mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
89 lines
3.2 KiB
Python
89 lines
3.2 KiB
Python
#!/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 pathlib as _pl
|
|
import platform as _pf
|
|
import sys as _sys
|
|
|
|
from build_engines_utils import run_command, wincopy
|
|
|
|
|
|
def build_engine(weight_dir: _pl.Path, engine_dir: _pl.Path, *args):
|
|
build_args = [_sys.executable, "examples/llama/build.py"] + (
|
|
['--model_dir', str(weight_dir)] if weight_dir else []) + [
|
|
'--output_dir',
|
|
str(engine_dir), '--dtype=float16',
|
|
'--use_gpt_attention_plugin=float16', '--use_custom_all_reduce',
|
|
'--use_gemm_plugin=float16', '--max_batch_size=32',
|
|
'--max_input_len=40', '--max_output_len=20', '--max_beam_width=2',
|
|
'--log_level=error', '--use_inflight_batching', '--paged_kv_cache',
|
|
'--remove_input_padding'
|
|
] + list(args)
|
|
run_command(build_args)
|
|
|
|
|
|
def build_engines(model_cache: str, only_multi_gpu: bool):
|
|
resources_dir = _pl.Path(__file__).parent.resolve().parent
|
|
models_dir = resources_dir / 'models'
|
|
model_name = 'llama-7b-hf'
|
|
|
|
if model_cache:
|
|
print("Copy model from model_cache")
|
|
model_cache_dir = _pl.Path(model_cache) / 'llama-models' / model_name
|
|
assert (model_cache_dir.is_dir())
|
|
|
|
if _pf.system() == "Windows":
|
|
wincopy(source=str(model_cache_dir),
|
|
dest=model_name,
|
|
isdir=True,
|
|
cwd=models_dir)
|
|
else:
|
|
run_command(
|
|
["rsync", "-av", str(model_cache_dir), "."], cwd=models_dir)
|
|
|
|
hf_dir = models_dir / model_name
|
|
assert hf_dir.is_dir()
|
|
|
|
engine_dir = models_dir / 'rt_engine' / model_name
|
|
|
|
tp_pp_sizes = [(1, 1)]
|
|
if only_multi_gpu:
|
|
tp_pp_sizes = [(1, 4), (4, 1), (2, 2)]
|
|
for tp_size, pp_size in tp_pp_sizes:
|
|
tp_pp_dir = f"tp{tp_size}-pp{pp_size}-gpu"
|
|
world_size = tp_size * pp_size
|
|
print(f"\nBuilding fp16 tp{tp_size} pp{pp_size} engine")
|
|
build_engine(hf_dir,
|
|
engine_dir / f'fp16-plugin-packed-paged/{tp_pp_dir}',
|
|
f'--world_size={world_size}', f'--tp_size={tp_size}',
|
|
f'--pp_size={pp_size}')
|
|
|
|
print("Done.")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = _arg.ArgumentParser()
|
|
parser.add_argument("--model_cache",
|
|
type=str,
|
|
help="Directory where models are stored")
|
|
parser.add_argument(
|
|
"--only_multi_gpu",
|
|
action="store_true",
|
|
help="Flag to build only for Tensor and Pipeline parallelism")
|
|
|
|
build_engines(**vars(parser.parse_args()))
|