[Hardware][openvino] is_openvino --> current_platform.is_openvino (#9716)
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@@ -65,6 +65,13 @@ try:
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except ImportError:
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pass
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is_openvino = False
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try:
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from importlib.metadata import version
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is_openvino = "openvino" in version("vllm")
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except Exception:
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pass
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if is_tpu:
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# people might install pytorch built with cuda but run on tpu
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# so we need to check tpu first
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@@ -85,6 +92,9 @@ elif is_cpu:
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elif is_neuron:
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from .neuron import NeuronPlatform
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current_platform = NeuronPlatform()
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elif is_openvino:
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from .openvino import OpenVinoPlatform
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current_platform = OpenVinoPlatform()
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else:
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current_platform = UnspecifiedPlatform()
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@@ -11,6 +11,7 @@ class PlatformEnum(enum.Enum):
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XPU = enum.auto()
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CPU = enum.auto()
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NEURON = enum.auto()
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OPENVINO = enum.auto()
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UNSPECIFIED = enum.auto()
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@@ -52,6 +53,9 @@ class Platform:
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def is_neuron(self) -> bool:
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return self._enum == PlatformEnum.NEURON
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def is_openvino(self) -> bool:
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return self._enum == PlatformEnum.OPENVINO
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def is_cuda_alike(self) -> bool:
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"""Stateless version of :func:`torch.cuda.is_available`."""
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return self._enum in (PlatformEnum.CUDA, PlatformEnum.ROCM)
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31
vllm/platforms/openvino.py
Normal file
31
vllm/platforms/openvino.py
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@@ -0,0 +1,31 @@
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import torch
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import vllm.envs as envs
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from vllm.utils import print_warning_once
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from .interface import Platform, PlatformEnum
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class OpenVinoPlatform(Platform):
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_enum = PlatformEnum.OPENVINO
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@classmethod
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def get_device_name(self, device_id: int = 0) -> str:
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return "openvino"
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@classmethod
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def inference_mode(self):
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return torch.inference_mode(mode=True)
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@classmethod
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def is_openvino_cpu(self) -> bool:
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return "CPU" in envs.VLLM_OPENVINO_DEVICE
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@classmethod
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def is_openvino_gpu(self) -> bool:
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return "GPU" in envs.VLLM_OPENVINO_DEVICE
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@classmethod
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def is_pin_memory_available(self) -> bool:
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print_warning_once("Pin memory is not supported on OpenViNO.")
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return False
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