M3 Compile issues

[bybeye]

I attempted to compile pytorch_sparse version 0.6.18 using C++ with the commands provided on the homepage, but I encountered an error.

4 warnings generated.
[ 54%] Building CXX object CMakeFiles/torchsparse.dir/csrc/diag.cpp.o
[ 58%] Building CXX object CMakeFiles/torchsparse.dir/csrc/ego_sample.cpp.o
[ 62%] Building CXX object CMakeFiles/torchsparse.dir/csrc/hgt_sample.cpp.o
[ 66%] Building CXX object CMakeFiles/torchsparse.dir/csrc/metis.cpp.o
[ 70%] Building CXX object CMakeFiles/torchsparse.dir/csrc/neighbor_sample.cpp.o
[ 75%] Building CXX object CMakeFiles/torchsparse.dir/csrc/relabel.cpp.o
[ 79%] Building CXX object CMakeFiles/torchsparse.dir/csrc/rw.cpp.o
[ 83%] Building CXX object CMakeFiles/torchsparse.dir/csrc/saint.cpp.o
[ 87%] Building CXX object CMakeFiles/torchsparse.dir/csrc/sample.cpp.o
[ 91%] Building CXX object CMakeFiles/torchsparse.dir/csrc/spmm.cpp.o
[ 95%] Building CXX object CMakeFiles/torchsparse.dir/csrc/version.cpp.o
[100%] Linking CXX shared library libtorchsparse.dylib
Undefined symbols for architecture arm64:
"___kmpc_fork_call", referenced from:
void at::internal::invoke_parallel<void at::parallel_for<ind2ptr_cpu(at::Tensor, long long)::$_0>(long long, long long, long long, ind2ptr_cpu(at::Tensor, long long)::$_0 const&)::'lambda'(long long, long long)>(long long, long long, long long, ind2ptr_cpu(at::Tensor, long long)::$_0 const&) in convert_cpu.cpp.o
void at::internal::invoke_parallel<void at::parallel_for<ptr2ind_cpu(at::Tensor, long long)::$_1>(long long, long long, long long, ptr2ind_cpu(at::Tensor, long long)::$_1 const&)::'lambda'(long long, long long)>(long long, long long, long long, ptr2ind_cpu(at::Tensor, long long)::$_1 const&) in convert_cpu.cpp.o
void at::internal::invoke_parallel<void at::parallel_for<ego_k_hop_sample_adj_cpu(at::Tensor, at::Tensor, at::Tensor, long long, long long, bool)::$_0>(long long, long long, long long, ego_k_hop_sample_adj_cpu(at::Tensor, at::Tensor, at::Tensor, long long, long long, bool)::$_0 const&)::'lambda'(long long, long long)>(long long, long long, long long, ego_k_hop_sample_adj_cpu(at::Tensor, at::Tensor, at::Tensor, long long, long long, bool)::$_0 const&) in ego_sample_cpu.cpp.o

After facing this issue, I switched to the master branch and encountered a different error related to the compile version.

/Users/xxx/Applications/libtorch/include/ATen/ATen.h:4:2:error: C++17 or later compatible compiler is required to use ATen.
#error C++17 or later compatible compiler is required to use ATen.
^
In file included from /Users/xxx/Applications/pytorch_sparse-master/csrc/convert.cpp:4:
In file included from /Users/xxx/Applications/libtorch/include/torch/script.h:3:
In file included from /Users/xxx/Applications/libtorch/include/torch/csrc/api/include/torch/types.h:3:
In file included from /Users/xxx/Applications/libtorch/include/ATen/ATen.h:7:
In file included from /Users/xxx/Applications/libtorch/include/ATen/Context.h:3:
In file included from /Users/xxx/Applications/libtorch/include/ATen/BlasBackend.h:3:
/Users/xxx/Applications/libtorch/include/c10/util/Exception.h:122:34: error: no template named 'variant' in namespace 'std'
using warning_variant_t = std::variant<UserWarning, DeprecationWarning>;

Thanks for your help.