cuda.bindings.nvml.PwrModelMetricsPfpp1x#

class cuda.bindings.nvml.PwrModelMetricsPfpp1x(size=1)#

Empty-initialize an array of nvmlPwrModelMetricsPfpp1x_t. The resulting object is of length size and of dtype pwr_model_metrics_pfpp1x_dtype. If default-constructed, the instance represents a single struct.

Parameters:

size (int) – number of structs, default=1.

See also

nvmlPwrModelMetricsPfpp1x_t

__init__(*args, **kwargs)#

Methods

__init__(*args, **kwargs)

from_buffer(buffer)

Create an PwrModelMetricsPfpp1x instance with the memory from the given buffer.

from_data(data)

Create an PwrModelMetricsPfpp1x instance wrapping the given NumPy array.

from_ptr(intptr_t ptr, size_t size=1, ...[, ...])

Create an PwrModelMetricsPfpp1x instance wrapping the given pointer.

Attributes

b_valid

non-zero if metrics are valid.

estimated_metrics

Array of estimated metrics for different operating points.

fmax_at_vmax_point

Operating point at maximum frequency and voltage.

max_perf_per_watt_point

Operating point with maximum performance per watt.

ptr

Get the pointer address to the data as Python int.

tgp_headroomm_w

TGP headroom in milliwatts.