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torch-mlir/lib/E2E/CMakeLists.txt

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Initial TCF/TCP E2E seed. Very much WIP. This is enough to get tcf.add down to approximately the "linalg.generic on buffers" level of abstraction. (but there are nuances)
2020-05-07 09:41:54 +08:00
add_mlir_library(NPCOMPE2E
E2E.cpp
Lower !shape.shape to SSA values. This uses an approach inspired by what is done in IREE. See comments on LowerRankedShapes.cpp for how it works. The basic gist is that we have an op that creates a !shape.shape from a set of SSA values representing the extents, and then iteratively replace any op producing a !shape.shape with instances of that op.
2020-05-12 12:22:40 +08:00
LowerRankedShapes.cpp
Initial TCF/TCP E2E seed. Very much WIP. This is enough to get tcf.add down to approximately the "linalg.generic on buffers" level of abstraction. (but there are nuances)
2020-05-07 09:41:54 +08:00
LowerToHybridTensorMemRef.cpp
Lower to the upstream memref ABI. Specifically, we use unranked memrefs which get passed as a fixed-size set of arguments/returns. One big caveat about this is that returning results isn't going to work. See TODO in LowerTensorLoadOp. This is far from enough runtime-wise, but it starts to demarcate a plausible layering. Notice for example how this removes the runtime-dependence from LowerRankedShapes. Eventually, we want to have an `npcomp_rt` or `npcomp_hal` dialect with its own set of runtime types that will supercede this. See comments in LowerTensorLoadOp for more direction about where this is going to evolve.
2020-05-16 07:33:01 +08:00
LowerToMemRefABI.cpp
Initial TCF/TCP E2E seed. Very much WIP. This is enough to get tcf.add down to approximately the "linalg.generic on buffers" level of abstraction. (but there are nuances)
2020-05-07 09:41:54 +08:00
ADDITIONAL_HEADER_DIRS
${PROJECT_SRC_DIR}/include/npcomp/E2E
DEPENDS
NPCOMPE2EPassIncGen
MLIRLinalgOps
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRLinalgOps
Lower !shape.shape to SSA values. This uses an approach inspired by what is done in IREE. See comments on LowerRankedShapes.cpp for how it works. The basic gist is that we have an op that creates a !shape.shape from a set of SSA values representing the extents, and then iteratively replace any op producing a !shape.shape with instances of that op.
2020-05-12 12:22:40 +08:00
MLIRStandardOps
Initial TCF/TCP E2E seed. Very much WIP. This is enough to get tcf.add down to approximately the "linalg.generic on buffers" level of abstraction. (but there are nuances)
2020-05-07 09:41:54 +08:00
)