mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
deaae40bd7
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
125 lines
4.0 KiB
Python
Executable File
125 lines
4.0 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 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 pathlib as _pl
|
|
import shutil as _shutil
|
|
import subprocess as _sp
|
|
import sys
|
|
import typing as _tp
|
|
from pathlib import Path as _Path
|
|
|
|
import torch.multiprocessing as _mp
|
|
|
|
resources_dir = _pl.Path(
|
|
__file__).parent.parent.parent.parent.parent / "examples/chatglm"
|
|
sys.path.insert(0, str(resources_dir))
|
|
|
|
engine_target_path = _pl.Path(__file__).parent.parent / "models/rt_engine"
|
|
|
|
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',
|
|
"--max_input_len=512",
|
|
"--max_output_len=512",
|
|
'--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):
|
|
|
|
model_name_list = ["chatglm_6b", "chatglm2_6b", "chatglm3_6b"]
|
|
hf_dir_list = [resources_dir / model_name for model_name in model_name_list]
|
|
trt_dir_list = [
|
|
resources_dir / ("output_" + model_name)
|
|
for model_name in model_name_list
|
|
]
|
|
|
|
run_command(
|
|
["pip", "install", "-r",
|
|
str(resources_dir) + "/requirements.txt"],
|
|
cwd=resources_dir)
|
|
|
|
# chatglm needs 4.33.1 in case of tokenizer issues
|
|
# AttributeError: 'ChatGLMTokenizer' object has no attribute 'sp_tokenizer'. Did you mean: '_tokenize'?
|
|
run_command(["pip", "install", "--force-reinstall", "transformers==4.33.1"],
|
|
cwd=resources_dir)
|
|
|
|
# Clone the model directory
|
|
for model_name, hf_dir in zip(model_name_list, hf_dir_list):
|
|
if not _Path(hf_dir).exists():
|
|
run_command(
|
|
[
|
|
"git",
|
|
"clone",
|
|
"https://huggingface.co/THUDM/" +
|
|
model_name.replace("_", "-"),
|
|
model_name,
|
|
],
|
|
cwd=resources_dir,
|
|
)
|
|
|
|
print("\nBuilding engines")
|
|
for model_name, hf_dir, trt_dir in zip(model_name_list, hf_dir_list,
|
|
trt_dir_list):
|
|
print("Building %s" % model_name)
|
|
build_engine(hf_dir, trt_dir, world_size)
|
|
|
|
if not _Path(engine_target_path).exists():
|
|
_Path(engine_target_path).mkdir(parents=True, exist_ok=True)
|
|
for model_name in model_name_list:
|
|
_shutil.move(
|
|
_Path(resources_dir) / ("output_" + model_name),
|
|
engine_target_path / model_name)
|
|
|
|
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()))
|