别鸡眼我愿意闹
问题描述
我在 Windows 8.1 上有 conda 4.8.3 和 Python 3.7.4.
I have conda 4.8.3 and Python 3.7.4 on Windows 8.1.
我在 conda 环境中安装了 tf 2.0.0.如何升级到 2.2.x?
I have tf 2.0.0 installed in a conda environment. How do I upgrade to 2.2.x?
或者，我如何在 conda 环境中安装 2.2.x?
Or, how do I just install 2.2.x in a conda environment?
编辑 1:pip install --upgrade tensorflow 说:要求已经是最新的:d:anaconda3envs f2libsite-packages (2.1.0) 中的 tensorflow
Edit 1: pip install --upgrade tensorflow says: Requirement already up-to-date: tensorflow in d:anaconda3envs f2libsite-packages (2.1.0)
但是tf版本还是2.0.
but tf version is still 2.0.
编辑 2:conda install tensorflow==2.2.0 说:
Edit 2: conda install tensorflow==2.2.0 says:
PackagesNotFoundError: The following packages are not available from current channels:
- 张量流==2.2.0
我确实有一些运气 这里.
编辑 3:
(tf2) D:aydevcovid-19>conda list -n tf2 # packages in environment at D:Anaconda3envs f2: # # Name Version Build Channel _anaconda_depends 2019.03 py37_0 _ipyw_jlab_nb_ext_conf 0.1.0 py37_0 _tflow_select 2.3.0 mkl absl-py 0.9.0 pypi_0 pypi alabaster 0.7.12 py37_0 anaconda custom py37_1 anaconda-client 1.7.2 py37_0 anaconda-navigator 1.9.7 py37_0 anaconda-project 0.8.3 py_0 asn1crypto 1.0.1 py37_0 astor 0.8.1 pypi_0 pypi astroid 2.3.1 py37_0 astropy 3.2.1 py37he774522_0 atomicwrites 1.3.0 py37_1 attrs 19.2.0 py_0 babel 2.7.0 py_0 backcall 0.1.0 py37_0 backports 1.0 py_2 backports.functools_lru_cache 1.5 py_2 backports.os 0.1.1 py37_0 backports.shutil_get_terminal_size 1.0.0 py37_2 backports.tempfile 1.0 py_1 backports.weakref 1.0.post1 py_1 beautifulsoup4 4.8.0 py37_0 bitarray 1.0.1 py37he774522_0 bkcharts 0.2 py37_0 blas 1.0 mkl bleach 3.1.0 py37_0 blosc 1.16.3 h7bd577a_0 bokeh 1.3.4 py37_0 boto 2.49.0 py37_0 bottleneck 1.2.1 py37h452e1ab_1 bzip2 1.0.8 he774522_0 ca-certificates 2020.1.1 0 cachetools 4.0.0 pypi_0 pypi certifi 2019.9.11 py37_0 cffi 1.12.3 py37h7a1dbc1_0 chardet 3.0.4 py37_1003 click 7.0 py37_0 cloudpickle 1.2.2 py_0 clyent 1.2.2 py37_1 colorama 0.4.1 py37_0 comtypes 1.1.7 py37_0 conda-package-handling 1.6.0 py37h62dcd97_0 conda-verify 3.4.2 py_1 console_shortcut 0.1.1 3 contextlib2 0.6.0 py_0 cryptography 2.7 py37h7a1dbc1_0 curl 7.65.3 h2a8f88b_0 cycler 0.10.0 py37_0 cython 0.29.13 py37ha925a31_0 cytoolz 0.10.0 py37he774522_0 dask 2.5.2 py_0 dask-core 2.5.2 py_0 decorator 4.4.0 py37_1 defusedxml 0.6.0 py_0 dill 0.3.1.1 pypi_0 pypi distributed 2.5.2 py_0 docutils 0.15.2 py37_0 entrypoints 0.3 py37_0 et_xmlfile 1.0.1 py37_0 fastcache 1.1.0 py37he774522_0 filelock 3.0.12 py_0 flask 1.1.1 py_0 freetype 2.9.1 ha9979f8_1 fsspec 0.5.2 py_0 future 0.17.1 py37_0 gast 0.2.2 pypi_0 pypi get_terminal_size 1.0.0 h38e98db_0 gevent 1.4.0 py37he774522_0 glob2 0.7 py_0 google-auth 1.11.0 pypi_0 pypi google-auth-oauthlib 0.4.1 pypi_0 pypi google-pasta 0.1.8 py_0 googleapis-common-protos 1.51.0 pypi_0 pypi greenlet 0.4.15 py37hfa6e2cd_0 grpcio 1.26.0 pypi_0 pypi h5py 2.9.0 py37h5e291fa_0 hdf5 1.10.4 h7ebc959_0 heapdict 1.0.1 py_0 html5lib 1.0.1 py37_0 icc_rt 2019.0.0 h0cc432a_1 icu 58.2 ha66f8fd_1 idna 2.8 py37_0 imageio 2.6.0 py37_0 imagesize 1.1.0 py37_0 importlib_metadata 0.23 py37_0 intel-openmp 2019.4 245 ipykernel 5.1.2 py37h39e3cac_0 ipython 7.8.0 py37h39e3cac_0 ipython_genutils 0.2.0 py37_0 ipywidgets 7.5.1 py_0 isort 4.3.21 py37_0 itsdangerous 1.1.0 py37_0 jdcal 1.4.1 py_0 jedi 0.15.1 py37_0 jinja2 2.10.3 py_0 joblib 0.13.2 py37_0 jpeg 9b hb83a4c4_2 json5 0.8.5 py_0 jsonschema 3.0.2 py37_0 jupyter 1.0.0 py37_7 jupyter_client 5.3.3 py37_1 jupyter_console 6.0.0 py37_0 jupyter_core 4.5.0 py_0 jupyterlab 1.1.4 pyhf63ae98_0 jupyterlab_server 1.0.6 py_0 keras 2.3.1 py37h21ff451_0 conda-forge keras-applications 1.0.8 py_0 keras-preprocessing 1.1.0 py_1 keyring 18.0.0 py37_0 kiwisolver 1.1.0 py37ha925a31_0 krb5 1.16.1 hc04afaa_7 lazy-object-proxy 1.4.2 py37he774522_0 libarchive 3.3.3 h0643e63_5 libcurl 7.65.3 h2a8f88b_0 libgpuarray 0.7.6 hfa6e2cd_0 libiconv 1.15 h1df5818_7 liblief 0.9.0 ha925a31_2 libmklml 2019.0.5 0 libpng 1.6.37 h2a8f88b_0 libprotobuf 3.11.2 h7bd577a_0 libpython 2.1 py37_0 libsodium 1.0.16 h9d3ae62_0 libssh2 1.8.2 h7a1dbc1_0 libtiff 4.0.10 hb898794_2 libxml2 2.9.9 h464c3ec_0 libxslt 1.1.33 h579f668_0 llvmlite 0.29.0 py37ha925a31_0 locket 0.2.0 py37_1 lxml 4.4.1 py37h1350720_0 lz4-c 1.8.1.2 h2fa13f4_0 lzo 2.10 h6df0209_2 m2w64-binutils 2.25.1 5 m2w64-bzip2 1.0.6 6 m2w64-crt-git 5.0.0.4636.2595836 2 m2w64-gcc 5.3.0 6 m2w64-gcc-ada 5.3.0 6 m2w64-gcc-fortran 5.3.0 6 m2w64-gcc-libgfortran 5.3.0 6 m2w64-gcc-libs 5.3.0 7 m2w64-gcc-libs-core 5.3.0 7 m2w64-gcc-objc 5.3.0 6 m2w64-gmp 6.1.0 2 m2w64-headers-git 5.0.0.4636.c0ad18a 2 m2w64-isl 0.16.1 2 m2w64-libiconv 1.14 6 m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2 m2w64-libwinpthread-git 5.0.0.4634.697f757 2 m2w64-make 4.1.2351.a80a8b8 2 m2w64-mpc 1.0.3 3 m2w64-mpfr 3.1.4 4 m2w64-pkg-config 0.29.1 2 m2w64-toolchain 5.3.0 7 m2w64-tools-git 5.0.0.4592.90b8472 2 m2w64-windows-default-manifest 6.4 3 m2w64-winpthreads-git 5.0.0.4634.697f757 2 m2w64-zlib 1.2.8 10 mako 1.1.0 py_0 markdown 3.1.1 py37_0 markupsafe 1.1.1 py37he774522_0 matplotlib 3.1.1 py37hc8f65d3_0 mccabe 0.6.1 py37_1 menuinst 1.4.16 py37he774522_0 mistune 0.8.4 py37he774522_0 mkl 2019.4 245 mkl-service 2.3.0 py37hb782905_0 mkl_fft 1.0.14 py37h14836fe_0 mkl_random 1.1.0 py37h675688f_0 mock 3.0.5 py37_0 more-itertools 7.2.0 py37_0 mpmath 1.1.0 py37_0 msgpack-python 0.6.1 py37h74a9793_1 msys2-conda-epoch 20160418 1 multipledispatch 0.6.0 py37_0 navigator-updater 0.2.1 py37_0 nbconvert 5.6.0 py37_1 nbformat 4.4.0 py37_0 networkx 2.3 py_0 nltk 3.4.5 py37_0 nose 1.3.7 py37_2 notebook 6.0.1 py37_0 numba 0.45.1 py37hf9181ef_0 numexpr 2.7.0 py37hdce8814_0 numpy 1.16.5 py37h19fb1c0_0 numpy-base 1.16.5 py37hc3f5095_0 numpydoc 0.9.1 py_0 oauthlib 3.1.0 pypi_0 pypi olefile 0.46 py37_0 openpyxl 3.0.0 py_0 openssl 1.1.1d he774522_3 opt_einsum 3.1.0 py_0 packaging 19.2 py_0 pandas 0.25.1 pypi_0 pypi pandoc 2.2.3.2 0 pandocfilters 1.4.2 py37_1 parso 0.5.1 py_0 partd 1.0.0 py_0 path.py 12.0.1 py_0 pathlib2 2.3.5 py37_0 patsy 0.5.1 py37_0 pep8 1.7.1 py37_0 pickleshare 0.7.5 py37_0 pillow 6.2.0 py37hdc69c19_0 pip 20.0.2 pypi_0 pypi pkginfo 1.5.0.1 py37_0 pluggy 0.13.0 py37_0 ply 3.11 py37_0 powershell_shortcut 0.0.1 2 prometheus_client 0.7.1 py_0 promise 2.3 pypi_0 pypi prompt_toolkit 2.0.10 py_0 protobuf 3.11.2 pypi_0 pypi psutil 5.6.3 py37he774522_0 py 1.8.0 py37_0 py-lief 0.9.0 py37ha925a31_2 pyasn1 0.4.8 pypi_0 pypi pyasn1-modules 0.2.8 pypi_0 pypi pycodestyle 2.5.0 py37_0 pycosat 0.6.3 py37hfa6e2cd_0 pycparser 2.19 py37_0 pycrypto 2.6.1 py37hfa6e2cd_9 pycurl 7.43.0.3 py37h7a1dbc1_0 pyflakes 2.1.1 py37_0 pygments 2.4.2 py_0 pygpu 0.7.6 py37h452e1ab_0 pylint 2.4.2 py37_0 pyodbc 4.0.27 py37ha925a31_0 pyopenssl 19.0.0 py37_0 pyparsing 2.4.2 py_0 pyqt 5.9.2 py37h6538335_2 pyreadline 2.1 py37_1 pyrsistent 0.15.4 py37he774522_0 pysocks 1.7.1 py37_0 pytables 3.5.2 py37h1da0976_1 pytest 5.2.1 py37_0 pytest-arraydiff 0.3 py37h39e3cac_0 pytest-astropy 0.5.0 py37_0 pytest-doctestplus 0.4.0 py_0 pytest-openfiles 0.4.0 py_0 pytest-remotedata 0.3.2 py37_0 python 3.7.4 h5263a28_0 python-dateutil 2.8.0 py37_0 python-libarchive-c 2.8 py37_13 pytz 2019.3 py_0 pywavelets 1.0.3 py37h8c2d366_1 pywin32 223 py37hfa6e2cd_1 pywinpty 0.5.5 py37_1000 pyyaml 5.1.2 py37he774522_0 pyzmq 18.1.0 py37ha925a31_0 qt 5.9.7 vc14h73c81de_0 qtawesome 0.6.0 py_0 qtconsole 4.5.5 py_0 qtpy 1.9.0 py_0 requests 2.22.0 py37_0 requests-oauthlib 1.3.0 pypi_0 pypi rope 0.14.0 py_0 rsa 4.0 pypi_0 pypi ruamel_yaml 0.15.46 py37hfa6e2cd_0 scikit-image 0.15.0 py37ha925a31_0 scikit-learn 0.21.3 py37h6288b17_0 scipy 1.4.1 pypi_0 pypi seaborn 0.9.0 py37_0 send2trash 1.5.0 py37_0 setuptools 41.4.0 py37_0 simplegeneric 0.8.1 py37_2 singledispatch 3.4.0.3 py37_0 sip 4.19.8 py37h6538335_0 six 1.12.0 py37_0 sklearn 0.0 pypi_0 pypi snappy 1.1.7 h777316e_3 snowballstemmer 2.0.0 py_0 sortedcollections 1.1.2 py37_0 sortedcontainers 2.1.0 py37_0 soupsieve 1.9.3 py37_0 sphinx 2.2.0 py_0 sphinxcontrib 1.0 py37_1 sphinxcontrib-applehelp 1.0.1 py_0 sphinxcontrib-devhelp 1.0.1 py_0 sphinxcontrib-htmlhelp 1.0.2 py_0 sphinxcontrib-jsmath 1.0.1 py_0 sphinxcontrib-qthelp 1.0.2 py_0 sphinxcontrib-serializinghtml 1.1.3 py_0 sphinxcontrib-websupport 1.1.2 py_0 spyder 3.3.6 py37_0 spyder-kernels 0.5.2 py37_0 sqlalchemy 1.3.9 py37he774522_0 sqlite 3.30.0 he774522_0 statsmodels 0.10.1 py37h8c2d366_0 sympy 1.4 py37_0 tbb 2019.4 h74a9793_0 tblib 1.4.0 py_0 tensorboard 2.1.0 pypi_0 pypi tensorflow 2.1.0 pypi_0 pypi tensorflow-base 2.0.0 mkl_py37hd1d5974_0 tensorflow-datasets 2.0.0 pypi_0 pypi tensorflow-estimator 2.1.0 pypi_0 pypi tensorflow-metadata 0.21.1 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi terminado 0.8.2 py37_0 testpath 0.4.2 py37_0 theano 1.0.4 py37_0 tk 8.6.8 hfa6e2cd_0 toolz 0.10.0 py_0 tornado 6.0.3 py37he774522_0 tqdm 4.36.1 py_0 traitlets 4.3.3 py37_0 unicodecsv 0.14.1 py37_0 urllib3 1.24.2 py37_0 vc 14.1 h0510ff6_4 vs2015_runtime 14.16.27012 hf0eaf9b_0 wcwidth 0.1.7 py37_0 webencodings 0.5.1 py37_1 werkzeug 0.16.0 py_0 wheel 0.33.6 py37_0 widgetsnbextension 3.5.1 py37_0 win_inet_pton 1.1.0 py37_0 win_unicode_console 0.5 py37_0 wincertstore 0.2 py37_0 winpty 0.4.3 4 wrapt 1.11.2 py37he774522_0 xlrd 1.2.0 py37_0 xlsxwriter 1.2.1 py_0 xlwings 0.15.10 py37_0 xlwt 1.3.0 py37_0 xz 5.2.4 h2fa13f4_4 yaml 0.1.7 hc54c509_2 zeromq 4.3.1 h33f27b4_3 zict 1.0.0 py_0 zipp 0.6.0 py_0 zlib 1.2.11 h62dcd97_3 zstd 1.3.7 h508b16e_0
推荐答案
有两种方法
1.安装到虚拟环境中
pip TensorFlow virtualenv --system-site-packages -p python3 ./venv
那么你需要激活你的新环境
then you need to activate your new environment
pip install --upgrade pip pip list # show packages installed within the virtual environment this command for quit deactivate # don't exit until you're done using TensorFlow we finish by installing tensor pip install --upgrade tensorflow
2.在您的系统中安装
python3 --version pip3 --version virtualenv --version
Ubuntu
sudo apt update sudo apt install python3-dev python3-pip sudo pip3 install -U virtualenv # system-wide install
然后
pip3 install --user --upgrade tensorflow # install in $HOME
