cuda.bindings.nvml.VgpuSchedulerLogEntry#
- class cuda.bindings.nvml.VgpuSchedulerLogEntry(size=1)#
Empty-initialize an array of nvmlVgpuSchedulerLogEntry_t.
The resulting object is of length size and of dtype vgpu_scheduler_log_entry_dtype. If default-constructed, the instance represents a single struct.
- Parameters:
size (int) – number of structs, default=1.
See also
nvmlVgpuSchedulerLogEntry_t
- __init__(*args, **kwargs)#
Methods
__init__(*args, **kwargs)from_buffer(buffer)Create an VgpuSchedulerLogEntry instance with the memory from the given buffer.
from_data(data)Create an VgpuSchedulerLogEntry instance wrapping the given NumPy array.
from_ptr(intptr_t ptr, size_t size=1, ...)Create an VgpuSchedulerLogEntry instance wrapping the given pointer.
Attributes
cumulative_preemption_timeUnion[~_numpy.uint64, int]:
ptrGet the pointer address to the data as Python
int.sw_runlist_idUnion[~_numpy.uint32, int]:
target_time_sliceUnion[~_numpy.uint64, int]:
time_runUnion[~_numpy.uint64, int]:
time_run_totalUnion[~_numpy.uint64, int]:
timestampUnion[~_numpy.uint64, int]: