name: mm-vlp
channels:
  - pytorch
  - nvidia
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - asttokens=2.0.5=pyhd3eb1b0_0
  - backcall=0.2.0=pyhd3eb1b0_0
  - blas=1.0=mkl
  - brotlipy=0.7.0=py38h27cfd23_1003
  - bzip2=1.0.8=h7b6447c_0
  - ca-certificates=2023.05.30=h06a4308_0
  - cffi=1.15.1=py38h5eee18b_3
  - comm=0.1.2=py38h06a4308_0
  - cryptography=41.0.2=py38h774aba0_0
  - cuda-cudart=11.8.89=0
  - cuda-cupti=11.8.87=0
  - cuda-libraries=11.8.0=0
  - cuda-nvrtc=11.8.89=0
  - cuda-nvtx=11.8.86=0
  - cuda-runtime=11.8.0=0
  - debugpy=1.5.1=py38h295c915_0
  - executing=0.8.3=pyhd3eb1b0_0
  - ffmpeg=4.3=hf484d3e_0
  - freetype=2.12.1=h4a9f257_0
  - giflib=5.2.1=h5eee18b_3
  - gmp=6.2.1=h295c915_3
  - gmpy2=2.1.2=py38heeb90bb_0
  - gnutls=3.6.15=he1e5248_0
  - idna=3.4=py38h06a4308_0
  - importlib_metadata=6.0.0=hd3eb1b0_0
  - intel-openmp=2023.1.0=hdb19cb5_46305
  - ipykernel=6.19.2=py38hb070fc8_0
  - ipython=8.12.0=py38h06a4308_0
  - jedi=0.18.1=py38h06a4308_1
  - jinja2=3.1.2=py38h06a4308_0
  - jpeg=9e=h5eee18b_1
  - jupyter_client=8.1.0=py38h06a4308_0
  - jupyter_core=5.3.0=py38h06a4308_0
  - lame=3.100=h7b6447c_0
  - lcms2=2.12=h3be6417_0
  - ld_impl_linux-64=2.38=h1181459_1
  - lerc=3.0=h295c915_0
  - libcublas=11.11.3.6=0
  - libcufft=10.9.0.58=0
  - libcufile=1.7.0.149=0
  - libcurand=10.3.3.53=0
  - libcusolver=11.4.1.48=0
  - libcusparse=11.7.5.86=0
  - libdeflate=1.17=h5eee18b_0
  - libffi=3.4.2=h6a678d5_6
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libiconv=1.16=h7f8727e_2
  - libidn2=2.3.4=h5eee18b_0
  - libnpp=11.8.0.86=0
  - libnvjpeg=11.9.0.86=0
  - libpng=1.6.39=h5eee18b_0
  - libsodium=1.0.18=h7b6447c_0
  - libstdcxx-ng=11.2.0=h1234567_1
  - libtasn1=4.19.0=h5eee18b_0
  - libtiff=4.5.0=h6a678d5_2
  - libunistring=0.9.10=h27cfd23_0
  - libwebp=1.2.4=h11a3e52_1
  - libwebp-base=1.2.4=h5eee18b_1
  - lz4-c=1.9.4=h6a678d5_0
  - matplotlib-inline=0.1.6=py38h06a4308_0
  - mkl=2023.1.0=h6d00ec8_46342
  - mkl-service=2.4.0=py38h5eee18b_1
  - mkl_fft=1.3.6=py38h417a72b_1
  - mkl_random=1.2.2=py38h417a72b_1
  - mpc=1.1.0=h10f8cd9_1
  - mpfr=4.0.2=hb69a4c5_1
  - ncurses=6.4=h6a678d5_0
  - nest-asyncio=1.5.6=py38h06a4308_0
  - nettle=3.7.3=hbbd107a_1
  - numpy=1.24.3=py38hf6e8229_1
  - numpy-base=1.24.3=py38h060ed82_1
  - openh264=2.1.1=h4ff587b_0
  - openssl=1.1.1u=h7f8727e_0
  - parso=0.8.3=pyhd3eb1b0_0
  - pexpect=4.8.0=pyhd3eb1b0_3
  - pickleshare=0.7.5=pyhd3eb1b0_1003
  - platformdirs=2.5.2=py38h06a4308_0
  - prompt-toolkit=3.0.36=py38h06a4308_0
  - ptyprocess=0.7.0=pyhd3eb1b0_2
  - pure_eval=0.2.2=pyhd3eb1b0_0
  - pycparser=2.21=pyhd3eb1b0_0
  - pygments=2.15.1=py38h06a4308_1
  - pyopenssl=23.2.0=py38h06a4308_0
  - pysocks=1.7.1=py38h06a4308_0
  - python=3.8.16=h7a1cb2a_3
  - python-dateutil=2.8.2=pyhd3eb1b0_0
  - pytorch-cuda=11.8=h7e8668a_5
  - pytorch-mutex=1.0=cuda
