Anaconda 不可满足错误：发现以下规范彼此不兼容：_Anaconda_Conda

Anaconda 不可满足错误：发现以下规范彼此不兼容：

anaconda

Anaconda 不可满足错误：发现以下规范彼此不兼容：,anaconda,conda,Anaconda,Conda,我在Ubuntu 16.04上运行，我遇到了Anaconda的问题。由于软件包不一致，我无法再安装、更新或删除软件包 $ conda info NVIDIA: no NVIDIA devices found active environment : None shell level : 0 user config file : /home/ubuntu/.condarc populated config files : /home/ubun

我在Ubuntu 16.04上运行，我遇到了Anaconda的问题。由于软件包不一致，我无法再安装、更新或删除软件包

$ conda info
NVIDIA: no NVIDIA devices found

     active environment : None 
            shell level : 0
       user config file : /home/ubuntu/.condarc
 populated config files : /home/ubuntu/.condarc
          conda version : 4.7.5
    conda-build version : 3.2.2
         python version : 2.7.15.final.0
       virtual packages : 
       base environment : /home/ubuntu/anaconda  (writable)
           channel URLs : https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /home/ubuntu/anaconda/pkgs
                          /home/ubuntu/.conda/pkgs
       envs directories : /home/ubuntu/anaconda/envs
                          /home/ubuntu/.conda/envs
               platform : linux-64
             user-agent : conda/4.7.5 requests/2.21.0 CPython/2.7.15 Linux/4.4.0-161-generic ubuntu/16.04.6 glibc/2.23
                UID:GID : 1000:1000
             netrc file : None 
           offline mode : False

