You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am trying to run this on Google Colab, however cmake returns this error:
-- CUDA Architecture: -arch=sm_75
-- CUDA Version: 11.1
-- CUDA Path: /usr/local/cuda
-- CUDA Libararies: /usr/local/cuda/lib64/libcudart_static.a;Threads::Threads;dl;/usr/lib/x86_64-linux-gnu/librt.so
-- CUDA Performance Primitives: /usr/local/cuda/lib64/libnppc.so;/usr/local/cuda/lib64/libnppial.so;/usr/local/cuda/lib64/libnppicc.so;;/usr/local/cuda/lib64/libnppidei.so;/usr/local/cuda/lib64/libnppif.so;/usr/local/cuda/lib64/libnppig.so;/usr/local/cuda/lib64/libnppim.so;/usr/local/cuda/lib64/libnppist.so;/usr/local/cuda/lib64/libnppisu.so;/usr/local/cuda/lib64/libnppitc.so;/usr/local/cuda/lib64/libnpps.so
-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so
-- Found CUDNN include: /usr/include
-- Found NVINFER: /usr/lib/x86_64-linux-gnu/libnvinfer.so
-- Found NVINFER include: /usr/include/x86_64-linux-gnu
Eigen DIR: /usr/include/eigen3
install dir:/usr/local
-- Configuring done
-- Generating done
-- Build files have been written to: /content/tkdnn/build
Consolidate compiler generated dependencies of target kernels
[ 21%] Built target kernels
Consolidate compiler generated dependencies of target tkDNN
[ 21%] Building CXX object CMakeFiles/tkDNN.dir/src/Int8BatchStream.cpp.o
/content/tkdnn/src/Int8BatchStream.cpp:4:10: fatal error: opencv2/dnn/dnn.hpp: No such file or directory
#include <opencv2/dnn/dnn.hpp>
^~~~~~~~~~~~~~~~~~~~~
compilation terminated.
CMakeFiles/tkDNN.dir/build.make:215: recipe for target 'CMakeFiles/tkDNN.dir/src/Int8BatchStream.cpp.o' failed
make[2]: *** [CMakeFiles/tkDNN.dir/src/Int8BatchStream.cpp.o] Error 1
CMakeFiles/Makefile2:214: recipe for target 'CMakeFiles/tkDNN.dir/all' failed
make[1]: *** [CMakeFiles/tkDNN.dir/all] Error 2
Makefile:135: recipe for target 'all' failed
make: *** [all] Error 2
I have installed tensorrt using pip:
!pip install --upgrade --index-url https://pypi.ngc.nvidia.com nvidia-tensorrt==8.2.5.1
and it seems to install correctly:
import tensorrt as trt
trt.version
returns: 8.2.5.1
Could you provide a guide on running this on Google Colab? Seems like I am missing something in installation.
The text was updated successfully, but these errors were encountered:
tkDNN require opencv compled with dnn module, but is only for that Int8batchStream file.
If you cant install opencv with dnn module just comment these lines:
I am trying to run this on Google Colab, however cmake returns this error:
-- CUDA Architecture: -arch=sm_75
-- CUDA Version: 11.1
-- CUDA Path: /usr/local/cuda
-- CUDA Libararies: /usr/local/cuda/lib64/libcudart_static.a;Threads::Threads;dl;/usr/lib/x86_64-linux-gnu/librt.so
-- CUDA Performance Primitives: /usr/local/cuda/lib64/libnppc.so;/usr/local/cuda/lib64/libnppial.so;/usr/local/cuda/lib64/libnppicc.so;;/usr/local/cuda/lib64/libnppidei.so;/usr/local/cuda/lib64/libnppif.so;/usr/local/cuda/lib64/libnppig.so;/usr/local/cuda/lib64/libnppim.so;/usr/local/cuda/lib64/libnppist.so;/usr/local/cuda/lib64/libnppisu.so;/usr/local/cuda/lib64/libnppitc.so;/usr/local/cuda/lib64/libnpps.so
-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so
-- Found CUDNN include: /usr/include
-- Found NVINFER: /usr/lib/x86_64-linux-gnu/libnvinfer.so
-- Found NVINFER include: /usr/include/x86_64-linux-gnu
Eigen DIR: /usr/include/eigen3
install dir:/usr/local
-- Configuring done
-- Generating done
-- Build files have been written to: /content/tkdnn/build
Consolidate compiler generated dependencies of target kernels
[ 21%] Built target kernels
Consolidate compiler generated dependencies of target tkDNN
[ 21%] Building CXX object CMakeFiles/tkDNN.dir/src/Int8BatchStream.cpp.o
/content/tkdnn/src/Int8BatchStream.cpp:4:10: fatal error: opencv2/dnn/dnn.hpp: No such file or directory
#include <opencv2/dnn/dnn.hpp>
^~~~~~~~~~~~~~~~~~~~~
compilation terminated.
CMakeFiles/tkDNN.dir/build.make:215: recipe for target 'CMakeFiles/tkDNN.dir/src/Int8BatchStream.cpp.o' failed
make[2]: *** [CMakeFiles/tkDNN.dir/src/Int8BatchStream.cpp.o] Error 1
CMakeFiles/Makefile2:214: recipe for target 'CMakeFiles/tkDNN.dir/all' failed
make[1]: *** [CMakeFiles/tkDNN.dir/all] Error 2
Makefile:135: recipe for target 'all' failed
make: *** [all] Error 2
I have installed tensorrt using pip:
!pip install --upgrade --index-url https://pypi.ngc.nvidia.com nvidia-tensorrt==8.2.5.1
and it seems to install correctly:
import tensorrt as trt
trt.version
returns: 8.2.5.1
Could you provide a guide on running this on Google Colab? Seems like I am missing something in installation.
The text was updated successfully, but these errors were encountered: