From 14eef67eb227bc45f1a7d183dda35f7dad5e34ef Mon Sep 17 00:00:00 2001
From: Abhishek Rao <arao@microsoft.com>
Date: Wed, 21 Aug 2019 15:48:43 -0700
Subject: [PATCH] Fix at config rather than model

---
 pytorch_transformers/modeling_utils.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/pytorch_transformers/modeling_utils.py b/pytorch_transformers/modeling_utils.py
index 8ad0f672df..5066c42595 100644
--- a/pytorch_transformers/modeling_utils.py
+++ b/pytorch_transformers/modeling_utils.py
@@ -166,7 +166,7 @@ class PretrainedConfig(object):
         # redirect to the cache, if necessary
         try:
             resolved_config_file = cached_path(config_file, cache_dir=cache_dir, force_download=force_download, proxies=proxies)
-        except EnvironmentError:
+        except EnvironmentError as e:
             if pretrained_model_name_or_path in cls.pretrained_config_archive_map:
                 logger.error(
                     "Couldn't reach server at '{}' to download pretrained model configuration file.".format(
@@ -179,7 +179,7 @@ class PretrainedConfig(object):
                         pretrained_model_name_or_path,
                         ', '.join(cls.pretrained_config_archive_map.keys()),
                         config_file))
-            return None
+            raise e
         if resolved_config_file == config_file:
             logger.info("loading configuration file {}".format(config_file))
         else:
@@ -473,7 +473,7 @@ class PreTrainedModel(nn.Module):
         # redirect to the cache, if necessary
         try:
             resolved_archive_file = cached_path(archive_file, cache_dir=cache_dir, force_download=force_download, proxies=proxies)
-        except EnvironmentError as e:
+        except EnvironmentError:
             if pretrained_model_name_or_path in cls.pretrained_model_archive_map:
                 logger.error(
                     "Couldn't reach server at '{}' to download pretrained weights.".format(
@@ -486,7 +486,7 @@ class PreTrainedModel(nn.Module):
                         pretrained_model_name_or_path,
                         ', '.join(cls.pretrained_model_archive_map.keys()),
                         archive_file))
-            raise e
+            return None
         if resolved_archive_file == archive_file:
             logger.info("loading weights file {}".format(archive_file))
         else: