Hi everyone,  I encountered an strange error today…  A RuntimeError: CUDA error: an illegal memory access was encountered pops up at torch.cuda.empty_cache().
Even more peculiarly, this issue comes out at the 39th epoch of a training session…  How could that be?
Info:
Traceback (most recent call last):
  File "build_model_and_train.py", line 206, in <module>
    train_loss, train_acc = train()
  File "build_model_and_train.py", line 105, in train
    torch.cuda.empty_cache()
  File "/public/workspace/z/miniconda3/envs/ST-Torch/lib/python3.7/site-packages/torch/cuda/memory.py", line 35, in empty_cache
    torch._C._cuda_emptyCache()

Code snippet:
def train():  
    model.train()
    loss_all=0
    correct = 0
    for i, data in enumerate(train_loader, 0):
        torch.cuda.empty_cache()   # This is where the issue lies!
        data = data.to(device)
        optimizer.zero_grad()
        output = model(data.x, data.batch)
        torch.cuda.empty_cache()  # This is not where the issue lies.
        label = data.y.to(device)
        loss = loss_func(output, label)
        loss.backward()
        loss_all += loss.item()
        
        output = output.detach().cpu().numpy().squeeze()
        label = label.detach().cpu().numpy().squeeze()        
        correct += (abs(output-label)<0.5).sum()
        
        optimizer.step()
        
    return loss_all / len(train_dataset), correct / len(train_dataset)

## Start training
# Omitted dataset generation, DataLoader, and initial setup
os.environ["CUDA_VISIBLE_DEVICES"] = '2'
......
device = torch.device('cuda')
edge_index = edge_index.to(device)
model = GCN().to(device)
optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate, weight_decay = l2_reg)
loss_func = torch.nn.BCELoss()  # binary cross-entropy
train_loader = DataLoader(train_dataset, batch_size=batch_size, drop_last = True)
val_loader = DataLoader(val_dataset, batch_size=batch_size)
for epoch in range(num_epochs):
    gc.collect()
    torch.cuda.empty_cache()  # Yes I put this everywhere because I am suffering from OOMs...
    train_loss, train_acc = train()