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[Version] v3.0.0b9
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StoneT2000 committed Aug 22, 2024
1 parent 407c346 commit 759f8c2
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6 changes: 3 additions & 3 deletions docs/source/_static/version_switcher.json
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"url": "https://maniskill.readthedocs.io/en/latest/"
},
{
"name": "3.0.0b8 (stable)",
"version": "v3.0.0b8",
"url": "https://maniskill.readthedocs.io/en/v3.0.0b8/",
"name": "3.0.0b9 (stable)",
"version": "v3.0.0b9",
"url": "https://maniskill.readthedocs.io/en/v3.0.0b9/",
"preferred": true
}
]
2 changes: 1 addition & 1 deletion examples/baselines/tdmpc2/environment.yaml
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Expand Up @@ -47,7 +47,7 @@ dependencies:
- tqdm==4.66.1
- wandb==0.16.2
- wheel==0.38.0
- mani_skill>=3.0.0b8
- mani_skill>=3.0.0b9
####################
# Gym:
# (unmaintained but required for maniskill2/meta-world/myosuite)
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2 changes: 1 addition & 1 deletion mani_skill/__init__.py
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from .utils.logging_utils import logger

__version__ = "3.0.0b8"
__version__ = "3.0.0b9"

# ---------------------------------------------------------------------------- #
# Setup paths
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2 changes: 1 addition & 1 deletion setup.py
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from setuptools import find_packages, setup

__version__ = "3.0.0b8"
__version__ = "3.0.0b9"

long_description = """ManiSkill is a powerful unified framework for robot simulation and training powered by [SAPIEN](https://sapien.ucsd.edu/). The entire stack is as open-source as possible and ManiSkill v3 is in beta release now. Among its features include:
- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 20k FPS with a 4090 GPU, 10-100x faster compared to most other simulators.
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