[Diffusion] Improve HuggingFace hub kernel loading in flash_attn_hub (#4977)
Signed-off-by: samithuang <285365963@qq.com>
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3a64da194c
commit
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1 file changed
+30
-30
@@ -1,6 +1,7 @@
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import threading
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from functools import partial
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import torch
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@@ -18,6 +19,33 @@ from vllm_omni.diffusion.attention.backends.utils.piecewise_attn import (
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logger = init_logger(__name__)
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_hub_modules: dict[str, object] = {}
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_hub_lock = threading.Lock()
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def _load_hub_module(repo_id: str):
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from kernels import get_kernel
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logger.info("Loading %s kernel from HuggingFace Hub...", repo_id)
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last_error = None
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for version in (1, 2, None):
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try:
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if version is not None:
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return get_kernel(repo_id, version=version)
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return get_kernel(repo_id)
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except Exception as exc:
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logger.info("Failed to load %s version %s: %s", repo_id, version, exc)
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last_error = exc
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raise RuntimeError(f"Failed to load HuggingFace Hub kernel {repo_id!r}") from last_error
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def _get_hub_module(repo_id: str):
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with _hub_lock:
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if repo_id not in _hub_modules:
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_hub_modules[repo_id] = _load_hub_module(repo_id)
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return _hub_modules[repo_id]
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def _run_varlen_dense(
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varlen_func,
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query: torch.Tensor,
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@@ -88,23 +116,9 @@ class FlashAttentionHubImpl(AttentionImpl):
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if backend_kwargs:
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logger.warning("FlashAttentionHubImpl ignoring backend_kwargs: %s", list(backend_kwargs.keys()))
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# Lazily get the kernel from the Hub to avoid network/disk overhead on import
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from kernels import get_kernel
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logger.info("Loading flash-attn2 kernel from HuggingFace Hub...")
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try:
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hub_module = get_kernel("kernels-community/flash-attn2", version=1)
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except Exception as e:
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try:
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logger.info("Failed to load version 1, attempting version 2: %s", e)
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hub_module = get_kernel("kernels-community/flash-attn2", version=2)
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except Exception as e2:
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logger.info("Failed to load version 2, attempting default: %s", e2)
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hub_module = get_kernel("kernels-community/flash-attn2")
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hub_module = _get_hub_module("kernels-community/flash-attn2")
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self.flash_attn_func = getattr(hub_module, "flash_attn_func", None)
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self.flash_attn_varlen_func = getattr(hub_module, "flash_attn_varlen_func", None)
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if self.flash_attn_func is None and self.flash_attn_varlen_func is None:
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raise RuntimeError("Failed to load flash-attn2 kernel from HuggingFace Hub: no functions found")
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@@ -267,23 +281,9 @@ class FlashAttention3HubImpl(AttentionImpl):
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if backend_kwargs:
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logger.warning("FlashAttention3HubImpl ignoring backend_kwargs: %s", list(backend_kwargs.keys()))
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# Lazily get the kernel from the Hub to avoid network/disk overhead on import
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from kernels import get_kernel
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logger.info("Loading flash-attn3 kernel from HuggingFace Hub...")
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try:
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hub_module = get_kernel("kernels-community/flash-attn3", version=1)
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except Exception as e:
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try:
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logger.info("Failed to load version 1, attempting version 2: %s", e)
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hub_module = get_kernel("kernels-community/flash-attn3", version=2)
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except Exception as e2:
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logger.info("Failed to load version 2, attempting default: %s", e2)
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hub_module = get_kernel("kernels-community/flash-attn3")
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hub_module = _get_hub_module("kernels-community/flash-attn3")
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self.flash_attn_func = getattr(hub_module, "flash_attn_func", None)
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self.flash_attn_varlen_func = getattr(hub_module, "flash_attn_varlen_func", None)
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if self.flash_attn_func is None and self.flash_attn_varlen_func is None:
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raise RuntimeError("Failed to load flash-attn3 kernel from HuggingFace Hub: no functions found")
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