update conversion script names

pytorch_transformers/__main__.py

@@ -3,7 +3,8 @@ def main():
     import sys
     if (len(sys.argv) < 4 or len(sys.argv) > 6) or sys.argv[1] not in ["bert", "gpt", "transfo_xl", "gpt2", "xlnet", "xlm"]:
         print(
-        "Should be used as one of: \n"
+        "This command line utility let you convert original (author released) model checkpoint to pytorch.\n"
+        "It should be used as one of: \n"
         ">> pytorch_transformers bert TF_CHECKPOINT TF_CONFIG PYTORCH_DUMP_OUTPUT, \n"
         ">> pytorch_transformers gpt OPENAI_GPT_CHECKPOINT_FOLDER_PATH PYTORCH_DUMP_OUTPUT [OPENAI_GPT_CONFIG], \n"
         ">> pytorch_transformers transfo_xl TF_CHECKPOINT_OR_DATASET PYTORCH_DUMP_OUTPUT [TF_CONFIG] or \n"
@@ -13,7 +14,7 @@ def main():
     else:
         if sys.argv[1] == "bert":
             try:
-                from .convert_tf_checkpoint_to_pytorch import convert_tf_checkpoint_to_pytorch
+                from .convert_bert_original_tf_checkpoint_to_pytorch import convert_tf_checkpoint_to_pytorch
             except ImportError:
                 print("pytorch_transformers can only be used from the commandline to convert TensorFlow models in PyTorch, "
                     "In that case, it requires TensorFlow to be installed. Please see "
@@ -29,7 +30,7 @@ def main():
                 TF_CHECKPOINT = sys.argv.pop()
                 convert_tf_checkpoint_to_pytorch(TF_CHECKPOINT, TF_CONFIG, PYTORCH_DUMP_OUTPUT)
         elif sys.argv[1] == "gpt":
-            from .convert_openai_checkpoint_to_pytorch import convert_openai_checkpoint_to_pytorch
+            from .convert_openai_original_tf_checkpoint_to_pytorch import convert_openai_checkpoint_to_pytorch
             if len(sys.argv) < 4 or len(sys.argv) > 5:
                 # pylint: disable=line-too-long
                 print("Should be used as `pytorch_transformers gpt OPENAI_GPT_CHECKPOINT_FOLDER_PATH PYTORCH_DUMP_OUTPUT [OPENAI_GPT_CONFIG]`")
@@ -45,7 +46,7 @@ def main():
                                                     PYTORCH_DUMP_OUTPUT)
         elif sys.argv[1] == "transfo_xl":
             try:
-                from .convert_transfo_xl_checkpoint_to_pytorch import convert_transfo_xl_checkpoint_to_pytorch
+                from .convert_transfo_xl_original_tf_checkpoint_to_pytorch import convert_transfo_xl_checkpoint_to_pytorch
             except ImportError:
                 print("pytorch_transformers can only be used from the commandline to convert TensorFlow models in PyTorch, "
                     "In that case, it requires TensorFlow to be installed. Please see "
@@ -69,7 +70,7 @@ def main():
                 convert_transfo_xl_checkpoint_to_pytorch(TF_CHECKPOINT, TF_CONFIG, PYTORCH_DUMP_OUTPUT, TF_DATASET_FILE)
         elif sys.argv[1] == "gpt2":
             try:
-                from .convert_gpt2_checkpoint_to_pytorch import convert_gpt2_checkpoint_to_pytorch
+                from .convert_gpt2_original_tf_checkpoint_to_pytorch import convert_gpt2_checkpoint_to_pytorch
             except ImportError:
                 print("pytorch_transformers can only be used from the commandline to convert TensorFlow models in PyTorch, "
                     "In that case, it requires TensorFlow to be installed. Please see "
@@ -89,7 +90,7 @@ def main():
                 convert_gpt2_checkpoint_to_pytorch(TF_CHECKPOINT, TF_CONFIG, PYTORCH_DUMP_OUTPUT)
         elif sys.argv[1] == "xlnet":
             try:
-                from .convert_xlnet_checkpoint_to_pytorch import convert_xlnet_checkpoint_to_pytorch
+                from .convert_xlnet_original_tf_checkpoint_to_pytorch import convert_xlnet_checkpoint_to_pytorch
             except ImportError:
                 print("pytorch_transformers can only be used from the commandline to convert TensorFlow models in PyTorch, "
                     "In that case, it requires TensorFlow to be installed. Please see "
@@ -113,7 +114,7 @@ def main():
                                                     PYTORCH_DUMP_OUTPUT,
                                                     FINETUNING_TASK)
         elif sys.argv[1] == "xlm":
-            from .convert_xlm_checkpoint_to_pytorch import convert_xlm_checkpoint_to_pytorch
+            from .convert_xlm_original_pytorch_checkpoint_to_pytorch import convert_xlm_checkpoint_to_pytorch
 
             if len(sys.argv) != 4:
                 # pylint: disable=line-too-long