├── .github
└── workflows
│ └── make_pages.yml
├── .gitignore
├── LICENSE
├── Makefile
├── README.md
├── docs
├── .buildinfo
├── .nojekyll
├── _images
│ ├── 3.4.1.png
│ ├── 3.4.2.png
│ ├── 3.5.1lossfunciton.png
│ ├── 3.5.2.png
│ ├── 3.6.1.png
│ ├── 3.6.2.png
│ ├── 5.2.1unet.png
│ ├── AI&ML&DL.jpg
│ ├── AI.jpg
│ ├── Anaconda.png
│ ├── Architecture.png
│ ├── CPU&NPU.png
│ ├── DDP.png
│ ├── DP.png
│ ├── Hyper_parameters.png
│ ├── LSTM-arch.jpg
│ ├── LSTM-gate_f.jpg
│ ├── LSTM-gate_m.jpg
│ ├── LSTM-gate_o.jpg
│ ├── LSTM-update.jpg
│ ├── Lenna_original.png
│ ├── Linux_GPU.png
│ ├── Linux_source.png
│ ├── MLU.jpg
│ ├── Nvidia.png
│ ├── Patch_Merging.png
│ ├── Patch_Merging_dim.png
│ ├── Patch_embedding.png
│ ├── Pycharm.png
│ ├── Pytorch.png
│ ├── Window_Partition_Reverse.png
│ ├── acc_wandb.png
│ ├── aug_seq.png
│ ├── backends.png
│ ├── bias0.png
│ ├── block.jpg
│ ├── block1.jpg
│ ├── cam.png
│ ├── cam_dog.png
│ ├── check_linux.png
│ ├── check_windows.png
│ ├── choose_envs.png
│ ├── code_Architecture.png
│ ├── coords.png
│ ├── dadiannao.jpg
│ ├── data_parllel.png
│ ├── diannao.jpg
│ ├── different_size.png
│ ├── dog.png
│ ├── download.png
│ ├── env_list.png
│ ├── envs1.png
│ ├── envs2.png
│ ├── expansion.jpg
│ ├── expansion1.jpg
│ ├── fashion-mnist-sprite.png
│ ├── finetune.png
│ ├── float16.jpg
│ ├── frameworks.png
│ ├── ft_activate.png
│ ├── ft_gradient.png
│ ├── gpu.png
│ ├── image-20220805033034092.png
│ ├── image-20220805144702521.png
│ ├── image-20220805144722375.png
│ ├── image-20220805145218241.png
│ ├── image-20220805150721875.png
│ ├── image-20220812162810305.png
│ ├── image_batch.png
│ ├── install.png
│ ├── kernel_vis.png
│ ├── layer2.png
│ ├── layer3.png
│ ├── layer4.png
│ ├── list.png
│ ├── logo2.jpg
│ ├── main_compare.png
│ ├── model_parllel.png
│ ├── node.png
│ ├── output_11_2.png
│ ├── output_13_1.png
│ ├── output_13_2.png
│ ├── output_15_2.png
│ ├── output_17_2.png
│ ├── output_19_2.png
│ ├── output_1_2.png
│ ├── output_21_1.png
│ ├── output_3_1.png
│ ├── output_44_1.png
│ ├── output_5_2.png
│ ├── output_7_0.png
│ ├── output_9_2.png
│ ├── prompt.png
│ ├── qrcode.jpeg
│ ├── relative_pos_code.png
│ ├── rotate.png
│ ├── screenshot.png
│ ├── shidiannao2.jpg
│ ├── shortcut.jpg
│ ├── shortcut1.jpg
│ ├── source_ok.png
│ ├── split.png
│ ├── ssh_tunnel_UI.png
│ ├── table.png
│ ├── tb_hist.png
│ ├── tb_image.png
│ ├── tb_image_grid.png
│ ├── tb_images.png
│ ├── tb_model.png
│ ├── tb_scalar.png
│ ├── tb_twolines.png
│ ├── torchaudio_feature_extractions.png
│ ├── vit_cls_pos.png
│ ├── wandb_api_keys.png
│ ├── wandb_config.png
│ ├── wandb_sys.png
│ ├── xshell_set.png
│ └── xshell_ui.png
├── _sources
│ ├── index.md.txt
│ ├── 第一章
│ │ ├── 1.1 PyTorch简介.md.txt
│ │ ├── 1.2 PyTorch的安装.md.txt
│ │ ├── 1.3 PyTorch相关资源.md.txt
│ │ └── index.md.txt
│ ├── 第七章
│ │ ├── 7.1 可视化网络结构.md.txt
│ │ ├── 7.2 CNN卷积层可视化.md.txt
│ │ ├── 7.3 使用TensorBoard可视化训练过程.md.txt
│ │ ├── 7.4 使用wandb可视化训练过程.md.txt
│ │ └── index.md.txt
│ ├── 第三章
│ │ ├── 3.1 思考:完成深度学习的必要部分.md.txt
│ │ ├── 3.2 基本配置.md.txt
│ │ ├── 3.3 数据读入.md.txt
│ │ ├── 3.4 模型构建.md.txt
│ │ ├── 3.5 模型初始化.md.txt
│ │ ├── 3.6 损失函数.md.txt
│ │ ├── 3.7 训练与评估.md.txt
│ │ ├── 3.8 可视化.md.txt
│ │ ├── 3.9 优化器.md.txt
│ │ └── index.md.txt
│ ├── 第九章
│ │ ├── 9.1 使用ONNX进行部署并推理.md.txt
│ │ ├── 9.1 图像分类.md.txt
│ │ ├── 9.2 目标检测.md.txt
│ │ ├── 9.3 图像分割.md.txt
│ │ └── index.md.txt
│ ├── 第二章
│ │ ├── 2.1 张量.md.txt
│ │ ├── 2.2 自动求导.md.txt
│ │ ├── 2.3 并行计算简介.md.txt
│ │ ├── 2.4 AI硬件加速设备.md.txt
│ │ ├── 2.4 其他加速设备.md.txt
│ │ └── index.md.txt
│ ├── 第五章
│ │ ├── 5.1 PyTorch模型定义的方式.md.txt
│ │ ├── 5.2 利用模型块快速搭建复杂网络.md.txt
│ │ ├── 5.3 PyTorch修改模型.md.txt
│ │ ├── 5.4 PyTorh模型保存与读取.md.txt
│ │ └── index.md.txt
│ ├── 第八章
│ │ ├── 8.1 本章简介.md.txt
│ │ ├── 8.2 图像 - torchvision.md.txt
│ │ ├── 8.3 视频 - PyTorchVideo.md.txt
│ │ ├── 8.4 文本 - torchtext.md.txt
│ │ ├── 8.5 音频 - torchaudio.md.txt
│ │ ├── index.md.txt
│ │ └── transforms实操.md.txt
│ ├── 第六章
│ │ ├── 6.1 自定义损失函数.md.txt
│ │ ├── 6.2 动态调整学习率.md.txt
│ │ ├── 6.3 模型微调-timm.md.txt
│ │ ├── 6.3 模型微调-torchvision.md.txt
│ │ ├── 6.4 半精度训练.md.txt
│ │ ├── 6.5 数据增强-imgaug.md.txt
│ │ ├── 6.6 使用argparse进行调参.md.txt
│ │ ├── 6.7 PyTorch模型定义与进阶训练技巧.md.txt
│ │ ├── PyTorch模型定义与进阶训练技巧.md.txt
│ │ └── index.md.txt
│ ├── 第十章
│ │ ├── 10.1 图像分类.md.txt
│ │ ├── 10.2 目标检测.md.txt
│ │ ├── 10.3 图像分割.md.txt
│ │ ├── LSTM解读及实战.md.txt
│ │ ├── RNN详解及其实现.md.txt
│ │ ├── ResNet源码解读.md.txt
│ │ ├── Swin-Transformer解读.md.txt
│ │ ├── Transformer 解读.md.txt
│ │ ├── ViT解读.md.txt
│ │ ├── YOLO系列解读
│ │ │ ├── MMYOLO实现
│ │ │ │ ├── README.md.txt
│ │ │ │ ├── model_design.md.txt
│ │ │ │ ├── rtmdet_description.md.txt
│ │ │ │ └── yolov5_description.md.txt
│ │ │ └── torch实现
│ │ │ │ └── README.md.txt
│ │ └── index.md.txt
│ ├── 第四章
│ │ ├── 4.1 ResNet.md.txt
│ │ ├── 4.2 GoogleNet.md.txt
│ │ ├── 4.3 DenseNet.md.txt
│ │ ├── 4.4 FashionMNIST图像分类.md.txt
│ │ ├── index.md.txt
│ │ └── 基础实战——FashionMNIST时装分类.md.txt
│ └── 第零章
│ │ ├── 0.1 人工智能简史.md.txt
│ │ ├── 0.1 深度学习基础知识.md.txt
│ │ ├── 0.2 数学基础知识.md.txt
│ │ ├── 0.2 评价指标.md.txt
│ │ ├── 0.3 常用包的学习.md.txt
│ │ ├── 0.4 Jupyter相关操作.md.txt
│ │ └── index.md.txt
├── _static
│ ├── basic.css
│ ├── doctools.js
│ ├── documentation_options.js
│ ├── file.png
│ ├── images
│ │ ├── logo_binder.svg
│ │ ├── logo_colab.png
│ │ ├── logo_deepnote.svg
│ │ └── logo_jupyterhub.svg
│ ├── jquery-3.5.1.js
│ ├── jquery.js
│ ├── language_data.js
│ ├── locales
│ │ ├── ar
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── bg
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── bn
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ca
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── cs
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── da
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── de
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── el
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── eo
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── es
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── et
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── fi
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── fr
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── hr
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── id
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── it
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── iw
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ja
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ko
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── lt
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── lv
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ml
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── mr
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ms
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── nl
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── no
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── pl
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── pt
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ro
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ru
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── sk
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── sl
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── sr
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── sv
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ta
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── te
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── tg
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── th
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── tl
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── tr
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── uk
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── ur
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── vi
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ ├── zh_CN
│ │ │ └── LC_MESSAGES
│ │ │ │ └── booktheme.po
│ │ └── zh_TW
│ │ │ └── LC_MESSAGES
│ │ │ └── booktheme.po
│ ├── minus.png
│ ├── mystnb.css
│ ├── plot_directive.css
│ ├── plus.png
│ ├── pygments.css
│ ├── sbt-webpack-macros.html
│ ├── scripts
│ │ ├── pydata-sphinx-theme.js
│ │ ├── sphinx-book-theme.js
│ │ └── sphinx-book-theme.js.map
│ ├── searchtools.js
│ ├── styles
│ │ ├── pydata-sphinx-theme.css
│ │ ├── sphinx-book-theme.css
│ │ └── theme.css
│ ├── togglebutton.css
│ ├── togglebutton.js
│ ├── underscore-1.13.1.js
│ ├── underscore.js
│ ├── vendor
│ │ └── fontawesome
│ │ │ └── 5.13.0
│ │ │ ├── LICENSE.txt
│ │ │ ├── css
│ │ │ └── all.min.css
│ │ │ └── webfonts
│ │ │ ├── fa-brands-400.eot
│ │ │ ├── fa-brands-400.svg
│ │ │ ├── fa-brands-400.ttf
│ │ │ ├── fa-brands-400.woff
│ │ │ ├── fa-brands-400.woff2
│ │ │ ├── fa-regular-400.eot
│ │ │ ├── fa-regular-400.svg
│ │ │ ├── fa-regular-400.ttf
│ │ │ ├── fa-regular-400.woff
│ │ │ ├── fa-regular-400.woff2
│ │ │ ├── fa-solid-900.eot
│ │ │ ├── fa-solid-900.svg
│ │ │ ├── fa-solid-900.ttf
│ │ │ ├── fa-solid-900.woff
│ │ │ └── fa-solid-900.woff2
│ └── webpack-macros.html
├── genindex.html
├── index.html
├── objects.inv
├── search.html
├── searchindex.js
├── 第一章
│ ├── 1.1 PyTorch简介.html
│ ├── 1.2 PyTorch的安装.html
│ ├── 1.3 PyTorch相关资源.html
│ └── index.html
├── 第七章
│ ├── 7.1 可视化网络结构.html
│ ├── 7.2 CNN卷积层可视化.html
│ ├── 7.3 使用TensorBoard可视化训练过程.html
│ ├── 7.4 使用wandb可视化训练过程.html
│ └── index.html
├── 第三章
│ ├── 3.1 思考:完成深度学习的必要部分.html
│ ├── 3.2 基本配置.html
│ ├── 3.3 数据读入.html
│ ├── 3.4 模型构建.html
│ ├── 3.5 模型初始化.html
│ ├── 3.6 损失函数.html
│ ├── 3.7 训练与评估.html
│ ├── 3.8 可视化.html
│ ├── 3.9 优化器.html
│ └── index.html
├── 第九章
│ ├── 9.1 使用ONNX进行部署并推理.html
│ ├── figures
│ │ ├── frameworks.png
│ │ ├── grapgflow.png
│ │ ├── node.png
│ │ ├── pipeline.jpg
│ │ └── screenshot.png
│ └── index.html
├── 第二章
│ ├── 2.1 张量.html
│ ├── 2.2 自动求导.html
│ ├── 2.3 并行计算简介.html
│ ├── 2.4 AI硬件加速设备.html
│ ├── 2.4 其他加速设备.html
│ └── index.html
├── 第五章
│ ├── 5.1 PyTorch模型定义的方式.html
│ ├── 5.2 利用模型块快速搭建复杂网络.html
│ ├── 5.3 PyTorch修改模型.html
│ ├── 5.4 PyTorh模型保存与读取.html
│ └── index.html
├── 第八章
│ ├── 8.1 本章简介.html
│ ├── 8.2 图像 - torchvision.html
│ ├── 8.3 视频 - PyTorchVideo.html
│ ├── 8.4 文本 - torchtext.html
│ ├── 8.5 音频 - torchaudio.html
│ ├── index.html
│ └── transforms实操.html
├── 第六章
│ ├── 6.1 自定义损失函数.html
│ ├── 6.2 动态调整学习率.html
│ ├── 6.3 模型微调-timm.html
│ ├── 6.3 模型微调-torchvision.html
│ ├── 6.4 半精度训练.html
│ ├── 6.5 数据增强-imgaug.html
│ ├── 6.6 使用argparse进行调参.html
│ ├── 6.7 PyTorch模型定义与进阶训练技巧.html
│ ├── PyTorch模型定义与进阶训练技巧.html
│ └── index.html
├── 第十章
│ ├── 10.1 图像分类.html
│ ├── 10.2 目标检测.html
│ ├── 10.3 图像分割.html
│ ├── LSTM解读及实战.html
│ ├── RNN详解及其实现.html
│ ├── ResNet源码解读.html
│ ├── Swin-Transformer解读.html
│ ├── Transformer 解读.html
│ ├── ViT解读.html
│ ├── YOLO系列解读
│ │ ├── MMYOLO实现
│ │ │ ├── README.html
│ │ │ ├── model_design.html
│ │ │ ├── rtmdet_description.html
│ │ │ └── yolov5_description.html
│ │ └── torch实现
│ │ │ └── README.html
│ └── index.html
├── 第四章
│ ├── 4.1 ResNet.html
│ ├── 4.2 GoogleNet.html
│ ├── 4.3 DenseNet.html
│ ├── 4.4 FashionMNIST图像分类.html
│ ├── index.html
│ └── 基础实战——FashionMNIST时装分类.html
└── 第零章
│ ├── 0.1 人工智能简史.html
│ ├── 0.1 深度学习基础知识.html
│ ├── 0.2 数学基础知识.html
│ ├── 0.2 评价指标.html
│ ├── 0.3 常用包的学习.html
│ ├── 0.4 Jupyter相关操作.html
│ ├── figures
│ ├── AI&ML&DL.jpg
│ ├── AI.jpg
│ ├── IOU.png
│ ├── PR.png
│ ├── confusion_matrix.png
│ ├── image-20220716235443528.png
│ ├── image-20220716235510697.png
│ ├── image-20220716235540827.png
│ ├── image-20220716235931573.png
│ ├── image-20220717000530228.png
│ ├── image-20220717001243904.png
│ ├── image-20220804170455298.png
│ ├── image-20220804171027983.png
│ ├── image-20220805024106987.png
│ ├── image-20220805030345613.png
│ ├── image-20220805030406608.png
│ ├── image-20220805031209481.png
│ ├── image-20220805033034092.png
│ ├── image-20220805144702521.png
│ ├── image-20220805144722375.png
│ ├── image-20220805144803441.png
│ ├── image-20220805145218241.png
│ ├── image-20220805150721875.png
│ ├── image-20220805151600140.png
│ ├── image-20220805152331777.png
│ ├── image-20220805152507891.png
│ ├── image-20220812162810305.png
│ ├── image-20220812171025719.png
│ └── normalized_confusion_matrix.png
│ └── index.html
├── make.bat
├── notebook
├── README.md
├── 第二章 PyTorch基础知识
│ └── 代码演示:PyTorch基础知识.ipynb
├── 第八章 PyTorch生态简介
│ ├── figures
│ │ └── lenna.jpg
│ └── transforms.ipynb
├── 第六章 PyTorch进阶训练技巧
│ ├── PyTorch模型定义与进阶训练技巧.ipynb
│ ├── img
│ │ ├── Lenna.jpg
│ │ ├── UI.png
│ │ ├── UI2.png
│ │ ├── UI3.png
│ │ ├── demo1.png
│ │ ├── demo1ex.png
│ │ ├── demo2.png
│ │ ├── demo3.png
│ │ ├── demo4.png
│ │ ├── demo5.png
│ │ ├── demo6.png
│ │ ├── demo7.png
│ │ ├── photo.png
│ │ ├── plots.gif
│ │ ├── start.png
│ │ └── visdom.png
│ ├── 使用argparse调参
│ │ └── config.py
│ └── 利用Visdom可视化训练过程.ipynb
├── 第十章 常见网络代码的解读
│ └── LSTM实战.ipynb
├── 第四章 PyTorch基础实战
│ └── 图像分类
│ │ ├── FashionMNIST时装分类实战
│ │ ├── fashion-mnist-sprite.png
│ │ └── 基础实战——FashionMNIST时装分类.ipynb
│ │ └── 果蔬分类
│ │ └── 基础实战——果蔬分类.ipynb
└── 第零章 前置知识补充
│ └── 进阶操作.ipynb
└── source
├── conf.py
├── figures
└── qrcode.jpeg
├── index.md
├── 第一章
├── 1.1 PyTorch简介.md
├── 1.2 PyTorch的安装.md
├── 1.3 PyTorch相关资源.md
├── figures
│ ├── Anaconda.png
│ ├── Cuda.png
│ ├── Linux_GPU.png
│ ├── Linux_source.png
│ ├── Nvidia.png
│ ├── Pycharm.png
│ ├── Pytorch.png
│ ├── check_linux.png
│ ├── check_windows.png
│ ├── choose_envs.png
│ ├── download.png
│ ├── env_list.png
│ ├── envs1.png
│ ├── envs2.png
│ ├── gpu.png
│ ├── install.png
│ ├── main_compare.png
│ ├── pip换源.png
│ ├── prompt.png
│ ├── source_ok.png
│ ├── table.png
│ ├── vim.png
│ └── 创建新的环境.png
└── index.md
├── 第七章
├── 7.1 可视化网络结构.md
├── 7.2 CNN卷积层可视化.md
├── 7.3 使用TensorBoard可视化训练过程.md
├── 7.4 使用wandb可视化训练过程.md
├── 7.5 使用SwanLab可视化训练过程.md
├── figures
│ ├── acc_wandb.png
│ ├── aswanlab_mnist_3.png
│ ├── cam.png
│ ├── cam_dog.png
│ ├── dog.png
│ ├── ft_activate.png
│ ├── ft_gradient.png
│ ├── kernel_vis.png
│ ├── layer2.png
│ ├── layer3.png
│ ├── layer4.png
│ ├── ssh_tunnel_UI.png
│ ├── swanlab_hello_world.png
│ ├── swanlab_login.png
│ ├── swanlab_mnist_1.png
│ ├── swanlab_mnist_2.png
│ ├── swanlab_yolo_1.png
│ ├── swanlab_yolo_2.png
│ ├── swanlab_yolo_3.png
│ ├── tb_hist.png
│ ├── tb_image.png
│ ├── tb_image_grid.png
│ ├── tb_images.png
│ ├── tb_model.png
│ ├── tb_scalar.png
│ ├── tb_twolines.png
│ ├── wandb_api_keys.png
│ ├── wandb_config.png
│ ├── wandb_sys.png
│ ├── xshell_set.png
│ └── xshell_ui.png
└── index.md
├── 第三章
├── 3.1 思考:完成深度学习的必要部分.md
├── 3.2 基本配置.md
├── 3.3 数据读入.md
├── 3.4 模型构建.md
├── 3.5 模型初始化.md
├── 3.6 损失函数.md
├── 3.7 训练与评估.md
├── 3.8 可视化.md
├── 3.9 优化器.md
├── figures
│ ├── 3.4.1.png
│ ├── 3.4.2.png
│ ├── 3.5.1lossfunciton.png
│ ├── 3.5.2.png
│ ├── 3.6.1.png
│ └── 3.6.2.png
└── index.md
├── 第九章
├── 9.1 使用ONNX进行部署并推理.md
├── figures
│ ├── frameworks.png
│ ├── grapgflow.png
│ ├── node.png
│ ├── pipeline.jpg
│ └── screenshot.png
└── index.md
├── 第二章
├── 2.1 张量.md
├── 2.2 自动求导.md
├── 2.3 并行计算简介.md
├── 2.4 AI硬件加速设备.md
├── figures
│ ├── CPU&NPU.png
│ ├── DDP.png
│ ├── DP.png
│ ├── FloorPlan.jpg
│ ├── MLU.jpg
│ ├── MMU.jpg
│ ├── TPU.jpg
│ ├── accelerator.jpg
│ ├── backends.png
│ ├── dadiannao.jpg
│ ├── data_parllel.png
│ ├── diannao.jpg
│ ├── model_parllel.png
│ ├── shidiannao.jpg
│ ├── shidiannao2.jpg
│ └── split.png
└── index.md
├── 第五章
├── 5.1 PyTorch模型定义的方式.md
├── 5.2 利用模型块快速搭建复杂网络.md
├── 5.3 PyTorch修改模型.md
├── 5.4 PyTorh模型保存与读取.md
├── figures
│ ├── 5.2.1unet.png
│ ├── resnet.png
│ └── resnet_simplified.png
└── index.md
├── 第八章
├── 8.1 本章简介.md
├── 8.2 图像 - torchvision.md
├── 8.3 视频 - PyTorchVideo.md
├── 8.4 文本 - torchtext.md
├── 8.5 音频 - torchaudio.md
├── figures
│ ├── Lenna.jpg
│ ├── list.png
│ ├── logo.jpg
│ ├── logo2.jpg
│ ├── output_11_2.png
│ ├── output_13_1.png
│ ├── output_15_2.png
│ ├── output_17_2.png
│ ├── output_19_2.png
│ ├── output_1_2.png
│ ├── output_21_1.png
│ ├── output_3_1.png
│ ├── output_5_2.png
│ ├── output_7_0.png
│ ├── output_9_2.png
│ └── torchaudio_feature_extractions.png
└── index.md
├── 第六章
├── 6.1 自定义损失函数.md
├── 6.2 动态调整学习率.md
├── 6.3 模型微调-timm.md
├── 6.3 模型微调-torchvision.md
├── 6.4 半精度训练.md
├── 6.5 数据增强-imgaug.md
├── 6.6 使用argparse进行调参.md
├── figures
│ ├── Lenna.jpg
│ ├── Lenna_original.png
│ ├── aug_seq.png
│ ├── different_size.png
│ ├── finetune.png
│ ├── float16.jpg
│ ├── image_batch.png
│ ├── output_44_1.png
│ └── rotate.png
└── index.md
├── 第十章
├── 10.1 图像分类.md
├── 10.2 目标检测.md
├── 10.3 图像分割.md
├── LSTM解读及实战.md
├── RNN详解及其实现.md
├── ResNet源码解读.md
├── Swin-Transformer解读.md
├── Transformer 解读.md
├── ViT解读.md
├── YOLO系列解读
│ ├── MMYOLO实现
│ │ ├── README.md
│ │ ├── model_design.md
│ │ ├── resources
│ │ │ ├── mmyolo-logo.png
│ │ │ ├── qq_group_qrcode.jpg
│ │ │ └── zhihu_qrcode.jpg
│ │ ├── rtmdet_description.md
│ │ └── yolov5_description.md
│ └── torch实现
│ │ └── README.md
├── figures
│ ├── Architecture.png
│ ├── Hyper_parameters.png
│ ├── LSTM-arch.jpg
│ ├── LSTM-gate_f.jpg
│ ├── LSTM-gate_m.jpg
│ ├── LSTM-gate_o.jpg
│ ├── LSTM-update.jpg
│ ├── Mask.png
│ ├── Net.png
│ ├── Patch_Merging.png
│ ├── Patch_Merging_dim.png
│ ├── Patch_embedding.png
│ ├── Shift_window_index.png
│ ├── Shifted_Window.png
│ ├── Swin-T&ViT.png
│ ├── Swin-T.png
│ ├── Swin-T_block.png
│ ├── W-MSA.png
│ ├── Window_Partition_Reverse.png
│ ├── bias0.png
│ ├── block.jpg
│ ├── code_Architecture.png
│ ├── coords.png
│ ├── expansion.jpg
│ ├── relative_pos_bias_table.png
│ ├── relative_pos_code.png
│ ├── shortcut.jpg
│ ├── shortcut2.jpg
│ ├── torch_roll.png
│ ├── transformer_Decoder.png
│ ├── transformer_Encoder.png
│ ├── transformer_Multi-Head attention.png
│ ├── transformer_Multi-Head attention_compute.png
│ ├── transformer_Multi-Head visual.jpg
│ ├── transformer_architecture.png
│ ├── transformer_attention.png
│ ├── transformer_attention_compute.png
│ ├── transformer_attention_compute_2.png
│ ├── transformer_datalink.png
│ ├── transformer_position_embedding.png
│ ├── transformer_selfattention.jpg
│ ├── vit_cls_pos.png
│ ├── vit_framework.png
│ ├── vit_msa.png
│ ├── vit_sa.png
│ ├── vit_transformer.png
│ ├── 相对位置索引.png
│ └── 绝对位置索引.png
└── index.md
├── 第四章
├── 4.1 ResNet.md
├── 4.2 GoogleNet.md
├── 4.3 DenseNet.md
├── 4.4 FashionMNIST图像分类.md
├── figures
│ ├── Net.png
│ ├── block.jpg
│ ├── coords.png
│ ├── expansion.jpg
│ ├── fashion-mnist-sprite.png
│ ├── output_13_2.png
│ ├── shortcut.jpg
│ └── shortcut2.jpg
└── index.md
└── 第零章
├── 0.1 人工智能简史.md
├── 0.2 评价指标.md
├── 0.3 常用包的学习.md
├── 0.4 Jupyter相关操作.md
├── figures
├── AI&ML&DL.jpg
├── AI.jpg
├── IOU.png
├── PR.png
├── confusion_matrix.png
