  Modern machine learning models have started to consume incredible amounts of
energy, thus incurring large carbon footprints (Strubell et al., 2019). To
address this issue, we have created an energy estimation pipeline1, which
allows practitioners to estimate the energy needs of their models in advance,
without actually running or training them. We accomplished this, by collecting
high-quality energy data and building a first baseline model, capable of
predicting the energy consumption of DL models by accumulating their estimated
layer-wise energies.
