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Get:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease [1581 B]
Err:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease
  The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC
Get:2 http://security.ubuntu.com/ubuntu focal-security InRelease [114 kB]
Ign:3 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64  InRelease
Hit:4 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64  Release
Hit:6 http://archive.ubuntu.com/ubuntu focal InRelease
Get:7 http://archive.ubuntu.com/ubuntu focal-updates InRelease [114 kB]
Get:8 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [2350 kB]
Get:9 http://archive.ubuntu.com/ubuntu focal-backports InRelease [108 kB]
Get:10 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1273 kB]
Get:11 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [972 kB]
Get:12 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [1887 kB]
Get:13 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [1772 kB]
Get:14 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [27.7 kB]
Get:15 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [2820 kB]
Get:16 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [30.4 kB]
Get:17 http://archive.ubuntu.com/ubuntu focal-backports/main amd64 Packages [55.2 kB]
Get:18 http://archive.ubuntu.com/ubuntu focal-backports/universe amd64 Packages [28.6 kB]
Reading package lists...
W: GPG error: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC
E: The repository 'https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease' is no longer signed.
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
  dbus fontconfig fontconfig-config fonts-dejavu-core i965-va-driver
  intel-media-va-driver libaacs0 libaom0 libapparmor1 libass9 libasyncns0
  libavc1394-0 libavcodec58 libavdevice58 libavfilter7 libavformat58
  libavresample4 libavutil56 libbdplus0 libbluray2 libbs2b0 libbsd0 libcaca0
  libcairo-gobject2 libcairo2 libcdio-cdda2 libcdio-paranoia2 libcdio18
  libchromaprint1 libcodec2-0.9 libdatrie1 libdbus-1-3 libdc1394-22
  libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1
  libdrm2 libedit2 libelf1 libfftw3-double3 libflac8 libflite1 libfontconfig1
  libfreetype6 libfribidi0 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-bin
  libgdk-pixbuf2.0-common libgl1 libgl1-mesa-dri libglapi-mesa libglib2.0-0
  libglib2.0-data libglvnd0 libglx-mesa0 libglx0 libgme0 libgraphite2-3
  libgsm1 libharfbuzz0b libice6 libiec61883-0 libigdgmm11 libjack-jackd2-0
  libjbig0 liblilv-0-0 libllvm12 libmp3lame0 libmpg123-0 libmysofa1 libnorm1
  libnuma1 libopenal-data libopenal1 libopenjp2-7 libopenmpt0 libopus0
  libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpciaccess0
  libpgm-5.2-0 libpixman-1-0 libpostproc55 libpulse0 libraw1394-11 librsvg2-2
  librsvg2-common librubberband2 libsamplerate0 libsdl2-2.0-0
  libsensors-config libsensors5 libserd-0-0 libshine3 libslang2 libsnappy1v5
  libsndfile1 libsndio7.0 libsodium23 libsord-0-0 libsoxr0 libspeex1
  libsratom-0-0 libssh-gcrypt-4 libswresample3 libswscale5 libthai-data
  libthai0 libtheora0 libtiff5 libtwolame0 libusb-1.0-0 libva-drm2 libva-x11-2
  libva2 libvdpau1 libvidstab1.1 libvorbisenc2 libvpx6 libvulkan1 libwavpack1
  libwayland-client0 libwayland-cursor0 libwayland-egl1 libwebp6 libwebpmux3
  libwrap0 libx11-6 libx11-data libx11-xcb1 libx264-155 libx265-179 libxau6
  libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-randr0
  libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1 libxcb-xfixes0 libxcb1
  libxcursor1 libxdmcp6 libxfixes3 libxi6 libxinerama1 libxkbcommon0
  libxrandr2 libxrender1 libxshmfence1 libxss1 libxv1 libxvidcore4 libxxf86vm1
  libzmq5 libzvbi-common libzvbi0 mesa-va-drivers mesa-vdpau-drivers
  mesa-vulkan-drivers ocl-icd-libopencl1 shared-mime-info ucf va-driver-all
  vdpau-driver-all x11-common xdg-user-dirs xkb-data
Suggested packages:
  default-dbus-session-bus | dbus-session-bus ffmpeg-doc
  i965-va-driver-shaders libbluray-bdj libfftw3-bin libfftw3-dev jackd2
  libportaudio2 opus-tools pciutils pulseaudio libraw1394-doc librsvg2-bin
  lm-sensors serdi sndiod sordi speex opencl-icd libvdpau-va-gl1
  nvidia-vdpau-driver nvidia-legacy-340xx-vdpau-driver
  nvidia-legacy-304xx-vdpau-driver
The following NEW packages will be installed:
  dbus ffmpeg fontconfig fontconfig-config fonts-dejavu-core i965-va-driver
  intel-media-va-driver libaacs0 libaom0 libapparmor1 libass9 libasyncns0
  libavc1394-0 libavcodec58 libavdevice58 libavfilter7 libavformat58
  libavresample4 libavutil56 libbdplus0 libbluray2 libbs2b0 libbsd0 libcaca0
  libcairo-gobject2 libcairo2 libcdio-cdda2 libcdio-paranoia2 libcdio18
  libchromaprint1 libcodec2-0.9 libdatrie1 libdbus-1-3 libdc1394-22
  libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1
  libdrm2 libedit2 libelf1 libfftw3-double3 libflac8 libflite1 libfontconfig1
  libfreetype6 libfribidi0 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-bin
  libgdk-pixbuf2.0-common libgl1 libgl1-mesa-dri libglapi-mesa libglib2.0-0
  libglib2.0-data libglvnd0 libglx-mesa0 libglx0 libgme0 libgraphite2-3
  libgsm1 libharfbuzz0b libice6 libiec61883-0 libigdgmm11 libjack-jackd2-0
  libjbig0 liblilv-0-0 libllvm12 libmp3lame0 libmpg123-0 libmysofa1 libnorm1
  libnuma1 libopenal-data libopenal1 libopenjp2-7 libopenmpt0 libopus0
  libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpciaccess0
  libpgm-5.2-0 libpixman-1-0 libpostproc55 libpulse0 libraw1394-11 librsvg2-2
  librsvg2-common librubberband2 libsamplerate0 libsdl2-2.0-0
  libsensors-config libsensors5 libserd-0-0 libshine3 libslang2 libsm6
  libsnappy1v5 libsndfile1 libsndio7.0 libsodium23 libsord-0-0 libsoxr0
  libspeex1 libsratom-0-0 libssh-gcrypt-4 libswresample3 libswscale5
  libthai-data libthai0 libtheora0 libtiff5 libtwolame0 libusb-1.0-0
  libva-drm2 libva-x11-2 libva2 libvdpau1 libvidstab1.1 libvorbisenc2 libvpx6
  libvulkan1 libwavpack1 libwayland-client0 libwayland-cursor0 libwayland-egl1
  libwebp6 libwebpmux3 libwrap0 libx11-6 libx11-data libx11-xcb1 libx264-155
  libx265-179 libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0
  libxcb-randr0 libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1
  libxcb-xfixes0 libxcb1 libxcursor1 libxdmcp6 libxext6 libxfixes3 libxi6
  libxinerama1 libxkbcommon0 libxrandr2 libxrender1 libxshmfence1 libxss1
  libxv1 libxvidcore4 libxxf86vm1 libzmq5 libzvbi-common libzvbi0
  mesa-va-drivers mesa-vdpau-drivers mesa-vulkan-drivers ocl-icd-libopencl1
  shared-mime-info ucf va-driver-all vdpau-driver-all x11-common xdg-user-dirs
  xkb-data
0 upgraded, 177 newly installed, 0 to remove and 149 not upgraded.
Need to get 97.3 MB of archives.
After this operation, 788 MB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libapparmor1 amd64 2.13.3-7ubuntu5.1 [34.1 kB]
Get:2 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdbus-1-3 amd64 1.12.16-2ubuntu2.3 [179 kB]
Get:3 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 dbus amd64 1.12.16-2ubuntu2.3 [151 kB]
Get:4 http://archive.ubuntu.com/ubuntu focal/main amd64 libbsd0 amd64 0.10.0-1 [45.4 kB]
Get:5 http://archive.ubuntu.com/ubuntu focal/main amd64 libelf1 amd64 0.176-1.1build1 [44.0 kB]
Get:6 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libfribidi0 amd64 1.0.8-2ubuntu0.1 [24.2 kB]
Get:7 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglib2.0-0 amd64 2.64.6-1~ubuntu20.04.4 [1287 kB]
Get:8 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglib2.0-data all 2.64.6-1~ubuntu20.04.4 [6052 B]
Get:9 http://archive.ubuntu.com/ubuntu focal/main amd64 libslang2 amd64 2.3.2-4 [429 kB]
Get:10 http://archive.ubuntu.com/ubuntu focal/main amd64 libsodium23 amd64 1.0.18-1 [150 kB]
Get:11 http://archive.ubuntu.com/ubuntu focal/main amd64 shared-mime-info amd64 1.15-1 [430 kB]
Get:12 http://archive.ubuntu.com/ubuntu focal/main amd64 ucf all 3.0038+nmu1 [51.6 kB]
Get:13 http://archive.ubuntu.com/ubuntu focal/main amd64 xdg-user-dirs amd64 0.17-2ubuntu1 [48.3 kB]
Get:14 http://archive.ubuntu.com/ubuntu focal/main amd64 xkb-data all 2.29-2 [349 kB]
Get:15 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-common all 2.4.107-8ubuntu1~20.04.2 [5396 B]
Get:16 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm2 amd64 2.4.107-8ubuntu1~20.04.2 [34.1 kB]
Get:17 http://archive.ubuntu.com/ubuntu focal/main amd64 libedit2 amd64 3.1-20191231-1 [87.0 kB]
Get:18 http://archive.ubuntu.com/ubuntu focal/main amd64 libnuma1 amd64 2.0.12-1 [20.8 kB]
Get:19 http://archive.ubuntu.com/ubuntu focal/main amd64 libusb-1.0-0 amd64 2:1.0.23-2build1 [46.5 kB]
Get:20 http://archive.ubuntu.com/ubuntu focal/main amd64 libxau6 amd64 1:1.0.9-0ubuntu1 [7488 B]
Get:21 http://archive.ubuntu.com/ubuntu focal/main amd64 libxdmcp6 amd64 1:1.1.3-0ubuntu1 [10.6 kB]
Get:22 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb1 amd64 1.14-2 [44.7 kB]
Get:23 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libx11-data all 2:1.6.9-2ubuntu1.2 [113 kB]
Get:24 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libx11-6 amd64 2:1.6.9-2ubuntu1.2 [575 kB]
Get:25 http://archive.ubuntu.com/ubuntu focal/main amd64 libxext6 amd64 2:1.3.4-0ubuntu1 [29.1 kB]
Get:26 http://archive.ubuntu.com/ubuntu focal/universe amd64 libaom0 amd64 1.0.0.errata1-3build1 [1160 kB]
Get:27 http://archive.ubuntu.com/ubuntu focal/universe amd64 libva2 amd64 2.7.0-2 [53.5 kB]
Get:28 http://archive.ubuntu.com/ubuntu focal/universe amd64 libva-drm2 amd64 2.7.0-2 [7044 B]
Get:29 http://archive.ubuntu.com/ubuntu focal/main amd64 libxfixes3 amd64 1:5.0.3-2 [10.9 kB]
Get:30 http://archive.ubuntu.com/ubuntu focal/universe amd64 libva-x11-2 amd64 2.7.0-2 [11.9 kB]
Get:31 http://archive.ubuntu.com/ubuntu focal/main amd64 libvdpau1 amd64 1.3-1ubuntu2 [25.6 kB]
Get:32 http://archive.ubuntu.com/ubuntu focal/main amd64 ocl-icd-libopencl1 amd64 2.2.11-1ubuntu1 [30.3 kB]
Get:33 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavutil56 amd64 7:4.2.7-0ubuntu0.1 [241 kB]
Get:34 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libfreetype6 amd64 2.10.1-2ubuntu0.2 [341 kB]
Get:35 http://archive.ubuntu.com/ubuntu focal/main amd64 fonts-dejavu-core all 2.37-1 [1041 kB]
Get:36 http://archive.ubuntu.com/ubuntu focal/main amd64 fontconfig-config all 2.13.1-2ubuntu3 [28.8 kB]
Get:37 http://archive.ubuntu.com/ubuntu focal/main amd64 libfontconfig1 amd64 2.13.1-2ubuntu3 [114 kB]
Get:38 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libpixman-1-0 amd64 0.38.4-0ubuntu2.1 [227 kB]
Get:39 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-render0 amd64 1.14-2 [14.8 kB]
Get:40 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-shm0 amd64 1.14-2 [5584 B]
Get:41 http://archive.ubuntu.com/ubuntu focal/main amd64 libxrender1 amd64 1:0.9.10-1 [18.7 kB]
Get:42 http://archive.ubuntu.com/ubuntu focal/main amd64 libcairo2 amd64 1.16.0-4ubuntu1 [583 kB]
Get:43 http://archive.ubuntu.com/ubuntu focal/universe amd64 libcodec2-0.9 amd64 0.9.2-2 [7886 kB]
Get:44 http://archive.ubuntu.com/ubuntu focal/universe amd64 libgsm1 amd64 1.0.18-2 [24.4 kB]
Get:45 http://archive.ubuntu.com/ubuntu focal/main amd64 libmp3lame0 amd64 3.100-3 [133 kB]
Get:46 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libopenjp2-7 amd64 2.3.1-1ubuntu4.20.04.1 [141 kB]
Get:47 http://archive.ubuntu.com/ubuntu focal/main amd64 libopus0 amd64 1.3.1-0ubuntu1 [191 kB]
Get:48 http://archive.ubuntu.com/ubuntu focal/main amd64 libcairo-gobject2 amd64 1.16.0-4ubuntu1 [17.2 kB]
Get:49 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libjbig0 amd64 2.1-3.1ubuntu0.20.04.1 [27.3 kB]
Get:50 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwebp6 amd64 0.6.1-2ubuntu0.20.04.1 [185 kB]
Get:51 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libtiff5 amd64 4.1.0+git191117-2ubuntu0.20.04.7 [163 kB]
Get:52 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgdk-pixbuf2.0-common all 2.40.0+dfsg-3ubuntu0.4 [4592 B]
Get:53 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgdk-pixbuf2.0-0 amd64 2.40.0+dfsg-3ubuntu0.4 [168 kB]
Get:54 http://archive.ubuntu.com/ubuntu focal/main amd64 fontconfig amd64 2.13.1-2ubuntu3 [171 kB]
Get:55 http://archive.ubuntu.com/ubuntu focal/main amd64 libgraphite2-3 amd64 1.3.13-11build1 [73.5 kB]
Get:56 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libharfbuzz0b amd64 2.6.4-1ubuntu4.2 [391 kB]
Get:57 http://archive.ubuntu.com/ubuntu focal/main amd64 libthai-data all 0.1.28-3 [134 kB]
Get:58 http://archive.ubuntu.com/ubuntu focal/main amd64 libdatrie1 amd64 0.2.12-3 [18.7 kB]
