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unilab.training.cuda_mps_cli.HostStatus¶

class unilab.training.cuda_mps_cli.HostStatus[source]¶

Bases: object

Read-only host, control-pipe, and managed-daemon status.

Parameters:

platform (str)
nvidia_smi_available (bool)
cuda_visible_devices (str | None)
gpus (tuple[GpuIdentity, ...])
control_pipes (tuple[ControlPipeStatus, ...])
managed_daemons (tuple[DaemonRecord, ...])
diagnostic (str | None)
compatible_topology_modes (tuple[str, ...])

Methods

`__init__`(platform, nvidia_smi_available, ...)
`to_dict`()

Attributes

`compatible_topology_modes`
`diagnostic`
`platform`
`nvidia_smi_available`
`cuda_visible_devices`
`gpus`
`control_pipes`
`managed_daemons`

platform: str¶

nvidia_smi_available: bool¶

cuda_visible_devices: str | None¶

gpus: tuple[GpuIdentity, ...]¶

control_pipes: tuple[ControlPipeStatus, ...]¶

managed_daemons: tuple[DaemonRecord, ...]¶

diagnostic: str | None = None¶

compatible_topology_modes: tuple[str, ...] = ('single_gpu', 'single_task_multi_gpu', 'task_per_gpu')¶

to_dict()[source]¶

Return type:: dict[str, Any]

__init__(platform, nvidia_smi_available, cuda_visible_devices, gpus, control_pipes, managed_daemons, diagnostic=None, compatible_topology_modes=('single_gpu', 'single_task_multi_gpu', 'task_per_gpu'))¶

Parameters:

platform (str)
nvidia_smi_available (bool)
cuda_visible_devices (str | None)
gpus (tuple[GpuIdentity, ...])
control_pipes (tuple[ControlPipeStatus, ...])
managed_daemons (tuple[DaemonRecord, ...])
diagnostic (str | None)
compatible_topology_modes (tuple[str, ...])