├── image-20220716235443528.png
├── image-20220716235510697.png
├── image-20220716235540827.png
├── image-20220716235931573.png
├── image-20220717000530228.png
├── image-20220717001243904.png
├── image-20220804170455298.png
├── image-20220804171027983.png
├── image-20220805024106987.png
├── image-20220805030345613.png
├── image-20220805030406608.png
├── image-20220805031209481.png
├── image-20220805033034092.png
├── image-20220805144702521.png
├── image-20220805144722375.png
├── image-20220805144803441.png
├── image-20220805145218241.png
├── image-20220805150721875.png
├── image-20220805151600140.png
├── image-20220805152331777.png
├── image-20220805152507891.png
├── image-20220812162810305.png
├── image-20220812171025719.png
└── normalized_confusion_matrix.png
└── index.md
/.github/workflows/make_pages.yml:
--------------------------------------------------------------------------------
1 | name: Deploy to Github Pages
2 | on:
3 | push:
4 | branches:
5 | - main
6 | pull_request:
7 | branches:
8 | - main
9 | jobs:
10 | deploy:
11 | runs-on: ubuntu-latest
12 | steps:
13 | - uses: actions/checkout@v2
14 | - uses: actions/setup-python@v2
15 | with:
16 | python-version: 3.x
17 | - uses: actions/cache@v2
18 | with:
19 | key: ${{ github.ref }}
20 | path: .cache
21 | - run: pip install sphinx
22 | - run: pip install sphinx-book-theme
23 | - run: pip install myst-nb
24 | - run: pip install matplotlib
25 | - run: make clean
26 | - run: make html
27 | - run: cp -rf build/html/* docs/
28 |
--------------------------------------------------------------------------------
/Makefile:
--------------------------------------------------------------------------------
1 | # Minimal makefile for Sphinx documentation
2 | #
3 |
4 | # You can set these variables from the command line, and also
5 | # from the environment for the first two.
6 | SPHINXOPTS ?=
7 | SPHINXBUILD ?= sphinx-build
8 | SOURCEDIR = source
9 | BUILDDIR = build
10 |
11 | # Put it first so that "make" without argument is like "make help".
12 | help:
13 | @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
14 |
15 | .PHONY: help Makefile
16 |
17 | # Catch-all target: route all unknown targets to Sphinx using the new
18 | # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
19 | %: Makefile
20 | @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
21 |
--------------------------------------------------------------------------------
/docs/.buildinfo:
--------------------------------------------------------------------------------
1 | # Sphinx build info version 1
2 | # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
3 | config: 8928221afc1d1d56cef1695f1568cc7e
4 | tags: 645f666f9bcd5a90fca523b33c5a78b7
5 |
--------------------------------------------------------------------------------
/docs/.nojekyll:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/.nojekyll
--------------------------------------------------------------------------------
/docs/_images/3.4.1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/3.4.1.png
--------------------------------------------------------------------------------
/docs/_images/3.4.2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/3.4.2.png
--------------------------------------------------------------------------------
/docs/_images/3.5.1lossfunciton.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/3.5.1lossfunciton.png
--------------------------------------------------------------------------------
/docs/_images/3.5.2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/3.5.2.png
--------------------------------------------------------------------------------
/docs/_images/3.6.1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/3.6.1.png
--------------------------------------------------------------------------------
/docs/_images/3.6.2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/3.6.2.png
--------------------------------------------------------------------------------
/docs/_images/5.2.1unet.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/5.2.1unet.png
--------------------------------------------------------------------------------
/docs/_images/AI&ML&DL.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/AI&ML&DL.jpg
--------------------------------------------------------------------------------
/docs/_images/AI.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/AI.jpg
--------------------------------------------------------------------------------
/docs/_images/Anaconda.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Anaconda.png
--------------------------------------------------------------------------------
/docs/_images/Architecture.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Architecture.png
--------------------------------------------------------------------------------
/docs/_images/CPU&NPU.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/CPU&NPU.png
--------------------------------------------------------------------------------
/docs/_images/DDP.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/DDP.png
--------------------------------------------------------------------------------
/docs/_images/DP.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/DP.png
--------------------------------------------------------------------------------
/docs/_images/Hyper_parameters.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Hyper_parameters.png
--------------------------------------------------------------------------------
/docs/_images/LSTM-arch.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/LSTM-arch.jpg
--------------------------------------------------------------------------------
/docs/_images/LSTM-gate_f.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/LSTM-gate_f.jpg
--------------------------------------------------------------------------------
/docs/_images/LSTM-gate_m.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/LSTM-gate_m.jpg
--------------------------------------------------------------------------------
/docs/_images/LSTM-gate_o.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/LSTM-gate_o.jpg
--------------------------------------------------------------------------------
/docs/_images/LSTM-update.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/LSTM-update.jpg
--------------------------------------------------------------------------------
/docs/_images/Lenna_original.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Lenna_original.png
--------------------------------------------------------------------------------
/docs/_images/Linux_GPU.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Linux_GPU.png
--------------------------------------------------------------------------------
/docs/_images/Linux_source.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Linux_source.png
--------------------------------------------------------------------------------
/docs/_images/MLU.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/MLU.jpg
--------------------------------------------------------------------------------
/docs/_images/Nvidia.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Nvidia.png
--------------------------------------------------------------------------------
/docs/_images/Patch_Merging.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Patch_Merging.png
--------------------------------------------------------------------------------
/docs/_images/Patch_Merging_dim.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Patch_Merging_dim.png
--------------------------------------------------------------------------------
/docs/_images/Patch_embedding.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Patch_embedding.png
--------------------------------------------------------------------------------
/docs/_images/Pycharm.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Pycharm.png
--------------------------------------------------------------------------------
/docs/_images/Pytorch.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Pytorch.png
--------------------------------------------------------------------------------
/docs/_images/Window_Partition_Reverse.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/Window_Partition_Reverse.png
--------------------------------------------------------------------------------
/docs/_images/acc_wandb.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/acc_wandb.png
--------------------------------------------------------------------------------
/docs/_images/aug_seq.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/aug_seq.png
--------------------------------------------------------------------------------
/docs/_images/backends.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/backends.png
--------------------------------------------------------------------------------
/docs/_images/bias0.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/bias0.png
--------------------------------------------------------------------------------
/docs/_images/block.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/block.jpg
--------------------------------------------------------------------------------
/docs/_images/block1.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/block1.jpg
--------------------------------------------------------------------------------
/docs/_images/cam.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/cam.png
--------------------------------------------------------------------------------
/docs/_images/cam_dog.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/cam_dog.png
--------------------------------------------------------------------------------
/docs/_images/check_linux.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/check_linux.png
--------------------------------------------------------------------------------
/docs/_images/check_windows.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/check_windows.png
--------------------------------------------------------------------------------
/docs/_images/choose_envs.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/choose_envs.png
--------------------------------------------------------------------------------
/docs/_images/code_Architecture.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/code_Architecture.png
--------------------------------------------------------------------------------
/docs/_images/coords.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/coords.png
--------------------------------------------------------------------------------
/docs/_images/dadiannao.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/dadiannao.jpg
--------------------------------------------------------------------------------
/docs/_images/data_parllel.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/data_parllel.png
--------------------------------------------------------------------------------
/docs/_images/diannao.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/diannao.jpg
--------------------------------------------------------------------------------
/docs/_images/different_size.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/different_size.png
--------------------------------------------------------------------------------
/docs/_images/dog.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/dog.png
--------------------------------------------------------------------------------
/docs/_images/download.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/download.png
--------------------------------------------------------------------------------
/docs/_images/env_list.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/env_list.png
--------------------------------------------------------------------------------
/docs/_images/envs1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/envs1.png
--------------------------------------------------------------------------------
/docs/_images/envs2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/envs2.png
--------------------------------------------------------------------------------
/docs/_images/expansion.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/expansion.jpg
--------------------------------------------------------------------------------
/docs/_images/expansion1.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/expansion1.jpg
--------------------------------------------------------------------------------
/docs/_images/fashion-mnist-sprite.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/fashion-mnist-sprite.png
--------------------------------------------------------------------------------
/docs/_images/finetune.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/finetune.png
--------------------------------------------------------------------------------
/docs/_images/float16.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/float16.jpg
--------------------------------------------------------------------------------
/docs/_images/frameworks.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/frameworks.png
--------------------------------------------------------------------------------
/docs/_images/ft_activate.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/ft_activate.png
--------------------------------------------------------------------------------
/docs/_images/ft_gradient.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/ft_gradient.png
--------------------------------------------------------------------------------
/docs/_images/gpu.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/gpu.png
--------------------------------------------------------------------------------
/docs/_images/image-20220805033034092.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/image-20220805033034092.png
--------------------------------------------------------------------------------
/docs/_images/image-20220805144702521.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/image-20220805144702521.png
--------------------------------------------------------------------------------
/docs/_images/image-20220805144722375.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/image-20220805144722375.png
--------------------------------------------------------------------------------
/docs/_images/image-20220805145218241.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/image-20220805145218241.png
--------------------------------------------------------------------------------
/docs/_images/image-20220805150721875.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/image-20220805150721875.png
--------------------------------------------------------------------------------
/docs/_images/image-20220812162810305.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/image-20220812162810305.png
--------------------------------------------------------------------------------
/docs/_images/image_batch.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/image_batch.png
--------------------------------------------------------------------------------
/docs/_images/install.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/install.png
--------------------------------------------------------------------------------
/docs/_images/kernel_vis.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/kernel_vis.png
--------------------------------------------------------------------------------
/docs/_images/layer2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/layer2.png
--------------------------------------------------------------------------------
/docs/_images/layer3.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/layer3.png
--------------------------------------------------------------------------------
/docs/_images/layer4.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/layer4.png
--------------------------------------------------------------------------------
/docs/_images/list.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/list.png
--------------------------------------------------------------------------------
/docs/_images/logo2.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/logo2.jpg
--------------------------------------------------------------------------------
/docs/_images/main_compare.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/main_compare.png
--------------------------------------------------------------------------------
/docs/_images/model_parllel.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/model_parllel.png
--------------------------------------------------------------------------------
/docs/_images/node.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/node.png
--------------------------------------------------------------------------------
/docs/_images/output_11_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_11_2.png
--------------------------------------------------------------------------------
/docs/_images/output_13_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_13_1.png
--------------------------------------------------------------------------------
/docs/_images/output_13_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_13_2.png
--------------------------------------------------------------------------------
/docs/_images/output_15_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_15_2.png
--------------------------------------------------------------------------------
/docs/_images/output_17_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_17_2.png
--------------------------------------------------------------------------------
/docs/_images/output_19_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_19_2.png
--------------------------------------------------------------------------------
/docs/_images/output_1_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_1_2.png
--------------------------------------------------------------------------------
/docs/_images/output_21_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_21_1.png
--------------------------------------------------------------------------------
/docs/_images/output_3_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_3_1.png
--------------------------------------------------------------------------------
/docs/_images/output_44_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_44_1.png
--------------------------------------------------------------------------------
