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template-instances
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ggml: CUDA: add head size 72 for flash-attn (llama/16962)
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2025-11-09 23:38:03 +02:00 |
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vendors
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SOLVE_TRI extension to more dimensions (llama/17793)
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2025-12-17 15:19:45 +02:00 |
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CMakeLists.txt
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CUDA: skip fusion for repeating adds in bias (llama/17080)
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2025-11-09 23:38:03 +02:00 |
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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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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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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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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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arange.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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argmax.cu
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cuda : optimize argmax (llama/10441)
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2024-12-08 20:14:35 +02:00 |
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argmax.cuh
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ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
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2024-10-05 15:23:51 +03:00 |
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argsort.cu
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cuda : add error checking for cudaMemcpyAsync in argsort (llama/17599)
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2025-12-12 17:53:13 +02:00 |
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argsort.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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binbcast.cu
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ggml: fix CUDA grid launch condition for large block_nums.y in binbcast (llama/16742)
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2025-11-09 23:38:03 +02:00 |
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binbcast.cuh
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CUDA: fuse adds, fuse add with rms norm (llama/15631)
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2025-09-20 13:42:44 +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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2025-03-08 15:13:01 +02:00 |
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clamp.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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common.cuh
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HIP: enable mmf for RDNA3 (llama/17879)
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2025-12-17 15:19:47 +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 (llama/12611)
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2025-03-31 14:56:53 +03:00 |
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concat.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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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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feat: cuda implementation for `ggml_conv_transpose_1d` (ggml/854)
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2024-07-08 14:53:55 +03:00 |
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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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conv2d.cu
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CUDA: fix build error from ambiguous __half conversions in conv2d (llama/15690)
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2025-09-20 13:42:46 +03:00 |
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conv2d.cuh
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CUDA: add conv2d (llama/15635)
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2025-09-20 13:42:44 +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: RDNA4 tensor core support for MMF (llama/17077)
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2025-12-12 17:53:06 +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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2024-11-15 15:21:04 +02:00 |
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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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2024-10-05 15:23:51 +03:00 |
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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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cuda : support non-contiguous i32 to i32 copy (llama/17326)
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2025-12-12 17:53:06 +02:00 |
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cpy.cu
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enable fp16/fast_fp16/bf16_mma on PH1 (llama/17551)
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2025-12-12 17:53:12 +02:00 |
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cpy.cuh
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cuda : remove legacy copy-op pointer indirection code (llama/16485)
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2025-10-15 09:29:17 +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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ggml/examples: add backend support for numerical optimization (ggml/949)
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2024-09-24 19:45:08 +03:00 |
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cumsum.cu
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Add support for CUMSUM and TRI for CUDA. (llama/17584)
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2025-12-12 17:53:17 +02:00 |
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cumsum.cuh
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Add support for CUMSUM and TRI for CUDA. (llama/17584)
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2025-12-12 17:53:17 +02:00 |
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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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diag.cu
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Add DIAG for CUDA (llama/17873)
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2025-12-12 17:53:23 +02:00 |
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diag.cuh
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Add DIAG for CUDA (llama/17873)
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2025-12-12 17:53:23 +02:00 |
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diagmask.cu
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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diagmask.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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fattn-common.cuh
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CUDA: fix overflow in MMA kernel without stream-k (llama/17939)
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2025-12-17 15:19:48 +02:00 |
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fattn-mma-f16.cuh
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CUDA: fix overflow in MMA kernel without stream-k (llama/17939)
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2025-12-17 15:19:48 +02:00 |
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fattn-tile.cu
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ggml: CUDA: add head size 72 for flash-attn (llama/16962)
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2025-11-09 23:38:03 +02:00 |
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fattn-tile.cuh
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CUDA: fix FP16 overflow in tile FA kernel (llama/17875)
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2025-12-12 17:53:22 +02:00 |
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fattn-vec.cuh
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CUDA: fix FA VKQ accumulator overflow (llama/17746)
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2025-12-12 17:53:17 +02:00 |
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fattn-wmma-f16.cu
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CUDA: fix FA VKQ accumulator overflow (llama/17746)
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2025-12-12 17:53:17 +02:00 |
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fattn-wmma-f16.cuh
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CUDA: generalized (mma) FA, add Volta support (llama/17505)
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2025-12-12 17:53:16 +02:00 |
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fattn.cu
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CUDA: fix unpadded strides in MMA FA kernel (llama/17891)
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2025-12-12 17:53:23 +02:00 |
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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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fill.cu
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ggml : allow fill node alloc inplace (llama/17870)
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2025-12-12 17:53:22 +02:00 |
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fill.cuh
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cuda : add FILL op support (llama/17851)
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2025-12-12 17:53:22 +02:00 |
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getrows.cu
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CUDA: fix GET_ROWS for large tensors (llama/15882)
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2025-09-20 13:42:52 +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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SOLVE_TRI extension to more dimensions (llama/17793)
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2025-12-17 15:19:45 +02:00 |
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gla.cu
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llama: add support for QRWKV6 model architecture (llama/11001)
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2025-01-14 10:38:01 +02:00 |
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gla.cuh
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llama: add support for QRWKV6 model architecture (llama/11001)
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2025-01-14 10:38:01 +02:00 |
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im2col.cu
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CUDA: fix im2col_3d to respect non-contiguous inputs (views) (llama/15956)
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2025-09-20 13:45:30 +03:00 |
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im2col.cuh
