cuda.bindings.nvml.ObservedMetrics#
- class cuda.bindings.nvml.ObservedMetrics(size=1)#
Empty-initialize an array of nvmlObservedMetrics_t. The resulting object is of length size and of dtype observed_metrics_dtype. If default-constructed, the instance represents a single struct.
- Parameters:
size (int) – number of structs, default=1.
See also
nvmlObservedMetrics_t
- __init__(*args, **kwargs)#
Methods
__init__(*args, **kwargs)from_buffer(buffer)Create an ObservedMetrics instance with the memory from the given buffer.
from_data(data)Create an ObservedMetrics instance wrapping the given NumPy array.
from_ptr(intptr_t ptr, size_t size=1, ...[, ...])Create an ObservedMetrics instance wrapping the given pointer.
Attributes
b_validnon-zero if observed metrics are valid.
core_railObserved core rail metrics.
fb_railObserved fb rail metrics.
initial_dramclk_est(array of length 3).Initial DRAMCLK estimates for different scenarios.
perf_metricsObserved performance metrics.
ptrGet the pointer address to the data as Python
int.tgp_pwr_tupleObserved Total Graphics Power (TGP) in milliwatts.