Get:59 http://archive.ubuntu.com/ubuntu focal/main amd64 libthai0 amd64 0.1.28-3 [18.1 kB]
Get:60 http://archive.ubuntu.com/ubuntu focal/main amd64 libpango-1.0-0 amd64 1.44.7-2ubuntu4 [162 kB]
Get:61 http://archive.ubuntu.com/ubuntu focal/main amd64 libpangoft2-1.0-0 amd64 1.44.7-2ubuntu4 [34.9 kB]
Get:62 http://archive.ubuntu.com/ubuntu focal/main amd64 libpangocairo-1.0-0 amd64 1.44.7-2ubuntu4 [24.8 kB]
Get:63 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 librsvg2-2 amd64 2.48.9-1ubuntu0.20.04.1 [2253 kB]
Get:64 http://archive.ubuntu.com/ubuntu focal/universe amd64 libshine3 amd64 3.1.1-2 [23.2 kB]
Get:65 http://archive.ubuntu.com/ubuntu focal/main amd64 libsnappy1v5 amd64 1.1.8-1build1 [16.7 kB]
Get:66 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libspeex1 amd64 1.2~rc1.2-1.1ubuntu1.20.04.1 [53.2 kB]
Get:67 http://archive.ubuntu.com/ubuntu focal/main amd64 libsoxr0 amd64 0.1.3-2build1 [78.0 kB]
Get:68 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libswresample3 amd64 7:4.2.7-0ubuntu0.1 [57.1 kB]
Get:69 http://archive.ubuntu.com/ubuntu focal/main amd64 libtheora0 amd64 1.1.1+dfsg.1-15ubuntu2 [162 kB]
Get:70 http://archive.ubuntu.com/ubuntu focal/main amd64 libtwolame0 amd64 0.4.0-2 [47.6 kB]
Get:71 http://archive.ubuntu.com/ubuntu focal/main amd64 libvorbisenc2 amd64 1.3.6-2ubuntu1 [70.7 kB]
Get:72 http://archive.ubuntu.com/ubuntu focal/main amd64 libvpx6 amd64 1.8.2-1build1 [820 kB]
Get:73 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwavpack1 amd64 5.2.0-1ubuntu0.1 [77.3 kB]
Get:74 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwebpmux3 amd64 0.6.1-2ubuntu0.20.04.1 [19.5 kB]
Get:75 http://archive.ubuntu.com/ubuntu focal/universe amd64 libx264-155 amd64 2:0.155.2917+git0a84d98-2 [521 kB]
Get:76 http://archive.ubuntu.com/ubuntu focal/universe amd64 libx265-179 amd64 3.2.1-1build1 [1060 kB]
Get:77 http://archive.ubuntu.com/ubuntu focal/universe amd64 libxvidcore4 amd64 2:1.3.7-1 [201 kB]
Get:78 http://archive.ubuntu.com/ubuntu focal/universe amd64 libzvbi-common all 0.2.35-17 [32.5 kB]
Get:79 http://archive.ubuntu.com/ubuntu focal/universe amd64 libzvbi0 amd64 0.2.35-17 [237 kB]
Get:80 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavcodec58 amd64 7:4.2.7-0ubuntu0.1 [4878 kB]
Get:81 http://archive.ubuntu.com/ubuntu focal/main amd64 libraw1394-11 amd64 2.1.2-1 [30.7 kB]
Get:82 http://archive.ubuntu.com/ubuntu focal/main amd64 libavc1394-0 amd64 0.5.4-5 [16.2 kB]
Get:83 http://archive.ubuntu.com/ubuntu focal/universe amd64 libass9 amd64 1:0.14.0-2 [88.0 kB]
Get:84 http://archive.ubuntu.com/ubuntu focal/universe amd64 libbluray2 amd64 1:1.2.0-1 [138 kB]
Get:85 http://archive.ubuntu.com/ubuntu focal/universe amd64 libchromaprint1 amd64 1.4.3-3build1 [37.6 kB]
Get:86 http://archive.ubuntu.com/ubuntu focal/universe amd64 libgme0 amd64 0.6.2-1build1 [123 kB]
Get:87 http://archive.ubuntu.com/ubuntu focal/main amd64 libmpg123-0 amd64 1.25.13-1 [124 kB]
Get:88 http://archive.ubuntu.com/ubuntu focal/universe amd64 libopenmpt0 amd64 0.4.11-1build1 [599 kB]
Get:89 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libssh-gcrypt-4 amd64 0.9.3-2ubuntu2.2 [202 kB]
Get:90 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavformat58 amd64 7:4.2.7-0ubuntu0.1 [985 kB]
Get:91 http://archive.ubuntu.com/ubuntu focal/universe amd64 libbs2b0 amd64 3.1.0+dfsg-2.2build1 [10.2 kB]
Get:92 http://archive.ubuntu.com/ubuntu focal/universe amd64 libflite1 amd64 2.1-release-3 [12.8 MB]
Get:93 http://archive.ubuntu.com/ubuntu focal/universe amd64 libserd-0-0 amd64 0.30.2-1 [46.6 kB]
Get:94 http://archive.ubuntu.com/ubuntu focal/universe amd64 libsord-0-0 amd64 0.16.4-1 [19.5 kB]
Get:95 http://archive.ubuntu.com/ubuntu focal/universe amd64 libsratom-0-0 amd64 0.6.4-1 [16.9 kB]
Get:96 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 liblilv-0-0 amd64 0.24.6-1ubuntu0.1 [40.6 kB]
Get:97 http://archive.ubuntu.com/ubuntu focal/universe amd64 libmysofa1 amd64 1.0~dfsg0-1 [39.2 kB]
Get:98 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libpostproc55 amd64 7:4.2.7-0ubuntu0.1 [55.0 kB]
Get:99 http://archive.ubuntu.com/ubuntu focal/main amd64 libfftw3-double3 amd64 3.3.8-2ubuntu1 [728 kB]
Get:100 http://archive.ubuntu.com/ubuntu focal/main amd64 libsamplerate0 amd64 0.1.9-2 [939 kB]
Get:101 http://archive.ubuntu.com/ubuntu focal/universe amd64 librubberband2 amd64 1.8.2-1build1 [89.4 kB]
Get:102 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libswscale5 amd64 7:4.2.7-0ubuntu0.1 [157 kB]
Get:103 http://archive.ubuntu.com/ubuntu focal/universe amd64 libvidstab1.1 amd64 1.1.0-2 [35.0 kB]
Get:104 http://archive.ubuntu.com/ubuntu focal/universe amd64 libnorm1 amd64 1.5.8+dfsg2-2build1 [290 kB]
Get:105 http://archive.ubuntu.com/ubuntu focal/universe amd64 libpgm-5.2-0 amd64 5.2.122~dfsg-3ubuntu1 [158 kB]
Get:106 http://archive.ubuntu.com/ubuntu focal/universe amd64 libzmq5 amd64 4.3.2-2ubuntu1 [242 kB]
Get:107 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavfilter7 amd64 7:4.2.7-0ubuntu0.1 [1085 kB]
Get:108 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libcaca0 amd64 0.99.beta19-2.1ubuntu1.20.04.2 [203 kB]
Get:109 http://archive.ubuntu.com/ubuntu focal/main amd64 libcdio18 amd64 2.0.0-2 [58.6 kB]
Get:110 http://archive.ubuntu.com/ubuntu focal/main amd64 libcdio-cdda2 amd64 10.2+2.0.0-1 [17.6 kB]
Get:111 http://archive.ubuntu.com/ubuntu focal/main amd64 libcdio-paranoia2 amd64 10.2+2.0.0-1 [16.2 kB]
Get:112 http://archive.ubuntu.com/ubuntu focal/universe amd64 libdc1394-22 amd64 2.2.5-2.1 [79.6 kB]
Get:113 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglvnd0 amd64 1.3.2-1~ubuntu0.20.04.2 [48.1 kB]
Get:114 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglapi-mesa amd64 21.2.6-0ubuntu0.1~20.04.2 [27.4 kB]
Get:115 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libx11-xcb1 amd64 2:1.6.9-2ubuntu1.2 [9372 B]
Get:116 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-dri2-0 amd64 1.14-2 [6920 B]
Get:117 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-dri3-0 amd64 1.14-2 [6552 B]
Get:118 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-glx0 amd64 1.14-2 [22.1 kB]
Get:119 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-present0 amd64 1.14-2 [5560 B]
Get:120 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-sync1 amd64 1.14-2 [8884 B]
Get:121 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-xfixes0 amd64 1.14-2 [9296 B]
Get:122 http://archive.ubuntu.com/ubuntu focal/main amd64 libxshmfence1 amd64 1.3-1 [5028 B]
Get:123 http://archive.ubuntu.com/ubuntu focal/main amd64 libxxf86vm1 amd64 1:1.1.4-1build1 [10.2 kB]
Get:124 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-amdgpu1 amd64 2.4.107-8ubuntu1~20.04.2 [18.6 kB]
Get:125 http://archive.ubuntu.com/ubuntu focal/main amd64 libpciaccess0 amd64 0.16-0ubuntu1 [17.9 kB]
Get:126 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-intel1 amd64 2.4.107-8ubuntu1~20.04.2 [60.3 kB]
Get:127 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-nouveau2 amd64 2.4.107-8ubuntu1~20.04.2 [16.6 kB]
Get:128 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-radeon1 amd64 2.4.107-8ubuntu1~20.04.2 [19.7 kB]
Get:129 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libllvm12 amd64 1:12.0.0-3ubuntu1~20.04.5 [18.8 MB]
Get:130 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libsensors-config all 1:3.6.0-2ubuntu1.1 [6052 B]
Get:131 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libsensors5 amd64 1:3.6.0-2ubuntu1.1 [27.2 kB]
Get:132 http://archive.ubuntu.com/ubuntu focal/main amd64 libvulkan1 amd64 1.2.131.2-1 [93.3 kB]
Get:133 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgl1-mesa-dri amd64 21.2.6-0ubuntu0.1~20.04.2 [11.0 MB]
Get:134 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglx-mesa0 amd64 21.2.6-0ubuntu0.1~20.04.2 [137 kB]
Get:135 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglx0 amd64 1.3.2-1~ubuntu0.20.04.2 [32.5 kB]
Get:136 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgl1 amd64 1.3.2-1~ubuntu0.20.04.2 [85.8 kB]
Get:137 http://archive.ubuntu.com/ubuntu focal/main amd64 libiec61883-0 amd64 1.2.0-3 [24.3 kB]
Get:138 http://archive.ubuntu.com/ubuntu focal/main amd64 libjack-jackd2-0 amd64 1.9.12~dfsg-2ubuntu2 [267 kB]
Get:139 http://archive.ubuntu.com/ubuntu focal/universe amd64 libopenal-data all 1:1.19.1-1 [162 kB]
Get:140 http://archive.ubuntu.com/ubuntu focal/universe amd64 libsndio7.0 amd64 1.5.0-3 [24.5 kB]
Get:141 http://archive.ubuntu.com/ubuntu focal/universe amd64 libopenal1 amd64 1:1.19.1-1 [492 kB]
Get:142 http://archive.ubuntu.com/ubuntu focal/main amd64 libasyncns0 amd64 0.8-6 [12.1 kB]
Get:143 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libflac8 amd64 1.3.3-1ubuntu0.1 [103 kB]
Get:144 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libsndfile1 amd64 1.0.28-7ubuntu0.1 [170 kB]
Get:145 http://archive.ubuntu.com/ubuntu focal/main amd64 libwrap0 amd64 7.6.q-30 [46.3 kB]
Get:146 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libpulse0 amd64 1:13.99.1-1ubuntu3.13 [262 kB]
Get:147 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwayland-client0 amd64 1.18.0-1ubuntu0.1 [23.9 kB]
Get:148 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwayland-cursor0 amd64 1.18.0-1ubuntu0.1 [10.3 kB]
Get:149 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwayland-egl1 amd64 1.18.0-1ubuntu0.1 [5596 B]
Get:150 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcursor1 amd64 1:1.2.0-2 [20.1 kB]
Get:151 http://archive.ubuntu.com/ubuntu focal/main amd64 libxi6 amd64 2:1.7.10-0ubuntu1 [29.9 kB]
Get:152 http://archive.ubuntu.com/ubuntu focal/main amd64 libxinerama1 amd64 2:1.1.4-2 [6904 B]
Get:153 http://archive.ubuntu.com/ubuntu focal/main amd64 libxkbcommon0 amd64 0.10.0-1 [98.4 kB]
Get:154 http://archive.ubuntu.com/ubuntu focal/main amd64 libxrandr2 amd64 2:1.5.2-0ubuntu1 [18.5 kB]
Get:155 http://archive.ubuntu.com/ubuntu focal/main amd64 x11-common all 1:7.7+19ubuntu14 [22.3 kB]
Get:156 http://archive.ubuntu.com/ubuntu focal/main amd64 libxss1 amd64 1:1.2.3-1 [8140 B]
Get:157 http://archive.ubuntu.com/ubuntu focal/universe amd64 libsdl2-2.0-0 amd64 2.0.10+dfsg1-3 [407 kB]
Get:158 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-shape0 amd64 1.14-2 [5928 B]
Get:159 http://archive.ubuntu.com/ubuntu focal/main amd64 libxv1 amd64 2:1.0.11-1 [10.7 kB]
Get:160 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavdevice58 amd64 7:4.2.7-0ubuntu0.1 [74.3 kB]
Get:161 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavresample4 amd64 7:4.2.7-0ubuntu0.1 [54.2 kB]
Get:162 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 ffmpeg amd64 7:4.2.7-0ubuntu0.1 [1453 kB]
Get:163 http://archive.ubuntu.com/ubuntu focal/universe amd64 libigdgmm11 amd64 20.1.1+ds1-1 [111 kB]
Get:164 http://archive.ubuntu.com/ubuntu focal/universe amd64 intel-media-va-driver amd64 20.1.1+dfsg1-1 [1764 kB]
Get:165 http://archive.ubuntu.com/ubuntu focal/universe amd64 libaacs0 amd64 0.9.0-2 [50.1 kB]
Get:166 http://archive.ubuntu.com/ubuntu focal/universe amd64 libbdplus0 amd64 0.1.2-3 [47.3 kB]
Get:167 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgdk-pixbuf2.0-bin amd64 2.40.0+dfsg-3ubuntu0.4 [14.1 kB]
Get:168 http://archive.ubuntu.com/ubuntu focal/main amd64 libice6 amd64 2:1.0.10-0ubuntu1 [41.0 kB]
Get:169 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 librsvg2-common amd64 2.48.9-1ubuntu0.20.04.1 [9212 B]
Get:170 http://archive.ubuntu.com/ubuntu focal/main amd64 libsm6 amd64 2:1.2.3-1 [16.1 kB]
Get:171 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-randr0 amd64 1.14-2 [16.3 kB]
Get:172 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 mesa-va-drivers amd64 21.2.6-0ubuntu0.1~20.04.2 [2970 kB]
Get:173 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 mesa-vdpau-drivers amd64 21.2.6-0ubuntu0.1~20.04.2 [3089 kB]
Get:174 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 mesa-vulkan-drivers amd64 21.2.6-0ubuntu0.1~20.04.2 [5788 kB]
Get:175 http://archive.ubuntu.com/ubuntu focal/universe amd64 i965-va-driver amd64 2.4.0-0ubuntu1 [924 kB]
Get:176 http://archive.ubuntu.com/ubuntu focal/universe amd64 va-driver-all amd64 2.7.0-2 [4020 B]
Get:177 http://archive.ubuntu.com/ubuntu focal/main amd64 vdpau-driver-all amd64 1.3-1ubuntu2 [4596 B]
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update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults
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Setting up libdrm-amdgpu1:amd64 (2.4.107-8ubuntu1~20.04.2) ...
