-
Notifications
You must be signed in to change notification settings - Fork 12
/
Copy pathutils.py
35 lines (27 loc) · 1.3 KB
/
utils.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
#
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
#
from transformers import PreTrainedTokenizer
def text_to_token(tokenizer: PreTrainedTokenizer, text: str, last: bool):
tokens = tokenizer.encode(text, add_special_tokens=False)
if not last and len(tokens) > 2:
# Usually the first token indicates the beginning, and the second token is our main token
raise Exception(f"Can't convert {text} to token. It has {len(tokens)} tokens.")
return tokens[-1]
def get_new_line_tokens(tokenizer):
new_line_tokens = [token for token in tokenizer.get_vocab().values()
if tokenizer.decode(token).endswith("\n")]
return set(new_line_tokens)