Temporarily fix ONNX model exporting error
…issues/143

# What does this PR do?
Fix the following error while trying to export ONNX model
**TypeError: '<=' not supported between instances of 'tuple' and 'Tensor'**
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Fixes # (issue)


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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
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_The documentation is not available anymore as the PR was closed or merged._<|||||>cc @amyeroberts <|||||>Thanks for opening this PR @SatyaJandhyalaAtMS ! 

Could you share a link to the issue this resolves? I'm getting a 404 error for the link in the commit / PR title: https://github.com/microsoft/onnx-converters-private/issues/143<|||||>The python code to reproduce the error is:
```
import onnxruntime as ort
from transformers import AutoImageProcessor, AutoModelForImageClassification
from PIL import Image
import requests
import numpy as np
import torch.onnx

url = "http://images.cocodataset.org/val2017/000000039769.jpg"
image = Image.open(requests.get(url, stream=True).raw)
processor = AutoImageProcessor.from_pretrained("microsoft/swinv2-tiny-patch4-window8-256")
model = AutoModelForImageClassification.from_pretrained("microsoft/swinv2-tiny-patch4-window8-256")
inputs = processor(images=image, return_tensors="pt")
outputs = model(**inputs)
logits = outputs.logits
# model predicts one of the 1000 ImageNet classes
predicted_class_idx = logits.argmax(-1).item()
options = ort.SessionOptions()
# options.log_severity_level = 0
torch.onnx.export(model, inputs['pixel_values'],"swinv2.onnx", export_params=True, opset_version=11, do_constant_folding=True, input_names=["input"], output_names=["output"])
ort_sess = ort.InferenceSession("swinv2.onnx", providers=["CUDAExecutionProvider"], sess_options=options)
ort_outputs=ort_sess.run(None, {"input":inputs['pixel_values'].numpy()})
ort_prediction=int(np.argmax(np.array(ort_outputs[0]).squeeze(), axis=0))
if ort_prediction == predicted_class_idx:
    print("Test passed")
else:
    print("Test failed")
```
The error is as follows:

Traceback (most recent call last):
  File "test_with_ort.py", line 19, in <module>
    torch.onnx.export(model, inputs['pixel_values'],"swinv2.onnx", export_params=True, opset_version=11, do_constant_folding=True, input_names=["input"], output_names=["output"])
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/onnx/utils.py", line 504, in export
    _export(
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/onnx/utils.py", line 1529, in _export
    graph, params_dict, torch_out = _model_to_graph(
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/onnx/utils.py", line 1111, in _model_to_graph
    graph, params, torch_out, module = _create_jit_graph(model, args)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/onnx/utils.py", line 987, in _create_jit_graph
    graph, torch_out = _trace_and_get_graph_from_model(model, args)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/onnx/utils.py", line 891, in _trace_and_get_graph_from_model
    trace_graph, torch_out, inputs_states = torch.jit._get_trace_graph(
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/jit/_trace.py", line 1184, in _get_trace_graph
    outs = ONNXTracedModule(f, strict, _force_outplace, return_inputs, _return_inputs_states)(*args, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/jit/_trace.py", line 127, in forward
    graph, out = torch._C._create_graph_by_tracing(
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/jit/_trace.py", line 118, in wrapper
    outs.append(self.inner(*trace_inputs))
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1182, in _slow_forward
    result = self.forward(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/transformers/models/swinv2/modeling_swinv2.py", line 1274, in forward
    outputs = self.swinv2(
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1182, in _slow_forward
    result = self.forward(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/transformers/models/swinv2/modeling_swinv2.py", line 1078, in forward
    encoder_outputs = self.encoder(
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1182, in _slow_forward
    result = self.forward(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/transformers/models/swinv2/modeling_swinv2.py", line 907, in forward
    layer_outputs = layer_module(
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1182, in _slow_forward
    result = self.forward(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/transformers/models/swinv2/modeling_swinv2.py", line 821, in forward
    layer_outputs = layer_module(
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1182, in _slow_forward
    result = self.forward(*input, **kwargs)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/transformers/models/swinv2/modeling_swinv2.py", line 723, in forward
    self.set_shift_and_window_size(input_dimensions)
  File "/home/sajandhy/miniconda3/envs/py38/lib/python3.8/site-packages/transformers/models/swinv2/modeling_swinv2.py", line 670, in set_shift_and_window_size
    if input_resolution
**TypeError: '<=' not supported between instances of 'tuple' and 'Tensor'**<|||||>My Python environment is 
onnxruntime              1.14.1
torch                    1.13.1+cu116
torchaudio               0.13.1+cu116
torchvision              0.14.1+cu116
transformers             4.26.1
My platform is
Ubuntu 22.04<|||||>Thanks for updating @SatyaJandhyalaAtMS ! 

The tests are currently failing on the code quality checks. As the lines of code that have been modified are in a class with a `# Copied from` header, the original code source the comment points to will need to be updated i.e. the equivalent line in `transformers.models.swin.modeling_swin.SwinOutput`. 

Then run `make fix-copies` to propogate the change across the repo. 

To get the other styling tests pass, run `make style` to have the code formatted in the expected style

