Potential Issue with Pandas Dataframe
Labels: needs reproduction, triaged, oncall: pt2

### 🐛 Describe the bug

When using torch.compile, I am experiencing an error in my dataset class specifically due to a len() call on a pandas data frame. My guess is that the code may be getting compiled into a boolean statement with incorrect syntax checking if the data frame is empty or not.

### Error logs

ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

### Minified repro

_No response_

### Versions

Collecting environment information...
PyTorch version: 2.0.1+cu118    
Is debug build: False
CUDA used to build PyTorch: 11.8
ROCM used to build PyTorch: N/A 

OS: Ubuntu 22.04.2 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.25.0
Libc version: glibc-2.35

Python version: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] (64-bit runtime)     
Python platform: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA RTX A2000 8GB Laptop GPU
Nvidia driver version: 528.79
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:                   46 bits physical, 48 bits virtual
Byte Order:                      Little Endian
CPU(s):                          20
On-line CPU(s) list:             0-19
Vendor ID:                       GenuineIntel
Model name:                      12th Gen Intel(R) Core(TM) i7-12800H
CPU family:                      6
Model:                           154
Thread(s) per core:              2
Core(s) per socket:              10
Socket(s):                       1
Stepping:                        3
BogoMIPS:                        5606.40
Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mc
a cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_t
sc rep_good nopl xtopology tsc_reliable nonstop_tsc cpuid pni pclmulqdq ssse3 fma cx16 p
cid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowpre
fetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase bmi1 avx2 smep bmi2 erm
s invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves umip gfn
i vaes vpclmulqdq rdpid fsrm flush_l1d arch_capabilities
Hypervisor vendor:               Microsoft
Virtualization type:             full
L1d cache:                       480 KiB (10 instances)
L1i cache:                       320 KiB (10 instances)
L2 cache:                        12.5 MiB (10 instances)
L3 cache:                        24 MiB (1 instance)
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:          Mitigation; Enhanced IBRS
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 fillin
g, PBRSB-eIBRS SW sequence
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Not affected

Versions of relevant libraries:
[pip3] numpy==1.25.2
[pip3] torch==2.0.1+cu118
[pip3] torchaudio==2.0.2+cu118
[pip3] torchmetrics==1.0.1
[pip3] torchvision==0.15.2+cu118
[pip3] triton==2.0.0
[conda] Could not collect


cc @ezyang @msaroufim @wconstab @bdhirsh @anijain2305