Traceback (most recent call last):
File "/disks/disk1/remote_src/DocRED/GAIN-master/code/train.py", line 237, in <module>
train(opt)
File "/disks/disk1/remote_src/DocRED/GAIN-master/code/train.py", line 130, in train
predictions = model(words=d['context_idxs'],
File "/disks/disk1/envs/anaconda3/envs/pytorch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/disks/disk1/envs/anaconda3/envs/pytorch/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 155, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/disks/disk1/envs/anaconda3/envs/pytorch/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 165, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/disks/disk1/envs/anaconda3/envs/pytorch/lib/python3.8/site-packages/torch/nn/parallel/parallel_apply.py", line 85, in parallel_apply
output.reraise()
File "/disks/disk1/envs/anaconda3/envs/pytorch/lib/python3.8/site-packages/torch/_utils.py", line 395, in reraise
raise self.exc_type(msg)
IndexError: Caughtin replica 0 on device 0.
Original Traceback (most recent call last):
File "/disks/disk1/envs/anaconda3/envs/pytorch/lib/python3.8/site-packages/torch/nn/parallel/parallel_apply.py", line 60, in _worker
output = module(*input, **kwargs)
File "/disks/disk1/envs/anaconda3/envs/pytorch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/disks/disk1/remote_src/DocRED/GAIN-master/code/models/GAIN.py", line 332, in forward
encoder_output = encoder_outputs[i] # [slen, bert_hid]
IndexError: index 1 is out of bounds for dimension 0 with size 1
您好,请问一下我尝试用
DataParallel
把这个模型改成多GPU训练,在运行的时候报错了: