diff --git a/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp b/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
--- a/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
+++ b/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
@@ -1543,13 +1543,7 @@
   }
 
   for (const auto &[idx, inputDimIdx] : llvm::enumerate(reverseDimMap)) {
-    if (inputDimIdx == kUnmappedDim) {
-      // This dimensions is being added. Should be statically known.
-      if (ShapedType::isDynamic(initShape[idx]))
-        return emitOpError()
-               << "init dim " << idx
-               << " can't be dynamic, because it's not matched to input";
-    } else {
+    if (inputDimIdx != kUnmappedDim) {
       // This dimensions is mapped from the input. Init and input dims should
       // match.
       if (inputShape[inputDimIdx] != initShape[idx])
diff --git a/mlir/test/Dialect/Linalg/invalid.mlir b/mlir/test/Dialect/Linalg/invalid.mlir
--- a/mlir/test/Dialect/Linalg/invalid.mlir
+++ b/mlir/test/Dialect/Linalg/invalid.mlir
@@ -728,19 +728,6 @@
 
 // -----
 
-func.func @broadcast_added_dynamic_mismatch(
-    %input: tensor<4x16xf32>, %init: tensor<4x?x16xf32>)
-    -> tensor<4x?x16xf32> {
-  // expected-error @+1 {{'linalg.broadcast' op init dim 1 can't be dynamic, because it's not matched to input}}
-  %bcast = linalg.broadcast
-      ins(%input:tensor<4x16xf32>)
-      outs(%init:tensor<4x?x16xf32>)
-      dimensions = [0, 2]
-  func.return %bcast : tensor<4x?x16xf32>
-}
-
-// -----
-
 func.func @broadcast_size_1_extension_not_supported(
     %input: tensor<1x16xf32>, %init: tensor<4x?x16xf32>)
     -> tensor<4x?x16xf32> {