安装tensor flow真的好坑
本人Mac,但是不是nividna的显卡,所以装不了g pu版本的,虽然自己电脑也带g pu。
起初遇到的坑:
代码语言:javascript复制conda list
# packages in environment at /Users/apple/anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
_tflow_select 2.3.0 mkl
absl-py 0.9.0 py37_0
alabaster 0.7.11 py37_0
anaconda 5.3.1 py37_0
anaconda-client 1.7.2 py37_0
tblib 1.3.2 py37_0
tensorboard 2.0.0 pyhb38c66f_1
tensorflow 2.0.0 mkl_py37hda344b4_0
tensorflow-estimator 2.0.0 pyh2649769_0
termcolor 1.1.0 py37_1
terminado 0.8.1 py37_1
testpath 0.3.1 py37_0
#这里是从a到z排列的就显示这些了
安装了tensor flow2.0.0版本,但是就是不对
这是conda的环境
代码语言:javascript复制conda info -e
# conda environments:
#
base * /Users/apple/anaconda3
tensorflow-gpu /Users/apple/anaconda3/envs/tensorflow-gpu
把环境启一下
代码语言:javascript复制(base) appledeMBP-5:~ apple$ conda activate tensorflow-gpu
(tensorflow-gpu) appledeMBP-5:~ apple$ conda list
# packages in environment at /Users/apple/anaconda3/envs/tensorflow-gpu:
#
可以看到前面()里变成tensor flow-gpu的环境了
看了一下有木有nvidia显卡
代码语言:javascript复制(tensorflow-gpu) appledeMBP-5:~ apple$ nvidia-smi
-bash: nvidia-smi: command not found
我是木有的,那还装个gpu版本的毛线,所以直接全部删掉吧
先把环境从激活状态退出
然后再全部删
代码语言:javascript复制(tensorflow-gpu) appledeMBP-5:~ apple$ conda deactivate
(base) appledeMBP-5:~ apple$ conda remove -n tensorflow-gpu -all
usage: conda [-h] [-V] command ...
conda: error: unrecognized arguments: -all
(base) appledeMBP-5:~ apple$ conda remove -n tensorflow-gpu --all
Remove all packages in environment /Users/apple/anaconda3/envs/tensorflow-gpu:
全部删完后建一个tensor flow的环境,装CPU的,注意这里最好指定python的版本,要不可能老出错,tensorflow2支持的python版本有限,最好先查一下
代码语言:javascript复制(base) appledeMBP-5:~ apple$ conda create -n tensorflow python=3.6
完成之后看一下有哪几个环境啦
代码语言:javascript复制(base) appledeMBP-5:~ apple$ conda info -e
# conda environments:
#
base * /Users/apple/anaconda3
tensorflow /Users/apple/anaconda3/envs/tensorflow
没错,有了。
再激活一下。
激活完了就要安装tensor flow喽。指定版本啦,而且我用pip安装老是出错,但是用conda就没错了,而且记得提前安装好anaconda。
出错了请注意:
代码语言:javascript复制(base) appledeMBP-5:~ apple$ conda activate tensorflow
(tensorflow) appledeMBP-5:~ apple$ conda install tensorflow=2.1
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
如果出现
代码语言:javascript复制CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
这样解决就好了
代码语言:javascript复制# 激活环境
source activate
# 退出环境
source deactivate
再瞅瞅
代码语言:javascript复制(tensorflow) appledeMBP-5:~ apple$ conda config --show
add_anaconda_token: True
add_pip_as_python_dependency: True
aggressive_update_packages:
- ca-certificates
- certifi
- openssl
allow_conda_downgrades: False
allow_cycles: True
allow_non_channel_urls: False
再来
配置一下源
代码语言:javascript复制(tensorflow) appledeMBP-5:~ apple$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
(tensorflow) appledeMBP-5:~ apple$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
(tensorflow) appledeMBP-5:~ apple$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch
(tensorflow) appledeMBP-5:~ apple$ conda config --set show_channel_urls yes
(tensorflow) appledeMBP-5:~ apple$ conda install tensorflow=2.1
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
代码语言:javascript复制(tensorflow) appledeMBP-5:~ apple$ conda install tensorflow=2.0
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /Users/apple/anaconda3/envs/tensorflow
added / updated specs:
- tensorflow=2.0
The following packages will be downloaded:
package | build
---------------------------|-----------------
_tflow_select-2.3.0 | mkl 3 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
代码语言:javascript复制(tensorflow) appledeMBP-5:~ apple$ python
Python 3.6.10 |Anaconda, Inc.| (default, May 7 2020, 23:06:31)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> tf.__version__
'2.0.0'
>>> tf.keras.__version__
'2.2.4-tf'
>>> exit()
成功了
?
