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main.py
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main.py
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# coding=utf-8
# Copyright (c) 2021, EleutherAI contributors
# This file is based on code by the authors denoted below and has been modified from its original version.
#
# 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:https://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__':
raise NotImplementedError("The neox codebase has been refactored. The task code needs to be adapted to the new codebase.")
#neox_args = NeoXArgs.from_ymls(["configs/small.yml", "configs/local_setup.yml", "configs/text_generation.yml"]) #TODO remove_global_vars could also load from checkpoint here
#neox_args.build_tokenizer() #TODO remove global vars
# TODO remove_global_vars initialized from command line args?
#neox_args = NeoXArgs.consume_neox_args()
initialize_megatron(extra_args_provider=get_tasks_args)
args = get_args() # TODO remove_global_vars
if args.task in ['LAMBADA', 'WIKITEXT103']:
from zeroshot_gpt2.evaluate import main
else:
raise NotImplementedError('Task {} is not implemented.'.format(
args.task))
main()