Repository: pytorch
Issue: TORCHDYNAMO_REPRO_AFTER=aot produces invalid repro code
Labels: triaged,oncall: pt2,module: minifier

### 🐛 Describe the bug

I was trying to submit a bug report but, while obtaining a minimal repro, I observed that the code produced by setting TORCHDYNAMO_REPRO_AFTER=aot is invalid:
```
$ python torch_compile_debug/run_2024_06_17_14_02_55_050888-pid_1809419/minifier/minifier_launcher.py
  File "/home/lcw/my_repo/torch_compile_debug/run_2024_06_17_14_02_55_050888-pid_1809419/minifier/minifier_launcher.py", line 18
    torch._inductor.config.post_grad_custom_post_pass = <function post_grad_custom_post_pass at 0x7fc837dba680>
                                                        ^
SyntaxError: invalid syntax
```

This is the beginning on that file:
<details>
<summary>Details</summary>

```
import torch
from torch import tensor, device
import torch.fx as fx
from torch._dynamo.testing import rand_strided
from math import inf
import torch._inductor.inductor_prims

import torch._dynamo.config
import torch._inductor.config
import torch._functorch.config
import torch.fx.experimental._config
torch._dynamo.config.cache_size_limit = 2
torch._dynamo.config.accumulated_cache_size_limit = 1024
torch._dynamo.config.automatic_dynamic_shapes = False
torch._dynamo.config.inline_inbuilt_nn_modules = True
torch._dynamo.config._experimental_support_context_fn_in_torch_utils_checkpoint = True
torch._inductor.config.post_grad_custom_post_pass = <function post_grad_custom_post_pass at 0x7fc837dba680>




isolate_fails_code_str = None



# torch version: 2.4.0.dev20240612
# torch cuda version: 12.1
# torch git version: b5335bf3464ba56cd96081cf6da6575d4197941c


# CUDA Info:
# nvcc: NVIDIA (R) Cuda compiler driver
# Copyright (c) 2005-2023 NVIDIA Corporation
# Built on Mon_Apr__3_17:16:06_PDT_2023
# Cuda compilation tools, release 12.1, V12.1.105
# Build cuda_12.1.r12.1/compiler.32688072_0

# GPU Hardware Info:
# NVIDIA H100 80GB HBM3 : 8


from torch.nn import *
class Repro(torch.nn.Module):
    def __init__(self):
        super().__init__()
```

</details>

### Versions

PyTorch version: 2.4.0.dev20240612
Is debug build: False
CUDA used to build PyTorch: 12.1
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 3.29.5
Libc version: glibc-2.31

Python version: 3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 12:45:18) [GCC 12.3.0] (64-bit runtime)
Python platform: Linux-5.15.0-1048-aws-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 12.1.105
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA H100 80GB HBM3
GPU 1: NVIDIA H100 80GB HBM3
GPU 2: NVIDIA H100 80GB HBM3
GPU 3: NVIDIA H100 80GB HBM3
GPU 4: NVIDIA H100 80GB HBM3
GPU 5: NVIDIA H100 80GB HBM3
GPU 6: NVIDIA H100 80GB HBM3
GPU 7: NVIDIA H100 80GB HBM3

Nvidia driver version: 535.104.12
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:                      48 bits physical, 48 bits virtual
CPU(s):                             192
On-line CPU(s) list:                0-191
Thread(s) per core:                 2
Core(s) per socket:                 48
Socket(s):                          2
NUMA node(s):                       2
Vendor ID:                          AuthenticAMD
CPU family:                         25
Model:                              1
Model name:                         AMD EPYC 7R13 Processor
Stepping:                           1
CPU MHz:                            2649.998
BogoMIPS:                           5299.99
Hypervisor vendor:                  KVM
Virtualization type:                full
L1d cache:                          3 MiB
L1i cache:                          3 MiB
L2 cache:                           48 MiB
L3 cache:                           384 MiB
NUMA node0 CPU(s):                  0-47,96-143
NUMA node1 CPU(s):                  48-95,144-191
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 and seccomp
Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:           Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds:                Not affected
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 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf tsc_known_freq pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch topoext perfctr_core invpcid_single ssbd ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 clzero xsaveerptr rdpru wbnoinvd arat npt nrip_save vaes vpclmulqdq rdpid

Versions of relevant libraries:
[pip3] flake8==7.0.0
[pip3] lovely-numpy==0.2.11
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.24.4
[pip3] torch==2.4.0.dev20240612
[pip3] torchmetrics==0.10.3
[pip3] torchvision==0.19.0.dev20240610+cu121
[pip3] triton==3.0.0
[conda] Could not collect

cc @ezyang @anijain2305 @chauhang