我尝试了本期中的所有建议，但均无效：

也

例如-

以下是完整的输出：

buntu@ip-10-0-1-71:~/clamav-devel$ conda list gxx_impl_linux-64   
# packages in environment at /home/ubuntu/anaconda:
#
# Name                    Version                   Build  Channel 
gxx_impl_linux-64         7.3.0                hdf63c60_1
ubuntu@ip-10-0-1-71:~/clamav-devel$ conda install gxx_impl_linux-64
WARNING conda.base.context:use_only_tar_bz2(632): Conda is constrained to only using the old .tar.bz2 file format because you have conda-build installed, and it is <3.18.3.  Update or remove conda-build t
o get smaller downloads and faster extractions.
Collecting package metadata (repodata.json): - NVIDIA: no NVIDIA devices founddone
Solving environment: /
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:                         -
  - conda-forge/linux-64::zstd==1.4.0=h3b9ef0a_0
  - https://repo.continuum.io/pkgs/free/linux-64::binstar==0.11.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sphinx_rtd_theme==0.1.9=py27_0
  - featuretools/linux-64::featuretools==0.3.0=np111py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::xlsxwriter==0.8.4=py27_0
  - defaults/linux-64::gxx_impl_linux-64==7.3.0=hdf63c60_1
  - defaults/linux-64::cffi==1.11.5=py27he75722e_1
  - defaults/linux-64::curl==7.62.0=hbc83047_0
  - defaults/linux-64::h5py==2.8.0=py27h989c5e5_3
  - defaults/linux-64::absl-py==0.6.1=py27_0
  - defaults/linux-64::jupyterlab_launcher==0.11.2=py27h28b3542_0  
  - https://repo.continuum.io/pkgs/free/linux-64::pyflakes==1.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::unicodecsv==0.14.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sqlalchemy==1.0.12=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::xlwt==1.0.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::spyder==2.3.8=py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::clyent==1.2.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::contextlib2==0.5.4=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::flask-cors==2.1.2=py27_0
  - defaults/linux-64::tensorboard==1.12.0=py27hf484d3e_0
  - https://repo.anaconda.com/pkgs/free/linux-64::pycurl==7.19.0=py27_0
  - defaults/linux-64::gcc_linux-64==7.3.0=h553295d_3
  - defaults/linux-64::libxml2==2.9.9=hea5a465_1
  - defaults/linux-64::networkx==2.2=py27_1
  - defaults/linux-64::cytoolz==0.9.0=py27h14c3975_0
  - https://repo.continuum.io/pkgs/free/linux-64::ipython-notebook==4.0.4=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::bcolz==1.0.0=py27_0
  - defaults/linux-64::distributed==1.23.1=py27_0
  - defaults/linux-64::sortedcontainers==2.0.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::mistune==0.7.2=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::chest==0.2.3=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::beautifulsoup4==4.4.1=py27_0
  - defaults/linux-64::future==0.16.0=py27_2
  - <unknown>/linux-64::docutils==0.12=py27_0
  - defaults/linux-64::nose==1.3.7=py27_2
  - defaults/linux-64::numpy==1.14.2=py27hdbf6ddf_0
  - conda-forge/linux-64::lz4-c==1.8.3=he1b5a44_1001
  - <unknown>/linux-64::runipy==0.1.3=py27_0
  - <unknown>/linux-64::itsdangerous==0.24=py27_0
  - defaults/linux-64::futures==3.2.0=py27_0
  - defaults/linux-64::toolz==0.9.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::gevent==1.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::jinja2==2.8=py27_0
  - defaults/linux-64::libgcc-ng==8.2.0=hdf63c60_1
  - <unknown>/linux-64::ssl_match_hostname==3.4.0.2=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::pytz==2016.2=py27_0
  - conda-forge/linux-64::jupyter_contrib_core==0.3.3=py27_0
  - defaults/linux-64::asn1crypto==0.24.0=py27_0
  - defaults/linux-64::keras-preprocessing==1.0.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::scikit-learn==0.18.1=np111py27_nomkl_1
 https://repo.continuum.io/pkgs/free/linux-64::alabaster==0.7.7=py27_0
  - defaults/linux-64::pysocks==1.6.8=py27_0
  - conda-forge/linux-64::subprocess32==3.2.7=py27_0
  - conda-forge/linux-64::audioread==2.1.4=py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::ptyprocess==0.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::ipython_genutils==0.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::mpmath==0.19=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::traitlets==4.2.1=py27_0
  - conda-forge/linux-64::nltk==3.2.4=py27_0
  - defaults/linux-64::python==2.7.15=h9bab390_4
  - https://repo.continuum.io/pkgs/free/linux-64::datashape==0.5.1=py27_0
  - anaconda/linux-64::joblib==0.13.0=py27_0
  - defaults/linux-64::scipy==1.1.0=py27h7c811a0_2
  - defaults/linux-64::partd==0.3.8=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::ipaddress==1.0.14=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::blaze==0.9.1=py27_0
  - conda-forge/linux-64::scikit-image==0.12.3=np111py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::greenlet==0.4.9=py27_0
  - defaults/linux-64::ncurses==6.1=hf484d3e_0
  - https://repo.continuum.io/pkgs/free/linux-64::qt==4.8.7=1
  - defaults/linux-64::werkzeug==0.14.1=py27_0
  - defaults/linux-64::gast==0.2.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::ruamel_yaml==0.11.14=py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::ply==3.8=py27_0  
  - defaults/linux-64::plotly==3.4.2=py27h28b3542_0
  - https://repo.continuum.io/pkgs/free/linux-64::abstract-rendering==0.5.1=np111py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::pyasn1==0.1.9=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::markdown==2.6.9=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::mako==1.0.6=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::html5lib==0.9999999=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::openpyxl==2.3.2=py27_0
