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https://github.com/ml-explore/mlx.git
synced 2025-09-01 21:04:41 +08:00
Convert SmallVector to tuple
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@@ -304,7 +304,7 @@ void init_array(nb::module_& m) {
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R"pbdoc(The number of bytes in the array.)pbdoc")
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.def_prop_ro(
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"shape",
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[](const mx::array& a) { return nb::tuple(nb::cast(a.shape())); },
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[](const mx::array& a) { return nb::cast(a.shape()); },
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R"pbdoc(
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The shape of the array as a Python tuple.
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@@ -10,8 +10,68 @@ NAMESPACE_BEGIN(NB_NAMESPACE)
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NAMESPACE_BEGIN(detail)
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template <typename Type, size_t Size, typename Alloc>
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struct type_caster<mlx::core::SmallVector<Type, Size, Alloc>>
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: list_caster<mlx::core::SmallVector<Type, Size, Alloc>, Type> {};
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struct type_caster<mlx::core::SmallVector<Type, Size, Alloc>> {
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using List = mlx::core::SmallVector<Type, Size, Alloc>;
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using Caster = make_caster<Type>;
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NB_TYPE_CASTER(
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List,
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const_name(NB_TYPING_TUPLE "[") + make_caster<Type>::Name +
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const_name(", ...]"))
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bool from_python(handle src, uint8_t flags, cleanup_list* cleanup) noexcept {
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size_t size;
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PyObject* temp;
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// Will initialize 'size' and 'temp'. All return values and
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// return parameters are zero/NULL in the case of a failure.
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PyObject** o = seq_get(src.ptr(), &size, &temp);
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value.clear();
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value.reserve(size);
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Caster caster;
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bool success = o != nullptr;
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flags = flags_for_local_caster<Type>(flags);
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for (size_t i = 0; i < size; ++i) {
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if (!caster.from_python(o[i], flags, cleanup) ||
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!caster.template can_cast<Type>()) {
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success = false;
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break;
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}
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value.push_back(caster.operator cast_t<Type>());
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}
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Py_XDECREF(temp);
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return success;
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}
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template <typename T>
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static handle from_cpp(T&& src, rv_policy policy, cleanup_list* cleanup) {
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object ret = steal(PyTuple_New(src.size()));
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if (ret.is_valid()) {
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Py_ssize_t index = 0;
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for (auto&& value : src) {
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handle h = Caster::from_cpp(forward_like_<T>(value), policy, cleanup);
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if (!h.is_valid()) {
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ret.reset();
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break;
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}
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NB_TUPLE_SET_ITEM(ret.ptr(), index++, h.ptr());
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}
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}
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return ret.release();
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}
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};
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NAMESPACE_END(detail)
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NAMESPACE_END(NB_NAMESPACE)
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