Please provide the following info (tick the boxes after creating this topic):
Software Version
DRIVE OS 6.0.10.0
DRIVE OS 6.0.8.1
DRIVE OS 6.0.6
DRIVE OS 6.0.5
DRIVE OS 6.0.4 (rev. 1)
DRIVE OS 6.0.4 SDK
other
Target Operating System
Linux
QNX
other
Hardware Platform
DRIVE AGX Orin Developer Kit (940-63710-0010-300)
DRIVE AGX Orin Developer Kit (940-63710-0010-200)
DRIVE AGX Orin Developer Kit (940-63710-0010-100)
DRIVE AGX Orin Developer Kit (940-63710-0010-D00)
DRIVE AGX Orin Developer Kit (940-63710-0010-C00)
DRIVE AGX Orin Developer Kit (not sure its number)
other, no Dev Kit
SDK Manager Version
2.1.0
other, none
Host Machine Version
native Ubuntu Linux 20.04 Host installed with SDK Manager
native Ubuntu Linux 20.04 Host installed with DRIVE OS Docker Containers
native Ubuntu Linux 18.04 Host installed with DRIVE OS Docker Containers
other
Issue Description
I am trying out cuda and tensorrt examples as described here. The cpp examples work perfectly fine for on the Drive plattform.
Now I try to run the python examples e.g. this one/usr/src/tensorrt/samples/python/yolov3_onnx. When following the instructions in the Readme I have to execute pip3 install -r requirements.txt which installs onnx==1.9.0. I did this directly on the drive and got the following error:
Error String
53 | template<typename> class auto_ptr;
| ^~~~~~~~
bpl-subset/bpl_subset/libs/thread/src/pthread/thread.cpp: In member function ‘bool pycudaboost::thread::do_try_join_until(const timespec&)’:
bpl-subset/bpl_subset/libs/thread/src/pthread/thread.cpp:330:75: warning: control reaches end of non-void function [-Wreturn-type]
330 | detail::thread_data_ptr const local_thread_info=(get_thread_info)();
| ^
aarch64-linux-gnu-g++ -pthread -Wno-unused-result -Wsign-compare -fwrapv -Wall -O3 -DNDEBUG -fPIC -DBOOST_ALL_NO_LIB=1 -DBOOST_THREAD_BUILD_DLL=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -DBOOST_PYTHON_SOURCE=1 -Dboost=pycudaboost -DBOOST_THREAD_DONT_USE_CHRONO=1 -DPYGPU_PACKAGE=pycuda -DPYGPU_PYCUDA=1 -DHAVE_CURAND=1 -Isrc/cpp -Ibpl-subset/bpl_subset -I/tmp/pip-build-env-yp2xx8d6/overlay/lib/python3.8/site-packages/numpy/core/include -I/usr/include/python3.8 -c src/cpp/bitlog.cpp -o build/temp.linux-aarch64-cpython-38/src/cpp/bitlog.o
aarch64-linux-gnu-g++ -pthread -Wno-unused-result -Wsign-compare -fwrapv -Wall -O3 -DNDEBUG -fPIC -DBOOST_ALL_NO_LIB=1 -DBOOST_THREAD_BUILD_DLL=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -DBOOST_PYTHON_SOURCE=1 -Dboost=pycudaboost -DBOOST_THREAD_DONT_USE_CHRONO=1 -DPYGPU_PACKAGE=pycuda -DPYGPU_PYCUDA=1 -DHAVE_CURAND=1 -Isrc/cpp -Ibpl-subset/bpl_subset -I/tmp/pip-build-env-yp2xx8d6/overlay/lib/python3.8/site-packages/numpy/core/include -I/usr/include/python3.8 -c src/cpp/cuda.cpp -o build/temp.linux-aarch64-cpython-38/src/cpp/cuda.o
In file included from src/cpp/cuda.cpp:4:
src/cpp/cuda.hpp:14:10: fatal error: cuda.h: No such file or directory
14 | #include <cuda.h>
| ^~~~~~~~
compilation terminated.
/tmp/pip-build-env-yp2xx8d6/overlay/lib/python3.8/site-packages/setuptools/command/build_py.py:220: _Warning: Package 'pycuda.cuda' is absent from the `packages` configuration.
!!
********************************************************************************
############################
# Package would be ignored #
############################
Python recognizes 'pycuda.cuda' as an importable package[^1],
but it is absent from setuptools' `packages` configuration.
This leads to an ambiguous overall configuration. If you want to distribute this
package, please make sure that 'pycuda.cuda' is explicitly added
to the `packages` configuration field.
Alternatively, you can also rely on setuptools' discovery methods
(for example by using `find_namespace_packages(...)`/`find_namespace:`
instead of `find_packages(...)`/`find:`).
You can read more about "package discovery" on setuptools documentation page:
- https://setuptools.pypa.io/en/latest/userguide/package_discovery.html
If you don't want 'pycuda.cuda' to be distributed and are
already explicitly excluding 'pycuda.cuda' via
`find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
you can try to use `exclude_package_data`, or `include-package-data=False` in
combination with a more fine grained `package-data` configuration.
You can read more about "package data files" on setuptools documentation page:
- https://setuptools.pypa.io/en/latest/userguide/datafiles.html
[^1]: For Python, any directory (with suitable naming) can be imported,
even if it does not contain any `.py` files.
On the other hand, currently there is no concept of package data
directory, all directories are treated like packages.
********************************************************************************
!!
check.warn(importable)
error: command '/usr/bin/aarch64-linux-gnu-g++' failed with exit code 1
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for pycuda
Failed to build onnx pycuda
ERROR: Failed to build installable wheels for some pyproject.toml based projects (onnx, pycuda)
The is probably because on the drive nvcc is missing: nvcc -version: nvcc::command not found.
So how should I install these requirements?
How do I get these python examples running under drive OS 6.0.4?
Best,
G