Shawn001's picture
Upload 53 files
c2c125c
# 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.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")
group.add_argument('--task', type=str, default='segment',
choices=['classify', 'segment_setr', 'segment_segformer'],
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', type=str, default='default',
choices=['default', 'external', 'constrastive'],
help='Type of pretrained checkpoint')
group.add_argument("--pretrained-checkpoint", type=str, default=None,
help="Pretrained checkpoint used for finetunning.")
group.add_argument('--seg-stride', type=int, default=None,
help='sliding window stride during evaluation')
return parser
if __name__ == "__main__":
initialize_megatron(extra_args_provider=get_tasks_args)
args = get_args()
if args.task == 'classify':
from tasks.vision.classification.classification import main
main()
elif args.task == 'segment_setr':
from tasks.vision.segmentation.finetune_setr import main
main()
elif args.task == 'segment_segformer':
from tasks.vision.segmentation.finetune_segformer import main
main()