Update the code

inclearn/train.py

@@ -248,13 +248,6 @@ def _set_seed(seed, nb_threads, no_benchmark, detect_anomaly):
     logger.info("Set seed {}".format(seed))
     random.seed(seed)
     np.random.seed(seed)
-    torch.manual_seed(seed)
-    torch.cuda.manual_seed_all(seed)
-    if no_benchmark:
-        logger.warning("CUDA algos are not determinists but faster!")
-    else:
-        logger.warning("CUDA algos are determinists but very slow!")
-    torch.backends.cudnn.deterministic = not no_benchmark  # This will slow down training.
     torch.set_num_threads(nb_threads)
     if detect_anomaly:
         logger.info("Will detect autograd anomaly.")