Question

我收到以下错误。

File "/net/if5/wua4nw/wasi/academic/research_with_prof_chang/projects/question_answering/duplicate_question_detection/source/train.py", line 62, in train
    loss.backward()
  File "/if5/wua4nw/anaconda3/lib/python3.5/site-packages/torch/autograd/variable.py", line 145, in backward
    self._execution_engine.run_backward((self,), (gradient,), retain_variables)
  File "/if5/wua4nw/anaconda3/lib/python3.5/site-packages/torch/autograd/function.py", line 208, in _do_backward
    result = super(NestedIOFunction, self)._do_backward(gradients, retain_variables)
  File "/if5/wua4nw/anaconda3/lib/python3.5/site-packages/torch/autograd/function.py", line 216, in backward
    result = self.backward_extended(*nested_gradients)
  File "/if5/wua4nw/anaconda3/lib/python3.5/site-packages/torch/nn/_functions/rnn.py", line 210, in backward_extended
    grad_hx)
  File "/if5/wua4nw/anaconda3/lib/python3.5/site-packages/torch/backends/cudnn/rnn.py", line 360, in backward_grad
    raise RuntimeError('Gradients aren\'t CUDA tensors')
RuntimeError: Gradients aren't CUDA tensors

在pytorch中运行loss.backward()时

。正向传播工作正常但是当反向传播步骤执行时，我收到错误。谁能建议我如何解决这个问题？

P.S：我没有发布源代码，因为它太长了！

RuntimeError：渐变不是CUDA张量

0 个答案: