Published September 9, 2020 | Version v1
Working paper Open

Reproducing Figure 1 of DAWNBench with TensorFlow



This notebook reproduces Figure 1 of the DAWNBench experiment with Tensorflow. DAWNBench is a project at Stanford University that introduces a benchmark and competition that focused on end-to-end training time for a model to reach a fixed accuracy level. The paper is available at Figure 1 (the graph that we reproduce here) shows the relationship between the accuracy level and the end-to-end training time for three different batch sizes.


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