/docs/_images/output_5_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_5_2.png
--------------------------------------------------------------------------------
/docs/_images/output_7_0.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_7_0.png
--------------------------------------------------------------------------------
/docs/_images/output_9_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/output_9_2.png
--------------------------------------------------------------------------------
/docs/_images/prompt.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/prompt.png
--------------------------------------------------------------------------------
/docs/_images/qrcode.jpeg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/qrcode.jpeg
--------------------------------------------------------------------------------
/docs/_images/relative_pos_code.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/relative_pos_code.png
--------------------------------------------------------------------------------
/docs/_images/rotate.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/rotate.png
--------------------------------------------------------------------------------
/docs/_images/screenshot.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/screenshot.png
--------------------------------------------------------------------------------
/docs/_images/shidiannao2.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/shidiannao2.jpg
--------------------------------------------------------------------------------
/docs/_images/shortcut.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/shortcut.jpg
--------------------------------------------------------------------------------
/docs/_images/shortcut1.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/shortcut1.jpg
--------------------------------------------------------------------------------
/docs/_images/source_ok.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/source_ok.png
--------------------------------------------------------------------------------
/docs/_images/split.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/split.png
--------------------------------------------------------------------------------
/docs/_images/ssh_tunnel_UI.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/ssh_tunnel_UI.png
--------------------------------------------------------------------------------
/docs/_images/table.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/table.png
--------------------------------------------------------------------------------
/docs/_images/tb_hist.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/tb_hist.png
--------------------------------------------------------------------------------
/docs/_images/tb_image.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/tb_image.png
--------------------------------------------------------------------------------
/docs/_images/tb_image_grid.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/tb_image_grid.png
--------------------------------------------------------------------------------
/docs/_images/tb_images.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/tb_images.png
--------------------------------------------------------------------------------
/docs/_images/tb_model.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/tb_model.png
--------------------------------------------------------------------------------
/docs/_images/tb_scalar.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/tb_scalar.png
--------------------------------------------------------------------------------
/docs/_images/tb_twolines.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/tb_twolines.png
--------------------------------------------------------------------------------
/docs/_images/torchaudio_feature_extractions.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/torchaudio_feature_extractions.png
--------------------------------------------------------------------------------
/docs/_images/vit_cls_pos.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/vit_cls_pos.png
--------------------------------------------------------------------------------
/docs/_images/wandb_api_keys.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/wandb_api_keys.png
--------------------------------------------------------------------------------
/docs/_images/wandb_config.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/wandb_config.png
--------------------------------------------------------------------------------
/docs/_images/wandb_sys.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/wandb_sys.png
--------------------------------------------------------------------------------
/docs/_images/xshell_set.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/xshell_set.png
--------------------------------------------------------------------------------
/docs/_images/xshell_ui.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_images/xshell_ui.png
--------------------------------------------------------------------------------
/docs/_sources/第一章/1.1 PyTorch简介.md.txt:
--------------------------------------------------------------------------------
1 | # 1.1 PyTorch简介
2 |
3 | PyTorch是由Meta AI(Facebook)人工智能研究小组开发的一种基于Lua编写的Torch库的Python实现的深度学习库,目前被广泛应用于学术界和工业界,相较于Tensorflow2.x,PyTorch在API的设计上更加简洁、优雅和易懂。因此本课程我们选择PyTorch来进行开源学习。
4 |
5 | 经过本节的学习,你将收获:
6 |
7 | - 了解PyTorch的发展流程
8 | - 了解PyTorch相较于其他框架的优势
9 |
10 |
11 | ## 1.1.1 PyTorch的发展
12 |
13 | **“All in PyTorch”**,对于PyTorch的发展我们只能用一句话来概况了,PyTorch自从推出就获得巨大的关注并受到了很多人的喜欢,而最直观的莫过于下面数据所表现的简明直了。
14 |
15 | 下图来自[Paper with code](https://paperswithcode.com/trends)网站,**颜色面积代表使用该框架的论文公开代码库的数量**,我们可以发现截至2021年6月,PyTorch的代码实现已经是TensorFlow实现的4倍,我们也可以看红色部分的PyTorch正在取代他的老大哥称霸学术圈,PyTorch会借助ONNX所带来的落地能力在工业界逐渐走向主导地位。
16 |
17 | 总的来说,我们必须承认到现在为止PyTorch 1.x还是有不如别的框架的地方,但是我们相信PyTorch 2.x版本会给我们带来更大的惊喜。
18 |
19 | 
20 |
21 | ## 1.1.2 PyTorch的优势
22 | + **更加简洁**,相比于其他的框架,PyTorch的框架更加简洁,易于理解。PyTorch的设计追求最少的封装,避免重复造轮子。
23 | + **上手快**,掌握numpy和基本的深度学习知识就可以上手。
24 | + PyTorch有着**良好的文档和社区支持**,作者亲自维护的论坛供用户交流和求教问题。Meta AI(Facebook AI)对PyTorch提供了强力支持,作为当今排名前三的深度学习研究机构,MAIR的支持足以确保PyTorch获得持续的开发更新。
25 | + **项目开源**,在Github上有越来越多的开源代码是使用PyTorch进行开发。
26 | + 可以**更好的调试代码**,PyTorch可以让我们逐行执行我们的脚本。这就像调试NumPy一样 – 我们可以轻松访问代码中的所有对象,并且可以使用打印语句(或其他标准的Python调试)来查看方法失败的位置。
27 | + 越来越完善的扩展库,活力旺盛,正处在**当打之年**。
28 |
29 |
--------------------------------------------------------------------------------
/docs/_sources/第一章/1.3 PyTorch相关资源.md.txt:
--------------------------------------------------------------------------------
1 | # 1.3 PyTorch相关资源
2 |
3 | PyTorch之所以被越来越多的人使用,不仅在于其完备的教程,还受益于许多相关的资源和完善的论坛。
4 |
5 | 经过本节的学习,你将收获:
6 |
7 | - PyTorch的优质学习资源
8 |
9 | ## 1.3.1 PyTorch学习资源
10 | 1. [Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list):目前已获12K Star,包含了NLP,CV,常见库,论文实现以及Pytorch的其他项目。
11 | 2. [PyTorch官方文档](https://pytorch.org/docs/stable/index.html):官方发布的文档,十分丰富。
12 | 3. [Pytorch-handbook](https://github.com/zergtant/pytorch-handbook):GitHub上已经收获14.8K,pytorch手中书。
13 | 4. [PyTorch官方社区](https://discuss.pytorch.org/):PyTorch拥有一个活跃的社区,在这里你可以和开发pytorch的人们进行交流。
14 | 5. [PyTorch官方tutorials](https://pytorch.org/tutorials/):官方编写的tutorials,可以结合colab边动手边学习
15 | 6. [动手学深度学习](https://zh.d2l.ai/):动手学深度学习是由李沐老师主讲的一门深度学习入门课,拥有成熟的书籍资源和课程资源,在B站,Youtube均有回放。
16 | 7. [Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese):常见的中文优质PyTorch资源
17 | 8. [labml.ai Deep Learning Paper Implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations):手把手实现经典网络代码
18 | 9. [YSDA course in Natural Language Processing](https://github.com/yandexdataschool/nlp_course):YSDA course in Natural Language Processing
19 | 10. [huggingface](https://huggingface.co/):hugging face
20 | 11. [ModelScope](https://modelscope.cn/models): 魔搭社区
21 |
22 | 除此之外,还有很多学习pytorch的资源在b站,stackoverflow,知乎......未来大家还需要多多探索,我们希望大家可以在实战中不断学习,不断给予我们课程反馈。
23 |
24 | **以上便是第一章的内容了,能力有限,希望各位一定要带着自己的想法去思考问题,也希望各位能指出文档中的问题,我们会不断改进内容,给大家呈现一个更好的教程。**
25 |
26 |
--------------------------------------------------------------------------------
/docs/_sources/第一章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第一章:PyTorch的简介和安装
2 | ```{toctree}
3 | :maxdepth: 2
4 | 1.1 PyTorch简介
5 | 1.2 PyTorch的安装
6 | 1.3 PyTorch相关资源
7 | ```
--------------------------------------------------------------------------------
/docs/_sources/第七章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第七章:PyTorch可视化
2 | ```{toctree}
3 | :maxdepth: 2
4 | 7.1 可视化网络结构
5 | 7.2 CNN卷积层可视化
6 | 7.3 使用TensorBoard可视化训练过程
7 | 7.4 使用wandb可视化训练过程
8 | ```
--------------------------------------------------------------------------------
/docs/_sources/第三章/3.1 思考:完成深度学习的必要部分.md.txt:
--------------------------------------------------------------------------------
1 | # 3.1 思考:完成深度学习的必要部分
2 |
3 | 经过本节的学习,你将收获:
4 |
5 | - 一项机器学习/深度学习任务的整体流程
6 | - 在机器学习和深度学习的每个部分的作用
7 |
8 | 一项机器学习任务时常常有以下的几个重要步骤,首先是**数据的预处理**,其中重要的步骤包括数据格式的统一、异常数据的消除和必要的数据变换,同时**划分训练集、验证集、测试集**,常见的方法包括:按比例随机选取,KFold方法(我们可以使用sklearn带的test_train_split函数、kfold来实现)。接下来**选择模型**,并设定**损失函数和优化方法**,以及对应的**超参数**(当然可以使用sklearn这样的机器学习库中模型自带的损失函数和优化器)。最后用模型去拟合训练集数据,并在**验证集/测试集上计算模型表现**。
9 |
10 | 深度学习和机器学习在流程上类似,但在代码实现上有较大的差异。首先,**由于深度学习所需的样本量很大,一次加载全部数据运行可能会超出内存容量而无法实现;同时还有批(batch)训练等提高模型表现的策略,需要每次训练读取固定数量的样本送入模型中训练**,因此深度学习在数据加载上需要有专门的设计。
11 |
12 | 在模型实现上,深度学习和机器学习也有很大差异。由于深度神经网络层数往往较多,同时会有一些用于实现特定功能的层(如卷积层、池化层、批正则化层、LSTM层等),因此**深度神经网络往往需要“逐层”搭建,或者预先定义好可以实现特定功能的模块,再把这些模块组装起来**。这种“定制化”的模型构建方式能够充分保证模型的灵活性,也对代码实现提出了新的要求。
13 |
14 | 接下来是损失函数和优化器的设定。这部分和经典机器学习的实现是类似的。但由于模型设定的灵活性,**因此损失函数和优化器要能够保证反向传播能够在用户自行定义的模型结构上实现**。
15 |
16 | 上述步骤完成后就可以开始训练了。我们前面介绍了GPU的概念和GPU用于并行计算加速的功能,不过**程序默认是在CPU上运行的**,因此在代码实现中,需要把模型和数据“放到”GPU上去做运算,同时还需要保证损失函数和优化器能够在GPU上工作。如果使用多张GPU进行训练,还需要考虑模型和数据分配、整合的问题。此外,后续计算一些指标还需要把数据“放回”CPU。这里涉及到了一系列**有关于GPU的配置和操作**。
17 |
18 | **深度学习中训练和验证过程最大的特点在于读入数据是按批的,每次读入一个批次的数据,放入GPU中训练,然后将损失函数反向传播回网络最前面的层,同时使用优化器调整网络参数。这里会涉及到各个模块配合的问题。训练/验证后还需要根据设定好的指标计算模型表现。**
19 |
20 | 经过以上步骤,一个深度学习任务就完成了。我们在详细讲解每个部分之前,先梳理了完成各个部分所需的功能,下面我们就去进一步了解一下PyTorch是如何实现各个部分的,以及PyTorch作为一个深度学习框架拥有的模块化特点。
21 |
--------------------------------------------------------------------------------
/docs/_sources/第三章/3.2 基本配置.md.txt:
--------------------------------------------------------------------------------
1 | # 3.2 基本配置
2 | 对于一个PyTorch项目,我们需要导入一些Python常用的包来帮助我们快速实现功能。常见的包有os、numpy等,此外还需要调用PyTorch自身一些模块便于灵活使用,比如torch、torch.nn、torch.utils.data.Dataset、torch.utils.data.DataLoader、torch.optimizer等等。
3 |
4 | 经过本节的学习,你将收获:
5 |
6 | - 在深度学习/机器学习中常用到的包
7 | - GPU的配置
8 |
9 | 首先导入必须的包。注意这里**只是建议导入的包导入的方式**,可以采用不同的方案,比如涉及到表格信息的读入很可能用到pandas,对于不同的项目可能还需要导入一些更上层的包如cv2等。如果涉及可视化还会用到matplotlib、seaborn等。涉及到下游分析和指标计算也常用到sklearn。
10 |
11 | ```python
12 | import os
13 | import numpy as np
14 | import torch
15 | import torch.nn as nn
16 | from torch.utils.data import Dataset, DataLoader
17 | import torch.optim as optimizer
18 | ```
19 |
20 | 根据前面我们对深度学习任务的梳理,有如下几个超参数可以统一设置,方便后续调试时修改:
21 |
22 | - batch size
23 | - 初始学习率(初始)
24 | - 训练次数(max_epochs)
25 | - GPU配置
26 |
27 | ```python
28 | batch_size = 16
29 | # 批次的大小
30 | lr = 1e-4
31 | # 优化器的学习率
32 | max_epochs = 100
33 | ```
34 | 除了直接将超参数设置在训练的代码里,我们也可以使用yaml、json,dict等文件来存储超参数,这样可以方便后续的调试和修改,这种方式也是常见的深度学习库(mmdetection,Paddledetection,detectron2)和一些AI Lab里面比较常见的一种参数设置方式。
35 |
36 | 我们的数据和模型如果没有经过显式指明设备,默认会存储在CPU上,为了加速模型的训练,我们需要显式调用GPU,一般情况下GPU的设置有两种常见的方式:
37 |
38 | ```python
39 | # 方案一:使用os.environ,这种情况如果使用GPU不需要设置
40 | import os
41 | os.environ['CUDA_VISIBLE_DEVICES'] = '0,1' # 指明调用的GPU为0,1号
42 |
43 | # 方案二:使用“device”,后续对要使用GPU的变量用.to(device)即可
44 | device = torch.device("cuda:1" if torch.cuda.is_available() else "cpu") # 指明调用的GPU为1号
45 | ```
46 |
47 |
48 | 当然还会有一些其他模块或用户自定义模块会用到的参数,有需要也可以在一开始进行设置。
--------------------------------------------------------------------------------
/docs/_sources/第三章/3.8 可视化.md.txt:
--------------------------------------------------------------------------------
1 | # 3.8 可视化
2 |
3 | 在PyTorch深度学习中,可视化是一个可选项,指的是某些任务在训练完成后,需要对一些必要的内容进行可视化,比如分类的ROC曲线,卷积网络中的卷积核,以及训练/验证过程的损失函数曲线等等。具体的可视化方法可以参考第七章。
4 |
5 |
--------------------------------------------------------------------------------
/docs/_sources/第三章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第三章:PyTorch的主要组成模块
2 | ```{toctree}
3 | :maxdepth: 2
4 | 3.1 思考:完成深度学习的必要部分
5 | 3.2 基本配置
6 | 3.3 数据读入
7 | 3.4 模型构建
8 | 3.5 模型初始化
9 | 3.6 损失函数
10 | 3.7 训练与评估
11 | 3.8 可视化
12 | 3.9 优化器
13 | ```
--------------------------------------------------------------------------------
/docs/_sources/第九章/9.1 图像分类.md.txt:
--------------------------------------------------------------------------------
1 | # 9.1 图像分类(补充中)
--------------------------------------------------------------------------------
/docs/_sources/第九章/9.2 目标检测.md.txt:
--------------------------------------------------------------------------------
1 | # 目标检测
2 | ## 目标检测概述
3 | 目标检测是计算机视觉的一个重要任务,根据整张图像内容进行描述,并结合目标物体的特征信息,确定该物体的类别与位置。不同于图像分类任务中我们只需要输出图像中主要物体对象的类标,在目标检测任务中,一张图像里往往含有多个物体对象,我们不仅需要输出这些物体的类标,同时还需要输出这些物体的位置,在表示位置时,我们一般采用目标检测边缘框bounding box进行表示,bounding box是一组坐标值,常见形式为(x1,y1,x2,y2),其中x1代表物体左上x坐标,y1代表左上y坐标,x2代表物体右下x坐标,y2代表物体右下y坐标。
4 | ## 目标检测应用
5 | 目标检测技术不同于图像分类单一输出物体的种类,它将物体的位置和种类一起输出,这使得目标检测在一些领域有着重要的作用,目标检测常用于人脸检测、智慧交通、机器人、无人驾驶、遥感目标检测、安防领域检测异常、行人计数、安全系统等各大领域。
6 | ## 目标检测数据集
7 | 目标检测的数据集通常来说比图片分类的数据集小很多,因为每一张图片的标注的成本很高,相较于图片分类的常见标注方法是给定一个CSV文件(图片与标号一一对应)或者是给定一个文件夹(每个类对应一个子文件夹,对应标号的图片放在子文件夹下),但是对于目标检测来说因为一张图片中可能存在多个类,所以我们就不能放在子文件夹中,所以通常来说目标检测的数据集的标号需要额外存储,常见的存储格式有PASCAL VOC的格式和COCO的标注格式。假设使用文本文件存储的话,每一行表示一个物体,每一行分别由图片文件名(因为一张图片中可能有多个物体,所以同一个文件名可能会出现多次)、物体类别(标号)、边缘框(图片中物体的位置)组成,每一行一共有6(1+1+4)个值
8 | 目标检测常用的数据集有PASCAL VOC2007, MS COCO
9 | ### COCO数据集
10 | 目标检测中比较常见的数据集,类似于Imagenet在图片分类中的地位
11 | 访问地址:https://cocodataset.org/#home
12 | COCO数据集中有 80 个类别,330k 图片,1.5M 物体(每张图片中有多个物体)
13 |
14 | ## 目标检测常用算法
15 | 随着算力的发展和深度学习的发展,目标检测经历了从基于手工设计特征的方法到基于深度学习提取特征的阶段。在早期,目标检测技术往往采用手工设计特征(Haar特征、梯度直方图HOG)加分类器(SVM、AdaBoost)的方法实现。随着卷积神经网络的发展,目标检测出现了一系列的基于卷积神经网络的目标检测技术,包括R-CNN系列,SSD系列,YOLO系列等。随着Transformer在自然语言处理和计算机视觉的发展,也出现了基于Transformer的目标检测技术,代表工作有DETR系列。在本部分,我们主要介绍基于深度学习的目标检测技术并进行部分代码的解读。
16 | 我们可以将基于深度学习的目标检测技术按照有无使用锚点框分为基于锚点框的目标检测方法(Anchor-based),无锚点框的目标检测方法(Anchor-free)和端到端的目标检测方法(Anchor-free)。其中端到端的目标检测技术也是属于特殊的无锚点框的目标检测方法。
17 | 我们可以将基于锚点框的目标检测方法分为单阶段目标检测方法(One-Stage)和两阶段目标检测方法(Two-Stage),其中单阶段目标检测方法代表作有YOLO (You Only Look Once)和SSD (Single Shot Detector),两阶段目标检测方法的代表作有R-CNN(R-CNN,Fast RCNN,Faster RCNN,Mask RCNN,Cascade RCNN,SPPNet)系列。一般而言,两阶段目标检测具有较高的检测精度,而单阶段目标检测方法具有更高的精度。
18 | 同样,我们可以将无锚点框的目标检测方法分为基于目标点的目标检测方法和基于内部点的目标检测方法。
19 | 端到端的目标检测方法
20 |
21 |
22 |
23 |
24 |
--------------------------------------------------------------------------------
/docs/_sources/第九章/9.3 图像分割.md.txt:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_sources/第九章/9.3 图像分割.md.txt
--------------------------------------------------------------------------------
/docs/_sources/第九章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第九章:PyTorch的模型部署
2 | ```{toctree}
3 | :maxdepth: 2
4 | 9.1 使用ONNX进行部署并推理
5 | ```
--------------------------------------------------------------------------------
/docs/_sources/第二章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第二章:PyTorch基础知识
2 | ```{toctree}
3 | :maxdepth: 2
4 | 2.1 张量
5 | 2.2 自动求导
6 | 2.3 并行计算简介
7 | 2.4 AI硬件加速设备
8 | ```
--------------------------------------------------------------------------------
/docs/_sources/第五章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第五章:PyTorch模型定义
2 | ```{toctree}
3 | :maxdepth: 2
4 | 5.1 PyTorch模型定义的方式
5 | 5.2 利用模型块快速搭建复杂网络
6 | 5.3 PyTorch修改模型
7 | 5.4 PyTorh模型保存与读取
8 | ```
--------------------------------------------------------------------------------
/docs/_sources/第八章/8.1 本章简介.md.txt:
--------------------------------------------------------------------------------
1 | # 8.1 本章简介
2 |
3 | 恭喜你,经过前面七章内容的学习,你已经逐步熟悉了PyTorch的使用,能够定义和修改自己的模型,学会了常用的训练技巧,并通过可视化辅助PyTorch的使用。
4 |
5 | PyTorch的强大并不仅局限于自身的易用性,更在于开源社区围绕PyTorch所产生的一系列工具包(一般是Python package)和程序,这些优秀的工具包极大地方便了PyTorch在特定领域的使用。比如对于计算机视觉,有TorchVision、TorchVideo等用于图片和视频处理;对于自然语言处理,有torchtext;对于图卷积网络,有PyTorch Geometric ······。这里只是举例,每个领域还有很多优秀的工具包供社区使用。这些工具包共同构成了PyTorch的生态(EcoSystem)。
6 |
7 | PyTorch生态很大程度助力了PyTorch的推广与成功。在特定领域使用PyTorch生态中的工具包,能够极大地降低入门门槛,方便复现已有的工作。比如我们在讨论模型修改时候就用到了torchvision中预定义的resnet结构,而不需要自己重新编写。同时,PyTorch生态有助于社区力量的加入,共同为社区提供更有价值的内容和程序,这也是开源理念所坚持的价值。
8 |
9 | 在后面的内容中,我们会逐步介绍PyTorch生态在图像、视频、文本等领域中的发展,针对某个领域我们选择其中有代表性的一个工具包进行详细介绍,主要包括工具包的作者或其所在机构、数据预处理工具(这块可能再引入第三方工具包)、数据扩增、常用模型结构的预定义、预训练模型权重、常用损失函数、常用评测指标、封装好的训练&测试模块,以及可视化工具。这些内容也是我们在使用对应工具包时会用到的。读者可以根据自身需要重点学习,对于自己研究所不涉及的工具包,可以只做了解,需要使用时再来学习。
10 |
11 |
12 |
13 | **注:**
14 |
15 | 本章内容会不断更新,欢迎大家在issue中提出宝贵建议,或者直接pull request~
16 |
17 |
--------------------------------------------------------------------------------
/docs/_sources/第八章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第八章:PyTorch生态简介
2 | ```{toctree}
3 | :maxdepth: 2
4 | 8.1 本章简介
5 | 8.2 图像 - torchvision
6 | 8.3 视频 - PyTorchVideo
7 | 8.4 文本 - torchtext
8 | 8.5 音频 - torchaudio
9 | ```
--------------------------------------------------------------------------------
/docs/_sources/第六章/6.4 半精度训练.md.txt:
--------------------------------------------------------------------------------
1 | # 6.4 半精度训练
2 |
3 | 我们提到PyTorch时候,总会想到要用硬件设备GPU的支持。而GPU的性能主要分为两部分:算力和显存,前者决定了显卡计算的速度,后者则决定了显卡可以同时放入多少数据用于计算。在可以使用的显存数量一定的情况下,每次训练能够加载的数据更多(也就是batch size更大),则也可以提高训练效率。另外,有时候数据本身也比较大(比如3D图像、视频等),显存较小的情况下可能甚至batch size为1的情况都无法实现。因此,合理使用显存也就显得十分重要。
4 |
5 | 我们观察PyTorch默认的浮点数存储方式用的是`torch.float32`,小数点后位数更多固然能保证数据的精确性,但绝大多数场景其实并不需要这么精确,只保留一半的信息也不会影响结果,也就是使用`torch.float16`格式。由于数位减了一半,因此被称为“半精度”,具体如下图:
6 |
7 | 
8 |
9 | 显然半精度能够减少显存占用,使得显卡可以同时加载更多数据进行计算。本节会介绍如何在PyTorch中设置使用半精度计算。
10 |
11 | 经过本节的学习,你将收获:
12 |
13 | - 如何在PyTorch中设置半精度训练
14 | - 使用半精度训练的注意事项
15 |
16 |
17 | ## 6.4.1 半精度训练的设置
18 |
19 | 在PyTorch中使用autocast配置半精度训练,同时需要在下面三处加以设置:
20 |
21 | - **import autocast**
22 |
23 | ```python
24 | from torch.cuda.amp import autocast
25 | ```
26 |
27 | - **模型设置**
28 |
29 | 在模型定义中,使用python的装饰器方法,用autocast装饰模型中的forward函数。关于装饰器的使用,可以参考[这里](https://www.cnblogs.com/jfdwd/p/11253925.html):
30 |
31 | ```python
32 | @autocast()
33 | def forward(self, x):
34 | ...
35 | return x
36 | ```
37 |
38 | - **训练过程**
39 |
40 | 在训练过程中,只需在将数据输入模型及其之后的部分放入“with autocast():“即可:
41 |
42 | ```python
43 | for x in train_loader:
44 | x = x.cuda()
45 | with autocast():
46 | output = model(x)
47 | ...