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Setting up mesa-vulkan-drivers:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
Setting up fontconfig (2.13.1-2ubuntu3) ...
Regenerating fonts cache... done.
Setting up libdrm-nouveau2:amd64 (2.4.107-8ubuntu1~20.04.2) ...
Setting up libxrender1:amd64 (1:0.9.10-1) ...
Setting up libpulse0:amd64 (1:13.99.1-1ubuntu3.13) ...
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Setting up libpango-1.0-0:amd64 (1.44.7-2ubuntu4) ...
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Setting up libcairo2:amd64 (1.16.0-4ubuntu1) ...
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Setting up libgdk-pixbuf2.0-0:amd64 (2.40.0+dfsg-3ubuntu0.4) ...
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Setting up libgdk-pixbuf2.0-bin (2.40.0+dfsg-3ubuntu0.4) ...
Setting up libvdpau1:amd64 (1.3-1ubuntu2) ...
Setting up libtheora0:amd64 (1.1.1+dfsg.1-15ubuntu2) ...
Setting up libcairo-gobject2:amd64 (1.16.0-4ubuntu1) ...
Setting up libxss1:amd64 (1:1.2.3-1) ...
Setting up mesa-va-drivers:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
Setting up libpangoft2-1.0-0:amd64 (1.44.7-2ubuntu4) ...
Setting up libva-x11-2:amd64 (2.7.0-2) ...
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Setting up mesa-vdpau-drivers:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
Setting up libglx-mesa0:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
Setting up libxi6:amd64 (2:1.7.10-0ubuntu1) ...
Setting up libglx0:amd64 (1.3.2-1~ubuntu0.20.04.2) ...
Setting up libxcursor1:amd64 (1:1.2.0-2) ...
Setting up libavutil56:amd64 (7:4.2.7-0ubuntu0.1) ...
Setting up librsvg2-2:amd64 (2.48.9-1ubuntu0.20.04.1) ...
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Setting up libavcodec58:amd64 (7:4.2.7-0ubuntu0.1) ...
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Setting up libavformat58:amd64 (7:4.2.7-0ubuntu0.1) ...
Setting up libavfilter7:amd64 (7:4.2.7-0ubuntu0.1) ...
Setting up libavdevice58:amd64 (7:4.2.7-0ubuntu0.1) ...
Setting up ffmpeg (7:4.2.7-0ubuntu0.1) ...
Processing triggers for libc-bin (2.31-0ubuntu9.1) ...
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-opencl.so.465.19.01 is empty, not checked.
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libcuda.so.465.19.01 is empty, not checked.
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/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-allocator.so.1 is empty, not checked.
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/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-ml.so.465.19.01 is empty, not checked.
Processing triggers for libgdk-pixbuf2.0-0:amd64 (2.40.0+dfsg-3ubuntu0.4) ...
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
  at-spi2-core ca-certificates-java default-jre-headless fonts-dejavu-extra
  java-common libatk-bridge2.0-0 libatk-wrapper-java libatk-wrapper-java-jni
  libatk1.0-0 libatk1.0-data libatspi2.0-0 libavahi-client3
  libavahi-common-data libavahi-common3 libcups2 libfontenc1 libgif7
  liblcms2-2 libnspr4 libnss3 libpcsclite1 libxaw7 libxcomposite1 libxft2
  libxkbfile1 libxmu6 libxmuu1 libxpm4 libxt6 libxtst6 libxxf86dga1
  openjdk-11-jre openjdk-11-jre-headless x11-utils
Suggested packages:
  cups-common liblcms2-utils pcscd libnss-mdns fonts-ipafont-gothic
  fonts-ipafont-mincho fonts-wqy-microhei | fonts-wqy-zenhei fonts-indic
  mesa-utils
The following NEW packages will be installed:
  at-spi2-core ca-certificates-java default-jre default-jre-headless
  fonts-dejavu-extra java-common libatk-bridge2.0-0 libatk-wrapper-java
  libatk-wrapper-java-jni libatk1.0-0 libatk1.0-data libatspi2.0-0
  libavahi-client3 libavahi-common-data libavahi-common3 libcups2 libfontenc1
  libgif7 liblcms2-2 libnspr4 libnss3 libpcsclite1 libxaw7 libxcomposite1
  libxft2 libxkbfile1 libxmu6 libxmuu1 libxpm4 libxt6 libxtst6 libxxf86dga1
  openjdk-11-jre openjdk-11-jre-headless x11-utils
0 upgraded, 35 newly installed, 0 to remove and 149 not upgraded.
Need to get 42.5 MB of archives.
After this operation, 189 MB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu focal/main amd64 libxmuu1 amd64 2:1.1.3-0ubuntu1 [9728 B]
Get:2 http://archive.ubuntu.com/ubuntu focal/main amd64 libatspi2.0-0 amd64 2.36.0-2 [64.2 kB]
Get:3 http://archive.ubuntu.com/ubuntu focal/main amd64 libxtst6 amd64 2:1.2.3-1 [12.8 kB]
Get:4 http://archive.ubuntu.com/ubuntu focal/main amd64 at-spi2-core amd64 2.36.0-2 [48.7 kB]
Get:5 http://archive.ubuntu.com/ubuntu focal/main amd64 java-common all 0.72 [6816 B]
Get:6 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libavahi-common-data amd64 0.7-4ubuntu7.1 [21.4 kB]
Get:7 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libavahi-common3 amd64 0.7-4ubuntu7.1 [21.7 kB]
Get:8 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libavahi-client3 amd64 0.7-4ubuntu7.1 [25.5 kB]
Get:9 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libcups2 amd64 2.3.1-9ubuntu1.2 [233 kB]
Get:10 http://archive.ubuntu.com/ubuntu focal/main amd64 liblcms2-2 amd64 2.9-4 [140 kB]
Get:11 http://archive.ubuntu.com/ubuntu focal/main amd64 libnspr4 amd64 2:4.25-1 [107 kB]
Get:12 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libnss3 amd64 2:3.49.1-1ubuntu1.8 [1256 kB]
Get:13 http://archive.ubuntu.com/ubuntu focal/main amd64 libpcsclite1 amd64 1.8.26-3 [22.0 kB]
Get:14 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 openjdk-11-jre-headless amd64 11.0.17+8-1ubuntu2~20.04 [37.4 MB]
Get:15 http://archive.ubuntu.com/ubuntu focal/main amd64 default-jre-headless amd64 2:1.11-72 [3192 B]
Get:16 http://archive.ubuntu.com/ubuntu focal/main amd64 ca-certificates-java all 20190405ubuntu1 [12.2 kB]
Get:17 http://archive.ubuntu.com/ubuntu focal/main amd64 libgif7 amd64 5.1.9-1 [32.2 kB]
Get:18 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 openjdk-11-jre amd64 11.0.17+8-1ubuntu2~20.04 [175 kB]
Get:19 http://archive.ubuntu.com/ubuntu focal/main amd64 default-jre amd64 2:1.11-72 [1084 B]
Get:20 http://archive.ubuntu.com/ubuntu focal/main amd64 fonts-dejavu-extra all 2.37-1 [1953 kB]
Get:21 http://archive.ubuntu.com/ubuntu focal/main amd64 libatk1.0-data all 2.35.1-1ubuntu2 [2964 B]
Get:22 http://archive.ubuntu.com/ubuntu focal/main amd64 libatk1.0-0 amd64 2.35.1-1ubuntu2 [45.5 kB]
Get:23 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libatk-bridge2.0-0 amd64 2.34.2-0ubuntu2~20.04.1 [58.2 kB]
Get:24 http://archive.ubuntu.com/ubuntu focal/main amd64 libfontenc1 amd64 1:1.1.4-0ubuntu1 [14.0 kB]
Get:25 http://archive.ubuntu.com/ubuntu focal/main amd64 libxt6 amd64 1:1.1.5-1 [160 kB]
Get:26 http://archive.ubuntu.com/ubuntu focal/main amd64 libxmu6 amd64 2:1.1.3-0ubuntu1 [45.8 kB]
Get:27 http://archive.ubuntu.com/ubuntu focal/main amd64 libxpm4 amd64 1:3.5.12-1 [34.0 kB]
Get:28 http://archive.ubuntu.com/ubuntu focal/main amd64 libxaw7 amd64 2:1.0.13-1 [173 kB]
Get:29 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcomposite1 amd64 1:0.4.5-1 [6976 B]
Get:30 http://archive.ubuntu.com/ubuntu focal/main amd64 libxft2 amd64 2.3.3-0ubuntu1 [39.2 kB]
Get:31 http://archive.ubuntu.com/ubuntu focal/main amd64 libxkbfile1 amd64 1:1.1.0-1 [65.3 kB]
Get:32 http://archive.ubuntu.com/ubuntu focal/main amd64 libxxf86dga1 amd64 2:1.1.5-0ubuntu1 [12.0 kB]
Get:33 http://archive.ubuntu.com/ubuntu focal/main amd64 x11-utils amd64 7.7+5 [199 kB]
Get:34 http://archive.ubuntu.com/ubuntu focal/main amd64 libatk-wrapper-java all 0.37.1-1 [53.0 kB]
Get:35 http://archive.ubuntu.com/ubuntu focal/main amd64 libatk-wrapper-java-jni amd64 0.37.1-1 [45.1 kB]
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update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/java to provide /usr/bin/java (java) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/jjs to provide /usr/bin/jjs (jjs) in auto mode
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update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/unpack200 to provide /usr/bin/unpack200 (unpack200) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/lib/jexec to provide /usr/bin/jexec (jexec) in auto mode
Setting up openjdk-11-jre:amd64 (11.0.17+8-1ubuntu2~20.04) ...
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Setting up ca-certificates-java (20190405ubuntu1) ...
