Johannes Gäßler 45b5b95e29 CUDA: deduplicate FlashAttention code (llama/7352)

2024-06-16 18:19:48 +03:00

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acc.cu

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acc.cuh

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arange.cu

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arange.cuh

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argsort.cu

ggml : mul_mat_id use the same tensor for all the experts (llama/6387)

2024-04-07 16:15:57 +03:00

argsort.cuh

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binbcast.cu

ggml : group all experts in a single ggml_mul_mat_id (llama/6505)

2024-05-13 11:02:26 +03:00

binbcast.cuh

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clamp.cu

Introduction of CUDA Graphs to LLama.cpp (llama/6766)

2024-05-13 11:02:26 +03:00

clamp.cuh

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common.cuh

CUDA: deduplicate FlashAttention code (llama/7352)

2024-06-16 18:19:48 +03:00

concat.cu

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concat.cuh

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convert.cu

Introduction of CUDA Graphs to LLama.cpp (llama/6766)

2024-05-13 11:02:26 +03:00

convert.cuh

llama : add Command R Plus support (llama/6491)

2024-04-09 20:26:18 +03:00

cpy.cu

Introduction of CUDA Graphs to LLama.cpp (llama/6766)

2024-05-13 11:02:26 +03:00

cpy.cuh

Introduction of CUDA Graphs to LLama.cpp (llama/6766)

2024-05-13 11:02:26 +03:00

dequantize.cuh

llama : add Command R Plus support (llama/6491)

2024-04-09 20:26:18 +03:00

diagmask.cu

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diagmask.cuh

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dmmv.cu

llama : add Command R Plus support (llama/6491)

2024-04-09 20:26:18 +03:00

dmmv.cuh

sync : llama.cpp (skip)

2024-04-07 16:15:57 +03:00

fattn-common.cuh

CUDA: deduplicate FlashAttention code (llama/7352)

2024-06-16 18:19:48 +03:00

fattn-tile-f16.cu

CUDA: deduplicate FlashAttention code (llama/7352)

2024-06-16 18:19:48 +03:00

fattn-tile-f16.cuh

CUDA: faster large batch FA without tensor cores (llama/7314)

2024-06-16 18:19:48 +03:00

fattn-tile-f32.cu

CUDA: deduplicate FlashAttention code (llama/7352)

2024-06-16 18:19:48 +03:00

fattn-tile-f32.cuh

CUDA: faster large batch FA without tensor cores (llama/7314)

2024-06-16 18:19:48 +03:00

fattn-vec-f16.cu

CUDA: add FP32 FlashAttention vector kernel (llama/7188)

2024-05-14 19:16:29 +03:00

fattn-vec-f16.cuh

CUDA: add FP32 FlashAttention vector kernel (llama/7188)

2024-05-14 19:16:29 +03:00

fattn-vec-f32.cu

CUDA: add FP32 FlashAttention vector kernel (llama/7188)

2024-05-14 19:16:29 +03:00

fattn-vec-f32.cuh

CUDA: add FP32 FlashAttention vector kernel (llama/7188)

2024-05-14 19:16:29 +03:00

fattn.cu

CUDA: deduplicate FlashAttention code (llama/7352)

2024-06-16 18:19:48 +03:00

fattn.cuh

ggml : add Flash Attention (llama/5021)

2024-05-13 11:02:26 +03:00

getrows.cu

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getrows.cuh

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im2col.cu

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im2col.cuh

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mmq.cu

Introduction of CUDA Graphs to LLama.cpp (llama/6766)

2024-05-13 11:02:26 +03:00

mmq.cuh

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mmvq.cu

cuda : fix bounds check for src0 rows in MMVQ kernel (#2231)

2024-06-11 17:39:01 +03:00

mmvq.cuh

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norm.cu

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norm.cuh

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pad.cu

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pad.cuh

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pool2d.cu

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pool2d.cuh

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quantize.cu

llama : add Command R Plus support (llama/6491)

2024-04-09 20:26:18 +03:00

quantize.cuh

llama : add Command R Plus support (llama/6491)

2024-04-09 20:26:18 +03:00

rope.cu

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rope.cuh

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scale.cu

Introduction of CUDA Graphs to LLama.cpp (llama/6766)

2024-05-13 11:02:26 +03:00

scale.cuh

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softmax.cu

CUDA: deduplicate FlashAttention code (llama/7352)

2024-06-16 18:19:48 +03:00

softmax.cuh

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sumrows.cu

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sumrows.cuh

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tsembd.cu

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tsembd.cuh

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unary.cu

feat: implemented sigmoid function (ggml/806)

2024-05-13 11:02:26 +03:00

unary.cuh

feat: implemented sigmoid function (ggml/806)

2024-05-13 11:02:26 +03:00

upscale.cu

ggml : add ggml_upscale_ext (ggml/814)

2024-06-16 18:19:48 +03:00

upscale.cuh

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vecdotq.cuh

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