mirror of
https://github.com/wassname/Clover-Edition.git
synced 2026-08-21 11:09:32 +08:00
111 lines
3.8 KiB
Python
111 lines
3.8 KiB
Python
# coding=utf-8
|
|
# Copyright 2018 The HuggingFace Inc. team.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
"""Convert OpenAI GPT checkpoint."""
|
|
|
|
from __future__ import absolute_import, division, print_function
|
|
|
|
import argparse
|
|
from io import open
|
|
|
|
import torch
|
|
|
|
from transformers import (
|
|
CONFIG_NAME,
|
|
WEIGHTS_NAME,
|
|
GPT2Config,
|
|
GPT2Model,
|
|
load_tf_weights_in_gpt2,
|
|
)
|
|
|
|
import logging
|
|
|
|
logging.basicConfig(level=logging.INFO)
|
|
|
|
|
|
def convert_gpt2_checkpoint_to_pytorch(
|
|
gpt2_checkpoint_path, gpt2_config_file, pytorch_dump_folder_path
|
|
):
|
|
# Construct model
|
|
if gpt2_config_file == "":
|
|
config = GPT2Config()
|
|
else:
|
|
config = GPT2Config.from_json_file(gpt2_config_file)
|
|
model = GPT2Model(config)
|
|
|
|
# Load weights from numpy
|
|
load_tf_weights_in_gpt2(model, config, gpt2_checkpoint_path)
|
|
|
|
# Save pytorch-model
|
|
pytorch_weights_dump_path = pytorch_dump_folder_path + "/" + WEIGHTS_NAME
|
|
pytorch_config_dump_path = pytorch_dump_folder_path + "/" + CONFIG_NAME
|
|
print("Save PyTorch model to {}".format(pytorch_weights_dump_path))
|
|
torch.save(model.state_dict(), pytorch_weights_dump_path)
|
|
|
|
print("Save configuration file to {}".format(pytorch_config_dump_path))
|
|
with open(pytorch_config_dump_path, "w", encoding="utf-8") as f:
|
|
f.write(config.to_json_string())
|
|
|
|
# Also save as half precision to save transfer, loading, and inference time and memory
|
|
pytorch_weights_dump_path += 'half'
|
|
model.half()
|
|
torch.save(model.state_dict(), pytorch_weights_dump_path)
|
|
with open(pytorch_config_dump_path "w", encoding="utf-8") as f:
|
|
f.write(config.to_json_string())
|
|
print("Save configuration file to {}".format(pytorch_config_dump_path))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = argparse.ArgumentParser()
|
|
## Required parameters
|
|
parser.add_argument(
|
|
"--gpt2_checkpoint_path",
|
|
default=None,
|
|
type=str,
|
|
required=True,
|
|
help="Path to the TensorFlow checkpoint path.",
|
|
)
|
|
parser.add_argument(
|
|
"--pytorch_dump_folder_path",
|
|
default=None,
|
|
type=str,
|
|
required=True,
|
|
help="Path to the output PyTorch model.",
|
|
)
|
|
parser.add_argument(
|
|
"--gpt2_config_file",
|
|
default="",
|
|
type=str,
|
|
help="An optional config json file corresponding to the pre-trained OpenAI model. \n"
|
|
"This specifies the model architecture.",
|
|
)
|
|
args = parser.parse_args()
|
|
convert_gpt2_checkpoint_to_pytorch(
|
|
args.gpt2_checkpoint_path, args.gpt2_config_file, args.pytorch_dump_folder_path
|
|
)
|
|
|
|
|
|
"""
|
|
download aidungeon2 v5 model from this torrent or elsewhere
|
|
- magnet:?xt=urn:btih:b343b83b35bff774dab13e0281ce13b3daf37d3e&dn=model_v5&tr=udp%3a%2f%2ftracker.coppersurfer.tk%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.leechers-paradise.org%3a6969%2fannounce
|
|
export OPENAI_GPT2_CHECKPOINT_PATH=../generator/gpt2/models/model_v5
|
|
export PYTORCH_DUMP_OUTPUT=../generator/gpt2/models/model_v5_pytorch
|
|
python convert_gpt2_model.py \
|
|
--gpt2_checkpoint_path $OPENAI_GPT2_CHECKPOINT_PATH \
|
|
--pytorch_dump_folder_path $PYTORCH_DUMP_OUTPUT \
|
|
--gpt2_config_file ./aidungeonv2_model_v5_config.json
|
|
wget https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-xl-merges.txt -o $PYTORCH_DUMP_OUTPUT/merges.txt
|
|
wget https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-xl-vocab.json -o $PYTORCH_DUMP_OUTPUT/vocab.json
|
|
"""
|