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Fixes #723: slow item assignment from numpy array #724

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Dec 14, 2021
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Fixes #723: slow item assignment from numpy array #724

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4580c71
Fixes #723
oleksandr-pavlyk Dec 13, 2021
cb07c38
Added tests to cover branches in copy from Numpy array to usm array
oleksandr-pavlyk Dec 13, 2021
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6 changes: 6 additions & 0 deletions dpctl/tensor/_copy_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -117,6 +117,12 @@ def _copy_from_numpy_into(dst, np_ary):
if not isinstance(np_ary, np.ndarray):
raise TypeError("Expected numpy.ndarray, got {}".format(type(np_ary)))
src_ary = np.broadcast_to(np.asarray(np_ary, dtype=dst.dtype), dst.shape)
if src_ary.size and (dst.flags & 1) and src_ary.flags["C"]:
dpm.as_usm_memory(dst).copy_from_host(src_ary.reshape((-1,)).view("u1"))
return
if src_ary.size and (dst.flags & 2) and src_ary.flags["F"]:
dpm.as_usm_memory(dst).copy_from_host(src_ary.reshape((-1,)).view("u1"))
return
for i in range(dst.size):
mi = np.unravel_index(i, dst.shape)
host_buf = np.array(src_ary[mi], ndmin=1).view("u1")
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14 changes: 13 additions & 1 deletion dpctl/tests/test_tensor_asarray.py
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Expand Up @@ -67,7 +67,19 @@ def test_asarray_from_numpy():
Xnp = np.arange(10)
Y = dpt.asarray(Xnp, usm_type="device")
assert type(Y) is dpt.usm_ndarray
assert Y.shape == (10,)
assert Y.shape == Xnp.shape
assert Y.dtype == Xnp.dtype
# Fortan contiguous case
Xnp = np.array([[1, 2, 3], [4, 5, 6]], dtype="f4", order="F")
Y = dpt.asarray(Xnp, usm_type="shared")
assert type(Y) is dpt.usm_ndarray
assert Y.shape == Xnp.shape
assert Y.dtype == Xnp.dtype
# general strided case
Xnp = np.array([[1, 2, 3], [4, 5, 6]], dtype="i8")
Y = dpt.asarray(Xnp[::-1, ::-1], usm_type="host")
assert type(Y) is dpt.usm_ndarray
assert Y.shape == Xnp.shape
assert Y.dtype == Xnp.dtype


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