Related Issues (20)
- self.train_loader1, self.train_loader2 in train_autodeeplab.py HOT 1
- why we should multiply softmax result by 5 HOT 4
- File "../AutoDeeplab-master/operations.py", line 90, in forward out = torch.cat([self.conv_1(x), self.conv_2(x[:,:,1:,1:])], dim=1)
- File "../AutoDeeplab-master2/model_search.py", line 68, in forward s = sum(self._ops[offset+j](h, weights[offset+j]) for j, h in enumerate(states)) RuntimeError: The size of tensor a (81) must match the size of tensor b (82) at non-singleton dime
- What does the index of alphas_network mean in auto_deeplab.py? HOT 1
- The network weights and the architecture weights(coefficient) train together? HOT 2
- I think the decode part is just a single DFS rather than viterbi algorithm ∩_∩, and definitely can be optimized.
- Network Architecture Weights are non zero for connections that do not exist
- how to obtain and train the target architecture of searc? HOT 2
- TypeError: 'NoneType' object is not callable HOT 9
- train_autodeeplab.py: error: unrecognized arguments: --gpu_ids 0,1,2,3 HOT 2
- missing LICENSE file
- Not doing an architecture step until epoch > 19
- what does ABN in "from operations import ABN" in aspp.py ?
- Still 'CUDA out of memory' with 4 TITAN X (pascal) when training model in PASCAL VOC dataset
- Given groups=1, weight of size 48 160 1 1, expected input[2, 1280, 25, 25] to have 160 channels, but got 1280 channels instead
- ModuleNotFoundError HOT 2
- How can I visualize the best inner cell and outer network after search for my custom dataset?
- ModuleNotFoundError: No module named 'modeling'
- AttributeError: 'Cell' object has no attribute 'cell_ops' HOT 2
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from autodeeplab.