Best Python code snippet using lisa_python
gpu.py
Source:gpu.py
...74 # default to install by platform, unless it's specified to skip.75 if (settings.is_enabled) and settings.install_by_platform:76 cls._install_by_platform(*args, **kwargs)77 @classmethod78 def remove_virtual_gpus(cls, devices: List[PciDevice]) -> List[PciDevice]:79 return [x for x in devices if x.vendor != "Microsoft Corporation"]80 def enabled(self) -> bool:81 return True82 def is_supported(self) -> bool:83 raise NotImplementedError84 def is_module_loaded(self) -> bool:85 lsmod_tool = self._node.tools[Lsmod]86 if (len(self.gpu_vendor) > 0) and all(87 lsmod_tool.module_exists(vendor) for vendor in self.gpu_vendor88 ):89 return True90 return False91 def install_compute_sdk(self, version: str = "") -> None:92 # install GPU dependencies before installing driver93 self._install_gpu_dep()94 try:95 # install LIS driver if required and not already installed.96 self._node.tools[LisDriver]97 except Exception as identifier:98 self._log.debug(99 f"LisDriver is not installed. It might not be required. {identifier}"100 )101 # install the driver102 supported_driver = self.get_supported_driver()103 for driver in supported_driver:104 if driver == ComputeSDK.GRID:105 if not version:106 version = DEFAULT_GRID_DRIVER_URL107 self._install_grid_driver(version)108 self.gpu_vendor.add("nvidia")109 elif driver == ComputeSDK.CUDA:110 if not version:111 version = DEFAULT_CUDA_DRIVER_VERSION112 self._install_cuda_driver(version)113 self.gpu_vendor.add("nvidia")114 else:115 raise LisaException(f"{driver} is not a valid value of ComputeSDK")116 if not self.gpu_vendor:117 raise LisaException("No supported gpu driver/vendor found for this node.")118 def get_gpu_count_with_lsvmbus(self) -> int:119 lsvmbus_device_count = 0120 bridge_device_count = 0121 lsvmbus_tool = self._node.tools[Lsvmbus]122 device_list = lsvmbus_tool.get_device_channels()123 for device in device_list:124 for name, id, bridge_count in NvidiaSmi.gpu_devices:125 if id in device.device_id:126 lsvmbus_device_count += 1127 bridge_device_count = bridge_count128 self._log.debug(f"GPU device {name} found!")129 break130 return lsvmbus_device_count - bridge_device_count131 def get_gpu_count_with_lspci(self) -> int:132 lspci_tool = self._node.tools[Lspci]133 device_list = lspci_tool.get_devices_by_type(134 constants.DEVICE_TYPE_GPU, force_run=True135 )136 # Remove Microsoft Virtual one. It presents with GRID driver.137 device_list = self.remove_virtual_gpus(device_list)138 return len(device_list)139 def get_gpu_count_with_vendor_cmd(self) -> int:140 nvidiasmi = self._node.tools[NvidiaSmi]141 return nvidiasmi.get_gpu_count()142 def get_supported_driver(self) -> List[ComputeSDK]:143 raise NotImplementedError()144 def _initialize(self, *args: Any, **kwargs: Any) -> None:145 self.gpu_vendor: Set[str] = set()146 @classmethod147 def _install_by_platform(cls, *args: Any, **kwargs: Any) -> None:148 raise NotImplementedError()149 # download and install NVIDIA grid driver150 def _install_grid_driver(self, driver_url: str) -> None:151 self._log.debug("Starting GRID driver installation")...
gpusuite.py
Source:gpusuite.py
...109 lspci = node.tools[Lspci]110 gpu = node.features[Gpu]111 # 1. Disable GPU devices.112 gpu_devices = lspci.get_devices_by_type(device_type=constants.DEVICE_TYPE_GPU)113 gpu_devices = gpu.remove_virtual_gpus(gpu_devices)114 # stop the service which uses nvidia module115 service = node.tools[Service]116 service.stop_service("nvidia-persistenced")117 for device in gpu_devices:118 lspci.disable_device(device)119 # 2. Enable GPU devices.120 lspci.enable_devices()121 @TestCaseMetadata(122 description="""123 This test case will run PyTorch to check CUDA driver installed correctly.124 1. Install PyTorch.125 2. Check GPU count by torch.cuda.device_count()126 3. Compare with PCI result127 """,...
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