fix

core/trainers/single_infer.py

@@ -229,7 +229,7 @@ class SingleInfer(TranspileTrainer):
         fetch_alias = []
         fetch_period = int(
             envs.get_global_env("runner." + self._runner_name +
-                                ".fetch_period", 20))
+                                ".print_interval", 20))
         metrics = model_class.get_infer_results()
         if metrics:
             fetch_vars = metrics.values()
@@ -260,7 +260,7 @@ class SingleInfer(TranspileTrainer):
         metrics_format = []
         fetch_period = int(
             envs.get_global_env("runner." + self._runner_name +
-                                ".fetch_period", 20))
+                                ".print_interval", 20))
         metrics_format.append("{}: {{}}".format("batch"))
         for name, var in metrics.items():
             metrics_varnames.append(var.name)

core/trainers/single_trainer.py

@@ -226,7 +226,7 @@ class SingleTrainer(TranspileTrainer):
         fetch_alias = []
         fetch_period = int(
             envs.get_global_env("runner." + self._runner_name +
-                                ".fetch_period", 20))
+                                ".print_interval", 20))
         metrics = model_class.get_metrics()
         if metrics:
             fetch_vars = metrics.values()
@@ -253,7 +253,7 @@ class SingleTrainer(TranspileTrainer):
         fetch_alias = []
         fetch_period = int(
             envs.get_global_env("runner." + self._runner_name +
-                                ".fetch_period", 20))
+                                ".print_interval", 20))
         metrics = model_class.get_metrics()
         if metrics:
             fetch_vars = metrics.values()

models/rank/dnn/config.yaml

@@ -62,7 +62,7 @@ runner:
   save_inference_feed_varnames: [] # feed vars of save inference
   save_inference_fetch_varnames: [] # fetch vars of save inference
   init_model_path: "" # load model path
-  fetch_period: 10
+  print_interval: 10
 - name: runner2
   class: single_infer
   # num of epochs