Tracking issue for segfaults and floating point exceptions on 1.12.0
Labels: triaged

### 🐛 Describe the bug

- [ ] [Segfault when running torch.remainder](https://drive.google.com/drive/folders/1jA5Cpn99rPn9lYThZWkBH42nqVPzqhXe?usp=share_link)
- [ ] [Segfault when running torch.cuda.comm.broadcast_coalesced](https://drive.google.com/drive/folders/1-ETSBXl4xu-ab8Pwsx3RUHvUbFf9frPR?usp=share_link)
- [ ] [Segfault when running torch.add](https://drive.google.com/drive/folders/1mZmGRNQWwgjHqIOU0l4IGs8IyflxOaoS?usp=share_link)
- [ ] [Segfault when running torch.bitwise_and](https://drive.google.com/drive/folders/1plZksdun90wJs_lwAvwaQZQQikwT21_H?usp=share_link)
- [ ] [Segfault when running torch.bitwise_xor](https://drive.google.com/drive/folders/1V0-5G28M7OnEWFYVWXxoNc-Ok-WsxBSc?usp=share_link)
- [ ] [Segfault when running torch.div2](https://drive.google.com/drive/folders/1PqE5zu1Lbd20eXjhDHZqDO0Lw0P4ExBw?usp=share_link)
- [ ] [Segfault when running torch.div](https://drive.google.com/drive/folders/1KKmq44ft9QOzKbElUHR0C3H03rD9j0P0?usp=share_link)
- [ ] [Segfault when running torch.floor_divide](https://drive.google.com/drive/folders/1Zsr7sJCdmHRJZqOT1cd4JzJbkPowDn27?usp=share_link)
- [ ] [Segfault when running torch.fmod](https://drive.google.com/drive/folders/1w2K3k11RxMHhq-0urnZaEi-1v7rtd7Dj?usp=share_link)
- [ ] [Segfault when running torch.gt](https://drive.google.com/drive/folders/1CzAqXDfS11U4jMP2bw6BmIveeIO3410G?usp=share_link)
- [ ] [Segfault when running torch.inverse](https://drive.google.com/drive/folders/1lkbMUD7dsbDuQr3XRZrASljLoXM6RNPJ?usp=share_link)
- [ ] [Segfault when running torch.le](https://drive.google.com/drive/folders/1evE2hJP-AEs7XInukfO0nCGjqTaO-zqM?usp=share_link)
- [ ] [Segfault when running torch.ge](https://drive.google.com/drive/folders/17RtDKt36NHEho0HTJZjeAEbkT-upO4Ci?usp=share_link)
- [ ] [Segfault when running torch.lt](https://drive.google.com/drive/folders/1yIIdp2AhNK4Ijy7Z5x1eLBmvYm2_2laB?usp=share_link)
- [ ] [Segfault when running torch.lu_unpack](https://drive.google.com/drive/folders/1wT6zNZG5-9T7El5aCVgHfhQ05PaWRf-A?usp=share_link)
- [ ] [Segfault when running torch.max22 ](https://drive.google.com/drive/folders/1VYKv2Ud0tUp6_KlhKV8zY_NXurbK37Pc?usp=share_link)
- [ ] [Floating point exception when running torch.nn.functional.conv_transpose2d](https://drive.google.com/drive/folders/1zml0DkTYieoSZ4nkCIXxsO7HYoXO_c15?usp=share_link)
- [ ] [Floating point exception when running torch.nn.functional.conv_transpose1d](https://drive.google.com/drive/folders/13chOzyrFbQMcYMsA2zv-0m30WGjtJGre?usp=share_link)
- [ ] [Segfault when running torch.cuda.comm.broadcast_coalesced](https://drive.google.com/drive/folders/1EFsgNhsnUNqxTHQCop_wfOz1SEDDJW5b?usp=share_link)
- [ ] [Floating point exception when running torch.nn.functional.conv2d](https://drive.google.com/drive/folders/1o2yrAlcqz_nkZcdqTs6COyJ8rZDHvwuk?usp=share_link)
- [ ] [Segfault when running torch.mul](https://drive.google.com/drive/folders/1Rh1xigvDufJ9Ff_462lMIv3H-fH6176C?usp=share_link)




### Versions

```
PyTorch version: 1.12.0
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.9.15 (main, Nov 24 2022, 14:31:59)  [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-58-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: 
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1660 Ti
Nvidia driver version: 525.78.01
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.12.0
[pip3] torchaudio==0.12.0
[pip3] torchvision==0.13.0
[conda] blas                      1.0                         mkl  
[conda] cudatoolkit               10.2.89              hfd86e86_1  
[conda] ffmpeg                    4.3                  hf484d3e_0    pytorch
[conda] mkl                       2021.4.0           h06a4308_640  
[conda] mkl-service               2.4.0            py39h7f8727e_0  
[conda] mkl_fft                   1.3.1            py39hd3c417c_0  
[conda] mkl_random                1.2.2            py39h51133e4_0  
[conda] numpy                     1.23.5           py39h14f4228_0  
[conda] numpy-base                1.23.5           py39h31eccc5_0  
[conda] pytorch                   1.12.0          py3.9_cuda10.2_cudnn7.6.5_0    pytorch
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torchaudio                0.12.0               py39_cu102    pytorch
[conda] torchvision               0.13.0               py39_cu102    pytorch
```