| /external/pytorch/torch/_numpy/ |
| D | linalg.py | 12 from ._normalizations import ArrayLike, KeepDims, normalizer
51 def matrix_power(a: ArrayLike, n): argument
58 def multi_dot(inputs: Sequence[ArrayLike], *, out=None): argument
67 def solve(a: ArrayLike, b: ArrayLike): argument
74 def lstsq(a: ArrayLike, b: ArrayLike, rcond=None): argument
84 def inv(a: ArrayLike): argument
92 def pinv(a: ArrayLike, rcond=1e-15, hermitian=False): argument
99 def tensorsolve(a: ArrayLike, b: ArrayLike, axes=None): argument
106 def tensorinv(a: ArrayLike, ind=2): argument
116 def det(a: ArrayLike): argument
[all …]
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| D | _funcs_impl.py | 24 ArrayLike,
35 a: ArrayLike, order: NotImplementedType = "K", subok: NotImplementedType = False argument
42 src: ArrayLike, argument
50 def atleast_1d(*arys: ArrayLike): argument
58 def atleast_2d(*arys: ArrayLike): argument
66 def atleast_3d(*arys: ArrayLike): argument
112 ar_tuple: Sequence[ArrayLike], argument
124 tup: Sequence[ArrayLike], argument
138 tup: Sequence[ArrayLike], argument
149 tup: Sequence[ArrayLike], argument
[all …]
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| D | fft.py | 10 from ._normalizations import ArrayLike, normalizer
31 def fft(a: ArrayLike, n=None, axis=-1, norm=None): argument
37 def ifft(a: ArrayLike, n=None, axis=-1, norm=None): argument
43 def rfft(a: ArrayLike, n=None, axis=-1, norm=None): argument
49 def irfft(a: ArrayLike, n=None, axis=-1, norm=None): argument
55 def fftn(a: ArrayLike, s=None, axes=None, norm=None): argument
61 def ifftn(a: ArrayLike, s=None, axes=None, norm=None): argument
67 def rfftn(a: ArrayLike, s=None, axes=None, norm=None): argument
73 def irfftn(a: ArrayLike, s=None, axes=None, norm=None): argument
79 def fft2(a: ArrayLike, s=None, axes=(-2, -1), norm=None): argument
[all …]
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| D | _reductions_impl.py | 20 ArrayLike,
67 def count_nonzero(a: ArrayLike, axis: AxisLike = None, *, keepdims: KeepDims = False): argument
73 a: ArrayLike, argument
93 a: ArrayLike, argument
113 a: ArrayLike, argument
127 a: ArrayLike, argument
141 a: ArrayLike, argument
159 a: ArrayLike, argument
177 a: ArrayLike, argument
187 a: ArrayLike, argument
[all …]
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| D | _ufuncs.py | 11 ArrayLike,
123 x1: ArrayLike, argument
124 x2: ArrayLike, argument
190 x1: ArrayLike, argument
191 x2: ArrayLike, argument
298 x: ArrayLike, argument
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| D | random.py | 19 from ._normalizations import array_or_scalar, ArrayLike, normalizer
157 def choice(a: ArrayLike, size=None, replace=True, p: Optional[ArrayLike] = None): argument
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| D | _normalizations.py | 17 ArrayLike = typing.TypeVar("ArrayLike") variable
19 ArrayLikeOrScalar = typing.Union[ArrayLike, Scalar]
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| D | _ndarray.py | 14 ArrayLike,
313 def copy(self: ArrayLike, order: NotImplementedType = "C"): argument
317 def flatten(self: ArrayLike, order: NotImplementedType = "C"): argument
358 def fill(self, value: ArrayLike): argument
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| /external/perfetto/ui/src/base/ |
| D | binary_search.ts | 19 haystack: ArrayLike<T>,
39 haystack: ArrayLike<T>,
71 haystack: ArrayLike<T>,
80 haystack: ArrayLike<T>,
93 haystack: ArrayLike<T>,
111 haystack: ArrayLike<T>,
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| D | array_utils.ts | 36 export function arrayEquals<T>(a: ArrayLike<T>, b: ArrayLike<T>): boolean {
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| D | resizable_array_buffer.ts | 34 append(data: ArrayLike<number>) {
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| /external/clang/test/SemaCXX/ |
| D | overloaded-operator.cpp | 140 struct ArrayLike { struct
144 void test_arraylike(ArrayLike a) { in test_arraylike()
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| /external/pytorch/test/torch_np/numpy_tests/core/ |
| D | test_scalarmath.py | 641 class ArrayLike: class
649 for arr_like in (ArrayLike(np.ones(3)), memoryview(np.ones(3))):
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| D | test_multiarray.py | 6092 class ArrayLike: class
6095 arr = ArrayLike()
6110 class ArrayLike: class
6116 arr = ArrayLike()
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| /external/pytorch/torch/distributed/ |
| D | device_mesh.py | 58 from numpy.typing import ArrayLike
|