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template-instances
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CUDA: MMQ code deduplication + iquant support (#8495)
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2024-07-20 22:25:26 +02:00 |
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vendors
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musa: enable building fat binaries, enable unified memory, and disable Flash Attention on QY1 (MTT S80) (#9526)
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2024-09-22 16:55:49 +02:00 |
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acc.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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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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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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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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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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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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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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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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common.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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concat.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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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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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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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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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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convert.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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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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cpy.cu
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cuda: add q8_0->f32 cpy operation (#9571)
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2024-09-24 02:14:24 +02:00 |
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cpy.cuh
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increase cuda_cpy block size (ggml/996)
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2024-10-26 10:33:56 +03:00 |
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cross-entropy-loss.cu
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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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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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dmmv.cu
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Vectorize load instructions in dmmv f16 CUDA kernel (#9816)
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2024-10-14 02:49:08 +02:00 |
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dmmv.cuh
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cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X (#8800)
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2024-08-01 15:26:22 +02:00 |
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fattn-common.cuh
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CPU/CUDA: Gemma 2 FlashAttention support (#8542)
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2024-08-24 21:34:59 +02:00 |
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fattn-tile-f16.cu
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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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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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musa: enable building fat binaries, enable unified memory, and disable Flash Attention on QY1 (MTT S80) (#9526)
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2024-09-22 16:55:49 +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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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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fattn-vec-f32.cuh
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CPU/CUDA: Gemma 2 FlashAttention support (#8542)
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2024-08-24 21:34:59 +02:00 |
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fattn-wmma-f16.cuh
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CPU/CUDA: Gemma 2 FlashAttention support (#8542)
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2024-08-24 21:34:59 +02:00 |
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fattn.cu
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metal : optimize FA kernels (#10171)
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2024-11-08 13:47:22 +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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ggml : reduce hash table reset cost (#8698)
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2024-07-27 04:41:55 +02:00 |
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getrows.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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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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CUDA: optimize and refactor MMQ (#8416)
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2024-07-11 16:47:47 +02:00 |
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mmq.cu
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CUDA: fix MMQ for non-contiguous src0, add tests (#10021)
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2024-10-24 11:09:36 +02:00 |
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mmq.cuh
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CUDA: fix --split-mode row race condition (#9413)
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2024-09-11 10:22:40 +02:00 |
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mmvq.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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mmvq.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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norm.cu
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ggml : add epsilon as a parameter for group_norm (#8818)
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2024-08-06 10:26:46 +03:00 |
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norm.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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opt-step-adamw.cu
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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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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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ggml : fix builds (#0)
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2024-09-20 21:15:05 +03:00 |
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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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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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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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ggml : reduce hash table reset cost (#8698)
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2024-07-27 04:41:55 +02:00 |
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quantize.cuh
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CUDA: optimize and refactor MMQ (#8416)
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2024-07-11 16:47:47 +02:00 |
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rope.cu
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ggml : move rope type enum to ggml.h (#8949)
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2024-08-13 21:13:15 +02:00 |
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rope.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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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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llama : reorganize source code + improve CMake (#8006)
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2024-06-26 18:33:02 +03:00 |
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softmax.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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sum.cu
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CUDA: fix sum.cu compilation for CUDA < 11.7 (#9562)
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2024-09-20 18:35:35 +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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RWKV v6: RWKV_WKV op CUDA implementation (#9454)
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2024-09-22 04:29:12 +02:00 |
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unary.cuh
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RWKV v6: RWKV_WKV op CUDA implementation (#9454)
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2024-09-22 04:29:12 +02:00 |
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upscale.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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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: MMQ code deduplication + iquant support (#8495)
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2024-07-20 22:25:26 +02:00 |
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wkv6.cu
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Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration (#10133)
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2024-11-07 15:19:10 +08:00 |
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wkv6.cuh
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Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration (#10133)
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2024-11-07 15:19:10 +08:00 |
