I attempted to reproduce your issue with the instructions you gave and couldn’t:
$ pip3 install tensorflow
Collecting tensorflow
Downloading tensorflow-2.6.0-cp38-cp38-manylinux2010_x86_64.whl (458.4 MB)
|████████████████████████████████| 458.4 MB 9.0 MB/s
Collecting absl-py~=0.10
Downloading absl_py-0.14.0-py3-none-any.whl (131 kB)
|████████████████████████████████| 131 kB 6.1 MB/s
Collecting google-pasta~=0.2
Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)
|████████████████████████████████| 57 kB 5.2 MB/s
Collecting tensorboard~=2.6
Downloading tensorboard-2.6.0-py3-none-any.whl (5.6 MB)
|████████████████████████████████| 5.6 MB 4.6 MB/s
Collecting tensorflow-estimator~=2.6
Downloading tensorflow_estimator-2.6.0-py2.py3-none-any.whl (462 kB)
|████████████████████████████████| 462 kB 4.1 MB/s
Collecting protobuf>=3.9.2
Using cached protobuf-3.18.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
Collecting opt-einsum~=3.3.0
Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
|████████████████████████████████| 65 kB 4.7 MB/s
Collecting wheel~=0.35
Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB)
Collecting gast==0.4.0
Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting clang~=5.0
Downloading clang-5.0.tar.gz (30 kB)
Collecting termcolor~=1.1.0
Using cached termcolor-1.1.0.tar.gz (3.9 kB)
Collecting typing-extensions~=3.7.4
Downloading typing_extensions-3.7.4.3-py3-none-any.whl (22 kB)
Collecting h5py~=3.1.0
Downloading h5py-3.1.0-cp38-cp38-manylinux1_x86_64.whl (4.4 MB)
|████████████████████████████████| 4.4 MB 4.3 MB/s
Collecting keras-preprocessing~=1.1.2
Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
|████████████████████████████████| 42 kB 2.2 MB/s
Collecting grpcio<2.0,>=1.37.0
Using cached grpcio-1.40.0-cp38-cp38-manylinux2014_x86_64.whl (4.3 MB)
Collecting six~=1.15.0
Using cached six-1.15.0-py2.py3-none-any.whl (10 kB)
Collecting flatbuffers~=1.12.0
Downloading flatbuffers-1.12-py2.py3-none-any.whl (15 kB)
Collecting numpy~=1.19.2
Using cached numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl (14.9 MB)
Collecting wrapt~=1.12.1
Using cached wrapt-1.12.1.tar.gz (27 kB)
Collecting keras~=2.6
Downloading keras-2.6.0-py2.py3-none-any.whl (1.3 MB)
|████████████████████████████████| 1.3 MB 4.9 MB/s
Collecting astunparse~=1.6.3
Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting google-auth-oauthlib<0.5,>=0.4.1
Using cached google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)
Collecting markdown>=2.6.8
Using cached Markdown-3.3.4-py3-none-any.whl (97 kB)
Collecting tensorboard-data-server<0.7.0,>=0.6.0
Downloading tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl (4.9 MB)
|████████████████████████████████| 4.9 MB 4.3 MB/s
Collecting werkzeug>=0.11.15
Using cached Werkzeug-2.0.1-py3-none-any.whl (288 kB)
Collecting tensorboard-plugin-wit>=1.6.0
Downloading tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB)
|████████████████████████████████| 781 kB 3.7 MB/s
Collecting google-auth<2,>=1.6.3
Using cached google_auth-1.35.0-py2.py3-none-any.whl (152 kB)
Requirement already satisfied: setuptools>=41.0.0 in ./.venv/lib/python3.8/site-packages (from tensorboard~=2.6->tensorflow) (44.0.0)
Collecting requests<3,>=2.21.0
Using cached requests-2.26.0-py2.py3-none-any.whl (62 kB)
Collecting requests-oauthlib>=0.7.0
Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Collecting cachetools<5.0,>=2.0.0
Using cached cachetools-4.2.2-py3-none-any.whl (11 kB)
Collecting rsa<5,>=3.1.4; python_version >= "3.6"
Using cached rsa-4.7.2-py3-none-any.whl (34 kB)
Collecting pyasn1-modules>=0.2.1
Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
Collecting idna<4,>=2.5; python_version >= "3"
Using cached idna-3.2-py3-none-any.whl (59 kB)
Collecting charset-normalizer~=2.0.0; python_version >= "3"
Using cached charset_normalizer-2.0.6-py3-none-any.whl (37 kB)
Collecting urllib3<1.27,>=1.21.1
Downloading urllib3-1.26.7-py2.py3-none-any.whl (138 kB)
|████████████████████████████████| 138 kB 4.3 MB/s
Collecting certifi>=2017.4.17
Using cached certifi-2021.5.30-py2.py3-none-any.whl (145 kB)
Collecting oauthlib>=3.0.0
Using cached oauthlib-3.1.1-py2.py3-none-any.whl (146 kB)
Collecting pyasn1>=0.1.3
Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Installing collected packages: six, absl-py, google-pasta, cachetools, pyasn1, rsa, pyasn1-modules, google-auth, oauthlib, idna, charset-normalizer, urllib3, certifi, requests, requests-oauthlib, google-auth-oauthlib, grpcio, markdown, numpy, protobuf, wheel, tensorboard-data-server, werkzeug, tensorboard-plugin-wit, tensorboard, tensorflow-estimator, opt-einsum, gast, clang, termcolor, typing-extensions, h5py, keras-preprocessing, flatbuffers, wrapt, keras, astunparse, tensorflow
Running setup.py install for clang ... done
Running setup.py install for termcolor ... done
Running setup.py install for wrapt ... done
Successfully installed absl-py-0.14.0 astunparse-1.6.3 cachetools-4.2.2 certifi-2021.5.30 charset-normalizer-2.0.6 clang-5.0 flatbuffers-1.12 gast-0.4.0 google-auth-1.35.0 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 grpcio-1.40.0 h5py-3.1.0 idna-3.2 keras-2.6.0 keras-preprocessing-1.1.2 markdown-3.3.4 numpy-1.19.5 oauthlib-3.1.1 opt-einsum-3.3.0 protobuf-3.18.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.26.0 requests-oauthlib-1.3.0 rsa-4.7.2 six-1.15.0 tensorboard-2.6.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.0 tensorflow-2.6.0 tensorflow-estimator-2.6.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.7 werkzeug-2.0.1 wheel-0.37.0 wrapt-1.12.1
You should probably try to install in to a clean virtual environment.
