Shubhamagarwal92 master (#1349)

* SA: for #958: set torch cuda device when finding root

* SA: for #958: removing root gpu hack in trainer/evaluation_loop

* SA: setting torch cuda device

* comment line too long

* check if root gpu exists or available

* Incorporating suggestions on #1094

* since root gpu returns none instead of -1 for cpu

* undo changes

* fixed dp memory thing

Co-authored-by: Shubham Agarwal <shubhamagarwal92@gmail.com>

pytorch_lightning/trainer/distrib_parts.py

@@ -526,6 +526,9 @@ def dp_train(self, model):
         if isinstance(device_ids, int):
             device_ids = list(range(device_ids))
 
+        # set dp device
+        torch.cuda.set_device(self.root_gpu)
+
         model = LightningDataParallel(model, device_ids=device_ids)
 
         self.run_pretrain_routine(model)

pytorch_lightning/trainer/trainer.py

@@ -389,6 +389,7 @@ def __init__(
         self.gpus = gpus
         self.data_parallel_device_ids = parse_gpu_ids(self.gpus)
         self.root_gpu = determine_root_gpu_device(self.data_parallel_device_ids)
+        self.root_device = torch.device("cpu")
 
         # tpu state flags
         self.use_tpu = False