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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/55799 I'm going to change the implementation of cdata soon so I need to abstract over cdata access with a function. Additionally, many users are casting manually casting to THPVariable to access the member so I can remove these unsafe casts in the client code (the implementation, of course, is still doing an unsafe cast.) Signed-off-by: Edward Z. Yang <ezyang@fb.com> Test Plan: Imported from OSS Reviewed By: albanD Differential Revision: D27712130 Pulled By: ezyang fbshipit-source-id: 95fcc013bf3913d67f2c634068eb5b3aab144cb3
110 lines
3.3 KiB
C++
110 lines
3.3 KiB
C++
#pragma once
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#include <torch/csrc/python_headers.h>
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#include <ATen/ATen.h>
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include <torch/csrc/DynamicTypes.h>
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#include <torch/csrc/autograd/python_variable.h>
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#include <torch/csrc/utils/python_tuples.h>
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#include <torch/csrc/utils/python_numbers.h>
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#include <torch/csrc/Generator.h>
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#include <stdexcept>
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#include <utility>
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namespace py = pybind11;
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// This makes intrusive_ptr to be available as a custom pybind11 holder type,
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// see
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// https://pybind11.readthedocs.io/en/stable/advanced/smart_ptrs.html#custom-smart-pointers
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PYBIND11_DECLARE_HOLDER_TYPE(T, c10::intrusive_ptr<T>, true);
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namespace pybind11 { namespace detail {
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// torch.Tensor <-> at::Tensor conversions (without unwrapping)
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template <>
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struct type_caster<at::Tensor> {
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public:
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// NOLINTNEXTLINE(cppcoreguidelines-non-private-member-variables-in-classes)
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PYBIND11_TYPE_CASTER(at::Tensor, _("at::Tensor"));
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bool load(handle src, bool) {
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PyObject* obj = src.ptr();
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if (THPVariable_Check(obj)) {
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value = THPVariable_Unpack(obj);
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return true;
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}
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return false;
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}
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static handle
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cast(const at::Tensor& src, return_value_policy /* policy */, handle /* parent */) {
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return handle(THPVariable_Wrap(src));
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}
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};
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template <>
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struct type_caster<at::Generator> {
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public:
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// NOLINTNEXTLINE(cppcoreguidelines-non-private-member-variables-in-classes)
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PYBIND11_TYPE_CASTER(at::Generator, _("at::Generator"));
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bool load(handle src, bool) {
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PyObject* obj = src.ptr();
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if (THPGenerator_Check(obj)) {
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value = reinterpret_cast<THPGenerator*>(obj)->cdata;
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return true;
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}
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return false;
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}
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static handle
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cast(const at::Generator& src, return_value_policy /* policy */, handle /* parent */) {
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return handle(THPGenerator_Wrap(src));
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}
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};
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template<> struct type_caster<at::IntArrayRef> {
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public:
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// NOLINTNEXTLINE(cppcoreguidelines-non-private-member-variables-in-classes)
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PYBIND11_TYPE_CASTER(at::IntArrayRef, _("at::IntArrayRef"));
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bool load(handle src, bool) {
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PyObject *source = src.ptr();
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auto tuple = PyTuple_Check(source);
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if (tuple || PyList_Check(source)) {
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// NOLINTNEXTLINE(bugprone-branch-clone)
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auto size = tuple ? PyTuple_GET_SIZE(source) : PyList_GET_SIZE(source);
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v_value.resize(size);
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for (int idx = 0; idx < size; idx++) {
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PyObject* obj = tuple ? PyTuple_GET_ITEM(source, idx) : PyList_GET_ITEM(source, idx);
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if (THPVariable_Check(obj)) {
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v_value[idx] = THPVariable_Unpack(obj).item<int64_t>();
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} else if (PyLong_Check(obj)) {
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// use THPUtils_unpackLong after it is safe to include python_numbers.h
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v_value[idx] = THPUtils_unpackLong(obj);
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} else {
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return false;
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}
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}
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value = v_value;
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return true;
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}
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return false;
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}
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static handle cast(at::IntArrayRef src, return_value_policy /* policy */, handle /* parent */) {
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return handle(THPUtils_packInt64Array(src.size(), src.data()));
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}
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private:
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std::vector<int64_t> v_value;
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};
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// Pybind11 bindings for our optional type.
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// http://pybind11.readthedocs.io/en/stable/advanced/cast/stl.html#c-17-library-containers
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template <typename T>
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struct type_caster<c10::optional<T>> : optional_caster<c10::optional<T>> {};
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}} // namespace pybind11::detail
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