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# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
#
# 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
from nemo.collections.llm import api
from nemo.utils import logging
def get_args():
parser = argparse.ArgumentParser(
description='Test evaluation with lm-eval-harness on nemo2 model deployed on PyTriton'
)
parser.add_argument('--nemo2_ckpt_path', type=str, help="NeMo 2.0 ckpt path")
parser.add_argument('--max_batch_size', type=int, help="Max BS for the model")
parser.add_argument(
'--trtllm_dir',
type=str,
help="Folder for the trt-llm conversion, trt-llm engine gets saved \
in this specified dir",
)
return parser.parse_args()
if __name__ == '__main__':
args = get_args()
try:
api.deploy(
nemo_checkpoint=args.nemo2_ckpt_path,
max_batch_size=args.max_batch_size,
triton_model_repository=args.trtllm_dir,
backend="trtllm",
)
except Exception as e:
logging.error(f"Deploy process encountered an error: {e}")
logging.info("Deploy process terminated.")
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