mxnet ValueError: Input contains NaN, infinity or a value too large for dtype(‘float64‘).

Traceback (most recent call last):
  File "train_0723.py", line 455, in <module>
    main()
  File "train_0723.py", line 451, in main
    train_net(args)
  File "train_0723.py", line 445, in train_net
    epoch_end_callback=epoch_cb)
  File "/home/user1/recognition/parall_module_local_v1_gluon_group.py", line 612, in fit
    batch_end_callback(batch_end_params)
  File "train_0723.py", line 335, in _batch_callback
    acc_list = ver_test(mbatch)
  File "train_0723.py", line 292, in ver_test
    None, None)
  File "eval/verification.py", line 273, in test
    embeddings = sklearn.preprocessing.normalize(embeddings)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 73, in inner_f
    return f(**kwargs)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/sklearn/preprocessing/_data.py", line 1711, in normalize
    estimator='the normalize function', dtype=FLOAT_DTYPES)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 73, in inner_f
    return f(**kwargs)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 646, in check_array
    allow_nan=force_all_finite == 'allow-nan')
  File "/home/user1/miniconda3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 100, in _assert_all_finite
    msg_dtype if msg_dtype is not None else X.dtype)
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').