Repository: pytorch
Issue: FP16/BF16 - FP8 mixed matmul causes core dump
Labels: triaged,oncall: pt2,module: float8

### 🐛 Describe the bug

```python
import torch
import torch._inductor.config

torch._inductor.config.force_mixed_mm = True

def f(a, b):
    return torch.mm(a, b.to(a.dtype))

fp16_act = torch.randn(1, 32).to(torch.float16).cuda()
fp8_weight = torch.randn(32, 32).to(torch.float8_e5m2).cuda()
torch.compile(f)(fp16_act, fp8_weight)
```

Seems to be related: https://github.com/pytorch/pytorch/issues/107423

### Error logs

For `float8_e5m2`, `float8_e4m3fn`, `float8_e4m3fnuz`

```
loc("/tmp/torchinductor_thien/is/cisggtsuik3qqscjovsgx76art66ygnqksktfm6trgmktimudyyu.py":76:21): error:  size mismatch when packing elements for LLVM struct expected 4 but got 8
python: /root/.triton/llvm/llvm-6f44bb77-centos-x64/include/llvm/ADT/ArrayRef.h:257: const T& llvm::ArrayRef<T>::operator[](size_t) const [with T = mlir::Type; size_t = long unsigned int]: Assertion `Index < Length && "Invalid index!"' failed.
[1]    13499 IOT instruction (core dumped)  python test.py
```

For `float8_e5m2fnuz`

```
Unsupported conversion from f8E5M2FNUZ to f16
LLVM ERROR: Unsupported rounding mode for conversion.
[1]    14122 IOT instruction (core dumped)  python test.py
```

### Minified repro

_No response_

### Versions

```
Collecting environment information...
PyTorch version: 2.4.0.dev20240610+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.10.14 (main, May  6 2024, 19:42:50) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.5.0-35-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.4.131
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 4070 Ti SUPER
Nvidia driver version: 550.67
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
Address sizes:                      48 bits physical, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             12
On-line CPU(s) list:                0-11
Vendor ID:                          AuthenticAMD
Model name:                         AMD Ryzen 5 5600 6-Core Processor
CPU family:                         25
Model:                              33
Thread(s) per core:                 2
Core(s) per socket:                 6
Socket(s):                          1
Stepping:                           0
Frequency boost:                    enabled
CPU max MHz:                        4467.2852
CPU min MHz:                        2200.0000
BogoMIPS:                           6999.77
Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm
Virtualization:                     AMD-V
L1d cache:                          192 KiB (6 instances)
L1i cache:                          192 KiB (6 instances)
L2 cache:                           3 MiB (6 instances)
L3 cache:                           32 MiB (1 instance)
NUMA node(s):                       1
NUMA node0 CPU(s):                  0-11
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit:        Not affected
Vulnerability L1tf:                 Not affected
Vulnerability Mds:                  Not affected
Vulnerability Meltdown:             Not affected
Vulnerability Mmio stale data:      Not affected
Vulnerability Retbleed:             Not affected
Vulnerability Spec rstack overflow: Mitigation; Safe RET
Vulnerability Spec store bypass:    Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:           Mitigation; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Not affected

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] pytorch-triton==3.0.0+45fff310c8
[pip3] torch==2.4.0.dev20240610+cu124
[pip3] torchao==0.2.0
[pip3] torchaudio==2.4.0.dev20240610+cu124
[pip3] torchvision==0.19.0.dev20240610+cu124
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] pytorch-triton            3.0.0+45fff310c8          pypi_0    pypi
[conda] torch                     2.4.0.dev20240610+cu124          pypi_0    pypi
[conda] torchao                   0.2.0                     dev_0    <develop>
[conda] torchaudio                2.4.0.dev20240610+cu124          pypi_0    pypi
[conda] torchvision               0.19.0.dev20240610+cu124          pypi_0    pypi
```

cc @ezyang @bdhirsh @anijain2305 @chauhang @yanbing-j @vkuzo @albanD @kadeng @jerryzh168 @jianyuh @raghuramank100 @jamesr66a @jgong5 @Xia-Weiwen @leslie-fang-intel @msaroufim