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https://github.com/clearlinux/graphene.git
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Dmitrii Kuvaiskii
84a71a0e49
Our current TensorFlow example is actually TensorFlow Lite (less functional version of TensorFlow, used only for inference). Rename it to avoid confusion of new users.
18 lines
753 B
Markdown
18 lines
753 B
Markdown
This example demonstrates how to run TensorFlow Lite v1.9. In particular, the
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example runs `label_image` program on Graphene. It reads an input image
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`image.bmp` from the current directory and uses TensorFlow Lite and the
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Inception v3 model to label the image.
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To install build dependencies on Ubuntu there is a convenience target invoked
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with `make install-dependencies-ubuntu`. This also serves as a starting point to
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figure out which packages to install on newer releases of Ubuntu.
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To build TensorFlow Lite and Graphene artifacts:
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- without SGX do `make`
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- with SGX do `make SGX=1 `
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To run the image labeling example:
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- without Graphene do `make run-native`
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- with Graphene do `make run-graphene`
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- with Graphene-SGX do `make SGX=1 run-graphene`
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