Hi -devel, The only officially supported build system for Tensorflow is bazel[1], which is not present in our archive due to some reasons. A possible solution to build tensorflow for Debian in forward-engineering style is to write an alternative build system to approximate the original build system. It is difficult because the structure and build process for the 4.5 million lines of code is quite complex. It's also hard to keep the proximity between the resulting binaries and the official binary releases.
Another angle for addressing the building problem is in the reverse-engineering style: parse the bazel buildlog, rebuild the dependency graph and generate a ninja build for it. See [2]. Building tensorflow in this way could significantly reduce the discrepancy between resulting binaries and official binaries, because such a build basically replays the original build sequence. So the resulting shared objects are expected to be good enough. Currently the following shared objects can be built along the described way: * libtensorflow_framework.so (fundamental) * libtensorflow.so (C) * libtensorflow_cc.so (C++) They are almost identical to the official binary, except for some manually removed parts. Building the python package is a little bit more complex, but parsing buildlogs is supposed to be simple enough for me to proceed. Far better than the two previous uploads. The old build system builds imprecise shared objects. [1] https://bazel.build/ [2] https://salsa.debian.org/science-team/tensorflow/blob/lumin/debian/fakebazel.py [3] https://salsa.debian.org/science-team/tensorflow/tree/lumin/
