8000 LBFGS always give nan results, why · Issue #5953 · pytorch/pytorch · GitHub
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LBFGS always give nan results, why #5953
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LBFGS always give nan results, why#5953
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module: numerical-stabilityProblems related to numerical stability of operationsmodule: optimizerRelated to torch.optimneeds reproductionSomeone else needs to try reproducing the issue given the instructions. No action needed from usertriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
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jyzhang-bjtu
opened on Mar 23, 2018

I use the LBFGS alogorithm, and found that if maxiter is larger enough, i.e., maxiter >10, the optimizer always give nan results. Why?

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module: numerical-stabilityProblems related to numerical stability of operationsmodule: optimizerRelated to torch.optimneeds reproductionSomeone else needs to try reproducing the issue given the instructions. No action needed from usertriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

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