48 | ```
49 |
50 | **注意:**
51 |
52 | 半精度训练主要适用于数据本身的size比较大(比如说3D图像、视频等)。当数据本身的size并不大时(比如手写数字MNIST数据集的图片尺寸只有28*28),使用半精度训练则可能不会带来显著的提升。
53 |
54 |
--------------------------------------------------------------------------------
/docs/_sources/第六章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第六章:PyTorch进阶训练技巧
2 | ```{toctree}
3 | :maxdepth: 2
4 | 6.1 自定义损失函数
5 | 6.2 动态调整学习率
6 | 6.3 模型微调-torchvision
7 | 6.3 模型微调-timm
8 | 6.4 半精度训练
9 | 6.5 数据增强-imgaug
10 | 6.6 使用argparse进行调参
11 | ```
--------------------------------------------------------------------------------
/docs/_sources/第十章/10.1 图像分类.md.txt:
--------------------------------------------------------------------------------
1 | # 10.1 图像分类简介(补充中)
--------------------------------------------------------------------------------
/docs/_sources/第十章/10.3 图像分割.md.txt:
--------------------------------------------------------------------------------
1 | # 10.3 图像分割简介(补充中)
--------------------------------------------------------------------------------
/docs/_sources/第十章/YOLO系列解读/torch实现/README.md.txt:
--------------------------------------------------------------------------------
1 | 这是torch版本的yolo解读
--------------------------------------------------------------------------------
/docs/_sources/第十章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第十章:常见代码解读
2 | ```{toctree}
3 | :maxdepth: 2
4 | 10.1 图像分类
5 | 10.2 目标检测
6 | 10.3 图像分割
7 | ResNet源码解读
8 | RNN详解及其实现
9 | LSTM解读及实战
10 | Transformer 解读
11 | ViT解读
12 | Swin-Transformer解读
13 | ```
--------------------------------------------------------------------------------
/docs/_sources/第四章/4.2 GoogleNet.md.txt:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_sources/第四章/4.2 GoogleNet.md.txt
--------------------------------------------------------------------------------
/docs/_sources/第四章/4.3 DenseNet.md.txt:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_sources/第四章/4.3 DenseNet.md.txt
--------------------------------------------------------------------------------
/docs/_sources/第四章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第四章:PyTorch基础实战
2 | ```{toctree}
3 | :maxdepth: 2
4 | 4.1 ResNet
5 | 4.2 GoogLeNet
6 | 4.3 DenseNet
7 | 4.4 FashionMNIST图像分类
8 | ```
--------------------------------------------------------------------------------
/docs/_sources/第零章/0.1 深度学习基础知识.md.txt:
--------------------------------------------------------------------------------
1 | # 0.1 深度学习基础知识
2 |
3 | 考虑到我们的学习者中不乏有着零基础的初学者,如果不了解概念的基础知识可能会对理解和学习出现困难,因此在这一章中,我们将针对零基础的初学者们,用一些通俗的语言并且结合自己的理解讲述深度学习的一些基础知识。
4 |
5 | 经过本节的学习,你将收获:
6 |
7 | - 了解机器学习、深度学习和人工智能之间的关系
8 | - 了解深度学习中的名词含义
9 | - 了解人工智能发展简史
10 |
11 | ## 一、人工智能发展简史
12 | ## 二、深度学习、机器学习和人工智能的关系
13 | ### 神经网络
14 | ### 卷积
15 | ### 激活函数
16 | ### 优化器
17 | ### 池化
18 | ### 反向传播
19 | ### 随机丢弃
20 | ### 批量归一化
21 | ### 损失函数
22 | ## 三、计算机视觉简介
23 | ## 四、自然语言处理简介
24 |
25 |
--------------------------------------------------------------------------------
/docs/_sources/第零章/0.2 数学基础知识.md.txt:
--------------------------------------------------------------------------------
1 | ### BP反向传播
2 | ## 分类问题的度量
3 | ### 混淆矩阵
4 | ### Accuracy
5 | ### Precision
6 | ### Recall
7 | ### F1 score
8 | ### ROC
9 | ## 回归指标
10 | ### R squared
11 | ### Mallow's Cp
12 | ### AIC,BIC
13 | ## 模型选择
14 | ### 交叉验证
15 | ### 正则化
16 | ## 诊断
17 | ### 偏差/方差均衡
18 | ### 错误分析
19 | ### 烧灼分析
--------------------------------------------------------------------------------
/docs/_sources/第零章/0.3 常用包的学习.md.txt:
--------------------------------------------------------------------------------
1 | # 常用包的学习
2 | ## Numpy
3 | ## pandas
4 | ## matplotlib
--------------------------------------------------------------------------------
/docs/_sources/第零章/index.md.txt:
--------------------------------------------------------------------------------
1 | # 第零章:前置知识
2 | ```{toctree}
3 | :maxdepth: 2
4 | 0.1 人工智能简史
5 | 0.2 评价指标
6 | 0.3 常用包的学习
7 | 0.4 Jupyter相关操作
8 | ```
--------------------------------------------------------------------------------
/docs/_static/documentation_options.js:
--------------------------------------------------------------------------------
1 | var DOCUMENTATION_OPTIONS = {
2 | URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
3 | VERSION: '0.0.1',
4 | LANGUAGE: 'zh',
5 | COLLAPSE_INDEX: false,
6 | BUILDER: 'html',
7 | FILE_SUFFIX: '.html',
8 | LINK_SUFFIX: '.html',
9 | HAS_SOURCE: true,
10 | SOURCELINK_SUFFIX: '.txt',
11 | NAVIGATION_WITH_KEYS: true,
12 | SHOW_SEARCH_SUMMARY: true,
13 | ENABLE_SEARCH_SHORTCUTS: true,
14 | };
--------------------------------------------------------------------------------
/docs/_static/file.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/file.png
--------------------------------------------------------------------------------
/docs/_static/images/logo_binder.svg:
--------------------------------------------------------------------------------
1 |
2 |
3 |
20 |
--------------------------------------------------------------------------------
/docs/_static/images/logo_colab.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/images/logo_colab.png
--------------------------------------------------------------------------------
/docs/_static/images/logo_deepnote.svg:
--------------------------------------------------------------------------------
1 |
2 |
--------------------------------------------------------------------------------
/docs/_static/images/logo_jupyterhub.svg:
--------------------------------------------------------------------------------
1 |
2 |
--------------------------------------------------------------------------------
/docs/_static/locales/ar/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ar\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "قم بتنزيل هذه الصفحة"
13 |
14 | msgid "Download notebook file"
15 | msgstr "تنزيل ملف دفتر الملاحظات"
16 |
17 | msgid "Open an issue"
18 | msgstr "افتح قضية"
19 |
20 | msgid "repository"
21 | msgstr "مخزن"
22 |
23 | msgid "Theme by the"
24 | msgstr "موضوع بواسطة"
25 |
26 | msgid "Contents"
27 | msgstr "محتويات"
28 |
29 | msgid "next page"
30 | msgstr "الصفحة التالية"
31 |
32 | msgid "Last updated on"
33 | msgstr "آخر تحديث في"
34 |
35 | msgid "Launch"
36 | msgstr "إطلاق"
37 |
38 | msgid "Edit this page"
39 | msgstr "قم بتحرير هذه الصفحة"
40 |
41 | msgid "Source repository"
42 | msgstr "مستودع المصدر"
43 |
44 | msgid "Download source file"
45 | msgstr "تنزيل ملف المصدر"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "موضوع كتاب أبو الهول"
49 |
50 | msgid "Copyright"
51 | msgstr "حقوق النشر"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "وضع ملء الشاشة"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "ابحث في المستندات ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "أقترح تحرير"
61 |
62 | msgid "Search this book..."
63 | msgstr "بحث في هذا الكتاب ..."
64 |
65 | msgid "By"
66 | msgstr "بواسطة"
67 |
68 | msgid "open issue"
69 | msgstr "قضية مفتوحة"
70 |
71 | msgid "Print to PDF"
72 | msgstr "طباعة إلى PDF"
73 |
74 | msgid "previous page"
75 | msgstr "الصفحة السابقة"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "تبديل التنقل"
79 |
80 | msgid "By the"
81 | msgstr "بواسطة"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/bn/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: bn\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
13 |
14 | msgid "Download notebook file"
15 | msgstr "নোটবুক ফাইল ডাউনলোড করুন"
16 |
17 | msgid "Open an issue"
18 | msgstr "একটি সমস্যা খুলুন"
19 |
20 | msgid "Theme by the"
21 | msgstr "থিম দ্বারা"
22 |
23 | msgid "next page"
24 | msgstr "পরবর্তী পৃষ্ঠা"
25 |
26 | msgid "Last updated on"
27 | msgstr "সর্বশেষ আপডেট"
28 |
29 | msgid "Launch"
30 | msgstr "শুরু করা"
31 |
32 | msgid "Edit this page"
33 | msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
34 |
35 | msgid "Source repository"
36 | msgstr "উত্স সংগ্রহস্থল"
37 |
38 | msgid "Download source file"
39 | msgstr "উত্স ফাইল ডাউনলোড করুন"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "স্পিনিক্স বুক থিম"
43 |
44 | msgid "Copyright"
45 | msgstr "কপিরাইট"
46 |
47 | msgid "Search this book..."
48 | msgstr "এই বইটি অনুসন্ধান করুন ..."
49 |
50 | msgid "By"
51 | msgstr "দ্বারা"
52 |
53 | msgid "open issue"
54 | msgstr "খোলা সমস্যা"
55 |
56 | msgid "Print to PDF"
57 | msgstr "পিডিএফ প্রিন্ট করুন"
58 |
59 | msgid "previous page"
60 | msgstr "আগের পৃষ্ঠা"
61 |
62 | msgid "Toggle navigation"
63 | msgstr "নেভিগেশন টগল করুন"
64 |
65 | msgid "By the"
66 | msgstr "দ্বারা"
67 |
--------------------------------------------------------------------------------
/docs/_static/locales/ca/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ca\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Descarregueu aquesta pàgina"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Descarregar fitxer de quadern"
16 |
17 | msgid "Open an issue"
18 | msgstr "Obriu un número"
19 |
20 | msgid "Theme by the"
21 | msgstr "Tema del"
22 |
23 | msgid "next page"
24 | msgstr "pàgina següent"
25 |
26 | msgid "Last updated on"
27 | msgstr "Darrera actualització el"
28 |
29 | msgid "Launch"
30 | msgstr "Llançament"
31 |
32 | msgid "Edit this page"
33 | msgstr "Editeu aquesta pàgina"
34 |
35 | msgid "Source repository"
36 | msgstr "Dipòsit de fonts"
37 |
38 | msgid "Download source file"
39 | msgstr "Baixeu el fitxer font"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "Tema del llibre Esfinx"
43 |
44 | msgid "Copyright"
45 | msgstr "Copyright"
46 |
47 | msgid "suggest edit"
48 | msgstr "suggerir edició"
49 |
50 | msgid "Search this book..."
51 | msgstr "Cerca en aquest llibre ..."
52 |
53 | msgid "By"
54 | msgstr "Per"
55 |
56 | msgid "open issue"
57 | msgstr "número obert"
58 |
59 | msgid "Print to PDF"
60 | msgstr "Imprimeix a PDF"
61 |
62 | msgid "previous page"
63 | msgstr "Pàgina anterior"
64 |
65 | msgid "Toggle navigation"
66 | msgstr "Commuta la navegació"
67 |
68 | msgid "By the"
69 | msgstr "Per la"
70 |
--------------------------------------------------------------------------------
/docs/_static/locales/cs/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: cs\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Stáhněte si tuto stránku"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Stáhnout soubor poznámkového bloku"
16 |
17 | msgid "Open an issue"
18 | msgstr "Otevřete problém"
19 |
20 | msgid "repository"
21 | msgstr "úložiště"
22 |
23 | msgid "Theme by the"
24 | msgstr "Téma od"
25 |
26 | msgid "Contents"
27 | msgstr "Obsah"
28 |
29 | msgid "next page"
30 | msgstr "další strana"
31 |
32 | msgid "Last updated on"
33 | msgstr "Naposledy aktualizováno"
34 |
35 | msgid "Launch"
36 | msgstr "Zahájení"
37 |
38 | msgid "Edit this page"
39 | msgstr "Upravit tuto stránku"
40 |
41 | msgid "Source repository"
42 | msgstr "Zdrojové úložiště"
43 |
44 | msgid "Download source file"
45 | msgstr "Stáhněte si zdrojový soubor"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Téma knihy Sfinga"
49 |
50 | msgid "Copyright"
51 | msgstr "autorská práva"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Režim celé obrazovky"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Hledat v dokumentech ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "navrhnout úpravy"
61 |
62 | msgid "Search this book..."
63 | msgstr "Hledat v této knize ..."
64 |
65 | msgid "By"
66 | msgstr "Podle"
67 |
68 | msgid "open issue"
69 | msgstr "otevřené číslo"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Tisk do PDF"
73 |
74 | msgid "previous page"
75 | msgstr "předchozí stránka"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Přepnout navigaci"
79 |
80 | msgid "By the"
81 | msgstr "Podle"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/da/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: da\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Download denne side"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Download notesbog-fil"
16 |
17 | msgid "Open an issue"
18 | msgstr "Åbn et problem"
19 |
20 | msgid "repository"
21 | msgstr "lager"
22 |
23 | msgid "Theme by the"
24 | msgstr "Tema af"
25 |
26 | msgid "Contents"
27 | msgstr "Indhold"
28 |
29 | msgid "next page"
30 | msgstr "Næste side"
31 |
32 | msgid "Last updated on"
33 | msgstr "Sidst opdateret den"
34 |
35 | msgid "Launch"
36 | msgstr "Start"
37 |
38 | msgid "Edit this page"
39 | msgstr "Rediger denne side"
40 |
41 | msgid "Source repository"
42 | msgstr "Kildelager"
43 |
44 | msgid "Download source file"
45 | msgstr "Download kildefil"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sphinx bogtema"
49 |
50 | msgid "Copyright"
51 | msgstr "ophavsret"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Fuldskærmstilstand"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Søg i dokumenterne ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "foreslå redigering"
61 |
62 | msgid "Search this book..."
63 | msgstr "Søg i denne bog ..."
64 |
65 | msgid "By"
66 | msgstr "Ved"
67 |
68 | msgid "open issue"
69 | msgstr "åbent nummer"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Udskriv til PDF"
73 |
74 | msgid "previous page"
75 | msgstr "forrige side"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Skift navigation"
79 |
80 | msgid "By the"
81 | msgstr "Ved"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/eo/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: eo\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Elŝutu ĉi tiun paĝon"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Elŝutu kajeran dosieron"
16 |
17 | msgid "Open an issue"
18 | msgstr "Malfermu numeron"
19 |
20 | msgid "repository"
21 | msgstr "deponejo"
22 |
23 | msgid "Theme by the"
24 | msgstr "Temo de la"
25 |
26 | msgid "Contents"
27 | msgstr "Enhavo"
28 |
29 | msgid "next page"
30 | msgstr "sekva paĝo"
31 |
32 | msgid "Last updated on"
33 | msgstr "Laste ĝisdatigita la"
34 |
35 | msgid "Launch"
36 | msgstr "Lanĉo"
37 |
38 | msgid "Edit this page"
39 | msgstr "Redaktu ĉi tiun paĝon"
40 |
41 | msgid "Source repository"
42 | msgstr "Fonto-deponejo"
43 |
44 | msgid "Download source file"
45 | msgstr "Elŝutu fontodosieron"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sfinksa Libro-Temo"
49 |
50 | msgid "Copyright"
51 | msgstr "Kopirajto"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Plenekrana reĝimo"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Serĉu la dokumentojn ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "sugesti redaktadon"
61 |
62 | msgid "Search this book..."
63 | msgstr "Serĉu ĉi tiun libron ..."
64 |
65 | msgid "By"
66 | msgstr "De"
67 |
68 | msgid "open issue"
69 | msgstr "malferma numero"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Presi al PDF"
73 |
74 | msgid "previous page"
75 | msgstr "antaŭa paĝo"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Ŝalti navigadon"
79 |
80 | msgid "By the"
81 | msgstr "Per la"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/et/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: et\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Laadige see leht alla"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Laadige sülearvuti fail alla"
16 |
17 | msgid "Open an issue"
18 | msgstr "Avage probleem"
19 |
20 | msgid "repository"
21 | msgstr "hoidla"
22 |
23 | msgid "Theme by the"
24 | msgstr "Teema"
25 |
26 | msgid "Contents"
27 | msgstr "Sisu"
28 |
29 | msgid "next page"
30 | msgstr "järgmine leht"
31 |
32 | msgid "Last updated on"
33 | msgstr "Viimati uuendatud"
34 |
35 | msgid "Launch"
36 | msgstr "Käivitage"
37 |
38 | msgid "Edit this page"
39 | msgstr "Muutke seda lehte"
40 |
41 | msgid "Source repository"
42 | msgstr "Allikahoidla"
43 |
44 | msgid "Download source file"
45 | msgstr "Laadige alla lähtefail"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sfinksiraamatu teema"
49 |
50 | msgid "Copyright"
51 | msgstr "Autoriõigus"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Täisekraanirežiim"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Dokumentidest otsimine ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "soovita muuta"
61 |
62 | msgid "Search this book..."
63 | msgstr "Otsige sellest raamatust ..."
64 |
65 | msgid "By"
66 | msgstr "Kõrval"
67 |
68 | msgid "open issue"
69 | msgstr "avatud küsimus"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Prindi PDF-i"
73 |
74 | msgid "previous page"
75 | msgstr "eelmine leht"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Lülita navigeerimine sisse"
79 |
80 | msgid "By the"
81 | msgstr "Autor"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/fi/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: fi\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Lataa tämä sivu"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Lataa muistikirjatiedosto"
16 |
17 | msgid "Open an issue"
18 | msgstr "Avaa ongelma"
19 |
20 | msgid "repository"
21 | msgstr "arkisto"
22 |
23 | msgid "Theme by the"
24 | msgstr "Teeman tekijä"
25 |
26 | msgid "Contents"
27 | msgstr "Sisällys"
28 |
29 | msgid "next page"
30 | msgstr "seuraava sivu"
31 |
32 | msgid "Last updated on"
33 | msgstr "Viimeksi päivitetty"
34 |
35 | msgid "Launch"
36 | msgstr "Tuoda markkinoille"
37 |
38 | msgid "Edit this page"
39 | msgstr "Muokkaa tätä sivua"
40 |
41 | msgid "Source repository"
42 | msgstr "Lähteen arkisto"
43 |
44 | msgid "Download source file"
45 | msgstr "Lataa lähdetiedosto"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sphinx-kirjan teema"
49 |
50 | msgid "Copyright"
51 | msgstr "Tekijänoikeus"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Koko näytön tila"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Hae dokumenteista ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "ehdottaa muokkausta"
61 |
62 | msgid "Search this book..."
63 | msgstr "Hae tästä kirjasta ..."
64 |
65 | msgid "By"
66 | msgstr "Tekijä"
67 |
68 | msgid "open issue"
69 | msgstr "avoin ongelma"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Tulosta PDF-tiedostoon"
73 |
74 | msgid "previous page"
75 | msgstr "Edellinen sivu"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Vaihda navigointia"
79 |
80 | msgid "By the"
81 | msgstr "Mukaan"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/id/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: id\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Unduh halaman ini"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Unduh file notebook"
16 |
17 | msgid "Open an issue"
18 | msgstr "Buka masalah"
19 |
20 | msgid "repository"
21 | msgstr "gudang"
22 |
23 | msgid "Theme by the"
24 | msgstr "Tema oleh"
25 |
26 | msgid "Contents"
27 | msgstr "Isi"
28 |
29 | msgid "next page"
30 | msgstr "halaman selanjutnya"
31 |
32 | msgid "Last updated on"
33 | msgstr "Terakhir diperbarui saat"
34 |
35 | msgid "Launch"
36 | msgstr "Meluncurkan"
37 |
38 | msgid "Edit this page"
39 | msgstr "Edit halaman ini"
40 |
41 | msgid "Source repository"
42 | msgstr "Repositori sumber"
43 |
44 | msgid "Download source file"
45 | msgstr "Unduh file sumber"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Tema Buku Sphinx"
49 |
50 | msgid "Copyright"
51 | msgstr "hak cipta"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Mode layar penuh"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Telusuri dokumen ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "menyarankan edit"
61 |
62 | msgid "Search this book..."
63 | msgstr "Telusuri buku ini ..."
64 |
65 | msgid "By"
66 | msgstr "Oleh"
67 |
68 | msgid "open issue"
69 | msgstr "masalah terbuka"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Cetak ke PDF"
73 |
74 | msgid "previous page"
75 | msgstr "halaman sebelumnya"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Alihkan navigasi"
79 |
80 | msgid "By the"
81 | msgstr "Oleh"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/iw/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: iw\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "הורד דף זה"
13 |
14 | msgid "Download notebook file"
15 | msgstr "הורד קובץ מחברת"
16 |
17 | msgid "Open an issue"
18 | msgstr "פתח גיליון"
19 |
20 | msgid "repository"
21 | msgstr "מאגר"
22 |
23 | msgid "Theme by the"
24 | msgstr "נושא מאת"
25 |
26 | msgid "Contents"
27 | msgstr "תוכן"
28 |
29 | msgid "next page"
30 | msgstr "עמוד הבא"
31 |
32 | msgid "Last updated on"
33 | msgstr "עודכן לאחרונה ב"
34 |
35 | msgid "Launch"
36 | msgstr "לְהַשִׁיק"
37 |
38 | msgid "Edit this page"
39 | msgstr "ערוך דף זה"
40 |
41 | msgid "Source repository"
42 | msgstr "מאגר המקורות"
43 |
44 | msgid "Download source file"
45 | msgstr "הורד את קובץ המקור"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "נושא ספר ספינקס"
49 |
50 | msgid "Copyright"
51 | msgstr "זכויות יוצרים"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "מצב מסך מלא"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "חפש במסמכים ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "מציע לערוך"
61 |
62 | msgid "Search this book..."
63 | msgstr "חפש בספר זה ..."
64 |
65 | msgid "By"
66 | msgstr "על ידי"
67 |
68 | msgid "open issue"
69 | msgstr "בעיה פתוחה"
70 |
71 | msgid "Print to PDF"
72 | msgstr "הדפס לקובץ PDF"
73 |
74 | msgid "previous page"
75 | msgstr "עמוד קודם"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "החלף ניווט"
79 |
80 | msgid "By the"
81 | msgstr "דרך"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/ja/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ja\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "このページをダウンロード"
13 |
14 | msgid "Download notebook file"
15 | msgstr "ノートブックファイルをダウンロード"
16 |
17 | msgid "Open an issue"
18 | msgstr "問題を報告"
19 |
20 | msgid "repository"
21 | msgstr "リポジトリ"
22 |
23 | msgid "Theme by the"
24 | msgstr "のテーマ"
25 |
26 | msgid "Contents"
27 | msgstr "目次"
28 |
29 | msgid "next page"
30 | msgstr "次のページ"
31 |
32 | msgid "Last updated on"
33 | msgstr "最終更新日"
34 |
35 | msgid "Launch"
36 | msgstr "起動"
37 |
38 | msgid "Edit this page"
39 | msgstr "このページを編集"
40 |
41 | msgid "Source repository"
42 | msgstr "ソースリポジトリ"
43 |
44 | msgid "Download source file"
45 | msgstr "ソースファイルをダウンロード"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "スフィンクスの本のテーマ"
49 |
50 | msgid "Copyright"
51 | msgstr "Copyright"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "全画面モード"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "ドキュメントを検索..."
58 |
59 | msgid "suggest edit"
60 | msgstr "編集を提案する"
61 |
62 | msgid "Search this book..."
63 | msgstr "この本を検索..."
64 |
65 | msgid "By"
66 | msgstr "著者"
67 |
68 | msgid "open issue"
69 | msgstr "未解決の問題"
70 |
71 | msgid "Print to PDF"
72 | msgstr "PDFに印刷"
73 |
74 | msgid "previous page"
75 | msgstr "前のページ"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "ナビゲーションを切り替え"
79 |
80 | msgid "By the"
81 | msgstr "によって"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/ko/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ko\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "이 페이지 다운로드"
13 |
14 | msgid "Download notebook file"
15 | msgstr "노트북 파일 다운로드"
16 |
17 | msgid "Open an issue"
18 | msgstr "이슈 열기"
19 |
20 | msgid "repository"
21 | msgstr "저장소"
22 |
23 | msgid "Theme by the"
24 | msgstr "테마별"
25 |
26 | msgid "Contents"
27 | msgstr "내용"
28 |
29 | msgid "next page"
30 | msgstr "다음 페이지"
31 |
32 | msgid "Last updated on"
33 | msgstr "마지막 업데이트"
34 |
35 | msgid "Launch"
36 | msgstr "시작하다"
37 |
38 | msgid "Edit this page"
39 | msgstr "이 페이지 편집"
40 |
41 | msgid "Source repository"
42 | msgstr "소스 저장소"
43 |
44 | msgid "Download source file"
45 | msgstr "소스 파일 다운로드"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "스핑크스 도서 테마"
49 |
50 | msgid "Copyright"
51 | msgstr "저작권"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "전체 화면으로보기"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "문서 검색 ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "편집 제안"
61 |
62 | msgid "Search this book..."
