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cestlacata
cestlacata commented May 19, 2021
  • Faker version: 8.1.2
  • OS: Windows 10

For locale fr_FR siren() and siret() methods generate incorrect values.
https://faker.readthedocs.io/en/master/locales/fr_FR.html#faker.providers.company.fr_FR.Provider.siren
https://faker.readthedocs.io/en/master/locales/fr_FR.html#faker.providers.company.fr_FR.Provider.siret

A valid SIREN has 9 digits = 8 digits + 1 Luhn Key
A valid SIRET has 14

label-studio
jayant766
jayant766 commented Aug 28, 2021

Steps:

Register on the website
An account verification link will be sent by email
Go to email inbox
Right-click on the box and copy the link
Check the link by pasting it in new tab
Hit enter and check if the account is being opened

HTTP LINK:

Impact - The user's account can be directly logged if the token is grabbed by the attacker by the tool named Wireshark.

**I want to

ljades
ljades commented Feb 19, 2021

How to reproduce the behaviour

The error occurs in the Step 5/9 of the docker build process

fetch http://dl-cdn.alpinelinux.org/alpine/v3.11/main/x86_64/APKINDEX.tar.gz
fetch http://dl-cdn.alpinelinux.org/alpine/v3.11/community/x86_64/APKINDEX.tar.gz
WARNING: Ignoring http://dl-cdn.alpinelinux.org/alpine/v3.11/main/x86_64/APKINDEX.tar.gz: BAD signature
WARNING: Ignoring http
bloodwass
bloodwass commented Jun 17, 2019

Expected Behavior

I want to convert torch.nn.Linear modules to weight drop linear modules in my model (possibly big), and I want to train my model with multi-GPUs. However, I have RuntimeError in my sample code. First, I have _weight_drop() which drops some part of weights in torch.nn.Linear (see the code below).

Actual Behavior

RuntimeError: arguments are located on different GPUs at /

akari0216
akari0216 commented Sep 2, 2021

欢迎您反馈PaddleNLP使用问题,非常感谢您对PaddleNLP的贡献!
在留下您的问题时,辛苦您同步提供如下信息:

  • 版本、环境信息
    1)PaddleNLP和PaddlePaddle版本:请提供您的PaddleNLP和PaddlePaddle版本号,例如PaddleNLP 2.0.4,PaddlePaddle2.1.1
    2)系统环境:请您描述系统类型,例如Linux/Windows/MacOS/,python版本
  • 复现信息:如为报错,请给出复现环境、复现步骤
    paddle版本2.0.8 paddlenlp版本2.1.0
    建议,能否在paddlenlp文档中,整理列出各个模型的tokenizer是基于什么类别的based,如bert tokenizer是word piece的,xlnet tokenizer是sentence piece的,以及对应的输入输出样例

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

  • Updated Aug 9, 2021
  • Jupyter Notebook

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