head: cannot open '/etc/ssl/certs/java/cacerts' for reading: No such file or directory
Adding debian:Autoridad_de_Certificacion_Firmaprofesional_CIF_A62634068.pem
Adding debian:Trustwave_Global_ECC_P384_Certification_Authority.pem
Adding debian:GlobalSign_ECC_Root_CA_-_R5.pem
Adding debian:GDCA_TrustAUTH_R5_ROOT.pem
Adding debian:Chambers_of_Commerce_Root_-_2008.pem
Adding debian:DigiCert_Trusted_Root_G4.pem
Adding debian:Go_Daddy_Class_2_CA.pem
Adding debian:Hellenic_Academic_and_Research_Institutions_RootCA_2011.pem
Adding debian:emSign_ECC_Root_CA_-_G3.pem
Adding debian:Trustis_FPS_Root_CA.pem
Adding debian:GlobalSign_ECC_Root_CA_-_R4.pem
Adding debian:COMODO_ECC_Certification_Authority.pem
Adding debian:Entrust.net_Premium_2048_Secure_Server_CA.pem
Adding debian:TrustCor_RootCert_CA-1.pem
Adding debian:UCA_Global_G2_Root.pem
Adding debian:Hongkong_Post_Root_CA_1.pem
Adding debian:Entrust_Root_Certification_Authority_-_G2.pem
Adding debian:GlobalSign_Root_CA_-_R6.pem
Adding debian:SecureTrust_CA.pem
Adding debian:D-TRUST_Root_Class_3_CA_2_EV_2009.pem
Adding debian:EC-ACC.pem
Adding debian:IdenTrust_Public_Sector_Root_CA_1.pem
Adding debian:Global_Chambersign_Root_-_2008.pem
Adding debian:Buypass_Class_3_Root_CA.pem
Adding debian:Atos_TrustedRoot_2011.pem
Adding debian:Staat_der_Nederlanden_EV_Root_CA.pem
Adding debian:DST_Root_CA_X3.pem
Adding debian:Starfield_Root_Certificate_Authority_-_G2.pem
Adding debian:OISTE_WISeKey_Global_Root_GB_CA.pem
Adding debian:Go_Daddy_Root_Certificate_Authority_-_G2.pem
Adding debian:emSign_ECC_Root_CA_-_C3.pem
Adding debian:emSign_Root_CA_-_G1.pem
Adding debian:GlobalSign_Root_CA_-_R2.pem
Adding debian:Microsoft_ECC_Root_Certificate_Authority_2017.pem
Adding debian:Hellenic_Academic_and_Research_Institutions_RootCA_2015.pem
Adding debian:Microsec_e-Szigno_Root_CA_2009.pem
Adding debian:AffirmTrust_Premium.pem
Adding debian:Izenpe.com.pem
Adding debian:Amazon_Root_CA_3.pem
Adding debian:T-TeleSec_GlobalRoot_Class_3.pem
Adding debian:ISRG_Root_X1.pem
Adding debian:VeriSign_Universal_Root_Certification_Authority.pem
Adding debian:SSL.com_Root_Certification_Authority_ECC.pem
Adding debian:DigiCert_Global_Root_G2.pem
Adding debian:Amazon_Root_CA_2.pem
Adding debian:TeliaSonera_Root_CA_v1.pem
Adding debian:Certigna.pem
Adding debian:Hongkong_Post_Root_CA_3.pem
Adding debian:Entrust_Root_Certification_Authority.pem
Adding debian:DigiCert_Global_Root_CA.pem
Adding debian:GTS_Root_R1.pem
Adding debian:emSign_Root_CA_-_C1.pem
Adding debian:Actalis_Authentication_Root_CA.pem
Adding debian:AffirmTrust_Premium_ECC.pem
Adding debian:COMODO_RSA_Certification_Authority.pem
Adding debian:Buypass_Class_2_Root_CA.pem
Adding debian:DigiCert_Global_Root_G3.pem
Adding debian:Comodo_AAA_Services_root.pem
Adding debian:Staat_der_Nederlanden_Root_CA_-_G3.pem
Adding debian:USERTrust_RSA_Certification_Authority.pem
Adding debian:GTS_Root_R3.pem
Adding debian:Certigna_Root_CA.pem
Adding debian:QuoVadis_Root_CA_3.pem
Adding debian:GeoTrust_Primary_Certification_Authority_-_G2.pem
Adding debian:QuoVadis_Root_CA_2.pem
Adding debian:Amazon_Root_CA_4.pem
Adding debian:USERTrust_ECC_Certification_Authority.pem
Adding debian:Secure_Global_CA.pem
Adding debian:T-TeleSec_GlobalRoot_Class_2.pem
Adding debian:DigiCert_Assured_ID_Root_G3.pem
Adding debian:COMODO_Certification_Authority.pem
Adding debian:certSIGN_Root_CA_G2.pem
Adding debian:Sonera_Class_2_Root_CA.pem
Adding debian:GTS_Root_R2.pem
Adding debian:TWCA_Root_Certification_Authority.pem
Adding debian:SZAFIR_ROOT_CA2.pem
Adding debian:GlobalSign_Root_CA.pem
Adding debian:Microsoft_RSA_Root_Certificate_Authority_2017.pem
Adding debian:Certum_Trusted_Network_CA_2.pem
Adding debian:ePKI_Root_Certification_Authority.pem
Adding debian:NetLock_Arany_=Class_Gold=_Főtanúsítvány.pem
Adding debian:TUBITAK_Kamu_SM_SSL_Kok_Sertifikasi_-_Surum_1.pem
Adding debian:IdenTrust_Commercial_Root_CA_1.pem
Adding debian:CA_Disig_Root_R2.pem
Adding debian:Entrust_Root_Certification_Authority_-_EC1.pem
Adding debian:Network_Solutions_Certificate_Authority.pem
Adding debian:GlobalSign_Root_CA_-_R3.pem
Adding debian:Amazon_Root_CA_1.pem
Adding debian:certSIGN_ROOT_CA.pem
Adding debian:TrustCor_RootCert_CA-2.pem
Adding debian:SecureSign_RootCA11.pem
Adding debian:Trustwave_Global_ECC_P256_Certification_Authority.pem
Adding debian:TWCA_Global_Root_CA.pem
Adding debian:SSL.com_EV_Root_Certification_Authority_RSA_R2.pem
Adding debian:DigiCert_Assured_ID_Root_G2.pem
Adding debian:Hellenic_Academic_and_Research_Institutions_ECC_RootCA_2015.pem
Adding debian:AffirmTrust_Networking.pem
Adding debian:QuoVadis_Root_CA.pem
Adding debian:QuoVadis_Root_CA_1_G3.pem
Adding debian:TrustCor_ECA-1.pem
Adding debian:Cybertrust_Global_Root.pem
Adding debian:SwissSign_Gold_CA_-_G2.pem
Adding debian:SwissSign_Silver_CA_-_G2.pem
Adding debian:Baltimore_CyberTrust_Root.pem
Adding debian:ACCVRAIZ1.pem
Adding debian:XRamp_Global_CA_Root.pem
Adding debian:SSL.com_Root_Certification_Authority_RSA.pem
Adding debian:e-Szigno_Root_CA_2017.pem
Adding debian:Security_Communication_Root_CA.pem
Adding debian:AffirmTrust_Commercial.pem
Adding debian:UCA_Extended_Validation_Root.pem
Adding debian:DigiCert_Assured_ID_Root_CA.pem
Adding debian:Security_Communication_RootCA2.pem
Adding debian:SSL.com_EV_Root_Certification_Authority_ECC.pem
Adding debian:Trustwave_Global_Certification_Authority.pem
Adding debian:Starfield_Class_2_CA.pem
Adding debian:QuoVadis_Root_CA_3_G3.pem
Adding debian:Starfield_Services_Root_Certificate_Authority_-_G2.pem
Adding debian:AC_RAIZ_FNMT-RCM.pem
Adding debian:QuoVadis_Root_CA_2_G3.pem
Adding debian:D-TRUST_Root_Class_3_CA_2_2009.pem
Adding debian:CFCA_EV_ROOT.pem
Adding debian:DigiCert_High_Assurance_EV_Root_CA.pem
Adding debian:Entrust_Root_Certification_Authority_-_G4.pem
Adding debian:E-Tugra_Certification_Authority.pem
Adding debian:Certum_Trusted_Network_CA.pem
Adding debian:GTS_Root_R4.pem
Adding debian:OISTE_WISeKey_Global_Root_GC_CA.pem
Adding debian:NAVER_Global_Root_Certification_Authority.pem
done.
Processing triggers for fontconfig (2.13.1-2ubuntu3) ...
Processing triggers for mime-support (3.64ubuntu1) ...
Processing triggers for libc-bin (2.31-0ubuntu9.1) ...
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-opencl.so.465.19.01 is empty, not checked.
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libcuda.so.465.19.01 is empty, not checked.
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.465.19.01 is empty, not checked.
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-allocator.so.465.19.01 is empty, not checked.
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-cfg.so.465.19.01 is empty, not checked.
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-allocator.so.1 is empty, not checked.
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-compiler.so.465.19.01 is empty, not checked.
/sbin/ldconfig.real: File /lib/x86_64-linux-gnu/libnvidia-ml.so.465.19.01 is empty, not checked.
Processing triggers for ca-certificates (20210119~20.04.1) ...
Updating certificates in /etc/ssl/certs...
0 added, 0 removed; done.
Running hooks in /etc/ca-certificates/update.d...

done.
done.
Collecting opencv-python
  Downloading opencv_python-4.6.0.66-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (60.9 MB)
Collecting ruamel_yaml
  Downloading ruamel.yaml-0.17.21-py3-none-any.whl (109 kB)
Collecting pycocoevalcap
  Downloading pycocoevalcap-1.2-py3-none-any.whl (104.3 MB)
Collecting transformers
  Downloading transformers-4.25.1-py3-none-any.whl (5.8 MB)
Requirement already satisfied: timm in /usr/local/lib/python3.8/dist-packages (from -r requirements.txt (line 5)) (0.4.5)
Collecting tabulate
  Downloading tabulate-0.9.0-py3-none-any.whl (35 kB)
Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.8/dist-packages (from opencv-python->-r requirements.txt (line 1)) (1.21.0)
Collecting ruamel.yaml.clib>=0.2.6
  Downloading ruamel.yaml.clib-0.2.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (555 kB)
Collecting pycocotools>=2.0.2
  Downloading pycocotools-2.0.6.tar.gz (24 kB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
    Preparing wheel metadata: started
    Preparing wheel metadata: finished with status 'done'
Collecting matplotlib>=2.1.0
  Downloading matplotlib-3.6.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.4 MB)
Collecting contourpy>=1.0.1
  Downloading contourpy-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (295 kB)
Requirement already satisfied: pyparsing>=2.2.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap->-r requirements.txt (line 3)) (2.4.7)
Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap->-r requirements.txt (line 3)) (8.3.1)
Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap->-r requirements.txt (line 3)) (2.8.2)
Collecting cycler>=0.10
  Downloading cycler-0.11.0-py3-none-any.whl (6.4 kB)
Collecting fonttools>=4.22.0
  Downloading fonttools-4.38.0-py3-none-any.whl (965 kB)
Collecting kiwisolver>=1.0.1
  Downloading kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.2 MB)
Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap->-r requirements.txt (line 3)) (21.0)
Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.7->matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap->-r requirements.txt (line 3)) (1.16.0)
Requirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from transformers->-r requirements.txt (line 4)) (3.0.12)
Collecting tokenizers!=0.11.3,<0.14,>=0.11.1
  Downloading tokenizers-0.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB)
Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from transformers->-r requirements.txt (line 4)) (5.4.1)
Collecting regex!=2019.12.17
  Downloading regex-2022.10.31-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (772 kB)
Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.8/dist-packages (from transformers->-r requirements.txt (line 4)) (4.61.2)
Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from transformers->-r requirements.txt (line 4)) (2.26.0)
Collecting huggingface-hub<1.0,>=0.10.0
  Downloading huggingface_hub-0.11.1-py3-none-any.whl (182 kB)
Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub<1.0,>=0.10.0->transformers->-r requirements.txt (line 4)) (3.10.0.0)
Requirement already satisfied: torchvision in /usr/local/lib/python3.8/dist-packages (from timm->-r requirements.txt (line 5)) (0.8.2+cu110)
Requirement already satisfied: torch>=1.4 in /usr/local/lib/python3.8/dist-packages (from timm->-r requirements.txt (line 5)) (1.7.1+cu110)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->transformers->-r requirements.txt (line 4)) (1.26.6)
Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->transformers->-r requirements.txt (line 4)) (3.2)
Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.8/dist-packages (from requests->transformers->-r requirements.txt (line 4)) (2.0.1)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->transformers->-r requirements.txt (line 4)) (2021.5.30)
Building wheels for collected packages: pycocotools
  Building wheel for pycocotools (PEP 517): started
  Building wheel for pycocotools (PEP 517): finished with status 'done'
  Created wheel for pycocotools: filename=pycocotools-2.0.6-cp38-cp38-linux_x86_64.whl size=422974 sha256=dbec25b69ca07e3c88a7d159994dd658960d7c4ae39d8d17d7ac88c0af40a846
  Stored in directory: /root/.cache/pip/wheels/3e/08/ac/58126fe59992032701437336493f6132e1b72381a62d00b595
Successfully built pycocotools
Installing collected packages: kiwisolver, fonttools, cycler, contourpy, matplotlib, tokenizers, ruamel.yaml.clib, regex, pycocotools, huggingface-hub, transformers, tabulate, ruamel-yaml, pycocoevalcap, opencv-python
Successfully installed contourpy-1.0.6 cycler-0.11.0 fonttools-4.38.0 huggingface-hub-0.11.1 kiwisolver-1.4.4 matplotlib-3.6.2 opencv-python-4.6.0.66 pycocoevalcap-1.2 pycocotools-2.0.6 regex-2022.10.31 ruamel-yaml-0.17.21 ruamel.yaml.clib-0.2.7 tabulate-0.9.0 tokenizers-0.13.2 transformers-4.25.1
WARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv
WARNING: You are using pip version 21.1.2; however, version 22.3.1 is available.
You should consider upgrading via the '/usr/bin/python -m pip install --upgrade pip' command.
Collecting decord
  Downloading decord-0.6.0-py3-none-manylinux2010_x86_64.whl (13.6 MB)
Requirement already satisfied: numpy>=1.14.0 in /usr/local/lib/python3.8/dist-packages (from decord) (1.21.0)
Installing collected packages: decord
Successfully installed decord-0.6.0
WARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv
WARNING: You are using pip version 21.1.2; however, version 22.3.1 is available.
You should consider upgrading via the '/usr/bin/python -m pip install --upgrade pip' command.
Found existing installation: transformers 4.25.1
Uninstalling transformers-4.25.1:
  Would remove:
    /usr/local/bin/transformers-cli
    /usr/local/lib/python3.8/dist-packages/transformers-4.25.1.dist-info/*
    /usr/local/lib/python3.8/dist-packages/transformers/*
ERROR: Exception:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py", line 180, in _main
    status = self.run(options, args)
  File "/usr/local/lib/python3.8/dist-packages/pip/_internal/commands/uninstall.py", line 85, in run
    uninstall_pathset = req.uninstall(
  File "/usr/local/lib/python3.8/dist-packages/pip/_internal/req/req_install.py", line 672, in uninstall
    uninstalled_pathset.remove(auto_confirm, verbose)
  File "/usr/local/lib/python3.8/dist-packages/pip/_internal/req/req_uninstall.py", line 380, in remove
    if auto_confirm or self._allowed_to_proceed(verbose):
  File "/usr/local/lib/python3.8/dist-packages/pip/_internal/req/req_uninstall.py", line 423, in _allowed_to_proceed
    return ask('Proceed (y/n)? ', ('y', 'n')) == 'y'
  File "/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/misc.py", line 203, in ask
    response = input(message)
EOFError: EOF when reading a line
Proceed (y/n)? Collecting transformers==4.15.0
  Downloading transformers-4.15.0-py3-none-any.whl (3.4 MB)
Collecting sacremoses
  Downloading sacremoses-0.0.53.tar.gz (880 kB)
Collecting tokenizers<0.11,>=0.10.1
  Downloading tokenizers-0.10.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.3 MB)
Requirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from transformers==4.15.0) (3.0.12)
Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.8/dist-packages (from transformers==4.15.0) (1.21.0)
Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/dist-packages (from transformers==4.15.0) (2022.10.31)
Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from transformers==4.15.0) (2.26.0)
Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from transformers==4.15.0) (5.4.1)
Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.8/dist-packages (from transformers==4.15.0) (4.61.2)
Requirement already satisfied: huggingface-hub<1.0,>=0.1.0 in /usr/local/lib/python3.8/dist-packages (from transformers==4.15.0) (0.11.1)
Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.8/dist-packages (from transformers==4.15.0) (21.0)
Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers==4.15.0) (3.10.0.0)
Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging>=20.0->transformers==4.15.0) (2.4.7)
Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->transformers==4.15.0) (3.2)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->transformers==4.15.0) (2021.5.30)
Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.8/dist-packages (from requests->transformers==4.15.0) (2.0.1)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->transformers==4.15.0) (1.26.6)
Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from sacremoses->transformers==4.15.0) (1.16.0)
Collecting click
  Downloading click-8.1.3-py3-none-any.whl (96 kB)
Requirement already satisfied: joblib in /usr/local/lib/python3.8/dist-packages (from sacremoses->transformers==4.15.0) (1.0.1)
Building wheels for collected packages: sacremoses
  Building wheel for sacremoses (setup.py): started
  Building wheel for sacremoses (setup.py): finished with status 'done'
  Created wheel for sacremoses: filename=sacremoses-0.0.53-py3-none-any.whl size=895259 sha256=40d0830ecdd1734dd73aff427dc5a4a157f57a0cdc301c6e847868fa9f76bf6f
  Stored in directory: /root/.cache/pip/wheels/82/ab/9b/c15899bf659ba74f623ac776e861cf2eb8608c1825ddec66a4
Successfully built sacremoses
Installing collected packages: click, tokenizers, sacremoses, transformers
  Attempting uninstall: tokenizers
    Found existing installation: tokenizers 0.13.2
    Uninstalling tokenizers-0.13.2:
      Successfully uninstalled tokenizers-0.13.2
  Attempting uninstall: transformers
    Found existing installation: transformers 4.25.1
    Uninstalling transformers-4.25.1:
      Successfully uninstalled transformers-4.25.1
Successfully installed click-8.1.3 sacremoses-0.0.53 tokenizers-0.10.3 transformers-4.15.0
WARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv
WARNING: You are using pip version 21.1.2; however, version 22.3.1 is available.
