[PyTorch Edge][tracing-based] Unify tracer between internal and external (#64152)
Summary:
As title, introduce the file `TracerRunner` shared by internal/external tracer and the main function is
```
TracerResult trace_run(const std::string& input_module_path);
```
which basically takes the path to model file and generate the trace result. The main difference between external tracer and internal tracer is
1. the dependency on `<yaml-cpp/yaml.h>`.
2. the output yaml file from internal tracer includes `model_version` and `model_asset`. These are only needed for internal.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/64152
ghstack-source-id: 140692467
Test Plan:
```
./build/bin/model_tracer --model_input_path "/Users/chenlai/Documents/pytorch/tracing/deeplabv3_scripted_with_bundled_input.ptl" --build_yaml_path "/Users/chenlai/Documents/pytorch/tracing/tmp.yaml"
```
```
./fbcode/caffe2/fb/model_tracer/run_model_with_bundled_inputs.sh ~/local/notebooks/prod_models/deeplabv3_scripted_with_bundled_input.ptl
```
have the same operator output
selected_operators.yaml (P460296279)
selected_mobile_ops.h (P460296258)
Reviewed By: dhruvbird
Differential Revision: D30632224
fbshipit-source-id: eb0321dbc0f1fcf6d2e05384695eebb59ac04f8c