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ggml: add ops for WAN video model (cuda && cpu) (llama/15669)
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2025-09-20 13:42:49 +03:00 |
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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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HIP: enable mmf for RDNA3 (llama/17879)
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2025-12-17 15:19:47 +02:00 |
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mmf.cu
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HIP: enable mmf for RDNA3 (llama/17879)
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2025-12-17 15:19:47 +02:00 |
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mmf.cuh
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CUDA: generalized (mma) FA, add Volta support (llama/17505)
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2025-12-12 17:53:16 +02:00 |
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mmid.cu
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CUDA: add fp kernel for larger batch size MoE (llama/16512)
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2025-10-15 09:29:17 +03:00 |
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mmid.cuh
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CUDA: add fp kernel for larger batch size MoE (llama/16512)
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2025-10-15 09:29:17 +03:00 |
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mmq.cu
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HIP: enable WMMA-MMQ INT kernels for RDNA 3 (llama/17576)
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2025-12-12 17:53:17 +02:00 |
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mmq.cuh
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HIP: enable WMMA-MMQ INT kernels for RDNA 3 (llama/17576)
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2025-12-12 17:53:17 +02:00 |
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mmvf.cu
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HIP: enable mmf for RDNA3 (llama/17879)
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2025-12-17 15:19:47 +02:00 |
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mmvf.cuh
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CUDA: fix crash on uneven context without FA (llama/16988)
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2025-11-09 23:38:03 +02:00 |
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mmvq.cu
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CUDA: Remove unneded bias/gate dims in fused mmvq (llama/16858)
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2025-11-09 23:38:03 +02:00 |
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mmvq.cuh
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CUDA: General GEMV fusion (llama/16715)
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2025-11-09 23:38:03 +02:00 |
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norm.cu
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CUDA: Optimize `rms_norm_f32` kernel and its fused variants, giving 1-6% perf E2E (llama/15715)
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2025-09-20 13:42:48 +03:00 |
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norm.cuh
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CUDA: fuse adds, fuse add with rms norm (llama/15631)
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2025-09-20 13:42:44 +03:00 |
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opt-step-adamw.cu
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ggml: new optimization interface (ggml/988)
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2024-11-20 21:00:08 +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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2024-09-24 19:45:08 +03:00 |
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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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CPU/CUDA: fix (GQA) mul mat back, add CUDA support (llama/11380)
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2025-02-03 22:00:57 +02:00 |
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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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2024-09-24 19:45:08 +03:00 |
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pad.cu
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ggml : add circular tiling support to pad, for Vulkan, CUDA, and CPU (used for making seamless textures) (llama/16985)
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2025-12-12 17:53:20 +02:00 |
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pad.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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pad_reflect_1d.cu
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musa: fix build warnings (llama/15611)
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2025-09-29 15:18:10 +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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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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pool2d.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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quantize.cu
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CUDA: fastdiv, launch bounds for mmvq + q8_1 quant (llama/15802)
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2025-09-20 13:42:50 +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: fuse rope + set_rows (llama/16884)
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2025-11-17 21:05:46 +02:00 |
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rope.cuh
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CUDA: fuse rope + set_rows (llama/16884)
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2025-11-17 21:05:46 +02:00 |
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scale.cu
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ggml: add ops for WAN video model (cuda && cpu) (llama/15669)
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2025-09-20 13:42:49 +03:00 |
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scale.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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set-rows.cu
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CUDA: use fastdiv in set-rows (llama/16834)
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2025-11-09 23:38:03 +02:00 |
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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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set.cu
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cuda: add SET operation support (llama/16804)
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2025-11-09 23:38:03 +02:00 |
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set.cuh
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cuda: add SET operation support (llama/16804)
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2025-11-09 23:38:03 +02:00 |
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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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CUDA: backwards pass for misc. ops, add tests (llama/11257)
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2025-02-03 22:00:57 +02:00 |
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solve_tri.cu
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SOLVE_TRI extension to more dimensions (llama/17793)
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2025-12-17 15:19:45 +02:00 |
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solve_tri.cuh
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SOLVE_TRI CUDA kernel for small matrices (llama/17457)
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2025-12-12 17:53:11 +02:00 |
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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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ggml : fix SSM_SCAN for n_groups > 1 (llama/15625)
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2025-09-20 13:42:43 +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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tests: add gradient tests for all backends (ggml/932)
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2024-09-24 19:45:08 +03:00 |
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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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topk-moe.cu
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CUDA: support for weight clamp in top-k norm (llama/16702)
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2025-11-09 23:38:03 +02:00 |
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topk-moe.cuh
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CUDA: support for weight clamp in top-k norm (llama/16702)
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2025-11-09 23:38:03 +02:00 |
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tri.cu
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Add support for CUMSUM and TRI for CUDA. (llama/17584)
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2025-12-12 17:53:17 +02:00 |
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tri.cuh
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Add support for CUMSUM and TRI for CUDA. (llama/17584)
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2025-12-12 17:53:17 +02:00 |
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tsembd.cu
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ggml : fix padding in timestep embedding kernels (llama/15932)
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2025-09-20 13:45:30 +03:00 |
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tsembd.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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unary.cu
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ggml : add ops SOFTPLUS, EXPM1, TRI, SOLVE_TRI, CUMSUM (llama/17063)
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2025-11-17 21:05:46 +02:00 |
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unary.cuh
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ggml : add ops SOFTPLUS, EXPM1, TRI, SOLVE_TRI, CUMSUM (llama/17063)
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2025-11-17 21:05:46 +02:00 |
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upscale.cu
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model: LFM2-VL fixes (llama/17577)
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2025-12-12 17:53:14 +02:00 |
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upscale.cuh
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whisper : reorganize source code + improve CMake (#2256)
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2024-06-26 19:34:09 +03:00 |
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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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