Profiling Lux Training Loops

Only for Reactant

This tutorial is applicable iff you are using Reactant.jl (AutoEnzyme with ReactantDevice) for training.

To profile the training loop, wrap the training loop with Reactant.with_profiler and pass the path to the directory where the traces should be saved. Note that this will have some overhead and hence should be used only for debugging purposes.

A simple example is shown below:

using Reactant, Lux, Random, MLUtils, Optimisers

dev = reactant_device()

x_data = rand(Float32, 32, 1024)
y_data = x_data .^ 2 .- 1

dl = DataLoader((x_data, y_data); batchsize=32, shuffle=true) |> dev;

model = Chain(Dense(32 => 64, relu), Dense(64 => 32))
ps, st = Lux.setup(Random.default_rng(), model) |> dev;

Reactant.with_profiler(joinpath(tempdir(), "lux_training_trace")) do
    train_state = Training.TrainState(model, ps, st, Adam(0.001))
    for epoch in 1:10
        for (x, y) in dl
            _, loss, _, train_state = Training.single_train_step!(
                AutoEnzyme(), MSELoss(), (x, y), train_state; return_gradients=Val(false)
            )
        end
    end
end

WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1770149239.836350   11569 profiler_session.cc:117] Profiler session initializing.
I0000 00:00:1770149239.836585   11569 profiler_session.cc:132] Profiler session started.
I0000 00:00:1770149274.813801   11569 profiler_session.cc:81] Profiler session collecting data.
I0000 00:00:1770149274.879364   11569 save_profile.cc:150] Collecting XSpace to repository: /tmp/lux_training_trace/plugins/profile/2026_02_03_20_07_54/runnervmkj6or.xplane.pb
I0000 00:00:1770149274.937450   11569 save_profile.cc:123] Creating directory: /tmp/lux_training_trace/plugins/profile/2026_02_03_20_07_54

I0000 00:00:1770149274.988728   11569 save_profile.cc:129] Dumped gzipped tool data for trace.json.gz to /tmp/lux_training_trace/plugins/profile/2026_02_03_20_07_54/runnervmkj6or.trace.json.gz
I0000 00:00:1770149275.009928   11569 profiler_session.cc:150] Profiler session tear down.

Once the run is completed, you can use xprof to analyze the traces. An example of the output is shown below: