Shulou(Shulou.com)06/01 Report--

This article mainly explains how to use torch.le and le (other). Friends who are interested may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Let's let the editor learn how to use torch.le and le (other).

Instructions for using the function:

An element-by-element comparison operation between two broadcastable tensors to determine whether the element at each position satisfies less than or equal to.

Examples of code experiments:

Microsoft Windows [version 10.0.18363.1256] (c) 2019 Microsoft Corporation. All rights reserved. C:\ Users\ chenxuqi > conda activate ssd4pytorch2_2_0 (ssd4pytorch2_2_0) C:\ Users\ chenxuqi > pythonPython 3.7.7 (default, May 6 2020, 11:45:54) [MSC v.1916 64 bit (AMD64)]:: Anaconda, Inc. On win32Type "help", "copyright", "credits" or "license" for more information. > import torch > > input = torch.tensor ([[1,2], [3,4]]) > > other = torch.tensor ([[1,1], [4]) ) > inputtensor ([1,2], [3,4]]) > othertensor ([1,1], [4,4]]) > torch.le (input, other) tensor ([[True, False], [True, True]]) > so far I believe you have a deeper understanding of "how to use torch.le and le (other)", so you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.