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52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
#!/usr/bin/env python3
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# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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import argparse
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import json
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import os
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from pathlib import Path
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from transformers import AutoTokenizer
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from tensorrt_llm.llmapi.tokenizer import _xgrammar_tokenizer_info
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def generate_xgrammar_tokenizer_info(args):
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tokenizer = AutoTokenizer.from_pretrained(str(args.model_dir))
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tokenizer_info = _xgrammar_tokenizer_info(tokenizer)
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os.makedirs(args.output_dir, exist_ok=True)
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with open(str(args.output_dir / "xgrammar_tokenizer_info.json"), 'w') as f:
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json.dump(tokenizer_info, f)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--model_dir',
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type=Path,
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default=None,
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required=True,
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help="HF model directory")
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parser.add_argument(
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'--output_dir',
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type=Path,
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default=None,
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required=True,
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help="File path to save xgrammar's info. in json format")
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args = parser.parse_args()
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generate_xgrammar_tokenizer_info(args)
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