Cannot compile tensorrtbuffer

[wyyaa123]

System: Ubuntu 20.04 AMD64
CUDA: 12.1 (runtime file)
CUDNN: 9.0.0 (tar.xz)
TensorRT: 8.6.1.6 (tar.xz)
CMakeList.txt:

cmake_minimum_required(VERSION 3.6)
project(tensorrtbuffer)

set(CMAKE_CXX_STANDARD 17)

if(POLICY CMP0146)
    cmake_policy(SET CMP0146 OLD)
endif()

# tensorrt path (I added)
include_directories(/usr/local/TensorRT-8.6.1.6/include)
include_directories(/usr/local/TensorRT-8.6.1.6/samples/common)
link_directories(/usr/local/TensorRT-8.6.1.6/targets/x86_64-linux-gnu/lib)

find_package(CUDA REQUIRED)
include_directories("${CUDA_INCLUDE_DIRS}")

include_directories(
    ${PROJECT_SOURCE_DIR}/include
)

set(LIBRARY_OUTPUT_PATH ${PROJECT_SOURCE_DIR}/lib)

add_library(tensorrtbuffer SHARED src/logger.cpp src/sample_options.cpp src/sample_utils.cpp)

System Envirment Check:
1.

$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Feb__7_19:32:13_PST_2023
Cuda compilation tools, release 12.1, V12.1.66
Build cuda_12.1.r12.1/compiler.32415258_0

2.cudnn

$ cat /usr/local/cuda/include/cudnn_version.h | grep CUDNN_
#ifndef CUDNN_VERSION_H_
#define CUDNN_VERSION_H_
#define CUDNN_MAJOR 9
#define CUDNN_MINOR 0
#define CUDNN_PATCHLEVEL 0
#define CUDNN_VERSION (CUDNN_MAJOR * 10000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
#define CUDNN_MAX_SM_MAJOR_NUMBER 9
#define CUDNN_MAX_SM_MINOR_NUMBER 0
#define CUDNN_MAX_DEVICE_VERSION (CUDNN_MAX_SM_MAJOR_NUMBER * 100 + CUDNN_MAX_SM_MINOR_NUMBER * 10)
#endif /* CUDNN_VERSION_H */

3.TensorRT
I download the Tensorrt 8.6.1.6 archive file from nvidia website, and unzip it.

Command I used:

cp ~/airslam_ws/src/AirSLAM/3rdparty/tensorrtbuffer ~/
cd ~/tensorrtbuffer/
mkdir build
cd build
cmake ..
make -j4

Some error messages:

1.
/home/wyyaa123/tensorrtbuffer/include/error_recorder.h: In member function ‘virtual void TensorRTErrorRecorder::clear()’:
/home/wyyaa123/tensorrtbuffer/include/error_recorder.h:78:13: error: ‘tensorrt_log’ has not been declared
   78 |             tensorrt_log::gLogFatal << "Internal Error: " << e.what() << std::endl;

2.
In file included from /home/wyyaa123/tensorrtbuffer/src/logger.cpp:18:
/usr/local/TensorRT-8.6.1.6/samples/common/logger.h:24:28: note: previous declaration as ‘SampleErrorRecorder gRecorder’
   24 | extern SampleErrorRecorder gRecorder;

3.
/home/wyyaa123/tensorrtbuffer/src/logger.cpp:26:5: error: ‘LogStreamConsumer’ does not name a type
   26 |     LogStreamConsumer gLogVerbose{LOG_VERBOSE(gLogger)};

[xukuanHIT]

@wyyaa123 Hi, it seems like TensorRT might not be configured properly on your system. A good first step is to verify that TensorRT is working correctly by running some of the official TensorRT sample programs

[wyyaa123]

@wyyaa123 Hi, it seems like TensorRT might not be configured properly on your system. A good first step is to verify that TensorRT is working correctly by running some of the official TensorRT sample programs

hi, I have tested several official TensorRT sample programs including "sample_algorithm_selector", "sample_onnx_mnist", "sample_named_dimensions", etc.，and all tests passed successfully.(p.s. The version of cudnn is changed to 8.9.*)