mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
31ac30e928
* Update TensorRT-LLM --------- Co-authored-by: Sherlock Xu <65327072+Sherlock113@users.noreply.github.com>
91 lines
2.8 KiB
Python
91 lines
2.8 KiB
Python
#!/usr/bin/env python3
|
|
# SPDX-FileCopyrightText: Copyright (c) 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
|
|
from pathlib import Path
|
|
|
|
import run
|
|
from build_engines_utils import init_model_spec_module
|
|
|
|
init_model_spec_module()
|
|
import os
|
|
|
|
import model_spec
|
|
|
|
import tensorrt_llm.bindings as _tb
|
|
|
|
|
|
def generate_output(engine: str,
|
|
model_spec_obj: model_spec.ModelSpec,
|
|
max_output_len: int = 8):
|
|
|
|
model = 'vicuna-7b-redrafter'
|
|
hf_model = 'vicuna-7b-v1.3'
|
|
resources_dir = Path(__file__).parent.resolve().parent
|
|
models_dir = resources_dir / 'models'
|
|
hf_dir = models_dir / hf_model
|
|
tp_pp_dir = 'tp1-pp1-gpu/'
|
|
engine_dir = models_dir / 'rt_engine' / model / engine / tp_pp_dir
|
|
|
|
data_dir = resources_dir / 'data'
|
|
input_filename = model_spec_obj.get_input_file()
|
|
input_file = data_dir / input_filename
|
|
model_data_dir = data_dir / model
|
|
output_dir = model_data_dir / 'sampling'
|
|
|
|
base_output_name = os.path.splitext(model_spec_obj.get_results_file())[0]
|
|
|
|
args = run.parse_arguments([
|
|
'--engine_dir',
|
|
str(engine_dir),
|
|
'--input_file',
|
|
str(input_file),
|
|
'--tokenizer_dir',
|
|
str(hf_dir),
|
|
'--output_npy',
|
|
str(output_dir / (base_output_name + '.npy')),
|
|
'--output_csv',
|
|
str(output_dir / (base_output_name + '.csv')),
|
|
'--max_output_len',
|
|
str(max_output_len),
|
|
'--use_py_session',
|
|
])
|
|
run.main(args)
|
|
print(f"Output saved at {str(output_dir / base_output_name)}.[npy|csv]")
|
|
|
|
|
|
def generate_outputs():
|
|
print(f'Generating outputs for ReDrafter FP16')
|
|
max_output_len = 128
|
|
model_spec_obj = model_spec.ModelSpec('input_vicuna.npy', _tb.DataType.HALF)
|
|
model_spec_obj.use_gpt_plugin()
|
|
model_spec_obj.set_max_output_length(max_output_len)
|
|
model_spec_obj.use_packed_input()
|
|
model_spec_obj.set_kv_cache_type(_tb.KVCacheType.PAGED)
|
|
model_spec_obj.use_explicit_draft_tokens_decoding()
|
|
|
|
generate_output(engine=model_spec_obj.get_model_path(),
|
|
model_spec_obj=model_spec_obj,
|
|
max_output_len=max_output_len)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
parser = _arg.ArgumentParser()
|
|
args = parser.parse_args()
|
|
|
|
generate_outputs()
|
|
print("Done")
|