diff --git a/data/maker/__init__.py b/data/maker/__init__.py
index 803590a..4867bf6 100644
--- a/data/maker/__init__.py
+++ b/data/maker/__init__.py
@@ -144,9 +144,12 @@ def generate(**_args):
     """
     partition = _args['partition'] if 'partition' in _args else None
     if not partition :
-        f = open(os.sep.join([_args['logs'],'output',_args['context'],'map.json']))
+        LOG_DIR = os.sep.join([_args['logs'],'output',_args['context']])
+        # f = open(os.sep.join([_args['logs'],'output',_args['context'],'map.json']))
     else:
-        f = open(os.sep.join([_args['logs'],'output',_args['context'],str(partition),'map.json']))
+        LOG_DIR = os.sep.join([_args['logs'],'output',_args['context'],str(partition)])
+        # f = open(os.sep.join([_args['logs'],'output',_args['context'],str(partition),'map.json']))
+    f = open(os.sep.join([LOG_DIR,'map.json']))
     _map = json.loads(f.read())
     f.close()
     # if 'file' in _args :
@@ -154,7 +157,7 @@ def generate(**_args):
     # else:
     #     df = _args['data'] if not isinstance(_args['data'],str) else pd.read_csv(_args['data'])
     args = {"context":_args['context'],"max_epochs":_args['max_epochs'],"candidates":_args['candidates']}
-    args['logs'] = _args['logs'] if 'logs' in _args else 'logs'
+    args['logs'] = LOG_DIR if 'logs' in _args else 'logs'
     args ['max_epochs'] = _args['max_epochs']
     # args['matrix_size'] = _matrix.shape[0]
     args['batch_size'] = 2000
diff --git a/pipeline.py b/pipeline.py
index 2311007..a958bb8 100644
--- a/pipeline.py
+++ b/pipeline.py
@@ -583,10 +583,10 @@ if __name__ == '__main__' :
 		if 'all-chips' in SYS_ARGS and GPU_CHIPS:
 			index = 0
 			jobs = []
-			for _id in GPU_CHIPS :
+			for _gpu in GPU_CHIPS :
 				_args = copy.deepcopy(args)
 				_args['gpu'] = [int(_gpu)]
-				_args['partition'] = index
+				_args['partition'] = int(_gpu) #index
 				index += 1
 				make = lambda _params: (Components()).generate(_params)
 				job = Process(target=make,args=( dict(_args),))
@@ -624,7 +624,7 @@ if __name__ == '__main__' :
 			for _gpu in GPU_CHIPS :
 				_args = copy.deepcopy(args)
 				_args['gpu'] = [int(_gpu)]
-				_args['partition'] = index
+				_args['partition'] = int(_gpu) #index
 				index += 1
 				make = lambda _params: (Components()).train(**_params)
 				job = Process(target=make,args=( _args,))
diff --git a/setup.py b/setup.py
index 1efc05e..1c126f5 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@ import sys
 def read(fname):
     return open(os.path.join(os.path.dirname(__file__), fname)).read() 
 args = {"name":"data-maker",
-        "version":"1.4.7",
+        "version":"1.4.7.1",
         "author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vanderbilt.edu","license":"MIT",
         "packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
 args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow==1.15','pandas','pandas-gbq','pymongo']