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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.')
-
- return parser
-
-
- if __name__ == '__main__':
-
- initialize_megatron(extra_args_provider=get_tasks_args)
-
- args = get_args()
- if args.task == 'RACE':
- from race.finetune import main
- elif args.task in ['MNLI', 'QQP']:
- from glue.finetune import main
- elif args.task in ['LAMBADA', 'WIKITEXT103']:
- from zeroshot_gpt2.evaluate import main
- else:
- raise NotImplementedError('Task {} is not implemented.'.format(
- args.task))
-
- main()
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