TccccD edited a comment on issue #12287: Add stable nrm2 for L2_normalization URL: https://github.com/apache/incubator-mxnet/pull/12287#issuecomment-416850121 I traversed all the use cases in the test, but none of them gave an error. ``` @with_seed() def test_l2_normalization(): for dtype in ['float16', 'float32', 'float64']: for mode in ['channel', 'spatial', 'instance']: nbatch = random.randint(1, 4) nchannel = random.randint(3, 5) height = random.randint(4, 6) check_l2_normalization((nbatch, nchannel, height), mode, dtype) width = random.randint(5, 7) check_l2_normalization((nbatch, nchannel, height, width), mode, dtype) #test_l2_normalization() #@with_seed() def test_l2_normalization2(): for dtype in ['float16', 'float32', 'float64']: for mode in ['channel', 'spatial', 'instance']: for nbatch in range(1,5): for nchannel in range(3,6): for height in range(4,7): check_l2_normalization((nbatch, nchannel, height), mode, dtype) print((nbatch, nchannel, height), '...ok') for width in range(5,8): check_l2_normalization((nbatch, nchannel, height, width), mode, dtype) test_l2_normalization() ``` I found this error every time in asnumpy. This may be a running environment issue? What environment should I use to look for this bug? @haojin2 @piiswrong @leezu @anirudh2290 @szha
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