working directory: /home/research/Documents/Pytorch/Nano_Drone/pulp-dronet-master/pulp-dronet-v2
Model name: model/dronet_v2_nemo_dory_original_himax.pth
CUDA/CPU device: cuda:0
pyTorch version: 1.6.0
You are testing on the himax dataset
loaded checkpoint on cuda
Failed to find the [state_dict] inside the checkpoint. I will try to open it anyways.
model tested: model/dronet_v2_nemo_dory_original_himax.pth evaluated on the: himax dataset
Test: 0%| | 0/7 [00:00<?, ?it/s]
Traceback (most recent call last):
File "testing.py", line 174, in
main()
File "testing.py", line 170, in main
testing(net, test_loader, device)
File "testing.py", line 86, in testing
outputs = model(inputs)
File "/home/research/anaconda3/envs/pulp-dronet-v2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, *kwargs)
File "/home/research/Documents/Pytorch/Nano_Drone/pulp-dronet-master/pulp-dronet-v2/model/dronet_v2_nemo_dory.py", line 90, in forward
x = self.fc(x)
File "/home/research/anaconda3/envs/pulp-dronet-v2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(input, **kwargs)
File "/home/research/anaconda3/envs/pulp-dronet-v2/lib/python3.8/site-packages/torch/nn/modules/linear.py", line 91, in forward
return F.linear(input, self.weight, self.bias)
File "/home/research/anaconda3/envs/pulp-dronet-v2/lib/python3.8/site-packages/torch/nn/functional.py", line 1676, in linear
output = input.matmul(weight.t())
RuntimeError: mat1 dim 1 must match mat2 dim 0
working directory: /home/research/Documents/Pytorch/Nano_Drone/pulp-dronet-master/pulp-dronet-v2
Model name: model/dronet_v2_nemo_dory_original_himax.pth CUDA/CPU device: cuda:0 pyTorch version: 1.6.0 You are testing on the himax dataset
loaded checkpoint on cuda Failed to find the [state_dict] inside the checkpoint. I will try to open it anyways. model tested: model/dronet_v2_nemo_dory_original_himax.pth evaluated on the: himax dataset Test: 0%| | 0/7 [00:00<?, ?it/s] Traceback (most recent call last): File "testing.py", line 174, in
main()
File "testing.py", line 170, in main
testing(net, test_loader, device)
File "testing.py", line 86, in testing
outputs = model(inputs)
File "/home/research/anaconda3/envs/pulp-dronet-v2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, *kwargs)
File "/home/research/Documents/Pytorch/Nano_Drone/pulp-dronet-master/pulp-dronet-v2/model/dronet_v2_nemo_dory.py", line 90, in forward
x = self.fc(x)
File "/home/research/anaconda3/envs/pulp-dronet-v2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(input, **kwargs)
File "/home/research/anaconda3/envs/pulp-dronet-v2/lib/python3.8/site-packages/torch/nn/modules/linear.py", line 91, in forward
return F.linear(input, self.weight, self.bias)
File "/home/research/anaconda3/envs/pulp-dronet-v2/lib/python3.8/site-packages/torch/nn/functional.py", line 1676, in linear
output = input.matmul(weight.t())
RuntimeError: mat1 dim 1 must match mat2 dim 0