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author | River Riddle <riverriddle@google.com> | 2019-12-23 14:45:01 -0800 |
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committer | A. Unique TensorFlower <gardener@tensorflow.org> | 2019-12-23 16:36:53 -0800 |
commit | e62a69561fb9d7b1013d2853da68d79a7907fead (patch) | |
tree | 0dd059094cbfb8d904513abcdc1fbe8cfa89bb09 /mlir/test/lib/Transforms | |
parent | 5d5bd2e1da29d976cb125dbb3cd097a5e42b2be4 (diff) | |
download | bcm5719-llvm-e62a69561fb9d7b1013d2853da68d79a7907fead.tar.gz bcm5719-llvm-e62a69561fb9d7b1013d2853da68d79a7907fead.zip |
NFC: Replace ValuePtr with Value and remove it now that Value is value-typed.
ValuePtr was a temporary typedef during the transition to a value-typed Value.
PiperOrigin-RevId: 286945714
Diffstat (limited to 'mlir/test/lib/Transforms')
-rw-r--r-- | mlir/test/lib/Transforms/TestLoopMapping.cpp | 2 | ||||
-rw-r--r-- | mlir/test/lib/Transforms/TestVectorizationUtils.cpp | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/mlir/test/lib/Transforms/TestLoopMapping.cpp b/mlir/test/lib/Transforms/TestLoopMapping.cpp index 5b1394d5996..86e5713eb03 100644 --- a/mlir/test/lib/Transforms/TestLoopMapping.cpp +++ b/mlir/test/lib/Transforms/TestLoopMapping.cpp @@ -32,7 +32,7 @@ public: // SSA values for the transformation are created out of thin air by // unregistered "new_processor_id_and_range" operations. This is enough to // emulate mapping conditions. - SmallVector<ValuePtr, 8> processorIds, numProcessors; + SmallVector<Value, 8> processorIds, numProcessors; func.walk([&processorIds, &numProcessors](Operation *op) { if (op->getName().getStringRef() != "new_processor_id_and_range") return; diff --git a/mlir/test/lib/Transforms/TestVectorizationUtils.cpp b/mlir/test/lib/Transforms/TestVectorizationUtils.cpp index e131f4803ef..6f4d948e55f 100644 --- a/mlir/test/lib/Transforms/TestVectorizationUtils.cpp +++ b/mlir/test/lib/Transforms/TestVectorizationUtils.cpp @@ -236,7 +236,7 @@ void VectorizerTestPass::testNormalizeMaps() { for (auto m : matches) { auto app = cast<AffineApplyOp>(m.getMatchedOperation()); OpBuilder b(m.getMatchedOperation()); - SmallVector<ValuePtr, 8> operands(app.getOperands()); + SmallVector<Value, 8> operands(app.getOperands()); makeComposedAffineApply(b, app.getLoc(), app.getAffineMap(), operands); } } |