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dgl_to_spark_data.py
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dgl_to_spark_data.py
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# Copyright 2023 Yuhao Zhang and Arun Kumar. 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.
# ==============================================================================
from gsys.data import Dataset
from gsys.constants import lg_products_dataset
from gsys.constants import constants
from gsys.all_args import get_all_args
import os
import torch
torch.manual_seed(constants.SEED)
# class args(object):
# GNAME = 'ogbn-products'
# MASKS = ['all_mask', 'train_mask', 'valid_mask', 'test_mask']
# NTYPES = ['train', 'valid', 'test']
# HOSTS = os.environ['ALL_HOSTS_DIR']
# dataset = GNAME
# self_loop = True
# cats = lg_products_dataset
# nine_one_random_split = True
if __name__ == "__main__":
args = get_all_args()
dataset = Dataset(args)
dataset.read_dataset()
dataset.dump_spark()