Atlas 200I DK A2是否支持板端编译Paddle的部署工具FastDeploy？
我这边在编译过程中直接会在编译到26%多的时候卡住，不报错也不会停止编译，查看板端CPU使用情况，依然是正在占用中。
编译日志：
(base) root@davinci-mini:/home/data/FastDeploy-develop/build# cmake .. -DWITH_ASCEND=ON -DCMAKE_INSTALL_PREFIX=fastdeploy-ascend -DENABLE_VISION=ON
-- The C compiler identification is GNU 12.1.0
-- The CXX compiler identification is GNU 12.1.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
Downloading file from https://bj.bcebos.com/fastdeploy/third_libs/patchelf-0.15.0-aarch64.tar.gz to /home/data/FastDeploy-develop/build/patchelf-0.15.0-aarch64.tar.gz ...
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Decompress file /home/data/FastDeploy-develop/build/patchelf-0.15.0-aarch64.tar.gz ...
-- Build FastDeploy Ascend C++ library on aarch64 platform.
-- Use the default OpenCV lib from: https://bj.bcebos.com/paddle2onnx/libs/opencv-linux-aarch64-3.4.14.tgz
Downloading file from https://bj.bcebos.com/paddle2onnx/libs/opencv-linux-aarch64-3.4.14.tgz to /home/data/FastDeploy-develop/build/opencv-linux-aarch64-3.4.14.tgz ...
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Decompress file /home/data/FastDeploy-develop/build/opencv-linux-aarch64-3.4.14.tgz ...
-- Found OpenCV: /home/data/FastDeploy-develop/build/third_libs/install/opencv (found version "3.4.14")
--
-- *************FastDeploy Building Summary**********
-- CMake version : 3.22.1
-- CMake command : /usr/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ standard : 11
-- C++ cuda standard :
-- C++ compiler version : 12.1.0
-- CXX flags : -Wno-format -g0 -O3
-- EXE linker flags :
-- Shared linker flags :
-- Build type :
-- Compile definitions : _GLIBCXX_USE_CXX11_ABI=1;FASTDEPLOY_LIB;CMAKE_BUILD_TYPE=Release;ENABLE_LITE_BACKEND;ENABLE_VISION
-- CMAKE_PREFIX_PATH :
-- CMAKE_INSTALL_PREFIX : /home/data/FastDeploy-develop/build/fastdeploy-ascend
-- CMAKE_MODULE_PATH :
--
-- FastDeploy version : 0.0.0
-- ENABLE_ORT_BACKEND : OFF
-- ENABLE_RKNPU2_BACKEND : OFF
-- ENABLE_HORIZON_BACKEND : OFF
-- ENABLE_SOPHGO_BACKEND : OFF
-- ENABLE_PADDLE_BACKEND : OFF
-- ENABLE_LITE_BACKEND : ON
-- ENABLE_POROS_BACKEND : OFF
-- ENABLE_TRT_BACKEND : OFF
-- ENABLE_OPENVINO_BACKEND : OFF
-- ENABLE_TVM_BACKEND : OFF
-- ENABLE_BENCHMARK : OFF
-- ENABLE_VISION : ON
-- ENABLE_TEXT : OFF
-- ENABLE_ENCRYPTION : OFF
-- ENABLE_FLYCV : OFF
-- ENABLE_CVCUDA : OFF
-- WITH_GPU : OFF
-- WITH_IPU : OFF
-- WITH_OPENCL : OFF
-- WITH_TESTING : OFF
-- WITH_ASCEND : ON
-- WITH_DIRECTML : OFF
-- WITH_TIMVX : OFF
-- WITH_KUNLUNXIN : OFF
-- WITH_CAPI : OFF
-- WITH_CSHARPAPI : OFF
-- Paddle Lite version :
-- Configuring done
-- Generating done
-- Build files have been written to: /home/data/FastDeploy-develop/build
(base) root@davinci-mini:/home/data/FastDeploy-develop/build# make -j8
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-- Downloading...
