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https://github.com/NVIDIA/TensorRT-LLM.git
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2d234357c6
* Update TensorRT-LLM --------- Co-authored-by: Altair-Alpha <62340011+Altair-Alpha@users.noreply.github.com>
70 lines
2.1 KiB
Python
70 lines
2.1 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 as _arg
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from pathlib import Path
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import run
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def generate_output(engine: str, output_name: str, max_output_len: int = 8):
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# FIXME(nkorobov): rename model in the model cache dir
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model = 'vicuna_redrafter'
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resources_dir = Path(__file__).parent.resolve().parent
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models_dir = resources_dir / 'models'
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hf_dir = models_dir / 'vicuna-7b-v1.3'
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tp_pp_dir = 'tp1-pp1-gpu/'
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engine_dir = models_dir / 'rt_engine' / model / engine / tp_pp_dir
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data_dir = resources_dir / 'data'
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input_file = data_dir / 'input_vicuna.npy'
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model_data_dir = data_dir / model
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output_dir = model_data_dir / 'sampling'
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output_name += '_tp1_pp1'
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args = run.parse_arguments([
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'--engine_dir',
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str(engine_dir),
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'--input_file',
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str(input_file),
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'--tokenizer_dir',
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str(hf_dir),
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'--output_npy',
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str(output_dir / (output_name + '.npy')),
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'--output_csv',
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str(output_dir / (output_name + '.csv')),
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'--max_output_len',
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str(max_output_len),
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'--use_py_session',
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])
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run.main(args)
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def generate_outputs():
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print(f'Generating outputs for FP16')
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generate_output(engine='fp16-plugin-packed-paged',
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output_name='output_tokens_long_fp16_plugin_packed_paged',
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max_output_len=128)
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if __name__ == '__main__':
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parser = _arg.ArgumentParser()
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args = parser.parse_args()
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generate_outputs()
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print("Done")
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