text-generation-inference/server/text_generation_server/layers/attention
OlivierDehaene 85f10ec5c9 feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)
* feat(fp8): add support for fbgemm

* allow loading fp8 weights directly

* update outlines

* fix makefile

* build fbgemm

* avoid circular import and fix dockerfile

* add default dtype

* refactored weights loader

* fix auto conversion

* fix quantization config parsing

* force new nccl on install

* missing get_weights implementation

* increase timeout
2024-09-25 05:30:41 +00:00
..
__init__.py Move to FlashDecoding instead of PagedAttention kernel. (#1940) 2024-09-24 03:58:13 +00:00
common.py Move to FlashDecoding instead of PagedAttention kernel. (#1940) 2024-09-24 03:58:13 +00:00
cuda.py Move to FlashDecoding instead of PagedAttention kernel. (#1940) 2024-09-24 03:58:13 +00:00
flash_attn_triton.py Purely refactors paged/attention into layers/attention and make hardware differences more obvious with 1 file per hardware. (#1986) 2024-09-24 03:19:39 +00:00
ipex.py fix FlashDecoding change's regression in intel platform (#2161) 2024-09-24 03:58:13 +00:00
rocm.py feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248) 2024-09-25 05:30:41 +00:00