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Evaluation degradation w.r.t runtime and memory usage
Dears,
Thank you very much for your amazing work! I have one question regarding the evaluation performance, I noticed that the evaluation step takes almost the same time as training one epoch, which is weird for me. Also, I noticed the GPU memory also is reserved with the same amount during both phases, i.e., training and testing. Thus, I feel like the evaluation loop should be optimized more. I tried to optimize it but unfortunately, I couldn't find the root cause of this degradation in the runtime performance.
Thanks in advance!