  - conda-forge/linux-64::statsmodels==0.8.0=np111py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::six==1.10.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::lxml==3.6.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sympy==1.0=py27_0
  - defaults/linux-64::c-ares==1.15.0=h7b6447c_1
  - <unknown>/linux-64::py2cairo==1.10.0=py27_2
  - defaults/linux-64::decorator==4.3.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::multipledispatch==0.4.8=py27_0
  - defaults/linux-64::s3transfer==0.1.13=py27_0
  - defaults/linux-64::pympler==0.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::pycparser==2.14=py27_0
  - <unknown>/linux-64::markupsafe==0.23=py27_0
  - defaults/linux-64::flask==0.12.2=py27h6d5c1cd_0
  - <unknown>/linux-64::rope==0.9.4=py27_1
  - conda-forge/linux-64::jupyter_nbextensions_configurator==0.2.7=py27_0
  - defaults/linux-64::conda-build==3.2.2=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::spyder-app==2.3.8=py27_0
  - conda-forge/linux-64::pytables==3.3.0=np111py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::argcomplete==1.0.0=py27_1
  - conda-forge/linux-64::xz==5.2.4=h14c3975_1001
  - defaults/linux-64::pycosat==0.6.3=py27ha4109ae_0
  - https://repo.continuum.io/pkgs/free/linux-64::snowballstemmer==1.2.1=py27_0
  - defaults/linux-64::sqlite==3.25.3=h7b6447c_0
  - defaults/linux-64::unittest2==1.1.0=py27_0
  - defaults/linux-64::zict==0.1.3=py27_0
  - defaults/linux-64::backports==1.0=py27h63c9359_1
  - https://repo.continuum.io/pkgs/free/linux-64::ipython==4.1.2=py27_1
  - conda-forge/linux-64::resampy==0.1.5=np111py27_1
  - defaults/linux-64::jupyter==1.0.0=py27_7
  - https://repo.continuum.io/pkgs/free/linux-64::jupyter_core==4.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sockjs-tornado==1.0.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::singledispatch==3.4.0.3=py27_0
- conda-forge/linux-64::resampy==0.1.5=np111py27_1
  - defaults/linux-64::jupyter==1.0.0=py27_7
  - https://repo.continuum.io/pkgs/free/linux-64::jupyter_core==4.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sockjs-tornado==1.0.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::singledispatch==3.4.0.3=py27_0
  - conda-forge/linux-64::openssl==1.1.1b=h14c3975_1
  - https://conda.binstar.org/auto/linux-64::libpgm==1.2=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::backports.weakref==1.0rc1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::filelock==2.0.7=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::conda-manager==0.3.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::numexpr==2.6.2=np111py27_nomkl_0
  - conda-forge/linux-64::zeromq==4.2.5=hfc679d8_4
  - defaults/linux-64::libffi==3.2.1=hd88cf55_4
  - defaults/linux-64::hdf5==1.10.2=hba1933b_1
  - https://repo.continuum.io/pkgs/free/linux-64::py4j==0.10.6=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::fontconfig==2.11.1=5
  - conda-forge/linux-64::patsy==0.4.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::psutil==4.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sphinx==1.3.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::babel==2.2.0=py27_0
  - defaults/linux-64::pygpu==0.7.6=py27h035aef0_0
  - conda-forge/linux-64::python-libarchive-c==2.8=py27_1004
  - defaults/linux-64::libssh2==1.8.0=h1ba5d50_4
  - <unknown>/linux-64::beautiful-soup==4.3.2=py27_0
  - defaults/linux-64::tensorflow-base==1.12.0=mkl_py27h3c3e929_0  
  - defaults/linux-64::click==6.7=py27h4225b90_0
  - defaults/linux-64::linecache2==1.0.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::locket==0.2.0=py27_0
  - conda-forge/linux-64::conda==4.7.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::qtawesome==0.3.2=py27_0
  - defaults/linux-64::cloudpickle==0.5.5=py27_0
  - defaults/linux-64::cython==0.28.5=py27hf484d3e_0
  - https://repo.continuum.io/pkgs/free/linux-64::terminado==0.5=py27_1
  - defaults/linux-64::cryptography==2.4.1=py27h1ba5d50_0
  - defaults/linux-64::pyyaml==3.12=py27h2d70dd7_1
  - https://repo.continuum.io/pkgs/free/linux-64::heapdict==1.0.0=py27_0
  - defaults/linux-64::grpcio==1.16.1=py27hf8bcb03_1
  - defaults/linux-64::traceback2==1.4.0=py27_0
  - defaults/linux-64::astor==0.7.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::pyqt==4.11.4=py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::wheel==0.29.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::dill==0.2.4=py27_0
  - defaults/linux-64::mkl-service==1.1.2=py27he904b0f_5
  - https://repo.continuum.io/pkgs/free/linux-64::py==1.4.31=py27_0
  - <unknown>/linux-64::redis-py==2.10.3=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::anaconda-navigator==1.1.0=py27_0
  - defaults/linux-64::zlib==1.2.11=ha838bed_2
  - defaults/linux-64::tblib==1.3.2=py27h51fe5ba_0
  - https://repo.continuum.io/pkgs/free/linux-64::simplegeneric==0.8.1=py27_0
  - conda-forge/linux-64::libsodium==1.0.16=h470a237_1
  - defaults/linux-64::s3fs==0.1.6=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sip==4.16.9=py27_0
  - defaults/linux-64::libprotobuf==3.6.1=hd408876_0
  - https://repo.continuum.io/pkgs/free/linux-64::pyspark==2.2.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::bleach==1.5.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::python-dateutil==2.5.1=py27_0
...