63 | msgstr "이 책 검색 ..."
64 |
65 | msgid "By"
66 | msgstr "으로"
67 |
68 | msgid "open issue"
69 | msgstr "열린 문제"
70 |
71 | msgid "Print to PDF"
72 | msgstr "PDF로 인쇄"
73 |
74 | msgid "previous page"
75 | msgstr "이전 페이지"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "탐색 전환"
79 |
80 | msgid "By the"
81 | msgstr "에 의해"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/lv/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: lv\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Lejupielādējiet šo lapu"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Lejupielādēt piezīmju grāmatiņu"
16 |
17 | msgid "Open an issue"
18 | msgstr "Atveriet problēmu"
19 |
20 | msgid "repository"
21 | msgstr "krātuve"
22 |
23 | msgid "Theme by the"
24 | msgstr "Autora tēma"
25 |
26 | msgid "Contents"
27 | msgstr "Saturs"
28 |
29 | msgid "next page"
30 | msgstr "nākamā lapaspuse"
31 |
32 | msgid "Last updated on"
33 | msgstr "Pēdējoreiz atjaunināts"
34 |
35 | msgid "Launch"
36 | msgstr "Uzsākt"
37 |
38 | msgid "Edit this page"
39 | msgstr "Rediģēt šo lapu"
40 |
41 | msgid "Source repository"
42 | msgstr "Avota krātuve"
43 |
44 | msgid "Download source file"
45 | msgstr "Lejupielādēt avota failu"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sfinksa grāmatas tēma"
49 |
50 | msgid "Copyright"
51 | msgstr "Autortiesības"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Pilnekrāna režīms"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Meklēt dokumentos ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "ieteikt rediģēt"
61 |
62 | msgid "Search this book..."
63 | msgstr "Meklēt šajā grāmatā ..."
64 |
65 | msgid "By"
66 | msgstr "Autors"
67 |
68 | msgid "open issue"
69 | msgstr "atklāts jautājums"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Drukāt PDF formātā"
73 |
74 | msgid "previous page"
75 | msgstr "iepriekšējā lapa"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Pārslēgt navigāciju"
79 |
80 | msgid "By the"
81 | msgstr "Ar"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/ml/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ml\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
13 |
14 | msgid "Download notebook file"
15 | msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക"
16 |
17 | msgid "Open an issue"
18 | msgstr "ഒരു പ്രശ്നം തുറക്കുക"
19 |
20 | msgid "Theme by the"
21 | msgstr "പ്രമേയം"
22 |
23 | msgid "next page"
24 | msgstr "അടുത്ത പേജ്"
25 |
26 | msgid "Last updated on"
27 | msgstr "അവസാനം അപ്ഡേറ്റുചെയ്തത്"
28 |
29 | msgid "Launch"
30 | msgstr "സമാരംഭിക്കുക"
31 |
32 | msgid "Edit this page"
33 | msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
34 |
35 | msgid "Source repository"
36 | msgstr "ഉറവിട ശേഖരം"
37 |
38 | msgid "Download source file"
39 | msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം"
43 |
44 | msgid "Copyright"
45 | msgstr "പകർപ്പവകാശം"
46 |
47 | msgid "suggest edit"
48 | msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
49 |
50 | msgid "Search this book..."
51 | msgstr "ഈ പുസ്തകം തിരയുക ..."
52 |
53 | msgid "By"
54 | msgstr "എഴുതിയത്"
55 |
56 | msgid "open issue"
57 | msgstr "തുറന്ന പ്രശ്നം"
58 |
59 | msgid "Print to PDF"
60 | msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
61 |
62 | msgid "previous page"
63 | msgstr "മുൻപത്തെ താൾ"
64 |
65 | msgid "Toggle navigation"
66 | msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
67 |
68 | msgid "By the"
69 | msgstr "എഴുതിയത്"
70 |
--------------------------------------------------------------------------------
/docs/_static/locales/mr/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: mr\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "हे पृष्ठ डाउनलोड करा"
13 |
14 | msgid "Download notebook file"
15 | msgstr "नोटबुक फाईल डाउनलोड करा"
16 |
17 | msgid "Open an issue"
18 | msgstr "एक मुद्दा उघडा"
19 |
20 | msgid "Theme by the"
21 | msgstr "द्वारा थीम"
22 |
23 | msgid "next page"
24 | msgstr "पुढील पृष्ठ"
25 |
26 | msgid "Last updated on"
27 | msgstr "अखेरचे अद्यतनित"
28 |
29 | msgid "Launch"
30 | msgstr "लाँच करा"
31 |
32 | msgid "Edit this page"
33 | msgstr "हे पृष्ठ संपादित करा"
34 |
35 | msgid "Source repository"
36 | msgstr "स्त्रोत भांडार"
37 |
38 | msgid "Download source file"
39 | msgstr "स्त्रोत फाइल डाउनलोड करा"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "स्फिंक्स बुक थीम"
43 |
44 | msgid "Copyright"
45 | msgstr "कॉपीराइट"
46 |
47 | msgid "suggest edit"
48 | msgstr "संपादन सुचवा"
49 |
50 | msgid "Search this book..."
51 | msgstr "हे पुस्तक शोधा ..."
52 |
53 | msgid "By"
54 | msgstr "द्वारा"
55 |
56 | msgid "open issue"
57 | msgstr "खुला मुद्दा"
58 |
59 | msgid "Print to PDF"
60 | msgstr "पीडीएफवर मुद्रित करा"
61 |
62 | msgid "previous page"
63 | msgstr "मागील पान"
64 |
65 | msgid "Toggle navigation"
66 | msgstr "नेव्हिगेशन टॉगल करा"
67 |
68 | msgid "By the"
69 | msgstr "द्वारा"
70 |
--------------------------------------------------------------------------------
/docs/_static/locales/ms/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ms\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Muat turun halaman ini"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Muat turun fail buku nota"
16 |
17 | msgid "Open an issue"
18 | msgstr "Buka masalah"
19 |
20 | msgid "Theme by the"
21 | msgstr "Tema oleh"
22 |
23 | msgid "next page"
24 | msgstr "muka surat seterusnya"
25 |
26 | msgid "Last updated on"
27 | msgstr "Terakhir dikemas kini pada"
28 |
29 | msgid "Launch"
30 | msgstr "Lancarkan"
31 |
32 | msgid "Edit this page"
33 | msgstr "Edit halaman ini"
34 |
35 | msgid "Source repository"
36 | msgstr "Repositori sumber"
37 |
38 | msgid "Download source file"
39 | msgstr "Muat turun fail sumber"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "Tema Buku Sphinx"
43 |
44 | msgid "Copyright"
45 | msgstr "hak cipta"
46 |
47 | msgid "suggest edit"
48 | msgstr "cadangkan edit"
49 |
50 | msgid "Search this book..."
51 | msgstr "Cari buku ini ..."
52 |
53 | msgid "By"
54 | msgstr "Oleh"
55 |
56 | msgid "open issue"
57 | msgstr "isu terbuka"
58 |
59 | msgid "Print to PDF"
60 | msgstr "Cetak ke PDF"
61 |
62 | msgid "previous page"
63 | msgstr "halaman sebelumnya"
64 |
65 | msgid "Toggle navigation"
66 | msgstr "Togol navigasi"
67 |
68 | msgid "By the"
69 | msgstr "Oleh"
70 |
--------------------------------------------------------------------------------
/docs/_static/locales/nl/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: nl\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Download deze pagina"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Download notebookbestand"
16 |
17 | msgid "Open an issue"
18 | msgstr "Open een probleem"
19 |
20 | msgid "repository"
21 | msgstr "repository"
22 |
23 | msgid "Theme by the"
24 | msgstr "Thema door de"
25 |
26 | msgid "Contents"
27 | msgstr "Inhoud"
28 |
29 | msgid "next page"
30 | msgstr "volgende bladzijde"
31 |
32 | msgid "Last updated on"
33 | msgstr "Laatst geupdate op"
34 |
35 | msgid "Launch"
36 | msgstr "Lancering"
37 |
38 | msgid "Edit this page"
39 | msgstr "bewerk deze pagina"
40 |
41 | msgid "Source repository"
42 | msgstr "Bronopslagplaats"
43 |
44 | msgid "Download source file"
45 | msgstr "Download het bronbestand"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sphinx-boekthema"
49 |
50 | msgid "Copyright"
51 | msgstr "auteursrechten"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Volledig scherm"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Doorzoek de documenten ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "suggereren bewerken"
61 |
62 | msgid "Search this book..."
63 | msgstr "Zoek in dit boek ..."
64 |
65 | msgid "By"
66 | msgstr "Door"
67 |
68 | msgid "open issue"
69 | msgstr "open probleem"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Afdrukken naar pdf"
73 |
74 | msgid "previous page"
75 | msgstr "vorige pagina"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Schakel navigatie"
79 |
80 | msgid "By the"
81 | msgstr "Door de"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/no/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: no\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Last ned denne siden"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Last ned notatbokfilen"
16 |
17 | msgid "Open an issue"
18 | msgstr "Åpne et problem"
19 |
20 | msgid "repository"
21 | msgstr "oppbevaringssted"
22 |
23 | msgid "Theme by the"
24 | msgstr "Tema av"
25 |
26 | msgid "Contents"
27 | msgstr "Innhold"
28 |
29 | msgid "next page"
30 | msgstr "neste side"
31 |
32 | msgid "Last updated on"
33 | msgstr "Sist oppdatert den"
34 |
35 | msgid "Launch"
36 | msgstr "Start"
37 |
38 | msgid "Edit this page"
39 | msgstr "Rediger denne siden"
40 |
41 | msgid "Source repository"
42 | msgstr "Kildedepot"
43 |
44 | msgid "Download source file"
45 | msgstr "Last ned kildefilen"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sphinx boktema"
49 |
50 | msgid "Copyright"
51 | msgstr "opphavsrett"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Fullskjerm-modus"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Søk i dokumentene ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "foreslå redigering"
61 |
62 | msgid "Search this book..."
63 | msgstr "Søk i denne boken ..."
64 |
65 | msgid "By"
66 | msgstr "Av"
67 |
68 | msgid "open issue"
69 | msgstr "åpent nummer"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Skriv ut til PDF"
73 |
74 | msgid "previous page"
75 | msgstr "forrige side"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Bytt navigasjon"
79 |
80 | msgid "By the"
81 | msgstr "Ved"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/pl/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: pl\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Pobierz tę stronę"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Pobierz plik notatnika"
16 |
17 | msgid "Open an issue"
18 | msgstr "Otwórz problem"
19 |
20 | msgid "repository"
21 | msgstr "magazyn"
22 |
23 | msgid "Theme by the"
24 | msgstr "Motyw autorstwa"
25 |
26 | msgid "Contents"
27 | msgstr "Zawartość"
28 |
29 | msgid "next page"
30 | msgstr "Następna strona"
31 |
32 | msgid "Last updated on"
33 | msgstr "Ostatnia aktualizacja"
34 |
35 | msgid "Launch"
36 | msgstr "Uruchomić"
37 |
38 | msgid "Edit this page"
39 | msgstr "Edytuj tę strone"
40 |
41 | msgid "Source repository"
42 | msgstr "Repozytorium źródłowe"
43 |
44 | msgid "Download source file"
45 | msgstr "Pobierz plik źródłowy"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Motyw książki Sphinx"
49 |
50 | msgid "Copyright"
51 | msgstr "prawa autorskie"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Pełny ekran"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Przeszukaj dokumenty ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "zaproponuj edycję"
61 |
62 | msgid "Search this book..."
63 | msgstr "Przeszukaj tę książkę ..."
64 |
65 | msgid "By"
66 | msgstr "Przez"
67 |
68 | msgid "open issue"
69 | msgstr "otwarty problem"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Drukuj do PDF"
73 |
74 | msgid "previous page"
75 | msgstr "Poprzednia strona"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Przełącz nawigację"
79 |
80 | msgid "By the"
81 | msgstr "Przez"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/pt/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: pt\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Baixe esta página"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Baixar arquivo de notebook"
16 |
17 | msgid "Open an issue"
18 | msgstr "Abra um problema"
19 |
20 | msgid "repository"
21 | msgstr "repositório"
22 |
23 | msgid "Theme by the"
24 | msgstr "Tema por"
25 |
26 | msgid "Contents"
27 | msgstr "Conteúdo"
28 |
29 | msgid "next page"
30 | msgstr "próxima página"
31 |
32 | msgid "Last updated on"
33 | msgstr "Última atualização em"
34 |
35 | msgid "Launch"
36 | msgstr "Lançamento"
37 |
38 | msgid "Edit this page"
39 | msgstr "Edite essa página"
40 |
41 | msgid "Source repository"
42 | msgstr "Repositório fonte"
43 |
44 | msgid "Download source file"
45 | msgstr "Baixar arquivo fonte"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Tema do livro Sphinx"
49 |
50 | msgid "Copyright"
51 | msgstr "direito autoral"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Modo tela cheia"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Pesquise os documentos ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "sugerir edição"
61 |
62 | msgid "Search this book..."
63 | msgstr "Pesquise este livro ..."
64 |
65 | msgid "By"
66 | msgstr "De"
67 |
68 | msgid "open issue"
69 | msgstr "questão aberta"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Imprimir em PDF"
73 |
74 | msgid "previous page"
75 | msgstr "página anterior"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Alternar de navegação"
79 |
80 | msgid "By the"
81 | msgstr "Pelo"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/ro/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ro\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Descarcă această pagină"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Descărcați fișierul notebook"
16 |
17 | msgid "Open an issue"
18 | msgstr "Deschideți o problemă"
19 |
20 | msgid "repository"
21 | msgstr "repertoriu"
22 |
23 | msgid "Theme by the"
24 | msgstr "Tema de"
25 |
26 | msgid "Contents"
27 | msgstr "Cuprins"
28 |
29 | msgid "next page"
30 | msgstr "pagina următoare"
31 |
32 | msgid "Last updated on"
33 | msgstr "Ultima actualizare la"
34 |
35 | msgid "Launch"
36 | msgstr "Lansa"
37 |
38 | msgid "Edit this page"
39 | msgstr "Editați această pagină"
40 |
41 | msgid "Source repository"
42 | msgstr "Depozit sursă"
43 |
44 | msgid "Download source file"
45 | msgstr "Descărcați fișierul sursă"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Tema Sphinx Book"
49 |
50 | msgid "Copyright"
51 | msgstr "Drepturi de autor"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Modul ecran întreg"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Căutați documente ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "sugerează editare"
61 |
62 | msgid "Search this book..."
63 | msgstr "Căutați în această carte ..."
64 |
65 | msgid "By"
66 | msgstr "De"
67 |
68 | msgid "open issue"
69 | msgstr "problema deschisă"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Imprimați în PDF"
73 |
74 | msgid "previous page"
75 | msgstr "pagina anterioară"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Comutare navigare"
79 |
80 | msgid "By the"
81 | msgstr "Langa"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/sk/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: sk\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Stiahnite si túto stránku"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Stiahnite si zošit"
16 |
17 | msgid "Open an issue"
18 | msgstr "Otvorte problém"
19 |
20 | msgid "repository"
21 | msgstr "Úložisko"
22 |
23 | msgid "Theme by the"
24 | msgstr "Téma od"
25 |
26 | msgid "Contents"
27 | msgstr "Obsah"
28 |
29 | msgid "next page"
30 | msgstr "ďalšia strana"
31 |
32 | msgid "Last updated on"
33 | msgstr "Posledná aktualizácia dňa"
34 |
35 | msgid "Launch"
36 | msgstr "Spustiť"
37 |
38 | msgid "Edit this page"
39 | msgstr "Upraviť túto stránku"
40 |
41 | msgid "Source repository"
42 | msgstr "Zdrojové úložisko"
43 |
44 | msgid "Download source file"
45 | msgstr "Stiahnite si zdrojový súbor"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Téma knihy Sfinga"
49 |
50 | msgid "Copyright"
51 | msgstr "Autorské práva"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Režim celej obrazovky"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Hľadať v dokumentoch ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "navrhnúť úpravu"
61 |
62 | msgid "Search this book..."
63 | msgstr "Hľadať v tejto knihe ..."
64 |
65 | msgid "By"
66 | msgstr "Autor:"
67 |
68 | msgid "open issue"
69 | msgstr "otvorené vydanie"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Tlač do PDF"
73 |
74 | msgid "previous page"
75 | msgstr "predchádzajúca strana"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Prepnúť navigáciu"
79 |
80 | msgid "By the"
81 | msgstr "Podľa"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/sl/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: sl\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Prenesite to stran"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Prenesite datoteko zvezka"
16 |
17 | msgid "Open an issue"
18 | msgstr "Odprite številko"
19 |
20 | msgid "repository"
21 | msgstr "odlagališče"
22 |
23 | msgid "Theme by the"
24 | msgstr "Tema avtorja"
25 |
26 | msgid "Contents"
27 | msgstr "Vsebina"
28 |
29 | msgid "next page"
30 | msgstr "Naslednja stran"
31 |
32 | msgid "Last updated on"
33 | msgstr "Nazadnje posodobljeno dne"
34 |
35 | msgid "Launch"
36 | msgstr "Kosilo"
37 |
38 | msgid "Edit this page"
39 | msgstr "Uredite to stran"
40 |
41 | msgid "Source repository"
42 | msgstr "Izvorno skladišče"
43 |
44 | msgid "Download source file"
45 | msgstr "Prenesite izvorno datoteko"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Tema knjige Sphinx"
49 |
50 | msgid "Copyright"
51 | msgstr "avtorske pravice"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Celozaslonski način"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Poiščite dokumente ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "predlagajte urejanje"
61 |
62 | msgid "Search this book..."
63 | msgstr "Poiščite to knjigo ..."
64 |
65 | msgid "By"
66 | msgstr "Avtor"
67 |
68 | msgid "open issue"
69 | msgstr "odprto vprašanje"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Natisni v PDF"
73 |
74 | msgid "previous page"
75 | msgstr "Prejšnja stran"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Preklopi navigacijo"
79 |
80 | msgid "By the"
81 | msgstr "Avtor"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/sr/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: sr\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Преузмите ову страницу"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Преузмите датотеку бележнице"
16 |
17 | msgid "Open an issue"
18 | msgstr "Отворите издање"
19 |
20 | msgid "repository"
21 | msgstr "спремиште"
22 |
23 | msgid "Theme by the"
24 | msgstr "Тхеме би"
25 |
26 | msgid "Contents"
27 | msgstr "Садржај"
28 |
29 | msgid "next page"
30 | msgstr "Следећа страна"
31 |
32 | msgid "Last updated on"
33 | msgstr "Последње ажурирање"
34 |
35 | msgid "Launch"
36 | msgstr "Лансирање"
37 |
38 | msgid "Edit this page"
39 | msgstr "Уредите ову страницу"
40 |
41 | msgid "Source repository"
42 | msgstr "Изворно спремиште"
43 |
44 | msgid "Download source file"
45 | msgstr "Преузми изворну датотеку"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Тема књиге Спхинк"
49 |
50 | msgid "Copyright"
51 | msgstr "Ауторско право"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Режим целог екрана"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Претражите документе ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "предложи уређивање"
61 |
62 | msgid "Search this book..."
63 | msgstr "Претражите ову књигу ..."
64 |
65 | msgid "By"
66 | msgstr "Од стране"
67 |
68 | msgid "open issue"
69 | msgstr "отворено издање"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Испис у ПДФ"
73 |
74 | msgid "previous page"
75 | msgstr "Претходна страница"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Укључи / искључи навигацију"
79 |
80 | msgid "By the"
81 | msgstr "Од"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/sv/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: sv\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Ladda ner den här sidan"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Ladda ner anteckningsbokfilen"
16 |
17 | msgid "Open an issue"
18 | msgstr "Öppna ett problem"
19 |
20 | msgid "repository"
21 | msgstr "förvar"
22 |
23 | msgid "Theme by the"
24 | msgstr "Tema av"
25 |
26 | msgid "Contents"
27 | msgstr "Innehåll"
28 |
29 | msgid "next page"
30 | msgstr "nästa sida"
31 |
32 | msgid "Last updated on"
33 | msgstr "Senast uppdaterad den"
34 |
35 | msgid "Launch"
36 | msgstr "Lansera"
37 |
38 | msgid "Edit this page"
39 | msgstr "Redigera den här sidan"
40 |
41 | msgid "Source repository"
42 | msgstr "Källförvar"
43 |
44 | msgid "Download source file"
45 | msgstr "Ladda ner källfil"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sphinx boktema"
49 |
50 | msgid "Copyright"
51 | msgstr "upphovsrätt"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Fullskärmsläge"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Sök i dokumenten ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "föreslå redigering"
61 |
62 | msgid "Search this book..."
63 | msgstr "Sök i den här boken ..."
64 |
65 | msgid "By"
66 | msgstr "Förbi"
67 |
68 | msgid "open issue"
69 | msgstr "öppet problem"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Skriv ut till PDF"
73 |
74 | msgid "previous page"
75 | msgstr "föregående sida"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Växla navigering"
79 |
80 | msgid "By the"
81 | msgstr "Vid"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/ta/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ta\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
13 |
14 | msgid "Download notebook file"
15 | msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்"
16 |
17 | msgid "Open an issue"
18 | msgstr "சிக்கலைத் திறக்கவும்"
19 |
20 | msgid "Theme by the"
21 | msgstr "வழங்கிய தீம்"
22 |
23 | msgid "next page"
24 | msgstr "அடுத்த பக்கம்"
25 |
26 | msgid "Last updated on"
27 | msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
28 |
29 | msgid "Launch"
30 | msgstr "தொடங்க"
31 |
32 | msgid "Edit this page"
33 | msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
34 |
35 | msgid "Source repository"
36 | msgstr "மூல களஞ்சியம்"
37 |
38 | msgid "Download source file"
39 | msgstr "மூல கோப்பைப் பதிவிறக்குக"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்"
43 |
44 | msgid "Copyright"
45 | msgstr "பதிப்புரிமை"
46 |
47 | msgid "suggest edit"
48 | msgstr "திருத்த பரிந்துரைக்கவும்"
49 |
50 | msgid "Search this book..."
51 | msgstr "இந்த புத்தகத்தைத் தேடுங்கள் ..."
52 |
53 | msgid "By"
54 | msgstr "வழங்கியவர்"
55 |
56 | msgid "open issue"
57 | msgstr "திறந்த பிரச்சினை"
58 |
59 | msgid "Print to PDF"
60 | msgstr "PDF இல் அச்சிடுக"
61 |
62 | msgid "previous page"
63 | msgstr "முந்தைய பக்கம்"
64 |
65 | msgid "Toggle navigation"
66 | msgstr "வழிசெலுத்தலை நிலைமாற்று"
67 |
68 | msgid "By the"
69 | msgstr "மூலம்"
70 |
--------------------------------------------------------------------------------
/docs/_static/locales/te/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: te\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "ఈ పేజీని డౌన్లోడ్ చేయండి"
13 |
14 | msgid "Download notebook file"
15 | msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి"
16 |
17 | msgid "Open an issue"
18 | msgstr "సమస్యను తెరవండి"
19 |
20 | msgid "Theme by the"
21 | msgstr "ద్వారా థీమ్"
22 |
23 | msgid "next page"
24 | msgstr "తరువాతి పేజీ"
25 |
26 | msgid "Last updated on"
27 | msgstr "చివరిగా నవీకరించబడింది"
28 |
29 | msgid "Launch"
30 | msgstr "ప్రారంభించండి"
31 |
32 | msgid "Edit this page"
33 | msgstr "ఈ పేజీని సవరించండి"
34 |
35 | msgid "Source repository"
36 | msgstr "మూల రిపోజిటరీ"
37 |
38 | msgid "Download source file"
39 | msgstr "మూల ఫైల్ను డౌన్లోడ్ చేయండి"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "సింహిక పుస్తక థీమ్"
43 |
44 | msgid "Copyright"
45 | msgstr "కాపీరైట్"
46 |
47 | msgid "suggest edit"
48 | msgstr "సవరించమని సూచించండి"
49 |
50 | msgid "Search this book..."
51 | msgstr "ఈ పుస్తకాన్ని శోధించండి ..."
52 |
53 | msgid "By"
54 | msgstr "ద్వారా"
55 |
56 | msgid "open issue"
57 | msgstr "ఓపెన్ ఇష్యూ"
58 |
59 | msgid "Print to PDF"
60 | msgstr "PDF కి ముద్రించండి"
61 |
62 | msgid "previous page"
63 | msgstr "ముందు పేజి"
64 |
65 | msgid "Toggle navigation"
66 | msgstr "నావిగేషన్ను టోగుల్ చేయండి"
67 |
68 | msgid "By the"
69 | msgstr "ద్వారా"
70 |
--------------------------------------------------------------------------------
/docs/_static/locales/tg/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: tg\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Ин саҳифаро зеркашӣ кунед"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Файли дафтарро зеркашӣ кунед"
16 |
17 | msgid "Open an issue"
18 | msgstr "Масъаларо кушоед"
19 |
20 | msgid "repository"
21 | msgstr "анбор"
22 |
23 | msgid "Theme by the"
24 | msgstr "Мавзӯъи аз"
25 |
26 | msgid "Contents"
27 | msgstr "Мундариҷа"
28 |
29 | msgid "next page"
30 | msgstr "саҳифаи оянда"
31 |
32 | msgid "Last updated on"
33 | msgstr "Last навсозӣ дар"
34 |
35 | msgid "Launch"
36 | msgstr "Оғоз"
37 |
38 | msgid "Edit this page"
39 | msgstr "Ин саҳифаро таҳрир кунед"
40 |
41 | msgid "Source repository"
42 | msgstr "Анбори манбаъ"
43 |
44 | msgid "Download source file"
45 | msgstr "Файли манбаъро зеркашӣ кунед"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Сфинкс Мавзӯи китоб"
49 |
50 | msgid "Copyright"
51 | msgstr "Ҳуқуқи муаллиф"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Ҳолати экрани пурра"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Ҷустуҷӯи ҳуҷҷатҳо ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "пешниҳод вироиш"
61 |
62 | msgid "Search this book..."
63 | msgstr "Ин китобро ҷустуҷӯ кунед ..."
64 |
65 | msgid "By"
66 | msgstr "Бо"
67 |
68 | msgid "open issue"
69 | msgstr "барориши кушод"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Чоп ба PDF"
73 |
74 | msgid "previous page"
75 | msgstr "саҳифаи қаблӣ"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Гузаришро иваз кунед"
79 |
80 | msgid "By the"
81 | msgstr "Бо"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/th/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: th\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "ดาวน์โหลดหน้านี้"
13 |
14 | msgid "Download notebook file"
15 | msgstr "ดาวน์โหลดไฟล์สมุดบันทึก"
16 |
17 | msgid "Open an issue"
18 | msgstr "เปิดปัญหา"
19 |
20 | msgid "repository"
21 | msgstr "ที่เก็บ"
22 |
23 | msgid "Theme by the"
24 | msgstr "ธีมโดย"
25 |
26 | msgid "Contents"
27 | msgstr "สารบัญ"
28 |
29 | msgid "next page"
30 | msgstr "หน้าต่อไป"
31 |
32 | msgid "Last updated on"
33 | msgstr "ปรับปรุงล่าสุดเมื่อ"
34 |
35 | msgid "Launch"
36 | msgstr "เปิด"
37 |
38 | msgid "Edit this page"
39 | msgstr "แก้ไขหน้านี้"
40 |
41 | msgid "Source repository"
42 | msgstr "ที่เก็บซอร์ส"
43 |
44 | msgid "Download source file"
45 | msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "ธีมหนังสือสฟิงซ์"
49 |
50 | msgid "Copyright"
51 | msgstr "ลิขสิทธิ์"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "โหมดเต็มหน้าจอ"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "ค้นหาเอกสาร ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "แนะนำแก้ไข"
61 |
62 | msgid "Search this book..."
63 | msgstr "ค้นหาหนังสือเล่มนี้ ..."
64 |
65 | msgid "By"
66 | msgstr "โดย"
67 |
68 | msgid "open issue"
69 | msgstr "เปิดปัญหา"
70 |
71 | msgid "Print to PDF"
72 | msgstr "พิมพ์เป็น PDF"
73 |
74 | msgid "previous page"
75 | msgstr "หน้าที่แล้ว"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "ไม่ต้องสลับช่องทาง"
79 |
80 | msgid "By the"
81 | msgstr "โดย"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/tl/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: tl\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "I-download ang pahinang ito"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Mag-download ng file ng notebook"
16 |
17 | msgid "Open an issue"
18 | msgstr "Magbukas ng isyu"
19 |
20 | msgid "Theme by the"
21 | msgstr "Tema ng"
22 |
23 | msgid "next page"
24 | msgstr "Susunod na pahina"
25 |
26 | msgid "Last updated on"
27 | msgstr "Huling na-update noong"
28 |
29 | msgid "Launch"
30 | msgstr "Ilunsad"
31 |
32 | msgid "Edit this page"
33 | msgstr "I-edit ang pahinang ito"
34 |
35 | msgid "Source repository"
36 | msgstr "Pinagmulan ng imbakan"
37 |
38 | msgid "Download source file"
39 | msgstr "Mag-download ng file ng pinagmulan"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "Tema ng Sphinx Book"
43 |
44 | msgid "Copyright"
45 | msgstr "Copyright"
46 |
47 | msgid "suggest edit"
48 | msgstr "iminumungkahi i-edit"
49 |
50 | msgid "Search this book..."
51 | msgstr "Maghanap sa librong ito ..."
52 |
53 | msgid "By"
54 | msgstr "Ni"
55 |
56 | msgid "open issue"
57 | msgstr "bukas na isyu"
58 |
59 | msgid "Print to PDF"
60 | msgstr "I-print sa PDF"
61 |
62 | msgid "previous page"
63 | msgstr "Nakaraang pahina"
64 |
65 | msgid "Toggle navigation"
66 | msgstr "I-toggle ang pag-navigate"
67 |
68 | msgid "By the"
69 | msgstr "Sa pamamagitan ng"
70 |
--------------------------------------------------------------------------------
/docs/_static/locales/tr/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: tr\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Bu sayfayı indirin"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Defter dosyasını indirin"
16 |
17 | msgid "Open an issue"
18 | msgstr "Bir sorunu açın"
19 |
20 | msgid "repository"
21 | msgstr "depo"
22 |
23 | msgid "Theme by the"
24 | msgstr "Tarafından tema"
25 |
26 | msgid "Contents"
27 | msgstr "İçindekiler"
28 |
29 | msgid "next page"
30 | msgstr "sonraki Sayfa"
31 |
32 | msgid "Last updated on"
33 | msgstr "Son güncelleme tarihi"
34 |
35 | msgid "Launch"
36 | msgstr "Başlatmak"
37 |
38 | msgid "Edit this page"
39 | msgstr "Bu sayfayı düzenle"
40 |
41 | msgid "Source repository"
42 | msgstr "Kaynak kod deposu"
43 |
44 | msgid "Download source file"
45 | msgstr "Kaynak dosyayı indirin"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Sfenks Kitap Teması"
49 |
50 | msgid "Copyright"
51 | msgstr "Telif hakkı"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Tam ekran modu"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Belgelerde ara ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "düzenleme öner"
61 |
62 | msgid "Search this book..."
63 | msgstr "Bu kitabı ara ..."
64 |
65 | msgid "By"
66 | msgstr "Tarafından"
67 |
68 | msgid "open issue"
69 | msgstr "Açık konu"
70 |
71 | msgid "Print to PDF"
72 | msgstr "PDF olarak yazdır"
73 |
74 | msgid "previous page"
75 | msgstr "önceki sayfa"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Gezinmeyi değiştir"
79 |
80 | msgid "By the"
81 | msgstr "Tarafından"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/uk/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: uk\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Завантажте цю сторінку"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Завантажте файл блокнота"
16 |
17 | msgid "Open an issue"
18 | msgstr "Відкрийте випуск"
19 |
20 | msgid "repository"
21 | msgstr "сховище"
22 |
23 | msgid "Theme by the"
24 | msgstr "Тема від"
25 |
26 | msgid "Contents"
27 | msgstr "Зміст"
28 |
29 | msgid "next page"
30 | msgstr "Наступна сторінка"
31 |
32 | msgid "Last updated on"
33 | msgstr "Останнє оновлення:"
34 |
35 | msgid "Launch"
36 | msgstr "Запуск"
37 |
38 | msgid "Edit this page"
39 | msgstr "Редагувати цю сторінку"
40 |
41 | msgid "Source repository"
42 | msgstr "Джерело сховища"
43 |
44 | msgid "Download source file"
45 | msgstr "Завантажити вихідний файл"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Тема книги \"Сфінкс\""
49 |
50 | msgid "Copyright"
51 | msgstr "Авторське право"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Повноекранний режим"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Шукати в документах ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "запропонувати редагувати"
61 |
62 | msgid "Search this book..."
63 | msgstr "Шукати в цій книзі ..."
64 |
65 | msgid "By"
66 | msgstr "Автор"
67 |
68 | msgid "open issue"
69 | msgstr "відкритий випуск"
70 |
71 | msgid "Print to PDF"
72 | msgstr "Друк у форматі PDF"
73 |
74 | msgid "previous page"
75 | msgstr "Попередня сторінка"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Переключити навігацію"
79 |
80 | msgid "By the"
81 | msgstr "По"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/ur/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: ur\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
13 |
14 | msgid "Download notebook file"
15 | msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں"
16 |
17 | msgid "Open an issue"
18 | msgstr "ایک مسئلہ کھولیں"
19 |
20 | msgid "Theme by the"
21 | msgstr "کے ذریعہ تھیم"
22 |
23 | msgid "next page"
24 | msgstr "اگلا صفحہ"
25 |
26 | msgid "Last updated on"
27 | msgstr "آخری بار تازہ کاری ہوئی"
28 |
29 | msgid "Launch"
30 | msgstr "لانچ کریں"
31 |
32 | msgid "Edit this page"
33 | msgstr "اس صفحے میں ترمیم کریں"
34 |
35 | msgid "Source repository"
36 | msgstr "ماخذ ذخیرہ"
37 |
38 | msgid "Download source file"
39 | msgstr "سورس فائل ڈاؤن لوڈ کریں"
40 |
41 | msgid "Sphinx Book Theme"
42 | msgstr "سپنکس بک تھیم"
43 |
44 | msgid "Copyright"
45 | msgstr "کاپی رائٹ"
46 |
47 | msgid "suggest edit"
48 | msgstr "ترمیم کی تجویز کریں"
49 |
50 | msgid "Search this book..."
51 | msgstr "اس کتاب کو تلاش کریں…"
52 |
53 | msgid "By"
54 | msgstr "بذریعہ"
55 |
56 | msgid "open issue"
57 | msgstr "کھلا مسئلہ"
58 |
59 | msgid "Print to PDF"
60 | msgstr "پی ڈی ایف پرنٹ کریں"
61 |
62 | msgid "previous page"
63 | msgstr "سابقہ صفحہ"
64 |
65 | msgid "Toggle navigation"
66 | msgstr "نیویگیشن ٹوگل کریں"
67 |
68 | msgid "By the"
69 | msgstr "کی طرف"
70 |
--------------------------------------------------------------------------------
/docs/_static/locales/vi/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: vi\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "Tải xuống trang này"
13 |
14 | msgid "Download notebook file"
15 | msgstr "Tải xuống tệp sổ tay"
16 |
17 | msgid "Open an issue"
18 | msgstr "Mở một vấn đề"
19 |
20 | msgid "repository"
21 | msgstr "kho"
22 |
23 | msgid "Theme by the"
24 | msgstr "Chủ đề của"
25 |
26 | msgid "Contents"
27 | msgstr "Nội dung"
28 |
29 | msgid "next page"
30 | msgstr "Trang tiếp theo"
31 |
32 | msgid "Last updated on"
33 | msgstr "Cập nhật lần cuối vào"
34 |
35 | msgid "Launch"
36 | msgstr "Phóng"
37 |
38 | msgid "Edit this page"
39 | msgstr "chỉnh sửa trang này"
40 |
41 | msgid "Source repository"
42 | msgstr "Kho nguồn"
43 |
44 | msgid "Download source file"
45 | msgstr "Tải xuống tệp nguồn"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "Chủ đề sách nhân sư"
49 |
50 | msgid "Copyright"
51 | msgstr "Bản quyền"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "Chế độ toàn màn hình"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "Tìm kiếm tài liệu ..."
58 |
59 | msgid "suggest edit"
60 | msgstr "đề nghị chỉnh sửa"
61 |
62 | msgid "Search this book..."
63 | msgstr "Tìm kiếm cuốn sách này ..."
64 |
65 | msgid "By"
66 | msgstr "Bởi"
67 |
68 | msgid "open issue"
69 | msgstr "vấn đề mở"
70 |
71 | msgid "Print to PDF"
72 | msgstr "In sang PDF"
73 |
74 | msgid "previous page"
75 | msgstr "trang trước"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "Chuyển đổi điều hướng thành"
79 |
80 | msgid "By the"
81 | msgstr "Bằng"
82 |
--------------------------------------------------------------------------------
/docs/_static/locales/zh_CN/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: zh_CN\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "下载此页面"
13 |
14 | msgid "Download notebook file"
15 | msgstr "下载笔记本文件"
16 |
17 | msgid "Open an issue"
18 | msgstr "打开一个问题"
19 |
20 | msgid "repository"
21 | msgstr "资料库"
22 |
23 | msgid "Theme by the"
24 | msgstr "主题由"
25 |
26 | msgid "Contents"
27 | msgstr "内容"
28 |
29 | msgid "next page"
30 | msgstr "下一页"
31 |
32 | msgid "Last updated on"
33 | msgstr "上次更新时间:"
34 |
35 | msgid "Launch"
36 | msgstr "发射"
37 |
38 | msgid "Edit this page"
39 | msgstr "编辑这个页面"
40 |
41 | msgid "Source repository"
42 | msgstr "源库"
43 |
44 | msgid "Download source file"
45 | msgstr "下载源文件"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "狮身人面像书主题"
49 |
50 | msgid "Copyright"
51 | msgstr "版权"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "全屏模式"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "搜索文档..."
58 |
59 | msgid "Search this book..."
60 | msgstr "搜索这本书..."
61 |
62 | msgid "By"
63 | msgstr "通过"
64 |
65 | msgid "open issue"
66 | msgstr "公开的问题"
67 |
68 | msgid "Print to PDF"
69 | msgstr "列印成PDF"
70 |
71 | msgid "previous page"
72 | msgstr "上一页"
73 |
74 | msgid "Toggle navigation"
75 | msgstr "切换导航"
76 |
77 | msgid "By the"
78 | msgstr "由"
79 |
--------------------------------------------------------------------------------
/docs/_static/locales/zh_TW/LC_MESSAGES/booktheme.po:
--------------------------------------------------------------------------------
1 |
2 | msgid ""
3 | msgstr ""
4 | "Project-Id-Version: Sphinx-Book-Theme\n"
5 | "MIME-Version: 1.0\n"
6 | "Content-Type: text/plain; charset=UTF-8\n"
7 | "Content-Transfer-Encoding: 8bit\n"
8 | "Language: zh_TW\n"
9 | "Plural-Forms: nplurals=2; plural=(n != 1);\n"
10 |
11 | msgid "Download this page"
12 | msgstr "下載此頁面"
13 |
14 | msgid "Download notebook file"
15 | msgstr "下載筆記本文件"
16 |
17 | msgid "Open an issue"
18 | msgstr "打開一個問題"
19 |
20 | msgid "repository"
21 | msgstr "資料庫"
22 |
23 | msgid "Theme by the"
24 | msgstr "主題由"
25 |
26 | msgid "Contents"
27 | msgstr "內容"
28 |
29 | msgid "next page"
30 | msgstr "下一頁"
31 |
32 | msgid "Last updated on"
33 | msgstr "上次更新時間:"
34 |
35 | msgid "Launch"
36 | msgstr "發射"
37 |
38 | msgid "Edit this page"
39 | msgstr "編輯這個頁面"
40 |
41 | msgid "Source repository"
42 | msgstr "源庫"
43 |
44 | msgid "Download source file"
45 | msgstr "下載源文件"
46 |
47 | msgid "Sphinx Book Theme"
48 | msgstr "獅身人面像書主題"
49 |
50 | msgid "Copyright"
51 | msgstr "版權"
52 |
53 | msgid "Fullscreen mode"
54 | msgstr "全屏模式"
55 |
56 | msgid "Search the docs ..."
57 | msgstr "搜索文檔..."
58 |
59 | msgid "suggest edit"
60 | msgstr "建議編輯"
61 |
62 | msgid "Search this book..."
63 | msgstr "搜索這本書..."
64 |
65 | msgid "By"
66 | msgstr "通過"
67 |
68 | msgid "open issue"
69 | msgstr "公開的問題"
70 |
71 | msgid "Print to PDF"
72 | msgstr "列印成PDF"
73 |
74 | msgid "previous page"
75 | msgstr "上一頁"
76 |
77 | msgid "Toggle navigation"
78 | msgstr "切換導航"
79 |
80 | msgid "By the"
81 | msgstr "由"
82 |
--------------------------------------------------------------------------------
/docs/_static/minus.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/minus.png
--------------------------------------------------------------------------------
/docs/_static/plot_directive.css:
--------------------------------------------------------------------------------
1 | /*
2 | * plot_directive.css
3 | * ~~~~~~~~~~~~
4 | *
5 | * Stylesheet controlling images created using the `plot` directive within
6 | * Sphinx.
7 | *
8 | * :copyright: Copyright 2020-* by the Matplotlib development team.
9 | * :license: Matplotlib, see LICENSE for details.
10 | *
11 | */
12 |
13 | img.plot-directive {
14 | border: 0;
15 | max-width: 100%;
16 | }
17 |
--------------------------------------------------------------------------------
/docs/_static/plus.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/plus.png
--------------------------------------------------------------------------------
/docs/_static/sbt-webpack-macros.html:
--------------------------------------------------------------------------------
1 |
5 | {% macro head_pre_bootstrap() %}
6 |
7 | {% endmacro %}
8 |
9 | {% macro body_post() %}
10 |
11 | {% endmacro %}
12 |
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/LICENSE.txt:
--------------------------------------------------------------------------------
1 | Font Awesome Free License
2 | -------------------------
3 |
4 | Font Awesome Free is free, open source, and GPL friendly. You can use it for
5 | commercial projects, open source projects, or really almost whatever you want.
6 | Full Font Awesome Free license: https://fontawesome.com/license/free.
7 |
8 | # Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/)
9 | In the Font Awesome Free download, the CC BY 4.0 license applies to all icons
10 | packaged as SVG and JS file types.
11 |
12 | # Fonts: SIL OFL 1.1 License (https://scripts.sil.org/OFL)
13 | In the Font Awesome Free download, the SIL OFL license applies to all icons
14 | packaged as web and desktop font files.
15 |
16 | # Code: MIT License (https://opensource.org/licenses/MIT)
17 | In the Font Awesome Free download, the MIT license applies to all non-font and
18 | non-icon files.
19 |
20 | # Attribution
21 | Attribution is required by MIT, SIL OFL, and CC BY licenses. Downloaded Font
22 | Awesome Free files already contain embedded comments with sufficient
23 | attribution, so you shouldn't need to do anything additional when using these
24 | files normally.
25 |
26 | We've kept attribution comments terse, so we ask that you do not actively work
27 | to remove them from files, especially code. They're a great way for folks to
28 | learn about Font Awesome.
29 |
30 | # Brand Icons
31 | All brand icons are trademarks of their respective owners. The use of these
32 | trademarks does not indicate endorsement of the trademark holder by Font
33 | Awesome, nor vice versa. **Please do not use brand logos for any purpose except
34 | to represent the company, product, or service to which they refer.**
35 |
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.eot:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.eot
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.ttf:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.ttf
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.eot:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.eot
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.ttf:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.ttf
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.woff:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.woff
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.woff2:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-regular-400.woff2
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.eot:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.eot
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.ttf:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.ttf
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff
--------------------------------------------------------------------------------
/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2
--------------------------------------------------------------------------------
/docs/_static/webpack-macros.html:
--------------------------------------------------------------------------------
1 |
5 | {# Load FontAwesome icons #}
6 | {% macro head_pre_icons() %}
7 |
9 |
11 |
13 | {% endmacro %}
14 |
15 | {% macro head_pre_assets() %}
16 |
17 |
18 |
19 | {% endmacro %}
20 |
21 | {% macro head_js_preload() %}
22 |
23 |
24 | {% endmacro %}
25 |
26 | {% macro body_post() %}
27 |
28 |
29 | {% endmacro %}
--------------------------------------------------------------------------------
/docs/objects.inv:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/objects.inv
--------------------------------------------------------------------------------
/docs/第九章/figures/frameworks.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第九章/figures/frameworks.png
--------------------------------------------------------------------------------
/docs/第九章/figures/grapgflow.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第九章/figures/grapgflow.png
--------------------------------------------------------------------------------
/docs/第九章/figures/node.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第九章/figures/node.png
--------------------------------------------------------------------------------
/docs/第九章/figures/pipeline.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第九章/figures/pipeline.jpg
--------------------------------------------------------------------------------
/docs/第九章/figures/screenshot.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第九章/figures/screenshot.png
--------------------------------------------------------------------------------
/docs/第零章/figures/AI&ML&DL.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/AI&ML&DL.jpg
--------------------------------------------------------------------------------
/docs/第零章/figures/AI.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/AI.jpg
--------------------------------------------------------------------------------
/docs/第零章/figures/IOU.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/IOU.png
--------------------------------------------------------------------------------
/docs/第零章/figures/PR.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/PR.png
--------------------------------------------------------------------------------
/docs/第零章/figures/confusion_matrix.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/confusion_matrix.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220716235443528.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220716235443528.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220716235510697.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220716235510697.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220716235540827.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220716235540827.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220716235931573.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220716235931573.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220717000530228.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220717000530228.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220717001243904.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220717001243904.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220804170455298.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220804170455298.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220804171027983.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220804171027983.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805024106987.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805024106987.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805030345613.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805030345613.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805030406608.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805030406608.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805031209481.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805031209481.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805033034092.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805033034092.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805144702521.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805144702521.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805144722375.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805144722375.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805144803441.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805144803441.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805145218241.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805145218241.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805150721875.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805150721875.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805151600140.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805151600140.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805152331777.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805152331777.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220805152507891.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220805152507891.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220812162810305.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220812162810305.png
--------------------------------------------------------------------------------
/docs/第零章/figures/image-20220812171025719.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/image-20220812171025719.png
--------------------------------------------------------------------------------
/docs/第零章/figures/normalized_confusion_matrix.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/docs/第零章/figures/normalized_confusion_matrix.png
--------------------------------------------------------------------------------
/make.bat:
--------------------------------------------------------------------------------
1 | @ECHO OFF
2 |
3 | pushd %~dp0
4 |
5 | REM Command file for Sphinx documentation
6 |
7 | if "%SPHINXBUILD%" == "" (
8 | set SPHINXBUILD=sphinx-build
9 | )
10 | set SOURCEDIR=source
11 | set BUILDDIR=build
12 |
13 | %SPHINXBUILD% >NUL 2>NUL
14 | if errorlevel 9009 (
15 | echo.
16 | echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
17 | echo.installed, then set the SPHINXBUILD environment variable to point
18 | echo.to the full path of the 'sphinx-build' executable. Alternatively you
19 | echo.may add the Sphinx directory to PATH.
20 | echo.
21 | echo.If you don't have Sphinx installed, grab it from
22 | echo.https://www.sphinx-doc.org/
23 | exit /b 1
24 | )
25 |
26 | if "%1" == "" goto help
27 |
28 | %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
29 | goto end
30 |
31 | :help
32 | %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
33 |
34 | :end
35 | popd
36 |
--------------------------------------------------------------------------------
/notebook/README.md:
--------------------------------------------------------------------------------
1 | 该文件夹记录了演示使用的notebook,包括以下内容:
2 | - 第零章 前置知识补充
3 | - 第二章 PyTorch基础知识
4 | - 第四章 PyTorch基础实战
5 | - 图像分类
6 | - fashion-mnist分类实战
7 | - 果蔬分类实战
8 | - 第六章 PyTorch进阶训练技巧
9 | - 第八章 PyTorch生态简介
10 |
11 | 后续演示代码均会添加进来
12 |
--------------------------------------------------------------------------------
/notebook/第八章 PyTorch生态简介/figures/lenna.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第八章 PyTorch生态简介/figures/lenna.jpg
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/Lenna.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/Lenna.jpg
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/UI.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/UI.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/UI2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/UI2.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/UI3.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/UI3.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/demo1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/demo1.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/demo1ex.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/demo1ex.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/demo2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/demo2.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/demo3.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/demo3.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/demo4.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/demo4.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/demo5.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/demo5.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/demo6.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/demo6.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/demo7.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/demo7.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/photo.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/photo.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/plots.gif:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/plots.gif
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/start.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/start.png
--------------------------------------------------------------------------------
/notebook/第六章 PyTorch进阶训练技巧/img/visdom.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第六章 PyTorch进阶训练技巧/img/visdom.png
--------------------------------------------------------------------------------
/notebook/第四章 PyTorch基础实战/图像分类/FashionMNIST时装分类实战/fashion-mnist-sprite.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/notebook/第四章 PyTorch基础实战/图像分类/FashionMNIST时装分类实战/fashion-mnist-sprite.png
--------------------------------------------------------------------------------
/source/figures/qrcode.jpeg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/figures/qrcode.jpeg
--------------------------------------------------------------------------------
/source/第一章/1.1 PyTorch简介.md:
--------------------------------------------------------------------------------
1 | # 1.1 PyTorch简介
2 |
3 | PyTorch是由Meta AI(Facebook)人工智能研究小组开发的一种基于Lua编写的Torch库的Python实现的深度学习库,目前被广泛应用于学术界和工业界,相较于Tensorflow2.x,PyTorch在API的设计上更加简洁、优雅和易懂。因此本课程我们选择PyTorch来进行开源学习。
4 |
5 | 经过本节的学习,你将收获:
6 |
7 | - 了解PyTorch的发展流程
8 | - 了解PyTorch相较于其他框架的优势
9 |
10 |
11 | ## 1.1.1 PyTorch的发展
12 |
13 | **“All in PyTorch”**,对于PyTorch的发展我们只能用一句话来概况了,PyTorch自从推出就获得巨大的关注并受到了很多人的喜欢,而最直观的莫过于下面数据所表现的简明直了。
14 |
15 | 下图来自[Paper with code](https://paperswithcode.com/trends)网站,**颜色面积代表使用该框架的论文公开代码库的数量**,我们可以发现截至2021年6月,PyTorch的代码实现已经是TensorFlow实现的4倍,我们也可以看红色部分的PyTorch正在取代他的老大哥称霸学术圈,PyTorch会借助ONNX所带来的落地能力在工业界逐渐走向主导地位。
16 |
17 | 总的来说,我们必须承认到现在为止PyTorch 1.x还是有不如别的框架的地方,但是我们相信PyTorch 2.x版本会给我们带来更大的惊喜。
18 |
19 | 
20 |
21 | ## 1.1.2 PyTorch的优势
22 | + **更加简洁**,相比于其他的框架,PyTorch的框架更加简洁,易于理解。PyTorch的设计追求最少的封装,避免重复造轮子。
23 | + **上手快**,掌握numpy和基本的深度学习知识就可以上手。
24 | + PyTorch有着**良好的文档和社区支持**,作者亲自维护的论坛供用户交流和求教问题。Meta AI(Facebook AI)对PyTorch提供了强力支持,作为当今排名前三的深度学习研究机构,MAIR的支持足以确保PyTorch获得持续的开发更新。
25 | + **项目开源**,在Github上有越来越多的开源代码是使用PyTorch进行开发。
26 | + 可以**更好的调试代码**,PyTorch可以让我们逐行执行我们的脚本。这就像调试NumPy一样 – 我们可以轻松访问代码中的所有对象,并且可以使用打印语句(或其他标准的Python调试)来查看方法失败的位置。
27 | + 越来越完善的扩展库,活力旺盛,正处在**当打之年**。
28 |
29 |
--------------------------------------------------------------------------------
/source/第一章/1.3 PyTorch相关资源.md:
--------------------------------------------------------------------------------
1 | # 1.3 PyTorch相关资源
2 |
3 | PyTorch之所以被越来越多的人使用,不仅在于其完备的教程,还受益于许多相关的资源和完善的论坛。
4 |
5 | 经过本节的学习,你将收获:
6 |
7 | - PyTorch的优质学习资源
8 |
9 | ## 1.3.1 PyTorch学习资源
10 | 1. [Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list):目前已获12K Star,包含了NLP,CV,常见库,论文实现以及Pytorch的其他项目。
11 | 2. [PyTorch官方文档](https://pytorch.org/docs/stable/index.html):官方发布的文档,十分丰富。
12 | 3. [Pytorch-handbook](https://github.com/zergtant/pytorch-handbook):GitHub上已经收获14.8K,pytorch手中书。
13 | 4. [PyTorch官方社区](https://discuss.pytorch.org/):PyTorch拥有一个活跃的社区,在这里你可以和开发pytorch的人们进行交流。
14 | 5. [PyTorch官方tutorials](https://pytorch.org/tutorials/):官方编写的tutorials,可以结合colab边动手边学习
15 | 6. [动手学深度学习](https://zh.d2l.ai/):动手学深度学习是由李沐老师主讲的一门深度学习入门课,拥有成熟的书籍资源和课程资源,在B站,Youtube均有回放。
16 | 7. [Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese):常见的中文优质PyTorch资源
17 | 8. [labml.ai Deep Learning Paper Implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations):手把手实现经典网络代码
18 | 9. [YSDA course in Natural Language Processing](https://github.com/yandexdataschool/nlp_course):YSDA course in Natural Language Processing
19 | 10. [huggingface](https://huggingface.co/):hugging face
20 | 11. [ModelScope](https://modelscope.cn/models): 魔搭社区
21 |
22 | 除此之外,还有很多学习pytorch的资源在b站,stackoverflow,知乎......未来大家还需要多多探索,我们希望大家可以在实战中不断学习,不断给予我们课程反馈。
23 |
24 | **以上便是第一章的内容了,能力有限,希望各位一定要带着自己的想法去思考问题,也希望各位能指出文档中的问题,我们会不断改进内容,给大家呈现一个更好的教程。**
25 |
26 |
--------------------------------------------------------------------------------
/source/第一章/figures/Anaconda.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/Anaconda.png
--------------------------------------------------------------------------------
/source/第一章/figures/Cuda.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/Cuda.png
--------------------------------------------------------------------------------
/source/第一章/figures/Linux_GPU.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/Linux_GPU.png
--------------------------------------------------------------------------------
/source/第一章/figures/Linux_source.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/Linux_source.png
--------------------------------------------------------------------------------
/source/第一章/figures/Nvidia.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/Nvidia.png
--------------------------------------------------------------------------------
/source/第一章/figures/Pycharm.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/Pycharm.png
--------------------------------------------------------------------------------
/source/第一章/figures/Pytorch.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/Pytorch.png
--------------------------------------------------------------------------------
/source/第一章/figures/check_linux.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/check_linux.png
--------------------------------------------------------------------------------
/source/第一章/figures/check_windows.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/check_windows.png
--------------------------------------------------------------------------------
/source/第一章/figures/choose_envs.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/choose_envs.png
--------------------------------------------------------------------------------
/source/第一章/figures/download.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/download.png
--------------------------------------------------------------------------------
/source/第一章/figures/env_list.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/env_list.png
--------------------------------------------------------------------------------
/source/第一章/figures/envs1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/envs1.png
--------------------------------------------------------------------------------
/source/第一章/figures/envs2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/envs2.png
--------------------------------------------------------------------------------
/source/第一章/figures/gpu.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/gpu.png
--------------------------------------------------------------------------------
/source/第一章/figures/install.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/install.png
--------------------------------------------------------------------------------
/source/第一章/figures/main_compare.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/main_compare.png
--------------------------------------------------------------------------------
/source/第一章/figures/pip换源.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/pip换源.png
--------------------------------------------------------------------------------
/source/第一章/figures/prompt.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/prompt.png
--------------------------------------------------------------------------------
/source/第一章/figures/source_ok.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/source_ok.png
--------------------------------------------------------------------------------
/source/第一章/figures/table.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/table.png
--------------------------------------------------------------------------------
/source/第一章/figures/vim.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/vim.png
--------------------------------------------------------------------------------
/source/第一章/figures/创建新的环境.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第一章/figures/创建新的环境.png
--------------------------------------------------------------------------------
/source/第一章/index.md:
--------------------------------------------------------------------------------
1 | # 第一章:PyTorch的简介和安装
2 | ```{toctree}
3 | :maxdepth: 2
4 | 1.1 PyTorch简介
5 | 1.2 PyTorch的安装
6 | 1.3 PyTorch相关资源
7 | ```
--------------------------------------------------------------------------------
/source/第七章/figures/acc_wandb.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/acc_wandb.png
--------------------------------------------------------------------------------
/source/第七章/figures/aswanlab_mnist_3.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/aswanlab_mnist_3.png
--------------------------------------------------------------------------------
/source/第七章/figures/cam.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/cam.png
--------------------------------------------------------------------------------
/source/第七章/figures/cam_dog.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/cam_dog.png
--------------------------------------------------------------------------------
/source/第七章/figures/dog.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/dog.png
--------------------------------------------------------------------------------
/source/第七章/figures/ft_activate.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/ft_activate.png
--------------------------------------------------------------------------------
/source/第七章/figures/ft_gradient.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/ft_gradient.png
--------------------------------------------------------------------------------
/source/第七章/figures/kernel_vis.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/kernel_vis.png
--------------------------------------------------------------------------------
/source/第七章/figures/layer2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/layer2.png
--------------------------------------------------------------------------------
/source/第七章/figures/layer3.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/layer3.png
--------------------------------------------------------------------------------
/source/第七章/figures/layer4.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/layer4.png
--------------------------------------------------------------------------------
/source/第七章/figures/ssh_tunnel_UI.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/ssh_tunnel_UI.png
--------------------------------------------------------------------------------
/source/第七章/figures/swanlab_hello_world.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/swanlab_hello_world.png
--------------------------------------------------------------------------------
/source/第七章/figures/swanlab_login.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/swanlab_login.png
--------------------------------------------------------------------------------
/source/第七章/figures/swanlab_mnist_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/swanlab_mnist_1.png
--------------------------------------------------------------------------------
/source/第七章/figures/swanlab_mnist_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/swanlab_mnist_2.png
--------------------------------------------------------------------------------
/source/第七章/figures/swanlab_yolo_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/swanlab_yolo_1.png
--------------------------------------------------------------------------------
/source/第七章/figures/swanlab_yolo_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/swanlab_yolo_2.png
--------------------------------------------------------------------------------
/source/第七章/figures/swanlab_yolo_3.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/swanlab_yolo_3.png
--------------------------------------------------------------------------------
/source/第七章/figures/tb_hist.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/tb_hist.png
--------------------------------------------------------------------------------
/source/第七章/figures/tb_image.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/tb_image.png
--------------------------------------------------------------------------------
/source/第七章/figures/tb_image_grid.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/tb_image_grid.png
--------------------------------------------------------------------------------
/source/第七章/figures/tb_images.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/tb_images.png
--------------------------------------------------------------------------------
/source/第七章/figures/tb_model.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/tb_model.png
--------------------------------------------------------------------------------
/source/第七章/figures/tb_scalar.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/tb_scalar.png
--------------------------------------------------------------------------------
/source/第七章/figures/tb_twolines.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/tb_twolines.png
--------------------------------------------------------------------------------
/source/第七章/figures/wandb_api_keys.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/wandb_api_keys.png
--------------------------------------------------------------------------------
/source/第七章/figures/wandb_config.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/wandb_config.png
--------------------------------------------------------------------------------
/source/第七章/figures/wandb_sys.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/wandb_sys.png
--------------------------------------------------------------------------------
/source/第七章/figures/xshell_set.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/xshell_set.png
--------------------------------------------------------------------------------
/source/第七章/figures/xshell_ui.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第七章/figures/xshell_ui.png
--------------------------------------------------------------------------------
/source/第七章/index.md:
--------------------------------------------------------------------------------
1 | # 第七章:PyTorch可视化
2 | ```{toctree}
3 | :maxdepth: 2
4 | 7.1 可视化网络结构
5 | 7.2 CNN卷积层可视化
6 | 7.3 使用TensorBoard可视化训练过程
7 | 7.4 使用wandb可视化训练过程
8 | 7.5 使用SwanLab可视化训练过程
9 | ```
--------------------------------------------------------------------------------
/source/第三章/3.1 思考:完成深度学习的必要部分.md:
--------------------------------------------------------------------------------
1 | # 3.1 思考:完成深度学习的必要部分
2 |
3 | 经过本节的学习,你将收获:
4 |
5 | - 一项机器学习/深度学习任务的整体流程
6 | - 在机器学习和深度学习的每个部分的作用
7 |
8 | 一项机器学习任务时常常有以下的几个重要步骤,首先是**数据的预处理**,其中重要的步骤包括数据格式的统一、异常数据的消除和必要的数据变换,同时**划分训练集、验证集、测试集**,常见的方法包括:按比例随机选取,KFold方法(我们可以使用sklearn带的test_train_split函数、kfold来实现)。接下来**选择模型**,并设定**损失函数和优化方法**,以及对应的**超参数**(当然可以使用sklearn这样的机器学习库中模型自带的损失函数和优化器)。最后用模型去拟合训练集数据,并在**验证集/测试集上计算模型表现**。
9 |
10 | 深度学习和机器学习在流程上类似,但在代码实现上有较大的差异。首先,**由于深度学习所需的样本量很大,一次加载全部数据运行可能会超出内存容量而无法实现;同时还有批(batch)训练等提高模型表现的策略,需要每次训练读取固定数量的样本送入模型中训练**,因此深度学习在数据加载上需要有专门的设计。
11 |
12 | 在模型实现上,深度学习和机器学习也有很大差异。由于深度神经网络层数往往较多,同时会有一些用于实现特定功能的层(如卷积层、池化层、批正则化层、LSTM层等),因此**深度神经网络往往需要“逐层”搭建,或者预先定义好可以实现特定功能的模块,再把这些模块组装起来**。这种“定制化”的模型构建方式能够充分保证模型的灵活性,也对代码实现提出了新的要求。
13 |
14 | 接下来是损失函数和优化器的设定。这部分和经典机器学习的实现是类似的。但由于模型设定的灵活性,**因此损失函数和优化器要能够保证反向传播能够在用户自行定义的模型结构上实现**。
15 |
16 | 上述步骤完成后就可以开始训练了。我们前面介绍了GPU的概念和GPU用于并行计算加速的功能,不过**程序默认是在CPU上运行的**,因此在代码实现中,需要把模型和数据“放到”GPU上去做运算,同时还需要保证损失函数和优化器能够在GPU上工作。如果使用多张GPU进行训练,还需要考虑模型和数据分配、整合的问题。此外,后续计算一些指标还需要把数据“放回”CPU。这里涉及到了一系列**有关于GPU的配置和操作**。
17 |
18 | **深度学习中训练和验证过程最大的特点在于读入数据是按批的,每次读入一个批次的数据,放入GPU中训练,然后将损失函数反向传播回网络最前面的层,同时使用优化器调整网络参数。这里会涉及到各个模块配合的问题。训练/验证后还需要根据设定好的指标计算模型表现。**
19 |
20 | 经过以上步骤,一个深度学习任务就完成了。我们在详细讲解每个部分之前,先梳理了完成各个部分所需的功能,下面我们就去进一步了解一下PyTorch是如何实现各个部分的,以及PyTorch作为一个深度学习框架拥有的模块化特点。
21 |
--------------------------------------------------------------------------------
/source/第三章/3.2 基本配置.md:
--------------------------------------------------------------------------------
1 | # 3.2 基本配置
2 | 对于一个PyTorch项目,我们需要导入一些Python常用的包来帮助我们快速实现功能。常见的包有os、numpy等,此外还需要调用PyTorch自身一些模块便于灵活使用,比如torch、torch.nn、torch.utils.data.Dataset、torch.utils.data.DataLoader、torch.optimizer等等。
3 |
4 | 经过本节的学习,你将收获:
5 |
6 | - 在深度学习/机器学习中常用到的包
7 | - GPU的配置
8 |
9 | 首先导入必须的包。注意这里**只是建议导入的包导入的方式**,可以采用不同的方案,比如涉及到表格信息的读入很可能用到pandas,对于不同的项目可能还需要导入一些更上层的包如cv2等。如果涉及可视化还会用到matplotlib、seaborn等。涉及到下游分析和指标计算也常用到sklearn。
10 |
11 | ```python
12 | import os
13 | import numpy as np
14 | import torch
15 | import torch.nn as nn
16 | from torch.utils.data import Dataset, DataLoader
17 | import torch.optim as optimizer
18 | ```
19 |
20 | 根据前面我们对深度学习任务的梳理,有如下几个超参数可以统一设置,方便后续调试时修改:
21 |
22 | - batch size
23 | - 初始学习率(初始)
24 | - 训练次数(max_epochs)
25 | - GPU配置
26 |
27 | ```python
28 | batch_size = 16
29 | # 批次的大小
30 | lr = 1e-4
31 | # 优化器的学习率
32 | max_epochs = 100
33 | ```
34 | 除了直接将超参数设置在训练的代码里,我们也可以使用yaml、json,dict等文件来存储超参数,这样可以方便后续的调试和修改,这种方式也是常见的深度学习库(mmdetection,Paddledetection,detectron2)和一些AI Lab里面比较常见的一种参数设置方式。
35 |
36 | 我们的数据和模型如果没有经过显式指明设备,默认会存储在CPU上,为了加速模型的训练,我们需要显式调用GPU,一般情况下GPU的设置有两种常见的方式:
37 |
38 | ```python
39 | # 方案一:使用os.environ,这种情况如果使用GPU不需要设置
40 | import os
41 | os.environ['CUDA_VISIBLE_DEVICES'] = '0,1' # 指明调用的GPU为0,1号
42 |
43 | # 方案二:使用“device”,后续对要使用GPU的变量用.to(device)即可
44 | device = torch.device("cuda:1" if torch.cuda.is_available() else "cpu") # 指明调用的GPU为1号
45 | ```
46 |
47 |
48 | 当然还会有一些其他模块或用户自定义模块会用到的参数,有需要也可以在一开始进行设置。
--------------------------------------------------------------------------------
/source/第三章/3.8 可视化.md:
--------------------------------------------------------------------------------
1 | # 3.8 可视化
2 |
3 | 在PyTorch深度学习中,可视化是一个可选项,指的是某些任务在训练完成后,需要对一些必要的内容进行可视化,比如分类的ROC曲线,卷积网络中的卷积核,以及训练/验证过程的损失函数曲线等等。具体的可视化方法可以参考第七章。
4 |
5 |
--------------------------------------------------------------------------------
/source/第三章/figures/3.4.1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第三章/figures/3.4.1.png
--------------------------------------------------------------------------------
/source/第三章/figures/3.4.2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第三章/figures/3.4.2.png
--------------------------------------------------------------------------------
/source/第三章/figures/3.5.1lossfunciton.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第三章/figures/3.5.1lossfunciton.png
--------------------------------------------------------------------------------
/source/第三章/figures/3.5.2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第三章/figures/3.5.2.png
--------------------------------------------------------------------------------
/source/第三章/figures/3.6.1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第三章/figures/3.6.1.png
--------------------------------------------------------------------------------
