feat(trt): update tensorrt to 22.03

CMakeLists.txt

@@ -943,18 +943,18 @@ if (USE_TENSORRT)
   endif()
 
   if (NOT EXISTS "${TRTTESTDIR}/libnvinfer.so.8")
-    message(FATAL_ERROR "Could not find TensorRT ${TENSORRT_LIB_DIR}/libnvinfer.so.8, please provide tensorRT location as TENSORRT_DIR or (TENSORRT_LIB_DIR _and_ TENSORRT_INC_DIR)")
+    message(FATAL_ERROR "Could not find TensorRT ${TRTTESTDIR}/libnvinfer.so.8, please provide tensorRT location as TENSORRT_DIR or (TENSORRT_LIB_DIR _and_ TENSORRT_INC_DIR)")
   else()
-    message(STATUS "Found TensorRT libraries : ${TRTTESTDIR}/libnvinfer.so")
+    message(STATUS "Found TensorRT libraries : ${TRTTESTDIR}/libnvinfer.so.8")
   endif()
 
     set(TENSORRT_LIB_DIR ${CMAKE_BINARY_DIR}/tensorrt-oss/bin/ ${TENSORRT_LIB_DIR})
 	set(TENSORRT_LIBS nvinfer nvcaffeparser nvinfer_plugin nvonnxparser )
 
     if (NOT TENSORRT_VERSION)
         if (EXISTS "${TRTTESTDIR}/libnvinfer.so.8")
-            set(TENSORRT_VERSION 21.08)
-            message(STATUS "Found TensorRT libraries version 8.x")
+            set(TENSORRT_VERSION 22.03)
+            message(STATUS "Found TensorRT libraries version 8")
         else()
             message(FATAL_ERROR "No supported TensorRT version found")
         endif()
@@ -975,7 +975,6 @@ if (USE_TENSORRT)
 	set(TRT_PATCHES
       ${TRT_PATCHES_PATH}/0001-support-for-refinedet.patch
       ${TRT_PATCHES_PATH}/0003-c++14.patch
-      ${TRT_PATCHES_PATH}/0008-cuda13.patch
       ${TRT_PATCHES_PATH}/0009-fix_compil_order.patch
       ${TRT_PATCHES_PATH}/0010-fix_plugin_detect.patch
       )

ci/devel-trt.Dockerfile

@@ -1,17 +1,17 @@
 # syntax = docker/dockerfile:1.0-experimental
 
 ARG DD_UBUNTU_VERSION=20.04
-ARG DD_CUDA_VERSION=11.3
+ARG DD_CUDA_VERSION=11.4
 ARG DD_CUDNN_VERSION=8
-ARG DD_TENSORRT_VERSION=8.0.1-1+cuda11.3
+ARG DD_TENSORRT_VERSION=8.2.3-1+cuda11.4
 
 # FROM nvidia/cuda:${DD_CUDA_VERSION}-cudnn${DD_CUDNN_VERSION}-devel-ubuntu${DD_UBUNTU_VERSION}
 # TODO(sileht): tensorrt is not yet in ubuntu20.04 nvidia machine learning repository
 # https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/
 # https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64/
 # We temporary use another docker image just to build tensorrt
 
-FROM nvcr.io/nvidia/tensorrt:21.07-py3 AS build
+FROM nvcr.io/nvidia/tensorrt:22.03-py3 AS build
 
 ARG DD_UBUNTU_VERSION
 ARG DD_CUDA_VERSION
@@ -99,13 +99,7 @@ RUN export DEBIAN_FRONTEND=noninteractive && \
     bash-completion \
     schedtool \
     util-linux \
-    libgstreamer1.0-dev \
-    libnvparsers8=${DD_TENSORRT_VERSION} \
-    libnvparsers-dev=${DD_TENSORRT_VERSION} \
-    libnvinfer8=${DD_TENSORRT_VERSION} \
-    libnvinfer-dev=${DD_TENSORRT_VERSION} \
-    libnvinfer-plugin8=${DD_TENSORRT_VERSION} \
-    libnvinfer-plugin-dev=${DD_TENSORRT_VERSION}
+    libgstreamer1.0-dev
 
 RUN for url in \
         https://github.com/bazelbuild/bazel/releases/download/0.24.1/bazel_0.24.1-linux-x86_64.deb \

docker/gpu_tensorrt.Dockerfile

@@ -1,5 +1,5 @@
 # syntax = docker/dockerfile:1.0-experimental
-FROM nvcr.io/nvidia/tensorrt:21.07-py3 AS build
+FROM nvcr.io/nvidia/tensorrt:22.03-py3 AS build
 
 ARG DEEPDETECT_RELEASE=OFF
 ARG DEEPDETECT_ARCH=gpu
@@ -133,7 +133,7 @@ RUN cd /opt/deepdetect/opencv/opencv-4.5.3 && mkdir build && cd build && cmake -
 -D BUILD_opencv_cudacodec=ON \
 -D WITH_CUDNN=ON \
 -D OPENCV_DNN_CUDA=OFF \
--D CUDA_ARCH_BIN=6.1 \
+-D CUDA_ARCH_BIN="6.1 7.5 8.6" \
 -D WITH_V4L=ON \
 -D WITH_QT=OFF \
 -D WITH_OPENGL=ON \
@@ -162,7 +162,7 @@ RUN --mount=type=cache,target=/ccache/ mkdir build && cd build && ../build.sh
 RUN ./docker/get_libs.sh
 
 # Build final Docker image
-FROM nvcr.io/nvidia/tensorrt:21.07-py3 AS runtime
+FROM nvcr.io/nvidia/tensorrt:22.03-py3 AS runtime
 
 ARG DEEPDETECT_ARCH=gpu