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vllm-project--vllm/vllm/v1/worker/cpu/shm.py
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chore: import upstream snapshot with attribution
2026-07-13 12:55:37 +08:00

83 lines
2.1 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# isort: skip_file
# ruff: noqa: E402
# mypy: disable-error-code="misc, assignment"
from typing import Any
import numpy as np
# Patch torch APIs
import torch
def noop(*args: Any, **kwargs: Any) -> None:
pass
def fake_pin_memory(self: torch.Tensor, *args: Any, **kwargs: Any) -> torch.Tensor:
return self
class _EventPlaceholder:
def __init__(self, *args, **kwargs) -> None:
self.record = noop
self.synchronize = noop
class _StreamPlaceholder:
def __init__(self, *args, **kwargs) -> None:
self.wait_stream = noop
self.device = torch.device("cpu")
def __enter__(self, *args, **kwargs):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
pass
from vllm.utils.cpu_resource_utils import get_memory_node_info
def get_memory_info(*args: Any, **kwargs: Any) -> tuple[int, int]:
meminfo = get_memory_node_info()
return meminfo.available_memory, meminfo.total_memory
torch.Event = _EventPlaceholder
torch.cuda.Event = _EventPlaceholder
torch.cuda.Stream = _StreamPlaceholder
torch.cuda.set_stream = noop
torch.cuda.current_stream = lambda *args, **kwargs: _StreamPlaceholder()
torch.accelerator.synchronize = noop
torch.accelerator.empty_cache = noop
torch.Tensor.pin_memory = fake_pin_memory
torch.accelerator.get_memory_info = get_memory_info
# Patch vLLM torch utils
import vllm.utils.torch_utils as torch_utils
def async_tensor_h2d(
data: list | np.ndarray | torch.Tensor,
device: str | torch.device,
dtype: torch.dtype | None = None,
) -> torch.Tensor:
if isinstance(data, np.ndarray):
data = torch.from_numpy(data)
if isinstance(data, torch.Tensor):
return data.to(dtype=dtype)
return torch.tensor(data, dtype=dtype, device="cpu")
torch_utils.async_tensor_h2d = async_tensor_h2d
# Patch model runner APIs
import vllm.v1.worker.gpu.buffer_utils as gpu_buffer_utils
import vllm.v1.worker.cpu.buffer_utils as cpu_buffer_utils
gpu_buffer_utils.UvaBuffer = cpu_buffer_utils.UvaBuffer