Traceback (most recent call last):


 "/home/prastogi/conda/lib/python3.7/site-packages/autogluon/utils/tabular/features/utils.py", line 16, in get_type_family

elif np.issubdtype(dtype, np.integer):


 "/home/prastogi/conda/lib/python3.7/site-packages/numpy/core/numerictypes.py", line 393, in issubdtype

arg1 = dtype(arg1).type
TypeError: data type not understood

Traceback (most recent call last):


 "/home/danieltudosiu/projects/nmpevqvae/code_fine_tuning/experiment.py", line 123, in <module>

conditional_in_channels = iter(data_loader).__next__()[


 "/home/danieltudosiu/projects/nmpevqvae/evenv/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 363, in __next__

data = self._next_data()


 "/home/danieltudosiu/projects/nmpevqvae/evenv/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 403, in _next_data

data = self._dataset_fetcher.fetch(index)
# may raise StopIteration


 "/home/danieltudosiu/projects/nmpevqvae/evenv/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch

data = [self.dataset[idx] for idx in possibly_batched_index]


 "/home/danieltudosiu/projects/nmpevqvae/evenv/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>

data = [self.dataset[idx] for idx in possibly_batched_index]


 "/home/danieltudosiu/projects/nmpevqvae/evenv/lib/python3.6/site-packages/monai/data/dataset.py", line 197, in __getitem__

pre_random_item = self._pre_first_random_cachecheck(self.data[index])


 "/home/danieltudosiu/projects/nmpevqvae/evenv/lib/python3.6/site-packages/monai/data/dataset.py", line 176, in _pre_first_random_cachecheck

json.dumps(item_transformed, sort_keys=True).encode("utf-8")


 "/usr/lib/python3.6/json/__init__.py", line 238, in dumps

**kw).encode(obj)


 "/usr/lib/python3.6/json/encoder.py", line 199, in encode

chunks = self.iterencode(o, _one_shot=True)


 "/usr/lib/python3.6/json/encoder.py", line 257, in iterencode

return _iterencode(o, 0)


 "/usr/lib/python3.6/json/encoder.py", line 180, in default

o.__class__.__name__)
TypeError: Object of type 'ndarray' is not JSON serializable
