dingzeyuli

Training TensorFlow models in C++

Python is the primary language in which TensorFlow models are typically developed and trained. TensorFlow does have bindings for other programming languages. These bindings have the low-level primitives that are required to build a more complete API, however, lack much of the higher-level API richness of the Python bindings, particularly for defining the model structure.

This file demonstrates taking a model (a TensorFlow graph) created by a Python program and running the training loop in C++.

dingzeyuli

#!/bin/sh
# whenever you use "scp", use "copy" instead, it ignores duplicate files.

rsync -azhe ssh --progress $1 $2

dingzeyuli

# http://webapps.stackexchange.com/questions/39587/view-estimated-size-of-github-repository-before-cloning
# tested on macOS
echo https://github.com/torvalds/linux.git | perl -ne 'print $1 if m!([^/]+/[^/]+?)(?:\.git)?$!' | xargs -I{} curl -s -k https://api.github.com/repos/'{}' | grep size

# output: 
# "size": 1746294,