WebJun 18, 2024 · Question about torch.gather with 3+ dimensions. I have 16 threads and for every thread an 8x5 matrix. For every thread, only one of those 8 5x1 vectors interests me and the rest can be discarded. action_prob.gather (1, self.current_options.view (-1, 1)) Where action_prob is a 16x8x5 tensor and current_options is a 16x1 tensor. Weblinear algebra. Solve the IVP: y''-y'+y=0,y (0)=0,y' (0)=1 y′′ −y′ +y = 0,y(0)= 0,y′(0)= 1. engineering. Solve the initial value problem. State which rule you are using. Show each step of your calculation in detail. y''+4y=-12 sin 2x, y (0)=1.8, y' (0)=5.0. 1 / 4.
Select specific columns of each row in a torch Tensor
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. WebNov 7, 2024 · 查了查 gather的时候我才知道. torch.gather (input,dim,index,out=None) example: t = torch.Tensor ( [1,2], [3,4]) torch.gather (t,1,torchLongTensor ( [ [0,0], [1,0]])) … lauterbrunnen suisse visite
Focal-Loss-Pytorch/Focal_Loss.py at master - Github
WebAug 18, 2024 · 1 Supose i have a tensor A of size batch_size x num_class x Dim , and a batch of labels L of size batch_size , where each element specifies which number in the second dim to choose from. And i want to slice tensor A using L, resulting a tensor: bz x Dim , my question is, is there a good way to implement this. 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 … 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 lauterbrunnen train station to jungfraujoch