Pipenv: Cannot install tensorflow

[morenoh149]

Issue description

error installing tensorflow, following instructions at https://www.tensorflow.org/install/install_mac

$ pipenv install tensorflow                                                           
Installing tensorflow...
Collecting tensorflow

Error:  An error occurred while installing tensorflow!
  Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow

Expected result

install tensorflow

Actual result

tensorflow not installed

Steps to replicate

make a new pipenv project

install jupyterlab

install keras

install tensorflow

---

$ pipenv --support

Pipenv version: '2018.7.1'

Pipenv location: '/usr/local/Cellar/pipenv/2018.7.1/libexec/lib/python3.7/site-packages/pipenv'

Python location: '/usr/local/Cellar/pipenv/2018.7.1/libexec/bin/python3.7'

Other Python installations in PATH:

• 2.7: /usr/local/bin/python2.7
• 2.7: /usr/local/bin/python2.7
• 2.7: /usr/bin/python2.7
• 3.7: /usr/local/bin/python3.7m
• 3.7: /Users/harrymoreno/.local/share/virtualenvs/DLwP-ZqM5COLn/bin/python3.7

• 3.7: /usr/local/bin/python3.7

• 3.7.0: /Users/harrymoreno/.local/share/virtualenvs/DLwP-ZqM5COLn/bin/python

• 2.7.15: /usr/local/bin/python
• 2.7.10: /usr/bin/python
• 2.7.15: /usr/local/bin/python2
• 3.7.0: /Users/harrymoreno/.local/share/virtualenvs/DLwP-ZqM5COLn/bin/python3
• 3.7.0: /usr/local/bin/python3

PEP 508 Information:

{'implementation_name': 'cpython',
 'implementation_version': '3.7.0',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.7.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.7.0: Thu Jun 21 22:53:14 PDT '
                     '2018; root:xnu-4570.71.2~1/RELEASE_X86_64',
 'python_full_version': '3.7.0',
 'python_version': '3.7',
 'sys_platform': 'darwin'}

System environment variables:

• PATH
• MANPATH
• NIX_PROFILES
• TERM_PROGRAM
• GEM_HOME
• ANDROID_HOME
• PIP_PYTHON_PATH
• SHELL
• TERM
• TMPDIR
• Apple_PubSub_Socket_Render
• NVM_PATH
• TERM_PROGRAM_VERSION
• ANDROID_SDK_ROOT
• TERM_SESSION_ID
• ZSH
• NVM_DIR
• USER
• NIX_REMOTE
• SSH_AUTH_SOCK
• __CF_USER_TEXT_ENCODING
• VIRTUAL_ENV
• PAGER
• TMUX
• LSCOLORS
• PIPENV_ACTIVE
• _
• NVM_NODEJS_ORG_MIRROR
• NIX_PATH
• PWD
• HOMEBREW_GITHUB_API_TOKEN
• LANG
• TMUX_PANE
• XPC_FLAGS
• NIX_SSL_CERT_FILE
• RUBY_ENGINE
• PYTHONDONTWRITEBYTECODE
• XPC_SERVICE_NAME
• HOME
• SHLVL
• GEM_ROOT
• LESS
• LOGNAME
• GEM_PATH
• LC_CTYPE
• RUBY_ROOT
• NVM_BIN
• PGDATA
• NVM_IOJS_ORG_MIRROR
• RUBYOPT
• RUBY_VERSION
• NIX_USER_PROFILE_DIR

Pipenv–specific environment variables:

• PIPENV_ACTIVE: 1

Debug–specific environment variables:

• PATH: /usr/local/Cellar/pipenv/2018.7.1/libexec/tools:/Users/harrymoreno/.local/share/virtualenvs/DLwP-ZqM5COLn/bin:/Users/harrymoreno/.gem/ruby/2.3.1/bin:/Users/harrymoreno/.rubies/ruby-2.3.1/lib/ruby/gems/2.3.0/bin:/Users/harrymoreno/.rubies/ruby-2.3.1/bin:/Users/harrymoreno/.yarn/bin:/Users/harrymoreno/.config/yarn/global/node_modules/.bin:/usr/local/go/bin:/Users/harrymoreno/.nix-profile/bin:/nix/var/nix/profiles/default/bin:/Users/harrymoreno/programming/google-cloud-sdk/bin:/usr/local/opt/openssl/bin:/Users/harrymoreno/.nvm/versions/node/v10.4.1/bin:/usr/local/bin:/usr/local/sbin:/usr/bin:/bin:/usr/sbin:/sbin:/Library/TeX/Distributions/.DefaultTeX/Contents/Programs/texbin:/Applications/FirefoxDeveloperEdition.app/Contents/MacOS:/Users/harrymoreno/Library/Android/sdk/tools:/Users/harrymoreno/Library/Android/sdk/tools/bin:/Users/harrymoreno/Library/Android/sdk/platform-tools:/bin
• SHELL: /bin/zsh
• LANG: en_US.UTF-8
• PWD: /Users/harrymoreno/programming/keras/DLwP
• VIRTUAL_ENV: /Users/harrymoreno/.local/share/virtualenvs/DLwP-ZqM5COLn

---

Contents of Pipfile ('/Users/harrymoreno/programming/keras/DLwP/Pipfile'):

[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[packages]
jupyterlab = "*"
keras = "*"

[dev-packages]

[requires]
python_version = "3.7"

Contents of Pipfile.lock ('/Users/harrymoreno/programming/keras/DLwP/Pipfile.lock'):

{
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[morenoh149]

solved by using their argument pipenv install --verbose https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.9.0-py3-none-any.whl find the latest wheel at https://www.tensorflow.org/install/install_mac#the_url_of_the_tensorflow_python_package

[asmaier]

This is just a workaround and not a solution. I think the ticket should be reopenend.

