Merge pull request #2 from cheng-chi/cchi/reproduce
Small fixes for dependencies
This commit is contained in:
140
.gitignore
vendored
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140
.gitignore
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bin
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logs
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wandb
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outputs
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data
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data_local
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.vscode
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_wandb
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**/.DS_Store
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fuse.cfg
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*.ai
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# Generation results
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results/
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ray/auth.json
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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@@ -39,7 +39,7 @@ You can find all scripted/human demo for simulated environments [here](https://d
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pip install einops
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pip install packaging
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pip install h5py
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pip install h5py_cache
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pip install ipython
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cd act/detr && pip install -e .
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### Example Usages
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23
conda_env.yaml
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23
conda_env.yaml
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name: aloha
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channels:
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- pytorch
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- nvidia
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- conda-forge
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dependencies:
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- python=3.9
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- pip=23.0.1
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- pytorch=2.0.0
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- torchvision=0.15.0
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- pytorch-cuda=11.8
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- pyquaternion=0.9.9
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- pyyaml=6.0
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- rospkg=1.5.0
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- pexpect=4.8.0
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- mujoco=2.3.3
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- dm_control=1.0.9
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- py-opencv=4.7.0
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- matplotlib=3.7.1
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- einops=0.6.0
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- packaging=23.0
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- h5py=3.8.0
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- ipython=8.12.0
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@@ -3,7 +3,7 @@ import os
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import numpy as np
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import argparse
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import matplotlib.pyplot as plt
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import h5py_cache
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import h5py
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from constants import PUPPET_GRIPPER_POSITION_NORMALIZE_FN, SIM_TASK_CONFIGS
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from ee_sim_env import make_ee_sim_env
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@@ -158,8 +158,7 @@ def main(args):
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# HDF5
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t0 = time.time()
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dataset_path = os.path.join(dataset_dir, f'episode_{episode_idx}')
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with h5py_cache.File(dataset_path + '.hdf5', 'w', chunk_cache_mem_size=1024 ** 2 * 2) as root:
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# with h5py.File(dataset_path + '.hdf5', 'w') as root:
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with h5py.File(dataset_path + '.hdf5', 'w', rdcc_nbytes=1024 ** 2 * 2) as root:
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root.attrs['sim'] = True
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obs = root.create_group('observations')
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image = obs.create_group('images')
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