Files
lerobot/tests/policies/lingbot_va/test_factory.py
T
pepijn223 b81909fc28 feat(lingbot_va): RoboTwin eef-pose eval, single-file model, Hub checkpoints
Make the LingBot-VA port runnable on both LIBERO and RoboTwin and clean up the
package to LeRobot conventions.

- Consolidate all vendored Wan2.2 model code (transformer, attention, VAE helpers,
  flow-matching scheduler, grid utils, flex-attention) into a single
  modeling_lingbot_va.py; remove the separate wan_*/schedulers modules.
- Move the fixed action (un)normalization quantiles out of the config and into the
  post-processor (LIBERO 7-DoF + RoboTwin 16-d eef); remove the conversion script in
  favour of ready-to-use LeRobot-format checkpoints on the Hub.
- Fixes found via on-sim validation: undo LIBERO's 180-degree image flip
  (image_hflip), encode obs as a multi-frame streaming-VAE clip, reset the streaming
  VAE cache between episodes, run the transformer in config.dtype, lazy-load frozen
  VAE/UMT5 by subfolder with the text encoder on CPU.
- RoboTwin: add an end-effector-pose action mode to RoboTwinEnv (16-d per-arm
  xyz+quat+gripper deltas composed onto the initial eef pose, executed via CuRobo IK)
  and the robotwin_tshape latent layout (full-res head + half-res wrists via a second
  streaming VAE) with the upstream RoboTwin action quantiles + camera mapping.
- Predicted-video saving works for both benchmarks; docs + tests updated.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-23 17:31:27 +00:00

39 lines
1.4 KiB
Python

#!/usr/bin/env python
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
#
# 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.
from __future__ import annotations
import pytest
from lerobot.policies.factory import make_policy_config
from lerobot.policies.lingbot_va.configuration_lingbot_va import LingBotVAConfig
def test_make_policy_config_returns_lingbot_va() -> None:
cfg = make_policy_config("lingbot_va", device="cpu")
assert isinstance(cfg, LingBotVAConfig)
def test_get_policy_class_resolves_lazily() -> None:
# Importing the policy class pulls in diffusers (Wan2.2 stack); skip if unavailable.
pytest.importorskip("diffusers")
pytest.importorskip("transformers")
from lerobot.policies.factory import get_policy_class
cls = get_policy_class("lingbot_va")
assert cls.name == "lingbot_va"
assert cls.config_class is LingBotVAConfig