add TestAsyncLocalLookupTable

python/paddle/fluid/tests/unittests/test_dist_transpiler.py

@@ -464,6 +464,39 @@ class TestDistLookupTable(TestDistLookupTableBase):
         self.assertEqual([op.type for op in trainer.blocks[0].ops], ops)
 
 
+class TestAsyncLocalLookupTable(TestDistLookupTableBase):
+    def net_conf(self):
+        self.network_with_table(is_sparse=True, is_distributed=False)
+
+    def transpiler_test_impl(self):
+        config = fluid.DistributeTranspilerConfig()
+        config.sync_mode = False
+        pserver1, startup1 = self.get_pserver(self.pserver1_ep, config)
+
+        self.assertEqual(len(pserver1.blocks), 3)
+        # 0 listen_and_serv
+        # 1 optimize for fc_w or fc_b adam
+        self.assertEqual([op.type for op in pserver1.blocks[1].ops],
+                         ["adam", "scale", "scale"])
+        # 2 optimize for table adam
+        # NOTE: if param is not selected rows, the grad will scaled to grad / trainer_num
+        self.assertEqual([op.type for op in pserver1.blocks[2].ops],
+                         ["adam", "scale", "scale"])
+
+        trainer = self.get_trainer(config)
+        self.assertEqual(len(trainer.blocks), 1)
+        ops = [
+            'lookup_table', 'sequence_pool', 'lookup_table', 'sequence_pool',
+            'concat', 'mul', 'elementwise_add', 'cross_entropy', 'mean',
+            'fill_constant', 'mean_grad', 'cross_entropy_grad',
+            'elementwise_add_grad', 'send', 'mul_grad', 'send', 'concat_grad',
+            'sequence_pool_grad', 'lookup_table_grad', 'sequence_pool_grad',
+            'lookup_table_grad', 'sum', 'split_selected_rows', 'send', 'recv',
+            'recv', 'recv', 'concat'
+        ]
+        self.assertEqual([op.type for op in trainer.blocks[0].ops], ops)
+
+
 class TestAsyncDistLookupTable(TestDistLookupTableBase):
     def net_conf(self):
         self.network_with_table(is_sparse=True, is_distributed=True)