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clipping before optimizing step. #5

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@srinadhu srinadhu commented Jul 10, 2019

@emited Please check and let me know.

  1. Added clipping before the optimizer step.
  2. Updated with .item() rather than .data[0]
  3. Input is normalized but the reconstruction is done for the unnormalized image so this is removed
  4. Loss get's NAN sometimes and so added 1e-5 as epsilon in the std2 denominator

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