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4404762d7d
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/16751 This was made more complicated by the fact that ivalue::IntList is a thing. So I had to fix all of the sites where we referring to IValue post facto. The following codemods were run, in this order: ``` codemod -m -d . --extensions cc,cpp,cu,cuh,h,hpp,py,cwrap,yaml,in IntList IntArrayRef codemod -m -d . --extensions cc,cpp,cu,cuh,h,hpp,py,cwrap,yaml,in IntArrayRef::create IntList::create codemod -m -d . --extensions cc,cpp,cu,cuh,h,hpp,py,cwrap,yaml,in ivalue::IntArrayRef ivalue::IntList codemod -m -d . --extensions cc,cpp,cu,cuh,h,hpp,py,cwrap,yaml,in Tag::IntArrayRef Tag::IntList codemod -m -d . --extensions cc,cpp,cu,cuh,h,hpp,py,cwrap,yaml,in isIntArrayRef isIntList codemod -m -d . --extensions cc,cpp,cu,cuh,h,hpp,py,cwrap,yaml,in toIntArrayRef toIntList codemod -m -d . --extensions cc,cpp,cu,cuh,h,hpp,py,cwrap,yaml,in 'Shared<IntArrayRef>' 'Shared<IntList>' codemod -m -d . --extensions cc,cpp,cu,cuh,h,hpp,py,cwrap,yaml,in 'intrusive_ptr<IntArrayRef>' 'intrusive_ptr<IntList>' ``` Some manual fixups were done afterwards; they can be reviewed separately at https://github.com/pytorch/pytorch/pull/16752 Reviewed By: dzhulgakov Differential Revision: D13954363 fbshipit-source-id: b5c40aacba042402155a2f5a229fa6db7992ac64
101 lines
2.9 KiB
C++
101 lines
2.9 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 <stdexcept>
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#include <utility>
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namespace py = pybind11;
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namespace pybind11 { namespace detail {
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// torch.autograd.Variable <-> 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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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 = reinterpret_cast<THPVariable*>(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::Tensor& src, return_value_policy /* policy */, handle /* parent */) {
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if (!src.is_variable()) {
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throw std::runtime_error(
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"Expected tensor's dynamic type to be Variable, not Tensor");
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}
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return handle(THPVariable_Wrap(torch::autograd::Variable(src)));
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}
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};
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template<> struct type_caster<torch::autograd::Variable> {
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public:
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PYBIND11_TYPE_CASTER(torch::autograd::Variable, _("torch::autograd::Variable"));
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bool load(handle src, bool) {
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PyObject *source = src.ptr();
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if (THPVariable_Check(source)) {
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value = ((THPVariable*)source)->cdata;
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return true;
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} else {
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return false;
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}
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}
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static handle cast(torch::autograd::Variable src, return_value_policy /* policy */, handle /* parent */) {
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return handle(THPVariable_Wrap(std::move(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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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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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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