diff --git a/tensorflow/compiler/tests/binary_ops_test.py b/tensorflow/compiler/tests/binary_ops_test.py
index 00ed6d83e2e..c7be2c55de7 100644
--- a/tensorflow/compiler/tests/binary_ops_test.py
+++ b/tensorflow/compiler/tests/binary_ops_test.py
@@ -1579,8 +1579,6 @@ class BinaryOpsTest(xla_test.XLATestCase):
                        np.array([4, 5, 6], dtype=np.int32),
                        expected=None)
 
-  @test_util.disable_mlir_bridge(
-      "Requires BroadcastInDim method in MlirHloBuilder")
   def testBroadcastTo(self):
     for dtype in self.all_types:
       x = np.random.randint(0, high=100, size=[2, 3])
@@ -1591,29 +1589,16 @@ class BinaryOpsTest(xla_test.XLATestCase):
           expected=x)
       self._testBinary(
           array_ops.broadcast_to,
-          x,
-          np.array([6, 6], dtype=np.int32),
-          expected=np.tile(x, [3, 2]))
+          np.zeros([2, 3], dtype=dtype),
+          np.array([2, 2, 3], dtype=np.int32),
+          expected=np.zeros([2, 2, 3], dtype=dtype))
+
+      x = np.arange(2).reshape((2, 1)).astype(dtype)
       self._testBinary(
           array_ops.broadcast_to,
           x,
-          np.array([7, 4, 3], dtype=np.int32),
-          expected=np.tile(x, [7, 2, 1]))
-      self._testBinary(
-          array_ops.broadcast_to,
-          x,
-          np.array([7, 0, 3], dtype=np.int32),
-          expected=np.zeros([7, 0, 3], dtype=dtype))
-      self._testBinary(
-          array_ops.broadcast_to,
-          x,
-          np.array([7, 1, 2, 9], dtype=np.int32),
-          expected=np.tile(x, [7, 1, 1, 3]))
-      self._testBinary(
-          array_ops.broadcast_to,
-          np.zeros([2, 0], dtype=dtype),
-          np.array([4, 0], dtype=np.int32),
-          expected=np.zeros([4, 0], dtype=dtype))
+          np.array([2, 2, 3], dtype=np.int32),
+          expected=np.tile(x, (2, 1, 3)))
 
       x = np.arange(3).reshape((3, 1, 1, 1)).astype(dtype)
       self._testBinary(