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torch-mlir
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stephenneuendorffer 2021-01-26 09:52:46 -08:00 committed by GitHub
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@ -27,8 +27,8 @@ The compiler is separated into:
* [Frontend importer](python/npcomp/compiler/frontend.py): Translates from * [Frontend importer](python/npcomp/compiler/frontend.py): Translates from
various AST levels to corresponding MLIR dialects. various AST levels to corresponding MLIR dialects.
* Frontend compiler: MLIR passes and conversions, mostly operating on the * Frontend compiler: MLIR passes and conversions, mostly operating on the
[basicpy](include/Dialect/Basicpy/IR/BasicpyOps.td) and [basicpy](include/npcomp/Dialect/Basicpy/IR/BasicpyOps.td) and
[numpy](include/Dialect/Numpy/IR/NumpyOps.td) dialects. [numpy](include/npcomp/Dialect/Numpy/IR/NumpyOps.td) dialects.
* Backend compiler and runtime: Some effort has been taken to make this * Backend compiler and runtime: Some effort has been taken to make this
pluggable, but right now, only the [IREE Backend](python/npcomp/compiler/backend/iree.py) pluggable, but right now, only the [IREE Backend](python/npcomp/compiler/backend/iree.py)
exists. There is in-tree work to also build a minimal reference backend exists. There is in-tree work to also build a minimal reference backend