From 50d3b865cdff0fe6986ee2a26d07f1155381f3d5 Mon Sep 17 00:00:00 2001 From: zhangchenrui Date: Thu, 11 Sep 2025 11:10:02 +0800 Subject: [PATCH] delete -no-check-certificate --- docs/faq/model_faq.md | 10 +++++----- model_examples/Diffusion-Planner/README.md | 4 ++-- model_examples/GameFormer/README.md | 2 +- model_examples/HPTR/README.md | 2 +- model_examples/LaneSegNet/README.md | 5 ++--- model_examples/MapTR/README.md | 5 ++--- model_examples/OpenVLA/README.md | 2 +- model_examples/PivotNet/README.md | 11 +++++------ model_examples/QCNet/README.md | 2 +- model_examples/Sparse4D/README.md | 2 +- model_examples/SparseDrive/README.md | 2 +- model_examples/StreamPETR/README.md | 5 ++--- 12 files changed, 24 insertions(+), 28 deletions(-) diff --git a/docs/faq/model_faq.md b/docs/faq/model_faq.md index 11e0b6f6..eac755db 100644 --- a/docs/faq/model_faq.md +++ b/docs/faq/model_faq.md @@ -219,27 +219,27 @@ cd gmp-6.1.0 make -j128 make install cd ../ -wget https://ftp.swin.edu.au/gnu/mpfr/mpfr-4.1.1.tar.gz --no-check-certificate +wget https://ftp.swin.edu.au/gnu/mpfr/mpfr-4.1.1.tar.gz tar -zxvf mpfr-4.1.1.tar.gz cd mpfr-4.1.1 ./configure --prefix=/usr/local/mpfr --with-gmp=/usr/local/gmp # 该步骤若报错，替换命令为：./configure --with-gmp=/usr/local/gmp make -j128 make install cd ../ -wget https://github.com/OpenMathLib/OpenBLAS/archive/refs/tags/v0.3.24.zip --no-check-certificate +wget https://github.com/OpenMathLib/OpenBLAS/archive/refs/tags/v0.3.24.zip unzip v0.3.24.zip cd OpenBLAS-0.3.24 make -j128 make PREFIX=/usr/local install cd ../ -wget https://github.com/sqlite/sqlite/archive/refs/tags/version-3.36.0.tar.gz --no-check-certificate +wget https://github.com/sqlite/sqlite/archive/refs/tags/version-3.36.0.tar.gz tar -xzvf version-3.36.0.tar.gz cd sqlite-version-3.36.0 CFLAGS="-DSQLITE_ENABLE_COLUMN_METADATA=1" ./configure make -j128 make install cd ../ -wget https://github.com/OSGeo/PROJ/archive/refs/tags/7.2.0.tar.gz --no-check-certificate +wget https://github.com/OSGeo/PROJ/archive/refs/tags/7.2.0.tar.gz tar -xzvf 7.2.0.tar.gz cd PROJ-7.2.0 mkdir build @@ -405,7 +405,7 @@ export LD_PRELOAD={conda_env_path}/site-packages/sklearn/__check_build/../../sci #### 7.1 模型所需的预训练权重文件因网络问题下载失败如何解决？ 预训练权重文件下载失败，可以根据报错链接，手动下载，拷贝到用户名对应目录： ``` - wget ckpt_file --no-check-certificate # 将预训练权重文件的链接记为ckpt_file + wget ckpt_file # 将预训练权重文件的链接记为ckpt_file cp ckpt_file {root}/.cache/torch/hub/checkpoints/resnet-*.pth # 将用户根目录记为{root} ``` diff --git a/model_examples/Diffusion-Planner/README.md b/model_examples/Diffusion-Planner/README.md index 6fe5ea84..19ff5b50 100644 --- a/model_examples/Diffusion-Planner/README.md +++ b/model_examples/Diffusion-Planner/README.md @@ -195,7 +195,7 @@ make install ``` 安装mpfr的命令 ``` -wget https://ftp.swin.edu.au/gnu/mpfr/mpfr-4.1.1.tar.gz --no-check-certificate +wget https://ftp.swin.edu.au/gnu/mpfr/mpfr-4.1.1.tar.gz tar -zxvf mpfr-4.1.1.tar.gz cd mpfr-4.1.1 ./configure --prefix=/usr/local/mpfr --with-gmp=/usr/local/gmp @@ -207,7 +207,7 @@ make install ``` 安装OpenBLAS ``` -wget https://github.com/OpenMathLib/OpenBLAS/archive/refs/tags/v0.3.24.zip --no-check-certificate +wget https://github.com/OpenMathLib/OpenBLAS/archive/refs/tags/v0.3.24.zip unzip v0.3.24.zip cd OpenBLAS-0.3.24 make -j8 diff --git a/model_examples/GameFormer/README.md b/model_examples/GameFormer/README.md index 52071d28..04cc0b39 100644 --- a/model_examples/GameFormer/README.md +++ b/model_examples/GameFormer/README.md @@ -89,7 +89,7 @@ ``` 对于arm64架构Linux系统，waymo官方并没有提供预先编译好whl包。