上面import tensorflow的时候有时候会报错:
如no module named six:
conda安装时又显示已经安装过了,说明是系统没有引到某个路径:
另外我们在安装一些包的时候遇到的问题:
代码语言:javascript复制(tensorflow) appledeMBP-5:~ apple$ pip3 install tplotlib
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
^[[AERROR: Could not find a version that satisfies the requirement tplotlib (from versions: none)
ERROR: No matching distribution found for tplotlib
(tensorflow) appledeMBP-5:~ apple$ pip3 install matplotlib
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting matplotlib
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/0d/61/b741990b429341bac1af5f5c645ee7aaa3bbe7daf3418d283c92c4b5ee82/matplotlib-3.2.1-cp37-cp37m-macosx_10_9_x86_64.whl (12.4 MB)
Collecting cycler>=0.10
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/f7/d2/e07d3ebb2bd7af696440ce7e754c59dd546ffe1bbe732c8ab68b9c834e61/cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
Collecting python-dateutil>=2.1
ERROR: traitlets 4.3.3 requires decorator, which is not installed.
ERROR: keras-applications 1.0.8 requires h5py, which is not installed.
ERROR: ipython 7.13.0 requires decorator, which is not installed.
Installing collected packages: six, cycler, python-dateutil, kiwisolver, numpy, pyparsing, matplotlib
Successfully installed cycler-0.10.0 kiwisolver-1.2.0 matplotlib-3.2.1 numpy-1.18.5 pyparsing-2.4.7 python-dateutil-2.8.1 six-1.15.0
pip安装个包都给报错,实在是气人
代码语言:javascript复制(tensorflow) appledeMBP-5:~ apple$ conda install matplotlib
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /Users/apple/anaconda3/envs/tensorflow
added / updated specs:
- matplotlib
pip 不行的时候试一下conda,但是还是推荐用pip,因为conda里面的包不全
最后附上我整个傻逼的过程吧
代码语言:javascript复制Last login: Mon Jun 8 13:01:32 on console
(base) appledeMBP-5:~ apple$ conda list
# packages in environment at /Users/apple/anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
_tflow_select 2.3.0 mkl
absl-py 0.9.0 py37_0
alabaster 0.7.11 py37_0
anaconda 5.3.1 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.2 py37_0
anaconda-project 0.8.2 py37_0
appdirs 1.4.3 py37h28b3542_0
appnope 0.1.0 py37_0
appscript 1.0.1 py37h1de35cc_1
asn1crypto 0.24.0 py37_0
astor 0.8.0 py37_0
astroid 2.0.4 py37_0
astropy 3.0.4 py37h1de35cc_0
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
automat 0.7.0 py37_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.shutil_get_terminal_size 1.0.0 py37_2
bcrypt 3.1.7 py37h1de35cc_0
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37h1de35cc_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 2.1.4 py37_0
blosc 1.14.4 hd9629dc_0
bokeh 0.13.0 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h1d22016_1
bzip2 1.0.6 h1de35cc_5
c-ares 1.15.0 h1de35cc_1001
ca-certificates 2020.1.1 0
certifi 2020.4.5.1 py37_0
cffi 1.11.5 py37h6174b99_1
chardet 3.0.4 py37_1
click 6.7 py37_0
cloudpickle 0.5.5 py37_0
clyent 1.2.2 py37_1
colorama 0.3.9 py37_0
conda 4.8.3 py37_0
conda-build 3.15.1 py37_0
conda-env 2.6.0 1
conda-package-handling 1.6.1 py37h1de35cc_0
constantly 15.1.0 py37h28b3542_0
contextlib2 0.5.5 py37_0
cryptography 2.9.2 py37ha12b0ac_0
curl 7.67.0 ha441bb4_0
cycler 0.10.0 py37_0
cython 0.28.5 py37h0a44026_0
cytoolz 0.9.0.1 py37h1de35cc_1
dask 0.19.1 py37_0
dask-core 0.19.1 py37_0
datashape 0.5.4 py37_1
dbus 1.13.2 h760590f_1
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
distributed 1.23.1 py37_0
