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Create MLIR functions for ONNX operators that are functions #3409

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Jun 14, 2024
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Create MLIR functions for ONNX operators that are functions #3409

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5 changes: 4 additions & 1 deletion projects/pt1/python/torch_mlir_e2e_test/configs/onnx_backend.py
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Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,10 @@ def _module_lowering(
# Lower from ONNX to Torch
run_pipeline_with_repro_report(
torch_mod,
f"builtin.module(func.func({ONNX_TO_TORCH_FUNC_PIPELINE}))",
# The importer may produce additional MLIR functions corresponding to
# ONNX operators that are functions. In some cases they need to be
# inlined to avoid the backend choking on them.
f"builtin.module(inline, func.func({ONNX_TO_TORCH_FUNC_PIPELINE}))",
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"Lowering Onnx backend contract to Linalg-on-Tensors backend contract",
)

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