cuda.bindings.nvml.PwrModelMetricsDlppm1xDramclkEstimates#

class cuda.bindings.nvml.PwrModelMetricsDlppm1xDramclkEstimates(size=1)#

Empty-initialize an array of nvmlPwrModelMetricsDlppm1xDramclkEstimates_t. The resulting object is of length size and of dtype pwr_model_metrics_dlppm1x_dramclk_estimates_dtype. If default-constructed, the instance represents a single struct.

Parameters:

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

See also

nvmlPwrModelMetricsDlppm1xDramclkEstimates_t

__init__(*args, **kwargs)#

Methods

__init__(*args, **kwargs)

from_buffer(buffer)

Create an PwrModelMetricsDlppm1xDramclkEstimates instance with the memory from the given buffer.

from_data(data)

Create an PwrModelMetricsDlppm1xDramclkEstimates instance wrapping the given NumPy array.

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

Create an PwrModelMetricsDlppm1xDramclkEstimates instance wrapping the given pointer.

Attributes

estimated_metrics

Array of estimated metrics for each inference loop.

ptr

Get the pointer address to the data as Python int.