35d44b4557
Signed-off-by: Xinyu Chen <xinyu1.chen@intel.com> Co-authored-by: chzhang <chaojun.zhang@intel.com> Co-authored-by: zhenwei-intel <zhenwei.liu@intel.com> Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from contextlib import contextmanager
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from typing import TYPE_CHECKING
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import torch
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from vllm.config import VllmConfig
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from vllm.logger import init_logger
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from vllm.utils.torch_utils import supports_xpu_graph
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from vllm.v1.worker.gpu_model_runner import GPUModelRunner
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if TYPE_CHECKING:
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pass
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logger = init_logger(__name__)
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class XPUModelRunner(GPUModelRunner):
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"""A model runner for XPU devices."""
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def __init__(
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self,
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vllm_config: VllmConfig,
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device: torch.device,
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):
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with _torch_cuda_wrapper():
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super().__init__(vllm_config, device)
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# FIXME: To be verified.
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self.cascade_attn_enabled = False
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def _sync_device(self) -> None:
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torch.xpu.synchronize()
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@contextmanager
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def _torch_cuda_wrapper():
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try:
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# replace cuda APIs with xpu APIs, this should work by default
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torch.cuda.Stream = torch.xpu.Stream
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torch.cuda.default_stream = torch.xpu.current_stream
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torch.cuda.current_stream = torch.xpu.current_stream
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torch.cuda.stream = torch.xpu.stream
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torch.cuda.mem_get_info = torch.xpu.mem_get_info
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torch.cuda.synchronize = torch.xpu.synchronize
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if supports_xpu_graph():
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torch.cuda.graph = torch.xpu.graph
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torch.cuda.CUDAGraph = torch.xpu.XPUGraph
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torch.cuda.empty_cache = torch.xpu.empty_cache
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yield
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finally:
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pass
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