diff --git a/tensorflow/contrib/layers/python/layers/embedding_ops.py b/tensorflow/contrib/layers/python/layers/embedding_ops.py
index 60e1d85ea9c..897aed527da 100644
--- a/tensorflow/contrib/layers/python/layers/embedding_ops.py
+++ b/tensorflow/contrib/layers/python/layers/embedding_ops.py
@@ -112,9 +112,10 @@ def safe_embedding_lookup_sparse(embedding_weights,
   dtype = sparse_weights.dtype if sparse_weights is not None else None
   if isinstance(embedding_weights, variables.PartitionedVariable):
     embedding_weights = list(embedding_weights)
-  embedding_weights = [
-      ops.convert_to_tensor(w, dtype=dtype) for w in embedding_weights
-  ]
+  if not isinstance(embedding_weights[0], resource_variable_ops.ResourceVariable):
+    embedding_weights = [
+        ops.convert_to_tensor(w, dtype=dtype) for w in embedding_weights
+    ]
 
   contrib_tensor_util.assert_same_float_dtype(embedding_weights +
                                               [sparse_weights])
diff --git a/tensorflow/python/feature_column/feature_column_v2.py b/tensorflow/python/feature_column/feature_column_v2.py
index b4dd23f58de..220a4f7ed66 100644
--- a/tensorflow/python/feature_column/feature_column_v2.py
+++ b/tensorflow/python/feature_column/feature_column_v2.py
@@ -3283,9 +3283,10 @@ def _safe_embedding_lookup_sparse(embedding_weights,
     raise ValueError('Missing embedding_weights %s.' % embedding_weights)
 
   dtype = sparse_weights.dtype if sparse_weights is not None else None
-  embedding_weights = [
-      ops.convert_to_tensor(w, dtype=dtype) for w in embedding_weights
-  ]
+  if not isinstance(embedding_weights[0], resource_variable_ops.ResourceVariable):
+    embedding_weights = [
+        ops.convert_to_tensor(w, dtype=dtype) for w in embedding_weights
+    ]
 
   with ops.name_scope(name, 'embedding_lookup',
                       embedding_weights + [sparse_ids,
diff --git a/tensorflow/python/ops/embedding_ops.py b/tensorflow/python/ops/embedding_ops.py
index 27c2fa70176..fe422f5095d 100644
--- a/tensorflow/python/ops/embedding_ops.py
+++ b/tensorflow/python/ops/embedding_ops.py
@@ -545,9 +545,10 @@ def safe_embedding_lookup_sparse(embedding_weights,
     raise ValueError('Missing embedding_weights %s.' % embedding_weights)
 
   dtype = sparse_weights.dtype if sparse_weights is not None else None
-  embedding_weights = [
-      ops.convert_to_tensor(w, dtype=dtype) for w in embedding_weights
-  ]
+  if not isinstance(embedding_weights[0], resource_variable_ops.ResourceVariable):
+    embedding_weights = [
+        ops.convert_to_tensor(w, dtype=dtype) for w in embedding_weights
+    ]
 
   with ops.name_scope(name, 'embedding_lookup',
                       embedding_weights + [sparse_ids,