Refactor TRT EP error message with details (#17007)
If users use `trt_profile_min_shapes`, `trt_profile_max_shapes` and
`trt_profile_opt_shapes`, they need to provide all the dynamic shape
input with associated shape profiles.
In the case of the main graph is partitioned into TRT/CUDA subgraphs, if
the input of the subgraph is also dynamic shape, users need to provide
its shape profiles as well. User might not notice, so TRT EP will tell
them which input shape profiles need to be provided.
New warning message is :
```
Traceback (most recent call last):
File "/home/azureuser/disk2/debug/optional_inputs.py", line 218, in <module>
test_optional_input_dynamic(trt_profile=True, optional=True)
File "/home/azureuser/disk2/debug/optional_inputs.py", line 195, in test_optional_input_dynamic
session = ort.InferenceSession(
File "/home/azureuser/anaconda3/lib/python3.9/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line
419, in __init__
self._create_inference_session(providers, provider_options, disabled_optimizers)
File "/home/azureuser/anaconda3/lib/python3.9/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line
471, in _create_inference_session
sess.initialize_session(providers, provider_options, disabled_optimizers)
onnxruntime.capi.onnxruntime_pybind11_state.EPFail: [ONNXRuntimeError] : 11 : EP_FAIL : User needs to provide all the
dynamic shape inputs with associated profiles if they want to explicitly set profiles through provider options.
Please note that main graph could be partitioned into TRT/CUDA/CPU subgraphs, in this case, user also needs to provide
shape profiles for the TRT subgraph's input if it's dynamic shape input.
Following input(s) has no associated shape profiles provided: x1
```
Please see this github issue:
https://github.com/microsoft/onnxruntime/issues/16600
