[Misc] Use vllm-flash-attn instead of flash-attn (#4686)

Dockerfile

@@ -87,23 +87,6 @@ RUN --mount=type=cache,target=/root/.cache/pip \
     pip cache remove vllm_nccl*
 #################### EXTENSION Build IMAGE ####################
 
-#################### FLASH_ATTENTION Build IMAGE ####################
-FROM dev as flash-attn-builder
-# max jobs used for build
-ARG max_jobs=2
-ENV MAX_JOBS=${max_jobs}
-# flash attention version
-ARG flash_attn_version=v2.5.8
-ENV FLASH_ATTN_VERSION=${flash_attn_version}
-
-WORKDIR /usr/src/flash-attention-v2
-
-# Download the wheel or build it if a pre-compiled release doesn't exist
-RUN pip --verbose wheel flash-attn==${FLASH_ATTN_VERSION} \
-    --no-build-isolation --no-deps --no-cache-dir
-
-#################### FLASH_ATTENTION Build IMAGE ####################
-
 #################### vLLM installation IMAGE ####################
 # image with vLLM installed
 FROM nvidia/cuda:12.4.1-base-ubuntu22.04 AS vllm-base
@@ -122,10 +105,6 @@ RUN ldconfig /usr/local/cuda-12.4/compat/
 RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist \
     --mount=type=cache,target=/root/.cache/pip \
     pip install dist/*.whl --verbose
-
-RUN --mount=type=bind,from=flash-attn-builder,src=/usr/src/flash-attention-v2,target=/usr/src/flash-attention-v2 \
-    --mount=type=cache,target=/root/.cache/pip \
-    pip install /usr/src/flash-attention-v2/*.whl --no-cache-dir
 #################### vLLM installation IMAGE ####################
 
 

requirements-cuda.txt

@@ -7,3 +7,4 @@ nvidia-ml-py # for pynvml package
 vllm-nccl-cu12>=2.18,<2.19  # for downloading nccl library
 torch == 2.3.0
 xformers == 0.0.26.post1  # Requires PyTorch 2.3.0
+vllm-flash-attn == 2.5.8.post1  # Requires PyTorch 2.3.0

setup.py

@@ -355,13 +355,17 @@ def get_requirements() -> List[str]:
 
     if _is_cuda():
         requirements = _read_requirements("requirements-cuda.txt")
-        cuda_major = torch.version.cuda.split(".")[0]
+        cuda_major, cuda_minor = torch.version.cuda.split(".")
         modified_requirements = []
         for req in requirements:
             if "vllm-nccl-cu12" in req:
-                modified_requirements.append(
+                req = req.replace("vllm-nccl-cu12",
-                    req.replace("vllm-nccl-cu12", f"vllm-nccl-cu{cuda_major}"))
+                                  f"vllm-nccl-cu{cuda_major}")
-            else:
+            elif ("vllm-flash-attn" in req
+                  and not (cuda_major == "12" and cuda_minor == "1")):
+                # vllm-flash-attn is built only for CUDA 12.1.
+                # Skip for other versions.
+                continue
             modified_requirements.append(req)
         requirements = modified_requirements
     elif _is_hip():

vllm/attention/backends/flash_attn.py

@@ -8,7 +8,7 @@ from dataclasses import dataclass
 from typing import List, Optional, Tuple, Type
 
 import torch
-from flash_attn import flash_attn_varlen_func
+from vllm_flash_attn import flash_attn_varlen_func
 
 from vllm.attention.backends.abstract import (AttentionBackend, AttentionImpl,
                                               AttentionMetadata,

vllm/attention/backends/flashinfer.py

@@ -3,8 +3,8 @@ from typing import Any, Dict, List, Optional, Set, Tuple, Type
 
 import flashinfer
 import torch
-from flash_attn import flash_attn_varlen_func
 from flashinfer import BatchDecodeWithPagedKVCacheWrapper
+from vllm_flash_attn import flash_attn_varlen_func
 
 from vllm import _custom_ops as ops
 from vllm.attention.backends.abstract import (AttentionBackend, AttentionImpl,

vllm/attention/selector.py

@@ -76,11 +76,12 @@ def _which_attn_to_use(dtype: torch.dtype) -> _Backend:
         return _Backend.XFORMERS
 
     try:
-        import flash_attn  # noqa: F401
+        import vllm_flash_attn  # noqa: F401
     except ImportError:
         logger.info(
-            "Cannot use FlashAttention-2 backend because the flash_attn "
+            "Cannot use FlashAttention-2 backend because the vllm_flash_attn "
-            "package is not found. Please install it for better performance.")
+            "package is not found. `pip install vllm-flash-attn` for better "
+            "performance.")
         return _Backend.XFORMERS
 
     backend_by_env_var = envs.VLLM_ATTENTION_BACKEND