项目网址：
OpenNMT - Open-Source Neural Machine Translation
logo：
一，从应用的层面先跑通 Harvard transformer
GitHub - harvardnlp/annotated-transformer: An annotated implementation of the Transformer paper.
git clone https://github.com/harvardnlp/annotated-transformer.git
cd annotated-transformer/
1. 环境搭建
conda create --name ilustrate_transformer_env python=3.9
conda activate ilustrate_transformer_env
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple问题：TypeError: issubclass() arg 1 must be a class
原因： 这是由python中的后端包之一的兼容性问题引起的问题，包“pydantic”
执行下面命令可以解决
python -m pip install -U pydantic spacy
会遇到下载不到数据的问题，因为有个网址废弃了：www.quest......
改成最新版本的torchtext的内容即可：
/home/hipper/anaconda3/envs/ilustrate_transformer_env/lib/python3.9/site-packages/torchtext/datasets/multi30k.py
13 '''LL::
14 URL = {
15 "train": r"http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/training.tar.gz",
16 "valid": r"http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/validation.tar.gz",
17 "test": r"http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/mmt16_task1_test.tar.gz",
18 }
19
20 MD5 = {
21 "train": "20140d013d05dd9a72dfde46478663ba05737ce983f478f960c1123c6671be5e",
22 "valid": "a7aa20e9ebd5ba5adce7909498b94410996040857154dab029851af3a866da8c",
23 "test": "0681be16a532912288a91ddd573594fbdd57c0fbb81486eff7c55247e35326c2",
24 }
25 '''
26 # TODO: Update URL to original once the server is back up (see https://github.com/pytorch/text/issues/1756)
27 URL = {
28 "train": r"https://raw.githubusercontent.com/neychev/small_DL_repo/master/datasets/Multi30k/training.tar.gz",
29 "valid": r"https://raw.githubusercontent.com/neychev/small_DL_repo/master/datasets/Multi30k/validation.tar.gz",
30 "test": r"https://raw.githubusercontent.com/neychev/small_DL_repo/master/datasets/Multi30k/mmt16_task1_test.tar.gz",
31 }
32
33 MD5 = {
34 "train": "20140d013d05dd9a72dfde46478663ba05737ce983f478f960c1123c6671be5e",
35 "valid": "a7aa20e9ebd5ba5adce7909498b94410996040857154dab029851af3a866da8c",
36 "test": "6d1ca1dba99e2c5dd54cae1226ff11c2551e6ce63527ebb072a1f70f72a5cd36",
37 }运行：
参考：
《The Annotated Transformer》翻译——注释和代码实现《Attention Is All You Need》_神洛华的博客-CSDN博客
图解transformer | The Illustrated Transformer_Ann's Blog的博客-CSDN博客
GitHub - harvardnlp/annotated-transformer: An annotated implementation of the Transformer paper.
OpenNMT - Open-Source Neural Machine Translation
