diff --git a/开发及常用文档/开发者指南/本地编译Pytorch.md b/开发及常用文档/开发者指南/本地编译Pytorch.md
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+### 本地编译Pytorch
+### **获取源代码**
+链接：https://pan.baidu.com/s/1-kaWPzqAb6g7l4Bdhh-KPw?pwd=843d 
+
+提取码：843d 
+
+源码包为原始pytorch仓库的完整克隆，克隆日期为2月20日，需要最新版本的请自行拉取
+### **修改源代码**
+##### **荔枝派和算能开发板**
+对于荔枝派和算能的硬件环境，需要将源代码目录中的  pytorch/third_party/cpuinfo目录替换为算能的cpuinfo目录，具体如下
+```
+cd pytorch/third_party
+# 删除原有cpuinfo目录
+sudo rm -r cpuinfo 
+# 克隆算能的cpuinfo目录
+sudo git clone https://github.com/sophgo/cpuinfo.git
+
+```
+##### **其他硬件环境**
+对于其他硬件环境，可以暂时不替换cpuinfo目录，建议替换
+##### **修改代码文件**
+**1.aten/src/ATen/CMakeLists.txt**
+
+将语句：
+```
+if(NOT MSVC AND NOT EMSCRIPTEN AND NOT INTERN_BUILD_MOBILE)
+
+```
+替换为：
+```
+if(FALSE)
+```
+**2.caffe2/CMakeLists.txt**
+
+将语句：
+```
+target_link_libraries(${test_name}_${CPU_CAPABILITY} c10 sleef gtest_main)
+```
+
+替换为：
+```
+target_link_libraries(${test_name}_${CPU_CAPABILITY} c10 gtest_main)
+```
+**3.test/cpp/api/CMakeLists.txt**
+
+在语句：
+```
+add_executable(test_api ${TORCH_API_TEST_SOURCES})
+```
+后添加：
+```
+target_compile_options(test_api PUBLIC -Wno-nonnull)
+```
+### **编译工具链安装**
+```
+apt install libopenblas-dev libblas-dev m4 cmake cython3 ccache
+
+# 若执行过程中有以下报错，则杀死10198进程:Waiting for cache lock: Could not get lock /var/lib/dpkg/lock-frontend. It is held by process 10198 (apt)
+kill -9 10198
+
+# 安装过程中，若发现libopenblas-dev无法正常安装，则跳过其直接安装libblas-dev m4 cmake cython3 ccache
+apt install libblas-dev m4 cmake cython3 ccache
+
+# libopenblas-dev无法安装的替代方案：手动安装OpenBLAS
+git clone https://github.com/xianyi/OpenBLAS.git
+cd OpenBLAS
+make -j8
+sudo make PREFIX=/usr/local/OpenBLAS install
+# 进入/etc，用vim打开profile
+[在最后一行添加]: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/OpenBLAS/lib/
+source /etc/profile
+
+```
+### Python环境配置
+```
+apt install python3
+apt install python-is-python3 python-dev-is-python3
+apt autoremove
+# 下载好python3后发现没有pip、yaml等工具
+apt install python3-pip
+pip install pyyaml
+
+```
+##### 编译前安装Numpy
+```
+python3 -m pip install numpy --upgrade -i    
+https://pypi.tuna.tsinghua.edu.cn/simple
+```
+### **环境变量配置**
+```
+export USE_CUDA=0 #不编译CUDA版本
+export USE_DISTRIBUTED=0 #不支持分布式
+export USE_MKLDNN=0 #不支持MKLDNN
+export MAX_J0BS=16 #最大线程数 ，按需填写
+```
+### **编译pytorch前注意事项**
+
+● 一定要确认完整克隆好，如果对自己的网络没有信心，请直接从百度网盘下载源码包，注意源码包为原始pytorch仓库的完整克隆，克隆日期为2月20日，需要最新版本的请自行拉取
+
+● 确认gcc版本
+
+```
+gcc -v
+```
+
+gcc13以下的版本会遇到undefined reference to `__atomic_exchange_1'问题，可以通过patchelf解决，或者通过patch CMakefile文件的方式解决。
+```
+# path为存放libtorch_cpu.so的路径
+patchelf --add-needed libatomic.so.1 /path/libtorch_cpu.so
+# 若提示无patchelf命令，则执行下列语句
+apt install patchelf
+```
+
+patch内容详情：
+```
+From 40bae41e910c2aa0cc4d79457199152a21b99add Mon Sep 17 00:00:00 2001
+From: Bits <bigbits@hackx.cc>
+Date: Thu, 22 Feb 2024 10:09:15 +0800
+Subject: [PATCH] =?UTF-8?q?GCC13=E4=BB=A5=E4=B8=8B=E7=89=88=E6=9C=AC?=
+ =?UTF-8?q?=E7=BC=96=E8=AF=91=E9=9C=80=E8=A6=81=E9=93=BE=E6=8E=A5atomic?=
+ =?UTF-8?q?=E5=BA=93?=
+MIME-Version: 1.0
+Content-Type: text/plain; charset=UTF-8
+Content-Transfer-Encoding: 8bit
+
+---
+ caffe2/CMakeLists.txt              | 6 +++---
+ test/cpp/api/CMakeLists.txt        | 4 ++--
+ test/cpp/jit/CMakeLists.txt        | 2 +-
+ test/cpp/lazy/CMakeLists.txt       | 2 +-
+ test/cpp/tensorexpr/CMakeLists.txt | 4 ++--
+ test/edge/CMakeLists.txt           | 2 +-
+ torch/lib/libshm/CMakeLists.txt    | 2 +-
+ 7 files changed, 11 insertions(+), 11 deletions(-)
+
+diff --git a/caffe2/CMakeLists.txt b/caffe2/CMakeLists.txt
+index 17582104933..ebfd4c1c10e 100644
+--- a/caffe2/CMakeLists.txt
++++ b/caffe2/CMakeLists.txt
+@@ -1425,7 +1425,7 @@ if($ENV{TH_BINARY_BUILD})
+   endif()
+ endif()
+ 
+-target_link_libraries(torch_cpu PUBLIC c10)
++target_link_libraries(torch_cpu PUBLIC c10 atomic)
+ target_link_libraries(torch_cpu PUBLIC ${Caffe2_PUBLIC_DEPENDENCY_LIBS})
+ target_link_libraries(torch_cpu PRIVATE ${Caffe2_DEPENDENCY_LIBS})
+ target_link_libraries(torch_cpu PRIVATE ${Caffe2_DEPENDENCY_WHOLE_LINK_LIBS})
+@@ -1750,7 +1750,7 @@ if(BUILD_TEST)
+         if(NOT MSVC)
+           add_executable(${test_name}_${CPU_CAPABILITY} "${test_src}" ../aten/src/ATen/native/quantized/AffineQuantizerBase.cpp)
+           # TODO: Get rid of c10 dependency (which is only needed for the implementation of AT_ERROR)
+-          target_link_libraries(${test_name}_${CPU_CAPABILITY} c10 sleef gtest_main)
++          target_link_libraries(${test_name}_${CPU_CAPABILITY} c10 sleef gtest_main atomic)
+           if(USE_FBGEMM)
+             target_link_libraries(${test_name}_${CPU_CAPABILITY} fbgemm)
+           endif()
+@@ -1781,7 +1781,7 @@ if(BUILD_TEST)
+   foreach(test_src ${Caffe2_CPU_TEST_SRCS})
+     get_filename_component(test_name ${test_src} NAME_WE)
+     add_executable(${test_name} "${test_src}")
+-    target_link_libraries(${test_name} torch_library gtest_main)
++    target_link_libraries(${test_name} torch_library gtest_main atomic)
+     target_include_directories(${test_name} PRIVATE $<INSTALL_INTERFACE:include>)
+     target_include_directories(${test_name} PRIVATE $<BUILD_INTERFACE:${CMAKE_BINARY_DIR}/include>)
+     target_include_directories(${test_name} PRIVATE ${Caffe2_CPU_INCLUDE})
+diff --git a/test/cpp/api/CMakeLists.txt b/test/cpp/api/CMakeLists.txt
+index 42b67d8cb25..3be0b803828 100644
+--- a/test/cpp/api/CMakeLists.txt
++++ b/test/cpp/api/CMakeLists.txt
+@@ -49,7 +49,7 @@ endif()
+ 
