mirror of
https://github.com/clearlinux/graphene.git
synced 2026-09-04 21:01:40 +00:00
943 B
943 B
This example demonstrates how to run TensorFlow (v1.9) Lite's label_image example on Graphene. Reads an input image image.bmp from the current directory and uses TensorFlow lite and the Inception v3 model to label the image.
Known limitations:
- Tested on Ubuntu 16.04 with Graphene commit 030a088. Ubuntu 18.04 should work, but have not tested.
To install build dependencies on Ubuntu 16.04 there is a convenience target invoked with make install-dependencies-ubuntu. This also serves as a starting point to figure out which packages to install on newer releases of Ubuntu.
To build TensorFlow and Graphene artifacts:
- without SGX do
make - with SGX do
make SGX=1
To run the image labeling example of TensorFlow:
- without Graphene do
make run-native - with Graphene do
make run-graphene - with Graphene-SGX do
make SGX=1 run-graphene