# coding=utf-8 # Copyright (c) 2019, 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()