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
expat 2.2.6 h0a44026_0
fastcache 1.0.2 py37h1de35cc_2
filelock 3.0.8 py37_0
flask 1.0.2 py37_1
flask-cors 3.0.6 py37_0
freetype 2.9.1 hb4e5f40_0
gast 0.2.2 py37_0
get_terminal_size 1.0.0 h7520d66_0
gettext 0.19.8.1 h15daf44_3
gevent 1.3.6 py37h1de35cc_0
glib 2.56.2 hd9629dc_0
glob2 0.6 py37_0
gmp 6.1.2 hb37e062_1
gmpy2 2.0.8 py37h6ef4df4_2
google-pasta 0.2.0 py_0
greenlet 0.4.15 py37h1de35cc_0
grpcio 1.16.1 py37h044775b_1
h5py 2.8.0 py37h878fce3_3
hdf5 1.10.2 hfa1e0ec_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
hyperlink 18.0.0 py37_0
icu 58.2 h4b95b61_1
idna 2.7 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
incremental 17.5.0 py37_0
intel-openmp 2019.0 118
ipykernel 4.9.0 py37_1
ipython 6.5.0 py37_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.1 py37_0
isort 4.3.4 py37_0
itsdangerous 0.24 py37_1
jbig 2.1 h4d881f8_0
jdcal 1.4 py37_0
jedi 0.12.1 py37_0
jinja2 2.10 py37_0
jpeg 9b he5867d9_2
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.3 py37_0
jupyter_console 5.2.0 py37_1
jupyter_core 4.4.0 py37_0
jupyterlab 0.34.9 py37_0
jupyterlab_launcher 0.13.1 py37_0
keras-applications 1.0.8 py_0
keras-preprocessing 1.1.0 py_1
keyring 13.2.1 py37_0
kiwisolver 1.0.1 py37h0a44026_0
krb5 1.16.1 hddcf347_7
lazy-object-proxy 1.3.1 py37h1de35cc_2
libcurl 7.67.0 h051b688_0
libcxx 4.0.1 h579ed51_0
libcxxabi 4.0.1 hebd6815_0
libedit 3.1.20170329 hb402a30_2
libffi 3.2.1 h475c297_4
libgfortran 3.0.1 h93005f0_2
libiconv 1.15 hdd342a3_7
libpng 1.6.34 he12f830_0
libprotobuf 3.11.4 hd9629dc_0
libsodium 1.0.16 h3efe00b_0
libssh2 1.9.0 ha12b0ac_1
libtiff 4.0.9 hcb84e12_2
libxml2 2.9.8 hab757c2_1
libxslt 1.1.32 hb819dd2_0
llvmlite 0.24.0 py37hc454e04_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hef8c89e_0
lzo 2.10 h362108e_2
markdown 3.1.1 py37_0
markupsafe 1.0 py37h1de35cc_1
matplotlib 2.2.3 py37h54f8f79_0
mccabe 0.6.1 py37_1
mistune 0.8.3 py37h1de35cc_1
mkl 2019.4 233
mkl-service 2.3.0 py37hfbe908c_0
mkl_fft 1.0.15 py37h5e564d8_0
mkl_random 1.1.0 py37ha771720_0
more-itertools 4.3.0 py37_0
mpc 1.1.0 h6ef4df4_1
mpfr 4.0.1 h3018a27_3
mpmath 1.0.0 py37_2
msgpack-python 0.5.6 py37h04f5b5a_1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
ncurses 6.1 h0a44026_0
networkx 2.1 py37_0
nltk 3.3.0 py37_0
nose 1.3.7 py37_2
notebook 5.6.0 py37_0
numba 0.39.0 py37h6440ff4_0
numexpr 2.6.8 py37h1dc9127_0
numpy 1.18.1 py37h7241aed_0
numpy-base 1.18.1 py37h3304bdc_1
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py37_0
openpyxl 2.5.6 py37_0
openssl 1.1.1g h1de35cc_0
opt_einsum 3.1.0 py_0
packaging 17.1 py37_0
pandas 0.23.4 py37h6440ff4_0
pandoc 1.19.2.1 ha5e8f32_1
pandocfilters 1.4.2 py37_1
parso 0.3.1 py37_0
partd 0.3.8 py37_0
path.py 11.1.0 py37_0
pathlib2 2.3.2 py37_0
patsy 0.5.0 py37_0
pcre 8.42 h378b8a2_0
pep8 1.7.1 py37_0
pexpect 4.6.0 py37_0
pickleshare 0.7.4 py37_0
pillow 5.2.0 py37hb68e598_0
pip 10.0.1 py37_0
pkginfo 1.4.2 py37_1
pluggy 0.7.1 py37h28b3542_0
ply 3.11 py37_0
prometheus_client 0.3.1 py37h28b3542_0
prompt_toolkit 1.0.15 py37_0
protobuf 3.11.4 py37h0a44026_0
psutil 5.4.7 py37h1de35cc_0
ptyprocess 0.6.0 py37_0
py 1.6.0 py37_0
pyasn1 0.4.4 py37h28b3542_0
pyasn1-modules 0.2.2 py37_0
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37h1de35cc_0
pycparser 2.18 py37_1
pycrypto 2.6.1 py37h1de35cc_9
