diff --git a/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td b/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
--- a/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
+++ b/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
@@ -1507,6 +1507,12 @@
     SSA values, the handle must be mapped to exactly one payload op with
     exactly one index-typed result.
 
+    Note: The input vector sizes must be bigger than or equal to their
+    counterpart iteration space sizes.
+
+    Typically this operator should be applied to linalg operations that have
+    already be tiled to the appropriate sizes.
+
     #### Return modes:
 
     This operation produces a definite failure if the dynamic vector sizes (SSA
diff --git a/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp b/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
@@ -980,16 +980,17 @@
            "Input vector sizes don't match the number of loops");
     assert(!ShapedType::isDynamicShape(inputVectorSizes) &&
            "Input vector sizes can't have dynamic dimensions");
-    assert(llvm::all_of(
-               llvm::zip(linalgOp.getStaticLoopRanges(), inputVectorSizes),
-               [](std::tuple<int64_t, int64_t> sizePair) {
-                 int64_t staticSize = std::get<0>(sizePair);
-                 int64_t inputSize = std::get<1>(sizePair);
-                 return ShapedType::isDynamic(staticSize) ||
-                        staticSize <= inputSize;
-               }) &&
-           "Input vector sizes must be smaller or equal than iteration space "
-           "static sizes");
+    assert(
+        llvm::all_of(
+            llvm::zip(linalgOp.getStaticLoopRanges(), inputVectorSizes),
+            [](std::tuple<int64_t, int64_t> sizePair) {
+              int64_t staticSize = std::get<0>(sizePair);
+              int64_t inputSize = std::get<1>(sizePair);
+              return ShapedType::isDynamic(staticSize) ||
+                     staticSize <= inputSize;
+            }) &&
+        "Input vector sizes must be greater than or equal to iteration space "
+        "static sizes");
   }
 
   // TODO: Masking is only supported for dynamic shapes so input vector sizes
@@ -1066,8 +1067,8 @@
 
 /// Emit a suitable vector form for a Linalg op. If provided, `inputVectorSizes`
 /// are used to vectorize this operation. `inputVectorSizes` must match the rank
-/// of the iteration space of the operation and the sizes must be smaller or
-/// equal than their counterpart interation space sizes, if static.
+/// of the iteration space of the operation and the input vector sizes must be
+/// greater than or equal to their counterpart iteration space sizes, if static.
 /// `inputVectorShapes` also allows the vectorization of operations with dynamic
 /// shapes.
 LogicalResult mlir::linalg::vectorize(RewriterBase &rewriter, LinalgOp linalgOp,