| commit | 2ad042991c032bf38ea96b34814d44816fc7f78b | [log] [tgz] |
|---|---|---|
| author | Uday Bondhugula <udayb@iisc.ac.in> | Thu Sep 05 23:12:01 2019 -0700 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Thu Sep 05 23:32:24 2019 -0700 |
| tree | d89daeb2981e7b1096e49547287305ef21e67278 | |
| parent | cf27972e28836f626695c76fb613b54ef9590551 [diff] |
Integer set + operands / affine if op canonicalization - turn canonicalizeMapAndOperands into a template that works on both sets and maps, and use it to introduce a utility to canonicalize an affine integer set and its operands - add pattern to canonicalize affine if op's. - rename IntegerSet::getNumOperands -> IntegerSet::getNumInputs to be consistent with AffineMap - add missing accessors for IntegerSet Doesn't need extensive testing since canonicalizeSetAndOperands just reuses canonicalizeMapAndOperands' logic, and the latter is tested on affine.apply map + operands; the new method works the same way on an integer set + operands of an affine if op for example. Signed-off-by: Uday Bondhugula <uday@polymagelabs.com> Closes #112 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/112 from bondhugula:set-canonicalize eff72f23250b96fa7d9f5caff3877440f5de2cec PiperOrigin-RevId: 267532876
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TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
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