[uranusjr]

@asmaier The root problem is Tensorflow does not release any Python 3.7-compatible version on PyPI. There is no viable solution for Pipenv to take; you need to raise this to Tensorflow instead.

[asmaier]

I can confirm I was able to install tensorflow with pipenv using python 3.6.5 . It doesn't work with python 3.7.0 though.

[uranusjr]

It does not work because Tensorflow does not provide anything compatible with Python 3.7, and Pipenv cannot assume it does. This needs to be addressed by Tensorflow maintainers.

[asmaier]

But a better error message e.g.

"Could not find a version that satisfies the requirement tensorflow (from versions: ) for Python 3.7.0."

would help to clarify the problem.

[techalchemy]

That level of granularity would be nice but is not a top priority — we would definitely accept contributions that add that additional detail

[morenoh149]

moreover, tensorflow will likely release a 3.7 compatible version, you just have to wait @asmaier or look into https://github.com/pyenv/pyenv to control your dependencies more granularly.

I agree it'd be nice if there was a more obvious way to know what's wrong, but if someone cares enough I'm sure they'll find this issue. This will only be a problem for the next 6 months or so.

[asmaier]

This will only be a problem for the next 6 months or so.

I think this will be a problem everytime a new Python version comes out and package maintainers didn't manage to create a compatible version immediately. This affects not only tensorflow installation via pipenv, but every package installation with pipenv.

[morenoh149]

@asmaier you may be right, didn't think about it that way. Please open another issue for dealing with python version dependency when installing a package.

I'm not knowledgeable enough about python installs and package dependency declarations. Would it be possible to achieve this? packages would need to declare their dependency and the system python version must be inspectable at runtime.

[uranusjr]

There are two parts to this problem. The first part is that Pipenv cannot just assume a package is compatible unless it declares itself so. In Tensorflow’s case, it does not, and Pipenv can’t do anything about this installation failure because and there’s no way for Pipenv to tell if a package is in fact compatible (without installing it and breack everything first).

The second part is how a package can keep up with a new Python release. There are several ways to do this, but for Tensorflow specifically the best solution is to release a universal wheel. If you look at the filename listed on their website (also mentioned above), it shows something like

tensorflow-1.9.0-py3-none-any.whl

Compared to their file uploads on PyPI

tensorflow-1.9.0-cp27-cp27m-macosx_10_11_x86_64.whl
tensorflow-1.9.0-cp27-cp27mu-manylinux1_x86_64.whl
tensorflow-1.9.0-cp33-cp33m-macosx_10_11_x86_64.whl
tensorflow-1.9.0-cp33-cp33m-manylinux1_x86_64.whl
tensorflow-1.9.0-cp34-cp34m-macosx_10_11_x86_64.whl
tensorflow-1.9.0-cp34-cp34m-manylinux1_x86_64.whl
tensorflow-1.9.0-cp35-cp35m-macosx_10_11_x86_64.whl
tensorflow-1.9.0-cp35-cp35m-manylinux1_x86_64.whl
tensorflow-1.9.0-cp35-cp35m-win_amd64.whl
tensorflow-1.9.0-cp36-cp36m-macosx_10_11_x86_64.whl
tensorflow-1.9.0-cp36-cp36m-manylinux1_x86_64.whl
tensorflow-1.9.0-cp36-cp36m-win_amd64.whl

and it became clear why the URL installation succeeds, while PyPI fails. The filename from their website shows py3-none-any, which means it can be installed on “any Python 3, any implementation, any operating system”, while files on PyPI all specify their specific environment requirements.

So the easiest way out for me is to urge Tensorflow maintainers to always at least upload a tensorflow-1.9.0-py3-<something> wheel for each release, to be more future-proof. pip (and by extension Pipenv) is smart enough to choose the most specific match when there are multiple available, so uploading a py3 wheel will not affect people already using others.

Now, all of the above should really be a conversation to Tensorflow maintainers, not Pipenv. As mentioned above, there is nothing Pipenv can do here. If you have a problem with Tensorflow’s release strategy, please take the conversation to their issue tracker. If you feel Python needs to change the specifying strategy so pakcage maintainers don’t need to worry about these, start a discussion on distutils-sig to proposal a change of specification. Pipenv is doing things by the book in this case, and shouldn’t be resposible of hosting discussions around it.

[UHayyat007]

thanks alot buddy you save my fyp