+ add_executable(test_api ${TORCH_API_TEST_SOURCES})
+ target_include_directories(test_api PRIVATE ${ATen_CPU_INCLUDE})
+-target_link_libraries(test_api PRIVATE torch gtest)
++target_link_libraries(test_api PRIVATE torch gtest atomic)
+ if(NOT MSVC)
+   target_compile_options_if_supported(test_api -Wno-unused-variable)
+ endif()
+@@ -79,4 +79,4 @@ endif()
+ 
+ add_executable(parallel_benchmark ${TORCH_API_TEST_DIR}/parallel_benchmark.cpp)
+ target_include_directories(parallel_benchmark PRIVATE ${ATen_CPU_INCLUDE})
+-target_link_libraries(parallel_benchmark PRIVATE torch)
++target_link_libraries(parallel_benchmark PRIVATE torch atomic)
+diff --git a/test/cpp/jit/CMakeLists.txt b/test/cpp/jit/CMakeLists.txt
+index 2d88d3f7172..17a268b89a0 100644
+--- a/test/cpp/jit/CMakeLists.txt
++++ b/test/cpp/jit/CMakeLists.txt
+@@ -107,7 +107,7 @@ if(USE_ASAN)
+ endif()
+ 
+ target_link_libraries(
+-  test_jit PRIVATE flatbuffers)
++  test_jit PRIVATE flatbuffers atomic)
+ 
+ 
+ # TODO temporary until we can delete the old gtest polyfills.
+diff --git a/test/cpp/lazy/CMakeLists.txt b/test/cpp/lazy/CMakeLists.txt
+index be37b47ac9b..aef985e6ea7 100644
+--- a/test/cpp/lazy/CMakeLists.txt
++++ b/test/cpp/lazy/CMakeLists.txt
+@@ -27,7 +27,7 @@ add_executable(test_lazy
+ # TODO temporary until we can delete the old gtest polyfills.
+ target_compile_definitions(test_lazy PRIVATE USE_GTEST)
+ 
+-set(LAZY_TEST_DEPENDENCIES torch gtest)
++set(LAZY_TEST_DEPENDENCIES torch gtest atomic)
+ 
+ target_link_libraries(test_lazy PRIVATE ${LAZY_TEST_DEPENDENCIES})
+ target_include_directories(test_lazy PRIVATE ${ATen_CPU_INCLUDE})
+diff --git a/test/cpp/tensorexpr/CMakeLists.txt b/test/cpp/tensorexpr/CMakeLists.txt
+index 012471d0e58..5b0a4c540f3 100644
+--- a/test/cpp/tensorexpr/CMakeLists.txt
++++ b/test/cpp/tensorexpr/CMakeLists.txt
+@@ -39,7 +39,7 @@ add_executable(test_tensorexpr
+   ${TENSOREXPR_TEST_ROOT}/padded_buffer.cpp
+   ${TENSOREXPR_TEST_SRCS})
+ 
+-target_link_libraries(test_tensorexpr PRIVATE torch gtest)
++target_link_libraries(test_tensorexpr PRIVATE torch gtest atomic)
+ target_include_directories(test_tensorexpr PRIVATE ${ATen_CPU_INCLUDE})
+ target_compile_definitions(test_tensorexpr PRIVATE USE_GTEST)
+ if(NOT MSVC)
+@@ -47,7 +47,7 @@ if(NOT MSVC)
+ endif()
+ 
+ add_executable(tutorial_tensorexpr ${TENSOREXPR_TEST_ROOT}/tutorial.cpp)
+-target_link_libraries(tutorial_tensorexpr PRIVATE torch)
++target_link_libraries(tutorial_tensorexpr PRIVATE torch atomic)
+ target_include_directories(tutorial_tensorexpr PRIVATE ${ATen_CPU_INCLUDE})
+ 
+ # The test case depends on the xnnpack header which in turn depends on the
+diff --git a/test/edge/CMakeLists.txt b/test/edge/CMakeLists.txt
+index 2f29f27e0b3..311062891cf 100644
