[mlir] Use llvm::find (NFC) (llvm#139757)

Author: kazutakahirata

mlir/lib/Dialect/Affine/Transforms/RaiseMemrefDialect.cpp

@@ -48,7 +48,7 @@ static std::optional<size_t>
 findInListOrAdd(Value value, llvm::SmallVectorImpl<Value> &dims,
                 function_ref<bool(Value)> isValidElement) {
 
-  Value *loopIV = std::find(dims.begin(), dims.end(), value);
+  Value *loopIV = llvm::find(dims, value);
   if (loopIV != dims.end()) {
     // We found an IV that already has an index, return that index.
     return {std::distance(dims.begin(), loopIV)};

mlir/lib/Dialect/Linalg/Transforms/WinogradConv2D.cpp

@@ -960,7 +960,7 @@ winogradConv2DHelper(RewriterBase &rewriter, linalg::Conv2DNhwcFhwcOp convOp,
       F_2_3, F_4_3, F_2_5};
 
   TransformMapKeyTy key = {m, r};
-  auto it = std::find(validConfigs.begin(), validConfigs.end(), key);
+  auto it = llvm::find(validConfigs, key);
   // If we cannot find the constant transformation matrix, it means we do
   // not support this configuration yet.
   if (it == validConfigs.end())

mlir/lib/Dialect/Vector/Utils/VectorUtils.cpp

@@ -291,8 +291,7 @@ vector::createUnrollIterator(VectorType vType, int64_t targetRank) {
   // cannot be unrolled).
   auto shapeToUnroll = vType.getShape().drop_back(targetRank);
   auto scalableDimsToUnroll = vType.getScalableDims().drop_back(targetRank);
-  auto it =
-      std::find(scalableDimsToUnroll.begin(), scalableDimsToUnroll.end(), true);
+  auto it = llvm::find(scalableDimsToUnroll, true);
   auto firstScalableDim = it - scalableDimsToUnroll.begin();
   if (firstScalableDim == 0)
     return {};

mlir/test/lib/Dialect/Linalg/TestLinalgFusionTransforms.cpp

@@ -47,8 +47,7 @@ static LogicalResult fuseLinalgOpsGreedily(func::FuncOp f) {
         if (failed(info))
           continue;
         auto *originalOp = info->originalProducer.getOperation();
-        auto *originalOpInLinalgOpsVector =
-            std::find(linalgOps.begin(), linalgOps.end(), originalOp);
+        auto *originalOpInLinalgOpsVector = llvm::find(linalgOps, originalOp);
         *originalOpInLinalgOpsVector = info->fusedProducer;
         // Don't mark for erasure in the tensor case, let DCE handle this.
         changed = true;