  - pyzmq=25.0.2=py38h6a678d5_0
  - readline=8.2=h5eee18b_0
  - setuptools=66.0.0=py38h06a4308_0
  - six=1.16.0=pyhd3eb1b0_1
  - sqlite=3.41.2=h5eee18b_0
  - stack_data=0.2.0=pyhd3eb1b0_0
  - tbb=2021.8.0=hdb19cb5_0
  - tk=8.6.12=h1ccaba5_0
  - torchtriton=2.0.0=py38
  - tornado=6.2=py38h5eee18b_0
  - traitlets=5.7.1=py38h06a4308_0
  - typing_extensions=4.5.0=py38h06a4308_0
  - wheel=0.38.4=py38h06a4308_0
  - xz=5.4.2=h5eee18b_0
  - zeromq=4.3.4=h2531618_0
  - zlib=1.2.13=h5eee18b_0
  - zstd=1.5.5=hc292b87_0
  - pip:
      - absl-py==1.4.0
      - addict==2.4.0
      - alabaster==0.7.13
      - albumentations==0.5.2
      - astunparse==1.6.3
      - attrs==23.1.0
      - babel==2.12.1
      - beautifulsoup4==4.12.2
      - cachetools==5.3.0
      - certifi==2022.12.7
      - chardet==5.1.0
      - charset-normalizer==3.1.0
      - click==8.1.3
      #- clip==1.0
      - cloudpickle==1.6.0
      - cmake==3.26.3
      - configargparse==1.5.3
      - contextlib2==21.6.0
      - contourpy==1.0.7
      - cycler==0.11.0
      - cython==0.29.35
      - dash==2.10.0
      - dash-core-components==2.0.0
      - dash-html-components==2.0.0
      - dash-table==5.0.0
      - decorator==4.4.2
      - docutils==0.18.1
      - easydict==1.10
      - exceptiongroup==1.1.1
      - fasteners==0.18
      - fastjsonschema==2.17.1
      - filelock==3.12.0
      - flask==2.2.3
      - flatbuffers==23.5.9
      - fonttools==4.39.3
      - fsspec==2023.5.0
      - ftfy==6.1.1
      - future==0.18.3
      - gast==0.4.0
      - gdown==4.4.0
      - glfw==2.5.9
      - google-auth==2.17.3
      - google-auth-oauthlib==1.0.0
      - google-pasta==0.2.0
      - grpcio==1.54.0
      - gym==0.17.3
      - h5py==3.10.0
      - huggingface-hub==0.14.1
      - imagehash==4.3.1
      - imageio==2.28.1
      - imageio-ffmpeg==0.4.8
      - imagesize==1.4.1
      - imgaug==0.4.0
      - importlib-metadata==6.6.0
      - importlib-resources==5.12.0
      - iniconfig==2.0.0
      - ipdb==0.13.13
      - ipywidgets==8.0.6
      - itsdangerous==2.1.2
      - joblib==1.2.0
      - jsonschema==4.17.3
      - jupyterlab-widgets==3.0.7
      - keras==2.13.1
      - kiwisolver==1.4.4
      - lazy-loader==0.2
      - libclang==16.0.6
      - lit==16.0.5
      - lxml==4.9.3
      - markdown==3.4.3
      - markupsafe==2.1.2
      - matplotlib==3.7.1
      - mediapipe==0.10.0
      - ml-collections==0.1.0
      - moviepy==1.0.3
      - mpmath==1.3.0
      - mujoco-py==2.1.2.14
      - natsort==8.4.0
      - nbformat==5.7.0
      - networkx==3.1
      - nlopt==2.7.0
      - numpydoc==1.5.0
      - nvidia-cublas-cu11==11.10.3.66
      - nvidia-cuda-cupti-cu11==11.7.101
      - nvidia-cuda-nvrtc-cu11==11.7.99
      - nvidia-cuda-runtime-cu11==11.7.99
      - nvidia-cudnn-cu11==8.5.0.96
      - nvidia-cufft-cu11==10.9.0.58
