cli/gpu_check.py (74 lines of code) (raw):

# Copyright 2024 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Check for running a DCGM test on a cluster.""" import common import check import gke_check import slurm_check NAME = 'gpu' _DESCRIPTION = 'Runs a DCGM test on a cluster.' def get_check_for_orchestrator( orchestrator: str, machine_type: str, partition: str, nodes: list[str], run_only_on_available_nodes: bool, dry_run: bool = False, ) -> check.Check: """Returns the appropriate check for the given orchestrator.""" match orchestrator: case 'gke': return GkeGpuCheck( machine_type=machine_type, nodes=nodes, run_only_on_available_nodes=run_only_on_available_nodes, dry_run=dry_run, ) case 'slurm': return SlurmGpuCheck(machine_type, partition, nodes, dry_run=dry_run) case _: raise ValueError(f'Unsupported orchestrator: {orchestrator}') class GkeGpuCheck(gke_check.GkeCheck): """A check that runs a DCGM test on a cluster.""" _SUPPORTED_MACHINE_TYPES = common.SUPPORTED_MACHINE_TYPES launch_label = 'aiinfra/gpu-healthcheck-test' results_labels = [ 'aiinfra/gpu-healthcheck-runtime-sec', 'aiinfra/gpu-healthcheck-result', ] def __init__( self, machine_type: str, nodes: list[str], run_only_on_available_nodes: bool = False, dry_run: bool = False, **kwargs, ): super().__init__( name=NAME, description=_DESCRIPTION, machine_type=machine_type, supported_machine_types=self._SUPPORTED_MACHINE_TYPES, launch_label=self.launch_label, results_labels=self.results_labels, nodes=nodes, run_only_on_available_nodes=run_only_on_available_nodes, timeout_sec=20 * 60, dry_run=dry_run, **kwargs, ) class SlurmGpuCheck(slurm_check.SlurmCheck): """A check that runs a DCGM test on a Slurm cluster.""" _SUPPORTED_MACHINE_TYPES = common.SUPPORTED_MACHINE_TYPES _check_flag = 'dcgm' def __init__( self, machine_type: str, partition: str, nodes: list[str], dry_run: bool = False, ): super().__init__( name=NAME, description=_DESCRIPTION, machine_type=machine_type, check_flag=self._check_flag, partition=partition, nodes=nodes, supported_machine_types=self._SUPPORTED_MACHINE_TYPES, dry_run=dry_run )