Python bindings to the NVIDIA Management Library
Provides a pythonic, object oriented interface to GPU management and monitoring functions.
This is a wrapper around the NVML library. For information about the NVML library, see the NVML developer page http://developer.nvidia.com/nvidia-management-library-nvml
pip3 install .
from pynvml3.pynvml import NVMLLib
from pynvml3.enums import SamplingType
with NVMLLib() as lib:
print("Driver Version:", lib.system.get_driver_version())
for device in lib.device:
print(device.get_name(), f"{device.get_power_usage()} mW")
power_samples = device.try_get_samples(SamplingType.TOTAL_POWER_SAMPLES, 0)
Additionally, see nvidia_smi.py. A sample application.
Python methods wrap NVML functions, implemented in a C shared library. Each function's use is the same with the following exceptions:
- Instead of returning error codes, failing error codes are raised as Python exceptions.
- C function output parameters are returned from the corresponding Python function left to right.
- C structs are converted into Python classes.
- Python handles string buffer creation.
For usage information see the NVML documentation.
All meaningful NVML constants and enums are exposed in Python.
The NVML_VALUE_NOT_AVAILABLE constant is not used. Instead None is mapped to the field.
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