librealsense: Build error when applying the kernel patching V4L

@RealSenseSupport @juvinski Hello. I am using the 4.4.1 Jetpack on Jetson Xavier. The problem is that Xavier is embedded within the robot so I do not have access to SD card slot, and it seems like I need to reinstall the jetpack 4.4 since 4.4.1 does not work. Is Intel working on getting this to work with 4.4.1? or has anyone able to patch it correctly? I could really use some help here… Thank you.

My error:

Apply Librealsense Kernel Patches patching file drivers/media/usb/uvc/Makefile patching file drivers/media/usb/uvc/uvc_driver.c Hunk #1 succeeded at 764 with fuzz 2 (offset 595 lines). patching file drivers/media/usb/uvc/uvcvideo.h Hunk #1 succeeded at 392 with fuzz 2 (offset 254 lines). patching file drivers/media/v4l2-core/v4l2-ioctl.c Hunk #1 FAILED at 1262. 1 out of 1 hunk FAILED – saving rejects to file drivers/media/v4l2-core/v4l2-ioctl.c.rej patching file include/uapi/linux/videodev2.h Hunk #1 FAILED at 641. 1 out of 1 hunk FAILED – saving rejects to file include/uapi/linux/videodev2.h.rej

My jetpack version: unitree@nx:~/librealsense$ sudo apt-cache show nvidia-jetpack Package: nvidia-jetpack Version: 4.4.1-b50 Architecture: arm64 Maintainer: NVIDIA Corporation Installed-Size: 194 Depends: nvidia-cuda (= 4.4.1-b50), nvidia-opencv (= 4.4.1-b50), nvidia-cudnn8 (= 4.4.1-b50), nvidia-tensorrt (= 4.4.1-b50), nvidia-visionworks (= 4.4.1-b50), nvidia-container (= 4.4.1-b50), nvidia-vpi (= 4.4.1-b50), nvidia-l4t-jetson-multimedia-api (>> 32.4-0), nvidia-l4t-jetson-multimedia-api (<< 32.5-0) Homepage: http://developer.nvidia.com/jetson Priority: standard Section: metapackages Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.4.1-b50_arm64.deb Size: 29412 SHA256: ec502e1e3672c059d8dd49e5673c5b2d8c606584d4173ee514bbc4376547a171 SHA1: 75a405f1ad533bfcd04280d1f9b237b880c39be5 MD5sum: 1267b31d8b8419d9847b0ec4961b15a4 Description: NVIDIA Jetpack Meta Package Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack Version: 4.4-b186 Architecture: arm64 Maintainer: NVIDIA Corporation Installed-Size: 194 Depends: nvidia-cuda (= 4.4-b186), nvidia-opencv (= 4.4-b186), nvidia-cudnn8 (= 4.4-b186), nvidia-tensorrt (= 4.4-b186), nvidia-visionworks (= 4.4-b186), nvidia-container (= 4.4-b186), nvidia-vpi (= 4.4-b186), nvidia-l4t-jetson-multimedia-api (>> 32.4-0), nvidia-l4t-jetson-multimedia-api (<< 32.5-0) Homepage: http://developer.nvidia.com/jetson Priority: standard Section: metapackages Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.4-b186_arm64.deb Size: 29376 SHA256: 7f90f2def712d993bd84855355aec47a1b63ae54edefcbf4c963dbe0cb6fbf92 SHA1: bd1f0b05adbdf8f0df4dce4f655bb9615172594f MD5sum: f9d2f9a9dfee794ef361b1bd1ec38130 Description: NVIDIA Jetpack Meta Package Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack Version: 4.4-b144 Architecture: arm64 Maintainer: NVIDIA Corporation Installed-Size: 195 Depends: nvidia-container-csv-cuda (= 10.2.89-1), libopencv-python (= 4.1.1-2-gd5a58aa75), libvisionworks-sfm-dev (= 0.90.4.501), libvisionworks-dev (= 1.6.0.501), libnvparsers7 (= 7.1.0-1+cuda10.2), libnvinfer-plugin-dev (= 7.1.0-1+cuda10.2), libnvonnxparsers7 (= 7.1.0-1+cuda10.2), libnvinfer-samples (= 