2019-10-18 23:20:07 epoch 0/353, processed 0 samples, lr 0.000033
Traceback (most recent call last):
File "train_meta.py", line 325, in <module> train(epoch)
File "train_meta.py", line 218, in train output = model(data, metax, mask) File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in __call__ result = self.forward(*input, **kwargs) File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 73, in forward outputs = self.parallel_apply(replicas, inputs, kwargs) File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 83, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 67, in parallel_apply
raise output
File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 42, in _worker
output = module(*input, **kwargs)
File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in __call__
result = self.forward(*input, **kwargs)
File "/home1/ubuntu/project/Fewshot_Detection/darknet_meta.py", line 199, in forward
dynamic_weights = self.meta_forward(metax, mask)
File "/home1/ubuntu/project/Fewshot_Detection/darknet_meta.py", line 122, in meta_forward
metax = model(metax)
File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in __call__
result = self.forward(*input, **kwargs)
File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/modules/container.py", line 67, in forward
input = module(input)
File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in __call__
result = self.forward(*input, **kwargs)
File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 282, in forward
self.padding, self.dilation, self.groups)
File "/home/ubuntu/home1/software/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py", line 89, in conv2d
torch.backends.cudnn.deterministic, torch.backends.cudnn.enabled)
RuntimeError: argument 1 (padding) must be tuple of int but got tuple of (float, float)
When I run
A runtime error occured
Do you know what's wrong? Thanks