wkcn commented on issue #17143: Wrong sum of array URL: https://github.com/apache/incubator-mxnet/issues/17143#issuecomment-568251235 Hi @vjache , it is not a bug. The reason is that the default data type is `float64` in numpy, but `float32` in MXNet. ```python >>> import numpy as np >>> import mxnet.ndarray as md >>> a = [1.0504983e+07, 1.0000000e+00, 2.0000000e+00, 3.0000000e+00, 5.0000000e-01, 1.0000000e+01, ... 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00] >>> np.array(a).dtype, np.array(a).sum() (dtype('float64'), 10504999.5) >>> md.array(a).dtype, md.array(a).sum() (<class 'numpy.float32'>, [10505000.] <NDArray 1 @cpu(0)>) >>> np.array(a, dtype=np.float32).sum() 10505000.0 >>> md.array(a, dtype=np.float64).sum() [10504999.5] <NDArray 1 @cpu(0)> ```
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