starimpact commented on issue #15102: the grad of lars should be scaled in lbsgd URL: https://github.com/apache/incubator-mxnet/issues/15102#issuecomment-542476256 _l2norm is time consuming for a large parameter, so I suggest it should be: ```python def _l2norm(self, v): "inner product implementation" #for big local parameter v = v.reshape(-1) if len(v) > 100000: step = len(v)/100000+1 v = v[::step] norm = multiply(v, v).asnumpy().sum() #norm = (multiply(v, v).sum()).asnumpy() norm = math.sqrt(norm) return norm ```
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