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env_cuda11.yml
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env_cuda11.yml
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name: Ampere
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_kmp_llvm
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
- blas=2.116=mkl
- blas-devel=3.9.0=16_linux64_mkl
- brotlipy=0.7.0=py37h540881e_1004
- bzip2=1.0.8=h7f98852_4
- ca-certificates=2022.10.11=h06a4308_0
- certifi=2022.9.24=py37h06a4308_0
- cffi=1.15.1=py37h43b0acd_0
- charset-normalizer=2.1.1=pyhd8ed1ab_0
- cryptography=38.0.1=py37h38fbfac_0
- cudatoolkit=11.3.1=h9edb442_10
- cudnn=8.4.1.50=hed8a83a_0
- decorator=5.1.1=pyhd8ed1ab_0
- ffmpeg=4.3.2=h37c90e5_3
- flit-core=3.6.0=pyhd3eb1b0_0
- freetype=2.12.1=hca18f0e_0
- gmp=6.2.1=h58526e2_0
- gnutls=3.6.13=h85f3911_1
- idna=3.4=pyhd8ed1ab_0
- ipdb=0.13.9=pyhd8ed1ab_0
- ipython=7.33.0=py37h89c1867_0
- jedi=0.18.1=pyhd8ed1ab_2
- jpeg=9e=h166bdaf_2
- lame=3.100=h166bdaf_1003
- lcms2=2.12=hddcbb42_0
- ld_impl_linux-64=2.36.1=hea4e1c9_2
- lerc=4.0.0=h27087fc_0
- libblas=3.9.0=16_linux64_mkl
- libcblas=3.9.0=16_linux64_mkl
- libdeflate=1.14=h166bdaf_0
- libffi=3.4.2=h7f98852_5
- libgcc-ng=12.1.0=h8d9b700_16
- libgfortran-ng=12.1.0=h69a702a_16
- libgfortran5=12.1.0=hdcd56e2_16
- libgomp=12.1.0=h8d9b700_16
- libiconv=1.17=h166bdaf_0
- liblapack=3.9.0=16_linux64_mkl
- liblapacke=3.9.0=16_linux64_mkl
- libnsl=2.0.0=h7f98852_0
- libpng=1.6.38=h753d276_0
- libprotobuf=3.20.1=h6239696_4
- libsqlite=3.39.4=h753d276_0
- libstdcxx-ng=12.1.0=ha89aaad_16
- libtiff=4.4.0=h55922b4_4
- libuv=1.44.2=h166bdaf_0
- libwebp-base=1.2.4=h166bdaf_0
- libxcb=1.13=h7f98852_1004
- libzlib=1.2.12=h166bdaf_4
- llvm-openmp=14.0.4=he0ac6c6_0
- magma=2.5.4=h6103c52_2
- matplotlib-inline=0.1.6=pyhd8ed1ab_0
- mkl=2022.1.0=h84fe81f_915
- mkl-devel=2022.1.0=ha770c72_916
- mkl-include=2022.1.0=h84fe81f_915
- nccl=2.14.3.1=h0800d71_0
- ncurses=6.3=h27087fc_1
- nettle=3.6=he412f7d_0
- ninja=1.11.0=h924138e_0
- numpy=1.21.6=py37h976b520_0
- openh264=2.1.1=h780b84a_0
- openjpeg=2.5.0=h7d73246_1
- openssl=1.1.1s=h7f8727e_0
- parso=0.8.3=pyhd8ed1ab_0
- pexpect=4.8.0=pyh9f0ad1d_2
- pickleshare=0.7.5=py_1003
- pillow=9.2.0=py37h850a105_2
- pip=22.2.2=pyhd8ed1ab_0
- prompt-toolkit=3.0.31=pyha770c72_0
- pthread-stubs=0.4=h36c2ea0_1001
- ptyprocess=0.7.0=pyhd3deb0d_0
- pycparser=2.21=pyhd8ed1ab_0
- pygments=2.13.0=pyhd8ed1ab_0
- pyopenssl=22.0.0=pyhd8ed1ab_1
- pysocks=1.7.1=py37h89c1867_5
- python=3.7.12=hb7a2778_100_cpython
- python_abi=3.7=2_cp37m
- pytorch=1.11.0=cuda112py37hfcfbd4c_202
- pytorch-mutex=1.0=cuda
- readline=8.1.2=h0f457ee_0
- requests=2.28.1=pyhd8ed1ab_1
- setuptools=65.4.1=pyhd8ed1ab_0
- sleef=3.5.1=h9b69904_2
- sqlite=3.39.4=h4ff8645_0
- tbb=2021.6.0=h924138e_0
- tk=8.6.12=h27826a3_0
- torchaudio=0.11.0=py37_cu113
- torchvision=0.12.0=cuda112py37h2554b7b_0
- traitlets=5.4.0=pyhd8ed1ab_0
- urllib3=1.26.11=pyhd8ed1ab_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- wheel=0.37.1=pyhd8ed1ab_0
- x264=1!161.3030=h7f98852_1
- xorg-libxau=1.0.9=h7f98852_0
- xorg-libxdmcp=1.1.3=h7f98852_0
- xz=5.2.6=h166bdaf_0
- zlib=1.2.12=h166bdaf_4
- zstd=1.5.2=h6239696_4
- pip:
- aiohttp==3.8.3
- aiosignal==1.3.1
- amrlib==0.7.1
- async-timeout==4.0.2
- asynctest==0.13.0
- attrs==22.1.0
- blis==0.7.9
- cached-property==1.5.2
- catalogue==2.0.8
- click==8.1.3
- colorama==0.4.6
- confection==0.0.3
- cycler==0.11.0
- cymem==2.0.7
- datasets==2.7.0
- dill==0.3.6
- evaluate==0.3.0
- filelock==3.8.0
- fonttools==4.38.0
- frozenlist==1.3.3
- fsspec==2022.11.0
- huggingface-hub==0.10.0
- importlib-metadata==5.0.0
- jinja2==3.1.2
- joblib==1.2.0
- kiwisolver==1.4.4
- langcodes==3.3.0
- lxml==4.9.1
- markupsafe==2.1.1
- matplotlib==3.5.3
- multidict==6.0.2
- multiprocess==0.70.14
- murmurhash==1.0.9
- networkx==2.6.3
- nltk==3.7
- packaging==21.3
- pandas==1.3.5
- pathy==0.6.2
- penman==1.2.2
- portalocker==2.6.0
- preshed==3.0.8
- protobuf==3.20.1
- pyarrow==10.0.0
- pydantic==1.10.2
- pyparsing==3.0.9
- python-dateutil==2.8.2
- python-graphviz==0.20.1
- pytz==2022.6
- pyyaml==6.0
- regex==2022.9.13
- responses==0.18.0
- sacremoses==0.0.53
- sentencepiece==0.1.96
- six==1.16.0
- smart-open==5.2.1
- smatch==1.0.4
- spacy==3.4.2
- spacy-legacy==3.0.10
- spacy-loggers==1.0.3
- srsly==2.4.5
- tabulate==0.9.0
- tensorboardx==2.5.1
- thinc==8.1.5
- tokenizers==0.12.1
- tqdm==4.64.1
- transformers==4.18.0
- typer==0.4.2
- typing-extensions==4.1.1
- unidecode==1.3.6
- wasabi==0.10.1
- xxhash==3.1.0
- yarl==1.8.1
- zipp==3.8.1
prefix: /home/ihunghsu/miniconda3/envs/Ampere