[Mlir-commits] [mlir] [mlir][sparse] fix unused variable warning on release build (PR #68824)

[Peiming Liu]

https://github.com/PeimingLiu created https://github.com/llvm/llvm-project/pull/68824

None

>From 77ec836420db438b5fe4e9aa9de78cb6fabb0e8a Mon Sep 17 00:00:00 2001
From: Peiming Liu <peiming at google.com>
Date: Wed, 11 Oct 2023 17:30:46 +0000
Subject: [PATCH] [mlir][sparse] fix unused variable warning on release build

---
 .../lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp | 2 ++
 .../Dialect/SparseTensor/Transforms/StageSparseOperations.cpp   | 2 ++
 2 files changed, 4 insertions(+)

diff --git a/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp b/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp
index fdecfe303d31351..78f5562b392a682 100644
--- a/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp
+++ b/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp
@@ -710,6 +710,8 @@ struct SparseSortCOOConverter : public OpConversionPattern<ConvertOp> {
 
     // Otherwise we need another data shuffle and a non-identity map.
     assert(dstStt.hasSameDimToLvl(srcStt));
+    (void)dstStt; // to silence warning when assertion is disabled
+
     auto id = AffineMap::getMultiDimIdentityMap(srcStt.getLvlRank(), ctx);
 
     rewriter.create<SortOp>(loc, nnz, crd, ValueRange{val}, id,
diff --git a/mlir/lib/Dialect/SparseTensor/Transforms/StageSparseOperations.cpp b/mlir/lib/Dialect/SparseTensor/Transforms/StageSparseOperations.cpp
index 60ac71de4dd71ca..4ab4b05a7a420c7 100644
--- a/mlir/lib/Dialect/SparseTensor/Transforms/StageSparseOperations.cpp
+++ b/mlir/lib/Dialect/SparseTensor/Transforms/StageSparseOperations.cpp
@@ -36,6 +36,8 @@ struct StageUnorderedConvert : public OpRewritePattern<ConvertOp> {
     // source -> coo
     // The tmp COO must be unordered, otherwise it is a direct conversion.
     assert(!(srcStt.hasSameDimToLvl(dstStt) && srcStt.isAllOrdered()));
+    (void)srcStt; // to silence warning when assertion is disabled
+
     Type srcCOOTp = getCOOFromTypeWithOrdering(
         dstStt.getRankedTensorType(), dstStt.getDimToLvl(), /*ordered=*/false);
     Value srcCOO = rewriter.create<ConvertOp>(loc, srcCOOTp, op.getSource());