Chris Lattner 967d934180 Fix two issues: ... 1) We incorrectly reassociated non-reassociative operations like subi, causing miscompilations. 2) When constant folding, we didn't add users of the new constant back to the worklist for reprocessing, causing us to miss some cases (pointed out by Uday). The code for tensorflow/mlir#2 is gross, but I'll add the new APIs in a followup patch. PiperOrigin-RevId: 218803984		2019-03-29 13:40:35 -07:00
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canonicalize.mlir	Fix two issues:	2019-03-29 13:40:35 -07:00
compose-affine-maps.mlir	Adds method to AffineApplyOp which forward substitutes its results into any of its users which are also AffineApplyOps.	2019-03-29 13:30:49 -07:00
constant-fold.mlir	Rename affineint type to index type. The name 'index' may not be perfect, but is better than the old name. Here is some justification:	2019-03-29 13:24:16 -07:00
convert2cfg.mlir	Implement support for constant folding operations and a simple constant folding	2019-03-29 13:16:33 -07:00
pipeline-data-transfer.mlir	Generalize / improve DMA transfer overlap; nested and multiple DMA support; resolve	2019-03-29 13:32:28 -07:00
simplify.mlir	Change sigil for integer set: @@ -> #	2019-03-29 13:40:21 -07:00
unroll-jam.mlir	Rename affineint type to index type. The name 'index' may not be perfect, but is better than the old name. Here is some justification:	2019-03-29 13:24:16 -07:00
unroll.mlir	Rename affineint type to index type. The name 'index' may not be perfect, but is better than the old name. Here is some justification:	2019-03-29 13:24:16 -07:00
vectorize.mlir	[MLIR] Basic infrastructure for vectorization test	2019-03-29 13:32:13 -07:00