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- """Utils."""
- import enum
- from platform import uname
- import uuid
- import psutil
- import torch
- from aphrodite import cuda_utils
- class Device(enum.Enum):
- GPU = enum.auto()
- CPU = enum.auto()
- class Counter:
- def __init__(self, start: int = 0) -> None:
- self.counter = start
- def __next__(self) -> int:
- i = self.counter
- self.counter += 1
- return i
- def reset(self) -> None:
- self.counter = 0
- def get_max_shared_memory_bytes(gpu: int = 0) -> int:
- """Returns the maximum shared memory per thread block in bytes."""
- # https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html
- cudaDevAttrMaxSharedMemoryPerBlockOptin = 97 # pylint: disable=invalid-name
- max_shared_mem = cuda_utils.get_device_attribute(
- cudaDevAttrMaxSharedMemoryPerBlockOptin, gpu)
- return int(max_shared_mem)
- def get_gpu_memory(gpu: int = 0) -> int:
- """Returns the total memory of the GPU in bytes."""
- return torch.cuda.get_device_properties(gpu).total_memory
- def get_cpu_memory() -> int:
- """Returns the total CPU memory of the node in bytes."""
- return psutil.virtual_memory().total
- def random_uuid() -> str:
- return str(uuid.uuid4().hex)
- def in_wsl() -> bool:
- # Reference: https://github.com/microsoft/WSL/issues/4071
- return "microsoft" in " ".join(uname()).lower()
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