WebNov 16, 2024 · high priority module: advanced indexing Related to x[i] = y, index functions module: autograd Related to torch.autograd, and the autograd engine in general module: performance Issues related to performance, either of kernel code or framework glue triaged This issue has been looked at a team member, and triaged and prioritized into an … Webtorch.select_scatter(input, src, dim, index) → Tensor Embeds the values of the src tensor into input at the given index. This function returns a tensor with fresh storage; it does not create a view. Parameters: input ( Tensor) – the input tensor. src ( Tensor) – The tensor to embed into input dim ( int) – the dimension to insert the slice into.
Output shape of ONNX exported "index_select" function is wrong …
WebNov 8, 2024 · When trying to export a model to ONNX that uses the index_select function on pytorch 1.10, the resulting operation in ONNX doesn't have the expected shape: To Reproduce Steps to reproduce the behavior: import torch from torch import nn class IndexSelectModule ( nn. WebIndex_select en pytorch. Etiquetas: pytorch. import torch a = torch. linspace (0, 12, 13). repeat (13, 1) El primer parámetro es el objeto del índice. El segundo parámetro 0 indica el índice según la fila, y 1 indica el índice de acuerdo con la columna. El tercer parámetro es un tensor, que es el número de secuencia del índice. fraud and ethics
[feature request] "Batched" index_select (i.e. simplified ... - Github
WebOct 7, 2024 · My use case is the following, I have an input image tensor (N, C, H_in, W_in), I have valid indexes tensors (N, H_out, W_out) for the height and width axes of the input image and I want to build an output image tensor (N, C, H_out, W_out) made out of the input image sampled at the indexes tensors. WebNov 29, 2024 · `index_select` with multidimensional `index` · Issue #30574 · pytorch/pytorch · GitHub pytorch Public Notifications Fork 17.7k Actions Projects Wiki Security Insights New issue index_select with multidimensional index #30574 Open carlosgmartin opened this issue on Nov 29, 2024 · 8 comments carlosgmartin commented on Nov 29, 2024 • edited WebApr 14, 2024 · 将index设置为 index = torch.tensor ( [0, 4, 2]) 即可 官方例子如下: x = torch.zeros(5, 3) t = torch.tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=torch.float) index = torch.tensor([0, 4, 2]) x.index_copy_(0, index, t) 1 2 3 4 输出 tensor([[ 1., 2., 3.], [ 0., 0., 0.], [ 7., 8., 9.], [ 0., 0., 0.], [ 4., 5., 6.]]) 1 2 3 4 5 hjxu2016 码龄7年 企业员工 324 原创 4969 周排名 fraud and falsification