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main.py
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main.py
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# coding=utf-8
# Copyright (c) 2020, 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.
"""Main tasks functionality."""
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__),
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')
group.add_argument('--task', type=str, required=True,
help='Task name.')
group.add_argument('--epochs', type=int, default=None,
help='Number of finetunning epochs. Zero results in '
'evaluation only.')
group.add_argument('--pretrained-checkpoint', type=str, default=None,
help='Pretrained checkpoint used for finetunning.')
group.add_argument('--keep-last', action='store_true',
help='Keep the last batch (maybe incomplete) in'
'the data loader')
group.add_argument('--train-data', nargs='+', default=None,
help='Whitespace separated paths or corpora names '
'for training.')
group.add_argument('--valid-data', nargs='*', default=None,
help='path(s) to the validation data.')
group.add_argument('--overlapping-eval', type=int, default=32,
help='Sliding window for overlapping evaluation.')
group.add_argument('--strict-lambada', action='store_true',
help='Use more difficult formulation of lambada.')
# Retriever args
group.add_argument('--qa-data-dev', type=str, default=None,
help='Path to the QA dataset dev file.')
group.add_argument('--qa-data-test', type=str, default=None,
help='Path to the QA dataset test file.')
# Faiss arguments for retriever
group.add_argument('--faiss-use-gpu', action='store_true',
help='Whether create the FaissMIPSIndex on GPU')
group.add_argument('--faiss-match', type=str, default='string', \
choices=['regex', 'string'], help="Answer matching '\
'logic type")
group.add_argument('--faiss-topk-retrievals', type=int, default=100,
help='Number of blocks to use as top-k during retrieval')
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 == 'RACE':
from race.finetune import main
elif args.task in ['MNLI', 'QQP', 'QNLI', 'SST-2', 'CoLA', 'STS-B', 'MRPC', 'RTE']:
from glue.finetune import main
elif args.task in ['LAMBADA', 'WIKITEXT103']:
from zeroshot_gpt.evaluate import main
elif args.task in ['ICT-ZEROSHOT-NQ']:
from orqa.evaluate_orqa import main
else:
raise NotImplementedError('Task {} is not implemented.'.format(
args.task))
main()