| #pragma once |
| |
| #include <torch/csrc/python_headers.h> |
| |
| #include <ATen/core/ivalue.h> |
| #include <ATen/core/symbol.h> |
| #include <c10/util/irange.h> |
| #include <torch/csrc/DynamicTypes.h> |
| #include <torch/csrc/THP.h> |
| #include <torch/csrc/autograd/variable.h> |
| #include <torch/csrc/jit/frontend/tracer.h> |
| #include <torch/csrc/jit/python/pybind_utils.h> |
| #include <torch/csrc/utils/pybind.h> |
| |
| #include <pybind11/functional.h> |
| #include <pybind11/pybind11.h> |
| #include <pybind11/stl.h> |
| |
| namespace py = pybind11; |
| |
| namespace torch { |
| namespace jit { |
| |
| // This is a variant of shared_ptr that "sees through" a wrapper. |
| // We use it to convert Value, Node, Block and node to "wrapped" Python |
| // values. When we destruct the C++ object, the wrapper's pointer will |
| // be set to 0 and any future dereferencing will throw. We need this |
| // because the Python objects may hang around after the C++ object |
| // has already been destroyed. |
| // This also needs the magic type_caster below, which is from the |
| // workaround offered in https://github.com/pybind/pybind11/issues/2751 |
| template <typename T> |
| class unwrapping_shared_ptr { |
| static_assert( |
| std::is_same<T, torch::jit::Value>::value || |
| std::is_same<T, torch::jit::Node>::value || |
| std::is_same<T, torch::jit::Block>::value, |
| "unwrapping type only defined for Graph object types"); |
| |
| private: |
| std::shared_ptr<torch::jit::Wrap<T>> impl; |
| |
| public: |
| unwrapping_shared_ptr() : impl({}) {} |
| explicit unwrapping_shared_ptr(T* p) : impl(p->wrap()) { |
| impl->clear_cb = &clear_registered_instances; |
| } |
| T* get() const { |
| if (!impl->elem) { |
| throw std::logic_error("has been invalidated"); |
| } |
| return impl->elem; |
| } |
| // we need to disable the overloaded & for PyBind11 < 2.3 due. |
| // see https://github.com/pybind/pybind11/pull/1435 |
| #if (PYBIND11_VERSION_MAJOR > 2) || \ |
| ((PYBIND11_VERSION_MAJOR == 2) && (PYBIND11_VERSION_MINOR >= 3)) |
| T** operator&() { |
| if (!impl->elem) { |
| throw std::logic_error("has been invalidated"); |
| } |
| return &(impl->elem); |
| } |
| #endif |
| }; |
| |
| } // namespace jit |
| } // namespace torch |
| |
| PYBIND11_DECLARE_HOLDER_TYPE(T, torch::jit::unwrapping_shared_ptr<T>, true); |
| |
| namespace pybind11 { |
| namespace detail { |
| |
| #define CREATE_UNWRAPPING_CASTER(Class) \ |
| template <> \ |
| struct type_caster<Class> : public type_caster_base<Class> { \ |
| public: \ |
| using type = Class; \ |
| using holder_type = torch::jit::unwrapping_shared_ptr<Class>; \ |
| \ |
| bool load(handle src, bool convert) { \ |
| return load_impl<type_caster<Class>>(src, convert); \ |
| } \ |
| \ |
| explicit operator type*() { \ |
| return static_cast<type*>(value); \ |
| } \ |
| explicit operator type&() { \ |
| return *static_cast<type*>(value); \ |
| } \ |
| \ |
| protected: \ |
| friend class type_caster_generic; \ |
| \ |
| bool load_value(value_and_holder&& v_h) { \ |
| if (v_h.holder_constructed()) { \ |
| value = v_h.template holder<holder_type>().get(); \ |
| return true; \ |
| } else { \ |
| throw cast_error( \ |
| "Unable to cast from non-held to held instance (#Class& to Holder<#Class>)"); \ |
| } \ |
| } \ |
| } |
| |
| CREATE_UNWRAPPING_CASTER(torch::jit::Node); |
| CREATE_UNWRAPPING_CASTER(torch::jit::Value); |
| CREATE_UNWRAPPING_CASTER(torch::jit::Block); |
| |
| #undef CREATE_UNWRAPPING_CASTER |
| |
| } // namespace detail |
| } // namespace pybind11 |
| |
| namespace pybind11 { |
| namespace detail { |
| |
| template <> |
| struct type_caster<torch::jit::IValue> { |
| public: |
| // NOLINTNEXTLINE(cppcoreguidelines-non-private-member-variables-in-classes) |
| PYBIND11_TYPE_CASTER(torch::jit::IValue, _("IValue")); |
| |
| bool load(handle src, bool) { |
| try { |
| value = torch::jit::toTypeInferredIValue(src); |
| return true; |
| } catch (std::exception& e) { |
| return false; |
| } |
| } |
| |
| static handle cast( |
| torch::jit::IValue src, |
| return_value_policy /* policy */, |
| handle /* parent */) { |
| return torch::jit::toPyObject(std::move(src)).release(); |
| } |
| }; |
| |
| template <> |
| struct type_caster<torch::jit::Symbol> { |
| public: |
| // NOLINTNEXTLINE(cppcoreguidelines-non-private-member-variables-in-classes) |
| PYBIND11_TYPE_CASTER(torch::jit::Symbol, _("Symbol")); |
| |
| bool load(handle src, bool) { |
| // TODO: Is there a way to py::cast that doesn't raise an exception on |
| // failure? Can we catch pybind11::cast_error here instead? |
| std::string src_str; |
| try { |
| src_str = py::cast<std::string>(src); |
| } catch (std::exception& e) { |
| return false; |
| } |
| value = torch::jit::Symbol::fromQualString(src_str); |
| return true; |
| } |
| |
| static handle cast( |
| torch::jit::Symbol src, |
| return_value_policy /* policy */, |
| handle /* parent */) { |
| return py::cast(std::string(src.toQualString()), return_value_policy::copy) |
| .release(); |
| } |
| }; |
| |
| template <> |
| struct type_caster<torch::jit::AttributeKind> { |
| public: |
| // NOLINTNEXTLINE(cppcoreguidelines-non-private-member-variables-in-classes) |
| PYBIND11_TYPE_CASTER(torch::jit::AttributeKind, _("AttributeKind")); |
| |
| bool load(handle src, bool) { |
| return false; |
| } |
| |
| static handle cast( |
| torch::jit::AttributeKind src, |
| return_value_policy /* policy */, |
| handle /* parent */) { |
| return py::cast( |
| std::string(torch::jit::toString(src)), |
| return_value_policy::copy) |
| .release(); |
| } |
| }; |
| |
| // See https://github.com/pybind/pybind11/issues/637 |
| using ListCasterBase = pybind11::detail:: |
| list_caster<std::vector<torch::jit::Node*>, torch::jit::Node*>; |
| template <> |
| struct type_caster<std::vector<torch::jit::Node*>> : ListCasterBase { |
| static handle cast( |
| const std::vector<torch::jit::Node*>& src, |
| return_value_policy, |
| handle parent) { |
| return ListCasterBase::cast(src, return_value_policy::reference, parent); |
| } |
| static handle cast( |
| const std::vector<torch::jit::Node*>* src, |
| return_value_policy pol, |
| handle parent) { |
| return cast(*src, pol, parent); |
| } |
| }; |
| |
| } // namespace detail |
| } // namespace pybind11 |
| |
| namespace torch { |
| namespace jit { |
| |
| static inline py::tuple tuple_tail(const py::tuple& tup) { |
| py::tuple r(tup.size() - 1); |
| for (const auto i : c10::irange(1, tup.size())) { |
| r[i - 1] = tup[i]; |
| } |
| return r; |
| } |
| |
| } // namespace jit |
| } // namespace torch |