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Add note about MLIR compiled outputs in dev docs #1195

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Aug 10, 2022
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Add note about MLIR compiled outputs in dev docs #1195

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22 changes: 22 additions & 0 deletions development.md
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Expand Up @@ -120,6 +120,28 @@ cmake --build build
export PYTHONPATH=`pwd`/build/tools/torch-mlir/python_packages/torch_mlir:`pwd`/examples
```

## Testing MLIR output in various dialects

To test the compiler's output to the different MLIR dialects, you can use the example `examples/torchscript_resnet18_all_output_types.py`.

Make sure you have activated the virtualenv and set the `PYTHONPATH` above:
```shell
source mlir_venv/bin/activate
export PYTHONPATH=`pwd`/build/tools/torch-mlir/python_packages/torch_mlir:`pwd`/examples
python examples/torchscript_resnet18_all_output_types.py
```

This will display the Resnet18 network example in three dialects: TORCH, LINALG on TENSORS and TOSA.

The main functionality is on `torch_mlir.compile()`'s `output_type`.

Ex:
```python
module = torch_mlir.compile(resnet18, torch.ones(1, 3, 224, 224), output_type="torch")
```

Currently, `output_type` can be: `TORCH`, `TOSA`, `LINALG_ON_TENSORS`, `RAW` and `MHLO`.

## Jupyter

Jupyter notebook:
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