lilin-git

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The smoothness loss is also different: I kept getting nan with the logarithmic operation so I deleted that part, the left part could be seen as total-variation loss (tv-loss)

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You normalize the data in (-1,1) and the parameter of tf. log () is greater than 0, so loss is nan.