XProf Demo

Open in Colab

This is a simple demonstration of XProf's capabilites, on an example training workload running on Cloud TPUs.

# Install the stable version of the profiler plugin
pip install -U tensorboard_plugin_profile
 
# Update protobuf version in the environment
pip install -U protobuf
 
# git clone the xprof repo so we have access to the demo data there
git clone http://github.com/openxla/xprof
 
Cloning into 'xprof'...
warning: redirecting to https://github.com/openxla/xprof/
remote: Enumerating objects: 14319, done.
remote: Counting objects: 100% (3038/3038), done.
remote: Compressing objects: 100% (791/791), done.
remote: Total 14319 (delta 2528), reused 2254 (delta 2247), pack-reused 11281 (from 3)
Receiving objects: 100% (14319/14319), 52.69 MiB | 36.63 MiB/s, done.
Resolving deltas: 100% (10777/10777), done.

# Load the TensorBoard notebook extension.
%load_ext tensorboard

# Launch TensorBoard and navigate to the Profile tab to view performance profile
%tensorboard --logdir=xprof/demo

Once tensorboard loads the profile data, use the tools drop down to explore various tools. Please see the per-tool documentation pages for an explanation of what you're seeing.