ValueError: as_list() is not defined on an unknown TensorShape

[dirkdevries96]

Describe the bug

handlers\backend\resize.py doesn't work handle tensors with unknown shapes well.
The fix in #1017 does not seem to be applicable here.

This is the error that I get:

ValueError: in user code:

    File "c:\users\dirk\extrepos\onnx-tensorflow\onnx_tf\backend_tf_module.py", line 99, in __call__  *
        output_ops = self.backend._onnx_node_to_tensorflow_op(onnx_node,
    File "c:\users\dirk\extrepos\onnx-tensorflow\onnx_tf\backend.py", line 347, in _onnx_node_to_tensorflow_op  *
        return handler.handle(node, tensor_dict=tensor_dict, strict=strict)
    File "c:\users\dirk\extrepos\onnx-tensorflow\onnx_tf\handlers\handler.py", line 58, in handle  *
        cls.args_check(node, **kwargs)
    File "c:\users\dirk\extrepos\onnx-tensorflow\onnx_tf\handlers\backend\resize.py", line 68, in args_check  *
        x_shape = x.get_shape().as_list()

    ValueError: as_list() is not defined on an unknown TensorShape.

To Reproduce
Run this code with

import onnx
from onnx_tf.backend import prepare

onnx_model = onnx.load("model.onnx")
tf_rep = prepare(onnx_model)

tf_rep.export_graph("model.pb")

Onnx model:
https://drive.google.com/file/d/1Tnl6X0k0IuWgJWNkx8AyqsDZH7pSF_1E/view?usp=sharing

Python, ONNX, ONNX-TF, Tensorflow version

• Python version: 3.10.11
• ONNX version: 1.14.1
• ONNX-TF version: 1.10.0
• Tensorflow version: 2.13.9

Additional context

The model is taken straight from:
torchvision.models.detection.faster_rcnn.fasterrcnn_resnet50_fpn