pycurl 7.43.0.5 py37ha12b0ac_0
pyflakes 2.0.0 py37_0
pygments 2.2.0 py37_0
pyhamcrest 1.9.0 py_2
pylint 2.1.1 py37_0
pyodbc 4.0.24 py37h0a44026_0
pyopenssl 18.0.0 py37_0
pyparsing 2.2.0 py37_1
pyqt 5.9.2 py37h655552a_2
pysocks 1.6.8 py37_0
pytables 3.4.4 py37h13cba08_0
pytest 3.8.0 py37_0
pytest-arraydiff 0.2 py37h39e3cac_0
pytest-astropy 0.4.0 py37_0
pytest-doctestplus 0.1.3 py37_0
pytest-openfiles 0.3.0 py37_0
pytest-remotedata 0.3.0 py37_0
python 3.7.2 haf84260_0
python-dateutil 2.7.3 py37_0
python.app 2 py37_8
pytz 2018.5 py37_0
pywavelets 1.0.0 py37h1d22016_0
pyyaml 3.13 py37h1de35cc_0
pyzmq 17.1.2 py37h1de35cc_0
qt 5.9.6 h45cd832_2
qtawesome 0.4.4 py37_0
qtconsole 4.4.1 py37_0
qtpy 1.5.0 py37_0
readline 7.0 h1de35cc_5
requests 2.19.1 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37h1de35cc_0
scikit-image 0.14.0 py37h0a44026_1
scikit-learn 0.19.2 py37h4f467ca_0
scipy 1.4.1 py37h9fa6033_0
seaborn 0.9.0 py37_0
send2trash 1.5.0 py37_0
service_identity 17.0.0 py37h28b3542_0
setuptools 47.1.1 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h0a44026_0
six 1.15.0 py_0
snappy 1.1.7 he62c110_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.0.5 py37_0
sphinx 1.7.9 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.1 py37_1
spyder-kernels 0.2.6 py37_0
sqlalchemy 1.2.11 py37h1de35cc_0
sqlite 3.26.0 ha441bb4_0
statsmodels 0.9.0 py37h1d22016_0
sympy 1.2 py37_0
tblib 1.3.2 py37_0
tensorboard 2.0.0 pyhb38c66f_1
tensorflow 2.0.0 mkl_py37hda344b4_0
tensorflow-estimator 2.0.0 pyh2649769_0
termcolor 1.1.0 py37_1
terminado 0.8.1 py37_1
testpath 0.3.1 py37_0
tk 8.6.8 ha441bb4_0
toolz 0.9.0 py37_0
tornado 5.1 py37h1de35cc_0
tqdm 4.26.0 py37h28b3542_0
traitlets 4.3.2 py37_0
twisted 19.2.0 py37h1de35cc_0
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h1de35cc_0
urllib3 1.23 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.31.1 py37_0
widgetsnbextension 3.4.1 py37_0
wrapt 1.12.1 py37h1de35cc_1
xlrd 1.1.0 py37_1
xlsxwriter 1.1.0 py37_0
xlwings 0.11.8 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h1de35cc_4
yaml 0.1.7 hc338f04_2
zeromq 4.2.5 h0a44026_1
zict 0.1.3 py37_0
zlib 1.2.11 hf3cbc9b_2
zope 1.0 py37_1
zope.interface 4.5.0 py37h1de35cc_0
(base) appledeMBP-5:~ apple$ conda info -e
# conda environments:
#
base * /Users/apple/anaconda3
tensorflow-gpu /Users/apple/anaconda3/envs/tensorflow-gpu
(base) appledeMBP-5:~ apple$ conda activate tensorflow-gpu
(tensorflow-gpu) appledeMBP-5:~ apple$ conda list
# packages in environment at /Users/apple/anaconda3/envs/tensorflow-gpu:
#
# Name Version Build Channel
ca-certificates 2020.1.1 0
certifi 2020.4.5.1 py36_0
libcxx 10.0.0 1
libedit 3.1.20181209 hb402a30_0
libffi 3.3 h0a44026_1
ncurses 6.2 h0a44026_1
numpy 1.18.5 pypi_0 pypi
openssl 1.1.1g h1de35cc_0
pip 20.0.2 py36_3
protobuf 3.12.2 pypi_0 pypi
python 3.6.10 hf48f09d_2
readline 8.0 h1de35cc_0
setuptools 47.1.1 py36_0
six 1.15.0 pypi_0 pypi
sqlite 3.31.1 h5c1f38d_1
tensorflow-gpu 1.1.0 pypi_0 pypi
tk 8.6.8 ha441bb4_0
werkzeug 1.0.1 pypi_0 pypi
wheel 0.34.2 py36_0
xz 5.2.5 h1de35cc_0
zlib 1.2.11 h1de35cc_3
(tensorflow-gpu) appledeMBP-5:~ apple$ nvidia-smi
-bash: nvidia-smi: command not found
(tensorflow-gpu) appledeMBP-5:~ apple$ conda deactivate
(base) appledeMBP-5:~ apple$ conda remove -n tensorflow-gpu -all
usage: conda [-h] [-V] command ...
conda: error: unrecognized arguments: -all
(base) appledeMBP-5:~ apple$ conda remove -n tensorflow-gpu --all
Remove all packages in environment /Users/apple/anaconda3/envs/tensorflow-gpu:
## Package Plan ##
environment location: /Users/apple/anaconda3/envs/tensorflow-gpu
The following packages will be REMOVED:
ca-certificates-2020.1.1-0
certifi-2020.4.5.1-py36_0
libcxx-10.0.0-1
libedit-3.1.20181209-hb402a30_0
libffi-3.3-h0a44026_1
ncurses-6.2-h0a44026_1
openssl-1.1.1g-h1de35cc_0
pip-20.0.2-py36_3
python-3.6.10-hf48f09d_2
readline-8.0-h1de35cc_0
setuptools-47.1.1-py36_0
sqlite-3.31.1-h5c1f38d_1
tk-8.6.8-ha441bb4_0
wheel-0.34.2-py36_0
xz-5.2.5-h1de35cc_0
zlib-1.2.11-h1de35cc_3
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) appledeMBP-5:~ apple$ conda create -n tensorflow python=3.6
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /Users/apple/anaconda3/envs/tensorflow
added / updated specs:
- python=3.6
The following NEW packages will be INSTALLED:
ca-certificates pkgs/main/osx-64::ca-certificates-2020.1.1-0
certifi pkgs/main/osx-64::certifi-2020.4.5.1-py36_0
libcxx pkgs/main/osx-64::libcxx-10.0.0-1
libedit pkgs/main/osx-64::libedit-3.1.20181209-hb402a30_0
libffi pkgs/main/osx-64::libffi-3.3-h0a44026_1
ncurses pkgs/main/osx-64::ncurses-6.2-h0a44026_1
openssl pkgs/main/osx-64::openssl-1.1.1g-h1de35cc_0
pip pkgs/main/osx-64::pip-20.0.2-py36_3
python pkgs/main/osx-64::python-3.6.10-hf48f09d_2
readline pkgs/main/osx-64::readline-8.0-h1de35cc_0
setuptools pkgs/main/osx-64::setuptools-47.1.1-py36_0
sqlite pkgs/main/osx-64::sqlite-3.31.1-h5c1f38d_1
tk pkgs/main/osx-64::tk-8.6.8-ha441bb4_0
wheel pkgs/main/osx-64::wheel-0.34.2-py36_0
xz pkgs/main/osx-64::xz-5.2.5-h1de35cc_0
zlib pkgs/main/osx-64::zlib-1.2.11-h1de35cc_3
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate tensorflow
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) appledeMBP-5:~ apple$ conda info -e
# conda environments:
#
base * /Users/apple/anaconda3
tensorflow /Users/apple/anaconda3/envs/tensorflow
(base) appledeMBP-5:~ apple$ conda activate tensorflow
(tensorflow) appledeMBP-5:~ apple$ conda install tensorflow=2.1
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- tensorflow=2.1
Current channels:
- https://repo.anaconda.com/pkgs/main/osx-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/osx-64
- https://repo.anaconda.com/pkgs/r/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
(tensorflow) appledeMBP-5:~ apple$
(tensorflow) appledeMBP-5:~ apple$ conda config --show
add_anaconda_token: True
add_pip_as_python_dependency: True
aggressive_update_packages:
- ca-certificates
- certifi
- openssl
allow_conda_downgrades: False
allow_cycles: True
allow_non_channel_urls: False
allow_softlinks: False
always_copy: False
always_softlink: False
always_yes: None
anaconda_upload: None
auto_activate_base: True
auto_stack: 0
auto_update_conda: True
bld_path:
changeps1: True
channel_alias: https://conda.anaconda.org
channel_priority: flexible
channels:
- defaults
client_ssl_cert: None
client_ssl_cert_key: None
clobber: False
conda_build: {}
create_default_packages: []
croot: /Users/apple/anaconda3/conda-bld
custom_channels:
pkgs/main: https://repo.anaconda.com
pkgs/r: https://repo.anaconda.com
pkgs/pro: https://repo.anaconda.com
custom_multichannels:
defaults:
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
local:
debug: False
default_channels:
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
default_python: 3.7
default_threads: None
deps_modifier: not_set
dev: False
disallowed_packages: []
download_only: False
dry_run: False
enable_private_envs: False
env_prompt: ({default_env})
envs_dirs:
- /Users/apple/anaconda3/envs
- /Users/apple/.conda/envs
error_upload_url: https://conda.io/conda-post/unexpected-error
execute_threads: 1
extra_safety_checks: False
force: False
force_32bit: False
force_reinstall: False
force_remove: False
ignore_pinned: False
json: False
local_repodata_ttl: 1
migrated_channel_aliases: []
migrated_custom_channels: {}
non_admin_enabled: True
notify_outdated_conda: True
offline: False
override_channels_enabled: True
path_conflict: clobber
pinned_packages: []
pip_interop_enabled: False
pkgs_dirs:
- /Users/apple/anaconda3/pkgs
- /Users/apple/.conda/pkgs
proxy_servers: {}
quiet: False
remote_backoff_factor: 1
remote_connect_timeout_secs: 9.15
remote_max_retries: 3
remote_read_timeout_secs: 60.0
repodata_fns:
- current_repodata.json
- repodata.json
repodata_threads: None
report_errors: None
restore_free_channel: False
rollback_enabled: True
root_prefix: /Users/apple/anaconda3
safety_checks: warn
sat_solver: pycosat
separate_format_cache: False
shortcuts: True
show_channel_urls: None
solver_ignore_timestamps: False
ssl_verify: True
subdir: osx-64
subdirs:
- osx-64
- noarch
target_prefix_override:
track_features: []
unsatisfiable_hints: True
unsatisfiable_hints_check_depth: 2
update_modifier: update_specs
use_index_cache: False
use_local: False
use_only_tar_bz2: True
verbosity: 0
verify_threads: 1
whitelist_channels: []
(tensorflow) appledeMBP-5:~ apple$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
(tensorflow) appledeMBP-5:~ apple$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
(tensorflow) appledeMBP-5:~ apple$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch
(tensorflow) appledeMBP-5:~ apple$ conda config --set show_channel_urls yes
(tensorflow) appledeMBP-5:~ apple$ conda install tensorflow=2.1
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- tensorflow=2.1
Current channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/osx-64
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/osx-64
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/osx-64
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch
- https://repo.anaconda.com/pkgs/main/osx-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/osx-64
- https://repo.anaconda.com/pkgs/r/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
(tensorflow) appledeMBP-5:~ apple$ conda install tensorflow=2.0
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /Users/apple/anaconda3/envs/tensorflow
added / updated specs:
- tensorflow=2.0
The following packages will be downloaded:
package | build
---------------------------|-----------------
_tflow_select-2.3.0 | mkl 3 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
absl-py-0.9.0 | py36_0 165 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
astor-0.8.0 | py36_0 45 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
blas-1.0 | mkl 5 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
c-ares-1.15.0 | h1de35cc_1001 83 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
ca-certificates-2020.1.1 | 0 132 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
certifi-2020.4.5.1 | py36_0 159 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gast-0.2.2 | py36_0 138 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
google-pasta-0.2.0 | py_0 44 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
grpcio-1.16.1 | py36h044775b_1 944 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
h5py-2.10.0 | py36h3134771_0 1003 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
hdf5-1.10.4 | hfa1e0ec_0 4.5 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
intel-openmp-2019.4 | 233 1.1 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
keras-applications-1.0.8 | py_0 33 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
keras-preprocessing-1.1.0 | py_1 36 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libgfortran-3.0.1 | h93005f0_2 495 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libprotobuf-3.11.4 | hd9629dc_0 4.5 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
markdown-3.1.1 | py36_0 113 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
mkl-2019.4 | 233 155.2 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
mkl-service-2.3.0 | py36hfbe908c_0 188 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
mkl_fft-1.0.15 | py36h5e564d8_0 160 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
mkl_random-1.1.1 | py36h959d312_0 334 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
numpy-1.18.1 | py36h7241aed_0 5 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
numpy-base-1.18.1 | py36h3304bdc_1 5.0 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
openssl-1.1.1g | h1de35cc_0 3.4 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
opt_einsum-3.1.0 | py_0 54 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
protobuf-3.11.4 | py36h0a44026_0 695 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
scipy-1.4.1 | py36h9fa6033_0 16.8 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
six-1.15.0 | py_0 13 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorboard-2.0.0 | pyhb38c66f_1 3.3 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorflow-2.0.0 |mkl_py36ha38f243_0 4 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorflow-base-2.0.0 |mkl_py36h66b1bf0_0 107.9 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorflow-estimator-2.0.0 | pyh2649769_0 272 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
termcolor-1.1.0 | py36_1 7 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
werkzeug-1.0.1 | py_0 243 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
wrapt-1.12.1 | py36h1de35cc_1 45 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
------------------------------------------------------------
Total: 307.1 MB
The following NEW packages will be INSTALLED:
_tflow_select anaconda/pkgs/main/osx-64::_tflow_select-2.3.0-mkl
absl-py anaconda/pkgs/main/osx-64::absl-py-0.9.0-py36_0
astor anaconda/pkgs/main/osx-64::astor-0.8.0-py36_0
blas anaconda/pkgs/main/osx-64::blas-1.0-mkl
c-ares anaconda/pkgs/main/osx-64::c-ares-1.15.0-h1de35cc_1001
gast anaconda/pkgs/main/osx-64::gast-0.2.2-py36_0
google-pasta anaconda/pkgs/main/noarch::google-pasta-0.2.0-py_0
grpcio anaconda/pkgs/main/osx-64::grpcio-1.16.1-py36h044775b_1
h5py anaconda/pkgs/main/osx-64::h5py-2.10.0-py36h3134771_0
hdf5 anaconda/pkgs/main/osx-64::hdf5-1.10.4-hfa1e0ec_0
intel-openmp anaconda/pkgs/main/osx-64::intel-openmp-2019.4-233
keras-applications anaconda/pkgs/main/noarch::keras-applications-1.0.8-py_0
keras-preprocessi~ anaconda/pkgs/main/noarch::keras-preprocessing-1.1.0-py_1
libgfortran anaconda/pkgs/main/osx-64::libgfortran-3.0.1-h93005f0_2
libprotobuf anaconda/pkgs/main/osx-64::libprotobuf-3.11.4-hd9629dc_0
markdown anaconda/pkgs/main/osx-64::markdown-3.1.1-py36_0
mkl anaconda/pkgs/main/osx-64::mkl-2019.4-233
mkl-service anaconda/pkgs/main/osx-64::mkl-service-2.3.0-py36hfbe908c_0
mkl_fft anaconda/pkgs/main/osx-64::mkl_fft-1.0.15-py36h5e564d8_0
mkl_random anaconda/pkgs/main/osx-64::mkl_random-1.1.1-py36h959d312_0
numpy anaconda/pkgs/main/osx-64::numpy-1.18.1-py36h7241aed_0
numpy-base anaconda/pkgs/main/osx-64::numpy-base-1.18.1-py36h3304bdc_1
