张同学：
您好~我在运行您的代码时遇到以下错误：
Namespace(batch_size=128, channels=200, dataset='FB15k-237', decoder='distmult', dropout_rate=0.2, embedding_dim=200, eval_every=1, final_act=False, final_bn=False, final_drop=False, gamma=9.0, gc1_emb_size=150, gpu=0, init_emb_size=100, input_dropout=0, kernel_size=5, lr=0.002, n_epochs=5000, n_layer=2, name='debug', num_workers=2, patience=100, rat=False, seed=12345, ss=-1, wni=False, wsi=False)

entities: 14541

relations: 237

edges: 272115

14541 475
Graph(num_nodes=14541, num_edges=558771,
ndata_schemes={}
edata_schemes={})
start training...
Traceback (most recent call last):
File "E:/MLingual/second/GCN4KGC-main/WGCN/run.py", line 485, in
main(args)
File "E:/MLingual/second/GCN4KGC-main/WGCN/run.py", line 395, in main
pred = model.forward(g, all_rel, e1_batch, rel_batch, entity_id)
File "E:/MLingual/second/GCN4KGC-main/WGCN/run.py", line 223, in forward
e1_embedded = e1_embedded_all[e1]
IndexError: tensors used as indices must be long, byte or bool tensors

请问该如何解决？

RuntimeError: CUDA error: CUBLAS_STATUS_INTERNAL_ERROR when calling cublasCreate(handle)