Jetson Nano Jetpack 4.6.1 upgrade and ultralytics yolov11 test

 Duckiebot 









Upgrade
root@duckie-desktop:~# apt update
Get:1 file:/var/cuda-repo-l4t-10-2-local  InRelease
Ign:1 file:/var/cuda-repo-l4t-10-2-local  InRelease
Get:2 file:/var/visionworks-repo  InRelease
Ign:2 file:/var/visionworks-repo  InRelease
Get:3 file:/var/visionworks-sfm-repo  InRelease
Ign:3 file:/var/visionworks-sfm-repo  InRelease
Get:4 file:/var/visionworks-tracking-repo  InRelease
Ign:4 file:/var/visionworks-tracking-repo  InRelease
Get:5 file:/var/cuda-repo-l4t-10-2-local  Release [564 B]
Get:5 file:/var/cuda-repo-l4t-10-2-local  Release [564 B]
Get:6 file:/var/visionworks-repo  Release [2,001 B]         
Get:6 file:/var/visionworks-repo  Release [2,001 B]                            
Get:7 file:/var/visionworks-sfm-repo  Release [2,005 B]       
Get:7 file:/var/visionworks-sfm-repo  Release [2,005 B]     
Get:8 file:/var/visionworks-tracking-repo  Release [2,010 B]                   
Get:8 file:/var/visionworks-tracking-repo  Release [2,010 B]
Hit:9 http://ports.ubuntu.com/ubuntu-ports bionic InRelease                    
Hit:11 https://repo.download.nvidia.com/jetson/common r32.7 InRelease          
Hit:12 http://ports.ubuntu.com/ubuntu-ports bionic-backports InRelease
Get:15 https://repo.download.nvidia.com/jetson/t210 r32.7 InRelease [2,553 B]  
Get:10 http://ports.ubuntu.com/ubuntu-ports bionic-updates InRelease [102 kB]  
Get:14 http://ports.ubuntu.com/ubuntu-ports bionic-security InRelease [102 kB]
Get:19 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 Packages [28.0 kB]
Get:20 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 Packages [1,846 kB]
Get:21 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main Translation-en [554 kB]
Get:22 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 DEP-11 Metadata [291 kB]
Get:23 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main DEP-11 48x48 Icons [82.8 kB]
Get:24 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main DEP-11 64x64 Icons [154 kB]
Get:25 http://ports.ubuntu.com/ubuntu-ports bionic-updates/restricted arm64 Packages [5,516 B]
Get:26 http://ports.ubuntu.com/ubuntu-ports bionic-updates/restricted Translation-en [187 kB]
Get:27 http://ports.ubuntu.com/ubuntu-ports bionic-updates/restricted arm64 DEP-11 Metadata [212 B]
Get:28 http://ports.ubuntu.com/ubuntu-ports bionic-updates/restricted DEP-11 48x48 Icons [29 B]
Get:29 http://ports.ubuntu.com/ubuntu-ports bionic-updates/restricted DEP-11 64x64 Icons [29 B]
Get:30 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 Packages [1,717 kB]
Get:31 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe Translation-en [421 kB]
Get:32 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 DEP-11 Metadata [297 kB]
Get:33 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe DEP-11 48x48 Icons [237 kB]
Get:34 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe DEP-11 64x64 Icons [521 kB]
Get:35 http://ports.ubuntu.com/ubuntu-ports bionic-updates/multiverse arm64 Packages [4,948 B]
Get:36 http://ports.ubuntu.com/ubuntu-ports bionic-updates/multiverse Translation-en [6,088 B]
Get:37 http://ports.ubuntu.com/ubuntu-ports bionic-updates/multiverse arm64 DEP-11 Metadata [212 B]
Get:38 http://ports.ubuntu.com/ubuntu-ports bionic-updates/multiverse DEP-11 48x48 Icons [29 B]
Get:39 http://ports.ubuntu.com/ubuntu-ports bionic-updates/multiverse DEP-11 64x64 Icons [2,638 B]
Get:40 http://ports.ubuntu.com/ubuntu-ports bionic-security/main arm64 Packages [1,559 kB]
Get:41 http://ports.ubuntu.com/ubuntu-ports bionic-security/main Translation-en [468 kB]
Get:42 http://ports.ubuntu.com/ubuntu-ports bionic-security/main arm64 DEP-11 Metadata [70.9 kB]
Get:43 http://ports.ubuntu.com/ubuntu-ports bionic-security/main DEP-11 48x48 Icons [31.1 kB]
Get:44 http://ports.ubuntu.com/ubuntu-ports bionic-security/main DEP-11 64x64 Icons [67.9 kB]
Get:45 http://ports.ubuntu.com/ubuntu-ports bionic-security/restricted arm64 Packages [4,972 B]
Get:46 http://ports.ubuntu.com/ubuntu-ports bionic-security/restricted Translation-en [182 kB]
Get:47 http://ports.ubuntu.com/ubuntu-ports bionic-security/restricted arm64 DEP-11 Metadata [212 B]
Get:48 http://ports.ubuntu.com/ubuntu-ports bionic-security/restricted DEP-11 48x48 Icons [29 B]
Get:49 http://ports.ubuntu.com/ubuntu-ports bionic-security/restricted DEP-11 64x64 Icons [29 B]
Get:50 http://ports.ubuntu.com/ubuntu-ports bionic-security/universe arm64 Packages [1,173 kB]
Get:51 http://ports.ubuntu.com/ubuntu-ports bionic-security/universe Translation-en [308 kB]
Get:52 http://ports.ubuntu.com/ubuntu-ports bionic-security/universe arm64 DEP-11 Metadata [56.8 kB]
Get:53 http://ports.ubuntu.com/ubuntu-ports bionic-security/universe DEP-11 48x48 Icons [35.7 kB]
Get:54 http://ports.ubuntu.com/ubuntu-ports bionic-security/universe DEP-11 64x64 Icons [152 kB]
Get:55 http://ports.ubuntu.com/ubuntu-ports bionic-security/multiverse arm64 Packages [2,672 B]
Get:56 http://ports.ubuntu.com/ubuntu-ports bionic-security/multiverse Translation-en [3,928 B]
Get:57 http://ports.ubuntu.com/ubuntu-ports bionic-security/multiverse arm64 DEP-11 Metadata [208 B]
Get:58 http://ports.ubuntu.com/ubuntu-ports bionic-security/multiverse DEP-11 48x48 Icons [29 B]
Get:59 http://ports.ubuntu.com/ubuntu-ports bionic-security/multiverse DEP-11 64x64 Icons [2,638 B]
Fetched 234 kB in 6s (36.9 kB/s)                                               
Reading package lists... Done
Building dependency tree       
Reading state information... Done
348 packages can be upgraded. Run 'apt list --upgradable' to see them.
root@duckie-desktop:~# apt upgrade
Reading package lists... Done
Building dependency tree       
Reading state information... Done
Calculating upgrade... Done
The following packages were automatically installed and are no longer required:
  apt-clone archdetect-deb bogl-bterm busybox-static cryptsetup-bin dpkg-repack efibootmgr
  gir1.2-timezonemap-1.0 gir1.2-xkl-1.0 grub-common kde-window-manager kinit kio kpackagetool5 kwayland-data
  kwin-common kwin-data kwin-x11 libdebian-installer4 libkdecorations2-5v5 libkdecorations2private5v5
  libkf5activities5 libkf5attica5 libkf5completion-data libkf5completion5 libkf5declarative-data
  libkf5declarative5 libkf5doctools5 libkf5globalaccel-data libkf5globalaccel5 libkf5globalaccelprivate5
  libkf5idletime5 libkf5jobwidgets-data libkf5jobwidgets5 libkf5kcmutils-data libkf5kcmutils5 libkf5kiocore5
  libkf5kiontlm5 libkf5kiowidgets5 libkf5newstuff-data libkf5newstuff5 libkf5newstuffcore5 libkf5package-data
  libkf5package5 libkf5plasma5 libkf5quickaddons5 libkf5solid5 libkf5solid5-data libkf5sonnet5-data
  libkf5sonnetcore5 libkf5sonnetui5 libkf5textwidgets-data libkf5textwidgets5 libkf5waylandclient5
  libkf5waylandserver5 libkf5xmlgui-bin libkf5xmlgui-data libkf5xmlgui5 libkscreenlocker5
  libkwin4-effect-builtins1 libkwineffects11 libkwinglutils11 libkwinxrenderutils11 libqgsttools-p1
  libqt5designer5 libqt5help5 libqt5multimedia5 libqt5multimedia5-plugins libqt5multimediaquick-p5
  libqt5multimediawidgets5 libqt5opengl5 libqt5quickwidgets5 libqt5sql5 libqt5test5 libxcb-composite0
  libxcb-cursor0 libxcb-damage0 os-prober python3-dbus.mainloop.pyqt5 python3-icu python3-pam python3-pyqt5
  python3-pyqt5.qtsvg python3-pyqt5.qtwebkit qml-module-org-kde-kquickcontrolsaddons qml-module-qtmultimedia
  qml-module-qtquick2 rdate tasksel tasksel-data
Use 'apt autoremove' to remove them.
The following NEW packages will be installed:
  apt-utils distro-info efibootmgr python3-click python3-colorama ubuntu-advantage-desktop-daemon
  ubuntu-advantage-tools ubuntu-pro-client ubuntu-pro-client-l10n
The following packages have been kept back:
  tensorrt
The following packages will be upgraded:
  apparmor apport apport-gtk apt base-files bash bind9-host binutils binutils-aarch64-linux-gnu binutils-common
  bluez bluez-obexd ca-certificates chromium-browser chromium-browser-l10n chromium-codecs-ffmpeg-extra
  containerd cron dbus dbus-user-session dbus-x11 dirmngr distro-info-data dnsmasq-base docker.io dpkg dpkg-dev
  e2fsprogs ffmpeg fonts-opensymbol fwupd fwupd-signed ghostscript ghostscript-x gir1.2-notify-0.7 git git-man
  gnupg gnupg-l10n gnupg-utils gpg gpg-agent gpg-wks-client gpg-wks-server gpgconf gpgsm gpgv grub-common
  gstreamer1.0-gtk3 gstreamer1.0-plugins-good gstreamer1.0-pulseaudio gzip imagemagick imagemagick-6-common
  imagemagick-6.q16 iptables isc-dhcp-client isc-dhcp-common isc-dhcp-server keyutils klibc-utils krb5-locales
  libapparmor1 libapt-inst2.0 libapt-pkg5.0 libasn1-8-heimdal libavcodec57 libavdevice57 libavfilter6
  libavformat57 libavresample3 libavutil55 libbind9-160 libbinutils libbluetooth3 libc-bin libc-dev-bin libc6
  libc6-dbg libc6-dev libcom-err2 libcups2 libcupsfilters1 libcupsimage2 libcurl3-gnutls libcurl4 libdbus-1-3
  libdns-export1100 libdns1100 libdpkg-perl libevdev2 libexempi3 libexpat1 libexpat1-dev libext2fs2 libflac8
  libfreerdp-client2-2 libfreerdp2-2 libfreetype6 libfribidi0 libfwupd2 libgmp10 libgnutls30 libgs9
  libgs9-common libgssapi-krb5-2 libgssapi3-heimdal libgstreamer-plugins-good1.0-0 libhcrypto4-heimdal
  libheimbase1-heimdal libheimntlm0-heimdal libhttp-daemon-perl libhx509-5-heimdal libice-dev libice6
  libinput-bin libinput10 libip4tc0 libip6tc0 libiptc0 libirs-export160 libisc-export169 libisc169 libisccc160
  libisccfg-export160 libisccfg160 libjbig0 libjpeg-turbo-progs libjpeg-turbo8 libk5crypto3 libkeyutils1
  libklibc libkpathsea6 libkrb5-26-heimdal libkrb5-3 libkrb5support0 libksba8 libldap-2.4-2 libldap-common
  liblouis-data liblouis14 liblwres160 liblzma5 libmagickcore-6.q16-3 libmagickcore-6.q16-3-extra
  libmagickwand-6.q16-3 libmysqlclient20 libnautilus-extension1a libncurses5 libncursesw5 libnotify-bin
  libnotify4 libnss-myhostname libnss-systemd libnss3 libntfs-3g88 libnvinfer-dev libnvinfer8 libopenjp2-7
  libpam-modules libpam-modules-bin libpam-runtime libpam-systemd libpam0g libpcre16-3 libpcre3 libpcre3-dev
  libpcre32-3 libpcrecpp0v5 libperl5.26 libpixman-1-0 libpoppler-glib8 libpoppler73 libpostproc54
  libprotobuf-lite10 libprotobuf10 libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib
  libpython3.6 libpython3.6-minimal libpython3.6-stdlib librados2 libraw16 librbd1
  libreoffice-avmedia-backend-gstreamer libreoffice-base-core libreoffice-calc libreoffice-common
  libreoffice-core libreoffice-draw libreoffice-gnome libreoffice-gtk3 libreoffice-impress libreoffice-math
  libreoffice-ogltrans libreoffice-pdfimport libreoffice-style-breeze libreoffice-style-galaxy
  libreoffice-style-tango libreoffice-writer libroken18-heimdal libsasl2-2 libsasl2-modules libsasl2-modules-db
  libsdl1.2debian libsensors4 libsepol1 libsmbclient libsnmp-base libsnmp30 libspeex1 libspeexdsp1 libsqlite3-0
  libss2 libssh2-1 libssl1.0.0 libssl1.1 libswresample2 libswscale4 libsystemd0 libtiff5 libtinfo5 libudev1
  libunwind8 libwayland-bin libwayland-client0 libwayland-cursor0 libwayland-dev libwayland-egl1
  libwayland-server0 libwbclient0 libwebp6 libwebpdemux2 libwebpmux3 libwind0-heimdal libwinpr2-2 libxml2
  libxml2-dev libxpm4 libxslt1.1 libxtables12 linux-firmware linux-libc-dev locales login multiarch-support
  nautilus nautilus-data ncurses-base ncurses-bin ncurses-term networkd-dispatcher ntfs-3g nvidia-l4t-3d-core
  nvidia-l4t-apt-source nvidia-l4t-bootloader nvidia-l4t-camera nvidia-l4t-configs nvidia-l4t-core
  nvidia-l4t-cuda nvidia-l4t-firmware nvidia-l4t-gputools nvidia-l4t-graphics-demos nvidia-l4t-gstreamer
  nvidia-l4t-init nvidia-l4t-initrd nvidia-l4t-jetson-io nvidia-l4t-jetson-multimedia-api nvidia-l4t-kernel
  nvidia-l4t-kernel-dtbs nvidia-l4t-kernel-headers nvidia-l4t-libvulkan nvidia-l4t-multimedia
  nvidia-l4t-multimedia-utils nvidia-l4t-oem-config nvidia-l4t-tools nvidia-l4t-wayland nvidia-l4t-weston
  nvidia-l4t-x11 nvidia-l4t-xusb-firmware openssh-client openssh-server openssh-sftp-server openssl passwd perl
  perl-base perl-modules-5.26 poppler-utils python-apt-common python-pil python-pkg-resources python2.7
  python2.7-dev python2.7-minimal python3-apport python3-apt python3-jwt python3-louis python3-mako
  python3-pkg-resources python3-problem-report python3-protobuf python3-software-properties python3-uno
  python3-update-manager python3.6 python3.6-minimal rsync rsyslog runc samba-libs snapd
  software-properties-common software-properties-gtk sudo systemd systemd-sysv tar thunderbird
  thunderbird-gnome-support tzdata ubuntu-drivers-common udev uno-libs3 unzip update-manager update-manager-core
  update-notifier update-notifier-common ure vim vim-common vim-runtime wireless-regdb wpasupplicant
  xserver-common xserver-xephyr xserver-xorg-core xserver-xorg-legacy xwayland xxd xz-utils zlib1g zlib1g-dev
347 upgraded, 9 newly installed, 0 to remove and 1 not upgraded.
Need to get 878 MB of archives.
After this operation, 12.5 MB disk space will be freed.
Do you want to continue? [Y/n] y
Get:1 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libc6-dbg arm64 2.27-3ubuntu1.6 [8,205 kB]
Get:2 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-gstreamer arm64 32.7.6-20241104234540 [777 kB]
Get:3 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-jetson-multimedia-api arm64 32.7.6-20241104234540 [75.2 MB]
Get:4 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libc6-dev arm64 2.27-3ubuntu1.6 [2,048 kB]
Get:5 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libc-dev-bin arm64 2.27-3ubuntu1.6 [58.6 kB]
Get:6 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 linux-libc-dev arm64 4.15.0-213.224 [961 kB]
Get:7 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libc6 arm64 2.27-3ubuntu1.6 [2,274 kB]
Get:8 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 base-files arm64 10.1ubuntu2.12 [60.2 kB]
Get:9 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 bash arm64 4.4.18-2ubuntu1.3 [546 kB]
Get:10 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpam0g arm64 1.1.8-3.6ubuntu2.18.04.6 [50.3 kB]
Get:11 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpam-modules-bin arm64 1.1.8-3.6ubuntu2.18.04.6 [35.9 kB]
Get:12 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpam-modules arm64 1.1.8-3.6ubuntu2.18.04.6 [232 kB]
Get:13 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpam-runtime all 1.1.8-3.6ubuntu2.18.04.6 [37.1 kB]
Get:14 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 cron arm64 3.0pl1-128.1ubuntu1.2 [66.0 kB]
Get:15 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 tar arm64 1.29b-2ubuntu0.4 [208 kB]        
Get:16 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 dpkg arm64 1.19.0.5ubuntu2.4 [1,090 kB]    
Get:17 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libext2fs2 arm64 1.44.1-1ubuntu1.4 [137 kB]
Get:18 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 e2fsprogs arm64 1.44.1-1ubuntu1.4 [345 kB] 
Get:19 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gzip arm64 1.6-5ubuntu1.2 [82.6 kB]        
Get:20 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 login arm64 1:4.5-1ubuntu2.5 [300 kB]      
Get:21 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ncurses-bin arm64 6.1-1ubuntu1.18.04.1 [154 kB]
Get:22 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libperl5.26 arm64 5.26.1-6ubuntu0.7 [3,306 kB]
Get:23 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-camera arm64 32.7.6-20241104234540 [5,266 kB]
Get:24 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-multimedia arm64 32.7.6-20241104234540 [7,076 kB]
Get:25 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 perl arm64 5.26.1-6ubuntu0.7 [201 kB]      
Get:26 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 perl-base arm64 5.26.1-6ubuntu0.7 [1,238 kB]
Get:27 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-cuda arm64 32.7.6-20241104234540 [3,143 kB]
Get:28 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-graphics-demos arm64 32.7.6-20241104234540 [28.1 MB]
Get:29 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 perl-modules-5.26 all 5.26.1-6ubuntu0.7 [2,764 kB]
Get:30 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-3d-core arm64 32.7.6-20241104234540 [28.3 MB]
Get:31 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 zlib1g-dev arm64 1:1.2.11.dfsg-0ubuntu2.2 [172 kB]
Get:32 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 zlib1g arm64 1:1.2.11.dfsg-0ubuntu2.2 [52.8 kB]
Get:33 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 locales all 2.27-3ubuntu1.6 [3,613 kB]     
Get:34 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-libvulkan arm64 32.7.6-20241104234540 [115 kB]
Get:35 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-weston arm64 32.7.6-20241104234540 [1,490 kB]
Get:36 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-multimedia-utils arm64 32.7.6-20241104234540 [37.9 kB]
Get:37 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-x11 arm64 32.7.6-20241104234540 [11.6 kB]
Get:38 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-init arm64 32.7.6-20241104234540 [74.8 kB]
Get:39 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-firmware arm64 32.7.6-20241104234540 [1,112 kB]
Get:40 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libc-bin arm64 2.27-3ubuntu1.6 [475 kB]    
Get:41 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-wayland arm64 32.7.6-20241104234540 [33.7 kB]
Get:42 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-apt-source arm64 32.7.6-20241104234540 [16.9 kB]
Get:43 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-initrd arm64 32.7.6-20241104234540 [7,175 kB]
Get:44 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ncurses-base all 6.1-1ubuntu1.18.04.1 [18.3 kB]
Get:45 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 liblzma5 arm64 5.2.2-1.3ubuntu0.1 [82.4 kB]
Get:46 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libnss-systemd arm64 237-3ubuntu10.57 [89.6 kB]
Get:47 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 bluez arm64 5.48-0ubuntu3.9 [775 kB]       
Get:48 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsystemd0 arm64 237-3ubuntu10.57 [171 kB]
Get:49 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-xusb-firmware arm64 32.7.6-20241104234540 [96.5 kB]
Get:50 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-kernel-dtbs arm64 4.9.337-tegra-32.7.6-20241104234540 [189 kB]
Get:51 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-kernel-headers arm64 4.9.337-tegra-32.7.6-20241104234540 [11.3 MB]
Get:52 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 snapd arm64 2.58+18.04.1 [33.5 MB]         
Get:53 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-jetson-io arm64 32.7.6-20241104234540 [30.6 kB]
Get:54 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-kernel arm64 4.9.337-tegra-32.7.6-20241104234540 [32.0 MB]
Get:55 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-bootloader arm64 32.7.6-20241104234540 [1,721 kB]
Get:56 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-tools arm64 32.7.6-20241104234540 [200 kB]
Get:57 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-configs arm64 32.7.6-20241104234540 [1,446 kB]
Get:58 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-oem-config arm64 32.7.6-20241104234540 [29.7 kB]
Get:59 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-gputools arm64 32.7.6-20241104234540 [16.2 kB]
Get:60 https://repo.download.nvidia.com/jetson/t210 r32.7/main arm64 nvidia-l4t-core arm64 32.7.6-20241104234540 [2,889 kB]
Get:61 https://repo.download.nvidia.com/jetson/common r32.7/main arm64 libnvinfer8 arm64 8.2.1-1+cuda10.2 [70.5 MB]
Get:62 https://repo.download.nvidia.com/jetson/common r32.7/main arm64 libnvinfer-dev arm64 8.2.1-1+cuda10.2 [81.3 MB]
Get:63 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 xserver-common all 2:1.19.6-1ubuntu4.15 [27.2 kB]
Get:64 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 xserver-xorg-legacy arm64 2:1.19.6-1ubuntu4.15 [32.4 kB]
Get:65 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 xserver-xorg-core arm64 2:1.19.6-1ubuntu4.15 [1,129 kB]
Get:66 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libnss-myhostname arm64 237-3ubuntu10.57 [29.6 kB]
Get:67 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpam-systemd arm64 237-3ubuntu10.57 [92.3 kB]
Get:68 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 systemd arm64 237-3ubuntu10.57 [2,566 kB]  
Get:69 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 udev arm64 237-3ubuntu10.57 [1,049 kB]     
Get:70 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libudev1 arm64 237-3ubuntu10.57 [45.3 kB]  
Get:71 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libapparmor1 arm64 2.12-4ubuntu5.3 [27.9 kB]
Get:72 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libexpat1-dev arm64 2.2.5-3ubuntu0.9 [111 kB]
Get:73 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libexpat1 arm64 2.2.5-3ubuntu0.9 [70.4 kB] 
Get:74 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 dbus-user-session arm64 1.12.2-1ubuntu1.4 [9,388 B]
Get:75 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 dbus-x11 arm64 1.12.2-1ubuntu1.4 [21.0 kB] 
Get:76 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libdbus-1-3 arm64 1.12.2-1ubuntu1.4 [152 kB]
Get:77 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 dbus arm64 1.12.2-1ubuntu1.4 [130 kB]      
Get:78 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 systemd-sysv arm64 237-3ubuntu10.57 [11.8 kB]
Get:79 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 apparmor arm64 2.12-4ubuntu5.3 [463 kB]    
Get:80 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libssl1.1 arm64 1.1.1-1ubuntu2.1~18.04.23 [1,063 kB]
Get:81 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 openssl arm64 1.1.1-1ubuntu2.1~18.04.23 [584 kB]
Get:82 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ca-certificates all 20230311ubuntu0.18.04.1 [151 kB]
Get:83 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 openssh-sftp-server arm64 1:7.6p1-4ubuntu0.7 [38.9 kB]
Get:84 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libcom-err2 arm64 1.44.1-1ubuntu1.4 [8,152 B]
Get:85 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libk5crypto3 arm64 1.16-2ubuntu0.4 [79.7 kB]
Get:86 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgssapi-krb5-2 arm64 1.16-2ubuntu0.4 [103 kB]
Get:87 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libkrb5-3 arm64 1.16-2ubuntu0.4 [241 kB]   
Get:88 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libkrb5support0 arm64 1.16-2ubuntu0.4 [28.1 kB]
Get:89 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libkeyutils1 arm64 1.5.9-9.2ubuntu2.1 [8,172 B]
Get:90 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libssl1.0.0 arm64 1.0.2n-1ubuntu5.13 [725 kB]
Get:91 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 openssh-server arm64 1:7.6p1-4ubuntu0.7 [291 kB]
Get:92 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 git-man all 1:2.17.1-1ubuntu0.18 [804 kB]  
Get:93 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgmp10 arm64 2:6.1.2+dfsg-2ubuntu0.1 [204 kB]
Get:94 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgnutls30 arm64 3.5.18-1ubuntu1.6 [541 kB]
Get:95 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libldap-common all 2.4.45+dfsg-1ubuntu1.11 [15.8 kB]
Get:96 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libroken18-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [36.3 kB]
Get:97 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libasn1-8-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [130 kB]
Get:98 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libheimbase1-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [25.9 kB]
Get:99 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libhcrypto4-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [76.5 kB]
Get:100 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwind0-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [46.7 kB]
Get:101 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libhx509-5-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [88.5 kB]
Get:102 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsqlite3-0 arm64 3.22.0-1ubuntu0.7 [430 kB]
Get:103 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libkrb5-26-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [171 kB]
Get:104 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libheimntlm0-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [13.3 kB]
Get:105 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgssapi3-heimdal arm64 7.5.0+dfsg-1ubuntu0.4 [79.6 kB]
Get:106 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsasl2-modules-db arm64 2.1.27~101-g0780600+dfsg-3ubuntu2.4 [13.6 kB]
Get:107 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsasl2-2 arm64 2.1.27~101-g0780600+dfsg-3ubuntu2.4 [43.2 kB]
Get:108 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libldap-2.4-2 arm64 2.4.45+dfsg-1ubuntu1.11 [131 kB]
Get:109 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libcurl3-gnutls arm64 7.58.0-2ubuntu3.24 [184 kB]
Get:110 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpcre3-dev arm64 2:8.39-9ubuntu0.1 [458 kB]
Get:111 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpcre16-3 arm64 2:8.39-9ubuntu0.1 [121 kB]
Get:112 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpcre32-3 arm64 2:8.39-9ubuntu0.1 [113 kB]
Get:113 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpcrecpp0v5 arm64 2:8.39-9ubuntu0.1 [15.1 kB]
Get:114 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpcre3 arm64 2:8.39-9ubuntu0.1 [202 kB] 
Get:115 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 git arm64 1:2.17.1-1ubuntu0.18 [3,008 kB] 
Get:116 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 passwd arm64 1:4.5-1ubuntu2.5 [761 kB]    
Get:117 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 openssh-client arm64 1:7.6p1-4ubuntu0.7 [525 kB]
Get:118 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpixman-1-0 arm64 0.34.0-2ubuntu0.1 [115 kB]
Get:119 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libapt-pkg5.0 arm64 1.6.17 [771 kB]       
Get:120 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gpg-wks-client arm64 2.2.4-1ubuntu1.6 [76.6 kB]
Get:121 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 dirmngr arm64 2.2.4-1ubuntu1.6 [276 kB]   
Get:122 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gpg arm64 2.2.4-1ubuntu1.6 [401 kB]       
Get:123 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gnupg-utils arm64 2.2.4-1ubuntu1.6 [108 kB]
Get:124 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gnupg-l10n all 2.2.4-1ubuntu1.6 [50.1 kB] 
Get:125 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gpg-agent arm64 2.2.4-1ubuntu1.6 [189 kB] 
Get:126 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gpgsm arm64 2.2.4-1ubuntu1.6 [181 kB]     
Get:127 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gpgconf arm64 2.2.4-1ubuntu1.6 [107 kB]   
Get:128 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gnupg arm64 2.2.4-1ubuntu1.6 [249 kB]     
Get:129 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gpg-wks-server arm64 2.2.4-1ubuntu1.6 [71.6 kB]
Get:130 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libksba8 arm64 1.3.5-2ubuntu0.18.04.2 [81.2 kB]
Get:131 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gpgv arm64 2.2.4-1ubuntu1.6 [167 kB]      
Get:132 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 apt arm64 1.6.17 [1,170 kB]               
Get:133 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpython3.6 arm64 3.6.9-1~18.04ubuntu1.12 [1,307 kB]
Get:134 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3.6 arm64 3.6.9-1~18.04ubuntu1.12 [203 kB]
Get:135 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpython3.6-stdlib arm64 3.6.9-1~18.04ubuntu1.12 [1,608 kB]
Get:136 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3.6-minimal arm64 3.6.9-1~18.04ubuntu1.12 [1,327 kB]
Get:137 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpython3.6-minimal arm64 3.6.9-1~18.04ubuntu1.12 [528 kB]
Get:138 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libncurses5 arm64 6.1-1ubuntu1.18.04.1 [77.1 kB]
Get:139 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libtinfo5 arm64 6.1-1ubuntu1.18.04.1 [71.7 kB]
Get:140 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libncursesw5 arm64 6.1-1ubuntu1.18.04.1 [96.4 kB]
Get:141 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ntfs-3g arm64 1:2017.3.23-2ubuntu0.18.04.5 [338 kB]
Get:142 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libntfs-3g88 arm64 1:2017.3.23-2ubuntu0.18.04.5 [125 kB]
Get:143 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwayland-dev arm64 1.16.0-1ubuntu1.1~18.04.4 [62.8 kB]
Get:144 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwayland-server0 arm64 1.16.0-1ubuntu1.1~18.04.4 [25.6 kB]
Get:145 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwayland-cursor0 arm64 1.16.0-1ubuntu1.1~18.04.4 [9,332 B]
Get:146 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwayland-egl1 arm64 1.16.0-1ubuntu1.1~18.04.4 [5,328 B]
Get:147 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libxml2-dev arm64 2.9.4+dfsg1-6.1ubuntu1.9 [673 kB]
Get:148 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libxml2 arm64 2.9.4+dfsg1-6.1ubuntu1.9 [548 kB]
Get:149 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwayland-bin arm64 1.16.0-1ubuntu1.1~18.04.4 [17.9 kB]
Get:150 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwayland-client0 arm64 1.16.0-1ubuntu1.1~18.04.4 [20.6 kB]
Get:151 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libevdev2 arm64 1.5.8+dfsg-1ubuntu0.2 [25.6 kB]
Get:152 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libinput-bin arm64 1.10.4-1ubuntu0.18.04.3 [11.0 kB]
Get:153 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libinput10 arm64 1.10.4-1ubuntu0.18.04.3 [71.9 kB]
Get:154 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libjpeg-turbo8 arm64 1.5.2-0ubuntu5.18.04.6 [91.9 kB]
Get:155 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libunwind8 arm64 1.2.1-8ubuntu0.1 [48.4 kB]
Get:156 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 chromium-browser-l10n all 112.0.5615.49-0ubuntu0.18.04.1 [5,565 kB]
Get:157 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libcupsimage2 arm64 2.2.7-1ubuntu2.10 [16.7 kB]
Get:158 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libcups2 arm64 2.2.7-1ubuntu2.10 [180 kB] 
Get:159 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libnss3 arm64 2:3.35-2ubuntu2.16 [1,042 kB]
Get:160 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 chromium-browser arm64 112.0.5615.49-0ubuntu0.18.04.1 [77.8 MB]
Get:161 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 chromium-codecs-ffmpeg-extra arm64 112.0.5615.49-0ubuntu0.18.04.1 [974 kB]
Get:162 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 imagemagick-6-common all 8:6.9.7.4+dfsg-16ubuntu6.15 [60.2 kB]
Get:163 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libfreetype6 arm64 2.8.1-2ubuntu2.2 [290 kB]
Get:164 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libjbig0 arm64 2.1-3.1ubuntu0.18.04.1 [24.4 kB]
Get:165 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libtiff5 arm64 4.0.9-5ubuntu0.10 [131 kB] 
Get:166 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libmagickcore-6.q16-3 arm64 8:6.9.7.4+dfsg-16ubuntu6.15 [1,458 kB]
Get:167 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libmagickwand-6.q16-3 arm64 8:6.9.7.4+dfsg-16ubuntu6.15 [242 kB]
Get:168 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsmbclient arm64 2:4.7.6+dfsg~ubuntu-0ubuntu2.29 [45.6 kB]
Get:169 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python2.7-dev arm64 2.7.17-1~18.04ubuntu1.11 [286 kB]
Get:170 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python2.7 arm64 2.7.17-1~18.04ubuntu1.11 [248 kB]
Get:171 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpython2.7-dev arm64 2.7.17-1~18.04ubuntu1.11 [28.0 MB]
Get:172 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpython2.7 arm64 2.7.17-1~18.04ubuntu1.11 [905 kB]
Get:173 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpython2.7-stdlib arm64 2.7.17-1~18.04ubuntu1.11 [1,856 kB]
Get:174 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python2.7-minimal arm64 2.7.17-1~18.04ubuntu1.11 [1,140 kB]
Get:175 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpython2.7-minimal arm64 2.7.17-1~18.04ubuntu1.11 [335 kB]
Get:176 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 samba-libs arm64 2:4.7.6+dfsg~ubuntu-0ubuntu2.29 [4,390 kB]
Get:177 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwbclient0 arm64 2:4.7.6+dfsg~ubuntu-0ubuntu2.29 [30.4 kB]
Get:178 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libapt-inst2.0 arm64 1.6.17 [54.0 kB]     
Get:179 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python-apt-common all 1.6.6 [16.9 kB]     
Get:180 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-apt arm64 1.6.6 [149 kB]          
Get:181 http://ports.ubuntu.com/ubuntu-ports bionic/main arm64 python3-colorama all 0.3.7-1 [14.9 kB]            
Get:182 http://ports.ubuntu.com/ubuntu-ports bionic/main arm64 python3-click all 6.7-3 [56.5 kB]                 
Get:183 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ubuntu-drivers-common arm64 1:0.8.6.3~0.18.04.2 [29.8 kB]
Get:184 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 update-manager all 1:18.04.13.1 [552 kB]  
Get:185 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 update-manager-core all 1:18.04.13.1 [8,528 B]
Get:186 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-update-manager all 1:18.04.13.1 [35.4 kB]
Get:187 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 distro-info-data all 0.37ubuntu0.18 [5,060 B]
Get:188 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-pkg-resources all 39.0.1-2ubuntu0.1 [99.0 kB]
Get:189 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 apt-utils arm64 1.6.17 [199 kB]           
Get:190 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 distro-info arm64 0.18ubuntu0.18.04.1 [19.0 kB]
Get:191 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ubuntu-pro-client arm64 34~18.04 [218 kB] 
Get:192 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ubuntu-advantage-tools all 34~18.04 [11.0 kB]
Get:193 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libnotify4 arm64 0.7.7-3ubuntu0.18.04.1 [16.8 kB]
Get:194 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 update-notifier arm64 3.192.1.21 [52.0 kB]
Get:195 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 update-notifier-common all 3.192.1.21 [172 kB]
Get:196 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsepol1 arm64 2.7-1ubuntu0.1 [205 kB]   
Get:197 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libss2 arm64 1.44.1-1ubuntu1.4 [9,988 B]  
Get:198 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libisc-export169 arm64 1:9.11.3+dfsg-1ubuntu1.18 [137 kB]
Get:199 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libdns-export1100 arm64 1:9.11.3+dfsg-1ubuntu1.18 [624 kB]
Get:200 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 isc-dhcp-client arm64 4.3.5-3ubuntu7.4 [213 kB]
Get:201 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libisccfg-export160 arm64 1:9.11.3+dfsg-1ubuntu1.18 [40.0 kB]
Get:202 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libirs-export160 arm64 1:9.11.3+dfsg-1ubuntu1.18 [16.4 kB]
Get:203 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 isc-dhcp-server arm64 4.3.5-3ubuntu7.4 [390 kB]
Get:204 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 isc-dhcp-common arm64 4.3.5-3ubuntu7.4 [44.8 kB]
Get:205 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 klibc-utils arm64 2.0.4-9ubuntu2.2 [107 kB]
Get:206 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libklibc arm64 2.0.4-9ubuntu2.2 [41.2 kB] 
Get:207 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libfribidi0 arm64 0.19.7-2ubuntu0.1 [23.9 kB]
Get:208 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 iptables arm64 1.6.1-2ubuntu2.1 [240 kB]  
Get:209 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libxtables12 arm64 1.6.1-2ubuntu2.1 [25.2 kB]
Get:210 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libip6tc0 arm64 1.6.1-2ubuntu2.1 [18.7 kB]
Get:211 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libiptc0 arm64 1.6.1-2ubuntu2.1 [9,556 B] 
Get:212 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libip4tc0 arm64 1.6.1-2ubuntu2.1 [18.5 kB]
Get:213 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 networkd-dispatcher all 1.7-0ubuntu3.5 [14.3 kB]
Get:214 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 rsyslog arm64 8.32.0-1ubuntu4.2 [357 kB]  
Get:215 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 sudo arm64 1.8.21p2-3ubuntu1.6 [383 kB]   
Get:216 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 tzdata all 2023c-0ubuntu0.18.04 [186 kB]  
Get:217 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ubuntu-pro-client-l10n arm64 34~18.04 [17.4 kB]
Get:218 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 vim arm64 2:8.0.1453-1ubuntu1.13 [983 kB] 
Get:219 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 vim-runtime all 2:8.0.1453-1ubuntu1.13 [5,439 kB]
Get:220 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 xxd arm64 2:8.0.1453-1ubuntu1.13 [51.0 kB]
Get:221 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 vim-common all 2:8.0.1453-1ubuntu1.13 [73.1 kB]
Get:222 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 xz-utils arm64 5.2.2-1.3ubuntu0.1 [79.8 kB]
Get:223 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 bind9-host arm64 1:9.11.3+dfsg-1ubuntu1.18 [48.2 kB]
Get:224 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libbind9-160 arm64 1:9.11.3+dfsg-1ubuntu1.18 [24.7 kB]
Get:225 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libisccfg160 arm64 1:9.11.3+dfsg-1ubuntu1.18 [42.5 kB]
Get:226 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libisccc160 arm64 1:9.11.3+dfsg-1ubuntu1.18 [15.7 kB]
Get:227 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libdns1100 arm64 1:9.11.3+dfsg-1ubuntu1.18 [804 kB]
Get:228 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libisc169 arm64 1:9.11.3+dfsg-1ubuntu1.18 [194 kB]
Get:229 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 liblwres160 arm64 1:9.11.3+dfsg-1ubuntu1.18 [30.2 kB]
Get:230 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 krb5-locales all 1.16-2ubuntu0.4 [13.4 kB]
Get:231 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 multiarch-support arm64 2.27-3ubuntu1.6 [6,960 B]
Get:232 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 rsync arm64 3.1.2-2.1ubuntu1.6 [311 kB]   
Get:233 http://ports.ubuntu.com/ubuntu-ports bionic/main arm64 efibootmgr arm64 15-1 [27.1 kB]                   
Get:234 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 grub-common arm64 2.02-2ubuntu8.26 [1,596 kB]
Get:235 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-problem-report all 2.20.9-0ubuntu7.29 [10.4 kB]
Get:236 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-apport all 2.20.9-0ubuntu7.29 [84.3 kB]
Get:237 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 apport all 2.20.9-0ubuntu7.29 [126 kB]    
Get:238 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 apport-gtk all 2.20.9-0ubuntu7.29 [9,700 B]
Get:239 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 binutils-common arm64 2.30-21ubuntu1~18.04.9 [197 kB]
Get:240 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 binutils arm64 2.30-21ubuntu1~18.04.9 [3,372 B]
Get:241 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 binutils-aarch64-linux-gnu arm64 2.30-21ubuntu1~18.04.9 [2,168 kB]
Get:242 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libbinutils arm64 2.30-21ubuntu1~18.04.9 [417 kB]
Get:243 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 bluez-obexd arm64 5.48-0ubuntu3.9 [141 kB]
Get:244 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 runc arm64 1.1.4-0ubuntu1~18.04.2 [3,239 kB]
Get:245 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 containerd arm64 1.6.12-0ubuntu1~18.04.1 [21.9 MB]
Get:246 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 dnsmasq-base arm64 2.79-1ubuntu0.7 [279 kB]
Get:247 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 docker.io arm64 20.10.21-0ubuntu1~18.04.3 [21.5 MB]
Get:248 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 dpkg-dev all 1.19.0.5ubuntu2.4 [607 kB]   
Get:249 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libdpkg-perl all 1.19.0.5ubuntu2.4 [212 kB]
Get:250 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libavutil55 arm64 7:3.4.11-0ubuntu0.1 [174 kB]
Get:251 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libopenjp2-7 arm64 2.3.0-2+deb10u2build0.18.04.1 [126 kB]
Get:252 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libspeex1 arm64 1.2~rc1.2-1ubuntu2.1 [42.8 kB]
Get:253 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libswresample2 arm64 7:3.4.11-0ubuntu0.1 [45.3 kB]
Get:254 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwebp6 arm64 0.6.1-2ubuntu0.18.04.2 [157 kB]
Get:255 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwebpmux3 arm64 0.6.1-2ubuntu0.18.04.2 [17.3 kB]
Get:256 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libavcodec57 arm64 7:3.4.11-0ubuntu0.1 [4,078 kB]
Get:257 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libavformat57 arm64 7:3.4.11-0ubuntu0.1 [842 kB]
Get:258 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libavresample3 arm64 7:3.4.11-0ubuntu0.1 [39.1 kB]
Get:259 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libpostproc54 arm64 7:3.4.11-0ubuntu0.1 [33.4 kB]
Get:260 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libswscale4 arm64 7:3.4.11-0ubuntu0.1 [116 kB]
Get:261 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libavfilter6 arm64 7:3.4.11-0ubuntu0.1 [734 kB]
Get:262 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libavdevice57 arm64 7:3.4.11-0ubuntu0.1 [67.3 kB]
Get:263 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 ffmpeg arm64 7:3.4.11-0ubuntu0.1 [1,560 kB]
Get:264 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 fonts-opensymbol all 2:102.10+LibO6.0.7-0ubuntu0.18.04.13 [93.5 kB]
Get:265 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 fwupd-signed arm64 1.51.1~18.04.1+1.4-0ubuntu0.1 [24.2 kB]
Get:266 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libfwupd2 arm64 1.2.14-0~18.04.3 [40.2 kB]
Get:267 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 fwupd arm64 1.2.14-0~18.04.3 [2,261 kB]   
Get:268 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ghostscript-x arm64 9.26~dfsg+0-0ubuntu0.18.04.18 [39.2 kB]
Get:269 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ghostscript arm64 9.26~dfsg+0-0ubuntu0.18.04.18 [51.0 kB]
Get:270 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgs9 arm64 9.26~dfsg+0-0ubuntu0.18.04.18 [1,943 kB]
Get:271 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgs9-common all 9.26~dfsg+0-0ubuntu0.18.04.18 [5,092 kB]
Get:272 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gir1.2-notify-0.7 arm64 0.7.7-3ubuntu0.18.04.1 [3,592 B]
Get:273 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gstreamer1.0-gtk3 arm64 1.14.5-0ubuntu1~18.04.3 [59.7 kB]
Get:274 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libflac8 arm64 1.3.2-1ubuntu0.1 [169 kB]  
Get:275 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gstreamer1.0-plugins-good arm64 1.14.5-0ubuntu1~18.04.3 [1,386 kB]
Get:276 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgstreamer-plugins-good1.0-0 arm64 1.14.5-0ubuntu1~18.04.3 [60.7 kB]
Get:277 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gstreamer1.0-pulseaudio arm64 1.14.5-0ubuntu1~18.04.3 [78.8 kB]
Get:278 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 imagemagick-6.q16 arm64 8:6.9.7.4+dfsg-16ubuntu6.15 [424 kB]
Get:279 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 imagemagick arm64 8:6.9.7.4+dfsg-16ubuntu6.15 [14.2 kB]
Get:280 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 keyutils arm64 1.5.9-9.2ubuntu2.1 [45.6 kB]
Get:281 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libbluetooth3 arm64 5.48-0ubuntu3.9 [57.8 kB]
Get:282 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libcupsfilters1 arm64 1.20.2-0ubuntu3.3 [97.1 kB]
Get:283 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libcurl4 arm64 7.58.0-2ubuntu3.24 [185 kB]
Get:284 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libexempi3 arm64 2.4.5-2ubuntu0.1 [511 kB]
Get:285 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwinpr2-2 arm64 2.2.0+dfsg1-0ubuntu0.18.04.4 [266 kB]
Get:286 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libfreerdp2-2 arm64 2.2.0+dfsg1-0ubuntu0.18.04.4 [430 kB]
Get:287 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libfreerdp-client2-2 arm64 2.2.0+dfsg1-0ubuntu0.18.04.4 [212 kB]
Get:288 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libhttp-daemon-perl all 6.01-1ubuntu0.1 [15.9 kB]
Get:289 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libice-dev arm64 2:1.0.9-2ubuntu0.18.04.1 [42.7 kB]
Get:290 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libice6 arm64 2:1.0.9-2ubuntu0.18.04.1 [34.2 kB]
Get:291 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libjpeg-turbo-progs arm64 1.5.2-0ubuntu5.18.04.6 [55.3 kB]
Get:292 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libkpathsea6 arm64 2017.20170613.44572-8ubuntu0.2 [49.2 kB]
Get:293 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 liblouis-data all 3.5.0-1ubuntu0.5 [1,259 kB]
Get:294 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 liblouis14 arm64 3.5.0-1ubuntu0.5 [64.5 kB]
Get:295 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libmagickcore-6.q16-3-extra arm64 8:6.9.7.4+dfsg-16ubuntu6.15 [58.1 kB]
Get:296 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libmysqlclient20 arm64 5.7.42-0ubuntu0.18.04.1 [696 kB]
Get:297 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 nautilus arm64 1:3.26.4-0~ubuntu18.04.6 [668 kB]
Get:298 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 nautilus-data all 1:3.26.4-0~ubuntu18.04.6 [68.9 kB]
Get:299 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libnautilus-extension1a arm64 1:3.26.4-0~ubuntu18.04.6 [13.2 kB]
Get:300 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libnotify-bin arm64 0.7.7-3ubuntu0.18.04.1 [6,544 B]
Get:301 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 poppler-utils arm64 0.62.0-2ubuntu2.14 [133 kB]
Get:302 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpoppler-glib8 arm64 0.62.0-2ubuntu2.14 [89.0 kB]
Get:303 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libpoppler73 arm64 0.62.0-2ubuntu2.14 [681 kB]
Get:304 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libprotobuf-lite10 arm64 3.0.0-9.1ubuntu1.1 [93.6 kB]
Get:305 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libprotobuf10 arm64 3.0.0-9.1ubuntu1.1 [612 kB]
Get:306 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 librbd1 arm64 12.2.13-0ubuntu0.18.04.11 [850 kB]
Get:307 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 librados2 arm64 12.2.13-0ubuntu0.18.04.11 [2,553 kB]
Get:308 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libraw16 arm64 0.18.8-1ubuntu0.4 [245 kB] 
Get:309 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ure arm64 6.0.7-0ubuntu0.18.04.13 [1,502 kB]
Get:310 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 uno-libs3 arm64 6.0.7-0ubuntu0.18.04.13 [655 kB]
Get:311 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-calc arm64 1:6.0.7-0ubuntu0.18.04.13 [6,520 kB]
Get:312 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-impress arm64 1:6.0.7-0ubuntu0.18.04.13 [843 kB]
Get:313 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-draw arm64 1:6.0.7-0ubuntu0.18.04.13 [2,457 kB]
Get:314 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-gnome arm64 1:6.0.7-0ubuntu0.18.04.13 [57.3 kB]
Get:315 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-gtk3 arm64 1:6.0.7-0ubuntu0.18.04.13 [199 kB]
Get:316 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-uno arm64 1:6.0.7-0ubuntu0.18.04.13 [117 kB]
Get:317 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-base-core arm64 1:6.0.7-0ubuntu0.18.04.13 [660 kB]
Get:318 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-math arm64 1:6.0.7-0ubuntu0.18.04.13 [375 kB]
Get:319 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-pdfimport all 1:6.0.7-0ubuntu0.18.04.13 [2,904 B]
Get:320 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-style-breeze all 1:6.0.7-0ubuntu0.18.04.13 [1,016 kB]
Get:321 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-style-tango all 1:6.0.7-0ubuntu0.18.04.13 [1,308 kB]
Get:322 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-style-galaxy all 1:6.0.7-0ubuntu0.18.04.13 [1,539 kB]
Get:323 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-common all 1:6.0.7-0ubuntu0.18.04.13 [24.7 MB]
Get:324 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-ogltrans arm64 1:6.0.7-0ubuntu0.18.04.13 [68.5 kB]
Get:325 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-avmedia-backend-gstreamer arm64 1:6.0.7-0ubuntu0.18.04.13 [23.6 kB]
Get:326 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-writer arm64 1:6.0.7-0ubuntu0.18.04.13 [7,703 kB]
Get:327 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libreoffice-core arm64 1:6.0.7-0ubuntu0.18.04.13 [27.9 MB]
Get:328 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libxslt1.1 arm64 1.1.29-5ubuntu0.3 [128 kB]
Get:329 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsasl2-modules arm64 2.1.27~101-g0780600+dfsg-3ubuntu2.4 [42.1 kB]
Get:330 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsdl1.2debian arm64 1.2.15+dfsg2-0.1ubuntu0.2 [146 kB]
Get:331 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsensors4 arm64 1:3.4.0-4ubuntu0.1 [25.4 kB]
Get:332 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsnmp-base all 5.7.3+dfsg-1.8ubuntu3.8 [223 kB]
Get:333 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libsnmp30 arm64 5.7.3+dfsg-1.8ubuntu3.8 [788 kB]
Get:334 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libspeexdsp1 arm64 1.2~rc1.2-1ubuntu2.1 [32.6 kB]
Get:335 http://ports.ubuntu.com/ubuntu-ports bionic-updates/universe arm64 libssh2-1 arm64 1.8.0-1ubuntu0.1 [63.1 kB]
Get:336 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libwebpdemux2 arm64 0.6.1-2ubuntu0.18.04.2 [8,860 B]
Get:337 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libxpm4 arm64 1:3.5.12-1ubuntu0.18.04.2 [30.1 kB]
Get:338 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 linux-firmware all 1.173.21 [74.8 MB]     
Get:339 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ncurses-term all 6.1-1ubuntu1.18.04.1 [248 kB]
Get:340 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python-pil arm64 5.1.0-1ubuntu0.8 [279 kB]
Get:341 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python-pkg-resources all 39.0.1-2ubuntu0.1 [128 kB]
Get:342 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-jwt all 1.5.3+ds1-1ubuntu0.1 [16.6 kB]
Get:343 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-mako all 1.0.7+ds1-1ubuntu0.2 [59.4 kB]
Get:344 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-protobuf arm64 3.0.0-9.1ubuntu1.1 [261 kB]
Get:345 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 software-properties-common all 0.96.24.32.22 [9,880 B]
Get:346 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 ubuntu-advantage-desktop-daemon arm64 1.10.ubuntu0.18.04.1~esm1 [20.5 kB]
Get:347 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 software-properties-gtk all 0.96.24.32.22 [67.9 kB]
Get:348 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-software-properties all 0.96.24.32.22 [20.5 kB]
Get:349 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 thunderbird arm64 1:102.11.0+build1-0ubuntu0.18.04.1 [48.4 MB]
Get:350 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 thunderbird-gnome-support arm64 1:102.11.0+build1-0ubuntu0.18.04.1 [8,632 B]
Get:351 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 unzip arm64 6.0-21ubuntu1.2 [159 kB]      
Get:352 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 wireless-regdb all 2024.07.04-0ubuntu1~18.04.1 [9,512 B]
Get:353 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 wpasupplicant arm64 2:2.6-15ubuntu2.8+esm1 [808 kB]
Get:354 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 xserver-xephyr arm64 2:1.19.6-1ubuntu4.15 [771 kB]
Get:355 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 xwayland arm64 2:1.19.6-1ubuntu4.15 [720 kB]
Get:356 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 python3-louis all 3.5.0-1ubuntu0.5 [6,508 B]
Fetched 878 MB in 2min 0s (7,322 kB/s)                                                                           
debconf: delaying package configuration, since apt-utils is not installed
(Reading database ... 178835 files and directories currently installed.)
Preparing to unpack .../libc6-dbg_2.27-3ubuntu1.6_arm64.deb ...
Unpacking libc6-dbg:arm64 (2.27-3ubuntu1.6) over (2.27-3ubuntu1.4) ...
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Unpacking libc6-dev:arm64 (2.27-3ubuntu1.6) over (2.27-3ubuntu1.4) ...
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Unpacking libc-dev-bin (2.27-3ubuntu1.6) over (2.27-3ubuntu1.4) ...
Preparing to unpack .../linux-libc-dev_4.15.0-213.224_arm64.deb ...
Unpacking linux-libc-dev:arm64 (4.15.0-213.224) over (4.15.0-166.174) ...
Preparing to unpack .../libc6_2.27-3ubuntu1.6_arm64.deb ...
Unpacking libc6:arm64 (2.27-3ubuntu1.6) over (2.27-3ubuntu1.4) ...
Setting up libc6:arm64 (2.27-3ubuntu1.6) ...
(Reading database ... 178835 files and directories currently installed.)
Preparing to unpack .../base-files_10.1ubuntu2.12_arm64.deb ...
Warning: Stopping motd-news.service, but it can still be activated by:
  motd-news.timer
Unpacking base-files (10.1ubuntu2.12) over (10.1ubuntu2.11) ...
Setting up base-files (10.1ubuntu2.12) ...
Installing new version of config file /etc/update-motd.d/10-help-text ...
motd-news.service is a disabled or a static unit, not starting it.
(Reading database ... 178835 files and directories currently installed.)
Preparing to unpack .../bash_4.4.18-2ubuntu1.3_arm64.deb ...
Unpacking bash (4.4.18-2ubuntu1.3) over (4.4.18-2ubuntu1.2) ...
Setting up bash (4.4.18-2ubuntu1.3) ...
update-alternatives: error: alternative path /usr/share/man/man7/bash-builtins.7.gz doesn't exist
(Reading database ... 178835 files and directories currently installed.)
Preparing to unpack .../libpam0g_1.1.8-3.6ubuntu2.18.04.6_arm64.deb ...
Unpacking libpam0g:arm64 (1.1.8-3.6ubuntu2.18.04.6) over (1.1.8-3.6ubuntu2.18.04.3) ...
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Current default time zone: 'Europe/Helsinki'
Local time is now:      Sat Mar  1 17:55:47 EET 2025.
Universal Time is now:  Sat Mar  1 15:55:47 UTC 2025.
Run 'dpkg-reconfigure tzdata' if you wish to change it.

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Configuration file '/etc/ld.so.conf.d/nvidia-tegra.conf'
 ==> Modified (by you or by a script) since installation.
 ==> Package distributor has shipped an updated version.
   What would you like to do about it ?  Your options are:
    Y or I  : install the package maintainer's version
    N or O  : keep your currently-installed version
      D     : show the differences between the versions
      Z     : start a shell to examine the situation
 The default action is to keep your current version.
*** nvidia-tegra.conf (Y/I/N/O/D/Z) [default=N] ? y
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Setting up libsasl2-modules:arm64 (2.1.27~101-g0780600+dfsg-3ubuntu2.4) ...
Setting up fonts-opensymbol (2:102.10+LibO6.0.7-0ubuntu0.18.04.13) ...
Setting up libpython2.7-minimal:arm64 (2.7.17-1~18.04ubuntu1.11) ...
Setting up uno-libs3 (6.0.7-0ubuntu0.18.04.13) ...
Setting up ca-certificates (20230311ubuntu0.18.04.1) ...
Updating certificates in /etc/ssl/certs...
rehash: warning: skipping ca-certificates.crt,it does not contain exactly one certificate or CRL
26 added, 17 removed; done.
Setting up libgstreamer-plugins-good1.0-0:arm64 (1.14.5-0ubuntu1~18.04.3) ...
Setting up libprotobuf-lite10:arm64 (3.0.0-9.1ubuntu1.1) ...
Setting up nvidia-l4t-oem-config (32.7.6-20241104234540) ...
Installing new version of config file /etc/nv-oem-config.conf ...

Configuration file '/etc/systemd/nv-oem-config-post.sh'
 ==> Deleted (by you or by a script) since installation.
 ==> Package distributor has shipped an updated version.
   What would you like to do about it ?  Your options are:
    Y or I  : install the package maintainer's version
    N or O  : keep your currently-installed version
      D     : show the differences between the versions
      Z     : start a shell to examine the situation
 The default action is to keep your current version.
*** nv-oem-config-post.sh (Y/I/N/O/D/Z) [default=N] ? y
Installing new version of config file /etc/systemd/nv-oem-config-post.sh ...

Configuration file '/etc/systemd/nv-oem-config.sh'
 ==> Deleted (by you or by a script) since installation.
 ==> Package distributor has shipped an updated version.
   What would you like to do about it ?  Your options are:
    Y or I  : install the package maintainer's version
    N or O  : keep your currently-installed version
      D     : show the differences between the versions
      Z     : start a shell to examine the situation
 The default action is to keep your current version.
*** nv-oem-config.sh (Y/I/N/O/D/Z) [default=N] ? y
Installing new version of config file /etc/systemd/nv-oem-config.sh ...
Setting up libc6-dev:arm64 (2.27-3ubuntu1.6) ...
Setting up cron (3.0pl1-128.1ubuntu1.2) ...
update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults
Setting up libraw16:arm64 (0.18.8-1ubuntu0.4) ...
Setting up libwayland-cursor0:arm64 (1.16.0-1ubuntu1.1~18.04.4) ...
Setting up locales (2.27-3ubuntu1.6) ...
Generating locales (this might take a while)...
  en_AG.UTF-8... done
  en_AU.UTF-8... done
  en_BW.UTF-8... done
  en_CA.UTF-8... done
  en_DK.UTF-8... done
  en_GB.UTF-8... done
  en_HK.UTF-8... done
  en_IE.UTF-8... done
  en_IL.UTF-8... done
  en_IN.UTF-8... done
  en_NG.UTF-8... done
  en_NZ.UTF-8... done
  en_PH.UTF-8... done
  en_SG.UTF-8... done
  en_US.UTF-8... done
  en_ZA.UTF-8... done
  en_ZM.UTF-8... done
  en_ZW.UTF-8... done
  fi_FI.UTF-8... done
Generation complete.
Setting up linux-firmware (1.173.21) ...
update-initramfs: Generating /boot/initrd.img-4.9.253-tegra
WARNING: missing /lib/modules/4.9.253-tegra
Ensure all necessary drivers are built into the linux image!
depmod: ERROR: could not open directory /lib/modules/4.9.253-tegra: No such file or directory
depmod: FATAL: could not search modules: No such file or directory
Warning: couldn't identify filesystem type for fsck hook, ignoring.
I: The initramfs will attempt to resume from /dev/zram3
I: (UUID=dd5b4964-6184-4cb5-9bdc-4044983d070e)
I: Set the RESUME variable to override this.
depmod: WARNING: could not open /var/tmp/mkinitramfs_ayl23E/lib/modules/4.9.253-tegra/modules.order: No such file 
or directory
depmod: WARNING: could not open /var/tmp/mkinitramfs_ayl23E/lib/modules/4.9.253-tegra/modules.builtin: No such fil
e or directory
/sbin/ldconfig.real: Warning: ignoring configuration file that cannot be opened: /etc/ld.so.conf.d/aarch64-linux-g
nu_EGL.conf: No such file or directory
/sbin/ldconfig.real: Warning: ignoring configuration file that cannot be opened: /etc/ld.so.conf.d/aarch64-linux-g
nu_GL.conf: No such file or directory
Setting up liblwres160:arm64 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up ure (6.0.7-0ubuntu0.18.04.13) ...
Setting up libwayland-egl1:arm64 (1.16.0-1ubuntu1.1~18.04.4) ...
Setting up python3-louis (3.5.0-1ubuntu0.5) ...
Setting up libpython2.7-stdlib:arm64 (2.7.17-1~18.04ubuntu1.11) ...
Setting up libspeexdsp1:arm64 (1.2~rc1.2-1ubuntu2.1) ...
Setting up networkd-dispatcher (1.7-0ubuntu3.5) ...
Setting up python3-jwt (1.5.3+ds1-1ubuntu0.1) ...
Setting up rsyslog (8.32.0-1ubuntu4.2) ...
The user `syslog' is already a member of `adm'.
Setting up xserver-xorg-legacy (2:1.19.6-1ubuntu4.15) ...
setting xserver-xorg-legacy/xwrapper/allowed_users from configuration file
Setting up libdbus-1-3:arm64 (1.12.2-1ubuntu1.4) ...
Setting up libip6tc0:arm64 (1.6.1-2ubuntu2.1) ...
Setting up gpg (2.2.4-1ubuntu1.6) ...
Setting up python2.7-minimal (2.7.17-1~18.04ubuntu1.11) ...
Setting up libwayland-server0:arm64 (1.16.0-1ubuntu1.1~18.04.4) ...
Setting up libwebp6:arm64 (0.6.1-2ubuntu0.18.04.2) ...
Setting up zlib1g-dev:arm64 (1:1.2.11.dfsg-0ubuntu2.2) ...
Setting up libsnmp-base (5.7.3+dfsg-1.8ubuntu3.8) ...
Setting up libwayland-bin (1.16.0-1ubuntu1.1~18.04.4) ...
Setting up distro-info (0.18ubuntu0.18.04.1) ...
Setting up libisc169:arm64 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up libnvinfer-dev (8.2.1-1+cuda10.2) ...
Setting up libk5crypto3:arm64 (1.16-2ubuntu0.4) ...
Setting up libisccc160:arm64 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up nvidia-l4t-libvulkan (32.7.6-20241104234540) ...
Setting up libpcre3-dev:arm64 (2:8.39-9ubuntu0.1) ...
Setting up klibc-utils (2.0.4-9ubuntu2.2) ...
Setting up libsnmp30:arm64 (5.7.3+dfsg-1.8ubuntu3.8) ...
Setting up libmagickcore-6.q16-3:arm64 (8:6.9.7.4+dfsg-16ubuntu6.15) ...
Setting up libavresample3:arm64 (7:3.4.11-0ubuntu0.1) ...
Setting up nvidia-l4t-multimedia-utils (32.7.6-20241104234540) ...
Setting up libwind0-heimdal:arm64 (7.5.0+dfsg-1ubuntu0.4) ...
Setting up nvidia-l4t-firmware (32.7.6-20241104234540) ...
Installing new version of config file /etc/systemd/nvwifibt-pre.sh ...
Installing new version of config file /etc/systemd/nvwifibt.sh ...
Installing new version of config file /etc/systemd/system/nvwifibt.service ...
Setting up libbinutils:arm64 (2.30-21ubuntu1~18.04.9) ...
Setting up nvidia-l4t-init (32.7.6-20241104234540) ...
Installing new version of config file /etc/asound.conf.tegrahda ...
Installing new version of config file /etc/asound.conf.tegrasndt210ref ...
Installing new version of config file /etc/default/rng-tools ...
Installing new version of config file /etc/enctune.conf ...
Installing new version of config file /etc/nvidia-container-runtime/host-files-for-container.d/l4t.csv ...
Installing new version of config file /etc/nvphsd.conf ...
Installing new version of config file /etc/nvphsd_common.conf ...
Installing new version of config file /etc/systemd/nv-late-init.sh ...
Installing new version of config file /etc/systemd/nv.sh ...
Installing new version of config file /etc/systemd/nvfb.sh ...
Installing new version of config file /etc/systemd/nvgetty.sh ...
Installing new version of config file /etc/systemd/nvmemwarning.sh ...
Installing new version of config file /etc/systemd/nvzramconfig.sh ...
Installing new version of config file /etc/systemd/system/nv-late-init.service ...
Installing new version of config file /etc/systemd/system/nv.service ...
Installing new version of config file /etc/systemd/system/nvfb.service ...
Installing new version of config file /etc/systemd/system/nvgetty.service ...
Installing new version of config file /etc/systemd/system/nvmemwarning.service ...
Installing new version of config file /etc/systemd/system/nvphs.service ...
Installing new version of config file /etc/systemd/system/nvs-service.service ...
Installing new version of config file /etc/systemd/system/nvzramconfig.service ...
Installing new version of config file /etc/udev/rules.d/99-nv-l4t-usb-device-mode.rules ...
Installing new version of config file /etc/udev/rules.d/99-nv-l4t-usb-host-config.rules ...
Installing new version of config file /etc/udev/rules.d/99-nv-ufs-mount.rules ...
Installing new version of config file /etc/udev/rules.d/99-nv-wifibt.rules ...
Installing new version of config file /etc/udev/rules.d/99-tegra-devices.rules ...
Installing new version of config file /etc/wpa_supplicant.conf ...
Installing new version of config file /etc/xdg/autostart/nvchrome.desktop ...
Installing new version of config file /etc/xdg/autostart/nvchrome.sh ...
Setting up libisc-export169:arm64 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up libasn1-8-heimdal:arm64 (7.5.0+dfsg-1ubuntu0.4) ...
Setting up nvidia-l4t-tools (32.7.6-20241104234540) ...
Installing new version of config file /etc/nvpmodel/nvpmodel_t210.conf ...
Installing new version of config file /etc/nvpmodel/nvpmodel_t210_jetson-nano.conf ...
Installing new version of config file /etc/xdg/autostart/nvpmodel_indicator.desktop ...
Setting up python3-click (6.7-3) ...
Setting up libhcrypto4-heimdal:arm64 (7.5.0+dfsg-1ubuntu0.4) ...
Setting up libinput10:arm64 (1.10.4-1ubuntu0.18.04.3) ...
Setting up keyutils (1.5.9-9.2ubuntu2.1) ...
Setting up wpasupplicant (2:2.6-15ubuntu2.8+esm1) ...
Setting up python2.7 (2.7.17-1~18.04ubuntu1.11) ...
Setting up libnss3:arm64 (2:3.35-2ubuntu2.16) ...
Setting up libwinpr2-2:arm64 (2.2.0+dfsg1-0ubuntu0.18.04.4) ...
Setting up nvidia-l4t-wayland (32.7.6-20241104234540) ...
Setting up xserver-xephyr (2:1.19.6-1ubuntu4.15) ...
Setting up gpg-wks-server (2.2.4-1ubuntu1.6) ...
Setting up python3-apport (2.20.9-0ubuntu7.29) ...
Setting up nvidia-l4t-configs (32.7.6-20241104234540) ...
Installing new version of config file /etc/modprobe.d/tegra-udrm.conf ...
Installing new version of config file /etc/modules-load.d/nv.conf ...
Installing new version of config file /etc/skel/.xsessionrc ...
Installing new version of config file /etc/skel/Desktop/gnome-terminal.desktop ...
Installing new version of config file /etc/skel/Desktop/lxterminal.desktop ...
Installing new version of config file /etc/skel/Desktop/nv_devzone.desktop ...
Installing new version of config file /etc/skel/Desktop/nv_forums.desktop ...
Installing new version of config file /etc/skel/Desktop/nv_jetson_projects.desktop ...
Installing new version of config file /etc/skel/Desktop/nv_jetson_zoo.desktop ...
Installing new version of config file /etc/skel/Desktop/nv_l4t_readme.desktop ...
Installing new version of config file /etc/systemd/nvfb-early.sh ...
Installing new version of config file /etc/systemd/nvweston.sh ...
Installing new version of config file /etc/systemd/system/apt-daily-upgrade.timer.d/override.conf ...
Installing new version of config file /etc/systemd/system/apt-daily.timer.d/override.conf ...
Installing new version of config file /etc/systemd/system/nvfb-early.service ...
Installing new version of config file /etc/systemd/system/nvpmodel.service ...
Installing new version of config file /etc/systemd/system/nvweston.service ...
Installing new version of config file /etc/systemd/timesyncd.conf.d/nv-fallback-ntp.conf ...
Installing new version of config file /etc/xdg/autostart/nvbackground.desktop ...
Installing new version of config file /etc/xdg/autostart/nvbackground.sh ...
Installing new version of config file /etc/xdg/autostart/nvl4t-readme.sh ...
Installing new version of config file /etc/xdg/autostart/nvlxde-compton.desktop ...
Installing new version of config file /etc/xdg/autostart/nvlxde-exempt.desktop ...
Installing new version of config file /etc/xdg/autostart/nvlxde-exempt.sh ...
Setting up xserver-xorg-core (2:1.19.6-1ubuntu4.15) ...
Setting up libhx509-5-heimdal:arm64 (7.5.0+dfsg-1ubuntu0.4) ...
Setting up nvidia-l4t-x11 (32.7.6-20241104234540) ...
Installing new version of config file /etc/X11/xorg.conf.jetson_e ...
Setting up thunderbird (1:102.11.0+build1-0ubuntu0.18.04.1) ...
Setting up librados2 (12.2.13-0ubuntu0.18.04.11) ...
Setting up perl (5.26.1-6ubuntu0.7) ...
Setting up libpython3.6-minimal:arm64 (3.6.9-1~18.04ubuntu1.12) ...
Setting up libpoppler73:arm64 (0.62.0-2ubuntu2.14) ...
Setting up ubuntu-drivers-common (1:0.8.6.3~0.18.04.2) ...
Setting up iptables (1.6.1-2ubuntu2.1) ...
Setting up libice-dev:arm64 (2:1.0.9-2ubuntu0.18.04.1) ...
Setting up binutils-aarch64-linux-gnu (2.30-21ubuntu1~18.04.9) ...
Setting up nvidia-l4t-apt-source (32.7.6-20241104234540) ...
Setting up libwebpmux3:arm64 (0.6.1-2ubuntu0.18.04.2) ...
Setting up thunderbird-gnome-support (1:102.11.0+build1-0ubuntu0.18.04.1) ...
Setting up bluez-obexd (5.48-0ubuntu3.9) ...
Setting up ntfs-3g (1:2017.3.23-2ubuntu0.18.04.5) ...
Setting up libpython2.7:arm64 (2.7.17-1~18.04ubuntu1.11) ...
Setting up libdns-export1100 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up libmagickwand-6.q16-3:arm64 (8:6.9.7.4+dfsg-16ubuntu6.15) ...
Setting up nvidia-l4t-kernel (4.9.337-tegra-32.7.6-20241104234540) ...
Using the existing boot entry 'primary'
3448-300-0000--1--jetson-nano-devkit-
Setting up apport (2.20.9-0ubuntu7.29) ...
Installing new version of config file /etc/init.d/apport ...
apport-autoreport.service is a disabled or a static unit, not starting it.
Setting up dnsmasq-base (2.79-1ubuntu0.7) ...
Setting up libwebpdemux2:arm64 (0.6.1-2ubuntu0.18.04.2) ...
Setting up libexpat1-dev:arm64 (2.2.5-3ubuntu0.9) ...
Setting up python3-software-properties (0.96.24.32.22) ...
Setting up libkrb5-3:arm64 (1.16-2ubuntu0.4) ...
Setting up libpython2.7-dev:arm64 (2.7.17-1~18.04ubuntu1.11) ...
Setting up binutils (2.30-21ubuntu1~18.04.9) ...
Setting up gstreamer1.0-plugins-good:arm64 (1.14.5-0ubuntu1~18.04.3) ...
Setting up libkrb5-26-heimdal:arm64 (7.5.0+dfsg-1ubuntu0.4) ...
Setting up dbus (1.12.2-1ubuntu1.4) ...
A reboot is required to replace the running dbus-daemon.
Please reboot the system when convenient.
Setting up libwayland-dev:arm64 (1.16.0-1ubuntu1.1~18.04.4) ...
Setting up bluez (5.48-0ubuntu3.9) ...
Setting up nvidia-l4t-weston (32.7.6-20241104234540) ...
Setting up python2.7-dev (2.7.17-1~18.04ubuntu1.11) ...
Setting up python-pil:arm64 (5.1.0-1ubuntu0.8) ...
Setting up libheimntlm0-heimdal:arm64 (7.5.0+dfsg-1ubuntu0.4) ...
Setting up nvidia-l4t-jetson-io (32.7.6-20241104234540) ...
Setting up ubuntu-pro-client (34~18.04) ...
Created symlink /etc/systemd/system/multi-user.target.wants/ua-reboot-cmds.service → /lib/systemd/system/ua-reboot
-cmds.service.
Created symlink /etc/systemd/system/timers.target.wants/ua-timer.timer → /lib/systemd/system/ua-timer.timer.
Created symlink /etc/systemd/system/multi-user.target.wants/ubuntu-advantage.service → /lib/systemd/system/ubuntu-
advantage.service.
Setting up software-properties-common (0.96.24.32.22) ...
Setting up ubuntu-advantage-tools (34~18.04) ...
Setting up nvidia-l4t-kernel-dtbs (4.9.337-tegra-32.7.6-20241104234540) ...
Setting up libpython3.6-stdlib:arm64 (3.6.9-1~18.04ubuntu1.12) ...
Setting up nvidia-l4t-bootloader (32.7.6-20241104234540) ...
3448-300-0000--1--jetson-nano-devkit-
Starting bootloader post-install procedure.
Update bootloader completed.
Reboot the target system for changes to take effect.
Updating extlinux.conf...
Root device is set in the extlinux.conf
Setting up nvidia-l4t-xusb-firmware (32.7.6-20241104234540) ...
3448-300-0000--1--jetson-nano-devkit-
Starting xusb firmware post-install procedure.
Update xusb firmware completed.
Reboot the target system for changes to take effect.
Setting up libpoppler-glib8:arm64 (0.62.0-2ubuntu2.14) ...
Setting up update-manager-core (1:18.04.13.1) ...
Setting up libpam-systemd:arm64 (237-3ubuntu10.57) ...
Setting up poppler-utils (0.62.0-2ubuntu2.14) ...
Setting up nvidia-l4t-initrd (32.7.6-20241104234540) ...
Setting up docker.io (20.10.21-0ubuntu1~18.04.3) ...
Setting up ubuntu-advantage-desktop-daemon (1.10.ubuntu0.18.04.1~esm1) ...
ubuntu-advantage-desktop-daemon.service is a disabled or a static unit, not starting it.
Setting up update-notifier-common (3.192.1.21) ...
Setting up nvidia-l4t-3d-core (32.7.6-20241104234540) ...
Setting up libfreerdp2-2:arm64 (2.2.0+dfsg1-0ubuntu0.18.04.4) ...
Setting up libavcodec57:arm64 (7:3.4.11-0ubuntu0.1) ...
Setting up libisccfg-export160 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up dbus-x11 (1.12.2-1ubuntu1.4) ...
Setting up libdpkg-perl (1.19.0.5ubuntu2.4) ...
Setting up python3.6-minimal (3.6.9-1~18.04ubuntu1.12) ...
Setting up imagemagick-6.q16 (8:6.9.7.4+dfsg-16ubuntu6.15) ...
Setting up apport-gtk (2.20.9-0ubuntu7.29) ...
Setting up libhttp-daemon-perl (6.01-1ubuntu0.1) ...
Setting up librbd1 (12.2.13-0ubuntu0.18.04.11) ...
Setting up nvidia-l4t-kernel-headers (4.9.337-tegra-32.7.6-20241104234540) ...
Setting up ubuntu-pro-client-l10n (34~18.04) ...
Setting up dbus-user-session (1.12.2-1ubuntu1.4) ...
Setting up nvidia-l4t-cuda (32.7.6-20241104234540) ...
Setting up isc-dhcp-client (4.3.5-3ubuntu7.4) ...
Setting up libgssapi-krb5-2:arm64 (1.16-2ubuntu0.4) ...
Setting up nvidia-l4t-multimedia (32.7.6-20241104234540) ...
Setting up dpkg-dev (1.19.0.5ubuntu2.4) ...
Setting up software-properties-gtk (0.96.24.32.22) ...
Setting up libmagickcore-6.q16-3-extra:arm64 (8:6.9.7.4+dfsg-16ubuntu6.15) ...
Setting up nvidia-l4t-camera (32.7.6-20241104234540) ...
Installing new version of config file /etc/systemd/system/nvargus-daemon.service ...
Setting up imagemagick (8:6.9.7.4+dfsg-16ubuntu6.15) ...
Setting up libirs-export160 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up isc-dhcp-server (4.3.5-3ubuntu7.4) ...
isc-dhcp-server6.service is a disabled or a static unit, not starting it.
Setting up libgssapi3-heimdal:arm64 (7.5.0+dfsg-1ubuntu0.4) ...
Setting up libdns1100:arm64 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up openssh-client (1:7.6p1-4ubuntu0.7) ...
Setting up libavformat57:arm64 (7:3.4.11-0ubuntu0.1) ...
Setting up libpython3.6:arm64 (3.6.9-1~18.04ubuntu1.12) ...
Setting up libcups2:arm64 (2.2.7-1ubuntu2.10) ...
Setting up chromium-browser (112.0.5615.49-0ubuntu0.18.04.1) ...
Setting up nvidia-l4t-graphics-demos (32.7.6-20241104234540) ...
Setting up python3.6 (3.6.9-1~18.04ubuntu1.12) ...
Setting up vim (2:8.0.1453-1ubuntu1.13) ...
Setting up libavfilter6:arm64 (7:3.4.11-0ubuntu0.1) ...
Setting up nvidia-l4t-gstreamer (32.7.6-20241104234540) ...
Setting up chromium-browser-l10n (112.0.5615.49-0ubuntu0.18.04.1) ...
Setting up libcupsfilters1:arm64 (1.20.2-0ubuntu3.3) ...
Setting up libisccfg160:arm64 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up libcupsimage2:arm64 (2.2.7-1ubuntu2.10) ...
Setting up snapd (2.58+18.04.1) ...
Installing new version of config file /etc/apparmor.d/usr.lib.snapd.snap-confine.real ...
Installing new version of config file /etc/apt/apt.conf.d/20snapd.conf ...
Created symlink /etc/systemd/system/multi-user.target.wants/snapd.aa-prompt-listener.service → /lib/systemd/system
/snapd.aa-prompt-listener.service.
snapd.failure.service is a disabled or a static unit not running, not starting it.
snapd.snap-repair.service is a disabled or a static unit not running, not starting it.
Failed to restart snapd.mounts-pre.target: Operation refused, unit snapd.mounts-pre.target may be requested by dep
endency only (it is configured to refuse manual start/stop).
See system logs and 'systemctl status snapd.mounts-pre.target' for details.
Setting up nvidia-l4t-jetson-multimedia-api (32.7.6-20241104234540) ...
Setting up openssh-sftp-server (1:7.6p1-4ubuntu0.7) ...
Setting up libfreerdp-client2-2:arm64 (2.2.0+dfsg1-0ubuntu0.18.04.4) ...
Setting up libldap-2.4-2:arm64 (2.4.45+dfsg-1ubuntu1.11) ...
Setting up dirmngr (2.2.4-1ubuntu1.6) ...
Setting up libgs9:arm64 (9.26~dfsg+0-0ubuntu0.18.04.18) ...
Setting up libavdevice57:arm64 (7:3.4.11-0ubuntu0.1) ...
Setting up samba-libs:arm64 (2:4.7.6+dfsg~ubuntu-0ubuntu2.29) ...
Setting up libcurl3-gnutls:arm64 (7.58.0-2ubuntu3.24) ...
Setting up libcurl4:arm64 (7.58.0-2ubuntu3.24) ...
Setting up libbind9-160:arm64 (1:9.11.3+dfsg-1ubuntu1.18) ...
Setting up ghostscript (9.26~dfsg+0-0ubuntu0.18.04.18) ...
Setting up gpg-wks-client (2.2.4-1ubuntu1.6) ...
Setting up libsmbclient:arm64 (2:4.7.6+dfsg~ubuntu-0ubuntu2.29) ...
Setting up openssh-server (1:7.6p1-4ubuntu0.7) ...
Setting up ffmpeg (7:3.4.11-0ubuntu0.1) ...
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update-initramfs: Generating /boot/initrd.img-4.9.253-tegra
WARNING: missing /lib/modules/4.9.253-tegra
Ensure all necessary drivers are built into the linux image!
depmod: ERROR: could not open directory /lib/modules/4.9.253-tegra: No such file or directory
depmod: FATAL: could not search modules: No such file or directory
Warning: couldn't identify filesystem type for fsck hook, ignoring.
I: The initramfs will attempt to resume from /dev/zram3
I: (UUID=dd5b4964-6184-4cb5-9bdc-4044983d070e)
I: Set the RESUME variable to override this.
depmod: WARNING: could not open /var/tmp/mkinitramfs_np9HZ2/lib/modules/4.9.253-tegra/modules.order: No such file 
or directory
depmod: WARNING: could not open /var/tmp/mkinitramfs_np9HZ2/lib/modules/4.9.253-tegra/modules.builtin: No such fil
e or directory
/sbin/ldconfig.real: Warning: ignoring configuration file that cannot be opened: /etc/ld.so.conf.d/aarch64-linux-g
nu_EGL.conf: No such file or directory
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nu_GL.conf: No such file or directory
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Rebuilding /usr/share/applications/bamf-2.index...
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Updating certificates in /etc/ssl/certs...
0 added, 0 removed; done.
Running hooks in /etc/ca-certificates/update.d...
done.
Processing triggers for nvidia-l4t-kernel (4.9.337-tegra-32.7.6-20241104234540) ...
root@duckie-desktop:~#
Docker pull
duckie@duckie-desktop:~$ docker pull ultralytics/ultralytics:latest-jetson-jetpack4
latest-jetson-jetpack4: Pulling from ultralytics/ultralytics
f46992f278c2: Pull complete 
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0ce3932e06e3: Pull complete 
Digest: sha256:714218f14cc790514622aad9de4bf06848a9f598a95a1340b3445c039a5417c4
Status: Downloaded newer image for ultralytics/ultralytics:latest-jetson-jetpack4
docker.io/ultralytics/ultralytics:latest-jetson-jetpack4
duckie@duckie-desktop:~$ docker run -it --runtime=nvidia ultralytics/ultralytics:latest-jetson-jetpack4
root@c596d57ae93a:/ultralytics# yolo benchmark model=yolo11n.pt data=coco8.yaml imgsz=640

root@4fe8e8e80cc8:/ultralytics# yolo benchmark model=yolo11n.pt data=coco8.yaml imgsz=640 format=engine
YOLO11n summary (fused): 100 layers, 2,616,248 parameters, 0 gradients, 6.5 GFLOPs

PyTorch: starting from 'yolo11n.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 84, 8400) (5.4 MB)

ONNX: starting export with onnx 1.12.0 opset 14...
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
ONNX: slimming with onnxslim 0.1.48...
ONNX: simplifier failure: FLOAT8E4M3FN
ONNX: export success ✅ 22.6s, saved as 'yolo11n.onnx' (10.2 MB)

TensorRT: starting export with TensorRT 8.2.0.6...
[03/01/2025-16:35:46] [TRT] [I] [MemUsageChange] Init CUDA: CPU +224, GPU +0, now: CPU 1502, GPU 3866 (MiB)
[03/01/2025-16:35:47] [TRT] [I] [MemUsageSnapshot] Begin constructing builder kernel library: CPU 1502 MiB, GPU 3895 MiB
[03/01/2025-16:35:47] [TRT] [I] [MemUsageSnapshot] End constructing builder kernel library: CPU 1532 MiB, GPU 3901 MiB
[03/01/2025-16:35:47] [TRT] [I] ----------------------------------------------------------------
[03/01/2025-16:35:47] [TRT] [I] Input filename:   yolo11n.onnx
[03/01/2025-16:35:47] [TRT] [I] ONNX IR version:  0.0.7
[03/01/2025-16:35:47] [TRT] [I] Opset version:    14
[03/01/2025-16:35:47] [TRT] [I] Producer name:    pytorch
[03/01/2025-16:35:47] [TRT] [I] Producer version: 1.11.0
[03/01/2025-16:35:47] [TRT] [I] Domain:           
[03/01/2025-16:35:47] [TRT] [I] Model version:    0
[03/01/2025-16:35:47] [TRT] [I] Doc string:       
[03/01/2025-16:35:47] [TRT] [I] ----------------------------------------------------------------
[03/01/2025-16:35:47] [TRT] [W] onnx2trt_utils.cpp:366: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
TensorRT: input "images" with shape(1, 3, 640, 640) DataType.FLOAT
TensorRT: output "output0" with shape(1, 84, 8400) DataType.FLOAT
TensorRT: building FP32 engine as yolo11n.engine
[03/01/2025-16:35:48] [TRT] [I] ---------- Layers Running on DLA ----------
[03/01/2025-16:35:48] [TRT] [I] ---------- Layers Running on GPU ----------
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_0
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_1), Mul_2)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_3
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_4), Mul_5)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_6
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_7), Mul_8)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Split_10
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Split_10_0
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_11
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_12), Mul_13)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_14
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_15), Mul_16), Add_17)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] input.12 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_19
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_20), Mul_21)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_22
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_23), Mul_24)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_25
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_26), Mul_27)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_30
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_31), Mul_32)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_33
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_34), Mul_35), Add_36)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_206 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] input.40 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_38
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_39), Mul_40)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_41
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_42), Mul_43)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_44
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_45), Mul_46)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_49 || Conv_66
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_50), Mul_51)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_67), Mul_68)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_52
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_53), Mul_54)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_55
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_56), Mul_57), Add_58)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_59
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_60), Mul_61)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_62
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_63), Mul_64), Add_65)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_70
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_71), Mul_72)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_226 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] input.68 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_74
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_75), Mul_76)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_77
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_78), Mul_79)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_80
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_81), Mul_82)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_85 || Conv_102
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_86), Mul_87)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_103), Mul_104)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_88
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_89), Mul_90)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_91
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_92), Mul_93), Add_94)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_95
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_96), Mul_97)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_98
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_99), Mul_100), Add_101)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_106
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_107), Mul_108)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_263 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] input.124 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_110
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_111), Mul_112)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_113
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_114), Mul_115)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] MaxPool_116
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] MaxPool_117
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] MaxPool_118
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::MaxPool_295 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::MaxPool_296 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::MaxPool_297 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_298 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_120
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_121), Mul_122)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_123
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_124), Mul_125)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Split_127_4
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_128
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Reshape_129
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Split_131
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Split_131_5
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Split_131_6
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Reshape_140
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] MatMul_133
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Mul_333 + (Unnamed Layer* 136) [Shuffle] + Mul_135
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Softmax_136
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] MatMul_138
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Reshape_139
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_141 + Add_142
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_143 + Add_144
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_145
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_146), Mul_147)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_148 + Add_149
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_307 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_366 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_151
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_152), Mul_153)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Resize_154
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_375 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_156
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_157), Mul_158)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_161
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_162), Mul_163)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_164
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_165), Mul_166), Add_167)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_381 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] input.224 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_169
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_170), Mul_171)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Resize_172
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_398 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_174
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_175), Mul_176)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_179
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_180), Mul_181)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_182
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_183), Mul_184), Add_185)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_404 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] input.252 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_187
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_188), Mul_189)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_190
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_247
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_254
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_191), Mul_192)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_248), Mul_249)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_255), Mul_256)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Resize_393 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_250
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_257
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_194
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_251), Mul_252)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_258), Mul_259)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_195), Mul_196)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_253
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_260
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_199
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_261), Mul_262)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_263
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_200), Mul_201)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_202
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_264), Mul_265)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_266
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_203), Mul_204), Add_205)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_425 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] input.284 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_207
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_208), Mul_209)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Reshape_316
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_210
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_268
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_275
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_211), Mul_212)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_269), Mul_270)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_276), Mul_277)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Resize_370 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_271
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_278
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_214
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_272), Mul_273)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_279), Mul_280)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_215), Mul_216)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_274
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_281
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_219 || Conv_236
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_282), Mul_283)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_284
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_220), Mul_221)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_237), Mul_238)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_222
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_285), Mul_286)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_287
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_223), Mul_224)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_225
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Reshape_320
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_226), Mul_227), Add_228)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_229
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_230), Mul_231)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_232
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_233), Mul_234), Add_235)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_240
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_241), Mul_242)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_446 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] input.316 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_244
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_245), Mul_246)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_289
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_296
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_290), Mul_291)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_297), Mul_298)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_292
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_299
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_293), Mul_294)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_300), Mul_301)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_295
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_302
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_303), Mul_304)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_305
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_306), Mul_307)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_308
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Reshape_324
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_551 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_561 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_571 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Split_327
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Split_327_11
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Reshape_339 + Transpose_340
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Softmax_341
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Conv_342
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Reshape_348
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Slice_359
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Slice_362
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Sub_620
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Sub_364
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Add_622
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Add_366
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(onnx::Div_625 + (Unnamed Layer* 413) [Shuffle], PWN(Add_367, Div_369))
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Sub_370
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_626 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_627 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Mul_629 + (Unnamed Layer* 418) [Shuffle]
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] Mul_373
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] PWN(Sigmoid_374)
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_630 copy
[03/01/2025-16:35:48] [TRT] [I] [GpuLayer] onnx::Concat_631 copy
[03/01/2025-16:35:48] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 1543, GPU 3894 (MiB)
[03/01/2025-16:35:51] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +241, GPU -15, now: CPU 1784, GPU 3879 (MiB)
[03/01/2025-16:35:51] [TRT] [I] Local timing cache in use. Profiling results in this builder pass will not be stored.
[03/01/2025-16:36:09] [TRT] [I] Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
[03/01/2025-16:38:47] [TRT] [I] Detected 1 inputs and 3 output network tensors.
[03/01/2025-16:38:47] [TRT] [I] Total Host Persistent Memory: 190576
[03/01/2025-16:38:47] [TRT] [I] Total Device Persistent Memory: 14257664
[03/01/2025-16:38:47] [TRT] [I] Total Scratch Memory: 0
[03/01/2025-16:38:47] [TRT] [I] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 2 MiB, GPU 171 MiB
[03/01/2025-16:38:47] [TRT] [I] [BlockAssignment] Algorithm ShiftNTopDown took 192.297ms to assign 10 blocks to 195 nodes requiring 19456002 bytes.
[03/01/2025-16:38:47] [TRT] [I] Total Activation Memory: 19456002
[03/01/2025-16:38:47] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +1, now: CPU 2043, GPU 3900 (MiB)
[03/01/2025-16:38:47] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +1, GPU +0, now: CPU 2044, GPU 3900 (MiB)
[03/01/2025-16:38:47] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +0, GPU +16, now: CPU 0, GPU 16 (MiB)
TensorRT: export success ✅ 208.7s, saved as 'yolo11n.engine' (16.3 MB)

Export complete (221.2s)
Results saved to /ultralytics
Predict:         yolo predict task=detect model=yolo11n.engine imgsz=640  
Validate:        yolo val task=detect model=yolo11n.engine imgsz=640 data=/usr/src/ultralytics/ultralytics/cfg/datasets/coco.yaml  
Visualize:       https://netron.app
Loading yolo11n.engine for TensorRT inference...
[03/01/2025-16:38:47] [TRT] [I] The logger passed into createInferRuntime differs from one already provided for an existing builder, runtime, or refitter. Uses of the global logger, returned by nvinfer1::getLogger(), will return the existing value.

[03/01/2025-16:38:47] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 2032, GPU 3888 (MiB)
[03/01/2025-16:38:47] [TRT] [I] Loaded engine size: 16 MiB
[03/01/2025-16:38:48] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +1, GPU +0, now: CPU 2041, GPU 3878 (MiB)
[03/01/2025-16:38:48] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +1, now: CPU 2041, GPU 3879 (MiB)
[03/01/2025-16:38:48] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +14, now: CPU 0, GPU 14 (MiB)
[03/01/2025-16:38:48] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2057, GPU 3879 (MiB)
[03/01/2025-16:38:48] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2057, GPU 3879 (MiB)
[03/01/2025-16:38:48] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +33, now: CPU 0, GPU 47 (MiB)
Loading yolo11n.engine for TensorRT inference...
[03/01/2025-16:38:50] [TRT] [I] The logger passed into createInferRuntime differs from one already provided for an existing builder, runtime, or refitter. Uses of the global logger, returned by nvinfer1::getLogger(), will return the existing value.

[03/01/2025-16:38:50] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 2064, GPU 3878 (MiB)
[03/01/2025-16:38:50] [TRT] [I] Loaded engine size: 16 MiB
[03/01/2025-16:38:50] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2056, GPU 3878 (MiB)
[03/01/2025-16:38:50] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +15, now: CPU 2056, GPU 3893 (MiB)
[03/01/2025-16:38:50] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +15, now: CPU 0, GPU 62 (MiB)
[03/01/2025-16:38:50] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +1, GPU +0, now: CPU 2073, GPU 3891 (MiB)
[03/01/2025-16:38:50] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU -3, now: CPU 2073, GPU 3888 (MiB)
[03/01/2025-16:38:50] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +32, now: CPU 0, GPU 94 (MiB)
val: Scanning /datasets/coco8/labels/val.cache... 4 images, 0 backgrounds, 0 corrupt: 100%|██████████| 4/4 [00:00<?, ?it/s]
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 4/4 [00:00<00:00,  6.
                   all          4         17      0.846      0.637       0.85      0.608
Speed: 3.0ms preprocess, 72.6ms inference, 0.0ms loss, 5.9ms postprocess per image
Setup complete ✅ (4 CPUs, 3.9 GB RAM, 20.1/57.1 GB disk)

Benchmarks complete for yolo11n.pt on coco8.yaml at imgsz=640 (225.16s)
Benchmarks legend:  - ✅ Success  - ❎ Export passed but validation failed  - ❌️ Export failed
     Format Status❔  Size (MB)  metrics/mAP50-95(B)  Inference time (ms/im)    FPS
0  TensorRT       ✅       16.3               0.6082                   72.56  13.78

💡 Learn more at https://docs.ultralytics.com/modes/benchmark
root@4fe8e8e80cc8:/ultralytics#


Test results using full Jetson Nano clocks and power mode,

root@4fe8e8e80cc8:/ultralytics# yolo benchmark model=yolo11n.pt data=coco8.yaml imgsz=640 format=engine
YOLO11n summary (fused): 100 layers, 2,616,248 parameters, 0 gradients, 6.5 GFLOPs

PyTorch: starting from 'yolo11n.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 84, 8400) (5.4 MB)

ONNX: starting export with onnx 1.12.0 opset 14...
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
ONNX: slimming with onnxslim 0.1.48...
ONNX: simplifier failure: FLOAT8E4M3FN
ONNX: export success ✅ 21.5s, saved as 'yolo11n.onnx' (10.2 MB)

TensorRT: starting export with TensorRT 8.2.0.6...
[03/01/2025-16:46:16] [TRT] [I] [MemUsageChange] Init CUDA: CPU +224, GPU +0, now: CPU 1502, GPU 3600 (MiB)
[03/01/2025-16:46:17] [TRT] [I] [MemUsageSnapshot] Begin constructing builder kernel library: CPU 1502 MiB, GPU 3629 MiB
[03/01/2025-16:46:17] [TRT] [I] [MemUsageSnapshot] End constructing builder kernel library: CPU 1532 MiB, GPU 3657 MiB
[03/01/2025-16:46:17] [TRT] [I] ----------------------------------------------------------------
[03/01/2025-16:46:17] [TRT] [I] Input filename:   yolo11n.onnx
[03/01/2025-16:46:17] [TRT] [I] ONNX IR version:  0.0.7
[03/01/2025-16:46:17] [TRT] [I] Opset version:    14
[03/01/2025-16:46:17] [TRT] [I] Producer name:    pytorch
[03/01/2025-16:46:17] [TRT] [I] Producer version: 1.11.0
[03/01/2025-16:46:17] [TRT] [I] Domain:           
[03/01/2025-16:46:17] [TRT] [I] Model version:    0
[03/01/2025-16:46:17] [TRT] [I] Doc string:       
[03/01/2025-16:46:17] [TRT] [I] ----------------------------------------------------------------
[03/01/2025-16:46:17] [TRT] [W] onnx2trt_utils.cpp:366: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
TensorRT: input "images" with shape(1, 3, 640, 640) DataType.FLOAT
TensorRT: output "output0" with shape(1, 84, 8400) DataType.FLOAT
TensorRT: building FP32 engine as yolo11n.engine
[03/01/2025-16:46:18] [TRT] [I] ---------- Layers Running on DLA ----------
[03/01/2025-16:46:18] [TRT] [I] ---------- Layers Running on GPU ----------
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_0
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_1), Mul_2)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_3
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_4), Mul_5)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_6
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_7), Mul_8)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Split_10
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Split_10_0
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_11
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_12), Mul_13)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_14
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_15), Mul_16), Add_17)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] input.12 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_19
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_20), Mul_21)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_22
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_23), Mul_24)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_25
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_26), Mul_27)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_30
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_31), Mul_32)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_33
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_34), Mul_35), Add_36)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_206 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] input.40 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_38
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_39), Mul_40)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_41
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_42), Mul_43)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_44
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_45), Mul_46)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_49 || Conv_66
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_50), Mul_51)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_67), Mul_68)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_52
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_53), Mul_54)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_55
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_56), Mul_57), Add_58)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_59
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_60), Mul_61)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_62
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_63), Mul_64), Add_65)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_70
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_71), Mul_72)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_226 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] input.68 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_74
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_75), Mul_76)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_77
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_78), Mul_79)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_80
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_81), Mul_82)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_85 || Conv_102
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_86), Mul_87)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_103), Mul_104)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_88
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_89), Mul_90)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_91
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_92), Mul_93), Add_94)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_95
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_96), Mul_97)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_98
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_99), Mul_100), Add_101)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_106
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_107), Mul_108)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_263 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] input.124 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_110
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_111), Mul_112)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_113
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_114), Mul_115)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] MaxPool_116
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] MaxPool_117
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] MaxPool_118
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::MaxPool_295 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::MaxPool_296 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::MaxPool_297 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_298 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_120
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_121), Mul_122)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_123
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_124), Mul_125)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Split_127_4
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_128
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Reshape_129
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Split_131
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Split_131_5
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Split_131_6
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Reshape_140
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] MatMul_133
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Mul_333 + (Unnamed Layer* 136) [Shuffle] + Mul_135
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Softmax_136
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] MatMul_138
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Reshape_139
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_141 + Add_142
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_143 + Add_144
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_145
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_146), Mul_147)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_148 + Add_149
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_307 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_366 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_151
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_152), Mul_153)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Resize_154
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_375 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_156
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_157), Mul_158)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_161
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_162), Mul_163)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_164
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_165), Mul_166), Add_167)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_381 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] input.224 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_169
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_170), Mul_171)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Resize_172
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_398 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_174
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_175), Mul_176)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_179
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_180), Mul_181)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_182
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_183), Mul_184), Add_185)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_404 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] input.252 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_187
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_188), Mul_189)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_190
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_247
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_254
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_191), Mul_192)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_248), Mul_249)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_255), Mul_256)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Resize_393 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_250
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_257
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_194
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_251), Mul_252)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_258), Mul_259)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_195), Mul_196)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_253
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_260
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_199
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_261), Mul_262)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_263
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_200), Mul_201)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_202
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_264), Mul_265)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_266
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_203), Mul_204), Add_205)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_425 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] input.284 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_207
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_208), Mul_209)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Reshape_316
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_210
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_268
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_275
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_211), Mul_212)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_269), Mul_270)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_276), Mul_277)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Resize_370 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_271
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_278
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_214
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_272), Mul_273)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_279), Mul_280)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_215), Mul_216)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_274
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_281
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_219 || Conv_236
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_282), Mul_283)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_284
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_220), Mul_221)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_237), Mul_238)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_222
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_285), Mul_286)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_287
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_223), Mul_224)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_225
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Reshape_320
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_226), Mul_227), Add_228)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_229
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_230), Mul_231)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_232
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_233), Mul_234), Add_235)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_240
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_241), Mul_242)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_446 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] input.316 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_244
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_245), Mul_246)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_289
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_296
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_290), Mul_291)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_297), Mul_298)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_292
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_299
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_293), Mul_294)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_300), Mul_301)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_295
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_302
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_303), Mul_304)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_305
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_306), Mul_307)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_308
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Reshape_324
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_551 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_561 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_571 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Split_327
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Split_327_11
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Reshape_339 + Transpose_340
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Softmax_341
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Conv_342
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Reshape_348
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Slice_359
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Slice_362
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Sub_620
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Sub_364
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Add_622
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Add_366
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(onnx::Div_625 + (Unnamed Layer* 413) [Shuffle], PWN(Add_367, Div_369))
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Sub_370
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_626 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_627 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Mul_629 + (Unnamed Layer* 418) [Shuffle]
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] Mul_373
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] PWN(Sigmoid_374)
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_630 copy
[03/01/2025-16:46:18] [TRT] [I] [GpuLayer] onnx::Concat_631 copy
[03/01/2025-16:46:18] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 1543, GPU 3691 (MiB)
[03/01/2025-16:46:21] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +241, GPU +195, now: CPU 1784, GPU 3886 (MiB)
[03/01/2025-16:46:21] [TRT] [I] Local timing cache in use. Profiling results in this builder pass will not be stored.
[03/01/2025-16:46:36] [TRT] [I] Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
[03/01/2025-16:49:02] [TRT] [I] Detected 1 inputs and 3 output network tensors.
[03/01/2025-16:49:02] [TRT] [I] Total Host Persistent Memory: 198512
[03/01/2025-16:49:02] [TRT] [I] Total Device Persistent Memory: 14257664
[03/01/2025-16:49:02] [TRT] [I] Total Scratch Memory: 0
[03/01/2025-16:49:02] [TRT] [I] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 2 MiB, GPU 171 MiB
[03/01/2025-16:49:03] [TRT] [I] [BlockAssignment] Algorithm ShiftNTopDown took 189.887ms to assign 9 blocks to 193 nodes requiring 19456001 bytes.
[03/01/2025-16:49:03] [TRT] [I] Total Activation Memory: 19456001
[03/01/2025-16:49:03] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2043, GPU 3894 (MiB)
[03/01/2025-16:49:03] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2043, GPU 3894 (MiB)
[03/01/2025-16:49:03] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +0, GPU +16, now: CPU 0, GPU 16 (MiB)
TensorRT: export success ✅ 191.8s, saved as 'yolo11n.engine' (16.3 MB)

Export complete (200.8s)
Results saved to /ultralytics
Predict:         yolo predict task=detect model=yolo11n.engine imgsz=640  
Validate:        yolo val task=detect model=yolo11n.engine imgsz=640 data=/usr/src/ultralytics/ultralytics/cfg/datasets/coco.yaml  
Visualize:       https://netron.app
Loading yolo11n.engine for TensorRT inference...
[03/01/2025-16:49:04] [TRT] [I] The logger passed into createInferRuntime differs from one already provided for an existing builder, runtime, or refitter. Uses of the global logger, returned by nvinfer1::getLogger(), will return the existing value.

[03/01/2025-16:49:04] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 2033, GPU 3880 (MiB)
[03/01/2025-16:49:04] [TRT] [I] Loaded engine size: 16 MiB
[03/01/2025-16:49:04] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2041, GPU 3869 (MiB)
[03/01/2025-16:49:05] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2041, GPU 3869 (MiB)
[03/01/2025-16:49:05] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +14, now: CPU 0, GPU 14 (MiB)
[03/01/2025-16:49:05] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2057, GPU 3869 (MiB)
[03/01/2025-16:49:05] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2057, GPU 3869 (MiB)
[03/01/2025-16:49:05] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +33, now: CPU 0, GPU 47 (MiB)
Loading yolo11n.engine for TensorRT inference...
[03/01/2025-16:49:06] [TRT] [I] The logger passed into createInferRuntime differs from one already provided for an existing builder, runtime, or refitter. Uses of the global logger, returned by nvinfer1::getLogger(), will return the existing value.

[03/01/2025-16:49:06] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 2065, GPU 3857 (MiB)
[03/01/2025-16:49:06] [TRT] [I] Loaded engine size: 16 MiB
[03/01/2025-16:49:07] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +1, GPU +0, now: CPU 2057, GPU 3857 (MiB)
[03/01/2025-16:49:07] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2057, GPU 3857 (MiB)
[03/01/2025-16:49:07] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +15, now: CPU 0, GPU 62 (MiB)
[03/01/2025-16:49:07] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2073, GPU 3857 (MiB)
[03/01/2025-16:49:07] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +16, now: CPU 2073, GPU 3873 (MiB)
[03/01/2025-16:49:07] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +32, now: CPU 0, GPU 94 (MiB)
val: Scanning /datasets/coco8/labels/val.cache... 4 images, 0 backgrounds, 0 corrupt: 100%|██████████| 4/4 [00:00<?, ?it/s]
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 4/4 [00:00<00:00,  5.
                   all          4         17      0.846      0.637       0.85      0.608
Speed: 2.4ms preprocess, 69.6ms inference, 0.0ms loss, 10.8ms postprocess per image
Setup complete ✅ (4 CPUs, 3.9 GB RAM, 20.1/57.1 GB disk)

Benchmarks complete for yolo11n.pt on coco8.yaml at imgsz=640 (206.26s)
Benchmarks legend:  - ✅ Success  - ❎ Export passed but validation failed  - ❌️ Export failed
     Format Status❔  Size (MB)  metrics/mAP50-95(B)  Inference time (ms/im)    FPS
0  TensorRT       ✅       16.3               0.6082                   69.61  14.37

💡 Learn more at https://docs.ultralytics.com/modes/benchmark
root@4fe8e8e80cc8:/ultralytics# yolo benchmark model=yolo11n.pt data=coco8.yaml imgsz=640 format=engine half=True
YOLO11n summary (fused): 100 layers, 2,616,248 parameters, 0 gradients, 6.5 GFLOPs

PyTorch: starting from 'yolo11n.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 84, 8400) (5.4 MB)

ONNX: starting export with onnx 1.12.0 opset 14...
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
ONNX: slimming with onnxslim 0.1.48...
ONNX: simplifier failure: FLOAT8E4M3FN
ONNX: export success ✅ 22.5s, saved as 'yolo11n.onnx' (10.2 MB)

TensorRT: starting export with TensorRT 8.2.0.6...
[03/01/2025-16:52:15] [TRT] [I] [MemUsageChange] Init CUDA: CPU +224, GPU +0, now: CPU 1502, GPU 3558 (MiB)
[03/01/2025-16:52:16] [TRT] [I] [MemUsageSnapshot] Begin constructing builder kernel library: CPU 1502 MiB, GPU 3586 MiB
[03/01/2025-16:52:16] [TRT] [I] [MemUsageSnapshot] End constructing builder kernel library: CPU 1532 MiB, GPU 3616 MiB
[03/01/2025-16:52:16] [TRT] [I] ----------------------------------------------------------------
[03/01/2025-16:52:16] [TRT] [I] Input filename:   yolo11n.onnx
[03/01/2025-16:52:16] [TRT] [I] ONNX IR version:  0.0.7
[03/01/2025-16:52:16] [TRT] [I] Opset version:    14
[03/01/2025-16:52:16] [TRT] [I] Producer name:    pytorch
[03/01/2025-16:52:16] [TRT] [I] Producer version: 1.11.0
[03/01/2025-16:52:16] [TRT] [I] Domain:           
[03/01/2025-16:52:16] [TRT] [I] Model version:    0
[03/01/2025-16:52:16] [TRT] [I] Doc string:       
[03/01/2025-16:52:16] [TRT] [I] ----------------------------------------------------------------
[03/01/2025-16:52:16] [TRT] [W] onnx2trt_utils.cpp:366: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
TensorRT: input "images" with shape(1, 3, 640, 640) DataType.FLOAT
TensorRT: output "output0" with shape(1, 84, 8400) DataType.FLOAT
TensorRT: building FP16 engine as yolo11n.engine
[03/01/2025-16:52:17] [TRT] [I] ---------- Layers Running on DLA ----------
[03/01/2025-16:52:17] [TRT] [I] ---------- Layers Running on GPU ----------
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_0
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_1), Mul_2)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_3
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_4), Mul_5)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_6
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_7), Mul_8)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Split_10
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Split_10_0
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_11
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_12), Mul_13)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_14
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_15), Mul_16), Add_17)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] input.12 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_19
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_20), Mul_21)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_22
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_23), Mul_24)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_25
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_26), Mul_27)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_30
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_31), Mul_32)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_33
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_34), Mul_35), Add_36)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_206 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] input.40 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_38
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_39), Mul_40)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_41
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_42), Mul_43)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_44
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_45), Mul_46)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_49 || Conv_66
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_50), Mul_51)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_67), Mul_68)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_52
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_53), Mul_54)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_55
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_56), Mul_57), Add_58)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_59
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_60), Mul_61)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_62
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_63), Mul_64), Add_65)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_70
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_71), Mul_72)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_226 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] input.68 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_74
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_75), Mul_76)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_77
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_78), Mul_79)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_80
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_81), Mul_82)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_85 || Conv_102
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_86), Mul_87)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_103), Mul_104)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_88
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_89), Mul_90)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_91
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_92), Mul_93), Add_94)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_95
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_96), Mul_97)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_98
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_99), Mul_100), Add_101)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_106
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_107), Mul_108)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_263 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] input.124 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_110
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_111), Mul_112)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_113
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_114), Mul_115)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] MaxPool_116
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] MaxPool_117
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] MaxPool_118
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::MaxPool_295 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::MaxPool_296 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::MaxPool_297 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_298 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_120
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_121), Mul_122)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_123
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_124), Mul_125)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Split_127_4
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_128
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Reshape_129
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Split_131
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Split_131_5
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Split_131_6
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Reshape_140
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] MatMul_133
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Mul_333 + (Unnamed Layer* 136) [Shuffle] + Mul_135
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Softmax_136
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] MatMul_138
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Reshape_139
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_141 + Add_142
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_143 + Add_144
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_145
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_146), Mul_147)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_148 + Add_149
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_307 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_366 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_151
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_152), Mul_153)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Resize_154
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_375 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_156
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_157), Mul_158)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_161
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_162), Mul_163)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_164
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_165), Mul_166), Add_167)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_381 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] input.224 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_169
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_170), Mul_171)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Resize_172
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_398 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_174
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_175), Mul_176)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_179
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_180), Mul_181)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_182
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_183), Mul_184), Add_185)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_404 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] input.252 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_187
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_188), Mul_189)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_190
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_247
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_254
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_191), Mul_192)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_248), Mul_249)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_255), Mul_256)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Resize_393 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_250
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_257
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_194
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_251), Mul_252)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_258), Mul_259)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_195), Mul_196)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_253
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_260
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_199
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_261), Mul_262)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_263
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_200), Mul_201)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_202
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_264), Mul_265)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_266
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_203), Mul_204), Add_205)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_425 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] input.284 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_207
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_208), Mul_209)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Reshape_316
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_210
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_268
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_275
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_211), Mul_212)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_269), Mul_270)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_276), Mul_277)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Resize_370 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_271
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_278
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_214
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_272), Mul_273)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_279), Mul_280)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_215), Mul_216)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_274
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_281
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_219 || Conv_236
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_282), Mul_283)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_284
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_220), Mul_221)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_237), Mul_238)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_222
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_285), Mul_286)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_287
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_223), Mul_224)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_225
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Reshape_320
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_226), Mul_227), Add_228)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_229
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_230), Mul_231)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_232
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_233), Mul_234), Add_235)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_240
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_241), Mul_242)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_446 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] input.316 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_244
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_245), Mul_246)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_289
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_296
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_290), Mul_291)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_297), Mul_298)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_292
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_299
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_293), Mul_294)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_300), Mul_301)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_295
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_302
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_303), Mul_304)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_305
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_306), Mul_307)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_308
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Reshape_324
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_551 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_561 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_571 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Split_327
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Split_327_11
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Reshape_339 + Transpose_340
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Softmax_341
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Conv_342
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Reshape_348
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Slice_359
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Slice_362
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Sub_620
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Sub_364
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Add_622
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Add_366
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(onnx::Div_625 + (Unnamed Layer* 413) [Shuffle], PWN(Add_367, Div_369))
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Sub_370
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_626 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_627 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Mul_629 + (Unnamed Layer* 418) [Shuffle]
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] Mul_373
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] PWN(Sigmoid_374)
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_630 copy
[03/01/2025-16:52:17] [TRT] [I] [GpuLayer] onnx::Concat_631 copy
[03/01/2025-16:52:17] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 1543, GPU 3653 (MiB)
[03/01/2025-16:52:20] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +241, GPU +237, now: CPU 1784, GPU 3890 (MiB)
[03/01/2025-16:52:20] [TRT] [I] Local timing cache in use. Profiling results in this builder pass will not be stored.
[03/01/2025-16:52:51] [TRT] [I] Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
[03/01/2025-16:58:28] [TRT] [I] Detected 1 inputs and 3 output network tensors.
[03/01/2025-16:58:28] [TRT] [I] Total Host Persistent Memory: 191136
[03/01/2025-16:58:28] [TRT] [I] Total Device Persistent Memory: 7439360
[03/01/2025-16:58:28] [TRT] [I] Total Scratch Memory: 0
[03/01/2025-16:58:28] [TRT] [I] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 5 MiB, GPU 171 MiB
[03/01/2025-16:58:29] [TRT] [I] [BlockAssignment] Algorithm ShiftNTopDown took 230.304ms to assign 10 blocks to 211 nodes requiring 12108801 bytes.
[03/01/2025-16:58:29] [TRT] [I] Total Activation Memory: 12108801
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2052, GPU 3726 (MiB)
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +1, GPU +20, now: CPU 2053, GPU 3746 (MiB)
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +5, GPU +16, now: CPU 5, GPU 16 (MiB)
TensorRT: export success ✅ 399.6s, saved as 'yolo11n.engine' (9.4 MB)

Export complete (408.9s)
Results saved to /ultralytics
Predict:         yolo predict task=detect model=yolo11n.engine imgsz=640 half 
Validate:        yolo val task=detect model=yolo11n.engine imgsz=640 data=/usr/src/ultralytics/ultralytics/cfg/datasets/coco.yaml half 
Visualize:       https://netron.app
Loading yolo11n.engine for TensorRT inference...
[03/01/2025-16:58:29] [TRT] [I] The logger passed into createInferRuntime differs from one already provided for an existing builder, runtime, or refitter. Uses of the global logger, returned by nvinfer1::getLogger(), will return the existing value.

[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 2028, GPU 3761 (MiB)
[03/01/2025-16:58:29] [TRT] [I] Loaded engine size: 9 MiB
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2036, GPU 3761 (MiB)
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2036, GPU 3761 (MiB)
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +8, now: CPU 0, GPU 8 (MiB)
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2036, GPU 3761 (MiB)
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +1, GPU +0, now: CPU 2037, GPU 3761 (MiB)
[03/01/2025-16:58:29] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +18, now: CPU 0, GPU 26 (MiB)
Loading yolo11n.engine for TensorRT inference...
[03/01/2025-16:58:31] [TRT] [I] The logger passed into createInferRuntime differs from one already provided for an existing builder, runtime, or refitter. Uses of the global logger, returned by nvinfer1::getLogger(), will return the existing value.

[03/01/2025-16:58:31] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 2044, GPU 3774 (MiB)
[03/01/2025-16:58:31] [TRT] [I] Loaded engine size: 9 MiB
[03/01/2025-16:58:31] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2052, GPU 3788 (MiB)
[03/01/2025-16:58:31] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +34, now: CPU 2052, GPU 3822 (MiB)
[03/01/2025-16:58:31] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +8, now: CPU 0, GPU 34 (MiB)
[03/01/2025-16:58:31] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2061, GPU 3822 (MiB)
[03/01/2025-16:58:31] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +1, GPU +20, now: CPU 2062, GPU 3842 (MiB)
[03/01/2025-16:58:31] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +19, now: CPU 0, GPU 53 (MiB)
val: Scanning /datasets/coco8/labels/val.cache... 4 images, 0 backgrounds, 0 corrupt: 100%|██████████| 4/4 [00:00<?, ?it/s]
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 4/4 [00:01<00:00,  3.
                   all          4         17      0.849      0.637       0.85      0.612
Speed: 6.2ms preprocess, 52.4ms inference, 0.0ms loss, 55.9ms postprocess per image
Setup complete ✅ (4 CPUs, 3.9 GB RAM, 20.1/57.1 GB disk)

Benchmarks complete for yolo11n.pt on coco8.yaml at imgsz=640 (413.00s)
Benchmarks legend:  - ✅ Success  - ❎ Export passed but validation failed  - ❌️ Export failed
     Format Status❔  Size (MB)  metrics/mAP50-95(B)  Inference time (ms/im)    FPS
0  TensorRT       ✅        9.4               0.6117                   52.38  19.09

💡 Learn more at https://docs.ultralytics.com/modes/benchmark
root@4fe8e8e80cc8:/ultralytics# 
root@4fe8e8e80cc8:/ultralytics# yolo benchmark model=yolo11s^Ct data=coco8.yaml imgsz=640 format=engine half=True
root@4fe8e8e80cc8:/ultralytics# yolo benchmark model=yolo11n.pt data=coco8.yaml imgsz="(320,240)" format=engine half=True
WARNING ⚠️ imgsz=[320, 240] must be multiple of max stride 32, updating to [320, 256]
Traceback (most recent call last):
  File "/usr/local/bin/yolo", line 10, in <module>
    sys.exit(entrypoint())
  File "/ultralytics/ultralytics/cfg/__init__.py", line 986, in entrypoint
    getattr(model, mode)(**overrides)  # default args from model
  File "/ultralytics/ultralytics/engine/model.py", line 685, in benchmark
    return benchmark(
  File "/ultralytics/ultralytics/utils/benchmarks.py", line 86, in benchmark
    assert imgsz[0] == imgsz[1] if isinstance(imgsz, list) else True, "benchmark() only supports square imgsz."
AssertionError: benchmark() only supports square imgsz.
root@4fe8e8e80cc8:/ultralytics# yolo benchmark model=yolo11n.pt data=coco8.yaml imgsz=480 format=engine half=True
YOLO11n summary (fused): 100 layers, 2,616,248 parameters, 0 gradients, 6.5 GFLOPs

PyTorch: starting from 'yolo11n.pt' with input shape (1, 3, 480, 480) BCHW and output shape(s) (1, 84, 4725) (5.4 MB)

ONNX: starting export with onnx 1.12.0 opset 14...
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
ONNX: slimming with onnxslim 0.1.48...
ONNX: simplifier failure: FLOAT8E4M3FN
ONNX: export success ✅ 22.1s, saved as 'yolo11n.onnx' (10.1 MB)

TensorRT: starting export with TensorRT 8.2.0.6...
[03/01/2025-17:03:10] [TRT] [I] [MemUsageChange] Init CUDA: CPU +224, GPU +0, now: CPU 1502, GPU 3387 (MiB)
[03/01/2025-17:03:10] [TRT] [I] [MemUsageSnapshot] Begin constructing builder kernel library: CPU 1502 MiB, GPU 3416 MiB
[03/01/2025-17:03:11] [TRT] [I] [MemUsageSnapshot] End constructing builder kernel library: CPU 1532 MiB, GPU 3446 MiB
[03/01/2025-17:03:11] [TRT] [I] ----------------------------------------------------------------
[03/01/2025-17:03:11] [TRT] [I] Input filename:   yolo11n.onnx
[03/01/2025-17:03:11] [TRT] [I] ONNX IR version:  0.0.7
[03/01/2025-17:03:11] [TRT] [I] Opset version:    14
[03/01/2025-17:03:11] [TRT] [I] Producer name:    pytorch
[03/01/2025-17:03:11] [TRT] [I] Producer version: 1.11.0
[03/01/2025-17:03:11] [TRT] [I] Domain:           
[03/01/2025-17:03:11] [TRT] [I] Model version:    0
[03/01/2025-17:03:11] [TRT] [I] Doc string:       
[03/01/2025-17:03:11] [TRT] [I] ----------------------------------------------------------------
[03/01/2025-17:03:11] [TRT] [W] onnx2trt_utils.cpp:366: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
TensorRT: input "images" with shape(1, 3, 480, 480) DataType.FLOAT
TensorRT: output "output0" with shape(1, 84, 4725) DataType.FLOAT
TensorRT: building FP16 engine as yolo11n.engine
[03/01/2025-17:03:11] [TRT] [I] ---------- Layers Running on DLA ----------
[03/01/2025-17:03:11] [TRT] [I] ---------- Layers Running on GPU ----------
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_0
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_1), Mul_2)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_3
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_4), Mul_5)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_6
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_7), Mul_8)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Split_10
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Split_10_0
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_11
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_12), Mul_13)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_14
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_15), Mul_16), Add_17)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] input.12 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_19
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_20), Mul_21)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_22
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_23), Mul_24)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_25
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_26), Mul_27)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_30
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_31), Mul_32)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_33
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_34), Mul_35), Add_36)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_206 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] input.40 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_38
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_39), Mul_40)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_41
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_42), Mul_43)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_44
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_45), Mul_46)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_49 || Conv_66
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_50), Mul_51)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_67), Mul_68)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_52
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_53), Mul_54)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_55
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_56), Mul_57), Add_58)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_59
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_60), Mul_61)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_62
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_63), Mul_64), Add_65)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_70
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_71), Mul_72)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_226 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] input.68 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_74
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_75), Mul_76)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_77
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_78), Mul_79)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_80
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_81), Mul_82)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_85 || Conv_102
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_86), Mul_87)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_103), Mul_104)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_88
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_89), Mul_90)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_91
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_92), Mul_93), Add_94)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_95
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_96), Mul_97)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_98
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_99), Mul_100), Add_101)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_106
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_107), Mul_108)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_263 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] input.124 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_110
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_111), Mul_112)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_113
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_114), Mul_115)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] MaxPool_116
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] MaxPool_117
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] MaxPool_118
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::MaxPool_295 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::MaxPool_296 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::MaxPool_297 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_298 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_120
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_121), Mul_122)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_123
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_124), Mul_125)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Split_127_4
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_128
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Reshape_129
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Split_131
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Split_131_5
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Split_131_6
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Reshape_140
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] MatMul_133
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Mul_333 + (Unnamed Layer* 136) [Shuffle] + Mul_135
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Softmax_136
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] MatMul_138
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Reshape_139
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_141 + Add_142
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_143 + Add_144
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_145
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_146), Mul_147)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_148 + Add_149
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_307 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_366 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_151
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_152), Mul_153)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Resize_154
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_375 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_156
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_157), Mul_158)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_161
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_162), Mul_163)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_164
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_165), Mul_166), Add_167)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_381 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] input.224 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_169
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_170), Mul_171)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Resize_172
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_398 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_174
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_175), Mul_176)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_179
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_180), Mul_181)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_182
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_183), Mul_184), Add_185)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_404 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] input.252 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_187
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_188), Mul_189)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_190
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_247
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_254
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_191), Mul_192)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_248), Mul_249)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_255), Mul_256)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Resize_393 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_250
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_257
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_194
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_251), Mul_252)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_258), Mul_259)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_195), Mul_196)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_253
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_260
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_199
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_261), Mul_262)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_263
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_200), Mul_201)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_202
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_264), Mul_265)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_266
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_203), Mul_204), Add_205)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_425 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] input.284 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_207
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_208), Mul_209)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Reshape_316
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_210
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_268
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_275
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_211), Mul_212)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_269), Mul_270)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_276), Mul_277)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Resize_370 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_271
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_278
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_214
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_272), Mul_273)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_279), Mul_280)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_215), Mul_216)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_274
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_281
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_219 || Conv_236
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_282), Mul_283)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_284
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_220), Mul_221)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_237), Mul_238)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_222
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_285), Mul_286)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_287
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_223), Mul_224)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_225
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Reshape_320
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_226), Mul_227), Add_228)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_229
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_230), Mul_231)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_232
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(PWN(Sigmoid_233), Mul_234), Add_235)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_240
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_241), Mul_242)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_446 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] input.316 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_244
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_245), Mul_246)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_289
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_296
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_290), Mul_291)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_297), Mul_298)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_292
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_299
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_293), Mul_294)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_300), Mul_301)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_295
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_302
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_303), Mul_304)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_305
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(PWN(Sigmoid_306), Mul_307)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_308
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Reshape_324
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_551 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_561 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_571 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Split_327
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Split_327_11
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Reshape_339 + Transpose_340
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Softmax_341
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Conv_342
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Reshape_348
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Slice_359
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Slice_362
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Sub_620
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Sub_364
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Add_622
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Add_366
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(onnx::Div_625 + (Unnamed Layer* 413) [Shuffle], PWN(Add_367, Div_369))
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Sub_370
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_626 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_627 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Mul_629 + (Unnamed Layer* 418) [Shuffle]
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] Mul_373
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] PWN(Sigmoid_374)
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_630 copy
[03/01/2025-17:03:11] [TRT] [I] [GpuLayer] onnx::Concat_631 copy
[03/01/2025-17:03:11] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 1543, GPU 3480 (MiB)
[03/01/2025-17:03:14] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +241, GPU +274, now: CPU 1784, GPU 3754 (MiB)
[03/01/2025-17:03:14] [TRT] [I] Local timing cache in use. Profiling results in this builder pass will not be stored.
[03/01/2025-17:03:35] [TRT] [I] Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
[03/01/2025-17:09:03] [TRT] [I] Detected 1 inputs and 3 output network tensors.
[03/01/2025-17:09:03] [TRT] [I] Total Host Persistent Memory: 175328
[03/01/2025-17:09:03] [TRT] [I] Total Device Persistent Memory: 9281536
[03/01/2025-17:09:03] [TRT] [I] Total Scratch Memory: 0
[03/01/2025-17:09:03] [TRT] [I] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 5 MiB, GPU 96 MiB
[03/01/2025-17:09:03] [TRT] [I] [BlockAssignment] Algorithm ShiftNTopDown took 230.134ms to assign 10 blocks to 210 nodes requiring 6581761 bytes.
[03/01/2025-17:09:03] [TRT] [I] Total Activation Memory: 6581761
[03/01/2025-17:09:03] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +1, now: CPU 2052, GPU 3893 (MiB)
[03/01/2025-17:09:03] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2052, GPU 3893 (MiB)
[03/01/2025-17:09:03] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +5, GPU +16, now: CPU 5, GPU 16 (MiB)
TensorRT: export success ✅ 378.4s, saved as 'yolo11n.engine' (10.2 MB)

Export complete (386.8s)
Results saved to /ultralytics
Predict:         yolo predict task=detect model=yolo11n.engine imgsz=480 half 
Validate:        yolo val task=detect model=yolo11n.engine imgsz=480 data=/usr/src/ultralytics/ultralytics/cfg/datasets/coco.yaml half 
Visualize:       https://netron.app
Loading yolo11n.engine for TensorRT inference...
[03/01/2025-17:09:04] [TRT] [I] The logger passed into createInferRuntime differs from one already provided for an existing builder, runtime, or refitter. Uses of the global logger, returned by nvinfer1::getLogger(), will return the existing value.

[03/01/2025-17:09:04] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 2029, GPU 3903 (MiB)
[03/01/2025-17:09:04] [TRT] [I] Loaded engine size: 10 MiB
[03/01/2025-17:09:05] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2037, GPU 3875 (MiB)
[03/01/2025-17:09:05] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2037, GPU 3875 (MiB)
[03/01/2025-17:09:05] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +8, now: CPU 0, GPU 8 (MiB)
[03/01/2025-17:09:05] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2047, GPU 3875 (MiB)
[03/01/2025-17:09:05] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2047, GPU 3875 (MiB)
[03/01/2025-17:09:05] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +16, now: CPU 0, GPU 24 (MiB)
Loading yolo11n.engine for TensorRT inference...
[03/01/2025-17:09:06] [TRT] [I] The logger passed into createInferRuntime differs from one already provided for an existing builder, runtime, or refitter. Uses of the global logger, returned by nvinfer1::getLogger(), will return the existing value.

[03/01/2025-17:09:06] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 2055, GPU 3888 (MiB)
[03/01/2025-17:09:06] [TRT] [I] Loaded engine size: 10 MiB
[03/01/2025-17:09:07] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2053, GPU 3888 (MiB)
[03/01/2025-17:09:07] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2053, GPU 3888 (MiB)
[03/01/2025-17:09:07] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +8, now: CPU 0, GPU 32 (MiB)
[03/01/2025-17:09:07] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 2063, GPU 3888 (MiB)
[03/01/2025-17:09:07] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 2063, GPU 3888 (MiB)
[03/01/2025-17:09:07] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +16, now: CPU 0, GPU 48 (MiB)
val: Scanning /datasets/coco8/labels/val.cache... 4 images, 0 backgrounds, 0 corrupt: 100%|██████████| 4/4 [00:00<?, ?it/s]
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 4/4 [00:00<00:00, 12.
                   all          4         17       0.77       0.88      0.942      0.653
Speed: 2.5ms preprocess, 30.3ms inference, 0.0ms loss, 11.4ms postprocess per image
Setup complete ✅ (4 CPUs, 3.9 GB RAM, 20.1/57.1 GB disk)

Benchmarks complete for yolo11n.pt on coco8.yaml at imgsz=480 (390.88s)
Benchmarks legend:  - ✅ Success  - ❎ Export passed but validation failed  - ❌️ Export failed
     Format Status❔  Size (MB)  metrics/mAP50-95(B)  Inference time (ms/im)    FPS
0  TensorRT       ✅       10.2               0.6533                   30.34  32.96

💡 Learn more at https://docs.ultralytics.com/modes/benchmark
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