opt_einsum anaconda/pkgs/main/noarch::opt_einsum-3.1.0-py_0
protobuf anaconda/pkgs/main/osx-64::protobuf-3.11.4-py36h0a44026_0
scipy anaconda/pkgs/main/osx-64::scipy-1.4.1-py36h9fa6033_0
six anaconda/pkgs/main/noarch::six-1.15.0-py_0
tensorboard anaconda/pkgs/main/noarch::tensorboard-2.0.0-pyhb38c66f_1
tensorflow anaconda/pkgs/main/osx-64::tensorflow-2.0.0-mkl_py36ha38f243_0
tensorflow-base anaconda/pkgs/main/osx-64::tensorflow-base-2.0.0-mkl_py36h66b1bf0_0
tensorflow-estima~ anaconda/pkgs/main/noarch::tensorflow-estimator-2.0.0-pyh2649769_0
termcolor anaconda/pkgs/main/osx-64::termcolor-1.1.0-py36_1
werkzeug anaconda/pkgs/main/noarch::werkzeug-1.0.1-py_0
wrapt anaconda/pkgs/main/osx-64::wrapt-1.12.1-py36h1de35cc_1
The following packages will be SUPERSEDED by a higher-priority channel:
ca-certificates pkgs/main --> anaconda/pkgs/main
certifi pkgs/main --> anaconda/pkgs/main
openssl pkgs/main --> anaconda/pkgs/main
Proceed ([y]/n)? y
Downloading and Extracting Packages
ca-certificates-2020 | 132 KB | ################################################################################################## | 100%
_tflow_select-2.3.0 | 3 KB | ################################################################################################## | 100%
c-ares-1.15.0 | 83 KB | ################################################################################################## | 100%
mkl_fft-1.0.15 | 160 KB | ################################################################################################## | 100%
blas-1.0 | 5 KB | ################################################################################################## | 100%
libgfortran-3.0.1 | 495 KB | ################################################################################################## | 100%
google-pasta-0.2.0 | 44 KB | ################################################################################################## | 100%
absl-py-0.9.0 | 165 KB | ################################################################################################## | 100%
mkl_random-1.1.1 | 334 KB | ################################################################################################## | 100%
six-1.15.0 | 13 KB | ################################################################################################## | 100%
mkl-2019.4 | 155.2 MB | ################################################################################################## | 100%
gast-0.2.2 | 138 KB | ################################################################################################## | 100%
tensorflow-estimator | 272 KB | ################################################################################################## | 100%
keras-applications-1 | 33 KB | ################################################################################################## | 100%
tensorflow-2.0.0 | 4 KB | ################################################################################################## | 100%
certifi-2020.4.5.1 | 159 KB | ################################################################################################## | 100%
wrapt-1.12.1 | 45 KB | ################################################################################################## | 100%
numpy-base-1.18.1 | 5.0 MB | ################################################################################################## | 100%
keras-preprocessing- | 36 KB | ################################################################################################## | 100%
tensorflow-base-2.0. | 107.9 MB | ################################################################################################## | 100%
opt_einsum-3.1.0 | 54 KB | ################################################################################################## | 100%
grpcio-1.16.1 | 944 KB | ################################################################################################## | 100%
h5py-2.10.0 | 1003 KB | ################################################################################################## | 100%
protobuf-3.11.4 | 695 KB | ################################################################################################## | 100%
werkzeug-1.0.1 | 243 KB | ################################################################################################## | 100%
scipy-1.4.1 | 16.8 MB | ################################################################################################## | 100%
libprotobuf-3.11.4 | 4.5 MB | ################################################################################################## | 100%
mkl-service-2.3.0 | 188 KB | ################################################################################################## | 100%
markdown-3.1.1 | 113 KB | ################################################################################################## | 100%
numpy-1.18.1 | 5 KB | ################################################################################################## | 100%
openssl-1.1.1g | 3.4 MB | ################################################################################################## | 100%
hdf5-1.10.4 | 4.5 MB | ################################################################################################## | 100%
intel-openmp-2019.4 | 1.1 MB | ################################################################################################## | 100%
