Fangjun Kuang
Committed by GitHub

Avoid NaN in feature normalization. (#2186)

... ... @@ -49,6 +49,11 @@ static void ComputeMeanAndInvStd(const float *p, int32_t num_rows,
(*mean)[i] = t;
float stddev = std::sqrt(sum_sq[i] / num_rows - t * t);
if (stddev != stddev) {
stddev = 0;
}
(*inv_stddev)[i] = 1.0f / (stddev + 1e-5f);
}
}
... ...