Make pytorch requirements soft and silence parameters logger.

combo/main.py

@@ -143,6 +143,8 @@ def run(_):
                     file.writelines(predictor.predict_instance_as_tree(tree).serialize())
     else:
         use_dataset_reader = ".conllu" in FLAGS.input_file.lower()
+        if FLAGS.silent:
+            logging.getLogger("allennlp.common.params").disabled = True
         manager = allen_predict._PredictManager(
             _get_predictor(),
             FLAGS.input_file,

setup.py

@@ -10,8 +10,8 @@ REQUIREMENTS = [
     'requests==2.23.0',
     'overrides==3.0.0',
     'tensorboard==2.1.0',
-    'torch==1.5.0',
-    'torchvision==0.6.0',
+    'torch>=1.5.0',
+    'torchvision>=0.6.0',
     'tqdm==4.43.0',
     'transformers==2.9.1',
     'urllib3==1.24.2',