CI/CD testing false positives on certain benchit example failures

[jeremyfowers]

The way that CI/CD evaluates the benchit examples is simply by running

benchit example_namy.py --example-options

However, benchit captures many exceptions at runtime and then exits "successfully". None of our examples should throw an exception, so if it happens then we'll get a false positive on the test.

Example: On a system that doesn't have docker installed, benchit examples/cli/scripts/hello_world.py will output the following, which is a false positive:

Models discovered during profiling:
hello_world.py:
        pytorch_model (executed 1x)
                Model Type:     Pytorch (torch.nn.Module)
                Class:          SmallModel (<class 'hello_world.SmallModel'>)
                Location:       /build/source/examples/script_api/scripts/hello_world.py, line 32
                Parameters:     50 (<0.1 MB)
                Hash:           a6d4aa6b
                Status:         Unknown benchit error: Docker installation not found. Please install Docker>=20.10
                Traceback (most recent call last):
                  File "/nix/store/l7db9chq17nhpbpk1mz2a9wihaani9zk-python3.10-mlagility-3.0.2/lib/python3.10/site-packages/mlagility/analysis/analysis.py", line 122, in call_benchit
                    perf = benchmark_model(
                  File "/nix/store/l7db9chq17nhpbpk1mz2a9wihaani9zk-python3.10-mlagility-3.0.2/lib/python3.10/site-packages/mlagility/api/model_api.py", line 164, in benchmark_model
                    perf = cpu_model.benchmark(backend=backend)
                  File "/nix/store/l7db9chq17nhpbpk1mz2a9wihaani9zk-python3.10-mlagility-3.0.2/lib/python3.10/site-packages/mlagility/api/ortmodel.py", line 20, in benchmark
                    benchmark_results = self._execute(repetitions=repetitions, backend=backend)
                  File "/nix/store/l7db9chq17nhpbpk1mz2a9wihaani9zk-python3.10-mlagility-3.0.2/lib/python3.10/site-packages/mlagility/api/ortmodel.py", line 75, in _execute
                    devices.execute_ort_locally(
                  File "/nix/store/l7db9chq17nhpbpk1mz2a9wihaani9zk-python3.10-mlagility-3.0.2/lib/python3.10/site-packages/mlagility/api/devices.py", line 609, in execute_ort_locally
                    raise ValueError("Docker installation not found. Please install Docker>=20.10")
                ValueError: Docker installation not found. Please install Docker>=20.10
pytorch_outputs: tensor([ 0.0452, -0.2537, -0.1148,  0.2036,  0.1839], grad_fn=<AddBackward0>)
Woohoo! The 'benchmark' command is complete.
...

Suggested solution: disable capturing exceptions when testing examples.

Setting priority to P2 since this hasn't caused us major headaches yet.

cc @danielholanda @ramkrishna2910