🐛 Describe the bug

Traceback (most recent call last):
  File "/home/default/driver state detection/Fabian/facial landmarks/STAR/demo_CH.py", line 302, in <module>
    onnx.checker.check_model(model_onnx)
  File "/home/default/anaconda3/envs/driverstate/lib/python3.10/site-packages/onnx/checker.py", line 136, in check_model
    C.check_model(protobuf_string, full_check)
onnx.onnx_cpp2py_export.checker.ValidationError: Mismatched attribute type in 'Constant_5 : value_int'

Tried converting a repo's pretrained model and got the following error. I have tried exporting using the usual torch.onnx.export(self.alignment, input_tensor, "model2.onnx") but the output gave me a 2 input and 2 output model (should only be 1).

Versions

Collecting environment information...
PyTorch version: 2.2.0.dev20231102+cu118
Is debug build: False
CUDA used to build PyTorch: 11.8
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.6 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version: Could not collect
CMake version: version 3.27.4
Libc version: glibc-2.31

Python version: 3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:40:32) [GCC 12.3.0] (64-bit runtime)
Python platform: Linux-5.15.133.1-microsoft-standard-WSL2-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2070 Super
Nvidia driver version: 531.41
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 39 bits physical, 48 bits virtual
CPU(s): 16
On-line CPU(s) list: 0-15
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 165
Model name: Intel(R) Core(TM) i7-10870H CPU @ 2.20GHz
Stepping: 2
CPU MHz: 2208.006
BogoMIPS: 4416.01
Virtualization: VT-x
Hypervisor vendor: Microsoft
Virtualization type: full
L1d cache: 256 KiB
L1i cache: 256 KiB
L2 cache: 2 MiB
L3 cache: 16 MiB
Vulnerability Gather data sampling: Unknown: Dependent on hypervisor status
Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Retbleed: Mitigation; Enhanced IBRS
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds: Unknown: Dependent on hypervisor status
Vulnerability Tsx async abort: Not affected
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology cpuid pni pclmulqdq vmx ssse3 fma cx16 pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi ept vpid ept_ad fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt xsaveopt xsavec xgetbv1 xsaves flush_l1d arch_capabilities

Versions of relevant libraries:
[pip3] numpy==1.24.1
[pip3] onnx==1.14.1
[pip3] onnxruntime-gpu==1.16.1
[pip3] onnxscript==0.1.0.dev20231026
[pip3] pytorch-triton==2.1.0+6e4932cda8
[pip3] torch==2.2.0.dev20231102+cu118
[pip3] torch-tensorrt==1.4.0
[pip3] torchaudio==2.2.0.dev20231102+cu118
[pip3] torchvision==0.17.0.dev20231102+cu118
[pip3] triton==2.0.0
[conda] numpy 1.24.1 pypi_0 pypi
[conda] pytorch-triton 2.1.0+6e4932cda8 pypi_0 pypi
[conda] torch 2.2.0.dev20231102+cu118 pypi_0 pypi
[conda] torch-tensorrt 1.4.0 pypi_0 pypi
[conda] torchaudio 2.2.0.dev20231102+cu118 pypi_0 pypi
[conda] torchvision 0.17.0.dev20231102+cu118 pypi_0 pypi
[conda] triton 2.0.0 pypi_0 pypi

cc @ezyang @msaroufim @wconstab @bdhirsh @anijain2305 @zou3519 @avikchaudhuri @gmagogsfm @zhxchen17 @tugsbayasgalan @angelayi @suo @ydwu4