TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
./build.sh: line 31: die: command not found
/public/home/liucong8560/MIGraphx/TNN-master/tools/onnx2tnn/onnx-converter
-- The C compiler identification is GNU 7.3.1
-- The CXX compiler identification is GNU 7.3.1
-- Check for working C compiler: /opt/rh/devtoolset-7/root/usr/bin/cc
-- Check for working C compiler: /opt/rh/devtoolset-7/root/usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /opt/rh/devtoolset-7/root/usr/bin/c++
-- Check for working CXX compiler: /opt/rh/devtoolset-7/root/usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- The ASM compiler identification is GNU
-- Found assembler: /opt/rh/devtoolset-7/root/usr/bin/cc
/public/home/liucong8560/MIGraphx/TNN-master
/public/home/liucong8560/MIGraphx/TNN-master
-- >>>>>>>>>>>>>
-- TNN BUILD INFO:
-- System: Linux
-- Processor: x86_64
-- Cpu: ON
-- X86: OFF
-- Arm: OFF
-- Arm82: OFF
-- Metal: OFF
-- OpenCL: OFF
-- CUDA: OFF
-- DSP: OFF
-- Atlas: OFF
-- TensorRT: OFF
-- AppleNPU: OFF
-- HuaweiNPU: OFF
-- RKNPU: OFF
-- Jetson Nano: OFF
-- OpenVINO: OFF
-- OpenMP: OFF
-- TEST: OFF
-- --Unit Test: OFF
-- Quantization: OFF
-- ModelCheck: OFF
-- DEBUG: ON
-- PROFILE: OFF
-- BENCHMARK: OFF
-- BENCHMARK Layer: OFF
-- Model Converter: OFF
-- ONNX2TNN Converter: ON
-- TNN2MEM: OFF
-- BENCHMARK Test Lib: OFF
-- Dynamic Range Quantization: OFF
-- SHARING_MEM_WITH_OPENGL:
CMake Error at /opt/cmake/share/cmake-3.16/Modules/FindPackageHandleStandardArgs.cmake:146 (message):
Could NOT find Protobuf (missing: Protobuf_INCLUDE_DIR)
Call Stack (most recent call first):
/opt/cmake/share/cmake-3.16/Modules/FindPackageHandleStandardArgs.cmake:393 (_FPHSA_FAILURE_MESSAGE)
/opt/cmake/share/cmake-3.16/Modules/FindProtobuf.cmake:624 (FIND_PACKAGE_HANDLE_STANDARD_ARGS)
tools/onnx2tnn/onnx-converter/CMakeLists.txt:4 (find_package)
-- Configuring incomplete, errors occurred!
See also "/public/home/liucong8560/MIGraphx/TNN-master/tools/onnx2tnn/onnx-converter/build/CMakeFiles/CMakeOutput.log".
See also "/public/home/liucong8560/MIGraphx/TNN-master/tools/onnx2tnn/onnx-converter/build/CMakeFiles/CMakeError.log".
make: ** No targets specified and no makefile found. Stop.
ls: cannot access tools/onnx2tnn/onnx-converter/onnx2tnn.so: No such file or directory
/public/home/liucong8560/MIGraphx/TNN-master/tools/onnx2tnn/onnx-converter/build
cp: missing destination file operand after ‘../../onnx-converter’
Try 'cp --help' for more information.
Compiled onnx2tnn successfully !
darrenyao87
commented
1 year ago
./build.sh: line 31: die: command not found /public/home/liucong8560/MIGraphx/TNN-master/tools/onnx2tnn/onnx-converter -- The C compiler identification is GNU 7.3.1 -- The CXX compiler identification is GNU 7.3.1 -- Check for working C compiler: /opt/rh/devtoolset-7/root/usr/bin/cc -- Check for working C compiler: /opt/rh/devtoolset-7/root/usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /opt/rh/devtoolset-7/root/usr/bin/c++ -- Check for working CXX compiler: /opt/rh/devtoolset-7/root/usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- The ASM compiler identification is GNU -- Found assembler: /opt/rh/devtoolset-7/root/usr/bin/cc /public/home/liucong8560/MIGraphx/TNN-master /public/home/liucong8560/MIGraphx/TNN-master -- >>>>>>>>>>>>> -- TNN BUILD INFO: -- System: Linux -- Processor: x86_64 -- Cpu: ON -- X86: OFF -- Arm: OFF -- Arm82: OFF -- Metal: OFF -- OpenCL: OFF -- CUDA: OFF -- DSP: OFF -- Atlas: OFF -- TensorRT: OFF -- AppleNPU: OFF -- HuaweiNPU: OFF -- RKNPU: OFF -- Jetson Nano: OFF -- OpenVINO: OFF -- OpenMP: OFF -- TEST: OFF -- --Unit Test: OFF -- Quantization: OFF -- ModelCheck: OFF -- DEBUG: ON -- PROFILE: OFF -- BENCHMARK: OFF -- BENCHMARK Layer: OFF -- Model Converter: OFF -- ONNX2TNN Converter: ON -- TNN2MEM: OFF -- BENCHMARK Test Lib: OFF -- Dynamic Range Quantization: OFF -- SHARING_MEM_WITH_OPENGL: CMake Error at /opt/cmake/share/cmake-3.16/Modules/FindPackageHandleStandardArgs.cmake:146 (message): Could NOT find Protobuf (missing: Protobuf_INCLUDE_DIR) Call Stack (most recent call first): /opt/cmake/share/cmake-3.16/Modules/FindPackageHandleStandardArgs.cmake:393 (_FPHSA_FAILURE_MESSAGE) /opt/cmake/share/cmake-3.16/Modules/FindProtobuf.cmake:624 (FIND_PACKAGE_HANDLE_STANDARD_ARGS) tools/onnx2tnn/onnx-converter/CMakeLists.txt:4 (find_package)
-- Configuring incomplete, errors occurred! See also "/public/home/liucong8560/MIGraphx/TNN-master/tools/onnx2tnn/onnx-converter/build/CMakeFiles/CMakeOutput.log". See also "/public/home/liucong8560/MIGraphx/TNN-master/tools/onnx2tnn/onnx-converter/build/CMakeFiles/CMakeError.log". make: ** No targets specified and no makefile found. Stop. ls: cannot access tools/onnx2tnn/onnx-converter/onnx2tnn.so: No such file or directory /public/home/liucong8560/MIGraphx/TNN-master/tools/onnx2tnn/onnx-converter/build cp: missing destination file operand after ‘../../onnx-converter’ Try 'cp --help' for more information. Compiled onnx2tnn successfully !
显示已经编译成功，但是在转换模型的时候，提示没有编译！
python onnx2tnn.py ./vit_base.onnx -version=v1.0 -optimize=1 -half=0 -o ./ -input_shape input:1,3,224,224
You should compile onnx2tnn first !!! You can find more compilation details in/doc/cn/user/convert.md