added single node distdataparallel

pytorch_lightning/models/trainer.py

@@ -284,7 +284,7 @@ class Trainer(TrainerIO):
         # when GPU is called, spawn off a single worker for each gpu
         if self.on_gpu:
             rank = 0
-            self.model = model
+            # self.model = model
             mp.spawn(dummy, nprocs=len(self.data_parallel_device_ids), args=(self, ))
         else:
             self.__run_pretrain_routine(model)
@@ -292,7 +292,7 @@ class Trainer(TrainerIO):
     def __getstate__(self):
         """ This is called before pickling. """
         state = self.__dict__.copy()
-        del state['experiment']
+        # del state['experiment']
         return state
 
     def __dp_train(self, gpu_nb, proc_rank):