add multi phase and multi runner

run.py

@@ -218,29 +218,32 @@ def single_train_engine(args):
 
 def single_infer_engine(args):
     _envs = envs.load_yaml(args.model)
-    run_extras = get_all_inters_from_yaml(args.model, ["train.", "runner."])
-    trainer_class = run_extras.get(
-        "runner." + _envs["mode"] + ".trainer_class", None)
+    run_extras = get_all_inters_from_yaml(args.model, ["runner."])
 
-    if trainer_class:
-        trainer = trainer_class
-    else:
-        trainer = "GeneralTrainer"
+    mode = envs.get_runtime_environ("mode")
+    trainer_class = ".".join(["runner", mode, "trainer_class"])
+    fleet_class = ".".join(["runner", mode, "fleet_mode"])
+    device_class = ".".join(["runner", mode, "device"])
+    selected_gpus_class = ".".join(["runner", mode, "selected_gpus"])
 
+    trainer = run_extras.get(trainer_class, "GeneralTrainer")
+    fleet_mode = run_extras.get(fleet_class, "ps")
+    device = run_extras.get(device_class, "cpu")
+    selected_gpus = run_extras.get(selected_gpus_class, "0")
     executor_mode = "infer"
-    fleet_mode = run_extras.get("runner." + _envs["mode"] + ".fleet_mode",
-                                "ps")
 
-    device = run_extras.get("runner." + _envs["mode"] + ".device", "cpu")
-    selected_gpus = run_extras.get(
-        "runner." + _envs["mode"] + ".selected_gpus", "0")
-    selected_gpus_num = len(selected_gpus.split(","))
+    single_envs = {}
+
     if device.upper() == "GPU":
-        assert selected_gpus_num == 1, "Single Mode Only Support One GPU, Set Local Cluster Mode to use Multi-GPUS"
+        selected_gpus_num = len(selected_gpus.split(","))
+        if selected_gpus_num != 1:
+            raise ValueError(
+                "Single Mode Only Support One GPU, Set Local Cluster Mode to use Multi-GPUS"
+            )
 
-    single_envs = {}
-    single_envs["selected_gpus"] = selected_gpus
+        single_envs["selsected_gpus"] = selected_gpus
         single_envs["FLAGS_selected_gpus"] = selected_gpus
+
     single_envs["train.trainer.trainer"] = trainer
     single_envs["train.trainer.executor_mode"] = executor_mode
     single_envs["fleet_mode"] = fleet_mode