CloudAI Benchmark Framework v1.5.0

networking/display/cloudai150/_modules/cloudai/workloads/ddlb/ddlb.html

Source code for cloudai.workloads.ddlb.ddlb

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from typing import Optional, Union

from cloudai.core import DockerImage, Installable, JobStatusResult, TestRun
from cloudai.models.workload import CmdArgs, TestDefinition


[docs] class DDLBCmdArgs(CmdArgs): """DDLB test command arguments.""" docker_image_url: str primitive: str m: Union[int, list[int]] = 1024 n: Union[int, list[int]] = 128 k: Union[int, list[int]] = 1024 dtype: str num_iterations: int = 50 num_warmups: int = 5 impl: Union[str, list[str]] = "pytorch;backend=nccl;order=AG_before"
[docs] class DDLBTestDefinition(TestDefinition): """Test object for DDLB.""" cmd_args: DDLBCmdArgs _docker_image: Optional[DockerImage] = None @property def extra_args_str(self) -> str: parts = [] for k, v in self.extra_cmd_args.items(): parts.append(f"{k} {v}" if v else k) return " ".join(parts) @property def docker_image(self) -> DockerImage: if not self._docker_image: self._docker_image = DockerImage(url=self.cmd_args.docker_image_url) return self._docker_image @property def installables(self) -> list[Installable]: return [self.docker_image]
[docs] def was_run_successful(self, tr: TestRun) -> JobStatusResult: stdout_path = tr.output_path / "stdout.txt" if stdout_path.is_file(): with stdout_path.open("r") as file: content = file.read() # Check for specific error patterns if "Error" in content: return JobStatusResult( is_successful=False, error_message=( f"DDLB test failure detected in {stdout_path}. " "Possible reasons include network errors or remote process exits. " "Please review the DDLB test output and errors in the file first. " "If the issue persists, contact the system administrator." ), ) # Identify missing success indicators if "Benchmark Results" not in content: error_message = ( f"Missing success indicators in {stdout_path}: 'Benchmark Results'. " "These keywords are expected to be present in stdout.txt, usually towards the end of the file. " "Please review the DDLB test output and errors in the file. " "Ensure the DDLB test ran to completion. You can run the generated sbatch script manually " f"and check if {stdout_path} is created and contains the expected keywords. " "If the issue persists, contact the system administrator." ) return JobStatusResult(is_successful=False, error_message=error_message) return JobStatusResult(is_successful=True) return JobStatusResult( is_successful=False, error_message=( f"stdout.txt file not found in the specified output directory {tr.output_path}. " "This file is expected to be created as a result of the DDLB test run. " "Please ensure the DDLB test was executed properly and that stdout.txt is generated. " f"You can run the generated DDLB test command manually and verify the creation of {stdout_path}. " "If the issue persists, contact the system administrator." ), )
© Copyright 2026, NVIDIA CORPORATION & AFFILIATES. Last updated on Mar 3, 2026