diff --git a/test/mlir/test/gc/Transforms/GPU/gpu-pipeline.mlir b/test/mlir/test/gc/Transforms/GPU/gpu-pipeline.mlir
new file mode 100644
index 00000000..3696a8f3
--- /dev/null
+++ b/test/mlir/test/gc/Transforms/GPU/gpu-pipeline.mlir
@@ -0,0 +1,18 @@
+// RUN: gc-opt %s --gc-gpu-pipeline -split-input-file | FileCheck %s
+
+// Regression check for infinite loop in the linalg-to-xegpu pass
+// CHECK-DAG: @gcGpuOclKernel_corner_shape_matmul_f16_kernel_SPIRV
+// CHECK-DAG: @createGcGpuOclKernel_corner_shape_matmul_f16_kernel
+// CHECK-DAG: @corner_shape_matmul_f16
+module @fragment_name attributes {} {
+  func.func @corner_shape_matmul_f16(%arg0: memref<521x521xf16>, %arg1: memref<521x521xf16>, %arg2: memref<521x521xf16>) {
+    %0 = bufferization.to_tensor %arg0 restrict : memref<521x521xf16>
+    %1 = bufferization.to_tensor %arg1 restrict : memref<521x521xf16>
+    %2 = tensor.empty() : tensor<521x521xf16>
+    %cst = arith.constant 0.000000e+00 : f16
+    %3 = linalg.fill ins(%cst : f16) outs(%2 : tensor<521x521xf16>) -> tensor<521x521xf16>
+    %4 = linalg.matmul_transpose_b ins(%0, %1 : tensor<521x521xf16>, tensor<521x521xf16>) outs(%3 : tensor<521x521xf16>) -> tensor<521x521xf16>
+    bufferization.materialize_in_destination %4 in restrict writable %arg2 : (tensor<521x521xf16>, memref<521x521xf16>) -> ()
+    return
+  }
+}