# Developer Tools Examples This directory contains examples of BundledProgram and ETDump generation. ## Directory structure ```bash examples/devtools ├── scripts # Python scripts to illustrate export workflow of bundled program. ├── executor_runner # Contains an example for both BundledProgram to verify ExecuTorch model, and generate ETDump for runtime results. ├── CMakeLists.txt # Example CMakeLists.txt for building executor_runner with Developer Tools support. ├── build_example_runner.sh # A convenient shell script to build the example_runner. ├── test_example_runner.sh # A convenient shell script to run the example_runner. └── README.md # Current file ``` ## BundledProgram We will use an example model (in `torch.nn.Module`) and its representative inputs, both from [`models/`](../models) directory, to generate a [BundledProgram(`.bpte`)](../../docs/source/bundled-io.md) file using the [script](scripts/export_bundled_program.py). Then we will use [devtools/example_runner](example_runner/example_runner.cpp) to execute the `.bpte` model on the ExecuTorch runtime and verify the model on BundledProgram API. 1. Sets up the basic development environment for ExecuTorch by [Setting up ExecuTorch from GitHub](https://pytorch.org/executorch/stable/getting-started-setup). 2. Using the [script](scripts/export_bundled_program.py) to generate a BundledProgram binary file by retreiving a `torch.nn.Module` model and its representative inputs from the list of available models in the [`models/`](../models) dir. ```bash cd executorch # To the top level dir # To get a list of example models python3 -m examples.devtools.scripts.export_bundled_program -h # To generate a specific `.bpte` model python3 -m examples.devtools.scripts.export_bundled_program -m mv2 # for MobileNetv2 # This should generate ./mv2_bundled.bpte file, if successful. ``` 3. Once we have the BundledProgram binary (`.bpte`) file, then let's run and verify it with ExecuTorch runtime and BundledProgram APIs using the [devtools/example_runner](example_runner/example_runner.cpp). ```bash cd executorch ./examples/devtools/build_example_runner.sh ./cmake-out/examples/devtools/example_runner --bundled_program_path mv2_bundled.bpte --output_verification ``` ## ETDump ### Getting Started After exporting a `BundledProgram`, runtime profiling and debug data can be collected in an ``ETDump``. An ``ETDump`` is a buffer containing data generated by hooks within the ExecuTorch runtime. We offer an example runner that accepts a `BundledProgram` (`.bpte`) and runs a single iteration over the first method defined. Running the program will generate an `ETDump` file (`.etdp`) at the location specified by `--etdump_path`. ```bash ./cmake-out/examples/devtools/example_runner --bundled_program_path mv2_bundled.bpte --etdump_path mv2_etdump.etdp ``` ### Parsing ETDump Once an `ETDump` has been generated, it can be viewed using the CLI inspector. This will print a tabular view of the data recorded in the ETDump. ```bash python3 -m devtools.inspector.inspector_cli --etdump_path mv2_etdump.etdp ``` ### ETDump C++ API ETDump profiling can also be used in a custom C++ program. `ETDumpGen` is an implementation of the abstract `EventTracer` class. Include the header file located at `devtools/etdump/etdump_flatcc.h`. To initialize the ETDump generator, construct it before loading the method from the program. ```cpp executorch::etdump::ETDumpGen etdump_gen; Result method = program->load_method(method_name, &memory_manager, &etdump_gen); ``` Since the `EventTracer` hooks are embedded within the runtime, profiling and debug data will be automatically recorded. Once execution has completed, finalize the ETDump buffer. This returns an `etdump_result`, a struct with the finalized buffer and its size. ```cpp etdump_result result = etdump_gen.get_etdump_data(); if (result.buf != nullptr && result.size > 0) { FILE* f = fopen(FLAGS_etdump_path.c_str(), "w+"); fwrite((uint8_t*)result.buf, 1, result.size, f); fclose(f); free(result.buf); } ```