Repository: pytorch
Issue: tabulate is used by `torch.fx.graph_module.GraphModule.print_tabular` but is not installed when installing pytorch
Labels: triaged,module: fx

### 🐛 Describe the bug

The sample code from https://pytorch.org/docs/master/dynamo/custom-backends.html#debugging-backend fails on a clean install of pytorch 2.0 rc1 with this command:

```console
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu117
```

On a clean virtual environment

The exception stack trace is:
```console
my_compiler() called with FX graph:
`print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
Traceback (most recent call last):
  File "/envs/pt2/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 670, in call_user_compiler
    compiled_fn = compiler_fn(gm, self.fake_example_inputs())
  File "/envs/pt2/lib/python3.10/site-packages/torch/_dynamo/debug_utils.py", line 1055, in debug_wrapper
    compiled_gm = compiler_fn(gm, example_inputs)
  File "pt2.py", line 5, in my_compiler
    gm.graph.print_tabular()
  File "/envs/pt2/lib/python3.10/site-packages/torch/fx/graph.py", line 1302, in print_tabular
    print(tabulate(node_specs,
UnboundLocalError: local variable 'tabulate' referenced before assignment
```

Below is the code:

```python
from typing import List
import torch
def my_compiler(gm: torch.fx.GraphModule, example_inputs: List[torch.Tensor]):
    print("my_compiler() called with FX graph:")
    gm.graph.print_tabular()
    return gm.forward  # return a python callable
@torch.compile(backend=my_compiler)
def fn(x, y):
    a = torch.cos(x)
    b = torch.sin(y)
    return a + b
fn(torch.randn(10), torch.randn(10))
```

### Versions

Collecting environment information...
PyTorch version: 2.0.0+cu117
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Ubuntu 18.04.6 LTS (x86_64)
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Clang version: 9.0.0 (tags/RELEASE_900/final)
CMake version: version 3.25.0
Libc version: glibc-2.27

Python version: 3.10.6 (main, Aug 30 2022, 16:00:07) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.15.87-051587-generic-x86_64-with-glibc2.27
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA A100-PCIE-40GB
GPU 1: NVIDIA A100-PCIE-40GB

Nvidia driver version: 525.78.01
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:                   43 bits physical, 48 bits virtual
Byte Order:                      Little Endian
CPU(s):                          64
On-line CPU(s) list:             0-63
Vendor ID:                       AuthenticAMD
Model name:                      AMD EPYC 7502 32-Core Processor
CPU family:                      23
Model:                           49
Thread(s) per core:              2
Core(s) per socket:              32
Socket(s):                       1
Stepping:                        0
BogoMIPS:                        5000.28
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 rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sme sev sev_es
Virtualization:                  AMD-V
L1d cache:                       1 MiB (32 instances)
L1i cache:                       1 MiB (32 instances)
L2 cache:                        16 MiB (32 instances)
L3 cache:                        128 MiB (8 instances)
NUMA node(s):                    1
NUMA node0 CPU(s):               0-63
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:          Mitigation; untrained return thunk; SMT enabled with STIBP protection
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, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Not affected

Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.24.1
[pip3] pytorch-triton==2.0.0+c8bfe3f548
[pip3] torch==2.0.0+cu117
[pip3] torchaudio==2.0.0+cu117
[pip3] torchvision==0.15.0+cu117
[conda] Could not collect

cc @ezyang @SherlockNoMad @soumith @EikanWang @jgong5 @wenzhe-nrv @msaroufim @wconstab @ngimel @bdhirsh