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torch-mlir/lib/Dialect/ATen/CMakeLists.txt

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Add ATen Dialect (#16) This patch adds a dialect intended to be used as a frontend dialect to facilitate lowering from "A Tensor Library" in torch/pytorch. This patch includes several passes that are useful in conjuction with the dialect: --aten-layer-name: Generates layer names for each operation, which are not present in the original pytorch. --aten-to-std: Lower the ATen dialect into standard dialect function calls. --return-elimination-pass: convert functions (primarily the toplevel function) to pass return values by reference. This simplifies pytorch integration. --aten-op-report: generate a textual report about the model --liveness-report Future patches will implement actual integration with the pytorch jit to intercept and generates MLIR in this dialect, then lower the resulting MLIR into function calls through aten-layer-name -> aten-to-std -> return-elimination -> std-to-llvm. The result would then jitted using the LLVM jit, linked against a runtime library which makes calls back into pytorch to implement all the layers. Co-authored-by: Jeff Fifield <jeff.fifield@xilinx.com> Co-authored-by: Jeff Fifield <jeff.fifield@xilinx.com>
2020-08-13 10:28:04 +08:00
add_mlir_dialect_library(NPCOMPATenDialect
ATenDialect.cpp
ATenDialectOpStats.cpp
ATenPasses.cpp
ATenLayerNamePass.cpp
ATenLoweringPass.cpp
ATenOpReport.cpp
ATenToStd.cpp
LivenessReport.cpp
ReturnEliminationPass.cpp
ADDITIONAL_HEADER_DIRS
${PROJECT_SOURCE_DIR}/dialect/include
${PROJECT_BINARY_DIR}/dialect/include
DEPENDS
MLIRATenIncGen
MLIRATenEnumsIncGen
MLIRATenOpInterfacesIncGen
MLIRATenToStdIncGen
LINK_LIBS PUBLIC
MLIRPass
MLIRTransformUtils
)