You need to use the right version of Python and pip.
On Windows 10, with Python 3.6.X version I was facing the same problem, then after checking deliberately I noticed I had the Python-32 bit installation on my 64 bit machine. Remember TensorFlow is only compatible with 64bit installation of Python, not the 32 bit version of Python
If we download Python from python.org, the default installation would be 32 bit. So we have to download the 64 bit installer manually to install Python 64 bit. And then add below to PATH environment.
C:UsersAppDataLocalProgramsPythonPython36
C:UsersAppDataLocalProgramsPythonPython36Scripts
Then run gpupdate /Force on command prompt. If the Python command doesn’t work for 64 bit then restart your machine.
Then run python on command prompt. It should show 64 bit.
C:UsersYOURNAME>python
Python 3.6.3 (v3.6.3:2c5fed8, Oct 3 2017, 18:11:49) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Then run below command to install tensorflow CPU version (recommended)
pip3 install --upgrade tensorflow
October 2020 update:
Tensorflow now supports Python 3.5.x through Python 3.8.x, but you still have to use a 64-bit version.
If you need to run multiple versions of Python on the same machine, you can use a virtual environment to help manage them.
Sometimes you get an error when you’re trying to install a Python package
using pip. It looks like this:
Could not find a version that satisfies the requirement (from versions:)
No matching distribution found for
Some probable reasons for this error are:
-
PyPI server isn’t responding to your requests. It can happen either because
the PyPI server is down or because it has blacklisted your IP address. This
happened to me once when I was trying installing packages on a server.
This can be fixed by using a proxy with pip. See the solution below. -
You’re running an older pip (especially on Mac). This can be fixed by
upgrading your pip.
See this post on Stack Overflow.
Thanks to Anupam Jain who pointed this in a comment. -
The package you’re trying to install is not available for your Python version.
-
The package is not available for your operating system. This is a rare case
and only happens when the package is not pure-Python, i.e. it’s been
partially written in C or Cython. Such a package needs to be compiled for
every operating system (Windows/Mac/Linux) and architecture (32-bit/64-bit).
Suppose a package has only been compiled for Windows 64-bit, then you’ll get
this error if you try to install it on Windows 32-bit, or any other
OS. -
The package is not present on PyPI server. In this case pip will not work. So
you’ll have to download and install the package manually from Github or wherever
it is available.
Solution¶
I had this issue because PyPI server had blacklisted the IP
of my hosting provider, the obvious solution was to make pip install via a proxy.
But to see if that’s also the case with you, you can test it like this:
$ curl https://pypi.org
The requestors Network has been blacklisted due to excessive request volume.
If you are a hosting customer, please contact your hosting company's support.
If you are the hosting company, please contact infrastructure-staff@python.org to resolve
If you see the message similar to above, that means your IP has also been
blacklisted by https://pypi.org.
If you don’t see this message then the reason for the pip error could be that you’re using
an older version. See this post on Stack Overflow
for a solution.
Anyways, this can be fixed by using a proxy with pip.
Supplying a proxy address to pip is easy:
$ pip install -r requirements.txt --proxy address:port
Above, address and port are IP address and port of the proxy.
To find proxies, just search Google for proxy list.
Other things that I tried¶
These are some other things that I tried to get rid of this issue.
Although they didn’t work for me, but they might work for you.
- Changing DNS resolver of my server.
This makes sense if your server’s DNS resolver can’t find PyPI servers. - Reconfiguring SSL, reinstalling CA certificates.
This makes sense if you don’t have updated CA certificates which are used by
PyPI servers. - Downloading packages using
wget.
This is an alternative way to install Python packages. Download them viawget
and then install them usingpython setup.py install. In my case, the server was
blacklisted by PyPI so I was getting a 403 Forbidden error. - Downloading packages using
curl.
Alternative towget. In my case I didn’t get a 403 error but rather it just
created invalid tarball files, instead of actually downloading them. - Downloading packages using
gitorhg.
If your desired packages havegitorhgrepositories that you can clone, this
is a good workaround.