How to use get_supported_driver method in lisa

Best Python code snippet using lisa_python

features.py

Source:features.py

...427            supported = node.os.information.version >= "18.0.0"428        elif isinstance(node.os, Suse):429            supported = node.os.information.version >= "15.0.0"430        return supported431    def get_supported_driver(self) -> List[ComputeSDK]:432        driver_list = []433        node_runbook = self._node.capability.get_extended_runbook(434            AzureNodeSchema, AZURE435        )436        if re.match(self._grid_supported_skus, node_runbook.vm_size):437            driver_list.append(ComputeSDK.GRID)438        elif re.match(self._amd_supported_skus, node_runbook.vm_size):439            driver_list.append(ComputeSDK.AMD)440            self._is_nvidia: bool = False441        else:442            driver_list.append(ComputeSDK.CUDA)443        if not driver_list:444            raise LisaException(445                "No valid Compute SDK found to install for the VM size -"...

gpu.py

Source:gpu.py

...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")152        # download and install the NVIDIA GRID driver153        wget_tool = self._node.tools[Wget]154        grid_file_path = wget_tool.get(155            driver_url,156            str(self._node.working_path),...

gpusuite.py

Source:gpusuite.py

...162def _check_driver_installed(node: Node) -> None:163    gpu = node.features[Gpu]164    if not gpu.is_supported():165        raise SkippedException(f"GPU is not supported with distro {node.os.name}")166    if ComputeSDK.AMD in gpu.get_supported_driver():167        raise SkippedException("AMD vm sizes is not supported")168    try:169        _ = node.tools[NvidiaSmi]170    except Exception as identifier:171        raise LisaException(172            f"Cannot find nvidia-smi, make sure the driver installed correctly. "173            f"Inner exception: {identifier}"174        )175def _install_cudnn(node: Node) -> None:176    wget = node.tools[Wget]177    tar = node.tools[Tar]178    path = wget.get_tool_path(use_global=True)179    extracted_path = tar.get_tool_path(use_global=True)180    if node.shell.exists(path / _cudnn_file_name):181        return182    download_path = wget.get(183        url=_cudnn_location, filename=str(_cudnn_file_name), file_path=str(path)184    )185    tar.extract(download_path, dest_dir=str(extracted_path))186    if isinstance(node.os, Debian):187        target_path = "/usr/lib/x86_64-linux-gnu/"188    else:189        target_path = "/usr/lib64/"190    node.execute(191        f"cp -p {extracted_path}/cuda/lib64/libcudnn* {target_path}",192        shell=True,193        sudo=True,194    )195    return196# We use platform to install the driver by default. If in future, it needs to197# install independently, this logic can be reused.198def _ensure_driver_installed(199    node: Node, gpu_feature: Gpu, log_path: Path, log: Logger200) -> None:201    if gpu_feature.is_module_loaded():202        return203    gpu_feature.install_compute_sdk()204    log.debug(205        f"{gpu_feature.get_supported_driver()} sdk installed. "206        "Will reboot to load driver."207    )208    reboot_tool = node.tools[Reboot]209    reboot_tool.reboot_and_check_panic(log_path)...

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