diff --git a/test/mlir/onnx/onnx_shape_inference.mlir b/test/mlir/onnx/onnx_shape_inference.mlir
index a0a2550..7b47e60 100644
--- a/test/mlir/onnx/onnx_shape_inference.mlir
+++ b/test/mlir/onnx/onnx_shape_inference.mlir
@@ -1,24 +1,43 @@
 // RUN: onnf-opt --shape-inference %s -split-input-file | FileCheck %s
 
-
 /// Test the default behavior of transpose when no information for the
 /// permutation of the axes is provided.
 func @test_default_transpose(%arg0 : tensor<5x5x1x32xf32>) -> tensor<*xf32> {
   %0 = "onnx.Transpose"(%arg0) : (tensor<5x5x1x32xf32>) -> tensor<*xf32>
   "std.return"(%0) : (tensor<*xf32>) -> ()
+
+  // CHECK-LABEL: test_default_transpose
+  // CHECK: [[RES:%.+]] = "onnx.Transpose"(%arg0) : (tensor<5x5x1x32xf32>) -> tensor<32x1x5x5xf32>
+  // CHECK: return [[RES]] : tensor<32x1x5x5xf32>
 }
 
-// CHECK-LABEL: test_default_transpose
-// CHECK: [[RES:%.+]] = "onnx.Transpose"(%arg0) : (tensor<5x5x1x32xf32>) -> tensor<32x1x5x5xf32>
-// CHECK: return [[RES]] : tensor<32x1x5x5xf32>
-
-
 /// Test the shape inferencing scheme for the matmul operation.
+/// MatMul: 1-D x 1-D
 func @test_matmul_1(%arg0 : tensor<32xf32>, %arg1 : tensor<32xf32>) -> tensor<*xf32> {
   %0 = "onnx.MatMul"(%arg0, %arg1) : (tensor<32xf32>, tensor<32xf32>) -> tensor<*xf32>
   "std.return"(%0) : (tensor<*xf32>) -> ()
+
+  // CHECK-LABEL: test_matmul_1
+  // CHECK: [[RES1:%.+]] = "onnx.MatMul"(%arg0, %arg1) : (tensor<32xf32>, tensor<32xf32>) -> tensor<1xf32>
+  // CHECK: return [[RES1]] : tensor<1xf32>
 }
 
-// CHECK-LABEL: test_matmul_1
-// CHECK: [[RES1:%.+]] = "onnx.MatMul"(%arg0, %arg1) : (tensor<32xf32>, tensor<32xf32>) -> tensor<1xf32>
-// CHECK: return [[RES1]] : tensor<1xf32>
\ No newline at end of file
+/// MatMul: K-D x 2-D (K > 2)
+func @test_matmul_2(%arg0 : tensor<16x?x64x42xf32>, %arg1 : tensor<42x32xf32>) -> tensor<*xf32> {
+  %0 = "onnx.MatMul"(%arg0, %arg1) : (tensor<16x?x64x42xf32>, tensor<42x32xf32>) -> tensor<*xf32>
+  "std.return"(%0) : (tensor<*xf32>) -> ()
+
+  // CHECK-LABEL: test_matmul_2
+  // CHECK: [[RES2:%.+]] = "onnx.MatMul"(%arg0, %arg1) : (tensor<16x?x64x42xf32>, tensor<42x32xf32>) -> tensor<16x?x64x32xf32>
+  // CHECK: return [[RES2]] : tensor<16x?x64x32xf32>
+}
+
+/// MatMul: 2-D x K-D (K > 2)
+func @test_matmul_3(%arg0 : tensor<64x42xf32>, %arg1 : tensor<16x?x42x32xf32>) -> tensor<*xf32> {
+  %0 = "onnx.MatMul"(%arg0, %arg1) : (tensor<64x42xf32>, tensor<16x?x42x32xf32>) -> tensor<*xf32>
+  "std.return"(%0) : (tensor<*xf32>) -> ()
+
+  // CHECK-LABEL: test_matmul_3
+  // CHECK: [[RES3:%.+]] = "onnx.MatMul"(%arg0, %arg1) : (tensor<64x42xf32>, tensor<16x?x42x32xf32>) -> tensor<16x?x64x32xf32>
+  // CHECK: return [[RES3]] : tensor<16x?x64x32xf32>
+}
\ No newline at end of file