[FX] Symbolic trace over `torch.Tensor.${fn}` APIs
Labels: oncall: fx

### 🐛 Describe the bug

`torch.fx.symbolic_trace` seems to not support usages like `torch.Tensor.xxx`.

```python
import torch

def f(x):
    return torch.Tensor.flatten(x)
    # return x.flatten()                    # works
    # return torch.Tensor.flip(x, dims=[0]) # fails too

torch.fx.symbolic_trace(f)  # fails
# torch.compile(f)          # works
```

While such usages are incommon, I wonder if it is possible to support such styles as at least they are used in unit tests (e.g., `test_binary_ufuncs.py`)? Or may is there a way to magically regard `torch.Tensor.${fn}(x, *args)` as `x.${fn}(*args)`?

### Versions

<details><summary><i>Environments :: Click to expand.</i></summary>
<div>


```python
"""
Collecting environment information...
PyTorch version: 2.1.0.dev20230403+cu118
Is debug build: False
CUDA used to build PyTorch: 11.8
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.6 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: 10.0.0-4ubuntu1 
CMake version: version 3.22.2
Libc version: glibc-2.31

Python version: 3.8.13 (default, Mar 28 2022, 11:38:47)  [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.15.0-67-generic-x86_64-with-glibc2.17
Is CUDA available: True
CUDA runtime version: 12.1.66
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2080 Ti
Nvidia driver version: 530.30.02
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.8.1
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.8.1
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.8.1
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.8.1
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.8.1
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.8.1
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.8.1
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:                   39 bits physical, 48 bits virtual
CPU(s):                          16
On-line CPU(s) list:             0-15
Thread(s) per core:              2
Core(s) per socket:              8
Socket(s):                       1
NUMA node(s):                    1
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           165
Model name:                      Intel(R) Core(TM) i7-10700K CPU @ 3.80GHz
Stepping:                        5
CPU MHz:                         3800.000
CPU max MHz:                     5100.0000
CPU min MHz:                     800.0000
BogoMIPS:                        7599.80
L1d cache:                       256 KiB
L1i cache:                       256 KiB
L2 cache:                        2 MiB
L3 cache:                        16 MiB
NUMA node0 CPU(s):               0-15
Vulnerability Itlb multihit:     KVM: Mitigation: VMX unsupported
Vulnerability L1tf:              Not affected
Vulnerability Mds:               Not affected
Vulnerability Meltdown:          Not affected
Vulnerability Mmio stale data:   Mitigation; Clear CPU buffers; SMT vulnerable
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 filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds:             Mitigation; Microcode
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 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 pni pclmulqdq dtes64 monitor ds_cpl smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp pku ospke md_clear flush_l1d arch_capabilities

Versions of relevant libraries:
[pip3] mypy==0.812
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.22.3
[pip3] pytorch-triton==2.1.0+46672772b4
[pip3] torch==2.1.0.dev20230403+cu118
[pip3] torchaudio==2.1.0.dev20230403+cu118
[pip3] torchvision==0.16.0.dev20230403+cu118
[conda] numpy                     1.22.3                   pypi_0    pypi
[conda] pytorch-triton            2.1.0+46672772b4          pypi_0    pypi
[conda] torch                     2.1.0.dev20230403+cu118          pypi_0    pypi
[conda] torchaudio                2.1.0.dev20230403+cu118          pypi_0    pypi
[conda] torchvision               0.16.0.dev20230403+cu118          pypi_0    pypi
"""
```

</div>
</details>


cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv