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https://github.com/huggingface/lerobot.git
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b81909fc28
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>
39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
#!/usr/bin/env python
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# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import pytest
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from lerobot.policies.factory import make_policy_config
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from lerobot.policies.lingbot_va.configuration_lingbot_va import LingBotVAConfig
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def test_make_policy_config_returns_lingbot_va() -> None:
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cfg = make_policy_config("lingbot_va", device="cpu")
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assert isinstance(cfg, LingBotVAConfig)
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def test_get_policy_class_resolves_lazily() -> None:
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# Importing the policy class pulls in diffusers (Wan2.2 stack); skip if unavailable.
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pytest.importorskip("diffusers")
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pytest.importorskip("transformers")
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from lerobot.policies.factory import get_policy_class
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cls = get_policy_class("lingbot_va")
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assert cls.name == "lingbot_va"
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assert cls.config_class is LingBotVAConfig
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