6.7 KiB
Native SmolVLA Model Migration Implementation Plan
For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (
- [ ]) syntax for tracking.
Goal: Migrate only the SmolVLA model core into RoboIMI and expose it as a native VLA agent without importing the full LeRobot package.
Architecture: Add a focused roboimi.vla.models.smolvla model package and a SmolVLANativeAgent wrapper that speaks the existing RoboIMI train/eval interface. Keep normalization, queues, camera ordering, and task fallback in the agent; keep model math in the migrated model package.
Tech Stack: PyTorch, Transformers, Hydra/OmegaConf, unittest/pytest-style tests, existing RoboIMI normalization and VLA scripts.
File Structure
- Create
roboimi/vla/models/smolvla/__init__.py: package exports. - Create
roboimi/vla/models/smolvla/configuration.py: lightweight config dataclass. - Create
roboimi/vla/models/smolvla/modeling.py: model utilities andVLAFlowMatching. - Create
roboimi/vla/models/smolvla/smolvlm_with_expert.py: adapted VLM/expert core. - Create
roboimi/vla/agent_smolvla_native.py: RoboIMI agent wrapper. - Create
roboimi/vla/conf/agent/smolvla_native.yaml: Hydra config. - Create
tests/test_smolvla_native_agent.py: TDD tests for wrapper behavior. - Create
tests/test_smolvla_native_modeling.py: TDD tests for utilities/config where useful.
Task 1: Wrapper behavior tests and minimal agent skeleton
Files:
-
Create:
tests/test_smolvla_native_agent.py -
Create:
roboimi/vla/agent_smolvla_native.py -
Step 1: Write failing tests for task fallback, camera order, queue, and fake model calls
Implement tests using fake tokenizer and fake model. Test names:
-
test_compute_loss_orders_cameras_tokenizes_task_and_calls_native_model -
test_unknown_task_uses_configured_task_description -
test_missing_camera_raises_clear_error -
test_predict_action_chunk_denormalizes_fake_model_output -
test_select_action_uses_action_queue_before_recomputing -
Step 2: Run tests and verify import failure
Run: python -m unittest tests.test_smolvla_native_agent -v
Expected: FAIL because roboimi.vla.agent_smolvla_native does not exist.
- Step 3: Implement minimal
SmolVLANativeAgentskeleton
Implement constructor injection for model and tokenizer, plus _resolve_task, _order_images, _tokenize_tasks, reset, _prepare_observation_batch, compute_loss, predict_action_chunk, and select_action. Use fake model in tests; real model construction can raise a clear ImportError until Task 3.
- Step 4: Run tests and verify pass
Run: python -m unittest tests.test_smolvla_native_agent -v
Expected: PASS.
Task 2: Config and modeling utility tests
Files:
-
Create:
tests/test_smolvla_native_modeling.py -
Create:
roboimi/vla/models/smolvla/configuration.py -
Create:
roboimi/vla/models/smolvla/modeling.py -
Create:
roboimi/vla/models/smolvla/__init__.py -
Step 1: Write failing tests
Cover:
-
NativeSmolVLAConfigvalidatesn_action_steps <= chunk_size. -
pad_vectorpads and rejects truncation. -
resize_with_padpreserves batch/channel shape and output size. -
make_att_2d_masksmatches prefix-LM mask semantics. -
Step 2: Run tests and verify failure
Run: python -m unittest tests.test_smolvla_native_modeling -v
Expected: FAIL because package/modeling code is missing.
- Step 3: Implement config and utility functions
Port minimal functions from external SmolVLA while removing LeRobot imports.
- Step 4: Run tests and verify pass
Run: python -m unittest tests.test_smolvla_native_modeling -v
Expected: PASS.
Task 3: Migrate model core
Files:
-
Modify:
roboimi/vla/models/smolvla/modeling.py -
Create:
roboimi/vla/models/smolvla/smolvlm_with_expert.py -
Modify:
roboimi/vla/agent_smolvla_native.py -
Step 1: Write fake-backed integration tests for lazy real model construction
Patch VLAFlowMatching and tokenizer loader so SmolVLANativeAgent(model=None, tokenizer=None) constructs a fake model without real downloads. Verify config fields are passed.
- Step 2: Run test and verify failure
Run: python -m unittest tests.test_smolvla_native_agent -v
Expected: FAIL because real construction path is not implemented.
- Step 3: Port
SmolVLMWithExpertModelandVLAFlowMatching
Copy only model-core logic from external files, replacing LeRobot dependencies with local config and local helpers. Preserve forward, sample_actions, denoise_step, image resize/pad, state/action padding, and language token inputs.
- Step 4: Wire agent lazy construction
If model is not supplied, create NativeSmolVLAConfig, tokenizer, and VLAFlowMatching. Keep model injection path for tests.
- Step 5: Run unit tests
Run:
python -m unittest tests.test_smolvla_native_agent tests.test_smolvla_native_modeling -v
Expected: PASS.
Task 4: Hydra config
Files:
-
Create:
roboimi/vla/conf/agent/smolvla_native.yaml -
Modify:
tests/test_smolvla_native_agent.py -
Step 1: Add failing Hydra compose test
Test composing agent=smolvla_native exposes _target_, action_dim=16, obs_dim=16, camera_names=${data.camera_names}, and model config fields.
- Step 2: Run and verify failure
Run: python -m unittest tests.test_smolvla_native_agent -v
Expected: FAIL because yaml is missing.
- Step 3: Add yaml config
Add smolvla_native.yaml with _target_: roboimi.vla.agent_smolvla_native.SmolVLANativeAgent and sane defaults.
- Step 4: Run test and verify pass
Run: python -m unittest tests.test_smolvla_native_agent -v
Expected: PASS.
Task 5: Regression checks
Files:
-
No production changes expected unless tests reveal integration gaps.
-
Step 1: Run focused existing tests
Run:
python -m unittest tests.test_smolvla_prefix_encoder tests.test_smolvla_imf_agent tests.test_eval_vla_execution -v
Expected: PASS.
- Step 2: Search for forbidden import
Run:
rg -n "import lerobot|from lerobot" roboimi/vla/models/smolvla roboimi/vla/agent_smolvla_native.py
Expected: no matches.
- Step 3: Commit
Run:
git add roboimi/vla/models/smolvla roboimi/vla/agent_smolvla_native.py roboimi/vla/conf/agent/smolvla_native.yaml tests/test_smolvla_native_agent.py tests/test_smolvla_native_modeling.py docs/superpowers/specs/2026-05-25-native-smolvla-model-migration-design.md docs/superpowers/plans/2026-05-25-native-smolvla-model-migration.md
git commit -m "feat(vla): add native SmolVLA model agent"
Expected: commit succeeds.