diff --git a/tensorflow/python/keras/metrics_test.py b/tensorflow/python/keras/metrics_test.py
index ba1b76bab32..29fc36b5fc6 100644
--- a/tensorflow/python/keras/metrics_test.py
+++ b/tensorflow/python/keras/metrics_test.py
@@ -33,6 +33,7 @@ from tensorflow.python.framework import dtypes
 from tensorflow.python.framework import errors_impl
 from tensorflow.python.framework import ops
 from tensorflow.python.framework import test_util
+from tensorflow.python.keras import backend
 from tensorflow.python.keras import combinations
 from tensorflow.python.keras import keras_parameterized
 from tensorflow.python.keras import layers
@@ -2174,6 +2175,23 @@ class ResetStatesTest(keras_parameterized.TestCase):
     self.assertArrayNear(self.evaluate(m_obj.total_cm)[0], [1, 0], 1e-1)
     self.assertArrayNear(self.evaluate(m_obj.total_cm)[1], [3, 0], 1e-1)
 
+  def test_reset_states_recall_float64(self):
+    # Test case for GitHub issue 36790.
+    try:
+      backend.set_floatx('float64')
+      r_obj = metrics.Recall()
+      model = _get_model([r_obj])
+      x = np.concatenate((np.ones((50, 4)), np.zeros((50, 4))))
+      y = np.concatenate((np.ones((50, 1)), np.ones((50, 1))))
+      model.evaluate(x, y)
+      self.assertEqual(self.evaluate(r_obj.true_positives), 50.)
+      self.assertEqual(self.evaluate(r_obj.false_negatives), 50.)
+      model.evaluate(x, y)
+      self.assertEqual(self.evaluate(r_obj.true_positives), 50.)
+      self.assertEqual(self.evaluate(r_obj.false_negatives), 50.)
+    finally:
+      backend.set_floatx('float32')
+
 
 if __name__ == '__main__':
   test.main()