Fix random seed.

fluid/icnet/train.py

@@ -17,6 +17,7 @@ from paddle.fluid.initializer import init_on_cpu
 
 if 'ce_mode' in os.environ:
     np.random.seed(10)
+    fluid.default_startup_program().random_seed = 90
 
 parser = argparse.ArgumentParser(description=__doc__)
 add_arg = functools.partial(add_arguments, argparser=parser)
@@ -91,9 +92,6 @@ def train(args):
         place = fluid.CUDAPlace(0)
     exe = fluid.Executor(place)
 
-    if 'ce_mode' in os.environ:
-        fluid.default_startup_program().random_seed = 90
-
     exe.run(fluid.default_startup_program())
 
     if args.init_model is not None:
@@ -126,9 +124,10 @@ def train(args):
             sub124_loss += results[3]
             # training log
             if iter_id % LOG_PERIOD == 0:
-                print("Iter[%d]; train loss: %.3f; sub4_loss: %.3f; sub24_loss: %.3f; sub124_loss: %.3f" % (
-                    iter_id, t_loss / LOG_PERIOD, sub4_loss / LOG_PERIOD,
-                    sub24_loss / LOG_PERIOD, sub124_loss / LOG_PERIOD))
+                print(
+                    "Iter[%d]; train loss: %.3f; sub4_loss: %.3f; sub24_loss: %.3f; sub124_loss: %.3f"
+                    % (iter_id, t_loss / LOG_PERIOD, sub4_loss / LOG_PERIOD,
+                       sub24_loss / LOG_PERIOD, sub124_loss / LOG_PERIOD))
                 print("kpis	train_cost	%f" % (t_loss / LOG_PERIOD))
 
                 t_loss = 0.