mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
d8b408e6dc
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
113 lines
3.3 KiB
Python
Executable File
113 lines
3.3 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
# SPDX-FileCopyrightText: Copyright (c) 2022-2023 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.
|
|
|
|
import argparse as _arg
|
|
import os as _os
|
|
import pathlib as _pl
|
|
import subprocess as _sp
|
|
import sys
|
|
import typing as _tp
|
|
from glob import glob as _glob
|
|
|
|
import torch.multiprocessing as _mp
|
|
|
|
resources_dir = _pl.Path(
|
|
__file__).parent.parent.parent.parent.parent / "examples/chatglm2-6b"
|
|
sys.path.insert(0, str(resources_dir))
|
|
|
|
engine_target_path = _pl.Path(
|
|
__file__).parent.parent / "models/rt_engine/chatglm2-6b"
|
|
|
|
import build as _ecb
|
|
|
|
|
|
def build_engine(weight_dir: _pl.Path, engine_dir: _pl.Path, world_size, *args):
|
|
args = [
|
|
'--log_level=error',
|
|
'--model_dir',
|
|
str(weight_dir),
|
|
'--output_dir',
|
|
str(engine_dir),
|
|
'--max_batch_size=2',
|
|
'--max_beam_width=2',
|
|
'--builder_opt=0',
|
|
f'--world_size={world_size}',
|
|
] + list(args)
|
|
print("Running: " + " ".join(args))
|
|
_ecb.run_build(args)
|
|
|
|
|
|
def run_command(command: _tp.Sequence[str], *, cwd=None, **kwargs) -> None:
|
|
|
|
command = [str(i) for i in command]
|
|
print(f"Running: cd %s && %s" %
|
|
(str(cwd or _pl.Path.cwd()), " ".join(command)))
|
|
_sp.check_call(command, cwd=cwd, **kwargs)
|
|
|
|
|
|
def build_engines(model_cache: _tp.Optional[str] = None, world_size: int = 1):
|
|
|
|
# Clone the model directory
|
|
hf_dir = resources_dir / "pyTorchModel"
|
|
trt_dir = resources_dir / "trtModel"
|
|
|
|
run_command(
|
|
["pip", "install", "-r",
|
|
str(resources_dir) + "/requirements.txt"],
|
|
cwd=resources_dir)
|
|
|
|
if not _os.path.exists(hf_dir):
|
|
_os.mkdir(hf_dir)
|
|
|
|
if len(_glob(str(hf_dir) + "/*")) == 0:
|
|
run_command(
|
|
[
|
|
"git",
|
|
"clone",
|
|
"https://huggingface.co/THUDM/chatglm2-6b",
|
|
hf_dir,
|
|
],
|
|
cwd=resources_dir,
|
|
)
|
|
|
|
print("\nBuilding engine")
|
|
build_engine(hf_dir, trt_dir, world_size, "--dtype", "float16",
|
|
"--use_gpt_attention_plugin", "float16", "--use_gemm_plugin",
|
|
"float16")
|
|
|
|
if not _os.path.exists(str(engine_target_path)):
|
|
_os.system(f"mkdir -p {str(engine_target_path)}")
|
|
|
|
_os.system(f"cp -r {str(trt_dir) + '/*'} {engine_target_path}")
|
|
|
|
print("Done.")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = _arg.ArgumentParser()
|
|
parser.add_argument("--model_cache",
|
|
type=str,
|
|
help="Directory where models are stored")
|
|
|
|
parser.add_argument('--world_size',
|
|
type=int,
|
|
default=1,
|
|
help='world size, only support tensor parallelism now')
|
|
|
|
_mp.set_start_method("spawn")
|
|
|
|
build_engines(**vars(parser.parse_args()))
|