WebThe torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient serialization of Tensors and arbitrary types, and other useful utilities. WebJul 18, 2024 · index_select Now we discuss each of the functions with proper examples. 1. index_add_: Adds the given tensor elements to the self tensor along the order given in the …
Python Examples of torch.index_select - ProgramCreek.com
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 WebApr 18, 2024 · PyTorch indexing: select complement of indices Ask Question Asked Viewed 828 times 2 Say I have a tensor and index: x = torch.tensor ( [1,2,3,4,5]) idx = torch.tensor ( … mannik smith group canton mi
【Pytorch API笔记 9】Tensor.index_copy_按照Tensor批量赋值
WebNov 18, 2024 · - PyTorch Forums How to select index over two dimension? Vanjoy November 18, 2024, 8:05am 1 Given a = torch.randn (3, 2, 4, 5), how I can select sub … 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. Webfrom __future__ import division, absolute_import, print_function import io import sys import os import re import itertools import warnings import weakref from operator import itemgetter, index as opindex import numpy as np from. import format from._datasource import DataSource from numpy.core.multiarray import packbits, unpackbits from._iotools … mannik \u0026 smith group