From 05ec4bb8258892d9c75b405be13d0aaeae270a57 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=83=91=E7=89=B9=E9=A9=B9?= Date: Wed, 25 Jun 2025 14:54:38 +0800 Subject: [PATCH] =?UTF-8?q?[=E8=B5=84=E6=96=99=E6=95=B4=E6=94=B9]=20?= =?UTF-8?q?=E8=A7=A3=E5=86=B3=E9=93=BE=E6=8E=A5=E8=B7=B3=E8=BD=AC=E6=97=A0?= =?UTF-8?q?=E6=95=88=E7=9A=84=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../audio/Wenet_Conformer_for_Pytorch/README.md | 5 +++-- .../cv/classification/CRNN_for_PyTorch/README.md | 10 +++++----- .../EfficientNetV2_for_PyTorch/README.md | 10 +++++----- .../MobileNetV3-Large_ID1784_for_PyTorch/README.md | 10 +++++----- .../Resnet50_Cifar_for_PyTorch/README.md | 13 +++++++------ .../Faster_Mask_RCNN_for_PyTorch/README.md | 13 +++++++------ PyTorch/built-in/mm/CLIP_for_PyTorch/README.md | 12 ++++++------ .../nlp/Bert_Chinese_ID3433_for_PyTorch/README.md | 11 ++++++----- .../Fairseq_Transformer_wmt18_for_PyTorch/README.md | 10 +++++----- PyTorch/built-in/rl/MAPPO_for_PyTorch/README.md | 10 +++++----- PyTorch/built-in/rl/PPO_for_Pytorch/README.md | 10 +++++----- PyTorch/contrib/audio/wav2vec2.0/README.md | 11 ++++++----- .../HRNet_ID1780_for_PyTorch/README.md | 11 ++++++----- .../InceptionV3_ID1596_for_PyTorch/README.md | 10 +++++----- .../pose_estimation/Lightweight_OpenPose/README.md | 10 +++++----- .../DeeplabV3_for_Pytorch/README.md | 10 +++++----- PyTorch/contrib/nlp/BERT-NER-Pytorch/README.md | 2 ++ .../contrib/nlp/albert_ID0335_for_PyTorch/README.md | 11 ++++++----- PyTorch/contrib/nlp/roberta_for_PyTorch/README.md | 11 ++++++----- 19 files changed, 100 insertions(+), 90 deletions(-) diff --git a/PyTorch/built-in/audio/Wenet_Conformer_for_Pytorch/README.md b/PyTorch/built-in/audio/Wenet_Conformer_for_Pytorch/README.md index 970731b436..ac50f88d60 100644 --- a/PyTorch/built-in/audio/Wenet_Conformer_for_Pytorch/README.md +++ b/PyTorch/built-in/audio/Wenet_Conformer_for_Pytorch/README.md @@ -5,7 +5,7 @@ - [支持特性](#支持特性) - [代码实现](#代码实现) - [Wenet-Conformer](#Wenet-Conformer) - - [准备训练环境](#准备训练环境) + - [准备环境](#准备环境) - [准备数据集](#准备数据集) - [开始训练](#开始训练) - [训练结果展示](#训练结果展示) @@ -43,7 +43,7 @@ Wenet是一款开源的、面向工业落地应用的语音识别工具包，主 code_path=PyTorch/built-in/audio ``` - + # Wenet-Conformer ## 准备环境 @@ -214,6 +214,7 @@ Wenet是一款开源的、面向工业落地应用的语音识别工具包，主 2024.03.16: 增加PyTorch2.1基线，增加FAQ。 + # FAQ Q1：Pytorch2.1版本，运行时可能出现段错误 diff --git a/PyTorch/built-in/cv/classification/CRNN_for_PyTorch/README.md b/PyTorch/built-in/cv/classification/CRNN_for_PyTorch/README.md index fe51e6a438..c18ca73073 100644 --- a/PyTorch/built-in/cv/classification/CRNN_for_PyTorch/README.md +++ b/PyTorch/built-in/cv/classification/CRNN_for_PyTorch/README.md @@ -1,10 +1,10 @@ # CRNN for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) diff --git a/PyTorch/built-in/cv/classification/EfficientNetV2_for_PyTorch/README.md b/PyTorch/built-in/cv/classification/EfficientNetV2_for_PyTorch/README.md