Move seed randomization to learn.py (#1071)

* Move seed randomization to learn.py

* Remove print statement

python/learn.py

 
 import os
 import multiprocessing
+import numpy as np
+
 
 from unitytrainers.trainer_controller import TrainerController
 from unitytrainers.exception import TrainerError
     TRAINER_CONFIG_PATH = os.path.abspath(os.path.join(base_path, "trainer_config.yaml"))
 
 
-    def run_training(sub_id):
+    def run_training(sub_id, use_seed):
-                               load_model, train_model, worker_id + sub_id, keep_checkpoints, lesson, seed,
+                               load_model, train_model, worker_id + sub_id, keep_checkpoints, lesson, use_seed,
                                docker_target_name, TRAINER_CONFIG_PATH, no_graphics)
         tc.start_learning()
 
 
     jobs = []
     for i in range(num_runs):
-        p = multiprocessing.Process(target=run_training, args=(i,))
+        if seed == -1:
+            use_seed = np.random.randint(0, 9999)
+        else:
+            use_seed = seed
+        p = multiprocessing.Process(target=run_training, args=(i, use_seed))
         jobs.append(p)
         p.start()

python/unitytrainers/trainer_controller.py

         self.worker_id = worker_id
         self.keep_checkpoints = keep_checkpoints
         self.trainers = {}
-        if seed == -1:
-            seed = np.random.randint(0, 999999)
         self.seed = seed
         np.random.seed(self.seed)
         tf.set_random_seed(self.seed)