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python bindings

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This commit is contained in:
dc-dc-dc 2024-01-02 13:16:18 -05:00
parent 8ded7c8d37
commit 3fb3385a1a
3 changed files with 40 additions and 0 deletions
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22
python/src/ops.cpp
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@ -3194,4 +3194,26 @@ void init_ops(py::module_& m) {
Returns: Returns:
result (array): The dequantized version of ``w`` result (array): The dequantized version of ``w``
)pbdoc"); )pbdoc");
m.def(
"tensordot",
[](const array& a,
const array& b,
const IntOrIntVec& dims,
StreamOrDevice s) {
if (std::holds_alternative<std::monostate>(dims)) {
return tensordot(a, b, 2, s);
} else if (auto pv = std::get_if<int>(&dims); pv) {
return tensordot(a, b, *pv, s);
} else {
return tensordot(
a, b, std::get<std::vector<std::vector<int>>>(dims), s);
}
},
"a"_a,
"b"_a,
py::pos_only(),
"dims"_a = 2,
py::kw_only(),
"stream"_a = none,
"");
} }

2
python/src/utils.h
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@ -15,6 +15,8 @@ namespace py = pybind11;
using namespace mlx::core; using namespace mlx::core;
using IntOrVec = std::variant<std::monostate, int, std::vector<int>>; using IntOrVec = std::variant<std::monostate, int, std::vector<int>>;
using IntOrIntVec =
std::variant<std::monostate, int, std::vector<std::vector<int>>>;
using ScalarOrArray = std:: using ScalarOrArray = std::
variant<py::bool_, py::int_, py::float_, std::complex<float>, py::object>; variant<py::bool_, py::int_, py::float_, std::complex<float>, py::object>;
static constexpr std::monostate none{}; static constexpr std::monostate none{};

16
python/tests/test_ops.py
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@ -1547,6 +1547,22 @@ class TestOps(mlx_tests.MLXTestCase):
expected_3 = np.repeat(data_3, 2, axis=0) expected_3 = np.repeat(data_3, 2, axis=0)
self.assertEqualArray(repeat_3, mx.array(expected_3)) self.assertEqualArray(repeat_3, mx.array(expected_3))
def test_tensordot(self):
x = mx.arange(60.0).reshape(3, 4, 5)
y = mx.arange(24.0).reshape(4, 3, 2)
z = mx.tensordot(x, y, dims=([1, 0], [0, 1]))
self.assertEqualArray(z, mx.array(np.tensordot(x, y, axes=([1, 0], [0, 1]))))
x = mx.random.normal((3, 4, 5))
y = mx.random.normal((4, 5, 6))
z = mx.tensordot(x, y, dims=2)
self.assertEqualArray(z, mx.array(np.tensordot(x, y, axes=2)))
x = mx.random.normal((3, 5, 4, 6))
y = mx.random.normal((6, 4, 5, 3))
z = mx.tensordot(x, y, dims=([2, 1, 3], [1, 2, 0]))
self.assertEqualArray(
z, mx.array(np.tensordot(x, y, axes=([2, 1, 3], [1, 2, 0])))
)
if __name__ == "__main__": if __name__ == "__main__":
unittest.main() unittest.main()