You should consider upgrading via the '/usr/bin/python -m pip install --upgrade pip' command.

(vqa:) load pretrained model from: output\/Pretrain_concated_pred_4M\/checkpoint_19.pth
args.rank 0 args.world_size 8 args.gpu 0
get_rank() 0
args.rank 4 args.world_size 8 args.gpu 4
get_rank() 0
args.rank 6 args.world_size 8 args.gpu 6
args.rank 2 args.world_sizeget_rank()  08
 args.gpu 2
get_rank() 0
args.rank 5 args.world_size 8 args.gpu 5
get_rank() 0
args.rank 1 args.world_size 8 args.gpu 1
get_rank() 0
args.rank 3 args.world_size 8 args.gpu 3
get_rank() 0
args.rank 7 args.world_size 8 args.gpu 7
get_rank() 0
| distributed init (rank 7): env://| distributed init (rank 0): env://| distributed init (rank 4): env://| distributed init (rank 3): env://| distributed init (rank 2): env://




| distributed init (rank 5): env://
| distributed init (rank 6): env://| distributed init (rank 1): env://

Creating vqa datasets
{'vqa_root': '/dataset/coco2014/COCO2014', 'vg_root': '/dataset/VisualGenome/', 'train_files': ['vqa_train', 'vqa_val', 'vg_qa'], 'ann_root': 'annotation', 'pretrained': 'output/Pretrain_concated_pred_4M/checkpoint_19.pth', 'vit': 'base', 'batch_size_train': 12, 'batch_size_test': 24, 'vit_grad_ckpt': False, 'vit_ckpt_layer': 0, 'init_lr': 2e-05, 'image_size': 480, 'k_test': 128, 'inference': 'rank', 'weight_decay': 0.05, 'min_lr': 0, 'max_epoch': 10}
Using downloaded and verified file: annotation/vqa_train.json
Using downloaded and verified file: annotation/vqa_val.json
Using downloaded and verified file: annotation/vg_qa.json
Using downloaded and verified file: annotation/vqa_test.json
Using downloaded and verified file: annotation/answer_list.json
Creating model
load checkpoint for output/Pretrain_concated_pred_4M/checkpoint_19.pth
reshape position embedding from 196 to 900
load checkpoint from output/Pretrain_concated_pred_4M/checkpoint_19.pth
Start training
Train Epoch: [0]  [    0/21856]  eta: 17:09:08  lr: 0.000020  loss: 11.2492  time: 2.8252  data: 0.8814  max mem: 21806
Train Epoch: [0]  [  200/21856]  eta: 2:32:12  lr: 0.000020  loss: 2.2012  time: 0.4072  data: 0.0001  max mem: 25591
Train Epoch: [0]  [  400/21856]  eta: 2:28:16  lr: 0.000020  loss: 2.8211  time: 0.4073  data: 0.0001  max mem: 25663
Train Epoch: [0]  [  600/21856]  eta: 2:26:10  lr: 0.000020  loss: 1.6102  time: 0.4078  data: 0.0001  max mem: 25663
Train Epoch: [0]  [  800/21856]  eta: 2:24:20  lr: 0.000020  loss: 1.6832  time: 0.4075  data: 0.0001  max mem: 25667
Train Epoch: [0]  [ 1000/21856]  eta: 2:22:43  lr: 0.000020  loss: 0.9151  time: 0.4063  data: 0.0001  max mem: 25667
Train Epoch: [0]  [ 1200/21856]  eta: 2:21:09  lr: 0.000020  loss: 2.4042  time: 0.4078  data: 0.0001  max mem: 25667
Train Epoch: [0]  [ 1400/21856]  eta: 2:19:41  lr: 0.000020  loss: 1.8973  time: 0.4082  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 1600/21856]  eta: 2:18:14  lr: 0.000020  loss: 2.0658  time: 0.4072  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 1800/21856]  eta: 2:16:46  lr: 0.000020  loss: 0.9419  time: 0.4067  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 2000/21856]  eta: 2:15:19  lr: 0.000020  loss: 0.8128  time: 0.4073  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 2200/21856]  eta: 2:13:54  lr: 0.000020  loss: 1.8665  time: 0.4079  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 2400/21856]  eta: 2:12:29  lr: 0.000020  loss: 1.2903  time: 0.4054  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 2600/21856]  eta: 2:11:05  lr: 0.000020  loss: 2.3963  time: 0.4061  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 2800/21856]  eta: 2:09:42  lr: 0.000020  loss: 1.3922  time: 0.4069  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 3000/21856]  eta: 2:08:21  lr: 0.000020  loss: 1.9792  time: 0.4083  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 3200/21856]  eta: 2:06:58  lr: 0.000020  loss: 1.7082  time: 0.4080  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 3400/21856]  eta: 2:05:39  lr: 0.000020  loss: 1.8495  time: 0.4083  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 3600/21856]  eta: 2:04:15  lr: 0.000020  loss: 1.2316  time: 0.4066  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 3800/21856]  eta: 2:02:52  lr: 0.000020  loss: 2.1020  time: 0.4076  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 4000/21856]  eta: 2:01:29  lr: 0.000020  loss: 1.9980  time: 0.4075  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 4200/21856]  eta: 2:00:08  lr: 0.000020  loss: 0.9249  time: 0.4069  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 4400/21856]  eta: 1:58:46  lr: 0.000020  loss: 1.6371  time: 0.4113  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 4600/21856]  eta: 1:57:27  lr: 0.000020  loss: 1.5365  time: 0.4112  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 4800/21856]  eta: 1:56:08  lr: 0.000020  loss: 1.2000  time: 0.4129  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 5000/21856]  eta: 1:54:50  lr: 0.000020  loss: 0.9171  time: 0.4128  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 5200/21856]  eta: 1:53:31  lr: 0.000020  loss: 1.7092  time: 0.4133  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 5400/21856]  eta: 1:52:11  lr: 0.000020  loss: 0.9636  time: 0.4128  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 5600/21856]  eta: 1:50:52  lr: 0.000020  loss: 1.1872  time: 0.4119  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 5800/21856]  eta: 1:49:32  lr: 0.000020  loss: 2.0044  time: 0.4126  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 6000/21856]  eta: 1:48:11  lr: 0.000020  loss: 1.4663  time: 0.4133  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 6200/21856]  eta: 1:46:51  lr: 0.000020  loss: 1.3133  time: 0.4137  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 6400/21856]  eta: 1:45:31  lr: 0.000020  loss: 1.0644  time: 0.4145  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 6600/21856]  eta: 1:44:11  lr: 0.000020  loss: 2.1360  time: 0.4131  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 6800/21856]  eta: 1:42:51  lr: 0.000020  loss: 2.3830  time: 0.4112  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 7000/21856]  eta: 1:41:30  lr: 0.000020  loss: 1.0423  time: 0.4139  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 7200/21856]  eta: 1:40:10  lr: 0.000020  loss: 1.6039  time: 0.4100  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 7400/21856]  eta: 1:38:48  lr: 0.000020  loss: 1.8550  time: 0.4128  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 7600/21856]  eta: 1:37:27  lr: 0.000020  loss: 1.9653  time: 0.4117  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 7800/21856]  eta: 1:36:06  lr: 0.000020  loss: 0.6965  time: 0.4139  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 8000/21856]  eta: 1:34:45  lr: 0.000020  loss: 0.9638  time: 0.4145  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 8200/21856]  eta: 1:33:25  lr: 0.000020  loss: 0.8436  time: 0.4153  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 8400/21856]  eta: 1:32:04  lr: 0.000020  loss: 1.1879  time: 0.4153  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 8600/21856]  eta: 1:30:43  lr: 0.000020  loss: 1.6179  time: 0.4137  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 8800/21856]  eta: 1:29:21  lr: 0.000020  loss: 1.3999  time: 0.4142  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 9000/21856]  eta: 1:28:00  lr: 0.000020  loss: 0.9987  time: 0.4127  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 9200/21856]  eta: 1:26:38  lr: 0.000020  loss: 2.5522  time: 0.4113  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 9400/21856]  eta: 1:25:17  lr: 0.000020  loss: 0.9234  time: 0.4143  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 9600/21856]  eta: 1:23:55  lr: 0.000020  loss: 1.2492  time: 0.4113  data: 0.0001  max mem: 25870
Train Epoch: [0]  [ 9800/21856]  eta: 1:22:33  lr: 0.000020  loss: 1.0864  time: 0.4131  data: 0.0001  max mem: 25870
Train Epoch: [0]  [10000/21856]  eta: 1:21:11  lr: 0.000020  loss: 1.0248  time: 0.4135  data: 0.0001  max mem: 25870
Train Epoch: [0]  [10200/21856]  eta: 1:19:50  lr: 0.000020  loss: 1.3766  time: 0.4117  data: 0.0001  max mem: 25870
Train Epoch: [0]  [10400/21856]  eta: 1:18:27  lr: 0.000020  loss: 1.5630  time: 0.4117  data: 0.0001  max mem: 25870
Train Epoch: [0]  [10600/21856]  eta: 1:17:05  lr: 0.000020  loss: 2.2201  time: 0.4114  data: 0.0001  max mem: 25870
Train Epoch: [0]  [10800/21856]  eta: 1:15:43  lr: 0.000020  loss: 0.7202  time: 0.4105  data: 0.0001  max mem: 25870
Train Epoch: [0]  [11000/21856]  eta: 1:14:21  lr: 0.000020  loss: 1.5537  time: 0.4127  data: 0.0001  max mem: 25870
Train Epoch: [0]  [11200/21856]  eta: 1:12:59  lr: 0.000020  loss: 0.7545  time: 0.4114  data: 0.0001  max mem: 25870
Train Epoch: [0]  [11400/21856]  eta: 1:11:37  lr: 0.000020  loss: 0.7796  time: 0.4112  data: 0.0001  max mem: 25870
Train Epoch: [0]  [11600/21856]  eta: 1:10:15  lr: 0.000020  loss: 0.8729  time: 0.4111  data: 0.0001  max mem: 25870
Train Epoch: [0]  [11800/21856]  eta: 1:08:53  lr: 0.000020  loss: 0.5352  time: 0.4106  data: 0.0001  max mem: 25870
Train Epoch: [0]  [12000/21856]  eta: 1:07:30  lr: 0.000020  loss: 3.3017  time: 0.4109  data: 0.0001  max mem: 25870
Train Epoch: [0]  [12200/21856]  eta: 1:06:08  lr: 0.000020  loss: 0.7979  time: 0.4127  data: 0.0001  max mem: 25870
Train Epoch: [0]  [12400/21856]  eta: 1:04:46  lr: 0.000020  loss: 2.7301  time: 0.4098  data: 0.0001  max mem: 25870
Train Epoch: [0]  [12600/21856]  eta: 1:03:24  lr: 0.000020  loss: 1.9092  time: 0.4114  data: 0.0001  max mem: 25870
Train Epoch: [0]  [12800/21856]  eta: 1:02:02  lr: 0.000020  loss: 2.0485  time: 0.4110  data: 0.0001  max mem: 25870
Train Epoch: [0]  [13000/21856]  eta: 1:00:40  lr: 0.000020  loss: 1.6753  time: 0.4117  data: 0.0001  max mem: 25870
Train Epoch: [0]  [13200/21856]  eta: 0:59:17  lr: 0.000020  loss: 1.0093  time: 0.4106  data: 0.0001  max mem: 25898
Train Epoch: [0]  [13400/21856]  eta: 0:57:55  lr: 0.000020  loss: 0.7333  time: 0.4122  data: 0.0001  max mem: 25898
Train Epoch: [0]  [13600/21856]  eta: 0:56:33  lr: 0.000020  loss: 1.4832  time: 0.4105  data: 0.0001  max mem: 25898
Train Epoch: [0]  [13800/21856]  eta: 0:55:11  lr: 0.000020  loss: 1.0122  time: 0.4106  data: 0.0001  max mem: 25898
Train Epoch: [0]  [14000/21856]  eta: 0:53:48  lr: 0.000020  loss: 0.8604  time: 0.4104  data: 0.0001  max mem: 25898
Train Epoch: [0]  [14200/21856]  eta: 0:52:26  lr: 0.000020  loss: 0.7578  time: 0.4101  data: 0.0001  max mem: 25898
Train Epoch: [0]  [14400/21856]  eta: 0:51:04  lr: 0.000020  loss: 0.8722  time: 0.4104  data: 0.0001  max mem: 25898
Train Epoch: [0]  [14600/21856]  eta: 0:49:42  lr: 0.000020  loss: 1.5682  time: 0.4103  data: 0.0001  max mem: 25898
Train Epoch: [0]  [14800/21856]  eta: 0:48:19  lr: 0.000020  loss: 2.1599  time: 0.4111  data: 0.0001  max mem: 25898
Train Epoch: [0]  [15000/21856]  eta: 0:46:57  lr: 0.000020  loss: 0.8374  time: 0.4089  data: 0.0001  max mem: 25898
Train Epoch: [0]  [15200/21856]  eta: 0:45:35  lr: 0.000020  loss: 1.3791  time: 0.4097  data: 0.0001  max mem: 25898
Train Epoch: [0]  [15400/21856]  eta: 0:44:12  lr: 0.000020  loss: 1.0344  time: 0.4107  data: 0.0001  max mem: 25898
Train Epoch: [0]  [15600/21856]  eta: 0:42:50  lr: 0.000020  loss: 1.1218  time: 0.4101  data: 0.0001  max mem: 25898
Train Epoch: [0]  [15800/21856]  eta: 0:41:28  lr: 0.000020  loss: 1.8843  time: 0.4091  data: 0.0001  max mem: 25898
Train Epoch: [0]  [16000/21856]  eta: 0:40:06  lr: 0.000020  loss: 0.5957  time: 0.4092  data: 0.0001  max mem: 25898
Train Epoch: [0]  [16200/21856]  eta: 0:38:43  lr: 0.000020  loss: 1.0401  time: 0.4096  data: 0.0001  max mem: 25898
Train Epoch: [0]  [16400/21856]  eta: 0:37:21  lr: 0.000020  loss: 1.7130  time: 0.4097  data: 0.0001  max mem: 25898
Train Epoch: [0]  [16600/21856]  eta: 0:35:59  lr: 0.000020  loss: 1.2178  time: 0.4091  data: 0.0001  max mem: 25898
Train Epoch: [0]  [16800/21856]  eta: 0:34:37  lr: 0.000020  loss: 1.9557  time: 0.4096  data: 0.0001  max mem: 25898
Train Epoch: [0]  [17000/21856]  eta: 0:33:14  lr: 0.000020  loss: 1.1350  time: 0.4115  data: 0.0001  max mem: 25898
Train Epoch: [0]  [17200/21856]  eta: 0:31:52  lr: 0.000020  loss: 0.9604  time: 0.4110  data: 0.0001  max mem: 25898
Train Epoch: [0]  [17400/21856]  eta: 0:30:30  lr: 0.000020  loss: 1.7277  time: 0.4098  data: 0.0001  max mem: 25898
Train Epoch: [0]  [17600/21856]  eta: 0:29:08  lr: 0.000020  loss: 2.9681  time: 0.4108  data: 0.0001  max mem: 25898
Train Epoch: [0]  [17800/21856]  eta: 0:27:46  lr: 0.000020  loss: 0.5949  time: 0.4109  data: 0.0001  max mem: 25898
Train Epoch: [0]  [18000/21856]  eta: 0:26:23  lr: 0.000020  loss: 1.6656  time: 0.4108  data: 0.0001  max mem: 25898
Train Epoch: [0]  [18200/21856]  eta: 0:25:01  lr: 0.000020  loss: 0.7096  time: 0.4124  data: 0.0001  max mem: 25898
