NOTE: We're in the process of adding better instructions. Check back in a bit.
Google currently offers free access to Cloud TPUs through its Colab notebook
service. Colab does not officially support julia at the moment, but it is
possible to install julia by manually installing it into the runtime (though
this has to be done every time the runtime gets reset). By this mechanism,
you can get access to TPUs through the notebook interface. Start with the installation
Afterwards, any JuliaTPU notebook should work if opened without resetting the runtime in between.
The process for setting up this repository to run against TPUs is much the same as the process for setting up the repository locally. However, since there is additional steps involved in launching the actual TPU, we are providing a tutorial to walk you through all the steps. It is recommended for those new to Julia and/or TPUs. If you're already familiar with both, you may skip the tutorial and just use the setup guide below. The tutorial will open in Google Cloud Shell, by clicking the button below:
julia> using TensorFlow
xrt_server(either running it locally via
run(`$(joinpath(dirname(pathof(TensorFlow)),"..","deps","downloads","bin","xrt_server"))`)or by spinning up a Google Cloud TPU and starting an SSH tunnel to expose its port to the world) and connect it to localhost:8470
1 day ago