 14:44:49 +02:00 |
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acc.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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arange.cu
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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arange.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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argmax.cu
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cuda : optimize argmax (#10441)
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2024-11-21 18:18:50 +01:00 |
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argmax.cuh
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ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
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2024-10-03 21:17:26 +03:00 |
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argsort.cu
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ggml : reduce hash table reset cost (#8698)
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2024-07-27 04:41:55 +02:00 |
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argsort.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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binbcast.cu
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Support pure float16 add/sub/mul/div operations in the CUDA (and CPU) backend (ggml/1121)
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2025-03-03 18:18:11 +02:00 |
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binbcast.cuh
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ggml/examples: add backend support for numerical optimization (ggml/949)
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2024-09-20 21:15:05 +03:00 |
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clamp.cu
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cuda: unary ops as float + de-duplicate (ggml/1130)
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2025-03-03 18:18:11 +02:00 |
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clamp.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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CMakeLists.txt
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CUDA: FA support for Deepseek (Ampere or newer) (#13306)
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2025-05-09 13:34:58 +02:00 |
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common.cuh
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HIP: Replace usage of depricated preprocessor macro __AMDGCN_WAVEFRONT_SIZE__ (#14183)
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2025-06-15 15:45:27 +02:00 |
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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 (#12611)
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2025-03-30 10:59:38 +02:00 |
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concat.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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conv-transpose-1d.cu
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musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
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2025-03-30 10:59:38 +02:00 |
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conv-transpose-1d.cuh
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feat: cuda implementation for ggml_conv_transpose_1d (ggml/854)
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2024-07-08 12:23:00 +03:00 |
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convert.cu
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CUDA: fix non-cont. inputs for batched mat mul (#13155)
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2025-04-29 16:00:27 +02:00 |
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convert.cuh
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CUDA: fix non-cont. inputs for batched mat mul (#13155)
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2025-04-29 16:00:27 +02:00 |
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count-equal.cu
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ggml: fix zero division in ‘dne’ calculation in CUDA COUNT_EQUAL operator when ‘ne’ is small (#10213)
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2024-11-09 08:35:46 +01:00 |
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count-equal.cuh
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ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
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2024-10-03 21:17:26 +03:00 |
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cp-async.cuh
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CUDA: FA support for Deepseek (Ampere or newer) (#13306)
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2025-05-09 13:34:58 +02:00 |
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cpy.cu
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musa: Upgrade MUSA SDK version to rc4.0.1 and use mudnn::Unary::IDENTITY op to accelerate D2D memory copy (#13647)
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2025-05-21 09:58:49 +08:00 |
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cpy.cuh
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ggml: Re-enable CUDA graphs in presence of CONT and DUP nodes (#12970)
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2025-04-17 15:19:42 +02:00 |
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cross-entropy-loss.cu
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MUSA: support ARM64 and enable dp4a .etc (#11843)
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2025-02-21 09:46:23 +02:00 |
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cross-entropy-loss.cuh
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ggml/examples: add backend support for numerical optimization (ggml/949)
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2024-09-20 21:15:05 +03:00 |
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dequantize.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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diagmask.cu
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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diagmask.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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fattn-common.cuh
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CUDA: fix FA tg at long context for CC >= 8.9 (#13852)
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2025-05-28 13:33:37 +02:00 |
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fattn-mma-f16.cuh
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CUDA: fix FTZ in FA for Gemma 3 (#13991)
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2025-06-04 08:57:05 +02:00 |
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fattn-tile-f16.cu
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CUDA: FA support for Deepseek (Ampere or newer) (#13306)
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2025-05-09 13:34:58 +02:00 |
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fattn-tile-f16.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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fattn-tile-f32.cu
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CUDA: FA support for Deepseek (Ampere or newer) (#13306)
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2025-05-09 13:34:58 +02:00 |
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fattn-tile-f32.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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fattn-vec-f16.cuh
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CUDA: fix race condition in FA vector kernels (#13742)
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2025-05-24 11:46:19 +02:00 |
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fattn-vec-f32.cuh
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CUDA: fix race condition in FA vector kernels (#13742)
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2025-05-24 11:46:19 +02:00 |
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fattn-wmma-f16.cu
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CUDA: FA support for Deepseek (Ampere or newer) (#13306)
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2025-05-09 13:34:58 +02:00 |
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fattn-wmma-f16.cuh
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CUDA: use mma PTX instructions for FlashAttention (#11583)
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2025-02-02 19:31:09 +01:00 |
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fattn.cu
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CUDA: faster Deepseek FA, add Turing support (#13435)
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2025-05-14 16:08:20 +02:00 |
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fattn.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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getrows.cu
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CUDA: fix crash on large batch size for MoE models (#13384)
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2025-05-09 12:14:04 +02:00 |
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getrows.cuh
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CUDA: batched+noncont MMQ, refactor bs>1 MoE code (#13199)
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2025-04-30 23:12:59 +02:00 |
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ggml-cuda.cu
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cuda : fix device sync on buffer clear (#14033)
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2025-06-09 16:36:26 +02:00 |
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gla.cu
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llama: add support for QRWKV6 model architecture (#11001)
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2025-01-10 09:58:08 +08:00 |
