Nemo Run#
This workload (test_template_name is NemoRun
) executes NeMo training and fine-tuning tasks using the NeMo Run framework.
Usage Example#
Test TOML example:
name = "my_nemo_test"
description = "Example NeMo Run test"
test_template_name = "NemoRun"
[cmd_args]
recipe = "llama3_8b"
task = "pretrain"
Test Scenario example:
name = "nemo-run-test"
[[Tests]]
id = "nemo.1"
num_nodes = 4
time_limit = "02:00:00"
test_name = "my_nemo_test"
Test-in-Scenario example:
name = "nemo-run-test"
[[Tests]]
id = "nemo.1"
num_nodes = 4
time_limit = "02:00:00"
name = "my_nemo_test"
description = "Example NeMo Run test"
test_template_name = "NemoRun"
[Tests.cmd_args]
recipe = "llama3_8b"
task = "pretrain"
API Documentation#
Command Arguments#
- class cloudai.workloads.nemo_run.nemo_run.NeMoRunCmdArgs(
- *,
- docker_image_url: str,
- task: str,
- recipe_name: str,
- num_layers: int | None = None,
- trainer: Trainer = None,
- log: Log = None,
- data: Data = None,
- optim: Optim = None,
- **extra_data: Any,
Bases:
CmdArgs
NeMoRun test command arguments.
- docker_image_url: str#
- task: str#
- recipe_name: str#
- num_layers: int | None#
- trainer: Trainer#
- log: Log#
- data: Data#
- optim: Optim#
Test Definition#
- class cloudai.workloads.nemo_run.nemo_run.NeMoRunTestDefinition(
- *,
- name: str,
- description: str,
- test_template_name: str,
- cmd_args: NeMoRunCmdArgs,
- extra_env_vars: dict[str, str | List[str]] = {},
- extra_cmd_args: dict[str, str] = {},
- extra_container_mounts: list[str] = [],
- git_repos: list[GitRepo] = [],
- nsys: NsysConfiguration | None = None,
- predictor: PredictorConfig | None = None,
- agent: str = 'grid_search',
- agent_steps: int = 1,
- agent_metrics: list[str] = ['default'],
- agent_reward_function: str = 'inverse',
- script: File = File(src=PosixPath('/home/runner/work/cloudai/cloudai/src/cloudai/workloads/nemo_run/cloudai_nemorun.py')),
Bases:
TestDefinition
NeMoRun test definition.
- cmd_args: NeMoRunCmdArgs#
- script: File#
- property docker_image: DockerImage#
- property installables: list[Installable]#
Get list of installable objects.
- property update_num_train_samples: int | None#
Calculate num_train_samples based on global_batch_size and max_steps.