clean code

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

@@ -582,57 +582,6 @@ class TestDistLookupTable(TestDistLookupTableBase):
                          startup_ops)
 
 
-class TestRemoteLookupTable(TestDistLookupTableBase):
-    def net_conf(self):
-        self.network_with_table(
-            is_sparse=True, is_distributed=False, remote_prefetch=True)
-
-    def transpiler_test_impl(self):
-        pserver1, startup1 = self.get_pserver(self.pserver1_ep)
-
-        self.assertEqual(len(pserver1.blocks), 6)
-        # 0 listen_and_serv
-        # 1 optimize for fc_w or fc_b adam
-        self.assertEqual([op.type for op in pserver1.blocks[1].ops],
-                         ["sum", "scale", "adam", "scale", "scale"])
-        # 4 prefetch -> lookup_sparse_table for data0
-        self.assertEqual([op.type for op in pserver1.blocks[2].ops],
-                         ["sum", "scale", "adam", "scale", "scale"])
-        # 2 optimize for table sgd
-        self.assertEqual([op.type for op in pserver1.blocks[3].ops],
-                         ["sum", "sgd"])
-        # 3 prefetch -> lookup_sparse_table for data0
-        self.assertEqual([op.type for op in pserver1.blocks[4].ops],
-                         ["lookup_sparse_table"])
-        # 5 save table
-        self.assertEqual([op.type for op in pserver1.blocks[5].ops], ["save"])
-
-        trainer, trainer_startup = self.get_trainer()
-        self.assertEqual(len(trainer.blocks), 1)
-        ops = [
-            'split_ids', 'prefetch', 'merge_ids', 'sequence_pool',
-            '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', 'split_selected_rows', 'send',
-            'sequence_pool_grad', 'lookup_table_grad', 'sequence_pool_grad',
-            'lookup_table_grad', 'sum', 'split_ids', 'send', 'send_barrier',
-            'recv', 'recv', 'recv', 'fetch_barrier', 'concat'
-        ]
-        self.assertEqual([op.type for op in trainer.blocks[0].ops], ops)
-        startup_ops = [
-            'fill_constant', 'fill_constant', 'fill_constant', 'fill_constant',
-            'fill_constant', 'fill_constant', 'fill_constant', 'fill_constant',
-            'fill_constant', 'fill_constant', 'fill_constant', 'fill_constant',
-            'fill_constant', 'fill_constant', 'uniform_random',
-            'uniform_random', 'recv', 'recv', 'recv', 'fetch_barrier', 'concat',
-            'fake_init'
-        ]
-        self.assertEqual([op.type for op in trainer_startup.blocks[0].ops],
-                         startup_ops)
-
-
 class TestAsyncLocalLookupTable(TestDistLookupTableBase):
     def net_conf(self):
         self.network_with_table(is_sparse=True, is_distributed=False)