buntu@ip-10-0-1-71:~/clamav-devel$conda list gxx\u impl\u linux-64
#在/home/ubuntu/anaconda环境中的包：
#
#名称版本生成通道
gxx_impl_linux-64 7.3.0 hdf63c60_1
ubuntu@ip-10-0-1-71:~/clamav-devel$conda安装gxx\u impl\u linux-64
警告conda.base.context:use_only_tar_bz2（632）：conda被限制为仅使用旧的.tar.bz2文件格式，因为您安装了conda build，并且它是=13']
笔记本==5.7.8=py36_0->pyzmq[版本='>=17']
包mkl冲突用于：
mkl_fft==1.0.10=py36_0->mkl
pytorch==0.4.0=py36hdf912b8_0->mkl[版本='>=2018.0.2，=1.35']
包jinja2冲突用于：
笔记本==5.7.8=py36_0->jinja2
nbconvert==5.5.0=py_0->jinja2
程序包冲突：
keras基准==2.2.4=py36_0->h5py
程序包冲突，用于：
pyzmq==17.0.0=py36h14c3975_0->LibNa
zeromq==4.2.5=h439df22_0->libnaude[版本='>=1.0.16，=1.0.5']
tensorflow==1.13.1=py36_0->keras预处理[版本='>=1.0.5']
包哈希冲突用于：
spacy==2.0.12=py36h962f231_0->杂音杂音[版本='>=0.28，=7，=7，=7，=3.0.0']
tensorflow==1.13.1=py36_0->protobuf[版本='>=3.6.1']
tensorflow张力板==1.5.1=py36hf484d3e_1->protobuf
tensorboard==1.13.1=py36_0->protobuf[版本='>=3.4.0']
包tk冲突用于：
python==3.6.7=h0371630_0->tk[版本='>=8.6.8，=1.0.6']
tensorflow==1.13.1=py36_0->keras应用程序[版本='>=1.0.6']
包忍者冲突：
pytorch==0.4.0=py36hdf912b8_0->忍者
包请求冲突：
spacy==2.0.12=py36h962f231_0->请求[版本='>=2.13.0，=1.13.2，=1.12.2，=1.4.1']
包liblapacke冲突用于：
libblas==3.8.0=7_openblas->liblapacke==3.8.0=7_openblas
libcblas==3.8.0=7_openblas->liblapacke==3.8.0=7_openblas
liblapack==3.8.0=7_openblas->liblapack==3.8.0=7_openblas
blas==2.7=openblas->liblapacke==3.8.0=7openblas
包ptyprocess冲突用于：
pexpect==4.6.0=py36_0->ptyprocess[版本='>=0.5']
terminado==0.8.1=py36_1->ptyprocess
包格式冲突：
nbconvert==5.5.0=py_0->nbformat[版本='>=4.4']
笔记本==5.7.8=py36_0->nbformat
包_libgcc_互斥冲突用于：
libgcc ng==8.2.0=hdf63c60\u 1->\u libgcc\u互斥体=[build=main]
包cudnn冲突用于：
公共英语n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n 7.1.2.2.2.2.2.2.3，3，，，nn n n n n n n n n n n n n，，，=0 0.9.9.6，，=0 0.6，，=1.6，=1.6，=1.6，=1，=1.6，=1.6，=1，=1.6，=1.6，=1.6，=1.6，=1.6，=1.6，=1.6，=1.6，=1，=1，=1.6.32、=1.6.34、=1.6.23、=1.6.27、=1.6.32、=1.6.34、=4.0']->freetype[version='2.7 | 2.7.*，>=2.8、=2.9.1、=1.6.23、=1.6.27、=1.6.32、=1.6.34、=1.4.3']->pyqt[version='4.*，5.*，5.6.*，5.9.*，>=5.9.2，=4.8.6，=5.6.2，=1.40.14，=1.42.4，=1.7.6，=1.7.6，=1.9.0，=2.4.0，=1.14.12.12，=1.16.0，=2.12.4，=2.13.1，=2.8，=2.9.1，=2.1.9.1，=1.6.23，=1.32，=1.34，=1.6'>2.8、=2.4.0、=1.14.12、=1.14.12、=1.14.12、=1.14.12、=1.14.12、=1.14.12.12、=1.16.12、=1.12.4.4、=1.12.4.4、=1.4.4.4、=1.14.12、=1.14.12.0、=1.12.4、=1.12.4、=2.12.4、=2.12.12.4、=2.4、=2.12.4、=2.12.12.4、=2.4、=2.12.12.4、=2.12.4、=2.4、=2.12.12.12.12.4、=2.4、=2.4、=2.12.12.12.4、=2.12.4、=2.12.4、=2.12.12.4、=2最终，我的Anaconda“ai”环境和我的基础环境之间的冲突
无法解决。我必须删除~/anaconda，从头开始重新安装，然后手动重新安装所有软件包。
谢谢您的“解决方法”，希望Anaconda团队能很快解决：对不起，我很困惑，为什么重新安装anacoda会有帮助？您介意添加更多关于您所做工作的详细信息吗？如果问题是您正在尝试安装pytorch，请尝试添加conda forge频道，例如，conda安装-y pytorch torchvision torchaudio-c pytorch-c conda forge
buntu@ip-10-0-1-71:~/clamav-devel$ conda list gxx_impl_linux-64   
# packages in environment at /home/ubuntu/anaconda:
#
# Name                    Version                   Build  Channel 
gxx_impl_linux-64         7.3.0                hdf63c60_1
ubuntu@ip-10-0-1-71:~/clamav-devel$ conda install gxx_impl_linux-64
WARNING conda.base.context:use_only_tar_bz2(632): Conda is constrained to only using the old .tar.bz2 file format because you have conda-build installed, and it is <3.18.3.  Update or remove conda-build t
o get smaller downloads and faster extractions.
Collecting package metadata (repodata.json): - NVIDIA: no NVIDIA devices founddone
Solving environment: /
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:                         -
  - conda-forge/linux-64::zstd==1.4.0=h3b9ef0a_0
  - https://repo.continuum.io/pkgs/free/linux-64::binstar==0.11.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sphinx_rtd_theme==0.1.9=py27_0
  - featuretools/linux-64::featuretools==0.3.0=np111py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::xlsxwriter==0.8.4=py27_0
  - defaults/linux-64::gxx_impl_linux-64==7.3.0=hdf63c60_1
  - defaults/linux-64::cffi==1.11.5=py27he75722e_1
  - defaults/linux-64::curl==7.62.0=hbc83047_0
  - defaults/linux-64::h5py==2.8.0=py27h989c5e5_3
  - defaults/linux-64::absl-py==0.6.1=py27_0
  - defaults/linux-64::jupyterlab_launcher==0.11.2=py27h28b3542_0  
  - https://repo.continuum.io/pkgs/free/linux-64::pyflakes==1.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::unicodecsv==0.14.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sqlalchemy==1.0.12=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::xlwt==1.0.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::spyder==2.3.8=py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::clyent==1.2.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::contextlib2==0.5.4=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::flask-cors==2.1.2=py27_0
  - defaults/linux-64::tensorboard==1.12.0=py27hf484d3e_0
  - https://repo.anaconda.com/pkgs/free/linux-64::pycurl==7.19.0=py27_0
  - defaults/linux-64::gcc_linux-64==7.3.0=h553295d_3
  - defaults/linux-64::libxml2==2.9.9=hea5a465_1
  - defaults/linux-64::networkx==2.2=py27_1
  - defaults/linux-64::cytoolz==0.9.0=py27h14c3975_0
  - https://repo.continuum.io/pkgs/free/linux-64::ipython-notebook==4.0.4=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::bcolz==1.0.0=py27_0
  - defaults/linux-64::distributed==1.23.1=py27_0
  - defaults/linux-64::sortedcontainers==2.0.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::mistune==0.7.2=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::chest==0.2.3=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::beautifulsoup4==4.4.1=py27_0
  - defaults/linux-64::future==0.16.0=py27_2
  - <unknown>/linux-64::docutils==0.12=py27_0
  - defaults/linux-64::nose==1.3.7=py27_2
  - defaults/linux-64::numpy==1.14.2=py27hdbf6ddf_0
  - conda-forge/linux-64::lz4-c==1.8.3=he1b5a44_1001
  - <unknown>/linux-64::runipy==0.1.3=py27_0
  - <unknown>/linux-64::itsdangerous==0.24=py27_0
  - defaults/linux-64::futures==3.2.0=py27_0
  - defaults/linux-64::toolz==0.9.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::gevent==1.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::jinja2==2.8=py27_0
  - defaults/linux-64::libgcc-ng==8.2.0=hdf63c60_1
  - <unknown>/linux-64::ssl_match_hostname==3.4.0.2=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::pytz==2016.2=py27_0
  - conda-forge/linux-64::jupyter_contrib_core==0.3.3=py27_0
  - defaults/linux-64::asn1crypto==0.24.0=py27_0
  - defaults/linux-64::keras-preprocessing==1.0.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::scikit-learn==0.18.1=np111py27_nomkl_1
 https://repo.continuum.io/pkgs/free/linux-64::alabaster==0.7.7=py27_0
  - defaults/linux-64::pysocks==1.6.8=py27_0
  - conda-forge/linux-64::subprocess32==3.2.7=py27_0
  - conda-forge/linux-64::audioread==2.1.4=py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::ptyprocess==0.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::ipython_genutils==0.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::mpmath==0.19=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::traitlets==4.2.1=py27_0
