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expose itemsize and nbytes as for numpy arrays (#284)

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see:
  * https://numpy.org/doc/stable/reference/generated/numpy.ndarray.nbytes.html
  * https://numpy.org/doc/stable/reference/generated/numpy.ndarray.itemsize.html

relates to https://github.com/ml-explore/mlx-examples/pull/174
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Daniel Strobusch 2023-12-25 19:34:28 +01:00 committed by GitHub
parent a123c3c7d2
commit d58ac083f3
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2 changed files with 10 additions and 0 deletions
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8
python/src/array.cpp
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@ -510,6 +510,14 @@ void init_array(py::module_& m) {
"size", &array::size, R"pbdoc(Number of elments in the array.)pbdoc")
.def_property_readonly(
"ndim", &array::ndim, R"pbdoc(The array's dimension.)pbdoc")
.def_property_readonly(
"itemsize",
&array::itemsize,
R"pbdoc(The size of the array's datatype in bytes.)pbdoc")
.def_property_readonly(
"nbytes",
&array::nbytes,
R"pbdoc(The number of bytes in the array.)pbdoc")
// TODO, this makes a deep copy of the shape
// implement alternatives to use reference
// https://pybind11.readthedocs.io/en/stable/advanced/cast/stl.html

2
python/tests/test_array.py
View File

@ -84,6 +84,8 @@ class TestArray(mlx_tests.MLXTestCase):
x = mx.array(1)
self.assertEqual(x.size, 1)
self.assertEqual(x.ndim, 0)
self.assertEqual(x.itemsize, 4)
self.assertEqual(x.nbytes, 4)
self.assertEqual(x.shape, [])
self.assertEqual(x.dtype, mx.int32)
self.assertEqual(x.item(), 1)