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template-instances
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ggml-cuda: Add generic NVFP4 MMQ kernel (#21074)
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2026-04-01 12:04:58 +02:00 |
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vendors
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ggml-cuda: Add NVFP4 dp4a kernel (#20644)
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2026-03-26 09:54:03 +01:00 |
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CMakeLists.txt
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ggml-cuda: native bf16 flash attention for vec kernel (#20525)
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2026-03-22 11:05:51 +01:00 |
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acc.cu
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acc.cuh
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add-id.cu
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add-id.cuh
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arange.cu
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arange.cuh
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argmax.cu
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ggml : use WARP_SIZE/2 for argmax reduction offset (#18092)
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2025-12-17 11:47:01 +08:00 |
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argmax.cuh
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argsort.cu
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CUDA : Fix CUB's argsort when nrows % block_size == 0 CCCL < 3.1 (#21181)
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2026-03-30 16:20:00 +02:00 |
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argsort.cuh
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sampling : add support for backend sampling (#17004)
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2026-01-04 22:22:16 +02:00 |
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binbcast.cu
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ggml : extend bin bcast for permuted src1 (#19484)
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2026-02-11 07:52:00 +02:00 |
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binbcast.cuh
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clamp.cu
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clamp.cuh
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common.cuh
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ggml-cuda: Add generic NVFP4 MMQ kernel (#21074)
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2026-04-01 12:04:58 +02:00 |
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concat.cu
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concat.cuh
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conv-transpose-1d.cu
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conv-transpose-1d.cuh
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conv2d-dw.cu
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conv2d-dw.cuh
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conv2d-transpose.cu
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CUDA & CPU: support F32 kernel type for `CONV_TRANSPOSE_2D` (#17094)
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2026-03-26 10:19:14 +08:00 |
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conv2d-transpose.cuh
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CUDA & CPU: support F32 kernel type for `CONV_TRANSPOSE_2D` (#17094)
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2026-03-26 10:19:14 +08:00 |
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conv2d.cu
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conv2d.cuh
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convert.cu
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ggml-cuda: Add NVFP4 dp4a kernel (#20644)
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2026-03-26 09:54:03 +01:00 |
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convert.cuh
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CUDA: fix BF16 FA compilation (#20865)
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2026-03-22 17:53:33 +01:00 |
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count-equal.cu
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count-equal.cuh
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cp-async.cuh
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cpy-utils.cuh
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cuda : support non-contiguous i32 to i32 copy (#17326)
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2025-11-23 11:13:34 +01:00 |
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cpy.cu
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Fix data race in CUDA's "cpy" kernel (influences GGML's DUP, CONT operations). (#20507)
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2026-03-14 13:19:44 +08:00 |
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cpy.cuh
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cuda : remove legacy copy-op pointer indirection code (#16485)
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2025-10-14 11:53:49 +02:00 |
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cross-entropy-loss.cu
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cross-entropy-loss.cuh
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cumsum.cu
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sampling : add support for backend sampling (#17004)
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2026-01-04 22:22:16 +02:00 |
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cumsum.cuh
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Add support for CUMSUM and TRI for CUDA. (#17584)
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2025-12-04 22:19:51 +01:00 |
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dequantize.cuh
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diag.cu
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Add DIAG for CUDA (#17873)
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2025-12-09 20:28:57 +01:00 |
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diag.cuh
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Add DIAG for CUDA (#17873)
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2025-12-09 20:28:57 +01:00 |
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diagmask.cu
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diagmask.cuh
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fattn-common.cuh
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ggml-cuda: native bf16 flash attention for vec kernel (#20525)
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2026-03-22 11:05:51 +01:00 |
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fattn-mma-f16.cuh
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CUDA: Add Flash Attention Support for Head Dimension 512 (#20998)
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2026-04-01 09:07:24 +02:00 |
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fattn-tile.cu
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CUDA: Add Flash Attention Support for Head Dimension 512 (#20998)
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2026-04-01 09:07:24 +02:00 |
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fattn-tile.cuh
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CUDA: Add Flash Attention Support for Head Dimension 512 (#20998)
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2026-04-01 09:07:24 +02:00 |
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fattn-vec.cuh