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gla.cuh
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llama: add support for QRWKV6 model architecture (#11001)
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2025-01-10 09:58:08 +08:00 |
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im2col.cu
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CUDA: fix 1D im2col, add tests (ggml/993)
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2024-10-23 16:50:02 +03:00 |
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im2col.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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mma.cuh
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musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
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2025-03-30 10:59:38 +02:00 |
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mmq.cu
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CUDA: fix crash on large batch size for quant. MoE (#13537)
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2025-05-14 16:41:02 +02:00 |
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mmq.cuh
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cuda : remove nrows_x in mul_mat_q_process_tile (#13325)
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2025-05-07 09:48:23 +02:00 |
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mmv.cu
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CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014)
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2025-04-22 21:27:40 +02:00 |
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mmv.cuh
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CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014)
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2025-04-22 21:27:40 +02:00 |
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mmvq.cu
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CUDA: fix crash with partial offloading of MoE (#13439)
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2025-05-11 16:09:33 +02:00 |
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mmvq.cuh
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CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014)
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2025-04-22 21:27:40 +02:00 |
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norm.cu
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llama: Add support for RWKV v7 architecture (#12412)
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2025-03-18 07:27:50 +08:00 |
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norm.cuh
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llama: Add support for RWKV v7 architecture (#12412)
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2025-03-18 07:27:50 +08:00 |
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opt-step-adamw.cu
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ggml: new optimization interface (ggml/988)
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2024-11-17 08:30:29 +02:00 |
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opt-step-adamw.cuh
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ggml/examples: add backend support for numerical optimization (ggml/949)
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2024-09-20 21:15:05 +03:00 |
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out-prod.cu
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CPU/CUDA: fix (GQA) mul mat back, add CUDA support (#11380)
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2025-01-24 12:38:31 +01:00 |
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out-prod.cuh
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ggml/examples: add backend support for numerical optimization (ggml/949)
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2024-09-20 21:15:05 +03:00 |
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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 (#12611)
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2025-03-30 10:59:38 +02:00 |
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pad.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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pool2d.cu
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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pool2d.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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quantize.cu
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CUDA: fix crash on large batch size for quant. MoE (#13537)
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2025-05-14 16:41:02 +02:00 |
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quantize.cuh
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CUDA: batched+noncont MMQ, refactor bs>1 MoE code (#13199)
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2025-04-30 23:12:59 +02:00 |
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rope.cu
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CUDA: backwards pass for misc. ops, add tests (#11257)
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2025-01-16 16:43:38 +01:00 |
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rope.cuh
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RoPE: fix back, CUDA support for back + noncont. (#11240)
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2025-01-15 12:51:37 +01:00 |
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scale.cu
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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scale.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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softmax.cu
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HIP: fix flash_attn_stream_k_fixup warning (#11604)
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2025-02-02 23:48:29 +01:00 |
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softmax.cuh
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CUDA: backwards pass for misc. ops, add tests (#11257)
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2025-01-16 16:43:38 +01:00 |
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ssm-conv.cu
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fix MUSA compiler warning (#12704)
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2025-04-03 09:32:55 +02:00 |
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ssm-conv.cuh
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ggml : faster ssm scan (#10558)
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2025-03-31 18:05:13 +02:00 |
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ssm-scan.cu
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CUDA/HIP: fix ssm_scan on devices where warp size is not 32 (#14196)
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2025-06-15 17:30:13 +02:00 |
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ssm-scan.cuh
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ggml : faster ssm scan (#10558)
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2025-03-31 18:05:13 +02:00 |
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sum.cu
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llama/ggml: add LLM training support (#10544)
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2025-05-12 14:44:49 +02:00 |
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sum.cuh
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tests: add gradient tests for all backends (ggml/932)
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2024-09-08 11:05:55 +03:00 |
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sumrows.cu
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sync : ggml
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2024-08-27 22:41:27 +03:00 |
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sumrows.cuh
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sync : ggml
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2024-08-27 22:41:27 +03:00 |
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tsembd.cu
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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tsembd.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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unary.cu
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ggml : add ggml_gelu_erf() CUDA kernel (#13719)
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2025-05-24 13:06:47 +02:00 |
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unary.cuh
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ggml : add ggml_gelu_erf() CUDA kernel (#13719)
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2025-05-24 13:06:47 +02:00 |
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upscale.cu
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musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
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2025-03-30 10:59:38 +02:00 |
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upscale.cuh
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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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vecdotq.cuh
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CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014)
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2025-04-22 21:27:40 +02:00 |
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wkv.cu
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llama: Add support for RWKV v7 architecture (#12412)
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2025-03-18 07:27:50 +08:00 |
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wkv.cuh
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llama: Add support for RWKV v7 architecture (#12412)
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2025-03-18 07:27:50 +08:00 |
