cuda.bindings.nvml.VgpuSchedulerCapabilities#
- class cuda.bindings.nvml.VgpuSchedulerCapabilities#
Empty-initialize an instance of nvmlVgpuSchedulerCapabilities_t.
See also
nvmlVgpuSchedulerCapabilities_t
- __init__(*args, **kwargs)#
Methods
__init__(*args, **kwargs)from_buffer(buffer)Create an VgpuSchedulerCapabilities instance with the memory from the given buffer.
from_data(data)Create an VgpuSchedulerCapabilities instance wrapping the given NumPy array.
from_ptr(intptr_t ptr, bool readonly=False)Create an VgpuSchedulerCapabilities instance wrapping the given pointer.
Attributes
is_arr_mode_supportedint:
max_avg_factor_for_arrint:
max_frequency_for_arrint:
max_timesliceint:
min_avg_factor_for_arrint:
min_frequency_for_arrint:
min_timesliceint:
ptrGet the pointer address to the data as Python
int.supported_schedulers(array of length 3).