File "sparsity_train.py", line 159, in
load network
done!
load weightsfile
done!
train()
File "sparsity_train.py", line 105, in train
loss = model(imgs, targets)
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, kwargs)
File "/home/soc/PROJECT/zyp/Slim/1-2-yolov3-network-slimming-master/yolomodel.py", line 352, in forward
x, losses = self.module_list[i][0](x, targets)
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(input, kwargs)
File "/home/soc/PROJECT/zyp/Slim/1-2-yolov3-network-slimming-master/yolomodel.py", line 130, in forward
loss_y = self.mse_loss(y[mask], ty[mask])
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/modules/loss.py", line 431, in forward
return F.mse_loss(input, target, reduction=self.reduction)
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/functional.py", line 2203, in mse_loss
expanded_input, expanded_target = torch.broadcast_tensors(input, target)
File "/home/soc/.local/lib/python3.6/site-packages/torch/functional.py", line 52, in broadcast_tensors
return torch._C._VariableFunctions.broadcast_tensors(tensors)
RuntimeError: The size of tensor a (5) must match the size of tensor b (3) at non-singleton dimension 0
File "sparsity_train.py", line 159, in
load network
done!
load weightsfile
done!
train()
File "sparsity_train.py", line 105, in train
loss = model(imgs, targets)
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, kwargs)
File "/home/soc/PROJECT/zyp/Slim/1-2-yolov3-network-slimming-master/yolomodel.py", line 352, in forward
x, losses = self.module_list[i][0](x, targets)
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(input, kwargs)
File "/home/soc/PROJECT/zyp/Slim/1-2-yolov3-network-slimming-master/yolomodel.py", line 130, in forward
loss_y = self.mse_loss(y[mask], ty[mask])
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/modules/loss.py", line 431, in forward
return F.mse_loss(input, target, reduction=self.reduction)
File "/home/soc/.local/lib/python3.6/site-packages/torch/nn/functional.py", line 2203, in mse_loss
expanded_input, expanded_target = torch.broadcast_tensors(input, target)
File "/home/soc/.local/lib/python3.6/site-packages/torch/functional.py", line 52, in broadcast_tensors
return torch._C._VariableFunctions.broadcast_tensors(tensors)
RuntimeError: The size of tensor a (5) must match the size of tensor b (3) at non-singleton dimension 0