Use torch.Tensor.reshape(*shape) (aka torch.reshape(tensor, shapetuple) ) to specify all the dimensions. If the original data is contiguous ... ... <看更多>
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Use torch.Tensor.reshape(*shape) (aka torch.reshape(tensor, shapetuple) ) to specify all the dimensions. If the original data is contiguous ... ... <看更多>
PyTorch provides a lot of methods for the Tensor type. ... It means that torch.reshape may return a copy or a view of the original tensor. ... <看更多>
resize(-1) gives a RuntimeError ( torch 1.0.1.post2 ):. RuntimeError: requested resize to -1 (-1 elements in total), but the given tensor has a ... ... <看更多>
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But if something is missing, torch tensors can be directly converted to and from numpy using ... Here is a demonstration of simple tensor reshaping. ... <看更多>
view() is applied on torch tensors to change their shape and reshape() is a numpy function to change shape of ndarrays. Share. Share a link to this question. ... <看更多>