add ce for PaddleDetection (#343)

tools/train.py

@@ -19,6 +19,7 @@ from __future__ import print_function
 import os
 import time
 import numpy as np
+import random
 import datetime
 from collections import deque
 
@@ -60,11 +61,14 @@ def main():
     FLAGS.dist = 'PADDLE_TRAINER_ID' in env and 'PADDLE_TRAINERS_NUM' in env
     if FLAGS.dist:
         trainer_id = int(env['PADDLE_TRAINER_ID'])
-        import random
         local_seed = (99 + trainer_id)
         random.seed(local_seed)
         np.random.seed(local_seed)
 
+    if FLAGS.enable_ce:
+        random.seed(0)
+        np.random.seed(0)
+
     cfg = load_config(FLAGS.config)
     if 'architecture' in cfg:
         main_arch = cfg.architecture
@@ -101,6 +105,9 @@ def main():
     # build program
     startup_prog = fluid.Program()
     train_prog = fluid.Program()
+    if FLAGS.enable_ce:
+        startup_prog.random_seed = 1000
+        train_prog.random_seed = 1000
     with fluid.program_guard(train_prog, startup_prog):
         with fluid.unique_name.guard():
             model = create(main_arch)
@@ -319,5 +326,11 @@ if __name__ == '__main__':
         type=str,
         default="tb_log_dir/scalar",
         help='Tensorboard logging directory for scalar.')
+    parser.add_argument(
+        "--enable_ce",
+        type=bool,
+        default=False,
+        help="If set True, enable continuous evaluation job."
+        "This flag is only used for internal test.")
     FLAGS = parser.parse_args()
     main()