Train Epoch: [0]  [18400/21856]  eta: 0:23:39  lr: 0.000020  loss: 1.9050  time: 0.4130  data: 0.0001  max mem: 25898
Train Epoch: [0]  [18600/21856]  eta: 0:22:17  lr: 0.000020  loss: 1.0282  time: 0.4126  data: 0.0001  max mem: 25898
Train Epoch: [0]  [18800/21856]  eta: 0:20:55  lr: 0.000020  loss: 0.7774  time: 0.4112  data: 0.0001  max mem: 25898
Train Epoch: [0]  [19000/21856]  eta: 0:19:33  lr: 0.000020  loss: 0.6326  time: 0.4093  data: 0.0001  max mem: 25898
Train Epoch: [0]  [19200/21856]  eta: 0:18:11  lr: 0.000020  loss: 1.7870  time: 0.4121  data: 0.0001  max mem: 25898
Train Epoch: [0]  [19400/21856]  eta: 0:16:49  lr: 0.000020  loss: 1.4361  time: 0.4122  data: 0.0001  max mem: 25898
Train Epoch: [0]  [19600/21856]  eta: 0:15:26  lr: 0.000020  loss: 1.0528  time: 0.4134  data: 0.0001  max mem: 25898
Train Epoch: [0]  [19800/21856]  eta: 0:14:04  lr: 0.000020  loss: 2.0750  time: 0.4160  data: 0.0001  max mem: 25898
Train Epoch: [0]  [20000/21856]  eta: 0:12:42  lr: 0.000020  loss: 0.8456  time: 0.4119  data: 0.0001  max mem: 25898
Train Epoch: [0]  [20200/21856]  eta: 0:11:20  lr: 0.000020  loss: 0.8685  time: 0.4137  data: 0.0001  max mem: 25898
Train Epoch: [0]  [20400/21856]  eta: 0:09:58  lr: 0.000020  loss: 0.2859  time: 0.4145  data: 0.0001  max mem: 25898
Train Epoch: [0]  [20600/21856]  eta: 0:08:36  lr: 0.000020  loss: 2.0936  time: 0.4144  data: 0.0001  max mem: 25898
Train Epoch: [0]  [20800/21856]  eta: 0:07:14  lr: 0.000020  loss: 0.8682  time: 0.4133  data: 0.0001  max mem: 25898
Train Epoch: [0]  [21000/21856]  eta: 0:05:51  lr: 0.000020  loss: 1.2786  time: 0.4134  data: 0.0001  max mem: 25898
Train Epoch: [0]  [21200/21856]  eta: 0:04:29  lr: 0.000020  loss: 2.3613  time: 0.4167  data: 0.0001  max mem: 25898
Train Epoch: [0]  [21400/21856]  eta: 0:03:07  lr: 0.000020  loss: 1.8705  time: 0.4148  data: 0.0001  max mem: 25898
Train Epoch: [0]  [21600/21856]  eta: 0:01:45  lr: 0.000020  loss: 1.2699  time: 0.4144  data: 0.0001  max mem: 25898
Train Epoch: [0]  [21800/21856]  eta: 0:00:23  lr: 0.000020  loss: 1.0375  time: 0.4165  data: 0.0001  max mem: 25898
Train Epoch: [0]  [21855/21856]  eta: 0:00:00  lr: 0.000020  loss: 1.4450  time: 0.4098  data: 0.0006  max mem: 25898
Train Epoch: [0] Total time: 2:29:48 (0.4113 s / it)
Averaged stats: lr: 0.0000  loss: 1.4851
Train Epoch: [1]  [    0/21856]  eta: 9:03:56  lr: 0.000020  loss: 2.2842  time: 1.4933  data: 0.9481  max mem: 25898
Train Epoch: [1]  [  200/21856]  eta: 2:30:27  lr: 0.000020  loss: 1.2845  time: 0.4089  data: 0.0001  max mem: 25898
Train Epoch: [1]  [  400/21856]  eta: 2:28:00  lr: 0.000020  loss: 1.1114  time: 0.4128  data: 0.0001  max mem: 25898
Train Epoch: [1]  [  600/21856]  eta: 2:26:22  lr: 0.000020  loss: 0.9613  time: 0.4121  data: 0.0001  max mem: 25898
Train Epoch: [1]  [  800/21856]  eta: 2:24:47  lr: 0.000020  loss: 1.3405  time: 0.4105  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 1000/21856]  eta: 2:23:24  lr: 0.000020  loss: 0.7676  time: 0.4138  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 1200/21856]  eta: 2:21:59  lr: 0.000020  loss: 0.4815  time: 0.4167  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 1400/21856]  eta: 2:20:36  lr: 0.000020  loss: 1.0973  time: 0.4104  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 1600/21856]  eta: 2:19:09  lr: 0.000020  loss: 1.3452  time: 0.4121  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 1800/21856]  eta: 2:17:48  lr: 0.000020  loss: 0.8436  time: 0.4120  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 2000/21856]  eta: 2:16:23  lr: 0.000020  loss: 0.6604  time: 0.4118  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 2200/21856]  eta: 2:14:55  lr: 0.000020  loss: 1.2526  time: 0.4084  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 2400/21856]  eta: 2:13:28  lr: 0.000020  loss: 1.1484  time: 0.4097  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 2600/21856]  eta: 2:12:05  lr: 0.000020  loss: 1.4132  time: 0.4126  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 2800/21856]  eta: 2:10:43  lr: 0.000020  loss: 2.7003  time: 0.4127  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 3000/21856]  eta: 2:09:21  lr: 0.000020  loss: 1.0408  time: 0.4112  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 3200/21856]  eta: 2:07:57  lr: 0.000020  loss: 1.6163  time: 0.4093  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 3400/21856]  eta: 2:06:30  lr: 0.000020  loss: 0.7736  time: 0.4072  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 3600/21856]  eta: 2:05:05  lr: 0.000020  loss: 1.7014  time: 0.4084  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 3800/21856]  eta: 2:03:41  lr: 0.000020  loss: 2.2432  time: 0.4092  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 4000/21856]  eta: 2:02:17  lr: 0.000020  loss: 1.0321  time: 0.4108  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 4200/21856]  eta: 2:00:53  lr: 0.000020  loss: 1.3582  time: 0.4093  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 4400/21856]  eta: 1:59:28  lr: 0.000020  loss: 0.7758  time: 0.4065  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 4600/21856]  eta: 1:58:03  lr: 0.000020  loss: 2.8317  time: 0.4078  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 4800/21856]  eta: 1:56:39  lr: 0.000020  loss: 2.3598  time: 0.4082  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 5000/21856]  eta: 1:55:16  lr: 0.000020  loss: 0.6892  time: 0.4100  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 5200/21856]  eta: 1:53:53  lr: 0.000020  loss: 0.5106  time: 0.4109  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 5400/21856]  eta: 1:52:30  lr: 0.000020  loss: 2.0077  time: 0.4088  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 5600/21856]  eta: 1:51:07  lr: 0.000020  loss: 0.5435  time: 0.4079  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 5800/21856]  eta: 1:49:43  lr: 0.000020  loss: 1.0037  time: 0.4075  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 6000/21856]  eta: 1:48:20  lr: 0.000020  loss: 1.2808  time: 0.4080  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 6200/21856]  eta: 1:46:57  lr: 0.000020  loss: 2.1585  time: 0.4079  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 6400/21856]  eta: 1:45:34  lr: 0.000020  loss: 1.3560  time: 0.4073  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 6600/21856]  eta: 1:44:10  lr: 0.000020  loss: 0.8721  time: 0.4060  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 6800/21856]  eta: 1:42:46  lr: 0.000020  loss: 0.9731  time: 0.4056  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 7000/21856]  eta: 1:41:24  lr: 0.000020  loss: 1.2474  time: 0.4083  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 7200/21856]  eta: 1:40:01  lr: 0.000020  loss: 1.3279  time: 0.4078  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 7400/21856]  eta: 1:38:39  lr: 0.000020  loss: 0.6475  time: 0.4088  data: 0.0001  max mem: 25898
Train Epoch: [1]  [ 7600/21856]  eta: 1:37:17  lr: 0.000020  loss: 0.8218  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 7800/21856]  eta: 1:35:55  lr: 0.000020  loss: 1.3927  time: 0.4074  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 8000/21856]  eta: 1:34:33  lr: 0.000020  loss: 2.0546  time: 0.4077  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 8200/21856]  eta: 1:33:11  lr: 0.000020  loss: 2.0576  time: 0.4080  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 8400/21856]  eta: 1:31:48  lr: 0.000020  loss: 1.5486  time: 0.4066  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 8600/21856]  eta: 1:30:26  lr: 0.000020  loss: 0.6843  time: 0.4082  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 8800/21856]  eta: 1:29:04  lr: 0.000020  loss: 1.5102  time: 0.4080  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 9000/21856]  eta: 1:27:42  lr: 0.000020  loss: 1.3983  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 9200/21856]  eta: 1:26:20  lr: 0.000020  loss: 0.8186  time: 0.4081  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 9400/21856]  eta: 1:24:57  lr: 0.000020  loss: 0.7730  time: 0.4078  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 9600/21856]  eta: 1:23:35  lr: 0.000020  loss: 1.2169  time: 0.4076  data: 0.0001  max mem: 26053
Train Epoch: [1]  [ 9800/21856]  eta: 1:22:13  lr: 0.000020  loss: 1.2034  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [1]  [10000/21856]  eta: 1:20:51  lr: 0.000020  loss: 0.8023  time: 0.4106  data: 0.0001  max mem: 26053
Train Epoch: [1]  [10200/21856]  eta: 1:19:29  lr: 0.000020  loss: 1.8746  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [1]  [10400/21856]  eta: 1:18:07  lr: 0.000020  loss: 1.0829  time: 0.4083  data: 0.0001  max mem: 26053
Train Epoch: [1]  [10600/21856]  eta: 1:16:45  lr: 0.000020  loss: 1.8159  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [1]  [10800/21856]  eta: 1:15:24  lr: 0.000020  loss: 1.0018  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [1]  [11000/21856]  eta: 1:14:02  lr: 0.000020  loss: 0.9190  time: 0.4083  data: 0.0001  max mem: 26053
Train Epoch: [1]  [11200/21856]  eta: 1:12:40  lr: 0.000020  loss: 0.9517  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [1]  [11400/21856]  eta: 1:11:19  lr: 0.000020  loss: 1.3775  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [1]  [11600/21856]  eta: 1:09:57  lr: 0.000020  loss: 3.3142  time: 0.4079  data: 0.0001  max mem: 26053
Train Epoch: [1]  [11800/21856]  eta: 1:08:35  lr: 0.000020  loss: 0.6200  time: 0.4088  data: 0.0001  max mem: 26053
Train Epoch: [1]  [12000/21856]  eta: 1:07:13  lr: 0.000020  loss: 1.8024  time: 0.4094  data: 0.0001  max mem: 26053
Train Epoch: [1]  [12200/21856]  eta: 1:05:51  lr: 0.000020  loss: 1.1909  time: 0.4077  data: 0.0001  max mem: 26053
Train Epoch: [1]  [12400/21856]  eta: 1:04:29  lr: 0.000020  loss: 1.1789  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [1]  [12600/21856]  eta: 1:03:07  lr: 0.000020  loss: 1.0675  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [1]  [12800/21856]  eta: 1:01:45  lr: 0.000020  loss: 1.0291  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [1]  [13000/21856]  eta: 1:00:23  lr: 0.000020  loss: 0.7108  time: 0.4081  data: 0.0001  max mem: 26053
Train Epoch: [1]  [13200/21856]  eta: 0:59:01  lr: 0.000020  loss: 0.6352  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [1]  [13400/21856]  eta: 0:57:40  lr: 0.000020  loss: 1.1403  time: 0.4066  data: 0.0001  max mem: 26053
Train Epoch: [1]  [13600/21856]  eta: 0:56:18  lr: 0.000020  loss: 0.7099  time: 0.4072  data: 0.0001  max mem: 26053
Train Epoch: [1]  [13800/21856]  eta: 0:54:56  lr: 0.000020  loss: 1.1768  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [1]  [14000/21856]  eta: 0:53:34  lr: 0.000020  loss: 2.6358  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [1]  [14200/21856]  eta: 0:52:12  lr: 0.000020  loss: 1.9107  time: 0.4093  data: 0.0001  max mem: 26053
Train Epoch: [1]  [14400/21856]  eta: 0:50:51  lr: 0.000020  loss: 1.3383  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [1]  [14600/21856]  eta: 0:49:29  lr: 0.000020  loss: 0.7338  time: 0.4079  data: 0.0001  max mem: 26053
Train Epoch: [1]  [14800/21856]  eta: 0:48:07  lr: 0.000020  loss: 1.3843  time: 0.4070  data: 0.0001  max mem: 26053
Train Epoch: [1]  [15000/21856]  eta: 0:46:45  lr: 0.000020  loss: 0.8591  time: 0.4136  data: 0.0001  max mem: 26053
Train Epoch: [1]  [15200/21856]  eta: 0:45:23  lr: 0.000020  loss: 1.5038  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [1]  [15400/21856]  eta: 0:44:01  lr: 0.000020  loss: 1.4783  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [1]  [15600/21856]  eta: 0:42:40  lr: 0.000020  loss: 0.8732  time: 0.4107  data: 0.0001  max mem: 26053
Train Epoch: [1]  [15800/21856]  eta: 0:41:18  lr: 0.000020  loss: 1.4727  time: 0.4088  data: 0.0001  max mem: 26053
Train Epoch: [1]  [16000/21856]  eta: 0:39:56  lr: 0.000020  loss: 1.7471  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [1]  [16200/21856]  eta: 0:38:34  lr: 0.000020  loss: 0.5905  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [1]  [16400/21856]  eta: 0:37:12  lr: 0.000020  loss: 0.4788  time: 0.4079  data: 0.0001  max mem: 26053
Train Epoch: [1]  [16600/21856]  eta: 0:35:50  lr: 0.000020  loss: 0.6111  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [1]  [16800/21856]  eta: 0:34:29  lr: 0.000020  loss: 0.5922  time: 0.4077  data: 0.0001  max mem: 26053
Train Epoch: [1]  [17000/21856]  eta: 0:33:07  lr: 0.000020  loss: 0.6011  time: 0.4110  data: 0.0001  max mem: 26053
Train Epoch: [1]  [17200/21856]  eta: 0:31:45  lr: 0.000020  loss: 0.5428  time: 0.4110  data: 0.0001  max mem: 26053
Train Epoch: [1]  [17400/21856]  eta: 0:30:23  lr: 0.000020  loss: 0.9054  time: 0.4071  data: 0.0001  max mem: 26053
Train Epoch: [1]  [17600/21856]  eta: 0:29:01  lr: 0.000020  loss: 2.1451  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [1]  [17800/21856]  eta: 0:27:39  lr: 0.000020  loss: 5.4866  time: 0.4105  data: 0.0001  max mem: 26053
