diff --git a/mlir/include/mlir/Dialect/Linalg/IR/LinalgInterfaces.td b/mlir/include/mlir/Dialect/Linalg/IR/LinalgInterfaces.td
--- a/mlir/include/mlir/Dialect/Linalg/IR/LinalgInterfaces.td
+++ b/mlir/include/mlir/Dialect/Linalg/IR/LinalgInterfaces.td
@@ -999,10 +999,9 @@
       /*desc=*/[{
         Returns the statically-known loop ranges. Composes
         `getShapesToLoopsMap()` with the result of `getStaticShape`.
-        Returns None if `getShapesToLoopsMap()` fails. Returns
-        ShapeType::kDynamicSize for non-statically-known loop ranges.
+        Returns ShapeType::kDynamicSize for non-statically-known loop ranges.
       }],
-      /*retTy=*/"Optional<SmallVector<int64_t, 4>>",
+      /*retTy=*/"SmallVector<int64_t, 4>",
       /*methodName=*/"getStaticLoopRanges",
       /*args=*/(ins),
       /*methodBody=*/"",
diff --git a/mlir/lib/Dialect/Linalg/IR/LinalgInterfaces.cpp b/mlir/lib/Dialect/Linalg/IR/LinalgInterfaces.cpp
--- a/mlir/lib/Dialect/Linalg/IR/LinalgInterfaces.cpp
+++ b/mlir/lib/Dialect/Linalg/IR/LinalgInterfaces.cpp
@@ -732,23 +732,20 @@
   }
 
   // Check if given shapes match to inferred shapes.
-  Optional<SmallVector<int64_t, 4>> endLoopRangeValues =
-      linalgOp.getStaticLoopRanges();
-  if (!endLoopRangeValues)
-    return op->emitOpError("unable to find loop range for operation");
-  SmallVector<int64_t, 4> startLoopRangeValues((*endLoopRangeValues).size(), 0);
+  SmallVector<int64_t, 4> endLoopRangeValues = linalgOp.getStaticLoopRanges();
+  SmallVector<int64_t, 4> startLoopRangeValues(endLoopRangeValues.size(), 0);
 
   // Verify only static cases since we can't get exact dimension sizes and loop
   // ranges for dynamic cases in this stage.
-  if (llvm::none_of(*endLoopRangeValues, ShapedType::isDynamic)) {
-    for (int64_t &range : *endLoopRangeValues)
+  if (llvm::none_of(endLoopRangeValues, ShapedType::isDynamic)) {
+    for (int64_t &range : endLoopRangeValues)
       range -= 1;
     for (OpOperand *opOperand : linalgOp.getInputAndOutputOperands()) {
       AffineMap indexingMap = linalgOp.getTiedIndexingMap(opOperand);
       SmallVector<int64_t, 4> startIndices =
           indexingMap.compose(startLoopRangeValues);
       SmallVector<int64_t, 4> endIndices =
-          indexingMap.compose(*endLoopRangeValues);
+          indexingMap.compose(endLoopRangeValues);
       ArrayRef<int64_t> shape = linalgOp.getShape(opOperand);
       for (auto dim : llvm::seq<int64_t>(0, shape.size())) {
         // Ignore dynamic dimension or the case that the dimension size is 0
diff --git a/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp b/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
@@ -518,12 +518,8 @@
     return failure();
   AffineMap fusedIndexMap = linalgOp.getTiedIndexingMap(fusableOpOperand);
 
-  Optional<SmallVector<int64_t, 4>> originalLoopRange =
-      linalgOp.getStaticLoopRanges();
-  if (!originalLoopRange)
-    return rewriter.notifyMatchFailure(linalgOp, "unable to find loop range");
-  originalLoopExtent.assign(originalLoopRange->begin(),
-                            originalLoopRange->end());
+  SmallVector<int64_t, 4> originalLoopRange = linalgOp.getStaticLoopRanges();
+  originalLoopExtent.assign(originalLoopRange.begin(), originalLoopRange.end());
 
   reassociation.clear();
   expandedShapeMap.clear();
diff --git a/mlir/lib/Dialect/Linalg/Transforms/SplitReduction.cpp b/mlir/lib/Dialect/Linalg/Transforms/SplitReduction.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/SplitReduction.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/SplitReduction.cpp
@@ -73,12 +73,10 @@
   op.getReductionDims(dims);
   assert(dims.size() == 1);
   unsigned reductionDim = dims[0];
-  Optional<SmallVector<int64_t, 4>> loopRanges = op.getStaticLoopRanges();
-  if (!loopRanges)
-    return b.notifyMatchFailure(op, "Cannot analyze loops");
-  int64_t reductionDimSize = (*loopRanges)[reductionDim];
+  SmallVector<int64_t, 4> loopRanges = op.getStaticLoopRanges();
+  int64_t reductionDimSize = loopRanges[reductionDim];
   if (reductionDimSize == ShapedType::kDynamicSize ||
-      reductionDimSize % ratio != 0 || insertDimIndex >= loopRanges->size())
+      reductionDimSize % ratio != 0 || insertDimIndex >= loopRanges.size())
     return b.notifyMatchFailure(
         op, "Reduction dimension not divisible by split ratio");
   SmallVector<Operation *, 4> combinerOps;