added safeguards for callbacks in loading saving

tests/debug.py

@@ -1,7 +1,7 @@
 import pytest
 from pytorch_lightning import Trainer
 from pytorch_lightning.examples.new_project_templates.lightning_module_template import LightningTemplateModel
-from test_tube.argparse_hopt import TTNamespace
+from argparse import Namespace
 from test_tube import Experiment
 from pytorch_lightning.callbacks import ModelCheckpoint
 import numpy as np
@@ -15,14 +15,14 @@ import pdb
 def get_model():
     # set up model with these hyperparams
     root_dir = os.path.dirname(os.path.realpath(__file__))
-    hparams = TTNamespace(**{'drop_prob': 0.2,
-                             'batch_size': 32,
-                             'in_features': 28*28,
-                             'learning_rate': 0.001*8,
-                             'optimizer_name': 'adam',
-                             'data_root': os.path.join(root_dir, 'mnist'),
-                             'out_features': 10,
-                             'hidden_dim': 1000})
+    hparams = Namespace(**{'drop_prob': 0.2,
+                           'batch_size': 32,
+                           'in_features': 28*28,
+                           'learning_rate': 0.001*8,
+                           'optimizer_name': 'adam',
+                           'data_root': os.path.join(root_dir, 'mnist'),
+                           'out_features': 10,
+                           'hidden_dim': 1000})
     model = LightningTemplateModel(hparams)
 
     return model, hparams
@@ -61,7 +61,7 @@ def main():
 
     # exp file to get meta
     exp = get_exp(False)
-    exp.add_meta_from_hyperopt(hparams)
+    exp.argparse(hparams)
     exp.save()
 
     # exp file to get weights