tensorboard-2.0.0 | 3.3 MB | ################################################################################################## | 100%
termcolor-1.1.0 | 7 KB | ################################################################################################## | 100%
astor-0.8.0 | 45 KB | ################################################################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(tensorflow) appledeMBP-5:~ apple$ python
Python 3.6.10 |Anaconda, Inc.| (default, May 7 2020, 23:06:31)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> tf.__version__
'2.0.0'
>>> tf.keras.__version__
'2.2.4-tf'
>>> exit()
(tensorflow) appledeMBP-5:~ apple$ pip3 install tplotlib
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
^[[AERROR: Could not find a version that satisfies the requirement tplotlib (from versions: none)
ERROR: No matching distribution found for tplotlib
(tensorflow) appledeMBP-5:~ apple$ pip3 install matplotlib
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting matplotlib
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/0d/61/b741990b429341bac1af5f5c645ee7aaa3bbe7daf3418d283c92c4b5ee82/matplotlib-3.2.1-cp37-cp37m-macosx_10_9_x86_64.whl (12.4 MB)
Collecting cycler>=0.10
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/f7/d2/e07d3ebb2bd7af696440ce7e754c59dd546ffe1bbe732c8ab68b9c834e61/cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
Collecting python-dateutil>=2.1
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d4/70/d60450c3dd48ef87586924207ae8907090de0b306af2bce5d134d78615cb/python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)
Collecting kiwisolver>=1.0.1
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/81/c5/9831f281c6fb57945e83fdf39ff036cacfdc84aa1988bb3150b330533050/kiwisolver-1.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (60 kB)
Collecting numpy>=1.11
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/3e/00/0266fefaafb839760d5b25b884375b2ab0f842ebe138ee6c1ef807af44bb/numpy-1.18.5-cp37-cp37m-macosx_10_9_x86_64.whl (15.1 MB)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8a/bb/488841f56197b13700afd5658fc279a2025a39e22449b7cf29864669b15d/pyparsing-2.4.7-py2.py3-none-any.whl (67 kB)
Collecting six
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ee/ff/48bde5c0f013094d729fe4b0316ba2a24774b3ff1c52d924a8a4cb04078a/six-1.15.0-py2.py3-none-any.whl (10 kB)
ERROR: traitlets 4.3.3 requires decorator, which is not installed.
ERROR: keras-applications 1.0.8 requires h5py, which is not installed.
ERROR: ipython 7.13.0 requires decorator, which is not installed.
Installing collected packages: six, cycler, python-dateutil, kiwisolver, numpy, pyparsing, matplotlib
Successfully installed cycler-0.10.0 kiwisolver-1.2.0 matplotlib-3.2.1 numpy-1.18.5 pyparsing-2.4.7 python-dateutil-2.8.1 six-1.15.0
(tensorflow) appledeMBP-5:~ apple$ conda install matplotlib
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /Users/apple/anaconda3/envs/tensorflow
added / updated specs:
- matplotlib
The following packages will be downloaded:
package | build
---------------------------|-----------------
cycler-0.10.0 | py36hfc81398_0 13 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
freetype-2.9.1 | hb4e5f40_0 864 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
kiwisolver-1.2.0 | py36h04f5b5a_0 62 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libpng-1.6.37 | ha441bb4_0 325 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
matplotlib-3.1.3 | py36_0 20 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
matplotlib-base-3.1.3 | py36h9aa3819_0 6.6 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pyparsing-2.4.7 | py_0 64 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
------------------------------------------------------------
Total: 7.9 MB
The following NEW packages will be INSTALLED:
cycler anaconda/pkgs/main/osx-64::cycler-0.10.0-py36hfc81398_0
freetype anaconda/pkgs/main/osx-64::freetype-2.9.1-hb4e5f40_0
kiwisolver anaconda/pkgs/main/osx-64::kiwisolver-1.2.0-py36h04f5b5a_0
libpng anaconda/pkgs/main/osx-64::libpng-1.6.37-ha441bb4_0
matplotlib anaconda/pkgs/main/osx-64::matplotlib-3.1.3-py36_0
matplotlib-base anaconda/pkgs/main/osx-64::matplotlib-base-3.1.3-py36h9aa3819_0
pyparsing anaconda/pkgs/main/noarch::pyparsing-2.4.7-py_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
matplotlib-base-3.1. | 6.6 MB | ##################################### | 100%
cycler-0.10.0 | 13 KB | ##################################### | 100%
matplotlib-3.1.3 | 20 KB | ##################################### | 100%
kiwisolver-1.2.0 | 62 KB | ##################################### | 100%
pyparsing-2.4.7 | 64 KB | ##################################### | 100%
freetype-2.9.1 | 864 KB | ##################################### | 100%
libpng-1.6.37 | 325 KB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(tensorflow) appledeMBP-5:~ apple$ jupyter notebook
Traceback (most recent call last):
File "/Users/apple/anaconda3/envs/tensorflow/bin/jupyter", line 11, in <module>
sys.exit(main())
File "/Users/apple/anaconda3/envs/tensorflow/lib/python3.6/site-packages/jupyter_core/command.py", line 247, in main
command = _jupyter_abspath(subcommand)
File "/Users/apple/anaconda3/envs/tensorflow/lib/python3.6/site-packages/jupyter_core/command.py", line 134, in _jupyter_abspath
'Jupyter command `{}` not found.'.format(jupyter_subcommand)
Exception: Jupyter command `jupyter-notebook` not found.
(tensorflow) appledeMBP-5:~ apple$