conda根据yml创建环境报错：ResolvePackageNotFound

1.问题产生原因

在跑别人深度学习代码时，根据需求创建conda环境，如下：

yml内容是：

name: pointdsc
channels:
  - pytorch
  - open3d-admin
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - absl-py=0.9.0=py37hc8dfbb8_1
  - argon2-cffi=20.1.0=py37h7b6447c_1
  - attrs=19.3.0=py_0
  - backcall=0.2.0=py_0
  - blas=1.0=mkl
  - bleach=3.1.5=py_0
  - blinker=1.4=py_1
  - brotlipy=0.7.0=py37h8f50634_1000
  - c-ares=1.16.1=h516909a_0
  - ca-certificates=2020.6.20=hecda079_0
  - cachetools=4.1.1=py_0
  - certifi=2020.6.20=py37hc8dfbb8_0
  - cffi=1.14.1=py37he30daa8_0
  - chardet=3.0.4=py37hc8dfbb8_1006
  - click=7.1.2=pyh9f0ad1d_0
  - cryptography=3.0=py37hb09aad4_0
  - cudatoolkit=10.1.243=h6bb024c_0
  - decorator=4.4.2=py_0
  - defusedxml=0.6.0=py_0
  - entrypoints=0.3=py37_0
  - freetype=2.10.2=h5ab3b9f_0
  - google-auth=1.20.1=py_0
  - google-auth-oauthlib=0.4.1=py_2
  - grpcio=1.31.0=py37hb0870dc_0
  - idna=2.10=pyh9f0ad1d_0
  - importlib-metadata=1.7.0=py37_0
  - importlib_metadata=1.7.0=0
  - intel-openmp=2020.1=217
  - ipykernel=5.3.4=py37h5ca1d4c_0
  - ipython=7.17.0=py37h39e3cac_0
  - ipython_genutils=0.2.0=py37_0
  - ipywidgets=7.5.1=py_0
  - jedi=0.17.2=py37_0
  - jinja2=2.11.2=py_0
  - joblib=0.16.0=py_0
  - jpeg=9b=h024ee3a_2
  - jsonschema=3.2.0=py37_1
  - jupyter_client=6.1.6=py_0
  - jupyter_core=4.6.3=py37_0
  - lcms2=2.11=h396b838_0
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libedit=3.1.20191231=h14c3975_1
  - libffi=3.3=he6710b0_2
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hbc83047_0
  - libprotobuf=3.12.4=h8b12597_0
  - libsodium=1.0.18=h7b6447c_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_1
  - lz4-c=1.9.2=he6710b0_1
  - markdown=3.2.2=py_0
  - markupsafe=1.1.1=py37h14c3975_1
  - mistune=0.8.4=py37h14c3975_1001
  - mkl=2020.1=217
  - mkl-service=2.3.0=py37he904b0f_0
  - mkl_fft=1.1.0=py37h23d657b_0
  - mkl_random=1.1.1=py37h0573a6f_0
  - nbconvert=5.6.1=py37_1
  - nbformat=5.0.7=py_0
  - ncurses=6.2=he6710b0_1
  - ninja=1.10.0=py37hfd86e86_0
  - notebook=6.1.1=py37_0
  - numpy=1.19.1=py37hbc911f0_0
  - numpy-base=1.19.1=py37hfa32c7d_0
  - oauthlib=3.0.1=py_0
  - olefile=0.46=py37_0
  - open3d=0.9.0.0=py37_0
  - openssl=1.1.1g=h516909a_1
  - packaging=20.4=py_0
  - pandoc=2.10=0
  - pandocfilters=1.4.2=py37_1
  - parso=0.7.0=py_0
  - pexpect=4.8.0=py37_1
  - pickleshare=0.7.5=py37_1001
  - pillow=7.2.0=py37hb39fc2d_0
  - pip=20.2.1=py37_0
  - prometheus_client=0.8.0=py_0
  - prompt-toolkit=3.0.5=py_0
  - protobuf=3.12.4=py37h3340039_0
  - ptyprocess=0.6.0=py37_0
  - pyasn1=0.4.8=py_0
  - pyasn1-modules=0.2.7=py_0
  - pycparser=2.20=py_2
  - pygments=2.6.1=py_0
  - pyjwt=1.7.1=py_0
  - pyopenssl=19.1.0=py_1
  - pyparsing=2.4.7=py_0
  - pyrsistent=0.16.0=py37h7b6447c_0
  - pysocks=1.7.1=py37hc8dfbb8_1
  - python=3.7.7=hcff3b4d_5
  - python-dateutil=2.8.1=py_0
  - python_abi=3.7=1_cp37m
  - pytorch=1.6.0=py3.7_cuda10.1.243_cudnn7.6.3_0
  - pyzmq=19.0.1=py37he6710b0_1
  - readline=8.0=h7b6447c_0
  - requests=2.24.0=pyh9f0ad1d_0
  - requests-oauthlib=1.3.0=pyh9f0ad1d_0
  - rsa=4.6=pyh9f0ad1d_0
  - scikit-learn=0.23.1=py37h423224d_0
  - scipy=1.5.0=py37h0b6359f_0
  - send2trash=1.5.0=py37_0
  - setuptools=49.3.1=py37_0
  - six=1.15.0=py_0
  - sqlite=3.32.3=h62c20be_0
  - tensorboard=2.3.0=py_0
  - tensorboard-plugin-wit=1.6.0=pyh9f0ad1d_0
  - tensorboardx=2.1=py_0
  - terminado=0.8.3=py37_0
  - testpath=0.4.4=py_0
  - threadpoolctl=2.1.0=pyh5ca1d4c_0
  - tk=8.6.10=hbc83047_0
  - torchvision=0.7.0=py37_cu101
  - tornado=6.0.4=py37h7b6447c_1
  - traitlets=4.3.3=py37_0
  - urllib3=1.25.10=py_0
  - wcwidth=0.2.5=py_0
  - webencodings=0.5.1=py37_1
  - werkzeug=1.0.1=pyh9f0ad1d_0
  - wheel=0.34.2=py37_0
  - widgetsnbextension=3.5.1=py37_0
  - xz=5.2.5=h7b6447c_0
  - zeromq=4.3.2=he6710b0_2
  - zipp=3.1.0=py_0
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.4.5=h9ceee32_0
  - pip:
    - easydict==1.9
    - tqdm==4.48.2
prefix: /home/altizure/anaconda3/envs/pointdsc

2.报错形式

 最初以为是 源的问题，换了各种源都不行，原来是把第二个等号后的内容删除掉就可以了(包括第二个等号)，但是删除后大概率还会报这样的错：

 3.解决策略

把上面那张图里报错的包移到yml文件中pip下就可以了，如图：