/source/第三章/figures/3.6.2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第三章/figures/3.6.2.png
--------------------------------------------------------------------------------
/source/第三章/index.md:
--------------------------------------------------------------------------------
1 | # 第三章:PyTorch的主要组成模块
2 | ```{toctree}
3 | :maxdepth: 2
4 | 3.1 思考:完成深度学习的必要部分
5 | 3.2 基本配置
6 | 3.3 数据读入
7 | 3.4 模型构建
8 | 3.5 模型初始化
9 | 3.6 损失函数
10 | 3.7 训练与评估
11 | 3.8 可视化
12 | 3.9 优化器
13 | ```
--------------------------------------------------------------------------------
/source/第九章/figures/frameworks.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第九章/figures/frameworks.png
--------------------------------------------------------------------------------
/source/第九章/figures/grapgflow.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第九章/figures/grapgflow.png
--------------------------------------------------------------------------------
/source/第九章/figures/node.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第九章/figures/node.png
--------------------------------------------------------------------------------
/source/第九章/figures/pipeline.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第九章/figures/pipeline.jpg
--------------------------------------------------------------------------------
/source/第九章/figures/screenshot.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第九章/figures/screenshot.png
--------------------------------------------------------------------------------
/source/第九章/index.md:
--------------------------------------------------------------------------------
1 | # 第九章:PyTorch的模型部署
2 | ```{toctree}
3 | :maxdepth: 2
4 | 9.1 使用ONNX进行部署并推理
5 | ```
--------------------------------------------------------------------------------
/source/第二章/figures/CPU&NPU.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/CPU&NPU.png
--------------------------------------------------------------------------------
/source/第二章/figures/DDP.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/DDP.png
--------------------------------------------------------------------------------
/source/第二章/figures/DP.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/DP.png
--------------------------------------------------------------------------------
/source/第二章/figures/FloorPlan.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/FloorPlan.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/MLU.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/MLU.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/MMU.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/MMU.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/TPU.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/TPU.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/accelerator.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/accelerator.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/backends.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/backends.png
--------------------------------------------------------------------------------
/source/第二章/figures/dadiannao.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/dadiannao.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/data_parllel.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/data_parllel.png
--------------------------------------------------------------------------------
/source/第二章/figures/diannao.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/diannao.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/model_parllel.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/model_parllel.png
--------------------------------------------------------------------------------
/source/第二章/figures/shidiannao.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/shidiannao.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/shidiannao2.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/shidiannao2.jpg
--------------------------------------------------------------------------------
/source/第二章/figures/split.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第二章/figures/split.png
--------------------------------------------------------------------------------
/source/第二章/index.md:
--------------------------------------------------------------------------------
1 | # 第二章:PyTorch基础知识
2 | ```{toctree}
3 | :maxdepth: 2
4 | 2.1 张量
5 | 2.2 自动求导
6 | 2.3 并行计算简介
7 | 2.4 AI硬件加速设备
8 | ```
--------------------------------------------------------------------------------
/source/第五章/figures/5.2.1unet.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第五章/figures/5.2.1unet.png
--------------------------------------------------------------------------------
/source/第五章/figures/resnet.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第五章/figures/resnet.png
--------------------------------------------------------------------------------
/source/第五章/figures/resnet_simplified.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第五章/figures/resnet_simplified.png
--------------------------------------------------------------------------------
/source/第五章/index.md:
--------------------------------------------------------------------------------
1 | # 第五章:PyTorch模型定义
2 | ```{toctree}
3 | :maxdepth: 2
4 | 5.1 PyTorch模型定义的方式
5 | 5.2 利用模型块快速搭建复杂网络
6 | 5.3 PyTorch修改模型
7 | 5.4 PyTorh模型保存与读取
8 | ```
--------------------------------------------------------------------------------
/source/第八章/8.1 本章简介.md:
--------------------------------------------------------------------------------
1 | # 8.1 本章简介
2 |
3 | 恭喜你,经过前面七章内容的学习,你已经逐步熟悉了PyTorch的使用,能够定义和修改自己的模型,学会了常用的训练技巧,并通过可视化辅助PyTorch的使用。
4 |
5 | PyTorch的强大并不仅局限于自身的易用性,更在于开源社区围绕PyTorch所产生的一系列工具包(一般是Python package)和程序,这些优秀的工具包极大地方便了PyTorch在特定领域的使用。比如对于计算机视觉,有TorchVision、TorchVideo等用于图片和视频处理;对于自然语言处理,有torchtext;对于图卷积网络,有PyTorch Geometric ······。这里只是举例,每个领域还有很多优秀的工具包供社区使用。这些工具包共同构成了PyTorch的生态(EcoSystem)。
6 |
7 | PyTorch生态很大程度助力了PyTorch的推广与成功。在特定领域使用PyTorch生态中的工具包,能够极大地降低入门门槛,方便复现已有的工作。比如我们在讨论模型修改时候就用到了torchvision中预定义的resnet结构,而不需要自己重新编写。同时,PyTorch生态有助于社区力量的加入,共同为社区提供更有价值的内容和程序,这也是开源理念所坚持的价值。
8 |
9 | 在后面的内容中,我们会逐步介绍PyTorch生态在图像、视频、文本等领域中的发展,针对某个领域我们选择其中有代表性的一个工具包进行详细介绍,主要包括工具包的作者或其所在机构、数据预处理工具(这块可能再引入第三方工具包)、数据扩增、常用模型结构的预定义、预训练模型权重、常用损失函数、常用评测指标、封装好的训练&测试模块,以及可视化工具。这些内容也是我们在使用对应工具包时会用到的。读者可以根据自身需要重点学习,对于自己研究所不涉及的工具包,可以只做了解,需要使用时再来学习。
10 |
11 |
12 |
13 | **注:**
14 |
15 | 本章内容会不断更新,欢迎大家在issue中提出宝贵建议,或者直接pull request~
16 |
17 |
--------------------------------------------------------------------------------
/source/第八章/figures/Lenna.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/Lenna.jpg
--------------------------------------------------------------------------------
/source/第八章/figures/list.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/list.png
--------------------------------------------------------------------------------
/source/第八章/figures/logo.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/logo.jpg
--------------------------------------------------------------------------------
/source/第八章/figures/logo2.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/logo2.jpg
--------------------------------------------------------------------------------
/source/第八章/figures/output_11_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_11_2.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_13_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_13_1.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_15_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_15_2.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_17_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_17_2.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_19_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_19_2.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_1_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_1_2.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_21_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_21_1.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_3_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_3_1.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_5_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_5_2.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_7_0.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_7_0.png
--------------------------------------------------------------------------------
/source/第八章/figures/output_9_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/output_9_2.png
--------------------------------------------------------------------------------
/source/第八章/figures/torchaudio_feature_extractions.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第八章/figures/torchaudio_feature_extractions.png
--------------------------------------------------------------------------------
/source/第八章/index.md:
--------------------------------------------------------------------------------
1 | # 第八章:PyTorch生态简介
2 | ```{toctree}
3 | :maxdepth: 2
4 | 8.1 本章简介
5 | 8.2 图像 - torchvision
6 | 8.3 视频 - PyTorchVideo
7 | 8.4 文本 - torchtext
8 | 8.5 音频 - torchaudio
9 | ```
--------------------------------------------------------------------------------
/source/第六章/6.4 半精度训练.md:
--------------------------------------------------------------------------------
1 | # 6.4 半精度训练
2 |
3 | 我们提到PyTorch时候,总会想到要用硬件设备GPU的支持。而GPU的性能主要分为两部分:算力和显存,前者决定了显卡计算的速度,后者则决定了显卡可以同时放入多少数据用于计算。在可以使用的显存数量一定的情况下,每次训练能够加载的数据更多(也就是batch size更大),则也可以提高训练效率。另外,有时候数据本身也比较大(比如3D图像、视频等),显存较小的情况下可能甚至batch size为1的情况都无法实现。因此,合理使用显存也就显得十分重要。
4 |
5 | 我们观察PyTorch默认的浮点数存储方式用的是`torch.float32`,小数点后位数更多固然能保证数据的精确性,但绝大多数场景其实并不需要这么精确,只保留一半的信息也不会影响结果,也就是使用`torch.float16`格式。由于数位减了一半,因此被称为“半精度”,具体如下图:
6 |
7 | 
8 |
9 | 显然半精度能够减少显存占用,使得显卡可以同时加载更多数据进行计算。本节会介绍如何在PyTorch中设置使用半精度计算。
10 |
11 | 经过本节的学习,你将收获:
12 |
13 | - 如何在PyTorch中设置半精度训练
14 | - 使用半精度训练的注意事项
15 |
16 |
17 | ## 6.4.1 半精度训练的设置
18 |
19 | 在PyTorch中使用autocast配置半精度训练,同时需要在下面三处加以设置:
20 |
21 | - **import autocast**
22 |
23 | ```python
24 | from torch.cuda.amp import autocast
25 | ```
26 |
27 | - **模型设置**
28 |
29 | 在模型定义中,使用python的装饰器方法,用autocast装饰模型中的forward函数。关于装饰器的使用,可以参考[这里](https://www.cnblogs.com/jfdwd/p/11253925.html):
30 |
31 | ```python
32 | @autocast()
33 | def forward(self, x):
34 | ...
35 | return x
36 | ```
37 |
38 | - **训练过程**
39 |
40 | 在训练过程中,只需在将数据输入模型及其之后的部分放入“with autocast():“即可:
41 |
42 | ```python
43 | for x in train_loader:
44 | x = x.cuda()
45 | with autocast():
46 | output = model(x)
47 | ...
48 | ```
49 |
50 | **注意:**
51 |
52 | 半精度训练主要适用于数据本身的size比较大(比如说3D图像、视频等)。当数据本身的size并不大时(比如手写数字MNIST数据集的图片尺寸只有28*28),使用半精度训练则可能不会带来显著的提升。
53 |
54 |
--------------------------------------------------------------------------------
/source/第六章/figures/Lenna.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/Lenna.jpg
--------------------------------------------------------------------------------
/source/第六章/figures/Lenna_original.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/Lenna_original.png
--------------------------------------------------------------------------------
/source/第六章/figures/aug_seq.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/aug_seq.png
--------------------------------------------------------------------------------
/source/第六章/figures/different_size.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/different_size.png
--------------------------------------------------------------------------------
/source/第六章/figures/finetune.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/finetune.png
--------------------------------------------------------------------------------
/source/第六章/figures/float16.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/float16.jpg
--------------------------------------------------------------------------------
/source/第六章/figures/image_batch.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/image_batch.png
--------------------------------------------------------------------------------
/source/第六章/figures/output_44_1.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/output_44_1.png
--------------------------------------------------------------------------------
/source/第六章/figures/rotate.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第六章/figures/rotate.png
--------------------------------------------------------------------------------
/source/第六章/index.md:
--------------------------------------------------------------------------------
1 | # 第六章:PyTorch进阶训练技巧
2 | ```{toctree}
3 | :maxdepth: 2
4 | 6.1 自定义损失函数
5 | 6.2 动态调整学习率
6 | 6.3 模型微调-torchvision
7 | 6.3 模型微调-timm
8 | 6.4 半精度训练
9 | 6.5 数据增强-imgaug
10 | 6.6 使用argparse进行调参
11 | ```
--------------------------------------------------------------------------------
/source/第十章/10.1 图像分类.md:
--------------------------------------------------------------------------------
1 | # 10.1 图像分类简介(补充中)
--------------------------------------------------------------------------------
/source/第十章/10.3 图像分割.md:
--------------------------------------------------------------------------------
1 | # 10.3 图像分割简介(补充中)
--------------------------------------------------------------------------------
/source/第十章/YOLO系列解读/MMYOLO实现/resources/mmyolo-logo.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/YOLO系列解读/MMYOLO实现/resources/mmyolo-logo.png
--------------------------------------------------------------------------------
/source/第十章/YOLO系列解读/MMYOLO实现/resources/qq_group_qrcode.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/YOLO系列解读/MMYOLO实现/resources/qq_group_qrcode.jpg
--------------------------------------------------------------------------------
/source/第十章/YOLO系列解读/MMYOLO实现/resources/zhihu_qrcode.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/YOLO系列解读/MMYOLO实现/resources/zhihu_qrcode.jpg
--------------------------------------------------------------------------------
/source/第十章/YOLO系列解读/torch实现/README.md:
--------------------------------------------------------------------------------
1 | 这是torch版本的yolo解读
--------------------------------------------------------------------------------
/source/第十章/figures/Architecture.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Architecture.png
--------------------------------------------------------------------------------
/source/第十章/figures/Hyper_parameters.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Hyper_parameters.png
--------------------------------------------------------------------------------
/source/第十章/figures/LSTM-arch.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/LSTM-arch.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/LSTM-gate_f.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/LSTM-gate_f.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/LSTM-gate_m.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/LSTM-gate_m.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/LSTM-gate_o.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/LSTM-gate_o.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/LSTM-update.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/LSTM-update.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/Mask.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Mask.png
--------------------------------------------------------------------------------
/source/第十章/figures/Net.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Net.png
--------------------------------------------------------------------------------
/source/第十章/figures/Patch_Merging.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Patch_Merging.png
--------------------------------------------------------------------------------
/source/第十章/figures/Patch_Merging_dim.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Patch_Merging_dim.png
--------------------------------------------------------------------------------
/source/第十章/figures/Patch_embedding.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Patch_embedding.png
--------------------------------------------------------------------------------
/source/第十章/figures/Shift_window_index.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Shift_window_index.png
--------------------------------------------------------------------------------
/source/第十章/figures/Shifted_Window.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Shifted_Window.png
--------------------------------------------------------------------------------
/source/第十章/figures/Swin-T&ViT.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Swin-T&ViT.png
--------------------------------------------------------------------------------
/source/第十章/figures/Swin-T.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Swin-T.png
--------------------------------------------------------------------------------
/source/第十章/figures/Swin-T_block.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Swin-T_block.png
--------------------------------------------------------------------------------
/source/第十章/figures/W-MSA.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/W-MSA.png
--------------------------------------------------------------------------------
/source/第十章/figures/Window_Partition_Reverse.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/Window_Partition_Reverse.png
--------------------------------------------------------------------------------
/source/第十章/figures/bias0.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/bias0.png
--------------------------------------------------------------------------------
/source/第十章/figures/block.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/block.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/code_Architecture.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/code_Architecture.png
--------------------------------------------------------------------------------
/source/第十章/figures/coords.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/coords.png
--------------------------------------------------------------------------------
/source/第十章/figures/expansion.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/expansion.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/relative_pos_bias_table.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/relative_pos_bias_table.png
--------------------------------------------------------------------------------
/source/第十章/figures/relative_pos_code.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/relative_pos_code.png
--------------------------------------------------------------------------------
/source/第十章/figures/shortcut.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/shortcut.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/shortcut2.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/shortcut2.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/torch_roll.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/torch_roll.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_Decoder.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_Decoder.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_Encoder.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_Encoder.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_Multi-Head attention.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_Multi-Head attention.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_Multi-Head attention_compute.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_Multi-Head attention_compute.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_Multi-Head visual.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_Multi-Head visual.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_architecture.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_architecture.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_attention.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_attention.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_attention_compute.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_attention_compute.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_attention_compute_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_attention_compute_2.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_datalink.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_datalink.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_position_embedding.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_position_embedding.png
--------------------------------------------------------------------------------
/source/第十章/figures/transformer_selfattention.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/transformer_selfattention.jpg
--------------------------------------------------------------------------------
/source/第十章/figures/vit_cls_pos.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/vit_cls_pos.png
--------------------------------------------------------------------------------
/source/第十章/figures/vit_framework.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/vit_framework.png
--------------------------------------------------------------------------------
/source/第十章/figures/vit_msa.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/vit_msa.png
--------------------------------------------------------------------------------
/source/第十章/figures/vit_sa.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/vit_sa.png
--------------------------------------------------------------------------------
/source/第十章/figures/vit_transformer.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/vit_transformer.png
--------------------------------------------------------------------------------
/source/第十章/figures/相对位置索引.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/相对位置索引.png
--------------------------------------------------------------------------------
/source/第十章/figures/绝对位置索引.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第十章/figures/绝对位置索引.png
--------------------------------------------------------------------------------
/source/第十章/index.md:
--------------------------------------------------------------------------------
1 | # 第十章:常见代码解读
2 | ```{toctree}
3 | :maxdepth: 2
4 | 10.1 图像分类
5 | 10.2 目标检测
6 | 10.3 图像分割
7 | ResNet源码解读
8 | RNN详解及其实现
9 | LSTM解读及实战
10 | Transformer 解读
11 | ViT解读
12 | Swin-Transformer解读
13 | ```
--------------------------------------------------------------------------------
/source/第四章/4.2 GoogleNet.md:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/4.2 GoogleNet.md
--------------------------------------------------------------------------------
/source/第四章/4.3 DenseNet.md:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/4.3 DenseNet.md
--------------------------------------------------------------------------------
/source/第四章/figures/Net.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/figures/Net.png
--------------------------------------------------------------------------------
/source/第四章/figures/block.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/figures/block.jpg
--------------------------------------------------------------------------------
/source/第四章/figures/coords.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/figures/coords.png
--------------------------------------------------------------------------------
/source/第四章/figures/expansion.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/figures/expansion.jpg
--------------------------------------------------------------------------------
/source/第四章/figures/fashion-mnist-sprite.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/figures/fashion-mnist-sprite.png
--------------------------------------------------------------------------------
/source/第四章/figures/output_13_2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/figures/output_13_2.png
--------------------------------------------------------------------------------
/source/第四章/figures/shortcut.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/figures/shortcut.jpg
--------------------------------------------------------------------------------
/source/第四章/figures/shortcut2.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第四章/figures/shortcut2.jpg
--------------------------------------------------------------------------------
/source/第四章/index.md:
--------------------------------------------------------------------------------
1 | # 第四章:PyTorch基础实战
2 | ```{toctree}
3 | :maxdepth: 2
4 | 4.1 ResNet
5 | 4.2 GoogLeNet
6 | 4.3 DenseNet
7 | 4.4 FashionMNIST图像分类
8 | ```
--------------------------------------------------------------------------------
/source/第零章/0.3 常用包的学习.md:
--------------------------------------------------------------------------------
1 | # 常用包的学习
2 | ## Numpy
3 | ## pandas
4 | ## matplotlib
--------------------------------------------------------------------------------
/source/第零章/figures/AI&ML&DL.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/AI&ML&DL.jpg
--------------------------------------------------------------------------------
/source/第零章/figures/AI.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/AI.jpg
--------------------------------------------------------------------------------
/source/第零章/figures/IOU.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/IOU.png
--------------------------------------------------------------------------------
/source/第零章/figures/PR.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/PR.png
--------------------------------------------------------------------------------
/source/第零章/figures/confusion_matrix.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/confusion_matrix.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220716235443528.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220716235443528.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220716235510697.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220716235510697.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220716235540827.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220716235540827.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220716235931573.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220716235931573.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220717000530228.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220717000530228.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220717001243904.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220717001243904.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220804170455298.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220804170455298.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220804171027983.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220804171027983.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805024106987.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805024106987.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805030345613.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805030345613.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805030406608.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805030406608.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805031209481.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805031209481.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805033034092.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805033034092.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805144702521.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805144702521.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805144722375.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805144722375.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805144803441.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805144803441.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805145218241.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805145218241.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805150721875.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805150721875.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805151600140.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805151600140.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805152331777.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805152331777.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220805152507891.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220805152507891.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220812162810305.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220812162810305.png
--------------------------------------------------------------------------------
/source/第零章/figures/image-20220812171025719.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/image-20220812171025719.png
--------------------------------------------------------------------------------
/source/第零章/figures/normalized_confusion_matrix.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/datawhalechina/thorough-pytorch/16e89a84f596d878a631fe43720cf4a70f5b22c3/source/第零章/figures/normalized_confusion_matrix.png
--------------------------------------------------------------------------------
/source/第零章/index.md:
--------------------------------------------------------------------------------
1 | # 第零章:前置知识
2 | ```{toctree}
3 | :maxdepth: 2
4 | 0.1 人工智能简史
5 | 0.2 评价指标
6 | 0.3 常用包的学习
7 | 0.4 Jupyter相关操作
8 | ```
--------------------------------------------------------------------------------