Installing specific tensorflow branch with pip

Question

I am working on this project which was tested with tensorflow v0.10.0rc0 .

I don't want to take any dependency risks, and I'm a bit confused about this syntax version (instead of less cryptic 1.0 , 1.1 , 1.2 , 1.3 and 1.4 versions)

so how do I safely install this v0.10.0rc0 version using a pip command?

Answer 1

You can see the history of official pip dependencies by doing the following:

pypi.python.org/simple/<nameofpackage>/

The one you're interested in is linked here . These are all the available packages and there are some v0.12 versions and alike there you can try.

To install a specific version of the package, do the following:

pip install -I tensorflow==<version>

NOTE : You can also install packages which are hosted externally by replacing tensorflow== with the HTTP link.

Answer 2

To install a specific version with pip:

pip install tensorflow==<VERSION>

However, the specific version you want is not available via pip and I'm afraid you're going to have to compile from source if you want to use it .

Available pip3 versions (nov 18, 2017):

0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0

Available pip2 versions (nov 18, 2017):

0.12.0rc0, 0.12.0rc1, 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0