  - conda-forge/linux-64::nltk==3.2.4=py27_0
  - defaults/linux-64::python==2.7.15=h9bab390_4
  - https://repo.continuum.io/pkgs/free/linux-64::datashape==0.5.1=py27_0
  - anaconda/linux-64::joblib==0.13.0=py27_0
  - defaults/linux-64::scipy==1.1.0=py27h7c811a0_2
  - defaults/linux-64::partd==0.3.8=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::ipaddress==1.0.14=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::blaze==0.9.1=py27_0
  - conda-forge/linux-64::scikit-image==0.12.3=np111py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::greenlet==0.4.9=py27_0
  - defaults/linux-64::ncurses==6.1=hf484d3e_0
  - https://repo.continuum.io/pkgs/free/linux-64::qt==4.8.7=1
  - defaults/linux-64::werkzeug==0.14.1=py27_0
  - defaults/linux-64::gast==0.2.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::ruamel_yaml==0.11.14=py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::ply==3.8=py27_0  
  - defaults/linux-64::plotly==3.4.2=py27h28b3542_0
  - https://repo.continuum.io/pkgs/free/linux-64::abstract-rendering==0.5.1=np111py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::pyasn1==0.1.9=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::markdown==2.6.9=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::mako==1.0.6=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::html5lib==0.9999999=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::openpyxl==2.3.2=py27_0
  - conda-forge/linux-64::statsmodels==0.8.0=np111py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::six==1.10.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::lxml==3.6.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sympy==1.0=py27_0
  - defaults/linux-64::c-ares==1.15.0=h7b6447c_1
  - <unknown>/linux-64::py2cairo==1.10.0=py27_2
  - defaults/linux-64::decorator==4.3.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::multipledispatch==0.4.8=py27_0
  - defaults/linux-64::s3transfer==0.1.13=py27_0
  - defaults/linux-64::pympler==0.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::pycparser==2.14=py27_0
  - <unknown>/linux-64::markupsafe==0.23=py27_0
  - defaults/linux-64::flask==0.12.2=py27h6d5c1cd_0
  - <unknown>/linux-64::rope==0.9.4=py27_1
  - conda-forge/linux-64::jupyter_nbextensions_configurator==0.2.7=py27_0
  - defaults/linux-64::conda-build==3.2.2=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::spyder-app==2.3.8=py27_0
  - conda-forge/linux-64::pytables==3.3.0=np111py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::argcomplete==1.0.0=py27_1
  - conda-forge/linux-64::xz==5.2.4=h14c3975_1001
  - defaults/linux-64::pycosat==0.6.3=py27ha4109ae_0
  - https://repo.continuum.io/pkgs/free/linux-64::snowballstemmer==1.2.1=py27_0
  - defaults/linux-64::sqlite==3.25.3=h7b6447c_0
  - defaults/linux-64::unittest2==1.1.0=py27_0
  - defaults/linux-64::zict==0.1.3=py27_0
  - defaults/linux-64::backports==1.0=py27h63c9359_1
  - https://repo.continuum.io/pkgs/free/linux-64::ipython==4.1.2=py27_1
  - conda-forge/linux-64::resampy==0.1.5=np111py27_1
  - defaults/linux-64::jupyter==1.0.0=py27_7
  - https://repo.continuum.io/pkgs/free/linux-64::jupyter_core==4.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sockjs-tornado==1.0.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::singledispatch==3.4.0.3=py27_0
- conda-forge/linux-64::resampy==0.1.5=np111py27_1
  - defaults/linux-64::jupyter==1.0.0=py27_7
  - https://repo.continuum.io/pkgs/free/linux-64::jupyter_core==4.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sockjs-tornado==1.0.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::singledispatch==3.4.0.3=py27_0
  - conda-forge/linux-64::openssl==1.1.1b=h14c3975_1
  - https://conda.binstar.org/auto/linux-64::libpgm==1.2=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::backports.weakref==1.0rc1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::filelock==2.0.7=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::conda-manager==0.3.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::numexpr==2.6.2=np111py27_nomkl_0
  - conda-forge/linux-64::zeromq==4.2.5=hfc679d8_4
  - defaults/linux-64::libffi==3.2.1=hd88cf55_4
  - defaults/linux-64::hdf5==1.10.2=hba1933b_1
  - https://repo.continuum.io/pkgs/free/linux-64::py4j==0.10.6=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::fontconfig==2.11.1=5
  - conda-forge/linux-64::patsy==0.4.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::psutil==4.1.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sphinx==1.3.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::babel==2.2.0=py27_0
  - defaults/linux-64::pygpu==0.7.6=py27h035aef0_0
  - conda-forge/linux-64::python-libarchive-c==2.8=py27_1004
  - defaults/linux-64::libssh2==1.8.0=h1ba5d50_4
  - <unknown>/linux-64::beautiful-soup==4.3.2=py27_0
  - defaults/linux-64::tensorflow-base==1.12.0=mkl_py27h3c3e929_0  
  - defaults/linux-64::click==6.7=py27h4225b90_0
  - defaults/linux-64::linecache2==1.0.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::locket==0.2.0=py27_0
  - conda-forge/linux-64::conda==4.7.5=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::qtawesome==0.3.2=py27_0
  - defaults/linux-64::cloudpickle==0.5.5=py27_0
  - defaults/linux-64::cython==0.28.5=py27hf484d3e_0
  - https://repo.continuum.io/pkgs/free/linux-64::terminado==0.5=py27_1
  - defaults/linux-64::cryptography==2.4.1=py27h1ba5d50_0
  - defaults/linux-64::pyyaml==3.12=py27h2d70dd7_1
  - https://repo.continuum.io/pkgs/free/linux-64::heapdict==1.0.0=py27_0
  - defaults/linux-64::grpcio==1.16.1=py27hf8bcb03_1
  - defaults/linux-64::traceback2==1.4.0=py27_0
  - defaults/linux-64::astor==0.7.1=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::pyqt==4.11.4=py27_1
  - https://repo.continuum.io/pkgs/free/linux-64::wheel==0.29.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::dill==0.2.4=py27_0
  - defaults/linux-64::mkl-service==1.1.2=py27he904b0f_5
  - https://repo.continuum.io/pkgs/free/linux-64::py==1.4.31=py27_0
  - <unknown>/linux-64::redis-py==2.10.3=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::anaconda-navigator==1.1.0=py27_0
  - defaults/linux-64::zlib==1.2.11=ha838bed_2
  - defaults/linux-64::tblib==1.3.2=py27h51fe5ba_0
  - https://repo.continuum.io/pkgs/free/linux-64::simplegeneric==0.8.1=py27_0
  - conda-forge/linux-64::libsodium==1.0.16=h470a237_1
  - defaults/linux-64::s3fs==0.1.6=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::sip==4.16.9=py27_0
  - defaults/linux-64::libprotobuf==3.6.1=hd408876_0
  - https://repo.continuum.io/pkgs/free/linux-64::pyspark==2.2.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::bleach==1.5.0=py27_0
  - https://repo.continuum.io/pkgs/free/linux-64::python-dateutil==2.5.1=py27_0
...

