Torch linalg

array_api_compat/cupy/__init__.py

@@ -6,13 +6,7 @@
 # These imports may overwrite names from the import * above.
 from ._aliases import *
 
-# Don't know why, but we have to do an absolute import to import linalg. If we
-# instead do
-#
-# from . import linalg
-#
-# It doesn't overwrite cupy.linalg from above. The import is generated
-# dynamically so that the library can be vendored.
+# See the comment in the numpy __init__.py
 __import__(__package__ + '.linalg')
 
 from .linalg import matrix_transpose, vecdot

array_api_compat/torch/__init__.py

@@ -14,6 +14,9 @@
 # These imports may overwrite names from the import * above.
 from ._aliases import *
 
+# See the comment in the numpy __init__.py
+__import__(__package__ + '.linalg')
+
 from ..common._helpers import *
 
 __array_api_version__ = '2021.12'

array_api_compat/torch/_aliases.py

@@ -9,14 +9,15 @@
                                vecdot as _aliases_vecdot)
 from .._internal import get_xp
 
+import torch
+
 from typing import TYPE_CHECKING
 if TYPE_CHECKING:
     from typing import List, Optional, Sequence, Tuple, Union
     from ..common._typing import Device
     from torch import dtype as Dtype
 
-import torch
-array = torch.Tensor
+    array = torch.Tensor
 
 _int_dtypes = {
     torch.uint8,
@@ -547,6 +548,14 @@ def empty(shape: Union[int, Tuple[int, ...]],
          **kwargs) -> array:
     return torch.empty(shape, dtype=dtype, device=device, **kwargs)
 
+# tril and triu do not call the keyword argument k
+
+def tril(x: array, /, *, k: int = 0) -> array:
+    return torch.tril(x, k)
+
+def triu(x: array, /, *, k: int = 0) -> array:
+    return torch.triu(x, k)
+
 # Functions that aren't in torch https://github.com/pytorch/pytorch/issues/58742
 def expand_dims(x: array, /, *, axis: int = 0) -> array:
     return torch.unsqueeze(x, axis)
@@ -651,6 +660,7 @@ def isdtype(
            'subtract', 'max', 'min', 'sort', 'prod', 'sum', 'any', 'all',
            'mean', 'std', 'var', 'concat', 'squeeze', 'flip', 'roll',
            'nonzero', 'where', 'arange', 'eye', 'linspace', 'full', 'ones',
-           'zeros', 'empty', 'expand_dims', 'astype', 'broadcast_arrays',
-           'unique_all', 'unique_counts', 'unique_inverse', 'unique_values',
-           'matmul', 'matrix_transpose', 'vecdot', 'tensordot', 'isdtype']
+           'zeros', 'empty', 'tril', 'triu', 'expand_dims', 'astype',
+           'broadcast_arrays', 'unique_all', 'unique_counts',
+           'unique_inverse', 'unique_values', 'matmul', 'matrix_transpose',
+           'vecdot', 'tensordot', 'isdtype']

array_api_compat/torch/linalg.py

@@ -1 +1,27 @@
-raise ImportError("The array api compat torch.linalg module extension is not yet implemented")
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+if TYPE_CHECKING:
+    import torch
+    array = torch.Tensor
+
+from torch.linalg import *
+
+# torch.linalg doesn't define __all__
+# from torch.linalg import __all__ as linalg_all
+from torch import linalg as torch_linalg
+linalg_all = [i for i in dir(torch_linalg) if not i.startswith('_')]
+
+# These are implemented in torch but aren't in the linalg namespace
+from torch import outer, trace
+from ._aliases import _fix_promotion, matrix_transpose, tensordot
+
+# Note: torch.linalg.cross does not default to axis=-1 (it defaults to the
+# first axis with size 3), see https://github.com/pytorch/pytorch/issues/58743
+def cross(x1: array, x2: array, /, *, axis: int = -1) -> array:
+    x1, x2 = _fix_promotion(x1, x2, only_scalar=False)
+    return torch_linalg.cross(x1, x2, dim=axis)
+
+__all__ = linalg_all + ['outer', 'trace', 'matrix_transpose', 'tensordot']
+
+del linalg_all

torch-xfails.txt

@@ -26,24 +26,13 @@ array_api_tests/test_data_type_functions.py::test_iinfo[uint16]
 array_api_tests/test_data_type_functions.py::test_iinfo[uint32]
 array_api_tests/test_data_type_functions.py::test_iinfo[uint64]
 
-# --disable-extension broken with test_has_names.py
-# https://github.com/data-apis/array-api-tests/issues/169
-array_api_tests/test_has_names.py::test_has_names[linalg-matrix_transpose]
-array_api_tests/test_has_names.py::test_has_names[linalg-outer]
-array_api_tests/test_has_names.py::test_has_names[linalg-tensordot]
-array_api_tests/test_has_names.py::test_has_names[linalg-trace]
-
 # We cannot wrap the tensor object
 array_api_tests/test_has_names.py::test_has_names[array_method-__array_namespace__]
 array_api_tests/test_has_names.py::test_has_names[array_method-to_device]
 
-
 # tensordot doesn't allow integer dtypes in some corner cases
 array_api_tests/test_linalg.py::test_tensordot
 
-# A numerical difference in stacking (will be fixed by
-# https://github.com/data-apis/array-api-tests/pull/101)
-array_api_tests/test_linalg.py::test_matmul
 # We cannot wrap the tensor object
 array_api_tests/test_operators_and_elementwise_functions.py::test_add[__add__(x1, x2)]
 array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__and__(x1, x2)]