I am a beginner to pytorch and DGL, and can anybody give any comments about the problem？ The code is downloaded from the tutorial website: https://github.com/THUDM/GCC
(GCC-double) chloe@chloe-MS-7A74:~/Documents/00 Work/02 Xovee/01 Code/GCC$ bash scripts/pretrain.sh 0 --batch-size 256
Using backend: pytorch
Namespace(alpha=0.999, aug='1st', batch_size=256, beta1=0.9, beta2=0.999, clip_norm=1.0, cv=False, dataset='dgl', degree_embedding_size=16, epochs=100, exp='Pretrain', finetune=False, fold_idx=0, freq_embedding_size=16, gpu=0, hidden_size=64, learning_rate=0.005, load_path=None, lr_decay_epochs=[120, 160, 200], lr_decay_rate=0.0, max_degree=512, max_edge_freq=16, max_node_freq=16, moco=False, model='gin', model_folder='saved/Pretrain_moco_False_dgl_gin_layer_5_lr_0.005_decay_1e-05_bsz_256_hid_64_samples_2000_nce_t_0.07_nce_k_32_rw_hops_256_restart_prob_0.8_aug_1st_ft_False_deg_16_pos_32_momentum_0.999', model_name='Pretrain_moco_False_dgl_gin_layer_5_lr_0.005_decay_1e-05_bsz_256_hid_64_samples_2000_nce_t_0.07_nce_k_32_rw_hops_256_restart_prob_0.8_aug_1st_ft_False_deg_16_pos_32_momentum_0.999', model_path='saved', momentum=0.9, nce_k=32, nce_t=0.07, norm=True, num_copies=6, num_layer=5, num_samples=2000, num_workers=12, optimizer='adam', positional_embedding_size=32, print_freq=10, readout='avg', restart_prob=0.8, resume='', rw_hops=256, save_freq=1, seed=0, set2set_iter=6, set2set_lstm_layer=3, subgraph_size=128, tb_folder='tensorboard/Pretrain_moco_False_dgl_gin_layer_5_lr_0.005_decay_1e-05_bsz_256_hid_64_samples_2000_nce_t_0.07_nce_k_32_rw_hops_256_restart_prob_0.8_aug_1st_ft_False_deg_16_pos_32_momentum_0.999', tb_freq=250, tb_path='tensorboard', weight_decay=1e-05)
Use GPU: 0 for training
setting random seeds
before construct dataset 5.3322601318359375
Traceback (most recent call last):
File "train.py", line 818, in <module>
main(args)
File "train.py", line 555, in main
num_copies=args.num_copies
File "/home/chloe/Documents/00 Work/02 Xovee/01 Code/GCC/gcc/datasets/graph_dataset.py", line 58, in __init__
graph_sizes = dgl.data.utils.load_labels(dgl_graphs_file)[
File "/home/chloe/anaconda3/envs/GCC-double/lib/python3.7/site-packages/dgl/data/graph_serialize.py", line 172, in load_labels
metadata = _CAPI_DGLLoadGraphs(filename, [], True)
File "dgl/_ffi/_cython/./function.pxi", line 287, in dgl._ffi._cy3.core.FunctionBase.__call__
File "dgl/_ffi/_cython/./function.pxi", line 222, in dgl._ffi._cy3.core.FuncCall
File "dgl/_ffi/_cython/./function.pxi", line 211, in dgl._ffi._cy3.core.FuncCall3
File "dgl/_ffi/_cython/./base.pxi", line 155, in dgl._ffi._cy3.core.CALL
dgl._ffi.base.DGLError: [09:27:42] /opt/dgl/src/graph/graph_serialize.cc:193: Check failed: fs: Filename is invalid
Stack trace:
[bt] (0) /home/chloe/anaconda3/envs/GCC-double/lib/python3.7/site-packages/dgl/libdgl.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x22) [0x7f3493849dc2]
[bt] (1) /home/chloe/anaconda3/envs/GCC-double/lib/python3.7/site-packages/dgl/libdgl.so(dgl::serialize::LoadDGLGraphs(std::string const&, std::vector<unsigned long, std::allocator<unsigned long> >, bool)+0xe7c) [0x7f3493eb549c]
[bt] (2) /home/chloe/anaconda3/envs/GCC-double/lib/python3.7/site-packages/dgl/libdgl.so(+0x829b2b) [0x7f3493eb5b2b]
[bt] (3) /home/chloe/anaconda3/envs/GCC-double/lib/python3.7/site-packages/dgl/libdgl.so(DGLFuncCall+0x52) [0x7f3493e50122]
[bt] (4) /home/chloe/anaconda3/envs/GCC-double/lib/python3.7/site-packages/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so(+0x19c5b) [0x7f3493481c5b]
[bt] (5) /home/chloe/anaconda3/envs/GCC-double/lib/python3.7/site-packages/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so(+0x1a1db) [0x7f34934821db]
[bt] (6) python(_PyObject_FastCallKeywords+0x48b) [0x559c6cfdd00b]
[bt] (7) python(_PyEval_EvalFrameDefault+0x49b6) [0x559c6d041186]
[bt] (8) python(_PyFunction_FastCallKeywords+0xfb) [0x559c6cfd520b]