error: ‘struct c10::IValue’ has no member named ‘toIntListRef

[vishnuu95]

Hi,

I'm trying to build your code on my system and I am having quite a few errors. Any idea why I could be facing this? Im using libtorch and CUDA 10.2 in my system.

Build message :
Scanning dependencies of target layers
[ 2%] Building CXX object src/monodepth/layers/CMakeFiles/layers.dir/batch_norm.cpp.o
[ 4%] Building CXX object src/monodepth/layers/CMakeFiles/layers.dir/conv2d.cpp.o
In file included from /home/vishnuu/808x/project1/monodepth2.cpp/src/monodepth/layers/conv2d.cpp:1:0:
/home/vishnuu/808x/project1/monodepth2.cpp/src/monodepth/layers/../../../include/monodepth/layers/conv2d.h: In static member function ‘static torch::autograd::variable_list monodepth::layers::_NewEmptyTensorOp::backward(torch::autograd::AutogradContext*, torch::autograd::variable_list)’:
/home/vishnuu/808x/project1/monodepth2.cpp/src/monodepth/layers/../../../include/monodepth/layers/conv2d.h:18:43: error: ‘struct c10::IValue’ has no member named ‘toIntListRef’
auto shape = ctx->saved_data["shape"].toIntListRef();
^
/home/vishnuu/808x/project1/monodepth2.cpp/src/monodepth/layers/../../../include/monodepth/layers/conv2d.h:20:88: error: no matching function for call to ‘std::vectorat::Tensor::vector()’
variable_list{_NewEmptyTensorOp::apply(grad_output, shape.vec()), Variable()};
^
In file included from /usr/include/c++/5/vector:64:0,
from /home/vishnuu/Downloads/libtorch/include/c10/util/StringUtil.h:11,
from /home/vishnuu/Downloads/libtorch/include/c10/util/Exception.h:5,
from /home/vishnuu/Downloads/libtorch/include/c10/core/Device.h:5,
from /home/vishnuu/Downloads/libtorch/include/c10/core/Allocator.h:6,
from /home/vishnuu/Downloads/libtorch/include/ATen/ATen.h:3,
from /home/vishnuu/Downloads/libtorch/include/torch/csrc/api/include/torch/types.h:3,
from /home/vishnuu/Downloads/libtorch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/vishnuu/Downloads/libtorch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/vishnuu/Downloads/libtorch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/vishnuu/Downloads/libtorch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/vishnuu/Downloads/libtorch/include/torch/csrc/api/include/torch/data.h:3,
from /home/vishnuu/Downloads/libtorch/include/torch/csrc/api/include/torch/all.h:4,
from /home/vishnuu/Downloads/libtorch/include/torch/csrc/api/include/torch/torch.h:3,
from /home/vishnuu/808x/project1/monodepth2.cpp/src/monodepth/layers/../../../include/monodepth/layers/conv2d.h:2,
from /home/vishnuu/808x/project1/monodepth2.cpp/src/monodepth/layers/conv2d.cpp:1:
/usr/include/c++/5/bits/stl_vector.h:401:9: note: candidate: template<class _InputIterator, class> std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&)
vector(_InputIterator __first, _InputIterator __last,
^
/usr/include/c++/5/bits/stl_vector.h:401:9: note: template argument deduction/substitution failed:
/usr/include/c++/5/bits/stl_vector.h:373:7: note: candidate: std::vector<_Tp, _Alloc>::vector(std::initializer_list<_Tp>, const allocator_type&) [with _Tp = at::Tensor; _Alloc = std::allocatorat::Tensor; std::vector<_Tp, _Alloc>::allocator_type = std::allocatorat::Tensor]
vector(initializer_list<value_type> __l,
^
/usr/include/c++/5/bits/stl_vector.h:373:7: note: conversion of argument 1 would be ill-formed:
/usr/include/c++/5/bits/stl_vector.h:348:7: note: candidate: std::vector<_Tp, _Alloc>::vector(std::vector<_Tp, _Alloc>&&, const allocator_type&) [with _Tp = at::Tensor; _Alloc = std::allocatorat::Tensor; std::vector<_Tp, _Alloc>::allocator_type = std::allocatorat::Tensor]
