mirror of
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>
110 lines
3.8 KiB
Python
Executable File
110 lines
3.8 KiB
Python
Executable File
#!/usr/bin/env python3
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# SPDX-FileCopyrightText: Copyright (c) 2022-2024 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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import pathlib as _pl
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import platform as _pf
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from build_engines_utils import run_command, wincopy
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def build_engine(weight_dir: _pl.Path, engine_dir: _pl.Path,
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has_tllm_checkpoint: bool):
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if not has_tllm_checkpoint:
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raise RuntimeError(
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'Convert checkpoint is not supported for ReDrafter. '
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'Provide a path that contains a checkpoint in the tllm_ckpt folder and set --has_tllm_checkpoint flag'
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)
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else:
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checkpoint_dir = weight_dir / 'tllm_ckpt'
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build_args = ["trtllm-build"] + (
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['--checkpoint_dir', str(checkpoint_dir)] if engine_dir else []) + [
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'--output_dir',
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str(engine_dir),
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'--gemm_plugin=float16',
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'--max_batch_size=8',
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'--max_input_len=64',
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'--max_seq_len=1024',
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'--log_level=error',
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'--paged_kv_cache=enable',
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'--remove_input_padding=enable',
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'--speculative_decoding_mode=explicit_draft_tokens',
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]
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run_command(build_args)
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def build_engines(model_cache: str, has_tllm_checkpoint: bool):
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resources_dir = _pl.Path(__file__).parent.resolve().parent
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models_dir = resources_dir / 'models'
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model_name = 'vicuna_redrafter'
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if has_tllm_checkpoint:
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base_model_name = 'vicuna-7b-v1.3'
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# FIXME(nkorobov): rename folder in the cache
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# model_name = 'redrafter-vicuna-7b-v1.3'
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if model_cache:
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print("Copy model from model_cache")
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model_cache_dir = _pl.Path(model_cache) / model_name
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assert model_cache_dir.is_dir()
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if has_tllm_checkpoint:
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base_model_cache_dir = _pl.Path(model_cache) / base_model_name
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assert base_model_cache_dir.is_dir()
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if _pf.system() == "Windows":
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wincopy(source=str(model_cache_dir),
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dest=model_name,
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isdir=True,
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cwd=models_dir)
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if has_tllm_checkpoint:
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wincopy(source=str(base_model_cache_dir),
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dest=base_model_name,
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isdir=True,
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cwd=models_dir)
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else:
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run_command(
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["rsync", "-av", str(model_cache_dir), "."], cwd=models_dir)
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if has_tllm_checkpoint:
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run_command(["rsync", "-av",
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str(base_model_cache_dir), "."],
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cwd=models_dir)
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model_dir = models_dir / model_name
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assert model_dir.is_dir()
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engine_dir = models_dir / 'rt_engine' / model_name
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print(f"\nBuilding fp16 engine")
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build_engine(model_dir, engine_dir / 'fp16-plugin-packed-paged/tp1-pp1-gpu',
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has_tllm_checkpoint)
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print("Done.")
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if __name__ == "__main__":
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parser = _arg.ArgumentParser()
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parser.add_argument("--model_cache",
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type=str,
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help="Directory where models are stored")
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parser.add_argument(
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"--has_tllm_checkpoint",
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action='store_true',
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help="True if the provided path contains the trt-llm checkpoint.")
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build_engines(**vars(parser.parse_args()))
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