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hub / github.com/ml-explore/mlx / init_ops

Function init_ops

python/src/ops.cpp:48–5655  ·  view source on GitHub ↗

Source from the content-addressed store, hash-verified

46}
47
48void init_ops(nb::module_& m) {
49 m.def(
50 "reshape",
51 &mx::reshape,
52 nb::arg(),
53 "shape"_a,
54 nb::kw_only(),
55 "stream"_a = nb::none(),
56 nb::sig(
57 "def reshape(a: array, /, shape: Sequence[int], *, stream: "
58 "Union[None, Stream, Device] = None) -> array"),
59 R"pbdoc(
60 Reshape an array while preserving the size.
61
62 Args:
63 a (array): Input array.
64 shape (tuple(int)): New shape.
65 stream (Stream, optional): Stream or device. Defaults to ``None``
66 in which case the default stream of the default device is used.
67
68 Returns:
69 array: The reshaped array.
70 )pbdoc");
71 m.def(
72 "flatten",
73 [](const mx::array& a,
74 int start_axis,
75 int end_axis,
76 const mx::StreamOrDevice& s) {
77 return mx::flatten(a, start_axis, end_axis);
78 },
79 nb::arg(),
80 "start_axis"_a = 0,
81 "end_axis"_a = -1,
82 nb::kw_only(),
83 "stream"_a = nb::none(),
84 nb::sig(
85 "def flatten(a: array, /, start_axis: int = 0, end_axis: int = "
86 "-1, *, stream: Union[None, Stream, Device] = None) -> array"),
87 R"pbdoc(
88 Flatten an array.
89
90 The axes flattened will be between ``start_axis`` and ``end_axis``,
91 inclusive. Negative axes are supported. After converting negative axis to
92 positive, axes outside the valid range will be clamped to a valid value,
93 ``start_axis`` to ``0`` and ``end_axis`` to ``ndim - 1``.
94
95 Args:
96 a (array): Input array.
97 start_axis (int, optional): The first dimension to flatten. Defaults to ``0``.
98 end_axis (int, optional): The last dimension to flatten. Defaults to ``-1``.
99 stream (Stream, optional): Stream or device. Defaults to ``None``
100 in which case the default stream of the default device is used.
101
102 Returns:
103 array: The flattened array.
104
105 Example:

Callers 1

NB_MODULEFunction · 0.85

Calls 15

flattenFunction · 0.85
squeezeFunction · 0.85
expand_dimsFunction · 0.85
absFunction · 0.85
to_arrayFunction · 0.85
signFunction · 0.85
to_arraysFunction · 0.85
addFunction · 0.85
subtractFunction · 0.85
multiplyFunction · 0.85
divideFunction · 0.85
divmodFunction · 0.85

Tested by

no test coverage detected