Tamp is an open source C++ library for reducing the space and time costs of deep neural networks, with the goal of making them more applicable to devices with limited resources.

We recommend an virtualenv installation of TensorFlow. Detail tutorial can be found here

After successfully installed tensorflow, activate virtualenv by:

$ source ~/tensorflow/bin/activate  # If using bash

Or

$ source ~/tensorflow/bin/activate.csh  # If using csh

After that, using build script:

$ ./build_tensorflow.sh  # If linking against Intel MKL

Or

$ ./build_tensorflow-cblas.sh  # If linking against CBLAS/ATLAS

Using the our forked version of Caffe is required since the vanilla Caffe does not have an interface for Tamp-styled plugins in original version.

First, follow the instructions to build the Caffe environment. Some required protocol buffer headers are generated during this build process for Tamp integration.

Next, using build script, run:

$ ./build_caffe.sh

Once this is done, turn on Tamp by setting USE_TAMP in Caffe's Makefile.config to include the Tamp library and rebuild Caffe.

Online documants can be found at here. Additional documentation is available here are avaliable.