Fix gh-1769 - setting shape by a scalar #1786
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Modify shape.setter to handle integers. ``` In [1]: import dpctl.tensor as dpt In [2]: x = dpt.ones((2, 3)) In [3]: x.shape = 6 In [4]: x Out[4]: usm_ndarray([1., 1., 1., 1., 1., 1.], dtype=float32) In [5]: x = dpt.ones((2, 3)) In [6]: class Six: ...: def __init__(self, dim=1): ...: self.v = (1,) * (dim - 1) + (6,) ...: def __len__(self): ...: return len(self.v) ...: def __iter__(self): ...: return iter(self.v) ...: In [7]: x.shape = Six(3) In [8]: x.shape Out[8]: (1, 1, 6) ```
Replaced uses of np.prod with math.prod.
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Deleted rendered PR docs from intelpython.github.com/dpctl, latest should be updated shortly. 🤞 |
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Array API standard conformance tests for dpctl=0.18.0dev0=py310ha798474_240 ran successfully. |
ndgrigorian
reviewed
Aug 6, 2024
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Does not work for -1, where NumPy does
In [2]: x = dpt.arange(100, dtype="i4")
In [3]: x.shape = -1
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[3], line 1
----> 1 x.shape = -1
File ~/repos/dpctl/dpctl/tensor/_usmarray.pyx:592, in dpctl.tensor._usmarray.usm_ndarray.shape.__set__()
590 size = shape_to_elem_count(self.nd_, self.shape_)
591 if not np.prod(new_shape) == size:
--> 592 raise TypeError(
593 f"Can not reshape array of size {self.size} into {new_shape}"
594 )
TypeError: Can not reshape array of size 100 into (-1,)
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I added a docstring to document limitations of |
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Array API standard conformance tests for dpctl=0.18.0dev0=py310ha798474_252 ran successfully. |
antonwolfy
approved these changes
Aug 6, 2024
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The dpnp scope of tests passed with the change. Thank you @oleksandr-pavlyk
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This PR resolves gh-1769
shape setter now accepts integer values.