RuntimeError is encounted when training cifar10_rnn_gate_rl_38 about skipnet HOT 4 OPEN

Hi Victoria, what's your PyTorch version? It's likely some APIs have changed in the newer version of PyTorch. I'm working on updating the code to the new version and hope to release it soon. Thanks!

from skipnet.

I use PyTorch 0.2 and Python 3.6. My cuda version is 9.0.
I google the error, it seems that the following code causes the problem.
R = - pred_loss.data
R = r + args.gamma * R

from skipnet.

Excuse me,I encountered the bug ,too.Can you run the code using the command"python3 train_rl.py train cifar10_rnn_gate_rl_110 --resume resnet-110-rnn-sp-cifar10.pth.tar -d cifar10 --gate-type rnn
" normally?

The bug information lists as follow.
Traceback (most recent call last):
File "train_rl.py", line 492, in
main()
File "train_rl.py", line 121, in main
run_training(args)
File "train_rl.py", line 217, in run_training
output, masks, probs = model(input_var)
File "/home/wym/anaconda3/envs/python_auto/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/wym/anaconda3/envs/python_auto/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 167, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/home/wym/anaconda3/envs/python_auto/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 177, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/wym/anaconda3/envs/python_auto/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 86, in parallel_apply
output.reraise()
File "/home/wym/anaconda3/envs/python_auto/lib/python3.6/site-packages/torch/_utils.py", line 429, in reraise
raise self.exc_type(msg)
TypeError: Caught TypeError in replica 0 on device 0.
Original Traceback (most recent call last):
File "/home/wym/anaconda3/envs/python_auto/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 61, in _worker
output = module(*input, **kwargs)
File "/home/wym/anaconda3/envs/python_auto/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/wym/skipnet-master/cifar/models.py", line 1243, in forward
mask, gprob = self.control(gate_feature)
File "/home/wym/anaconda3/envs/python_auto/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/wym/skipnet-master/cifar/models.py", line 1136, in forward
action = bi_prob.multinomial()
TypeError: multinomial() missing 1 required positional arguments: "num_samples"

from skipnet.

I use PyTorch 0.2 and Python 3.6. My cuda version is 9.0. I google the error, it seems that the following code causes the problem. R = - pred_loss.data R = r + args.gamma * R

Hello @VictoriaYyz have you been able to resolve this issue?

from skipnet.