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ggml-cuda: native bf16 flash attention for vec kernel (#20525)
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2026-03-22 11:05:51 +01:00 |
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fattn-wmma-f16.cu
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Adjust workaround for ROCWMMA_FATTN/GFX9 to only newer ROCm veresions (#19591)
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2026-02-16 14:46:08 +01:00 |
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fattn-wmma-f16.cuh
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chore : correct typos [no ci] (#20041)
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2026-03-05 08:50:21 +01:00 |
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fattn.cu
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CUDA: fix FA kernel selection logic (#21271)
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2026-04-01 22:28:19 +03:00 |
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fattn.cuh
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fill.cu
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ggml : allow fill node alloc inplace (#17870)
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2025-12-09 12:23:47 +01:00 |
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fill.cuh
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cuda : add FILL op support (#17851)
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2025-12-08 21:10:12 +08:00 |
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gated_delta_net.cu
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CUDA: GDN hide memory latency (#20537)
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2026-03-16 11:41:45 +08:00 |
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gated_delta_net.cuh
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ggml: add GATED_DELTA_NET op (#19504)
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2026-03-07 15:41:10 +08:00 |
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getrows.cu
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CUDA: fix GET_ROWS for large tensors (#15882)
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2025-09-09 08:11:01 +02:00 |
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getrows.cuh
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ggml-cuda.cu
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ggml-cuda: Add generic NVFP4 MMQ kernel (#21074)
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2026-04-01 12:04:58 +02:00 |
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gla.cu
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gla.cuh
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im2col.cu
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CUDA: fix im2col_3d to respect non-contiguous inputs (views) (#15956)
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2025-09-16 00:28:31 +02:00 |
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im2col.cuh
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ggml: add ops for WAN video model (cuda && cpu) (#15669)
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2025-09-04 10:38:49 +02:00 |
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mean.cu
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ggml-cuda: enable cuda-graphs for `n-cpu-moe` (#18934)
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2026-01-24 14:25:20 +08:00 |
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mean.cuh
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mma.cuh
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CUDA: add CDNA3 MFMA support for flash attention MMA kernel (#19806)
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2026-02-27 19:37:26 +01:00 |
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mmf.cu
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HIP: add mmf for CDNA (#18896)
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2026-01-29 11:10:53 +01:00 |
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mmf.cuh
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HIP: add mmf for CDNA (#18896)
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2026-01-29 11:10:53 +01:00 |
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mmid.cu
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CUDA: add fp kernel for larger batch size MoE (#16512)
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2025-10-14 13:15:15 +02:00 |
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mmid.cuh
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CUDA: add fp kernel for larger batch size MoE (#16512)
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2025-10-14 13:15:15 +02:00 |
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mmq.cu
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ggml-cuda: Add generic NVFP4 MMQ kernel (#21074)
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2026-04-01 12:04:58 +02:00 |
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mmq.cuh
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ggml-cuda: Add generic NVFP4 MMQ kernel (#21074)
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2026-04-01 12:04:58 +02:00 |
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mmvf.cu
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CUDA: use mmvq for mul-mat-id for small batch sizes (#18958)
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2026-02-03 23:31:23 +08:00 |
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mmvf.cuh
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CUDA: use mmvq for mul-mat-id for small batch sizes (#18958)
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2026-02-03 23:31:23 +08:00 |
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mmvq.cu
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CUDA/HIP: Fix kernel slection for mmvq mmid kernel to align host selection with device launch bounds (#21238)
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2026-04-01 10:21:20 +02:00 |
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mmvq.cuh
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Optimize MOE GEMV kernel for BS > 1. (#20905)
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2026-03-29 18:35:18 +02:00 |
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norm.cu
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CUDA: Factor out and re-use `block_reduce` function (#18785)
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2026-01-15 10:44:54 +08:00 |
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norm.cuh
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opt-step-adamw.cu
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opt-step-adamw.cuh
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opt-step-sgd.cu
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opt-step-sgd.cuh
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out-prod.cu
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out-prod.cuh
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pad.cu
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cuda : extend GGML_OP_PAD to work with non-cont src0 (#19429)
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2026-02-10 08:07:16 +02:00 |
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pad.cuh
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pad_reflect_1d.cu
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musa: fix build warnings (#15611)
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2025-09-26 02:56:10 +02:00 |
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pad_reflect_1d.cuh
