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Cannot install tensorflow

See original GitHub issue

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’):

{
    "_meta": {
        "hash": {
            "sha256": "1a62e5913772d2fd730a5e56361c9407252803fdad1bb4f3f3dc9bde94910da8"
        },
        "pipfile-spec": 6,
        "requires": {
            "python_version": "3.7"
        },
        "sources": [
            {
                "name": "pypi",
                "url": "https://pypi.org/simple",
                "verify_ssl": true
            }
        ]
    },
    "default": {
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            ],
            "markers": "sys_platform == 'darwin'",
            "version": "==0.1.0"
        },
        "backcall": {
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                "sha256:bbbf4b1e5cd2bdb08f915895b51081c041bac22394fdfcfdfbe9f14b77c08bf2"
            ],
            "version": "==0.1.0"
        },
        "bleach": {
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            ],
            "version": "==2.1.3"
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        "decorator": {
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            ],
            "version": "==4.3.0"
        },
        "entrypoints": {
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                "sha256:d2d587dde06f99545fb13a383d2cd336a8ff1f359c5839ce3a64c917d10c029f"
            ],
            "markers": "python_version >= '2.7'",
            "version": "==0.2.3"
        },
        "h5py": {
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Issue Analytics

State:
Created 5 years ago
Reactions:13
Comments:12 (4 by maintainers)

Top GitHub Comments

14reactions

morenoh149commented, Jul 20, 2018

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

4reactions

uranusjrcommented, Aug 3, 2018

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.

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