1. On Ubuntu 16.06, I tried exporting the ‘base’ and ‘ai’ environments to .yml files, deleted ~/anaconda, reinstalled Anaconda and tried to restore my ‘ai’ environment.
condo complained about hundred of conflicts.

-rwxr-xr-x    1 ubuntu ubuntu 499266771 Sep 11 16:57 Anaconda2-2019.07-Linux-x86_64.sh

$ conda env create -f ai_environment.yml 
NVIDIA: no NVIDIA devices found
Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies.  Conda may not use the correct pip to install your packages, and they may end up in the wrong place.  Please add an explicit pip dependency.  I'm adding one for you, but still nagging you.
Collecting package metadata (repodata.json): / NVIDIA: no NVIDIA devices found
done
Solving environment: - 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
Examining backports.shutil_get_terminal_size:  21%|▏| 65/316 [00:00<00:00, 4464.Examining pyserial:  21%|████▏               | 66/316 [00:00<00:00, 4488.21it/s]Examining jupyter_nbextensions_configurator:  66%|▋| 210/316 [00:00<00:00, 4888.Examining packaging:  67%|████████████      | 211/316 [00:00<00:00, 4900.24it/s]Examining sphinxcontrib-serializinghtml:  88%|▉| 277/316 [00:00<00:00, 4816.54itExamining astor:  88%|███████████████████▎  | 278/316 [00:00<00:00, 4820.70itfailed                                                                             

UnsatisfiableError: The following specifications were found to be incompatible with each other:



