Vibe-coded with Codex, after collecting a backtrace, seehttps://chatgpt.com/s/cd_68438be8a1248191adbfa0a5f000e60bEven though, check for empty tensor list exists in `at::cat` crash might happens while resolving named dimension to position, by calling `dimname_to_position(tensors[0], dim)`, see backtrace below```(lldb) upframe#1: 0x00000001101146dc libtorch_cpu.dylib`at::TensorBase::has_names(this=0x0000000000000000) const at TensorBase.h:559:10   556   bool has_names() const {   557     // If a user is using unnamed tensors, then we can short-circuit right here.   558     // Otherwise, impl::has_names attempts to retrieve names.-> 559     if (!impl_->has_named_tensor_meta()) {   560       return false;   561     }   562     return impl::has_names(unsafeGetTensorImpl());(lldb) upframe#2: 0x00000001101144c4 libtorch_cpu.dylib`at::dimname_to_position(tensor=0x0000000000000000, dim=Dimname @ 0x000000016fdfe348) at NamedTensorUtils.cpp:23:3   20  int64_t dimname_to_position(const Tensor& tensor, Dimname dim) {   21    TORCH_CHECK(dim.type() != NameType::WILDCARD,   22        "Please look up dimensions by name, got: name = None.");-> 23    TORCH_CHECK(tensor.has_names(),   24        "Name ", dim, " not found in ", toDimnameRepr(tensor), ".");   25    const auto names = tensor.names();   26```TODOs: - May be move test from `test_tensor_creation.py` to OpInfo (not sure which one is more readable) - Replace  `TORCH_CHECK` with `TORCH_CHECK_VALUE` and adjust unit testsFixes#155306Pull Requestresolved:#155383Approved by:https://github.com/cyyever,https://github.com/ezyangghstack dependencies:#155382