[torch.fx] _FunctionalizationMetadataProp.propagate method can't use non-tensor args

🐛 Describe the bug

if the arg of _FunctionalizationMetadataProp.propagate is not tensor, we will get error like "AttributeError: 'SymInt' object has no attribute 'device'".

Use the following example to reproduce the error:

import torch
from torch.fx.experimental.proxy_tensor import make_fx
from torch.fx.passes.reinplace import _FunctionalizationMetadataProp
from torch.fx.experimental.symbolic_shapes import ShapeEnv
from torch._dynamo.source import ConstantSource
from torch.fx.experimental.sym_node import SymNode

def fn(x, index):
    res = torch.select(x, 0, index)
    return res.relu()

a = torch.randn((4, 8, 16, 16), requires_grad=False)
graph_module = make_fx(fn)(a, 2)
print(graph_module.print_readable(False))

val = 2
shape_env = ShapeEnv()
symbol = shape_env.create_symbol(val, source=ConstantSource(
    f"__testing_only{len(shape_env.var_to_val)}"))
sym_int = torch.SymInt(SymNode(symbol, shape_env, int, hint=val))
example_inputs = [a, sym_int]
_FunctionalizationMetadataProp(graph_module).propagate(*(example_inputs))

print("done")

Versions

Collecting environment information... PyTorch version: 2.5.0.dev20240810+cpu Is debug build: False CUDA used to build PyTorch: None ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: 14.0.0-1ubuntu1.1 CMake version: version 3.28.1 Libc version: glibc-2.35

Python version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0] (64-bit runtime) Python platform: Linux-5.15.0-113-generic-x86_64-with-glibc2.35 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 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: 43 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 12 On-line CPU(s) list: 0-11 Vendor ID: GenuineIntel Model name: Intel(R) Xeon(R) Gold 5220R CPU @ 2.20GHz CPU family: 6 Model: 85 Thread(s) per core: 1 Core(s) per socket: 6 Socket(s): 2 Stepping: 0 BogoMIPS: 4389.68 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon nopl xtopology tsc_reliable nonstop_tsc cpuid tsc_known_freq pni pclmulqdq vmx ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti ssbd ibrs ibpb stibp tpr_shadow vnmi ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 invpcid avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xsaves arat pku ospke md_clear flush_l1d arch_capabilities Virtualization: VT-x Hypervisor vendor: VMware Virtualization type: full L1d cache: 384 KiB (12 instances) L1i cache: 384 KiB (12 instances) L2 cache: 12 MiB (12 instances) L3 cache: 71.5 MiB (2 instances) NUMA node(s): 1 NUMA node0 CPU(s): 0-11 Vulnerability Gather data sampling: Unknown: Dependent on hypervisor status Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled Vulnerability L1tf: Mitigation; PTE Inversion; VMX flush not necessary, SMT disabled Vulnerability Mds: Mitigation; Clear CPU buffers; SMT Host state unknown Vulnerability Meltdown: Mitigation; PTI Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT Host state unknown Vulnerability Retbleed: Mitigation; IBRS Vulnerability Spec rstack overflow: Not affected 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; IBRS; IBPB conditional; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Syscall hardening, KVM SW loop Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected

Versions of relevant libraries: [pip3] flake8==6.1.0 [pip3] flake8-bugbear==23.3.23 [pip3] flake8-comprehensions==3.15.0 [pip3] flake8-executable==2.1.3 [pip3] flake8-logging-format==0.9.0 [pip3] flake8-pyi==23.3.1 [pip3] flake8-simplify==0.19.3 [pip3] mypy==1.10.0 [pip3] mypy-extensions==1.0.0 [pip3] numpy==1.26.0 [pip3] optree==0.12.1 [pip3] pytorch-triton==3.0.0+45fff310c8 [pip3] torch==2.5.0a0+git48fa035 [pip3] torchaudio==2.2.0.dev20240429+cu118 [pip3] torchvision==0.20.0.dev20240726+cpu [conda] Could not collect

cc @ezyang @chauhang @penguinwu

pytorch / pytorch

[torch.fx] _FunctionalizationMetadataProp.propagate method can't use non-tensor args #133176

🐛 Describe the bug

Versions