WebIndexing a tensor in the PyTorch C++ API works very similar to the Python API. All index types such as None / ... / integer / boolean / slice / tensor are available in the C++ API, making translation from Python indexing code to C++ very simple. Webindex的shape本来是(2,2), 里面的每个value被expand成了一个(3,4)的tensor, 故最后结果为shape为(2,2,3,4)的tensor. 2. index_select和gather pytorch说明: index_select; gather. index_select(input, dim, index) Returns a new tensor which indexes the input tensor along dimension dim using the entries in index which is a LongTensor.
[feature request] index_select is very slow on sparse tensors
Webfrom __future__ import division, absolute_import, print_function import io import sys import os impo Webtorch.select torch.select(input, dim, index) → Tensor Slices the input tensor along the selected dimension at the given index. This function returns a view of the original tensor … gc re anytech 365
Pytorch - Index-based Operation - GeeksforGeeks
WebNov 16, 2024 · index_select ( dim, index ) 参数: dim:表示从第几维挑选数据,类型为int值; index:表示从第一个参数维度中的哪个位置挑选数据,类型为torch.Tensor类的实例; 功能: 从张量的某个维度的指定位置选取数据。 代码实例: t = torch.arange ( 24 ).reshape ( 2, 3, 4) # 初始化一个tensor,从0到23,形状为(2,3,4) print ( "t--->", t) index = torch.tensor ( … WebOct 22, 2024 · 1 Answer Sorted by: 1 Using index_select () requires that the indexing values are in a vector rather than a tensor. But as long as that is formatted correctly, the function handles the broadcasting for you. The last thing that must be done is reshaping the output, I believe due to the broadcasting. WebJul 16, 2024 · As you can see index_select for a dense tensor runs incredibly quickly, but the pytorch index_select is atrociously slow for sparse tensors. However, the algorithm I wrote was several hundred times faster. For the use case I originally built this for it was several thousand times faster! I was wondering if my algorithm could replace the current ... gcreations prime