pytorch“试图第二次向后遍历图形”字符级RNN错误
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【中文标题】pytorch“试图第二次向后遍历图形”字符级RNN错误【英文标题】:pytorch "trying to backward through the graph a second time" error with chracter level RNN 【发布时间】:2020-11-07 17:49:28 【问题描述】:我正在使用 pytorch 训练字符级 GRU,同时将文本分成一定块长度的批次。 这是训练循环:
for e in range(self.epochs):
self.model.train()
h = self.get_init_state(self.batch_size)
for batch_num in range(self.num_batch_runs):
batch = self.generate_batch(batch_num).to(device)
inp_batch = batch[:-1,:]
tar_batch = batch[1:,:]
self.model.zero_grad()
loss = 0
for i in range(inp_batch.shape[0]):
out, h = self.model(inp_batch[i:i+1,:],h)
loss += loss_fn(out[0],tar_batch[i].view(-1))
loss.backward()
nn.utils.clip_grad_norm_(self.model.parameters(), 5.0)
optimizer.step()
if not (batch_num % 5):
print("epoch: , loss: ".format(e,loss.data.item()/inp_batch.shape[0]))
不过,我在第一批之后收到此错误:
Trying to backward through the graph a second time, but the buffers have already been freed. Specify retain_graph=True when calling backward the first time.
提前谢谢..
【问题讨论】:
这能回答你的问题吗? Pytorch - RuntimeError: Trying to backward through the graph a second time, but the buffers have already been freed 【参考方案1】:我自己找到了答案,GRU的隐藏状态还是附着在上一次batch运行的,所以必须使用分离
h.detach_()
【讨论】:
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