blob: e1b7c3b540bc2ad58364d4e2954e587472e3250b [file] [log] [blame]
#pragma once
#include <torch/csrc/python_headers.h>
#include <torch/csrc/DynamicTypes.h>
#include <torch/csrc/THP.h>
#include <torch/csrc/autograd/variable.h>
#include <ATen/core/interned_strings.h>
#include <ATen/core/ivalue.h>
#include <torch/csrc/jit/pybind_utils.h>
#include <torch/csrc/jit/tracer.h>
#include <torch/csrc/utils/pybind.h>
#include <pybind11/functional.h>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
namespace py = pybind11;
namespace pybind11 {
namespace detail {
template <>
struct type_caster<torch::jit::IValue> {
public:
PYBIND11_TYPE_CASTER(torch::jit::IValue, _("IValue"));
bool load(handle src, bool) {
try {
value = torch::jit::toIValue(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:
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:
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 (size_t i = 1; i < tup.size(); i++) {
r[i - 1] = tup[i];
}
return r;
}
} // namespace jit
} // namespace torch