diff --git a/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td b/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
index 7cd076b4260..736b28c6f9f 100644
--- a/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
+++ b/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
@@ -2441,6 +2441,68 @@ def TF_LogicalOrOp : TF_Op<"LogicalOr", [Broadcastable, Commutative, NoSideEffec
   );
 }
 
+def TF_LookupTableFindV2Op : TF_Op<"LookupTableFindV2", []> {
+  let summary = "Looks up keys in a table, outputs the corresponding values.";
+
+  let description = [{
+The tensor `keys` must of the same type as the keys of the table.
+The output `values` is of the type of the table values.
+
+The scalar `default_value` is the value output for keys not present in the
+table. It must also be of the same type as the table values.
+  }];
+
+  let arguments = (ins
+    TF_ResourceTensor:$table_handle,
+    TF_Tensor:$keys,
+    TF_Tensor:$default_value
+  );
+
+  let results = (outs
+    TF_Tensor:$values
+  );
+
+  TF_DerivedOperandTypeAttr Tin = TF_DerivedOperandTypeAttr<1>;
+  TF_DerivedOperandTypeAttr Tout = TF_DerivedOperandTypeAttr<2>;
+}
+
+def TF_LookupTableImportV2Op : TF_Op<"LookupTableImportV2", []> {
+  let summary = [{
+Replaces the contents of the table with the specified keys and values.
+  }];
+
+  let description = [{
+The tensor `keys` must be of the same type as the keys of the table.
+The tensor `values` must be of the type of the table values.
+  }];
+
+  let arguments = (ins
+    TF_ResourceTensor:$table_handle,
+    TF_Tensor:$keys,
+    TF_Tensor:$values
+  );
+
+  let results = (outs);
+
+  TF_DerivedOperandTypeAttr Tin = TF_DerivedOperandTypeAttr<1>;
+  TF_DerivedOperandTypeAttr Tout = TF_DerivedOperandTypeAttr<2>;
+}
+
+def TF_LookupTableSizeV2Op : TF_Op<"LookupTableSizeV2", []> {
+  let summary = "Computes the number of elements in the given table.";
+
+  let description = [{
+  }];
+
+  let arguments = (ins
+    TF_ResourceTensor:$table_handle
+  );
+
+  let results = (outs
+    I64Tensor:$size
+  );
+}
+
 def TF_MatMulOp : TF_Op<"MatMul", [NoSideEffect]> {
   let summary = [{
 Multiply the matrix "a" by the matrix "b".