Support segformer fx
Author: dwlim-nota
Pull request: yes

# What does this PR do?

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I wrote simple test code to use fx in the Segformer model.
But failed.

```python
import torch
from transformers import SegformerModel, SegformerConfig, SegformerFeatureExtractor
from transformers.utils.fx import symbolic_trace
from datasets import load_dataset

dataset = load_dataset("huggingface/cats-image")
image = dataset["test"]["image"][0]

feature_extractor = SegformerFeatureExtractor.from_pretrained("nvidia/mit-b0")
model = SegformerModel.from_pretrained("nvidia/mit-b0")

inputs = feature_extractor(image, return_tensors="pt")

traced_model = symbolic_trace(model, ["pixel_values"])

with torch.no_grad():
    outputs = model(**inputs)
    traced_outputs = traced_model(**inputs)

assert torch.allclose(outputs.last_hidden_state, traced_outputs["last_hidden_state"])
```

when I tried to apply fx to Segformer model, HFTracer class could not pass transpose_for_scores function
![image](https://user-images.githubusercontent.com/61265665/198202901-96df6d02-9eaa-4883-9ead-06811a1d3f66.png)

![image](https://user-images.githubusercontent.com/61265665/198202445-4e41a637-ccaa-4443-bbf0-687fc3ae72ac.png)
because Proxy(Torch.Size ) is not iterable object.

so, simply fixed as belows.
![image](https://user-images.githubusercontent.com/61265665/198202946-11dcf6f4-6bb8-4a42-84d3-eb18c1799762.png)

also there was same case in the forward function.
![image](https://user-images.githubusercontent.com/61265665/198203081-1b9d00bc-3115-464b-89c2-d0286edbf4af.png)

to overcome `check_if_model_is_supported`, added segformer to 
![image](https://user-images.githubusercontent.com/61265665/198203886-6ddab9b5-43aa-4fca-adb5-0f6c12fb3d7c.png)

![image](https://user-images.githubusercontent.com/61265665/198203559-b7e1f1d1-a81e-43a8-88af-74af94414bfb.png)


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@NielsRogge @michaelbenayoun 

Comments:
_The documentation is not available anymore as the PR was closed or merged._

Thank you @michaelbenayoun :)
I missed `fx_compatible = True` attribute.
Updated it!

also, I checked that glpn model was copied from segformer.
to overcome consistency test, updated glpn code too.