WebDec 20, 2024 · Let a be a (n, d, l) tensor. Let indices be a (n, 1) tensor, containing indices. I want to gather from a in the middle dimension tensors from indices given by indices. The resulting tensor would WebAug 19, 2024 · Are you not missing something in the Batched indexing into a matrix block at the end? If you do it that way you have to loop over all indices, for the dim=0 in your case. My question would be, is there a fast way in pytorch to do the gather_nd where I have a 3D-matrix that stores all the indices and a 3D-matrix that has all the values and I would …
Select specific columns of each row in a torch Tensor
WebAug 20, 2024 · I implemented multi-class Focal Loss in pytorch. Bellow is the code. log_pred_prob_onehot is batched log_softmax in one_hot format, target is batched target in number(e.g. 0, 1, 2, 3). WebIf s is a PyTorch Tensor or Variable of shape (N, C) and y is a PyTorch Tensor or Variable of shape (N,) containing longs in the range 0 <= y[i] < C, then s.gather(1, y.view(-1, … jeff chang pottery website
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Webtorch.gather. Gathers values along an axis specified by dim. input and index must have the same number of dimensions. It is also required that index.size (d) <= input.size (d) for all dimensions d != dim. out will have the same shape as index . Note that input and index do not broadcast against each other. WebFeb 28, 2024 · Thanks for the links. I took a quick look at the posts and they seem right for nn.BCELoss.However, I’m not a huge fan of single dimension inputs to nn.BCELoss (but this might be my personal pet peeve ). In any case, your focal loss implementation expects the same inputs as nn.CrossEntropyLoss if I’m not misinterpreting the posted code. I.e. input … WebThe following are 30 code examples of torch.gather().You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. jeff chantal may facebook