Train Epoch: [1]  [18000/21856]  eta: 0:26:18  lr: 0.000020  loss: 0.4379  time: 0.4116  data: 0.0001  max mem: 26053
Train Epoch: [1]  [18200/21856]  eta: 0:24:56  lr: 0.000020  loss: 1.8495  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [1]  [18400/21856]  eta: 0:23:34  lr: 0.000020  loss: 1.5213  time: 0.4082  data: 0.0001  max mem: 26053
Train Epoch: [1]  [18600/21856]  eta: 0:22:12  lr: 0.000020  loss: 1.3886  time: 0.4083  data: 0.0001  max mem: 26053
Train Epoch: [1]  [18800/21856]  eta: 0:20:50  lr: 0.000020  loss: 2.7858  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [1]  [19000/21856]  eta: 0:19:28  lr: 0.000020  loss: 0.7762  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [1]  [19200/21856]  eta: 0:18:07  lr: 0.000020  loss: 1.1121  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [1]  [19400/21856]  eta: 0:16:45  lr: 0.000020  loss: 1.5331  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [1]  [19600/21856]  eta: 0:15:23  lr: 0.000020  loss: 1.5903  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [1]  [19800/21856]  eta: 0:14:01  lr: 0.000020  loss: 0.9397  time: 0.4093  data: 0.0001  max mem: 26053
Train Epoch: [1]  [20000/21856]  eta: 0:12:39  lr: 0.000020  loss: 3.0390  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [1]  [20200/21856]  eta: 0:11:17  lr: 0.000020  loss: 1.5304  time: 0.4116  data: 0.0001  max mem: 26053
Train Epoch: [1]  [20400/21856]  eta: 0:09:55  lr: 0.000020  loss: 1.3249  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [1]  [20600/21856]  eta: 0:08:34  lr: 0.000020  loss: 1.0753  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [1]  [20800/21856]  eta: 0:07:12  lr: 0.000020  loss: 0.5507  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [1]  [21000/21856]  eta: 0:05:50  lr: 0.000020  loss: 1.7477  time: 0.4084  data: 0.0001  max mem: 26053
Train Epoch: [1]  [21200/21856]  eta: 0:04:28  lr: 0.000020  loss: 1.8522  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [1]  [21400/21856]  eta: 0:03:06  lr: 0.000020  loss: 0.9637  time: 0.4080  data: 0.0001  max mem: 26053
Train Epoch: [1]  [21600/21856]  eta: 0:01:44  lr: 0.000020  loss: 1.0480  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [1]  [21800/21856]  eta: 0:00:22  lr: 0.000020  loss: 1.1329  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [1]  [21855/21856]  eta: 0:00:00  lr: 0.000020  loss: 2.4185  time: 0.4047  data: 0.0006  max mem: 26053
Train Epoch: [1] Total time: 2:29:06 (0.4093 s / it)
Averaged stats: lr: 0.0000  loss: 1.2521
Train Epoch: [2]  [    0/21856]  eta: 9:15:20  lr: 0.000018  loss: 0.8217  time: 1.5245  data: 0.8666  max mem: 26053
Train Epoch: [2]  [  200/21856]  eta: 2:30:38  lr: 0.000018  loss: 1.3488  time: 0.4105  data: 0.0001  max mem: 26053
Train Epoch: [2]  [  400/21856]  eta: 2:27:43  lr: 0.000018  loss: 1.3175  time: 0.4080  data: 0.0001  max mem: 26053
Train Epoch: [2]  [  600/21856]  eta: 2:25:49  lr: 0.000018  loss: 1.3011  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [2]  [  800/21856]  eta: 2:24:13  lr: 0.000018  loss: 0.7883  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 1000/21856]  eta: 2:22:43  lr: 0.000018  loss: 0.5653  time: 0.4111  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 1200/21856]  eta: 2:21:16  lr: 0.000018  loss: 0.9404  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 1400/21856]  eta: 2:19:54  lr: 0.000018  loss: 1.1697  time: 0.4117  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 1600/21856]  eta: 2:18:31  lr: 0.000018  loss: 1.8517  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 1800/21856]  eta: 2:17:09  lr: 0.000018  loss: 1.1691  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 2000/21856]  eta: 2:15:48  lr: 0.000018  loss: 1.2069  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 2200/21856]  eta: 2:14:26  lr: 0.000018  loss: 0.8923  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 2400/21856]  eta: 2:13:03  lr: 0.000018  loss: 1.2334  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 2600/21856]  eta: 2:11:43  lr: 0.000018  loss: 0.9613  time: 0.4134  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 2800/21856]  eta: 2:10:25  lr: 0.000018  loss: 0.5954  time: 0.4127  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 3000/21856]  eta: 2:09:04  lr: 0.000018  loss: 1.9769  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 3200/21856]  eta: 2:07:39  lr: 0.000018  loss: 0.9762  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 3400/21856]  eta: 2:06:16  lr: 0.000018  loss: 1.0140  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 3600/21856]  eta: 2:04:55  lr: 0.000018  loss: 1.2808  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 3800/21856]  eta: 2:03:32  lr: 0.000018  loss: 1.0401  time: 0.4098  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 4000/21856]  eta: 2:02:08  lr: 0.000018  loss: 0.9460  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 4200/21856]  eta: 2:00:44  lr: 0.000018  loss: 0.8972  time: 0.4076  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 4400/21856]  eta: 1:59:20  lr: 0.000018  loss: 1.9309  time: 0.4079  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 4600/21856]  eta: 1:57:57  lr: 0.000018  loss: 0.9984  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 4800/21856]  eta: 1:56:34  lr: 0.000018  loss: 0.9809  time: 0.4081  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 5000/21856]  eta: 1:55:10  lr: 0.000018  loss: 0.5476  time: 0.4076  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 5200/21856]  eta: 1:53:48  lr: 0.000018  loss: 1.4256  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 5400/21856]  eta: 1:52:25  lr: 0.000018  loss: 1.6350  time: 0.4111  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 5600/21856]  eta: 1:51:03  lr: 0.000018  loss: 0.7903  time: 0.4068  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 5800/21856]  eta: 1:49:40  lr: 0.000018  loss: 0.6384  time: 0.4069  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 6000/21856]  eta: 1:48:17  lr: 0.000018  loss: 0.8959  time: 0.4076  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 6200/21856]  eta: 1:46:55  lr: 0.000018  loss: 1.4528  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 6400/21856]  eta: 1:45:32  lr: 0.000018  loss: 2.2687  time: 0.4075  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 6600/21856]  eta: 1:44:09  lr: 0.000018  loss: 1.0012  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 6800/21856]  eta: 1:42:47  lr: 0.000018  loss: 0.8821  time: 0.4081  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 7000/21856]  eta: 1:41:24  lr: 0.000018  loss: 1.3347  time: 0.4107  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 7200/21856]  eta: 1:40:02  lr: 0.000018  loss: 1.9983  time: 0.4082  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 7400/21856]  eta: 1:38:39  lr: 0.000018  loss: 0.7954  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 7600/21856]  eta: 1:37:17  lr: 0.000018  loss: 0.5170  time: 0.4067  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 7800/21856]  eta: 1:35:54  lr: 0.000018  loss: 0.7329  time: 0.4078  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 8000/21856]  eta: 1:34:32  lr: 0.000018  loss: 1.1897  time: 0.4080  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 8200/21856]  eta: 1:33:10  lr: 0.000018  loss: 2.3155  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 8400/21856]  eta: 1:31:50  lr: 0.000018  loss: 2.0048  time: 0.4182  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 8600/21856]  eta: 1:30:30  lr: 0.000018  loss: 0.8884  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 8800/21856]  eta: 1:29:08  lr: 0.000018  loss: 0.6405  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 9000/21856]  eta: 1:27:47  lr: 0.000018  loss: 1.7639  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 9200/21856]  eta: 1:26:25  lr: 0.000018  loss: 1.4709  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 9400/21856]  eta: 1:25:04  lr: 0.000018  loss: 2.0753  time: 0.4127  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 9600/21856]  eta: 1:23:43  lr: 0.000018  loss: 1.0543  time: 0.4120  data: 0.0001  max mem: 26053
Train Epoch: [2]  [ 9800/21856]  eta: 1:22:21  lr: 0.000018  loss: 0.5739  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [2]  [10000/21856]  eta: 1:21:00  lr: 0.000018  loss: 1.7140  time: 0.4137  data: 0.0001  max mem: 26053
Train Epoch: [2]  [10200/21856]  eta: 1:19:39  lr: 0.000018  loss: 1.2441  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [2]  [10400/21856]  eta: 1:18:17  lr: 0.000018  loss: 1.4804  time: 0.4110  data: 0.0001  max mem: 26053
Train Epoch: [2]  [10600/21856]  eta: 1:16:55  lr: 0.000018  loss: 0.8435  time: 0.4108  data: 0.0001  max mem: 26053
Train Epoch: [2]  [10800/21856]  eta: 1:15:34  lr: 0.000018  loss: 0.8664  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [2]  [11000/21856]  eta: 1:14:12  lr: 0.000018  loss: 1.0866  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [2]  [11200/21856]  eta: 1:12:50  lr: 0.000018  loss: 0.9863  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [2]  [11400/21856]  eta: 1:11:28  lr: 0.000018  loss: 1.1342  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [2]  [11600/21856]  eta: 1:10:06  lr: 0.000018  loss: 1.5102  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [2]  [11800/21856]  eta: 1:08:44  lr: 0.000018  loss: 1.3818  time: 0.4094  data: 0.0001  max mem: 26053
Train Epoch: [2]  [12000/21856]  eta: 1:07:22  lr: 0.000018  loss: 2.1625  time: 0.4081  data: 0.0001  max mem: 26053
Train Epoch: [2]  [12200/21856]  eta: 1:06:00  lr: 0.000018  loss: 1.3271  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [2]  [12400/21856]  eta: 1:04:38  lr: 0.000018  loss: 0.6154  time: 0.4093  data: 0.0001  max mem: 26053
Train Epoch: [2]  [12600/21856]  eta: 1:03:15  lr: 0.000018  loss: 0.8130  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [2]  [12800/21856]  eta: 1:01:54  lr: 0.000018  loss: 1.1783  time: 0.4110  data: 0.0001  max mem: 26053
Train Epoch: [2]  [13000/21856]  eta: 1:00:32  lr: 0.000018  loss: 1.1014  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [2]  [13200/21856]  eta: 0:59:09  lr: 0.000018  loss: 1.4174  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [2]  [13400/21856]  eta: 0:57:48  lr: 0.000018  loss: 2.1201  time: 0.4106  data: 0.0001  max mem: 26053
Train Epoch: [2]  [13600/21856]  eta: 0:56:26  lr: 0.000018  loss: 1.7222  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [2]  [13800/21856]  eta: 0:55:03  lr: 0.000018  loss: 0.9453  time: 0.4094  data: 0.0001  max mem: 26053
Train Epoch: [2]  [14000/21856]  eta: 0:53:41  lr: 0.000018  loss: 0.6848  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [2]  [14200/21856]  eta: 0:52:20  lr: 0.000018  loss: 2.2070  time: 0.4131  data: 0.0001  max mem: 26053
Train Epoch: [2]  [14400/21856]  eta: 0:50:58  lr: 0.000018  loss: 0.4103  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [2]  [14600/21856]  eta: 0:49:36  lr: 0.000018  loss: 1.4108  time: 0.4101  data: 0.0001  max mem: 26053
Train Epoch: [2]  [14800/21856]  eta: 0:48:14  lr: 0.000018  loss: 0.4624  time: 0.4111  data: 0.0001  max mem: 26053
Train Epoch: [2]  [15000/21856]  eta: 0:46:52  lr: 0.000018  loss: 2.0391  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [2]  [15200/21856]  eta: 0:45:30  lr: 0.000018  loss: 0.5261  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [2]  [15400/21856]  eta: 0:44:07  lr: 0.000018  loss: 1.0870  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [2]  [15600/21856]  eta: 0:42:45  lr: 0.000018  loss: 2.6609  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [2]  [15800/21856]  eta: 0:41:23  lr: 0.000018  loss: 1.0872  time: 0.4101  data: 0.0001  max mem: 26053
Train Epoch: [2]  [16000/21856]  eta: 0:40:01  lr: 0.000018  loss: 1.0210  time: 0.4084  data: 0.0001  max mem: 26053
Train Epoch: [2]  [16200/21856]  eta: 0:38:39  lr: 0.000018  loss: 0.8533  time: 0.4094  data: 0.0001  max mem: 26053
Train Epoch: [2]  [16400/21856]  eta: 0:37:17  lr: 0.000018  loss: 0.9123  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [2]  [16600/21856]  eta: 0:35:55  lr: 0.000018  loss: 0.6470  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [2]  [16800/21856]  eta: 0:34:33  lr: 0.000018  loss: 1.0129  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [2]  [17000/21856]  eta: 0:33:11  lr: 0.000018  loss: 0.8883  time: 0.4098  data: 0.0001  max mem: 26053
Train Epoch: [2]  [17200/21856]  eta: 0:31:49  lr: 0.000018  loss: 1.9117  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [2]  [17400/21856]  eta: 0:30:27  lr: 0.000018  loss: 0.6515  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [2]  [17600/21856]  eta: 0:29:05  lr: 0.000018  loss: 1.0386  time: 0.4084  data: 0.0001  max mem: 26053
