我在 Ubuntu 16.04 上运行，并且遇到了 Anaconda 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
我尝试了这个问题中的所有建议，但没有任何效果：
环境不一致，请仔细查看套餐方案 https://stackoverflow.com/questions/55527354/the-environment-is-inconsistent-please-check-the-package-plan-carefully
Also
“如何修复“UnsatisfiableError：发现以下规范彼此不兼容”” https://stackoverflow.com/questions/57150825/how-to-fix-unsatisfiableerror-the-following-specifications-were-found-to-be-i
E.g. -
$ conda activate base
$ conda update conda-build
$ conda update conda-build
$conda update --all
$ conda install anaconda
$ conda install -c anaconda anaconda
$ conda install gxx_impl_linux-64
这是完整的输出：
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
...
Update:
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']
