cutcutcodec.core.compilation.sympy_to_torch.memory_check.overlap

cutcutcodec.core.compilation.sympy_to_torch.memory_check.overlap(strides: tuple[int], shapes: tuple[int]) → bool[source]

Return True if all items are not memory independant.

Parameters

stridestuple[int]: The step on each dimension.
shapestuple[int]: Each dimension lenght.

Returns

overlapbool: True if some data are overlapping, it may return True in some situation of non overlaping. When False, it is 100% shure it is memory safe!

Examples

>>> from cutcutcodec.core.compilation.sympy_to_torch.memory_check import overlap
>>> overlap((0,), (10,))
True
>>> overlap((1,), (10,))  # c contiguous
False
>>> overlap((2,), (10,))
False
>>> overlap((10, 0), (100, 10))
True
>>> overlap((9, 1), (100, 10))
True
>>> overlap((10, 1), (100, 10))  # c contiguous
False
>>> overlap((10, 2), (100, 10))
True
>>> overlap((20, 2), (100, 10))
False
>>>