Provides a Python 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
Download the latest package from: http://pypi.python.org/pypi/nvidia-ml-py/
Note this file can be run with 'python -m doctest -v README.txt' although the results are system dependent
Python 2.5, or an earlier version with the ctypes module.
sudo python setup.py install
>>> from pynvml import * >>> nvmlInit() >>> print "Driver Version:", nvmlSystemGetDriverVersion() Driver Version: 304.00 >>> deviceCount = nvmlDeviceGetCount() >>> for i in range(deviceCount): ... handle = nvmlDeviceGetHandleByIndex(i) ... print "Device", i, ":", nvmlDeviceGetName(handle) ... Device 0 : Tesla C2070>>> nvmlShutdown()
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.
>>> try: ... nvmlDeviceGetCount() ... except NVMLError as error: ... print error ... Uninitialized
C function output parameters are returned from the corresponding Python function left to right.
nvmlReturn_t nvmlDeviceGetEccMode(nvmlDevice_t device, nvmlEnableState_t *current, nvmlEnableState_t *pending); >>> nvmlInit() >>> handle = nvmlDeviceGetHandleByIndex(0) >>> (current, pending) = nvmlDeviceGetEccMode(handle)
nvmlReturn_t DECLDIR nvmlDeviceGetMemoryInfo(nvmlDevice_t device, nvmlMemory_t *memory); typedef struct nvmlMemory_st { unsigned long long total; unsigned long long free; unsigned long long used; } nvmlMemory_t; >>> info = nvmlDeviceGetMemoryInfo(handle) >>> print "Total memory:", info.total Total memory: 5636292608 >>> print "Free memory:", info.free Free memory: 5578420224 >>> print "Used memory:", info.used Used memory: 57872384
nvmlReturn_t nvmlSystemGetDriverVersion(char* version, unsigned int length); >>> version = nvmlSystemGetDriverVersion(); >>> nvmlShutdown()
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.
Version 2.285.0 - Added new functions for NVML 2.285. See NVML documentation for more information. - Ported to support Python 3.0 and Python 2.0 syntax. - Added nvidia_smi.py tool as a sample app. Version 3.295.0 - Added new functions for NVML 3.295. See NVML documentation for more information. - Updated nvidia_smi.py tool -- Includes additional error handling Version 4.304.0 - Added new functions for NVML 4.304. See NVML documentation for more information. - Updated nvidia_smi.py tool
Copyright (c) 2011-2012, NVIDIA Corporation. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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