:py:mod:`python.odpy.gpuinfo` ============================= .. py:module:: python.odpy.gpuinfo .. autoapi-nested-parse:: Copyright (C) dGB Beheer B.V.; (LICENSE) http://opendtect.org/OpendTect_license.txt * AUTHOR : A. Huck * DATE : Nov 2018 Module Summary ############### Tools for gpu and cuda operations Module Contents --------------- Functions ~~~~~~~~~ .. autoapisummary:: python.odpy.gpuinfo.is_cuda_available python.odpy.gpuinfo.detect_gpus python.odpy.gpuinfo.nr_gpus python.odpy.gpuinfo.compute_capability python.odpy.gpuinfo.id python.odpy.gpuinfo.name python.odpy.gpuinfo.get_memory_info .. py:function:: is_cuda_available() Checks if cuda device is available Returns: * bool: True if cuda is available, False if otherwise .. py:function:: detect_gpus(printfn=print) Displays cuda devices available Notes: Information on device type, id, compute type and capacity are displayed >>> import odpy.gpuinfo as gpuinfo >>> gpuinfo.detect_gpus() Found 1 CUDA devices id 0 b'NVIDIA GeForce MX250' [SUPPORTED] compute capability: 6.1 pci device id: 0 pci bus id: 2 .. py:function:: nr_gpus() Counts number of gpu devices Returns: int: number of gpu devices available for computations .. py:function:: compute_capability(devnum=0) Compute capacity of cuda device Parameters: * devnum (int): cuda device id, defaults to 0 Returns: * tuple: compute capacity level of cuda device >>> import odpy.gpuinfo as gpuinfo >>> gpuinfo.compute_capability(0) (6, 1) .. py:function:: id(devnum=0) Gets cuda device id Parameters: * devnum (int): cuda device number, defaults to 0 Returns: * int: cuda device id .. py:function:: name(devnum=0) Gets cuda device name Parameters: * devnum (int): cuda device number, defaults to 0 Returns: * str: cuda device name .. py:function:: get_memory_info(devnum=None) Gets memory info of cuda device Parameters: * devnum (int): cuda device number, defaults to None Returns: * obj: Memory info Example >>> import odpy.gpuinfo as gpuinfo >>> gpuinfo.get_memory_info() MemoryInfo(free=1742539571, total=2147483648)