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pool2d.cu
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pool2d.cuh
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quantize.cu
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chore : correct typos [no ci] (#20041)
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2026-03-05 08:50:21 +01:00 |
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quantize.cuh
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CUDA: experimental native mxfp4 support for blackwell (#17906)
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2025-12-24 22:28:26 +08:00 |
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reduce_rows.cuh
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CUDA: Factor out and re-use `block_reduce` function (#18785)
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2026-01-15 10:44:54 +08:00 |
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roll.cu
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roll.cuh
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rope.cu
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CUDA: Fix non-contig rope (#19338)
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2026-02-08 15:12:51 +02:00 |
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rope.cuh
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CUDA: fuse rope + set_rows (#16884)
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2025-11-13 08:50:01 +08:00 |
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scale.cu
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ggml: add ops for WAN video model (cuda && cpu) (#15669)
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2025-09-04 10:38:49 +02:00 |
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scale.cuh
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set-rows.cu
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CUDA: use fastdiv in set-rows (#16834)
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2025-10-29 21:11:53 +08:00 |
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set-rows.cuh
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set.cu
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cuda: add SET operation support (#16804)
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2025-10-28 20:10:28 +01:00 |
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set.cuh
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cuda: add SET operation support (#16804)
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2025-10-28 20:10:28 +01:00 |
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softcap.cu
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softcap.cuh
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softmax.cu
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chore : correct typos [no ci] (#20041)
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2026-03-05 08:50:21 +01:00 |
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softmax.cuh
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solve_tri.cu
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chore : correct typos [no ci] (#20041)
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2026-03-05 08:50:21 +01:00 |
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solve_tri.cuh
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SOLVE_TRI CUDA kernel for small matrices (#17457)
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2025-11-28 12:15:32 +08:00 |
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ssm-conv.cu
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cuda/hip: fix loop unrolling in ssm-conv (#20369)
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2026-03-11 13:04:32 +08:00 |
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ssm-conv.cuh
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CUDA: use shared mem for ssm_conv (#20128)
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2026-03-06 23:09:59 +08:00 |
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ssm-scan.cu
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ggml : optimize cuda ssm_scan using warp-level reduction (#18505)
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2026-01-07 02:24:34 +08:00 |
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ssm-scan.cuh
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sum.cu
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sum.cuh
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sumrows.cu
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sumrows.cuh
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top-k.cu
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CUDA: Replace init_offsets kernel with iterators in cub-based argsort (#18930)
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2026-01-20 20:11:01 +08:00 |
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top-k.cuh
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sampling : add support for backend sampling (#17004)
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2026-01-04 22:22:16 +02:00 |
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topk-moe.cu
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ggml-cuda: add mem check for fusion (#19916)
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2026-03-07 00:05:43 +08:00 |
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topk-moe.cuh
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CUDA: refactor topk-moe to enable more models (GLM 4.7, Nemotron etc.) (#19126)
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2026-01-29 10:31:28 +08:00 |
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tri.cu
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Add support for CUMSUM and TRI for CUDA. (#17584)
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2025-12-04 22:19:51 +01:00 |
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tri.cuh
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Add support for CUMSUM and TRI for CUDA. (#17584)
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2025-12-04 22:19:51 +01:00 |
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tsembd.cu
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ggml : fix padding in timestep embedding kernels (#15932)
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2025-09-16 15:25:57 +02:00 |
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tsembd.cuh
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unary.cu
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CUDA: use shared mem for ssm_conv (#20128)
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2026-03-06 23:09:59 +08:00 |
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unary.cuh
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CUDA: use shared mem for ssm_conv (#20128)
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2026-03-06 23:09:59 +08:00 |
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upscale.cu
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model: LFM2-VL fixes (#17577)
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2025-11-30 21:57:31 +01:00 |
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upscale.cuh
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vecdotq.cuh
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ggml-cuda: Add NVFP4 dp4a kernel (#20644)
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2026-03-26 09:54:03 +01:00 |
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wkv.cu
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wkv.cuh
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86221cf6da