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-- Using src='https://paddle-qa.bj.bcebos.com/Paddle-Lite/DevelopDailyBuild/FastDeploy.CPP.inference_lite_lib.ubuntu.armv8.huawei_ascend_npu.CANN5.1.RC2.alpha001.tar.gz'
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src='/home/data/FastDeploy-develop/build/third_libs/paddlelite/src/FastDeploy.CPP.inference_lite_lib.ubuntu.armv8.huawei_ascend_npu.CANN5.1.RC2.alpha001.tar.gz'
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(base) root@davinci-mini:/home/data/FastDeploy-develop/build#
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已解决
Atlas 200I DK A2是否支持板端编译Paddle的部署工具FastDeploy？
我这边在编译过程中直接会在编译到26%多的时候卡住，不报错也不会停止编译，查看板端CPU使用情况，依然是正在占用中。
编译日志：
(base) root@davinci-mini:/home/data/FastDeploy-develop/build# cmake .. -DWITH_ASCEND=ON -DCMAKE_INSTALL_PREFIX=fastdeploy-ascend -DENABLE_VISION=ON
-- The C compiler identification is GNU 12.1.0
-- The CXX compiler identification is GNU 12.1.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
Downloading file from https://bj.bcebos.com/fastdeploy/third_libs/patchelf-0.15.0-aarch64.tar.gz to /home/data/FastDeploy-develop/build/patchelf-0.15.0-aarch64.tar.gz ...
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Decompress file /home/data/FastDeploy-develop/build/patchelf-0.15.0-aarch64.tar.gz ...
-- Build FastDeploy Ascend C++ library on aarch64 platform.
-- Use the default OpenCV lib from: https://bj.bcebos.com/paddle2onnx/libs/opencv-linux-aarch64-3.4.14.tgz
Downloading file from https://bj.bcebos.com/paddle2onnx/libs/opencv-linux-aarch64-3.4.14.tgz to /home/data/FastDeploy-develop/build/opencv-linux-aarch64-3.4.14.tgz ...
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Decompress file /home/data/FastDeploy-develop/build/opencv-linux-aarch64-3.4.14.tgz ...
-- Found OpenCV: /home/data/FastDeploy-develop/build/third_libs/install/opencv (found version "3.4.14")
--
-- *************FastDeploy Building Summary**********
-- CMake version : 3.22.1
-- CMake command : /usr/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ standard : 11
-- C++ cuda standard :
-- C++ compiler version : 12.1.0
-- CXX flags : -Wno-format -g0 -O3
-- EXE linker flags :
-- Shared linker flags :
-- Build type :
-- Compile definitions : _GLIBCXX_USE_CXX11_ABI=1;FASTDEPLOY_LIB;CMAKE_BUILD_TYPE=Release;ENABLE_LITE_BACKEND;ENABLE_VISION
-- CMAKE_PREFIX_PATH :
-- CMAKE_INSTALL_PREFIX : /home/data/FastDeploy-develop/build/fastdeploy-ascend
-- CMAKE_MODULE_PATH :
--
-- FastDeploy version : 0.0.0
-- ENABLE_ORT_BACKEND : OFF
-- ENABLE_RKNPU2_BACKEND : OFF
-- ENABLE_HORIZON_BACKEND : OFF
-- ENABLE_SOPHGO_BACKEND : OFF
-- ENABLE_PADDLE_BACKEND : OFF
-- ENABLE_LITE_BACKEND : ON
-- ENABLE_POROS_BACKEND : OFF
-- ENABLE_TRT_BACKEND : OFF
-- ENABLE_OPENVINO_BACKEND : OFF
-- ENABLE_TVM_BACKEND : OFF
-- ENABLE_BENCHMARK : OFF
-- ENABLE_VISION : ON
-- ENABLE_TEXT : OFF
-- ENABLE_ENCRYPTION : OFF
-- ENABLE_FLYCV : OFF
-- ENABLE_CVCUDA : OFF
-- WITH_GPU : OFF
-- WITH_IPU : OFF
-- WITH_OPENCL : OFF
-- WITH_TESTING : OFF
-- WITH_ASCEND : ON
-- WITH_DIRECTML : OFF
-- WITH_TIMVX : OFF
-- WITH_KUNLUNXIN : OFF
-- WITH_CAPI : OFF
-- WITH_CSHARPAPI : OFF
-- Paddle Lite version :
-- Configuring done
-- Generating done
-- Build files have been written to: /home/data/FastDeploy-develop/build
(base) root@davinci-mini:/home/data/FastDeploy-develop/build# make -j8
[ 0%] Creating directories for 'extern_paddlelite'
[ 0%] Building CXX object third_party/yaml-cpp/CMakeFiles/yaml-cpp.dir/src/binary.cpp.o
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[ 3%] Building CXX object third_party/yaml-cpp/CMakeFiles/yaml-cpp.dir/src/directives.cpp.o
[ 3%] Building CXX object third_party/yaml-cpp/CMakeFiles/yaml-cpp.dir/src/emit.cpp.o
[ 3%] Performing download step (download, verify and extract) for 'extern_paddlelite'
-- Downloading...
dst='/home/data/FastDeploy-develop/build/third_libs/paddlelite/src/FastDeploy.CPP.inference_lite_lib.ubuntu.armv8.huawei_ascend_npu.CANN5.1.RC2.alpha001.tar.gz'
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