Workflow Templates (AzureML)

Selected AzureML workflow templates for RL, LeRobot, and software-in-the-loop (SiL) training and evaluation, consistent with the AzureML workflow index. This is not an exhaustive inventory and does not cover VLA workflows. Template names, defaults, and paths in this page are derived from the YAML files in training/ and evaluation/.

Template Inventory

Template	Purpose	Source YAML path	Typical submit path
train.yaml	Isaac Lab RL training job structure	training/rl/workflows/azureml/train.yaml	training/rl/scripts/submit-azureml-training.sh
lerobot-train.yaml	LeRobot behavioral cloning training job structure	training/il/workflows/azureml/lerobot-train.yaml	training/il/scripts/submit-azureml-lerobot-training.sh
isaaclab-evaluation.yaml	Isaac Lab policy evaluation against registered models	evaluation/sil/workflows/azureml/isaaclab-evaluation.yaml	evaluation/sil/scripts/submit-azureml-isaaclab-evaluation.sh
lerobot-eval.yaml	LeRobot policy evaluation and optional model registration	evaluation/sil/workflows/azureml/lerobot-eval.yaml	evaluation/sil/scripts/submit-azureml-lerobot-eval.sh
lerobot-pipeline.yaml	LeRobot preprocess/train/evaluate pipeline	training/il/workflows/azureml/lerobot-pipeline.yaml	training/il/scripts/submit-azureml-lerobot-pipeline.sh
lerobot-pipeline-with-register.yaml	Pipeline with registration step	training/il/workflows/azureml/lerobot-pipeline-with-register.yaml	training/il/scripts/submit-azureml-lerobot-pipeline.sh --with-register --register-model-name <name>

The pipeline submitter selects the three-step template by default. --with-register selects the four-step variant and requires --register-model-name. The sections below describe the standalone command-job templates; pipeline component configuration remains in the source YAML and submitter help.

train.yaml

Field	Details
Purpose	Structural template for Isaac Lab RL training submissions in AzureML.
Source YAML path	training/rl/workflows/azureml/train.yaml
Primary parameters and overrides	inputs.task (Isaac-Velocity-Rough-Anymal-C-v0), inputs.num_envs ("2048"), inputs.max_iterations ("600"), inputs.checkpoint_mode (from-scratch), inputs.checkpoint_uri (none), inputs.register_checkpoint (none), inputs.run_azure_smoke_test ("false").
Typical submit path	training/rl/scripts/submit-azureml-training.sh
Usage notes	Keep template values as structural defaults. The submit script sets runtime command, compute, and Azure context. Direct submission requires the pinned environment version to be registered first.

lerobot-train.yaml

Field	Details
Purpose	Structural template for LeRobot ACT or Diffusion training on AzureML.
Source YAML path	training/il/workflows/azureml/lerobot-train.yaml
Primary parameters and overrides	inputs.dataset_repo_id (none), inputs.policy_type (act), inputs.job_name (lerobot-act-training), inputs.output_dir (/workspace/outputs/train), inputs.training_steps (none), inputs.batch_size (none), inputs.eval_freq (none), inputs.save_freq ("5000"), inputs.register_checkpoint (none).
Typical submit path	training/il/scripts/submit-azureml-lerobot-training.sh
Usage notes	Use script flags for policy source and hyperparameters. Secrets such as HuggingFace tokens are injected at submission time. Direct submission requires the pinned environment version to be registered first.

isaaclab-evaluation.yaml

Field	Details
Purpose	Structural template for Isaac Lab evaluation jobs against registered models.
Source YAML path	evaluation/sil/workflows/azureml/isaaclab-evaluation.yaml
Primary parameters and overrides	inputs.trained_model.path (azureml:placeholder:1), inputs.task (auto), inputs.framework (auto), inputs.eval_episodes (100), inputs.num_envs (64), inputs.success_threshold (-1.0).
Typical submit path	evaluation/sil/scripts/submit-azureml-isaaclab-evaluation.sh
Usage notes	The script resolves model metadata and passes overrides with --set. The template intentionally uses sentinel defaults (auto, placeholder paths). Direct submission requires the pinned environment version to be registered first.

lerobot-eval.yaml

Field	Details
Purpose	Structural template for LeRobot evaluation and optional model registration on AzureML.
Source YAML path	evaluation/sil/workflows/azureml/lerobot-eval.yaml
Primary parameters and overrides	inputs.policy_repo_id (none), inputs.policy_type (act), inputs.dataset_repo_id (none), inputs.eval_episodes ("10"), inputs.eval_batch_size ("10"), inputs.record_video ("false"), inputs.mlflow_enable ("false"), inputs.register_model (none), inputs.blob_storage_container (datasets).
Typical submit path	evaluation/sil/scripts/submit-azureml-lerobot-eval.sh
Usage notes	This template is the canonical AzureML LeRobot evaluation reference. Direct submission requires the pinned environment version to be registered first.

Usage Notes

Topic	Guidance
Source of truth	Use YAML files in training/ and evaluation/ for template names, keys, and defaults. scripts/update-image-digests.sh synchronizes environment versions with the checked-in image defaults in scripts/lib/common.sh.
Override pattern	Treat templates as structure-first; submission scripts provide runtime command and environment-specific values.
Azure context	Set subscription_id, resource_group, and workspace_name through script options or environment variables.
Direct submission	Register the referenced environment asset first. An Environment asset not found error means the pinned version has not been registered; run the submission script to register and verify it. The digest-derived version correlates the asset with an image but does not make Azure ML verify that image.
Related reference	See Reference index for adjacent script and artifact guides.