Repository: pytorch
Issue: [JIT] Unexpected change in requires_grad attribute after calling JIT traced function with the profiling executor disabled
Labels: oncall: jit

### 🐛 Describe the bug

When the JIT profiling executor is disabled, a JIT traced function with in-place operations unexpectedly changes the requires_grad flag of its input to true. However, this does not occur if check_trace is enabled or the traced function is called once under torch.no_grad().

Minimal reproducing code:

```python
import torch
torch._C._jit_set_profiling_executor(False)

def foo(a):
    d = 1 + (a * 2)
    # d = a * 2 # no effect
    # d = 1 + a # no effect
    a.copy_(d) # necessary
    return d

device = 'cpu'
aa = torch.randn(42, dtype=torch.float, requires_grad=False, device=device)

foo = torch.jit.trace(
    foo,
    example_inputs=(aa),
    check_trace=False,
)

# with torch.no_grad():
#     foo(aa.clone())

assert not aa.requires_grad
d = foo(aa)
assert not aa.requires_grad, 'aa.requires_grad changed to true'

```

error message:

```
Traceback (most recent call last):
  File "poc.py", line 22, in <module>
    assert not aa.requires_grad, 'aa.requires_grad changed to true'
AssertionError: aa.requires_grad changed to true
```

Note:
- the in-place operation is necessary to trigger this behavior
- does not occur for functions with too few tensor operations
- this behavior is observed in pytorch 1.13.1, 2.1.0, and 2.3.0


### Versions

Collecting environment information...
PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Manjaro Linux (x86_64)
GCC version: (GCC) 13.2.1 20230801
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.39

Python version: 3.8.19 (default, Mar 20 2024, 19:58:24)  [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.1.85-1-MANJARO-x86_64-with-glibc2.17
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: 550.76
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) i9-12900H
CPU family:                           6
Model:                                154
Thread(s) per core:                   2
Core(s) per socket:                   14
Socket(s):                            1
Stepping:                             3
CPU(s) scaling MHz:                   21%
CPU max MHz:                          5000.0000
CPU min MHz:                          400.0000
BogoMIPS:                             5839.00
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 xtpr pdcm 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 vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid 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 umip pku ospke waitpkg gfni vaes vpclmulqdq tme rdpid movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr ibt flush_l1d arch_capabilities
Virtualization:                       VT-x
L1d cache:                            544 KiB (14 instances)
L1i cache:                            704 KiB (14 instances)
L2 cache:                             11.5 MiB (8 instances)
L3 cache:                             24 MiB (1 instance)
NUMA node(s):                         1
NUMA node0 CPU(s):                    0-19
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 Reg file data sampling: Vulnerable: No microcode
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] numpy==1.24.4
[pip3] torch==2.3.0
[pip3] triton==2.3.0
[conda] numpy                     1.24.4                   pypi_0    pypi
[conda] torch                     2.3.0                    pypi_0    pypi
[conda] triton                    2.3.0                    pypi_0    pypi

cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel