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126 lines
4.2 KiB
Python
126 lines
4.2 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from abc import ABC, abstractmethod
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from collections import OrderedDict
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from typing import List
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__all__ = ['TokenizerSpec']
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class TokenizerSpec(ABC):
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"""
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Inherit this class to implement a new tokenizer.
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"""
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@abstractmethod
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def text_to_tokens(self, text):
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"""Converts text into a list of tokens."""
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pass
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@abstractmethod
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def tokens_to_text(self, tokens):
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"""Converts a list of tokens back into text."""
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pass
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@abstractmethod
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def tokens_to_ids(self, tokens):
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"""Converts a list of tokens to their corresponding IDs."""
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pass
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@abstractmethod
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def ids_to_tokens(self, ids):
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"""Converts a list of token IDs back to tokens."""
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pass
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@abstractmethod
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def text_to_ids(self, text):
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"""Converts text directly to token IDs."""
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pass
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@abstractmethod
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def ids_to_text(self, ids):
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"""Converts token IDs back to text."""
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pass
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def add_special_tokens(self, special_tokens: List[str]):
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"""Adds special tokens (eos, pad, cls...) to vocab."""
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raise NotImplementedError("To be implemented")
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def apply_chat_template(self, *args, **kwargs):
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"""Appies chat template and tokenizes results"""
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raise NotImplementedError("To be implemented")
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@property
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def name(self):
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"""name of the class"""
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return type(self).__name__
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@property
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def unique_identifiers(self):
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"""Property required for use with megatron-core datasets."""
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return OrderedDict({"class": f"{type(self).__module__}.{type(self).__qualname__}"})
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@property
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def cls(self):
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"""Property alias to match MegatronTokenizer; returns cls_id if available."""
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if hasattr(self, 'cls_id'):
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return self.cls_id
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raise AttributeError(f"{type(self).__name__} has no attribute 'cls' or 'cls_id'")
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@property
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def sep(self):
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"""Property alias to match MegatronTokenizer; returns sep_id if available."""
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if hasattr(self, 'sep_id'):
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return self.sep_id
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raise AttributeError(f"{type(self).__name__} has no attribute 'sep' or 'sep_id'")
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@property
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def pad(self):
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"""Property alias to match MegatronTokenizer; returns pad_id if available."""
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if hasattr(self, 'pad_id'):
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return self.pad_id
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raise AttributeError(f"{type(self).__name__} has no attribute 'pad' or 'pad_id'")
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@property
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def eod(self):
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"""Property alias to match MegatronTokenizer; returns eod_id if available."""
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if hasattr(self, 'eod_id'):
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return self.eod_id
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if hasattr(self, 'eos_id'):
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# Default to end-of-sentence id if end-of-document is not defined.
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return self.eos_id
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raise AttributeError(f"{type(self).__name__} has no attribute 'eod', 'eod_id', 'eos', or 'eos_id'")
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@property
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def bos(self):
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"""Property alias to match MegatronTokenizer; returns bos_id if available."""
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if hasattr(self, 'bos_id'):
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return self.bos_id
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raise AttributeError(f"{type(self).__name__} has no attribute 'bos' or 'bos_id'")
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@property
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def eos(self):
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"""Property alias to match MegatronTokenizer; returns eos_id if available."""
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if hasattr(self, 'eos_id'):
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return self.eos_id
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raise AttributeError(f"{type(self).__name__} has no attribute 'eos' or 'eos_id'")
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@property
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def mask(self):
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"""Property alias to match MegatronTokenizer; returns mask_id if available."""
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if hasattr(self, 'mask_id'):
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return self.mask_id
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raise AttributeError(f"{type(self).__name__} has no attribute 'mask' or 'mask_id'")
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