release v0.3.4.1

pytorch_lightning/models/trainer.py

@@ -443,7 +443,6 @@ class Trainer(TrainerIO):
         self.optimizers = model.configure_optimizers()
 
         model.cuda(self.data_parallel_device_ids[0])
-        model = LightningDataParallel(model, device_ids=self.data_parallel_device_ids)
 
         # run through amp wrapper
         if self.use_amp:
@@ -453,6 +452,8 @@ class Trainer(TrainerIO):
             )
             self.optimizers = optimizers
 
+        model = LightningDataParallel(model, device_ids=self.data_parallel_device_ids)
+
         self.__run_pretrain_routine(model)
 
     def ddp_train(self, gpu_nb, model):
@@ -506,7 +507,7 @@ class Trainer(TrainerIO):
             )
             self.optimizers = optimizers
 
-        model = LightningDistributedDataParallel(model, device_ids=[gpu_nb])
+        model = LightningDistributedDataParallel(model, device_ids=[gpu_nb], find_unused_parameters=True)
 
         # continue training routine
         self.__run_pretrain_routine(model)

setup.py

@@ -7,7 +7,7 @@ from setuptools import setup, find_packages
 # http://blog.ionelmc.ro/2014/05/25/python-packaging/
 setup(
     name="pytorch-lightning",
-    version='0.3.4',
+    version='0.3.4.1',
     description="The Keras for ML researchers using PyTorch",
     author="William Falcon",
     author_email="waf2107@columbia.edu",