sjtu-ipads / fgnn-artifacts Goto Github PK

After successfully installing all packages and doing data_preprocessing according to README.md, an error occurred when I run the scripts in README:
Command:
python samgraph/multi_gpu/train_gcn.py --dataset papers100M --num-train-worker 1 --num-sample-worker 1 --pipeline --cache-policy pre_sample --cache-percentage 0.1 --num-epoch 10 --batch-size 8000

Output:
Using backend: pytorch
config:eval_tsp="2022-05-08 08:19:49"
config:arch=arch5
config:num_train_worker=1
config:num_sample_worker=1
config:sample_type=khop2
config:root_path=/graph-learning/samgraph/
config:dataset=papers100M
config:pipeline=True
config:cache_policy=pre_sample
config:cache_percentage=0.1
config:num_epoch=11
config:batch_size=8000
config:num_hidden=256
config:max_sampling_jobs=10
config:max_copying_jobs=1
config:barriered_epoch=0
config:presample_epoch=1
config:omp_thread_num=40
config:fanout=[5, 10, 15]
config:lr=0.003
config:dropout=0.5
config:weight_decay=0.0005
config:single_gpu=False
config:validate_configs=False
config:dataset_path=/graph-learning/samgraph/papers100M
config:train_workers=['cuda:0']
config:sample_workers=['cuda:1']
config:num_fanout=3
config:num_layer=3
config:_run_mode=RunMode.FGNN
config:_log_level=error
config:_profile_level=0
config:_empty_feat=0
config:_arch=5
config:_sample_type=5
config:_cache_policy=2
ERROR: /root/gitclone/fgnn-artifacts/samgraph/common/common.cc:100] Check failed: (data) != ((void *)-1)
Aborted (core dumped)

After consulting the common.cc code, I know that this error is caused by the mmap() of file /graph-rearning/samgraph/papers100m/indptr.bin, but I don't know why.

Can you give me a hint on how to solve this problem, please? Thank you very much.

in my process of install dgl by dgl_install.sh, there are many errors.
and how does the CONDA_PREFIX works? i don't have this environment variable after i install anaconda