Hello, I've tried replicating your experiments, but I got the follow error:
Traceback (most recent call last):
File "EUR_Cap.py", line 116, in
poses, activations = capsule_net(data, batch_labels)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, kwargs)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 152, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 162, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 83, in parallel_apply
raise output
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 59, in _worker
output = module(*input, *kwargs)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(input, kwargs)
File "/home/jaoa/NLP-Capsule/network.py", line 42, in forward
nets = self.convs_doci
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 196, in forward
self.padding, self.dilation, self.groups)
RuntimeError: Input type (torch.cuda.DoubleTensor) and weight type (torch.cuda.FloatTensor) should be the same
My current environment: Python 3.6 and Pytorch 1.1
luisfredgs
commented
5 years ago
Hello, I've tried replicating your experiments, but I got the follow error:
Traceback (most recent call last): File "EUR_Cap.py", line 116, in
poses, activations = capsule_net(data, batch_labels)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, kwargs)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 152, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 162, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 83, in parallel_apply
raise output
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 59, in _worker
output = module(*input, *kwargs)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(input, kwargs)
File "/home/jaoa/NLP-Capsule/network.py", line 42, in forward
nets = self.convs_doci
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/home/jaoa/anaconda3/envs/pyenv/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 196, in forward
self.padding, self.dilation, self.groups)
RuntimeError: Input type (torch.cuda.DoubleTensor) and weight type (torch.cuda.FloatTensor) should be the same
My current environment: Python 3.6 and Pytorch 1.1