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#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
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