Package pyzmq conflicts for:
jupyter_client==5.2.3=py36_0 -> pyzmq[version='>=13']
notebook==5.7.8=py36_0 -> pyzmq[version='>=17']
Package mkl conflicts for:
mkl_fft==1.0.10=py36_0 -> mkl
pytorch==0.4.0=py36hdf912b8_0 -> mkl[version='>=2018.0.2,<2019.0a0']
mkl_random==1.0.2=py36_0 -> mkl
Package ujson conflicts for:
spacy==2.0.12=py36h962f231_0 -> ujson[version='>=1.35']
Package jinja2 conflicts for:
notebook==5.7.8=py36_0 -> jinja2
nbconvert==5.5.0=py_0 -> jinja2
Package h5py conflicts for:
keras-base==2.2.4=py36_0 -> h5py
Package libsodium conflicts for:
pyzmq==17.0.0=py36h14c3975_0 -> libsodium
zeromq==4.2.5=h439df22_0 -> libsodium[version='>=1.0.16,<1.0.17.0a0']
Package keras-preprocessing conflicts for:
keras-base==2.2.4=py36_0 -> keras-preprocessing[version='>=1.0.5']
tensorflow==1.13.1=py36_0 -> keras-preprocessing[version='>=1.0.5']
Package murmurhash conflicts for:
spacy==2.0.12=py36h962f231_0 -> murmurhash[version='>=0.28,<0.29']
Package libgfortran-ng conflicts for:
hdf5==1.10.2=hba1933b_1 -> libgfortran-ng[version='>=7,<8.0a0']
libopenblas==0.3.3=h5a2b251_3 -> libgfortran-ng[version='>=7,<8.0a0']
blas==2.7=openblas -> libgfortran-ng[version='>=7,<8.0a0']
numpy-base==1.16.2=py36h2f8d375_0 -> libgfortran-ng[version='>=7,<8.0a0']
Package protobuf conflicts for:
chainer==4.2.0=py36_0 -> protobuf[version='>=3.0.0']
tensorflow==1.13.1=py36_0 -> protobuf[version='>=3.6.1']
tensorflow-tensorboard==1.5.1=py36hf484d3e_1 -> protobuf
tensorboard==1.13.1=py36_0 -> protobuf[version='>=3.4.0']
Package tk conflicts for:
python==3.6.7=h0371630_0 -> tk[version='>=8.6.8,<8.7.0a0']
Package blas conflicts for:
libcblas==3.8.0=7_openblas -> blas=[build=openblas]
scikit-learn==0.20.3=py36h22eb022_0 -> blas=[build=openblas]
libblas==3.8.0=7_openblas -> blas=[build=openblas]
liblapacke==3.8.0=7_openblas -> blas=[build=openblas]
numpy-base==1.16.2=py36h2f8d375_0 -> blas=[build=openblas]
nomkl==3.0=0 -> blas=[build=openblas]
liblapack==3.8.0=7_openblas -> blas=[build=openblas]
Package keras-applications conflicts for:
keras-base==2.2.4=py36_0 -> keras-applications[version='>=1.0.6']
tensorflow==1.13.1=py36_0 -> keras-applications[version='>=1.0.6']
Package ninja conflicts for:
pytorch==0.4.0=py36hdf912b8_0 -> ninja
Package requests conflicts for:
spacy==2.0.12=py36h962f231_0 -> requests[version='>=2.13.0,<3.0.0']
Package dbus conflicts for:
qt==5.9.7=h5867ecd_1 -> dbus[version='>=1.13.2,<2.0a0']
pyqt==5.9.2=py36h751905a_0 -> dbus[version='>=1.12.2,<2.0a0']
Package pandocfilters conflicts for:
nbconvert==5.5.0=py_0 -> pandocfilters[version='>=1.4.1']
Package liblapacke conflicts for:
libblas==3.8.0=7_openblas -> liblapacke==3.8.0=7_openblas
libcblas==3.8.0=7_openblas -> liblapacke==3.8.0=7_openblas
liblapack==3.8.0=7_openblas -> liblapacke==3.8.0=7_openblas
blas==2.7=openblas -> liblapacke==3.8.0=7_openblas
Package ptyprocess conflicts for:
pexpect==4.6.0=py36_0 -> ptyprocess[version='>=0.5']
terminado==0.8.1=py36_1 -> ptyprocess
Package nbformat conflicts for:
nbconvert==5.5.0=py_0 -> nbformat[version='>=4.4']
notebook==5.7.8=py36_0 -> nbformat
Package _libgcc_mutex conflicts for:
libgcc-ng==8.2.0=hdf63c60_1 -> _libgcc_mutex=[build=main]
Package cudnn conflicts for:
pytorch==0.4.0=py36hdf912b8_0 -> cudnn[version='>=7.1.2,<=8.0a0']
Package zeromq conflicts for:
pyzmq==17.0.0=py36h14c3975_0 -> zeromq[version='>=4.2.3,<4.3']
Package pygments conflicts for:
prompt_toolkit==2.0.9=py_0 -> pygments
ipython==7.5.0=py36h24bf2e0_0 -> pygments
nbconvert==5.5.0=py_0 -> pygments
Package plac conflicts for:
spacy==2.0.12=py36h962f231_0 -> plac[version='>=0.9.6,<1.0.0']
Package pango conflicts for:
graphviz==2.40.1=h21bd128_2 -> pango[version='>=1.42.1,<2.0a0']
Package python conflicts for:
tornado==5.0.2=py36_0 -> python[version='3.6.*|>=3.6,<3.7.0a0']
pycparser==2.18=py36hf9f622e_1 -> python[version='>=3.6,<3.7.0a0']
jupyter_core==4.4.0=py36h7c827e3_0 -> python[version='>=3.6,<3.7.0a0']
murmurhash==0.28.0=py36_0 -> python=3.6
python-dateutil==2.7.3=py36_0 -> python[version='>=3.6,<3.7.0a0']
filelock==3.0.4=py36_0 -> python[version='3.6.*|>=3.6,<3.7.0a0']
multicore-tsne==0.1_d4ff4aab=py36h3e44d54_0 -> python[version='>=3.6,<3.7.0a0']
pexpect==4.6.0=py36_0 -> python[version='>=3.6,<3.7.0a0']
idna==2.7=py36_0 -> python[version='>=3.6,<3.7.0a0']
tblib==1.3.2=py36h34cf8b6_0 -> python[version='>=3.6,<3.7.0a0']
astor==0.6.2=py36_0 -> python[version='>=3.6,<3.7.0a0']
jupyterlab==0.32.1=py36_0 -> python[version='>=3.6,<3.7.0a0']
scikit-learn==0.20.3=py36h22eb022_0 -> python[version='>=3.6,<3.7.0a0']
numpy-base==1.16.2=py36h2f8d375_0 -> python[version='>=3.6,<3.7.0a0']
jupyterlab_launcher==0.10.5=py36_0 -> python[version='3.6.*|>=3.6,<3.7.0a0']
kiwisolver==1.0.1=py36h764f252_0 -> python[version='>=3.6,<3.7.0a0']
ujson==1.35=py36_0 -> python=3.6
cycler==0.10.0=py36h93f1223_0 -> python[version='>=3.6,<3.7.0a0']
boto==2.48.0=py36h6e4cd66_1 -> python[version='>=3.6,<3.7.0a0']
ipykernel==5.1.1=py36h24bf2e0_0 -> python[version='>=3.6,<3.7.0a0']
six==1.12.0=py36_0 -> python[version='>=3.6,<3.7.0a0']
requests==2.22.0=py36_1 -> python[version='>=3.6,<3.7.0a0']
pyemd==0.5.1=py36ha8d69ae_0 -> python[version='>=3.6,<3.7.0a0']
tensorflow-probability==0.5.0=py_1 -> python
chainer==4.2.0=py36_0 -> python[version='>=3.6,<3.7.0a0']
docutils==0.14=py36hb0f60f5_0 -> python[version=
…

2. I tried exporting my ‘ai’ environment from my Mac and importing it on Ubuntu 16.06. I
failed because of missing packages. Are these packages that I built from source that conda can’t find?


(base) ubuntu@ip-10-0-1-71:~$ conda env create -f ai_mac_environment.yml 
NVIDIA: no NVIDIA devices found
Collecting package metadata (repodata.json): | NVIDIA: no NVIDIA devices found
done
Solving environment: failed

