TccccD edited a comment on issue #11938: l2_normalization for fp16 got 0.0 when data is very large URL: https://github.com/apache/incubator-mxnet/issues/11938#issuecomment-409432415 I define a new square like this: > MXNET_BINARY_MATH_OP(square_v, math::sqr(a) / math::sqr(b)); In l2_normalization_op-inl.h, I should find a suitable scale, I think the maximum value in in_data is OK. But I don't know how find the maximum value in a Tensor data, like Tensor<xpu, 2, DType> data; could you help me? thanks! @haojin2 @piiswrong @leezu @anirudh2290 @szha
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