RuntimeError: cuda runtime error (38) : no CUDA-capable device is detected at ..\src\THC\THCGeneral.cpp:70 about aggcn

E:\Python\python.exe C:/Users/Bing/PycharmProjects/AGGCN-master/train.py --id 1 --seed 0 --hidden_dim 300 --lr 0.7 --rnn_hidden 300 --num_epoch 100 --pooling max --mlp_layers 1 --num_layers 2 --pooling_l2 0.002
Vocab size 375 loaded from file
Loading data_dir from dataset/tacred with batch size 50...
1 batches created for dataset/tacred/train.json
1 batches created for dataset/tacred/dev.json
Config saved to file ./saved_models/01/config.json
Overwriting old vocab_dir file at ./saved_models/01/vocab_dir.pkl

Running with the following configs:
data_dir : dataset/tacred
vocab_dir : dataset/vocab_dir
emb_dim : 300
ner_dim : 30
pos_dim : 30
hidden_dim : 300
num_layers : 2
input_dropout : 0.5
gcn_dropout : 0.5
word_dropout : 0.04
topn : 10000000000.0
lower : False
heads : 3
sublayer_first : 2
sublayer_second : 4
pooling : max
pooling_l2 : 0.002
mlp_layers : 1
no_adj : False
rnn : True
rnn_hidden : 300
rnn_layers : 1
rnn_dropout : 0.5
lr : 0.7
lr_decay : 0.9
decay_epoch : 5
optim : sgd
num_epoch : 100
batch_size : 50
max_grad_norm : 5.0
log_step : 20
log : logs.txt
save_epoch : 100
save_dir : ./saved_models
id : 1
info :
seed : 0
cuda : False
cpu : False
load : False
model_file : None
num_class : 42
vocab_size : 375
model_save_dir : ./saved_models/01

Finetune all embeddings.
E:\Python\lib\site-packages\torch\nn\modules\rnn.py:38: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.5 and num_layers=1
"num_layers={}".format(dropout, num_layers))
THCudaCheck FAIL file=..\src\THC\THCGeneral.cpp line=70 error=38 : no CUDA-capable device is detected
Traceback (most recent call last):
File "C:/Users/Bing/PycharmProjects/AGGCN-master/train.py", line 119, in
trainer = GCNTrainer(opt, emb_matrix=emb_matrix)
File "C:\Users\Bing\PycharmProjects\AGGCN-master\model\trainer.py", line 67, in init
self.model = GCNClassifier(opt, emb_matrix=emb_matrix)
File "C:\Users\Bing\PycharmProjects\AGGCN-master\model\aggcn.py", line 22, in init
self.gcn_model = GCNRelationModel(opt, emb_matrix=emb_matrix)
File "C:\Users\Bing\PycharmProjects\AGGCN-master\model\aggcn.py", line 47, in init
self.gcn = AGGCN(opt, embeddings)
File "C:\Users\Bing\PycharmProjects\AGGCN-master\model\aggcn.py", line 129, in init
self.layers.append(GraphConvLayer(opt, self.mem_dim, self.sublayer_first))
File "C:\Users\Bing\PycharmProjects\AGGCN-master\model\aggcn.py", line 205, in init
self.weight_list = self.weight_list.cuda()
File "E:\Python\lib\site-packages\torch\nn\modules\module.py", line 249, in cuda
return self._apply(lambda t: t.cuda(device))
File "E:\Python\lib\site-packages\torch\nn\modules\module.py", line 176, in _apply
module._apply(fn)
File "E:\Python\lib\site-packages\torch\nn\modules\module.py", line 182, in _apply
param.data = fn(param.data)
File "E:\Python\lib\site-packages\torch\nn\modules\module.py", line 249, in
return self._apply(lambda t: t.cuda(device))
RuntimeError: cuda runtime error (38) : no CUDA-capable device is detected at ..\src\THC\THCGeneral.cpp:70

Process finished with exit code 1

[Cartus]

THCudaCheck FAIL file=..\src\THC\THCGeneral.cpp line=70 error=38 : no CUDA-capable device is detected
Traceback (most recent call last):

Which means you did not run the model on a device with GPU. Our model requires Pytorch with the GPU version. Maybe you can consider running it by using AWS or other similar services.