      - nvidia-curand-cu11==10.2.10.91
      - nvidia-cusolver-cu11==11.4.0.1
      - nvidia-cusparse-cu11==11.7.4.91
      - nvidia-nccl-cu11==2.14.3
      - nvidia-nvtx-cu11==11.7.91
      - oauthlib==3.2.2
      - open3d==0.17.0
      - opencv-contrib-python==4.7.0.72
      - opencv-python==4.7.0.72
      - opencv-python-headless==4.7.0.72
      - opt-einsum==3.3.0
      - packaging==23.1
      - pandas==2.0.1
      - pillow==9.5.0
      - pip==23.3.1
      - pkgutil-resolve-name==1.3.10
      - plotly==5.14.1
      - pluggy==1.0.0
      - prettytable==3.7.0
      - proglog==0.1.10
      #- protobuf==4.24.4
      - psutil==5.9.5
      - py-cpuinfo==9.0.0
      - pyasn1==0.5.0
      - pyasn1-modules==0.3.0
      - pycocotools==2.0.6
      - pygame==2.4.0
      - pygifsicle==1.0.7
      - pyglet==1.5.0
      - pymunk==5.6.0
      - pyparsing==3.0.9
      - pyqt5==5.13.2
      - pyqt5-qt5==5.15.2
      - pyqt5-sip==12.12.1
      - pyquaternion==0.9.9
      - pyrsistent==0.19.3
      - pytest==7.3.1
      - pytest-instafail==0.3.0
      - pytorch-metric-learning==2.3.0
      - pytz==2023.3
      - pywavelets==1.4.1
      - pyyaml==6.0
      - regex==2023.5.5
      - requests==2.29.0
      - requests-oauthlib==1.3.1
      - rsa==4.9
      - safetensors==0.3.1
      - scikit-image==0.20.0
      - scikit-learn==1.2.2
      - scipy==1.9.1
      - seaborn==0.12.2
      - sentry-sdk==1.21.1
      - shapely==2.0.1
      - snowballstemmer==2.2.0
      - sounddevice==0.4.6
      - soupsieve==2.4.1
      - sphinx==6.2.1
      - sphinx-rtd-theme==1.2.1
      - sphinxcontrib-applehelp==1.0.4
      - sphinxcontrib-devhelp==1.0.2
      - sphinxcontrib-htmlhelp==2.0.1
      - sphinxcontrib-jquery==4.1
      - sphinxcontrib-jsmath==1.0.1
      - sphinxcontrib-qthelp==1.0.3
      - sphinxcontrib-serializinghtml==1.1.5
      - supervision==0.6.0
      #- support-developer==1.0.5
      - sympy==1.12
      - tenacity==8.2.2
      - tensorboard==2.13.0
      - tensorboard-data-server==0.7.0
      - tensorflow==2.13.1
      - tensorflow-estimator==2.13.0
      - tensorflow-io-gcs-filesystem==0.34.0
      - termcolor==2.3.0
      - thop==0.1.1-2209072238
      - threadpoolctl==3.1.0
      - tifffile==2023.4.12
      - timm==0.9.2
      - tokenizers==0.13.3
      - tomli==2.0.1
      #- torch==2.0.0+cu118
      - torch-geometric==2.3.1
      #- torchaudio==2.0.1+cu118
      #- torchkit==0.0.2
      #- torchvision==0.15.1+cu118
      - tqdm==4.65.0
      - transformers==4.29.2
      - transforms3d==0.4.1
      - trimesh==3.21.7
      - triton==2.0.0
      - tzdata==2023.3
      - ultralytics==8.0.92
      - urllib3==1.26.15
      - wcwidth==0.2.6
      - werkzeug==2.2.3
      - widgetsnbextension==4.0.7
      - wrapt==1.15.0
      - x-magical==0.0.2
      - yapf==0.33.0
      - zipp==3.15.0
prefix: /home/lei/anaconda3/envs/icra