ResolvePackageNotFound: 
  - pymongo==3.7.2=py36h0a44026_0
  - pygpu==0.7.6=py36h917ab60_1000
  - gensim==3.4.0=py36h1de35cc_0
  - pytorch==1.1.0=py3.6_0
  - ninja==1.9.0=h04f5b5a_0
  - matplotlib==2.2.2=py36ha7267d0_0
  - graphviz==2.38.0=hbeef861_8
  - openssl==1.1.1=h1de35cc_0
  - scikit-learn==0.20.3=py36hebd9d1a_0
  - libgpuarray==0.7.6=h1de35cc_1003
  - kiwisolver==1.1.0=py36h770b8ee_0
  - tornado==6.0.2=py36h01d97ff_0
  - python==3.6.7=haf84260_0
  - libopenblas==0.3.3=hdc02c5d_3
  - tensorboard==1.12.2=py36haf313ee_0
  - msgpack-python==0.6.1=py36h04f5b5a_0
  - grpcio==1.12.1=py36hd9629dc_0
  - webencodings==0.5.1=py36_0
  - tensorflow-base==1.12.0=mkl_py36h70e0e9a_0
  - pandoc==2.2.1=hde52d81_0
  - appnope==0.1.0=py36_0
  - boto==2.48.0=py36hdbc59ac_1
  - libprotobuf==3.6.1=hd9629dc_1000
  - protobuf==3.6.1=py36h0a44026_1001
  - xz==5.2.4=h1de35cc_4
  - python-crfsuite==0.9.6=py36h04f5b5a_1000
  - readline==7.0=hc1231fa_4
  - thinc==6.10.1=py36h17d75cb_0
  - libgfortran==3.0.1=h93005f0_2
  - scipy==1.2.1=py36hbd7caa9_1
  - cymem==1.31.2=py36hfc679d8_0
  - numpy-base==1.16.2=py36ha711998_0
  - openblas==0.3.5=h436c29b_1001
  - numpy==1.16.2=py36hbb3c62a_1
  - cryptography==2.3.1=py36ha12b0ac_2
  - tensorflow==1.12.0=mkl_py36h2b2bbaf_0

3. I tried reverting conda to rev 0 after reinstalling Anaconda2-2019.07-Linux-x86_64.sh

4. I tried to install my previous environment with 
$ conda env create -f ai_environment.yml 
This got hundreds of conflicts

5. I tried to install my mac environment with:
$ conda env create -f ai_mac_environment_1.yml 
this got ResolvePackageNotFound: with 38 missing packages.

6. I deleted the missing packages from ai_mac_environment_1.yml and tried again.
NVIDIA: no NVIDIA devices found
Collecting package metadata (repodata.json): \ NVIDIA: no NVIDIA devices found
done
Solving environment: failed

UnsatisfiableError: The following specifications were found to be incompatible with each other:



Package libpng conflicts for:
pillow==5.2.0=py36h2dc6135_1 -> freetype[version='>=2.8,<2.9.0a0'] -> libpng[version='1.6.*,>=1.6.23,<1.7,>=1.6.27,<1.7,>=1.6.32,<1.6.35,>=1.6.34,<1.7.0a0']
freetype==2.8.1=0 -> libpng[version='1.6.*,>=1.6.23,<1.7,>=1.6.27,<1.7,>=1.6.32,<1.6.35,>=1.6.34,<1.7.0a0']
bokeh==1.0.1=py36_1000 -> pillow[version='>=4.0'] -> freetype[version='2.7|2.7.*,>=2.8,<2.9.0a0,>=2.9.1,<3.0a0'] -> libpng[version='1.6.*,>=1.6.23,<1.7,>=1.6.27,<1.7,>=1.6.32,<1.6.35,>=1.6.34,<1.7.0a0']
libpng==1.6.34=ha92aebf_1
seaborn==0.9.0=py_0 -> matplotlib[version='>=1.4.3'] -> pyqt[version='4.*,5.*,5.6.*,5.9.*,>=5.9.2,<5.10.0a0'] -> qt[version='4.8.*,5.6.*,>=4.8.6,<5.0,>=5.6.2,<5.7.0a0'] -> gtk2 -> pango[version='1.40.*,>=1.40.14,<1.41.0a0,>=1.42.4,<1.43.0a0'] -> harfbuzz[version='0.9.*,>=1.7.6,<1.8.0a0,>=1.7.6,<2.0a0,>=1.9.0,<2.0a0,>=2.4.0,<3.0a0'] -> cairo[version='1.14.*,>=1.14.12,<1.15.0a0,>=1.14.12,<2.0a0,>=1.16.0,<1.17.0a0'] -> fontconfig[version='2.11.1,2.12.*,>=2.12.4,<3.0a0,>=2.13.1,<3.0a0'] -> freetype[version='2.5.*,2.6.*,2.8.1,>=2.8,<2.9.0a0,>=2.8.1,<2.9.0a0,>=2.9.1,<3.0a0'] -> libpng[version='1.6.*,>=1.6.23,<1.7,>=1.6.27,<1.7,>=1.6.32,<1.6.35,>=1.6.34,<1.7.0a0']
torchvision==0.2.1=py_2 -> pillow[version='>=4.1.1'] -> freetype[version='2.7|2.7.*,>=2.8,<2.9.0a0,>=2.9.1,<3.0a0'] -> libpng[version='1.6.*,>=1.6.23,<1.7,>=1.6.27,<1.7,>=1.6.32,<1.6.35,>=1.6.34,<1.7.0a0']
pydot==1.3.0=py36_1000 -> graphviz -> pango[version='>=1.41.0,<2.0a0,>=1.42.1,<2.0a0,>=1.42.4,<1.43.0a0'] -> harfbuzz[version='0.9.*,>=1.7.6,<1.8.0a0,>=1.7.6,<2.0a0,>=1.9.0,<2.0a0,>=2.4.0,<3.0a0'] -> cairo[version='1.14.*,>=1.14.12,<1.15.0a0,>=1.14.12,<2.0a0,>=1.16.0,<1.17.0a0'] -> fontconfig[version='2.11.1,2.12.*,>=2.12.4,<3.0a0,>=2.13.1,<3.0a0'] -> freetype[version='2.5.*,2.6.*,2.8.1,>=2.8,<2.9.0a0,>=2.8.1,<2.9.0a0,>=2.9.1,<3.0a0'] -> libpng[version='1.6.*,>=1.6.23,<1.7,>=1.6.27,<1.7,>=1.6.32,<1.6.35,>=1.6.34,<1.7.0a0']