Commit Graph

517 Commits (ccf924d3df2061c707f1a758e5f8c5682d15aa5d)

Author SHA1 Message Date
Sean Silva eaeb4011e6 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.
2020-05-13 17:20:23 -07:00
Sean Silva ef25428fe3 Add lowering from linalg to loops.
This also adds a small pass to clean up the `dim` ops that linalg
introduces. For now, it only has a trivial pattern that looks for a
`tcp.alloc_memref(%shape)` op to get the shape as we currently have an
invariant that all memrefs are the result of such ops.

But eventually this will need to look through view ops and any other
shape-ish stuff that linalg introduces as it lowers to loops, along with
any slicing ops introduced by buffer allocation.
2020-05-11 18:54:52 -07:00
Sean Silva 174ab19c5f Add some cleanup passes.
This makes the IR more presentable before going to the next phase of
lowering (ops on memref/buffers -> LLVM ops).
2020-05-11 15:28:21 -07:00
Sean Silva 83db558db9 Update llvm-project to 310d32cb80a611e6384a921e85607fea05841f26 2020-05-11 15:12:47 -07:00
Sean Silva 53c17dbed9 "Finish" tensor -> memref conversion.
There's a lot of details to flesh out here, but the basic approach seems
promising (see comments in createE2ELoweringPipeline).

This approach will be put to the test when we try to do our first
fusions since that tickles some of the nasty phase ordering issues
involved here.

But we're not there yet.
2020-05-11 15:00:12 -07:00
Sean Silva fec2ee0072 Avoid introducing DimOp's in LowerBroadcastToToLoops.
This makes sure we stay resonably canonically using the shape machinery.
(In fact, DimOp should probably be in the shape dialect since it hides a
`shape.shape_of` call)
2020-05-11 13:12:16 -07:00
Stella Laurenzo 950ba12426 Bump llvm-project to 3af85fa8f06220b43f03f26de216a67be4568fe7. 2020-05-08 20:42:40 -07:00
Sean Silva e29aef855b 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)
2020-05-08 20:20:41 -07:00
Stella Laurenzo a91b0bfbe1 Add numpy.get_slice op and wire it up to the tracer. 2020-05-08 16:04:58 -07:00
Stella Laurenzo bc5ef81d68 Add basicpy.SlotObject type and ops to create/index into it.
* This is intended to provide low-level modeling for built-in objects.
* It is now possible to trace slice tuples (which are tuples of NoneType|EllipsisType|SlotObjectType<slice, ...>).
2020-05-05 18:16:01 -07:00
Stella Laurenzo 502ef8f195 Create skeleton for 'Basicpy' dialect.
* It is time to start adding more python mechanisms.
* Running into this for materializing slice() objects.
2020-05-04 17:48:02 -07:00
Stella Laurenzo d3632af675 Add !numpy.any_dtype dialect type. 2020-04-29 18:20:42 -07:00
Stella Laurenzo c4a192d5c9 Rename from npcomp::NUMPY to NPCOMP::numpy to follow IREE convention. 2020-04-29 17:10:10 -07:00
Stella Laurenzo e845db8a20 Add builtin_ufunc and generic_ufunc ops. 2020-04-28 23:51:54 -07:00
Stella Laurenzo 953ef89a30 Add npcomp-opt and lit runner. 2020-04-26 17:55:15 -07:00
Stella Laurenzo d3b6e1767a Add stub numpy dialect. 2020-04-26 17:20:58 -07:00
Stella Laurenzo 9ee2f6ff7f Initial commit of python boiler-plate. 2020-04-26 15:50:23 -07:00