PyTorch and Python Data API comparison

	B	C	D	E	F	G	H	I	L	M
1
2	Python Data API Specification (commit: 942c9538b0dba04fcc8ad4f8a53107de1416cc9a)				PyTorch v1.10 Implementation	Changes Needed		Related Discussion	Legend
3	API Specification								No	No changes needed.
4		Array Object							New API	Need to add a new function or constant.
5			Operators						Enhancement	Need enhancement to the existing function (add new argument, etc.).
6				__lt__(x1, x2)	torch.Tensor.__lt__	No			Enhancement with BC	Need to change signature of the existing function. (breaking change)
7				__le__(x1, x2)	torch.Tensor.__le__	No			Behavior	Need to change behavior of the existing function. (breaking change)
8				__gt__(x1, x2)	torch.Tensor.__gt__	No			N/A	The detailed specification is not determined yet in the Data API.
9				__ge__(x1, x2)	torch.Tensor.__ge__	No
10				__eq__(x1, x2)	torch.Tensor.__eq__	No
11				__ne__(x1, x2)	torch.Tensor.__ne__	No
12				__pos__(x)	torch.Tensor.__pos__	No
13				__neg__(x)	torch.Tensor.__neg__	No
14				__add__(x1, x2)	torch.Tensor.__add__	No
15				__sub__(x1, x2)	torch.Tensor.__sub__	No
16				__mul__(x1, x2)	torch.Tensor.__mul__	No
17				__truediv__(x1, x2)	torch.Tensor.__truediv__	No
18				__floordiv__(x1, x2)	torch.Tensor.__floordiv__	Behavior	Must be changed to take floor	https://github.com/pytorch/pytorch/issues/43874
19				__mod__(x1, x2)	torch.Tensor.__mod__	No
20				__pow__(x1, x2)	torch.Tensor.__pow__	No
21				__matmul__(x1, x2)	torch.Tensor.__matmul__	No
22				__invert__(x)	torch.Tensor.__invert__	No
23				__and__(x1, x2)	torch.Tensor.__and__	No
24				__or__(x1, x2)	torch.Tensor.__or__	No
25				__xor__(x1, x2)	torch.Tensor.__xor__	No
26				__lshift__(x1, x2)	torch.Tensor.__lshift__	No
27				__rshift__(x1, x2)	torch.Tensor.__rshift__	No
28			In-place Operators
29				__iadd__	torch.Tensor.__iadd__	No
30				__isub__	torch.Tensor.__isub__	No
31				__imul__	torch.Tensor.__imul__	No
32				__itruediv__	torch.Tensor.__itruediv__	No
33				__ifloordiv__	torch.Tensor.__ifloordiv__	Behavior	Must be changed to take floor	https://github.com/pytorch/pytorch/issues/43874
34				__ipow__	torch.Tensor.__ipow__	No
35				__imatmul__	(not implemented)	New API
36				__imod__	(not implemented)	New API
37				__iand__	torch.Tensor.__iand__	No
38				__ior__	torch.Tensor.__ior__	No
39				__ixor__	torch.Tensor.__ixor__	No
40				__ilshift__	torch.Tensor.__ilshift__	No
41				__irshift__	torch.Tensor.__irshift__	No
42			Reflected Operators
43				__radd__	torch.Tensor.__radd__	No
44				__rsub__	torch.Tensor.__rsub__	No
45				__rmul__	torch.Tensor.__rmul__	No
46				__rtruediv__	torch.Tensor.__rtruediv__	No
47				__rfloordiv__	torch.Tensor.__rfloordiv__	Behavior	Must be changed to take floor	https://github.com/pytorch/pytorch/issues/43874
48				__rpow__	torch.Tensor.__rpow__	No
49				__rmatmul__
50				__rmod__	torch.Tensor.__rmod__	No
51				__rand__	(not implemented)	New API
52				__ror__	(not implemented)	New API
53				__rxor__	(not implemented)	New API
54				__rlshift__	(not implemented)	New API
55				__rrshift__	(not implemented)	New API
56			Attributes
57				dtype	torch.Tensor.dtype	No
58				device	torch.Tensor.device	No
59				ndim	torch.Tensor.ndim	No
60				shape -> _Tuple[Optional[int], ...]	torch.Tensor.shape	No
61				size -> _Tuple[Optional[int], ...]	torch.Tensor.size	Behavior	- PyTorch returns the shape, but number of elements must be returned. - Currently implemented as method, but must be changed to property method for attribute access	Needs discussion
62				T	torch.Tensor.T	No
63				mT		New API	(..., M, N) -> (..., N, M)
64			Methods
65				__abs__(x, /)	torch.Tensor.__abs__	No
66				__add__(x1, x2, /)	torch.Tensor.__add__	No
67				__and__(x1, x2, /)	torch.Tensor.__and__	No
68				__array_namespace__(self, /, *, api_version=None)	(not implemented)	New API
69				__bool__(x, /)	torch.Tensor.__bool__	No
70				__dlpack__(/, *, stream=None)	torch.utils.dlpack.to_dlpack(tensor) → PyCapsule	New API
71				__dlpack_device__()	(not implemented)	New API
72				__eq__(x1, x2, /)	torch.Tensor.__eq__	No
73				__float__(x, /)	torch.Tensor.__float__	No
74				__floordiv__(x1, x2, /)	torch.Tensor.__floordiv__	Behavior	Must be changed to take floor	https://github.com/pytorch/pytorch/issues/43874
75				__ge__(x1, x2, /)	torch.Tensor.__ge__	No
76				__getitem__(x, key, /)	torch.Tensor.__getitem__	No
77				__gt__(x1, x2, /)	torch.Tensor.__gt__	No
78				__index__(self, /)		New API
79				__int__(x, /)	torch.Tensor.__int__	No
80				__invert__(x, /)	torch.Tensor.__invert__	No
81				__le__(x1, x2, /)	torch.Tensor.__le__	No
82				__len__(x, /)	torch.Tensor.__len__	No
83				__lshift__(x1, x2, /)	torch.Tensor.__lshift__	No
84				__lt__(x1, x2, /)	torch.Tensor.__lt__	No
85				__matmul__(x1, x2, /)	torch.Tensor.__matmul__	No
86				__mod__(x1, x2, /)	torch.Tensor.__mod__	No
87				__mul__(x1, x2, /)	torch.Tensor.__mul__	No
88				__ne__(x1, x2, /)	torch.Tensor.__ne__	No
89				__neg__(x, /)	torch.Tensor.__neg__	No
90				__or__(x1, x2, /)	torch.Tensor.__or__	No
91				__pos__(x, /)	torch.Tensor.__pos__	No
92				__pow__(x1, x2, /)	torch.Tensor.__pow__	No
93				__rshift__(x1, x2, /)	torch.Tensor.__rshift__	No
94				__setitem__(x, key, value, /)	torch.Tensor.__setitem__	No
95				__sub__(x1, x2, /)	torch.Tensor.__sub__	No
96				__truediv__(x1, x2, /)	torch.Tensor.__truediv__	No
97				__xor__(x1, x2, /)	torch.Tensor.__xor__	No
98				to_device(self, device, /, *, stream=None)		New API
99		Data Types
100				bool	torch.bool	No