7.1.0-1+cuda10.2), libnvinfer-bin (= 7.1.0-1+cuda10.2), libvisionworks-samples (= 1.6.0.501), libvisionworks-tracking-dev (= 0.88.2.501), vpi-samples (= 0.2.0), tensorrt (= 7.1.0.16-1+cuda10.2), libopencv (= 4.1.1-2-gd5a58aa75), libnvinfer-doc (= 7.1.0-1+cuda10.2), libnvparsers-dev (= 7.1.0-1+cuda10.2), libnvidia-container0 (= 0.9.0~beta.1), nvidia-container-csv-visionworks (= 1.6.0.501), cuda-toolkit-10-2 (= 10.2.89-1), graphsurgeon-tf (= 7.1.0-1+cuda10.2), libcudnn8 (= 8.0.0.145-1+cuda10.2), libopencv-samples (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-cudnn (= 8.0.0.145-1+cuda10.2), python-libnvinfer-dev (= 7.1.0-1+cuda10.2), libnvinfer-plugin7 (= 7.1.0-1+cuda10.2), libvisionworks (= 1.6.0.501), libcudnn8-doc (= 8.0.0.145-1+cuda10.2), nvidia-container-toolkit (= 1.0.1-1), libnvinfer-dev (= 7.1.0-1+cuda10.2), nvidia-l4t-jetson-multimedia-api (>> 32.4-0), nvidia-l4t-jetson-multimedia-api (<< 32.5-0), libopencv-dev (= 4.1.1-2-gd5a58aa75), vpi-dev (= 0.2.0), vpi (= 0.2.0), libcudnn8-dev (= 8.0.0.145-1+cuda10.2), python3-libnvinfer (= 7.1.0-1+cuda10.2), python3-libnvinfer-dev (= 7.1.0-1+cuda10.2), opencv-licenses (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-tensorrt (= 7.1.0.16-1+cuda10.2), libnvinfer7 (= 7.1.0-1+cuda10.2), libnvonnxparsers-dev (= 7.1.0-1+cuda10.2), uff-converter-tf (= 7.1.0-1+cuda10.2), nvidia-docker2 (= 2.2.0-1), libvisionworks-sfm (= 0.90.4.501), libnvidia-container-tools (= 0.9.0~beta.1), nvidia-container-runtime (= 3.1.0-1), python-libnvinfer (= 7.1.0-1+cuda10.2), libvisionworks-tracking (= 0.88.2.501) Conflicts: cuda-command-line-tools-10-0, cuda-compiler-10-0, cuda-cublas-10-0, cuda-cublas-dev-10-0, cuda-cudart-10-0, cuda-cudart-dev-10-0, cuda-cufft-10-0, cuda-cufft-dev-10-0, cuda-cuobjdump-10-0, cuda-cupti-10-0, cuda-curand-10-0, cuda-curand-dev-10-0, cuda-cusolver-10-0, cuda-cusolver-dev-10-0, cuda-cusparse-10-0, cuda-cusparse-dev-10-0, cuda-documentation-10-0, cuda-driver-dev-10-0, cuda-gdb-10-0, cuda-gpu-library-advisor-10-0, cuda-libraries-10-0, cuda-libraries-dev-10-0, cuda-license-10-0, cuda-memcheck-10-0, cuda-misc-headers-10-0, cuda-npp-10-0, cuda-npp-dev-10-0, cuda-nsight-compute-addon-l4t-10-0, cuda-nvcc-10-0, cuda-nvdisasm-10-0, cuda-nvgraph-10-0, cuda-nvgraph-dev-10-0, cuda-nvml-dev-10-0, cuda-nvprof-10-0, cuda-nvprune-10-0, cuda-nvrtc-10-0, cuda-nvrtc-dev-10-0, cuda-nvtx-10-0, cuda-samples-10-0, cuda-toolkit-10-0, cuda-tools-10-0, libcudnn7, libcudnn7-dev, libcudnn7-doc, libnvinfer-plugin6, libnvinfer6, libnvonnxparsers6, libnvparsers6 Homepage: http://developer.nvidia.com/jetson Priority: standard Section: metapackages Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.4-b144_arm64.deb Size: 30376 SHA256: 0556dbf2044a9d12e2c26e1a342033d4816f5d84f87dfe7a82916449249bb04b SHA1: 38e788c5cd84b3e4bd956dcd7c9e018276e17b18 MD5sum: 0a96d0fa91591f10b7c86022d068970d Description: NVIDIA Jetpack Meta Package Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Hi @juvinski I would refer you to case https://github.com/IntelRealSense/librealsense/issues/8079 in which Intel have advised that the L4T patch script currently supports JetPack 4.4 (L4T-32.4.3) at the time of writing this, and the script will fail on JetPack 4.4.1 (L4T-32.4.4).