diff --git a/tensorflow/compiler/mlir/xla/tests/legalize-tf.mlir b/tensorflow/compiler/mlir/xla/tests/legalize-tf.mlir
index 6b2a4f1d92b..42fb73f17e2 100644
--- a/tensorflow/compiler/mlir/xla/tests/legalize-tf.mlir
+++ b/tensorflow/compiler/mlir/xla/tests/legalize-tf.mlir
@@ -97,6 +97,20 @@ func @broadcast_div(%arg0: tensor<1xi32>, %arg1: tensor<1x2xi32>) -> tensor<1x2x
   return %0: tensor<1x2xi32>
 }
 
+// CHECK-LABEL: func @maximum
+func @maximum(%arg0: tensor<4xf32>, %arg1: tensor<4xf32>) -> tensor<4xf32> {
+  // CHECK:  xla_hlo.max %arg0, %arg1 : tensor<4xf32>
+  %0 = "tf.Maximum"(%arg0, %arg1) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>
+  return %0 : tensor<4xf32>
+}
+
+// CHECK-LABEL: func @minimum
+func @minimum(%arg0: tensor<4xf32>, %arg1: tensor<4xf32>) -> tensor<4xf32> {
+  // CHECK:  xla_hlo.min %arg0, %arg1 : tensor<4xf32>
+  %0 = "tf.Minimum"(%arg0, %arg1) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>
+  return %0 : tensor<4xf32>
+}
+
 // CHECK-LABEL: func @mul
 func @mul(%arg0: tensor<2xi32>) -> tensor<2xi32> {
   // CHECK-NEXT:  %0 = xla_hlo.mul %arg0, %arg0 : tensor<2xi32>
diff --git a/tensorflow/compiler/mlir/xla/transforms/legalize_tf_patterns.td b/tensorflow/compiler/mlir/xla/transforms/legalize_tf_patterns.td
index 6d78f37e598..f2893507b3b 100644
--- a/tensorflow/compiler/mlir/xla/transforms/legalize_tf_patterns.td
+++ b/tensorflow/compiler/mlir/xla/transforms/legalize_tf_patterns.td
@@ -80,8 +80,10 @@ class DirectBinaryPat<Op FromOp, Op ToOp>
         (ToOp $l, $r, (BinBroadcastDimensions $l, $r))>;
 
 foreach fromToBinPair = [[TF_AddOp, HLO_AddOp],
-		         [TF_AddV2Op, HLO_AddOp],
+                         [TF_AddV2Op, HLO_AddOp],
                          [TF_DivOp, HLO_DivOp],
+                         [TF_MaximumOp, HLO_MaxOp],
+                         [TF_MinimumOp, HLO_MinOp],
                          [TF_MulOp, HLO_MulOp],
                          [TF_RealDivOp, HLO_DivOp],
                          [TF_SubOp, HLO_SubOp]] in