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| # Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. | |
| # Copyright 2022 The HuggingFace Team. All rights reserved. | |
| # | |
| # 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. | |
| """ PyTorch - Paddle general utilities.""" | |
| import re | |
| from .utils import logging | |
| logger = logging.get_logger(__name__) | |
| def rename_key(key): | |
| regex = r"\w+[.]\d+" | |
| pats = re.findall(regex, key) | |
| for pat in pats: | |
| key = key.replace(pat, "_".join(pat.split("."))) | |
| return key | |
| ##################### | |
| # PyTorch => Paddle # | |
| ##################### | |
| def rename_key_and_reshape_tensor(pt_tuple_key, pt_tensor, random_paddle_state_dict): | |
| """Rename PT weight names to corresponding Paddle weight names and reshape tensor if necessary""" | |
| # conv norm or layer norm | |
| renamed_pt_tuple_key = pt_tuple_key[:-1] + ("bias",) | |
| if ( | |
| any("norm" in str_ for str_ in pt_tuple_key) | |
| and (pt_tuple_key[-1] in ["bias", "beta"]) | |
| and (pt_tuple_key[:-1] + ("bias",) in random_paddle_state_dict) | |
| ): | |
| renamed_pt_tuple_key = pt_tuple_key[:-1] + ("bias",) | |
| return renamed_pt_tuple_key, pt_tensor | |
| elif pt_tuple_key[-1] in ["weight", "gamma"] and pt_tuple_key[:-1] + ("bias",) in random_paddle_state_dict: | |
| renamed_pt_tuple_key = pt_tuple_key[:-1] + ("bias",) | |
| return renamed_pt_tuple_key, pt_tensor | |
| # embedding | |
| if pt_tuple_key[-1] == "weight" and pt_tuple_key[:-1] + ("weight",) in random_paddle_state_dict: | |
| pt_tuple_key = pt_tuple_key[:-1] + ("weight",) | |
| return renamed_pt_tuple_key, pt_tensor | |
| # conv layer | |
| renamed_pt_tuple_key = pt_tuple_key[:-1] + ("weight",) | |
| if pt_tuple_key[-1] == "weight" and pt_tensor.ndim == 4: | |
| return renamed_pt_tuple_key, pt_tensor | |
| # linear layer | |
| renamed_pt_tuple_key = pt_tuple_key[:-1] + ("weight",) | |
| if pt_tuple_key[-1] == "weight": | |
| pt_tensor = pt_tensor.t() | |
| return renamed_pt_tuple_key, pt_tensor | |
| # old PyTorch layer norm weight | |
| renamed_pt_tuple_key = pt_tuple_key[:-1] + ("weight",) | |
| if pt_tuple_key[-1] == "gamma": | |
| return renamed_pt_tuple_key, pt_tensor | |
| # old PyTorch layer norm bias | |
| renamed_pt_tuple_key = pt_tuple_key[:-1] + ("bias",) | |
| if pt_tuple_key[-1] == "beta": | |
| return renamed_pt_tuple_key, pt_tensor | |
| return pt_tuple_key, pt_tensor | |
| def convert_pytorch_state_dict_to_paddle(pt_state_dict, paddle_model): | |
| # Step 1: Convert pytorch tensor to numpy | |
| pt_state_dict = {k: v.numpy() for k, v in pt_state_dict.items()} | |
| random_paddle_state_dict = paddle_model.state_dict | |
| paddle_state_dict = {} | |
| # Need to change some parameters name to match Paddle names | |
| for pt_key, pt_tensor in pt_state_dict.items(): | |
| renamed_pt_key = rename_key(pt_key) | |
| pt_tuple_key = tuple(renamed_pt_key.split(".")) | |
| # Correctly rename weight parameters | |
| paddle_key, paddle_tensor = rename_key_and_reshape_tensor(pt_tuple_key, pt_tensor, random_paddle_state_dict) | |
| if paddle_key in random_paddle_state_dict: | |
| if list(paddle_tensor.shape) != list(random_paddle_state_dict[paddle_key].shape): | |
| raise ValueError( | |
| f"Paddle checkpoint seems to be incorrect. Weight {pt_key} was expected to be of shape " | |
| f"{random_paddle_state_dict[paddle_key].shape}, but is {paddle_tensor.shape}." | |
| ) | |
| # also add unexpected weight so that warning is thrown | |
| paddle_state_dict[paddle_key] = paddle_tensor.numpy() | |
| return paddle_state_dict | |