index 0d499d57c1..9f550ca242 100644 --- a/PyTorch/built-in/cv/classification/EfficientNetV2_for_PyTorch/README.md +++ b/PyTorch/built-in/cv/classification/EfficientNetV2_for_PyTorch/README.md @@ -1,10 +1,10 @@ # EfficientNetV2 for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) diff --git a/PyTorch/built-in/cv/classification/MobileNetV3-Large_ID1784_for_PyTorch/README.md b/PyTorch/built-in/cv/classification/MobileNetV3-Large_ID1784_for_PyTorch/README.md index d3ff100f6a..9c4750b56e 100644 --- a/PyTorch/built-in/cv/classification/MobileNetV3-Large_ID1784_for_PyTorch/README.md +++ b/PyTorch/built-in/cv/classification/MobileNetV3-Large_ID1784_for_PyTorch/README.md @@ -1,10 +1,10 @@ # MobileNetv3 for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) # 概述 diff --git a/PyTorch/built-in/cv/classification/Resnet50_Cifar_for_PyTorch/README.md b/PyTorch/built-in/cv/classification/Resnet50_Cifar_for_PyTorch/README.md index 1dd724ab1f..a296593c21 100644 --- a/PyTorch/built-in/cv/classification/Resnet50_Cifar_for_PyTorch/README.md +++ b/PyTorch/built-in/cv/classification/Resnet50_Cifar_for_PyTorch/README.md @@ -1,11 +1,11 @@ # Resnet50-cifar for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [vNPU训练模型](vNPU训练模型.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [vNPU训练模型](#vNPU训练模型) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) @@ -183,6 +183,7 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 Op 训练完成后，权重文件保存在当前路径下，并输出模型训练精度和性能信息。 + # vNPU训练模型 ## 切分vNPU diff --git a/PyTorch/built-in/cv/detection/Faster_Mask_RCNN_for_PyTorch/README.md b/PyTorch/built-in/cv/detection/Faster_Mask_RCNN_for_PyTorch/README.md index d201c8cb42..813a8c001b 100644 --- a/PyTorch/built-in/cv/detection/Faster_Mask_RCNN_for_PyTorch/README.md +++ b/PyTorch/built-in/cv/detection/Faster_Mask_RCNN_for_PyTorch/README.md @@ -1,11 +1,11 @@ # Faster Mask RCNN for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [vNPU训练模型](vNPU训练模型.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [vNPU训练模型](#vNPU训练模型) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) @@ -221,6 +221,7 @@ FasterRCNN是一个业界领先的目标检测网络，他继承了FastRCNN的 训练完成后，权重文件保存在当前路径下，并输出模型训练精度和性能信息。 + # vNPU训练模型 ## 切分vNPU diff --git a/PyTorch/built-in/mm/CLIP_for_PyTorch/README.md b/PyTorch/built-in/mm/CLIP_for_PyTorch/README.md index 2fbaa3c73a..9b55e5c4e9 100644 --- a/PyTorch/built-in/mm/CLIP_for_PyTorch/README.md +++ b/PyTorch/built-in/mm/CLIP_for_PyTorch/README.md @@ -1,10 +1,10 @@ # CLIP for PyTorch -- [概述](#1) -- [准备训练环境](#2) -- [开始训练](#3) -- [训练结果展示](#4) -- [版本说明](#5) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) # 概述 @@ -70,7 +70,7 @@ CLIP (Contrastive Language-Image Pre-Training，以下简称 CLIP) 模型是 Ope - 安装依赖。 - 在模型源码包根目录下执行命令，安装模型对应PyTorch版本需要的依赖。 + 在模型源码包根目录下执行命令，安装模型需要的依赖。 ```bash python3 -m pip install -r requirements.txt ``` diff --git a/PyTorch/built-in/nlp/Bert_Chinese_ID3433_for_PyTorch/README.md b/PyTorch/built-in/nlp/Bert_Chinese_ID3433_for_PyTorch/README.md index 75eacb95eb..2c9ace1c26 100644 --- a/PyTorch/built-in/nlp/Bert_Chinese_ID3433_for_PyTorch/README.md +++ b/PyTorch/built-in/nlp/Bert_Chinese_ID3433_for_PyTorch/README.md @@ -1,10 +1,10 @@ # Bert_Chinese for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) # 概述 @@ -69,6 +69,7 @@ BERT的全称是Bidirectional Encoder Representation from Transformers，即双 - 安装依赖： + 在模型根目录下执行命令，安装模型需要的依赖。 ``` pip install -r requirements.txt ``` diff --git a/PyTorch/built-in/nlp/Fairseq_Transformer_wmt18_for_PyTorch/README.md b/PyTorch/built-in/nlp/Fairseq_Transformer_wmt18_for_PyTorch/README.md index de16d0f132..b2e2822f2f 100644 --- a/PyTorch/built-in/nlp/Fairseq_Transformer_wmt18_for_PyTorch/README.md +++ b/PyTorch/built-in/nlp/Fairseq_Transformer_wmt18_for_PyTorch/README.md @@ -1,14 +1,14 @@ # Fairseq Transformer wmt18 for PyTorch -- [概述](概述.md) +- [概述](#概述) -- [准备训练环境](准备训练环境.md) +- [准备训练环境](#准备训练环境) -- [开始训练](开始训练.md) +- [开始训练](#开始训练) -- [训练结果展示](训练结果展示.md) +- [训练结果展示](#训练结果展示) -- [版本说明](版本说明.md) +- [版本说明](#版本说明) # 概述 diff --git a/PyTorch/built-in/rl/MAPPO_for_PyTorch/README.md b/PyTorch/built-in/rl/MAPPO_for_PyTorch/README.md index 677ccfd065..24342a9850 100644 --- a/PyTorch/built-in/rl/MAPPO_for_PyTorch/README.md +++ b/PyTorch/built-in/rl/MAPPO_for_PyTorch/README.md @@ -1,10 +1,10 @@ # MAPPO for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) diff --git a/PyTorch/built-in/rl/PPO_for_Pytorch/README.md b/PyTorch/built-in/rl/PPO_for_Pytorch/README.md index 2ecfd6b742..361f17c526 100644 --- a/PyTorch/built-in/rl/PPO_for_Pytorch/README.md +++ b/PyTorch/built-in/rl/PPO_for_Pytorch/README.md @@ -1,10 +1,10 @@ # PPO for Pytorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) diff --git a/PyTorch/contrib/audio/wav2vec2.0/README.md b/PyTorch/contrib/audio/wav2vec2.0/README.md index 32dc54b062..418ec34db8 100644 --- a/PyTorch/contrib/audio/wav2vec2.0/README.md +++ b/PyTorch/contrib/audio/wav2vec2.0/README.md @@ -1,10 +1,10 @@ # Wav2Vec2.0 for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) # 概述 @@ -69,6 +69,7 @@ Wav2vec2.0是Meta在2020年发表的无监督语音预训练模型。它的核 - 安装依赖。 + 在模型源码包根目录下执行命令，安装模型需要的依赖。 ``` pip install -r requirements.txt apt-get install libsndfile1 (yum install libsndfile1) diff --git a/PyTorch/contrib/cv/classification/HRNet_ID1780_for_PyTorch/README.md b/PyTorch/contrib/cv/classification/HRNet_ID1780_for_PyTorch/README.md index 4fa685e4ea..f58977db7f 100644 --- a/PyTorch/contrib/cv/classification/HRNet_ID1780_for_PyTorch/README.md +++ b/PyTorch/contrib/cv/classification/HRNet_ID1780_for_PyTorch/README.md @@ -1,10 +1,10 @@ # HRNet for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) @@ -70,6 +70,7 @@ HRNet，是一个用于图像分类的高分辨网络。通过并行连接高分 - 安装依赖。 + 在模型源码包根目录下执行命令，安装模型需要的依赖。 ``` pip install -r requirements.txt ``` diff --git a/PyTorch/contrib/cv/classification/InceptionV3_ID1596_for_PyTorch/README.md b/PyTorch/contrib/cv/classification/InceptionV3_ID1596_for_PyTorch/README.md index dd3f5a72dc..1bf6569483 100644 --- a/PyTorch/contrib/cv/classification/InceptionV3_ID1596_for_PyTorch/README.md +++ b/PyTorch/contrib/cv/classification/InceptionV3_ID1596_for_PyTorch/README.md @@ -1,10 +1,10 @@ # Inception_v3 for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) # 概述 diff --git a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/README.md b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/README.md index 586660827a..b395588c10 100644 --- a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/README.md +++ b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/README.md @@ -1,10 +1,10 @@ # Lightweight OpenPose for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) # 概述 ## 简述 diff --git a/PyTorch/contrib/cv/semantic_segmentation/DeeplabV3_for_Pytorch/README.md b/PyTorch/contrib/cv/semantic_segmentation/DeeplabV3_for_Pytorch/README.md index 9c75a3eb6f..51e938fd71 100644 --- a/PyTorch/contrib/cv/semantic_segmentation/DeeplabV3_for_Pytorch/README.md +++ b/PyTorch/contrib/cv/semantic_segmentation/DeeplabV3_for_Pytorch/README.md @@ -1,10 +1,10 @@ # DeeplabV3 for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) diff --git a/PyTorch/contrib/nlp/BERT-NER-Pytorch/README.md b/PyTorch/contrib/nlp/BERT-NER-Pytorch/README.md index 71fe8faab6..007eb11acf 100644 --- a/PyTorch/contrib/nlp/BERT-NER-Pytorch/README.md +++ b/PyTorch/contrib/nlp/BERT-NER-Pytorch/README.md @@ -62,6 +62,8 @@ BERT-CRF 是用于自然语言处理中实体识别任务的模型 | PyTorch 2.1 | transformers 4.29.2 | - 安装依赖 + + 在模型根目录下执行命令，安装模型需要的依赖。 ``` pip install -r requirements.txt ``` diff --git a/PyTorch/contrib/nlp/albert_ID0335_for_PyTorch/README.md b/PyTorch/contrib/nlp/albert_ID0335_for_PyTorch/README.md index 5cb60a6081..2a99178c9a 100644 --- a/PyTorch/contrib/nlp/albert_ID0335_for_PyTorch/README.md +++ b/PyTorch/contrib/nlp/albert_ID0335_for_PyTorch/README.md @@ -1,10 +1,10 @@ # Albert for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) @@ -71,6 +71,7 @@ Albert是自然语言处理模型，基于Bert模型修改得到。相比于Bert - 安装依赖。 + 在模型根目录下执行命令，安装模型需要的依赖。 ``` pip install -r requirements.txt ``` diff --git a/PyTorch/contrib/nlp/roberta_for_PyTorch/README.md b/PyTorch/contrib/nlp/roberta_for_PyTorch/README.md index 0497f2088f..a33954a66e 100644 --- a/PyTorch/contrib/nlp/roberta_for_PyTorch/README.md +++ b/PyTorch/contrib/nlp/roberta_for_PyTorch/README.md @@ -1,10 +1,10 @@ # RoBERTa for PyTorch -- [概述](概述.md) -- [准备训练环境](准备训练环境.md) -- [开始训练](开始训练.md) -- [训练结果展示](训练结果展示.md) -- [版本说明](版本说明.md) +- [概述](#概述) +- [准备训练环境](#准备训练环境) +- [开始训练](#开始训练) +- [训练结果展示](#训练结果展示) +- [版本说明](#版本说明) @@ -73,6 +73,7 @@ RoBERTa 在模型规模、算力和数据上，都比 BERT 有一定的提升。 - 安装依赖： + 在模型源码包根目录下执行命令，安装模型需要的依赖。 ``` pip install -r 2.0_requirements.txt # PyTorch2.0及以上版本 python3 setup.py build_ext --inplace -- Gitee