sxjscience commented on issue #18672:
URL:
https://github.com/apache/incubator-mxnet/issues/18672#issuecomment-655658852
I can reproduce this failure message:
```python
import mxnet as mx
import numpy as np
mx.npx.set_np()
a = np.ndarray(shape=(128,)) # similar to one feature of one sequence
b = np.ndarray(shape=(19,))
l1 = [a,b] # similar to one feature of all sequences
l2 = [a,b]
c = [l1, l2] # similar to a training instance that will be sampled against
ds = mx.gluon.data.ArrayDataset(*c)
dt = mx.gluon.data.DataLoader(dataset=ds, batch_size=1, num_workers=1,
try_nopython=True)
print('ok') # error out before prints
```
Error message:
```python
~/miniconda3/lib/python3.7/site-packages/mxnet/gluon/data/dataset.py in
__mx_handle__(self)
383 datasets.append(data.__mx_handle__())
384 else:
--> 385
datasets.append(NDArrayDataset(arr=default_array(data)))
386 self.handle = GroupDataset(datasets=datasets)
387 return self.handle
~/miniconda3/lib/python3.7/site-packages/mxnet/util.py in
default_array(source_array, ctx, dtype)
936 from . import np as _mx_np
937 if is_np_array():
--> 938 return _mx_np.array(source_array, ctx=ctx, dtype=dtype)
939 else:
940 return _mx_nd.array(source_array, ctx=ctx, dtype=dtype)
~/miniconda3/lib/python3.7/site-packages/mxnet/numpy/multiarray.py in
array(object, dtype, ctx)
2407 # printing out the error raised by official NumPy's
array function
2408 # for transparency on users' side
-> 2409 raise TypeError('{}'.format(str(e)))
2410 ret = empty(object.shape, dtype=dtype, ctx=ctx)
2411 if len(object.shape) == 0:
TypeError: setting an array element with a sequence.
```
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