peacock-data-public-datasets-idc-mint
/
docker
/intel_code
/llama13b
/Megatron-DeepSpeed
/tasks
/msdp
/main.py
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. | |
"""Run multi-stage dialogue prompting (MSDP).""" | |
import os | |
import sys | |
sys.path.append(os.path.abspath(os.path.join( | |
os.path.join(os.path.dirname(__file__), os.path.pardir), os.path.pardir))) | |
from megatron import get_args | |
from megatron.initialize import initialize_megatron | |
def get_tasks_args(parser): | |
"""Provide extra arguments required for tasks.""" | |
group = parser.add_argument_group(title='tasks') | |
# parameters for the knowledgeable dialogue generation | |
group.add_argument('--task', type=str, required=True, | |
help='Task name.') | |
group.add_argument("--sample-input-file", type=str, default=None, | |
help='Get input from file instead of interactive mode, ' | |
'each line is an input.') | |
group.add_argument("--sample-output-file", type=str, default=None, | |
help='Output file got from --sample-input-file') | |
group.add_argument('--prompt-file', type=str, default=None, | |
help='prompting file') | |
group.add_argument('--prompt-type', type=str, default=None, | |
choices=['knowledge', 'response'], | |
help='prompt type (knowledge or response)') | |
group.add_argument('--num-prompt-examples', type=int, default=10, | |
help='number of prompt examples') | |
group.add_argument('--guess-file', type=str, default=None, | |
help='datapath for generated sentences') | |
group.add_argument('--answer-file', type=str, default=None, | |
help='datapath for golden sentences') | |
group.add_argument('--out-seq-length', type=int, default=100, | |
help='output sequence length') | |
group.add_argument('--api-prompt', default=False, action="store_true", | |
help='setup model api for prompting') | |
group.add_argument('--megatron-api-url', type=str, default=None, | |
help='url of the megatron api') | |
return parser | |
if __name__ == '__main__': | |
initialize_megatron(extra_args_provider=get_tasks_args) | |
args = get_args() | |
if args.num_layers_per_virtual_pipeline_stage is not None: | |
print("Interleaved pipeline schedule is not yet supported for downstream tasks.") | |
exit() | |
if args.task == 'MSDP-PROMPT': | |
from tasks.msdp.prompt import main | |
elif args.task == 'MSDP-EVAL-F1': | |
from tasks.msdp.evaluate import main | |
else: | |
raise NotImplementedError('Task {} is not implemented.'.format( | |
args.task)) | |
main() | |