为了方便用户使用，我们提供arm64系统编译的whl包，可以直接在华为云OBS上进行下载。 ``` - wget --no-check-certificate https://pytorch-package.obs.cn-north-4.myhuaweicloud.com/DrivingSDK/packages/waymo_open_dataset_tf_2.11.0-1.5.0-py3-none-any.whl + wget https://pytorch-package.obs.cn-north-4.myhuaweicloud.com/DrivingSDK/packages/waymo_open_dataset_tf_2.11.0-1.5.0-py3-none-any.whl pip install -r requirements_waymo.txt pip install waymo_open_dataset_tf_2.11.0-1.5.0-py3-none-any.whl ``` diff --git a/model_examples/HPTR/README.md b/model_examples/HPTR/README.md index cf7858ed..9fabab94 100644 --- a/model_examples/HPTR/README.md +++ b/model_examples/HPTR/README.md @@ -96,7 +96,7 @@ HPTR 是一种用于自动驾驶实时运动预测的层次化Transformer模型 ``` 对于 arm64 架构 Linux 系统，waymo 官方并没有提供预先编译好 whl 包。为了方便用户使用，我们提供 arm64 系统编译的 whl 包，可以直接在华为云 OBS 上进行下载： ``` - wget --no-check-certificate https://pytorch-package.obs.cn-north-4.myhuaweicloud.com/DrivingSDK/packages/waymo_open_dataset_tf_2.11.0-1.5.0-py3-none-any.whl + wget https://pytorch-package.obs.cn-north-4.myhuaweicloud.com/DrivingSDK/packages/waymo_open_dataset_tf_2.11.0-1.5.0-py3-none-any.whl pip install waymo_open_dataset_tf_2.11.0-1.5.0-py3-none-any.whl ``` diff --git a/model_examples/LaneSegNet/README.md b/model_examples/LaneSegNet/README.md index f24d1f95..d37c94eb 100644 --- a/model_examples/LaneSegNet/README.md +++ b/model_examples/LaneSegNet/README.md @@ -143,9 +143,8 @@ code_path=DrivingSDK/model_examples/LaneSegNet - 安装毕昇编译器 - 将CANN包安装目录记为cann_root_dir，执行下列命令安装毕昇编译器。 + 将CANN包安装目录记为cann_root_dir，执行下列命令安装毕昇编译器， 在官网下载毕昇编译器4.1.0版本：https://www.hikunpeng.com/zh/developer/devkit/download/bishengcompiler 。 ``` - wget https://kunpeng-repo.obs.cn-north-4.myhuaweicloud.com/BiSheng%20Enterprise/BiSheng%20Enterprise%20203.0.0/BiShengCompiler-4.1.0-aarch64-linux.tar.gz tar -xvf BiShengCompiler-4.1.0-aarch64-linux.tar.gz export PATH=$(pwd)/BiShengCompiler-4.1.0-aarch64-linux/bin:$PATH export LD_LIBRARY_PATH=$(pwd)/BiShengCompiler-4.1.0-aarch64-linux/lib:$LD_LIBRARY_PATH @@ -154,7 +153,7 @@ code_path=DrivingSDK/model_examples/LaneSegNet - 安装依赖，将安装mpdecimal依赖包的目录记为mpdecimal_install_path。 ``` - wget --no-check-certificate https://www.bytereef.org/software/mpdecimal/releases/mpdecimal-2.5.1.tar.gz + wget https://www.bytereef.org/software/mpdecimal/releases/mpdecimal-2.5.1.tar.gz tar -xvf mpdecimal-2.5.1.tar.gz cd mpdecimal-2.5.1 bash ./configure --prefix=mpdecimal_install_path diff --git a/model_examples/MapTR/README.md b/model_examples/MapTR/README.md index 761bc483..9254871f 100644 --- a/model_examples/MapTR/README.md +++ b/model_examples/MapTR/README.md @@ -158,9 +158,8 @@ MapTR是一种高效的端到端Transformer模型，用于在线构建矢量化 - 安装毕昇编译器 - 将CANN包安装目录记为cann_root_dir，执行下列命令安装毕昇编译器。 + 将CANN包安装目录记为cann_root_dir，执行下列命令安装毕昇编译器，官网下载毕昇编译器4.1.0版本：https://www.hikunpeng.com/zh/developer/devkit/download/bishengcompiler。 ``` - wget https://kunpeng-repo.obs.cn-north-4.myhuaweicloud.com/BiSheng%20Enterprise/BiSheng%20Enterprise%20203.0.0/BiShengCompiler-4.1.0-aarch64-linux.tar.gz tar -xvf BiShengCompiler-4.1.0-aarch64-linux.tar.gz export PATH=$(pwd)/BiShengCompiler-4.1.0-aarch64-linux/bin:$PATH export LD_LIBRARY_PATH=$(pwd)/BiShengCompiler-4.1.0-aarch64-linux/lib:$LD_LIBRARY_PATH @@ -169,7 +168,7 @@ MapTR是一种高效的端到端Transformer模型，用于在线构建矢量化 - 安装依赖，将安装mpdecimal依赖包的目录记为mpdecimal_install_path。 ``` - wget --no-check-certificate https://www.bytereef.org/software/mpdecimal/releases/mpdecimal-2.5.1.tar.gz + wget https://www.bytereef.org/software/mpdecimal/releases/mpdecimal-2.5.1.tar.gz tar -xvf mpdecimal-2.5.1.tar.gz cd mpdecimal-2.5.1 bash ./configure --prefix=mpdecimal_install_path diff --git a/model_examples/OpenVLA/README.md b/model_examples/OpenVLA/README.md index ade23a00..09f54bbb 100644 --- a/model_examples/OpenVLA/README.md +++ b/model_examples/OpenVLA/README.md @@ -128,7 +128,7 @@ OpenVLA 是一个 70 亿参数的开源视觉 - 语言 - 动作模型，基于 O ```shell mkdir gperftools cd gperftools -wget https://github.com/gperftools/gperftools/releases/download/gperftools-2.16/gperftools-2.16.tar.gz --no-check-certificate +wget https://github.com/gperftools/gperftools/releases/download/gperftools-2.16/gperftools-2.16.tar.gz tar -zvxf gperftools-2.16.tar.gz cd gperftools-2.16 ./configure --prefix=/usr/local/lib --with-tcmalloc-pagesize=64 diff --git a/model_examples/PivotNet/README.md b/model_examples/PivotNet/README.md index 2d624f39..4ab92a44 100644 --- a/model_examples/PivotNet/README.md +++ b/model_examples/PivotNet/README.md @@ -154,9 +154,8 @@ code_path=model_examples/PivotNet - 安装毕昇编译器 - 将CANN包安装目录记为cann_root_dir，执行下列命令安装毕昇编译器。 + 将CANN包安装目录记为cann_root_dir，执行下列命令安装毕昇编译器，官网下载毕昇编译器4.1.0版本：https://www.hikunpeng.com/zh/developer/devkit/download/bishengcompiler。 ``` - wget https://kunpeng-repo.obs.cn-north-4.myhuaweicloud.com/BiSheng%20Enterprise/BiSheng%20Enterprise%20203.0.0/BiShengCompiler-4.1.0-aarch64-linux.tar.gz tar -xvf BiShengCompiler-4.1.0-aarch64-linux.tar.gz export PATH=$(pwd)/BiShengCompiler-4.1.0-aarch64-linux/bin:$PATH export LD_LIBRARY_PATH=$(pwd)/BiShengCompiler-4.1.0-aarch64-linux/lib:$LD_LIBRARY_PATH @@ -165,7 +164,7 @@ code_path=model_examples/PivotNet - 安装依赖，将安装mpdecimal依赖包的目录记为mpdecimal_install_path。 ``` - wget --no-check-certificate https://www.bytereef.org/software/mpdecimal/releases/mpdecimal-2.5.1.tar.gz + wget https://www.bytereef.org/software/mpdecimal/releases/mpdecimal-2.5.1.tar.gz tar -xvf mpdecimal-2.5.1.tar.gz cd mpdecimal-2.5.1 bash ./configure --prefix=mpdecimal_install_path @@ -232,9 +231,9 @@ code_path=model_examples/PivotNet ``` cd /path/to/pivotnet cd assets/weights -wget --no-check-certificate https://github.com/wenjie710/PivotNet/releases/download/v1.0/efficientnet-b0-355c32eb.pth . -wget --no-check-certificate https://github.com/wenjie710/PivotNet/releases/download/v1.0/resnet50-0676ba61.pth . -wget --no-check-certificate https://github.com/wenjie710/PivotNet/releases/download/v1.0/upernet_swin_tiny_patch4_window7_512x512.pth . +wget https://github.com/wenjie710/PivotNet/releases/download/v1.0/efficientnet-b0-355c32eb.pth . +wget https://github.com/wenjie710/PivotNet/releases/download/v1.0/resnet50-0676ba61.pth . +wget https://github.com/wenjie710/PivotNet/releases/download/v1.0/upernet_swin_tiny_patch4_window7_512x512.pth . ``` - 生成模型训练数据 diff --git a/model_examples/QCNet/README.md b/model_examples/QCNet/README.md index 41dd8763..4c34c10c 100644 --- a/model_examples/QCNet/README.md +++ b/model_examples/QCNet/README.md @@ -125,7 +125,7 @@ code_path=model_examples/QCNet 安装tcmalloc（适用OS: __openEuler__） ```shell mkdir gperftools && cd gperftools - wget --no-check-certificate https://github.com/gperftools/gperftools/releases/download/gperftools-2.16/gperftools-2.16.tar.gz + wget https://github.com/gperftools/gperftools/releases/download/gperftools-2.16/gperftools-2.16.tar.gz tar -zvxf gperftools-2.16.tar.gz cd gperftools-2.16 ./configure diff --git a/model_examples/Sparse4D/README.md b/model_examples/Sparse4D/README.md index 7f35f44d..c9aaa630 100644 --- a/model_examples/Sparse4D/README.md +++ b/model_examples/Sparse4D/README.md @@ -153,7 +153,7 @@ ``` mkdir gperftools cd gperftools -wget https://github.com/gperftools/gperftools/releases/download/gperftools-2.16/gperftools-2.16.tar.gz --no-check-certificate +wget https://github.com/gperftools/gperftools/releases/download/gperftools-2.16/gperftools-2.16.tar.gz tar -zvxf gperftools-2.16.tar.gz cd gperftools-2.16 ./configure --prefix=/usr/local/lib --with-tcmalloc-pagesize=64 diff --git a/model_examples/SparseDrive/README.md b/model_examples/SparseDrive/README.md index e11a1743..91ee9e1a 100644 --- a/model_examples/SparseDrive/README.md +++ b/model_examples/SparseDrive/README.md @@ -171,7 +171,7 @@ SparseDrive是一种基于稀疏化表征的端到端自动驾驶模型，基于 (option) bash test/train_8p_performance.sh --batch_node_size_stage1=64 --batch_node_size_stage2=48 --num_npu=8 # (option)若没有进行全量精度训练，可使用如下命令下载stage1的权重以测试stage2的性能 - wget https://github.com/swc-17/SparseDrive/releases/download/v1.0/sparsedrive_stage1.pth --no-check-certificate -O ckpt/sparsedrive_stage1.pth + wget https://github.com/swc-17/SparseDrive/releases/download/v1.0/sparsedrive_stage1.pth -O ckpt/sparsedrive_stage1.pth ``` ## 训练结果 diff --git a/model_examples/StreamPETR/README.md b/model_examples/StreamPETR/README.md index 27cba8b8..4b3b8867 100644 --- a/model_examples/StreamPETR/README.md +++ b/model_examples/StreamPETR/README.md @@ -229,10 +229,9 @@ cp -rf test StreamPETR 10. 编译优化 (1)python编译优化 -源码下载毕昇编译器： +参考官网下载并安装毕昇编译器4.1.0版本：https://www.hikunpeng.com/zh/developer/devkit/download/bishengcompiler： ``` ulimit -n 4096 -wget --no-check-certificate https://kunpeng-repo.obs.cn-north-4.myhuaweicloud.com/BiSheng%20Enterprise/BiSheng%20Enterprise%20203.0.0/BiShengCompiler-4.1.0-aarch64-linux.tar.gz tar -xvf BiShengCompiler-4.1.0-aarch64-linux.tar.gz export PATH=$(pwd)/BiShengCompiler-4.1.0-aarch64-linux/bin:$PATH export LD_LIBRARY_PATH=$(pwd)/BiShengCompiler-4.1.0-aarch64-linux/lib:$LD_LIBRARY_PATH @@ -241,7 +240,7 @@ source {cann_root_dir}/set_env.sh 下载所需依赖： ``` -wget --no-check-certificate https://www.bytereef.org/software/mpdecimal/releases/mpdecimal-2.5.1.tar.gz +wget https://www.bytereef.org/software/mpdecimal/releases/mpdecimal-2.5.1.tar.gz tar -xvf mpdecimal-2.5.1.tar.gz cd mpdecimal-2.5.1 bash ./configure --prefix=/path/to/install/mpdecimal -- Gitee