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2ff767b513
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Enable scaled FP8 (e4m3fn) KV cache on ROCm (AMD GPU) (#3290)
Co-authored-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>
Co-authored-by: HaiShaw <hixiao@gmail.com>
Co-authored-by: AdrianAbeyta <Adrian.Abeyta@amd.com>
Co-authored-by: Matthew Wong <Matthew.Wong2@amd.com>
Co-authored-by: root <root@gt-pla-u18-08.pla.dcgpu>
Co-authored-by: mawong-amd <156021403+mawong-amd@users.noreply.github.com>
Co-authored-by: ttbachyinsda <ttbachyinsda@outlook.com>
Co-authored-by: guofangze <guofangze@kuaishou.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>
Co-authored-by: jacobthebanana <50071502+jacobthebanana@users.noreply.github.com>
Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
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2024-04-03 14:15:55 -07:00 |
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d6e4a130b0
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[Minor] Remove gather_cached_kv kernel (#3043)
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2024-02-26 15:00:54 -08:00 |
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923797fea4
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Fix compile error when using rocm (#2648)
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2024-02-01 09:35:09 -08:00 |
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9090bf02e7
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Support FP8-E5M2 KV Cache (#2279)
Co-authored-by: zhaoyang <zhao.yang16@zte.com.cn>
Co-authored-by: Zhuohan Li <zhuohan123@gmail.com>
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2024-01-28 16:43:54 -08:00 |
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5265631d15
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use a correct device when creating OptionalCUDAGuard (#2583)
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2024-01-25 23:48:17 -08:00 |
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77af974b40
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[FIX] Support non-zero CUDA devices in custom kernels (#1959)
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2024-01-02 19:09:59 -08:00 |
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6ccc0bfffb
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Merge EmbeddedLLM/vllm-rocm into vLLM main (#1836)
Co-authored-by: Philipp Moritz <pcmoritz@gmail.com>
Co-authored-by: Amir Balwel <amoooori04@gmail.com>
Co-authored-by: root <kuanfu.liu@akirakan.com>
Co-authored-by: tjtanaa <tunjian.tan@embeddedllm.com>
Co-authored-by: kuanfu <kuanfu.liu@embeddedllm.com>
Co-authored-by: miloice <17350011+kliuae@users.noreply.github.com>
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2023-12-07 23:16:52 -08:00 |
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0ce8647dc5
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Fix integer overflows in attention & cache ops (#1514)
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2023-10-31 15:19:30 -07:00 |
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c1376e0f82
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Change scheduler & input tensor shape (#1381)
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2023-10-16 17:48:42 -07:00 |
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8ce9c50d40
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Avoid compiling kernels for double data type (#933)
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2023-09-02 14:59:47 +09:00 |
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0b98ba15c7
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Change the name to vLLM (#150)
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2023-06-17 03:07:40 -07:00 |
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e070829ae8
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Support bfloat16 data type (#54)
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2023-05-03 14:09:44 -07:00 |
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e3cec88aa5
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Memcpy kernel for flash attention (#29)
* optimize
* add benchmark
* add assert
* add test
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2023-04-10 18:22:49 -07:00 |
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0f40557af6
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Implement block copy kernel to optimize beam search (#32)
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2023-04-07 17:45:07 -07:00 |
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897cb2ae28
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Optimize data movement (#20)
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2023-04-02 00:30:17 -07:00 |
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88c0268a18
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Implement custom kernel for LLaMA rotary embedding (#14)
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2023-03-30 11:04:21 -07:00 |
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cfae35b861
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Add miscellaneous updates (#8)
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2023-03-13 13:48:38 -07:00 |
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1a7eb7da61
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Support beam search & parallel generation (#7)
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2023-03-10 09:58:21 -08:00 |
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0deacbce6e
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Implement single_query_cached_kv_attention kernel (#3)
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2023-03-01 15:02:19 -08:00 |
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c413c41cda
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Add reshape_and_cache op
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2023-02-18 19:22:57 +00:00 |
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ffad4e1e03
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cache_kernel -> cache_kernels
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2023-02-16 20:05:45 +00:00 |
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