torch.export.export Fails with RuntimeError and "Please file an issue on github"

### 🐛 Describe the bug

The code below fails when executed with the Python Debugger, but works when executed from the CLI.
Enabling `strict` mode makes the program run correctly even in the debugger.

```python
import torch
from torch.export.exported_program import ExportedProgram
from typing import override

class Example(torch.nn.Module):
def __init__(self):
super().__init__()

@override
def forward(self, x: torch.Tensor) -> torch.Tensor:
indices = torch.where(x > torch.ones((5,), dtype=torch.float32))
selected = x[indices]
return selected

exported_program: ExportedProgram = torch.export.export(
Example(),
( torch.tensor([0, 1, 2, 3, 4], dtype=torch.float32),),
# strict=True,
)
```

The error:

```text
Exception has occurred: RuntimeError
We found a fake tensor in the exported program constant's list. This typically means our tracing system encountered an op that we can't trace through. For the potential source, you can refer to following model attribute: lifted_tensor_0. Please file an issue on github.
File "/.../bug_test.py", line 16, in
Example(),

...<3 lines>...
# strict=True,

RuntimeError: We found a fake tensor in the exported program constant's list. This typically means our tracing system encountered an op that we can't trace through. For the potential source, you can refer to following model attribute: lifted_tensor_0. Please file an issue on github.
```

### Versions

```
curl -sL https://raw.githubusercontent.com/pytorch/pytorch/main/torch/utils/collect_env.py | python
Collecting environment information...
PyTorch version: 2.11.0+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04.4 LTS (x86_64)
GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version: Could not collect
CMake version: version 4.3.2
Libc version: glibc-2.39

Python version: 3.14.6 (main, Jun 11 2026, 12:32:48) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-6.5.0-44-generic-x86_64-with-glibc2.39
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Is XPU available: False
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Caching allocator config: N/A

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 12
On-line CPU(s) list: 0-11
Vendor ID: GenuineIntel
Model name: 13th Gen Intel(R) Core(TM) i7-1355U
CPU family: 6
Model: 186
Thread(s) per core: 2
Core(s) per socket: 10
Socket(s): 1
Stepping: 3
CPU(s) scaling MHz: 51%
CPU max MHz: 5000.0000
CPU min MHz: 400.0000
BogoMIPS: 5222.40
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtprpdcm sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 ermsinvpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi vnmi umip pku ospke waitpkg gfni vaes vpclmulqdq rdpid movdiri movdir64b fsrm md_clear serialize arch_lbr ibt flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 352 KiB (10 instances)
L1i cache: 576 KiB (10 instances)
L2 cache: 6.5 MiB (4 instances)
L3 cache: 12 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: Not affected
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; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] flake8==7.3.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==2.4.6
[pip3] torch==2.11.0+cpu
[pip3] torchvision==0.26.0+cpu
[conda] Could not collect
```

The same behaviour happens with `torch==2.10.0+cpu`.

cc @chauhang @penguinwu

Start by running the reproduction in bug_test.py through torch.export.export, comparing CLI and Python Debugger execution with strict mode disabled and enabled. Inspect torch.export.exported_program.ExportedProgram and the reported lifted_tensor_0 constant; done means the debugger path exports successfully without the fake-tensor RuntimeError while preserving the CLI behavior.

Written by the indexing model from the issue text.