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Fixed type inferencing for nest sequences with no elements #697

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Merged
merged 1 commit into from
Dec 1, 2021
Merged

Fixed type inferencing for nest sequences with no elements #697

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1 change: 1 addition & 0 deletions dpctl/tensor/_ctors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,6 +67,7 @@ def _array_info_sequence(li):
)
if dim is None:
dim = tuple()
dt = float
device = _host_set
return (n,) + dim, dt, device

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5 changes: 5 additions & 0 deletions dpctl/tests/test_tensor_asarray.py
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Expand Up @@ -87,6 +87,11 @@ def test_asarray_from_sequence():
assert type(Y) is dpt.usm_ndarray
assert Y.shape == (0,)

X = [[], []]
Y = dpt.asarray(X, usm_type="device")
assert type(Y) is dpt.usm_ndarray
assert Y.shape == (2, 0)

X = [True, False]
Y = dpt.asarray(X, usm_type="device")
assert type(Y) is dpt.usm_ndarray
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