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# coding: utf8
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"
">> 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"
">> pytorch_transformers gpt2 TF_CHECKPOINT PYTORCH_DUMP_OUTPUT [GPT2_CONFIG] or \n"
">> pytorch_transformers xlnet TF_CHECKPOINT TF_CONFIG PYTORCH_DUMP_OUTPUT [FINETUNING_TASK_NAME] or \n"
">> pytorch_transformers xlm XLM_CHECKPOINT_PATH PYTORCH_DUMP_OUTPUT")
else:
if sys.argv[1] == "bert":
try:
from .convert_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 "
"https://www.tensorflow.org/install/ for installation instructions.")
raise
if len(sys.argv) != 5:
# pylint: disable=line-too-long
print("Should be used as `pytorch_transformers bert TF_CHECKPOINT TF_CONFIG PYTORCH_DUMP_OUTPUT`")
else:
PYTORCH_DUMP_OUTPUT = sys.argv.pop()
TF_CONFIG = sys.argv.pop()
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
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]`")
else:
OPENAI_GPT_CHECKPOINT_FOLDER_PATH = sys.argv[2]
PYTORCH_DUMP_OUTPUT = sys.argv[3]
if len(sys.argv) == 5:
OPENAI_GPT_CONFIG = sys.argv[4]
else:
OPENAI_GPT_CONFIG = ""
convert_openai_checkpoint_to_pytorch(OPENAI_GPT_CHECKPOINT_FOLDER_PATH,
OPENAI_GPT_CONFIG,
PYTORCH_DUMP_OUTPUT)
elif sys.argv[1] == "transfo_xl":
try:
from .convert_transfo_xl_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 "
"https://www.tensorflow.org/install/ for installation instructions.")
raise
if len(sys.argv) < 4 or len(sys.argv) > 5:
# pylint: disable=line-too-long
print("Should be used as `pytorch_transformers transfo_xl TF_CHECKPOINT/TF_DATASET_FILE PYTORCH_DUMP_OUTPUT [TF_CONFIG]`")
else:
if 'ckpt' in sys.argv[2].lower():
TF_CHECKPOINT = sys.argv[2]
TF_DATASET_FILE = ""
else:
TF_DATASET_FILE = sys.argv[2]
TF_CHECKPOINT = ""
PYTORCH_DUMP_OUTPUT = sys.argv[3]
if len(sys.argv) == 5:
TF_CONFIG = sys.argv[4]
else:
TF_CONFIG = ""
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
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 "
"https://www.tensorflow.org/install/ for installation instructions.")
raise
if len(sys.argv) < 4 or len(sys.argv) > 5:
# pylint: disable=line-too-long
print("Should be used as `pytorch_transformers gpt2 TF_CHECKPOINT PYTORCH_DUMP_OUTPUT [TF_CONFIG]`")
else:
TF_CHECKPOINT = sys.argv[2]
PYTORCH_DUMP_OUTPUT = sys.argv[3]
if len(sys.argv) == 5:
TF_CONFIG = sys.argv[4]
else:
TF_CONFIG = ""
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
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 "
"https://www.tensorflow.org/install/ for installation instructions.")
raise
if len(sys.argv) < 5 or len(sys.argv) > 6:
# pylint: disable=line-too-long
print("Should be used as `pytorch_transformers xlnet TF_CHECKPOINT TF_CONFIG PYTORCH_DUMP_OUTPUT [FINETUNING_TASK_NAME]`")
else:
TF_CHECKPOINT = sys.argv[2]
TF_CONFIG = sys.argv[3]
PYTORCH_DUMP_OUTPUT = sys.argv[4]
if len(sys.argv) == 6:
FINETUNING_TASK = sys.argv[5]
else:
FINETUNING_TASK = None
convert_xlnet_checkpoint_to_pytorch(TF_CHECKPOINT,
TF_CONFIG,
PYTORCH_DUMP_OUTPUT,
FINETUNING_TASK)
elif sys.argv[1] == "xlm":
from .convert_xlm_checkpoint_to_pytorch import convert_xlm_checkpoint_to_pytorch
if len(sys.argv) != 4:
# pylint: disable=line-too-long
print("Should be used as `pytorch_transformers xlm XLM_CHECKPOINT_PATH PYTORCH_DUMP_OUTPUT`")
else:
XLM_CHECKPOINT_PATH = sys.argv[2]
PYTORCH_DUMP_OUTPUT = sys.argv[3]
convert_xlm_checkpoint_to_pytorch(XLM_CHECKPOINT_PATH, PYTORCH_DUMP_OUTPUT)
if __name__ == '__main__':
main()
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