![expand(torch.DoubleTensor{[999]}, size=[]): the number of sizes provided (0) must be greater or equal to the number of dimensions in the tensor (1) - PyTorch Forums expand(torch.DoubleTensor{[999]}, size=[]): the number of sizes provided (0) must be greater or equal to the number of dimensions in the tensor (1) - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/2X/2/20d53cd2f66f275f754f71b9f81975929013f3e5.png)
expand(torch.DoubleTensor{[999]}, size=[]): the number of sizes provided (0) must be greater or equal to the number of dimensions in the tensor (1) - PyTorch Forums
GitHub - yutaroyamanaka/torch-seed-expand-constrain: Pytorch reimplementation of "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation."
![RuntimeError: expand(torch.cuda.FloatTensor{[3, 3, 3, 3]}, size=[]): the number of sizes provided (0) must be greater or equal to the number of dimensions in the tensor (4) - PyTorch Forums RuntimeError: expand(torch.cuda.FloatTensor{[3, 3, 3, 3]}, size=[]): the number of sizes provided (0) must be greater or equal to the number of dimensions in the tensor (4) - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/0/6/06356c736d5607cce1be3c198d44ee324a0f19b7.png)
RuntimeError: expand(torch.cuda.FloatTensor{[3, 3, 3, 3]}, size=[]): the number of sizes provided (0) must be greater or equal to the number of dimensions in the tensor (4) - PyTorch Forums
feature request] torch.expand to match -1 to existing dimensions if shape.count(-1) == ndim · Issue #33298 · pytorch/pytorch · GitHub
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