Common interface for Theano, CGT, TensorFlow, and mxnet (experimental).

The recommended way to install this library is python setup.py develop.

The current API for TensorFuse is geared towards migrating existing Theano-based code to using CGT, TensorFlow. Therefore, if you have some code that uses Theano, you can simply change the import statements to

import tensorfuse as theano
import tensorfuse.tensor as T

Then (hopefully) your code can switch between Theano / CGT / TensorFlow easily. The choice is controlled by an environment variable TENSORFUSE_MODE, with valid values theano, cgt, tensorflow, or tf for abbreviation (if no environment variable is set, then it defaults to Theano). Therefore, to run the code in TensorFlow mode, you can either set the environment variable before running the script, or add the following to the beginning of the file:

import os
os.environ['TENSORFUSE_MODE'] = 'tensorflow' # or 'tf'

To run the code in CGT mode, do the following:

import os
os.environ['TENSORFUSE_MODE'] = 'cgt'

python tensorfuse/benchmark/run_benchmark.py tensorfuse/benchmark/simple_ops.py