+--- a/test/edge/CMakeLists.txt
++++ b/test/edge/CMakeLists.txt
+@@ -58,7 +58,7 @@ add_executable(test_edge_op_registration
+ 
+ target_compile_definitions(test_edge_op_registration PRIVATE USE_GTEST)
+ 
+-set(TEST_DEPENDENCIES gtest unbox_lib)
++set(TEST_DEPENDENCIES gtest unbox_lib atomic)
+ 
+ target_link_libraries(test_edge_op_registration PRIVATE
+   ${TEST_DEPENDENCIES}
+diff --git a/torch/lib/libshm/CMakeLists.txt b/torch/lib/libshm/CMakeLists.txt
+index a3b41d0a0b0..a1db648342c 100644
+--- a/torch/lib/libshm/CMakeLists.txt
++++ b/torch/lib/libshm/CMakeLists.txt
+@@ -60,7 +60,7 @@ if(UNIX AND NOT APPLE)
+ endif()
+ 
+ add_executable(torch_shm_manager manager.cpp)
+-target_link_libraries(torch_shm_manager PRIVATE shm c10)
++target_link_libraries(torch_shm_manager PRIVATE shm c10 atomic)
+ set_target_properties(torch_shm_manager PROPERTIES
+   INSTALL_RPATH "${_rpath_portable_origin}/../lib")
+ 
+-- 
+2.34.1
+
+
+
+```
+gcc13版本及以上没有此问题，但是可能出现软件包依赖问题，通过
+```
+export BUILD_TEST=0
+```
+可以解决。
+
+● 确认安装ninja，如果系统不能执行ninja，请apt安装ninja-build包或者从源码编译安装。
+
+● 编译前安装numpy
+
+```
+python3 -m pip install numpy --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple
+
+```
+● 构建指令可以用`python setup.py bdist_wheel` 替代 `python setup.py develop --cmake`可以省去sudo管理员权限，构建完成后将会在dist目录下生成whl安装包。
+
+● 编译开始时显示的Failed不影响编译结果。缺少apt_pkg不影响编译。
+
+###  **开始编译**
+```
+sudo python3 setup.py develop --cmake
+
+```
+###  **编译及引用过程可能会遇到的问题**
+**1.Could not find any of CMakeLists.txt, Makefile, setup.py, LICENSE, LICENSE.md, LICENSE.txt in /root/xxx/pytorch/third_party/pthreadpool**
+
+问题来源：编译过程
+
+问题分析：由于网络的问题，clone仓库时有部分包未成功下载，导致文件夹为空
+
+解决方法：重新下载对应包
+```
+cd third_party
+rm -rf pthreadpool
+sudo git clone pthreadpool的url
+```
+**2./usr/bin/ld: /root/xxx/pytorch/build/lib/libtorch_cpu.so: undefined reference to `__atomic_exchange_1’   collect2: error: ld returned 1 exit status**
+
+ 问题来源：编译过程
+
+ 问题分析：对__atomic_exchange_1的未定义引用
+
+解决方法：使用patchelf添加需要的动态库
+
+```
+# path为存放libtorch_cpu.so的路径
+patchelf --add-needed libatomic.so.1 /path/libtorch_cpu.so
+# 若提示无patchelf命令，则执行下列语句
+apt install patchelf
+```
+**3.Error in cpuinfo: processor architecture is not supported in cpuinfo**
+
+问题来源：编译完成后，使用python时“import torch”报错
+
+问题分析：git clone时下载的cpuinfo不支持Risc-V架构
+
+解决方法：删除当前存在的cpuinfo并重新下载最新支持Risc-V架构的cpuinfo
+cpuinfo路径为pytorch/third_party/cpuinfo，因此先进入pytorch/third_party目录
+ 在终端执行以下指令
+ 
+```
+rm -rf cpuinfo
+git clone https://github.com/sophgo/cpuinfo.git
+# clone完成后需要重新编译
+sudo python3 setup.py develop --cmake
+
+```
+### 原文链接：[https://blog.csdn.net/m0_49267873/article/details/135670989](https://blog.csdn.net/m0_49267873/article/details/135670989)
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