vector(vector&& __rv, const allocator_type& __m)
^
/usr/include/c++/5/bits/stl_vector.h:348:7: note: conversion of argument 1 would be ill-formed:
/usr/include/c++/5/bits/stl_vector.h:339:7: note: candidate: std::vector<_Tp, _Alloc>::vector(const std::vector<_Tp, _Alloc>&, const allocator_type&) [with _Tp = at::Tensor; _Alloc = std::allocatorat::Tensor; std::vector<_Tp, _Alloc>::allocator_type = std::allocatorat::Tensor]
vector(const vector& __x, const allocator_type& __a)
^
/usr/include/c++/5/bits/stl_vector.h:339:7: note: conversion of argument 1 would be ill-formed:
/usr/include/c++/5/bits/stl_vector.h:335:7: note: candidate: std::vector<_Tp, _Alloc>::vector(std::vector<_Tp, _Alloc>&&) [with _Tp = at::Tensor; _Alloc = std::allocatorat::Tensor]
vector(vector&& __x) noexcept
^
/usr/include/c++/5/bits/stl_vector.h:335:7: note: candidate expects 1 argument, 2 provided
/usr/include/c++/5/bits/stl_vector.h:318:7: note: candidate: std::vector<_Tp, _Alloc>::vector(const std::vector<_Tp, _Alloc>&) [with _Tp = at::Tensor; _Alloc = std::allocatorat::Tensor]
vector(const vector& __x)
^
/usr/include/c++/5/bits/stl_vector.h:318:7: note: candidate expects 1 argument, 2 provided
/usr/include/c++/5/bits/stl_vector.h:289:7: note: candidate: std::vector<_Tp, _Alloc>::vector(std::vector<_Tp, _Alloc>::size_type, const value_type&, const allocator_type&) [with _Tp = at::Tensor; _Alloc** = std::allocatorat::Tensor; std::vector<_Tp, _Alloc>::size_type = long unsigned int; std::vector<_Tp, _Alloc>::value_type = at::Tensor; std::vector<_Tp, _Alloc>::allocator_type = std::allocatorat::Tensor]
vector(size_type __n, const value_type& __value,
^
/usr/include/c++/5/bits/stl_vector.h:289:7: note: conversion of argument 1 would be ill-formed:
/usr/include/c++/5/bits/stl_vector.h:277:7: note: candidate: std::vector<_Tp, _Alloc>::vector(std::vector<_Tp, _Alloc>::size_type, const allocator_type&) [with _Tp = at::Tensor; _Alloc = std::allocatorat::Tensor; std::vector<_Tp, _Alloc>::size_type = long unsigned int; std::vector<_Tp, _Alloc>::allocator_type = std::allocatorat::Tensor]
vector(size_type __n, const allocator_type& __a = allocator_type())
^
/usr/include/c++/5/bits/stl_vector.h:277:7: note: conversion of argument 1 would be ill-formed:
/usr/include/c++/5/bits/stl_vector.h:264:7: note: candidate: std::vector<_Tp, _Alloc>::vector(const allocator_type&) [with _Tp = at::Tensor; _Alloc = std::allocatorat::Tensor; std::vector<_Tp, _Alloc>::allocator_type = std::allocatorat::Tensor]
vector(const allocator_type& __a) _GLIBCXX_NOEXCEPT
^
/usr/include/c++/5/bits/stl_vector.h:264:7: note: candidate expects 1 argument, 2 provided
/usr/include/c++/5/bits/stl_vector.h:253:7: note: candidate: std::vector<_Tp, _Alloc>::vector() [with _Tp = at::Tensor; _Alloc = std::allocatorat::Tensor]
vector()
^
/usr/include/c++/5/bits/stl_vector.h:253:7: note: candidate expects 0 arguments, 2 provided
src/monodepth/layers/CMakeFiles/layers.dir/build.make:75: recipe for target 'src/monodepth/layers/CMakeFiles/layers.dir/conv2d.cpp.o' failed
make[2]: *** [src/monodepth/layers/CMakeFiles/layers.dir/conv2d.cpp.o] Error 1
CMakeFiles/Makefile2:275: recipe for target 'src/monodepth/layers/CMakeFiles/layers.dir/all' failed
make[1]: *** [src/monodepth/layers/CMakeFiles/layers.dir/all] Error 2
Makefile:129: recipe for target 'all' failed
make: *** [all] Error 2

[DK05310214]

Hello have you fix this problem?
I likely have the same bug.