Train Epoch: [2]  [17800/21856]  eta: 0:27:43  lr: 0.000018  loss: 1.3893  time: 0.4108  data: 0.0001  max mem: 26053
Train Epoch: [2]  [18000/21856]  eta: 0:26:21  lr: 0.000018  loss: 0.6529  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [2]  [18200/21856]  eta: 0:24:59  lr: 0.000018  loss: 0.3996  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [2]  [18400/21856]  eta: 0:23:37  lr: 0.000018  loss: 0.6323  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [2]  [18600/21856]  eta: 0:22:15  lr: 0.000018  loss: 0.8393  time: 0.4080  data: 0.0001  max mem: 26053
Train Epoch: [2]  [18800/21856]  eta: 0:20:53  lr: 0.000018  loss: 1.2431  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [2]  [19000/21856]  eta: 0:19:30  lr: 0.000018  loss: 1.2487  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [2]  [19200/21856]  eta: 0:18:08  lr: 0.000018  loss: 0.9135  time: 0.4187  data: 0.0001  max mem: 26053
Train Epoch: [2]  [19400/21856]  eta: 0:16:47  lr: 0.000018  loss: 0.5926  time: 0.4142  data: 0.0001  max mem: 26053
Train Epoch: [2]  [19600/21856]  eta: 0:15:25  lr: 0.000018  loss: 1.1649  time: 0.4120  data: 0.0001  max mem: 26053
Train Epoch: [2]  [19800/21856]  eta: 0:14:03  lr: 0.000018  loss: 1.5477  time: 0.4150  data: 0.0001  max mem: 26053
Train Epoch: [2]  [20000/21856]  eta: 0:12:41  lr: 0.000018  loss: 1.3304  time: 0.4127  data: 0.0001  max mem: 26053
Train Epoch: [2]  [20200/21856]  eta: 0:11:19  lr: 0.000018  loss: 1.3405  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [2]  [20400/21856]  eta: 0:09:57  lr: 0.000018  loss: 1.7411  time: 0.4133  data: 0.0001  max mem: 26053
Train Epoch: [2]  [20600/21856]  eta: 0:08:35  lr: 0.000018  loss: 1.0719  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [2]  [20800/21856]  eta: 0:07:13  lr: 0.000018  loss: 0.5447  time: 0.4110  data: 0.0001  max mem: 26053
Train Epoch: [2]  [21000/21856]  eta: 0:05:51  lr: 0.000018  loss: 2.6834  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [2]  [21200/21856]  eta: 0:04:29  lr: 0.000018  loss: 0.8332  time: 0.4185  data: 0.0001  max mem: 26053
Train Epoch: [2]  [21400/21856]  eta: 0:03:07  lr: 0.000018  loss: 1.5429  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [2]  [21600/21856]  eta: 0:01:45  lr: 0.000018  loss: 1.1166  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [2]  [21800/21856]  eta: 0:00:22  lr: 0.000018  loss: 1.2238  time: 0.4114  data: 0.0001  max mem: 26053
Train Epoch: [2]  [21855/21856]  eta: 0:00:00  lr: 0.000018  loss: 0.8352  time: 0.4085  data: 0.0006  max mem: 26053
Train Epoch: [2] Total time: 2:29:29 (0.4104 s / it)
Averaged stats: lr: 0.0000  loss: 1.1632
Train Epoch: [3]  [    0/21856]  eta: 9:09:52  lr: 0.000016  loss: 1.0150  time: 1.5095  data: 0.9287  max mem: 26053
Train Epoch: [3]  [  200/21856]  eta: 2:31:55  lr: 0.000016  loss: 0.8804  time: 0.4127  data: 0.0001  max mem: 26053
Train Epoch: [3]  [  400/21856]  eta: 2:28:58  lr: 0.000016  loss: 0.7357  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [3]  [  600/21856]  eta: 2:27:01  lr: 0.000016  loss: 0.9289  time: 0.4115  data: 0.0001  max mem: 26053
Train Epoch: [3]  [  800/21856]  eta: 2:25:20  lr: 0.000016  loss: 0.8988  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 1000/21856]  eta: 2:23:54  lr: 0.000016  loss: 1.1135  time: 0.4118  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 1200/21856]  eta: 2:22:30  lr: 0.000016  loss: 1.6623  time: 0.4146  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 1400/21856]  eta: 2:21:06  lr: 0.000016  loss: 1.4708  time: 0.4142  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 1600/21856]  eta: 2:19:41  lr: 0.000016  loss: 1.4649  time: 0.4130  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 1800/21856]  eta: 2:18:18  lr: 0.000016  loss: 0.4539  time: 0.4131  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 2000/21856]  eta: 2:16:58  lr: 0.000016  loss: 1.4455  time: 0.4149  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 2200/21856]  eta: 2:15:40  lr: 0.000016  loss: 0.7768  time: 0.4239  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 2400/21856]  eta: 2:14:22  lr: 0.000016  loss: 0.6714  time: 0.4170  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 2600/21856]  eta: 2:13:06  lr: 0.000016  loss: 1.2020  time: 0.4194  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 2800/21856]  eta: 2:11:53  lr: 0.000016  loss: 0.4897  time: 0.4218  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 3000/21856]  eta: 2:10:37  lr: 0.000016  loss: 1.2112  time: 0.4221  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 3200/21856]  eta: 2:09:17  lr: 0.000016  loss: 1.8818  time: 0.4217  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 3400/21856]  eta: 2:08:01  lr: 0.000016  loss: 0.6268  time: 0.4252  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 3600/21856]  eta: 2:06:41  lr: 0.000016  loss: 1.0636  time: 0.4135  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 3800/21856]  eta: 2:05:16  lr: 0.000016  loss: 1.7080  time: 0.4153  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 4000/21856]  eta: 2:03:52  lr: 0.000016  loss: 0.8027  time: 0.4150  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 4200/21856]  eta: 2:02:27  lr: 0.000016  loss: 1.6562  time: 0.4170  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 4400/21856]  eta: 2:01:03  lr: 0.000016  loss: 1.1704  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 4600/21856]  eta: 1:59:36  lr: 0.000016  loss: 1.8119  time: 0.4108  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 4800/21856]  eta: 1:58:11  lr: 0.000016  loss: 0.6941  time: 0.4130  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 5000/21856]  eta: 1:56:45  lr: 0.000016  loss: 1.1967  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 5200/21856]  eta: 1:55:19  lr: 0.000016  loss: 0.9548  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 5400/21856]  eta: 1:53:52  lr: 0.000016  loss: 1.0446  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 5600/21856]  eta: 1:52:27  lr: 0.000016  loss: 0.9192  time: 0.4139  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 5800/21856]  eta: 1:51:02  lr: 0.000016  loss: 0.9040  time: 0.4151  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 6000/21856]  eta: 1:49:37  lr: 0.000016  loss: 0.7169  time: 0.4094  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 6200/21856]  eta: 1:48:12  lr: 0.000016  loss: 0.5106  time: 0.4147  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 6400/21856]  eta: 1:46:48  lr: 0.000016  loss: 0.8893  time: 0.4070  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 6600/21856]  eta: 1:45:22  lr: 0.000016  loss: 0.9538  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 6800/21856]  eta: 1:43:57  lr: 0.000016  loss: 1.1602  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 7000/21856]  eta: 1:42:32  lr: 0.000016  loss: 1.4022  time: 0.4116  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 7200/21856]  eta: 1:41:08  lr: 0.000016  loss: 2.0400  time: 0.4111  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 7400/21856]  eta: 1:39:44  lr: 0.000016  loss: 0.4943  time: 0.4114  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 7600/21856]  eta: 1:38:21  lr: 0.000016  loss: 1.4759  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 7800/21856]  eta: 1:36:57  lr: 0.000016  loss: 1.0712  time: 0.4111  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 8000/21856]  eta: 1:35:33  lr: 0.000016  loss: 1.0998  time: 0.4098  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 8200/21856]  eta: 1:34:09  lr: 0.000016  loss: 0.7728  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 8400/21856]  eta: 1:32:46  lr: 0.000016  loss: 1.9954  time: 0.4131  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 8600/21856]  eta: 1:31:22  lr: 0.000016  loss: 1.2837  time: 0.4098  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 8800/21856]  eta: 1:29:59  lr: 0.000016  loss: 1.5724  time: 0.4137  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 9000/21856]  eta: 1:28:36  lr: 0.000016  loss: 2.0510  time: 0.4135  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 9200/21856]  eta: 1:27:13  lr: 0.000016  loss: 0.9478  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 9400/21856]  eta: 1:25:51  lr: 0.000016  loss: 0.8567  time: 0.4159  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 9600/21856]  eta: 1:24:29  lr: 0.000016  loss: 1.7532  time: 0.4154  data: 0.0001  max mem: 26053
Train Epoch: [3]  [ 9800/21856]  eta: 1:23:06  lr: 0.000016  loss: 0.6980  time: 0.4145  data: 0.0001  max mem: 26053
Train Epoch: [3]  [10000/21856]  eta: 1:21:43  lr: 0.000016  loss: 0.3733  time: 0.4123  data: 0.0001  max mem: 26053
Train Epoch: [3]  [10200/21856]  eta: 1:20:20  lr: 0.000016  loss: 0.5501  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [3]  [10400/21856]  eta: 1:18:57  lr: 0.000016  loss: 1.0353  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [3]  [10600/21856]  eta: 1:17:33  lr: 0.000016  loss: 0.9613  time: 0.4106  data: 0.0001  max mem: 26053
Train Epoch: [3]  [10800/21856]  eta: 1:16:11  lr: 0.000016  loss: 0.8300  time: 0.4145  data: 0.0001  max mem: 26053
Train Epoch: [3]  [11000/21856]  eta: 1:14:48  lr: 0.000016  loss: 1.0853  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [3]  [11200/21856]  eta: 1:13:25  lr: 0.000016  loss: 0.8489  time: 0.4141  data: 0.0001  max mem: 26053
Train Epoch: [3]  [11400/21856]  eta: 1:12:02  lr: 0.000016  loss: 0.3983  time: 0.4101  data: 0.0001  max mem: 26053
Train Epoch: [3]  [11600/21856]  eta: 1:10:39  lr: 0.000016  loss: 0.7779  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [3]  [11800/21856]  eta: 1:09:16  lr: 0.000016  loss: 2.1987  time: 0.4107  data: 0.0001  max mem: 26053
Train Epoch: [3]  [12000/21856]  eta: 1:07:52  lr: 0.000016  loss: 0.5836  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [3]  [12200/21856]  eta: 1:06:29  lr: 0.000016  loss: 1.2757  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [3]  [12400/21856]  eta: 1:05:07  lr: 0.000016  loss: 1.8080  time: 0.4134  data: 0.0001  max mem: 26053
Train Epoch: [3]  [12600/21856]  eta: 1:03:44  lr: 0.000016  loss: 0.9134  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [3]  [12800/21856]  eta: 1:02:21  lr: 0.000016  loss: 0.8960  time: 0.4144  data: 0.0001  max mem: 26053
Train Epoch: [3]  [13000/21856]  eta: 1:00:59  lr: 0.000016  loss: 1.2170  time: 0.4153  data: 0.0001  max mem: 26053
Train Epoch: [3]  [13200/21856]  eta: 0:59:36  lr: 0.000016  loss: 0.6452  time: 0.4127  data: 0.0001  max mem: 26053
Train Epoch: [3]  [13400/21856]  eta: 0:58:14  lr: 0.000016  loss: 0.4130  time: 0.4166  data: 0.0001  max mem: 26053
Train Epoch: [3]  [13600/21856]  eta: 0:56:51  lr: 0.000016  loss: 0.9624  time: 0.4190  data: 0.0001  max mem: 26053
Train Epoch: [3]  [13800/21856]  eta: 0:55:29  lr: 0.000016  loss: 0.7035  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [3]  [14000/21856]  eta: 0:54:06  lr: 0.000016  loss: 1.3013  time: 0.4117  data: 0.0001  max mem: 26053
Train Epoch: [3]  [14200/21856]  eta: 0:52:43  lr: 0.000016  loss: 1.3958  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [3]  [14400/21856]  eta: 0:51:20  lr: 0.000016  loss: 0.9130  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [3]  [14600/21856]  eta: 0:49:57  lr: 0.000016  loss: 0.6604  time: 0.4093  data: 0.0001  max mem: 26053
Train Epoch: [3]  [14800/21856]  eta: 0:48:34  lr: 0.000016  loss: 1.3906  time: 0.4101  data: 0.0001  max mem: 26053
Train Epoch: [3]  [15000/21856]  eta: 0:47:11  lr: 0.000016  loss: 0.3048  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [3]  [15200/21856]  eta: 0:45:48  lr: 0.000016  loss: 1.8362  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [3]  [15400/21856]  eta: 0:44:25  lr: 0.000016  loss: 1.3548  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [3]  [15600/21856]  eta: 0:43:02  lr: 0.000016  loss: 1.0185  time: 0.4081  data: 0.0001  max mem: 26053
Train Epoch: [3]  [15800/21856]  eta: 0:41:39  lr: 0.000016  loss: 1.5860  time: 0.4067  data: 0.0001  max mem: 26053
Train Epoch: [3]  [16000/21856]  eta: 0:40:16  lr: 0.000016  loss: 0.8856  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [3]  [16200/21856]  eta: 0:38:54  lr: 0.000016  loss: 0.5436  time: 0.4079  data: 0.0001  max mem: 26053
Train Epoch: [3]  [16400/21856]  eta: 0:37:31  lr: 0.000016  loss: 0.9513  time: 0.4072  data: 0.0001  max mem: 26053
Train Epoch: [3]  [16600/21856]  eta: 0:36:08  lr: 0.000016  loss: 1.2395  time: 0.4075  data: 0.0001  max mem: 26053
Train Epoch: [3]  [16800/21856]  eta: 0:34:45  lr: 0.000016  loss: 1.4251  time: 0.4060  data: 0.0001  max mem: 26053
Train Epoch: [3]  [17000/21856]  eta: 0:33:22  lr: 0.000016  loss: 0.5811  time: 0.4055  data: 0.0001  max mem: 26053
Train Epoch: [3]  [17200/21856]  eta: 0:31:59  lr: 0.000016  loss: 0.8445  time: 0.4064  data: 0.0001  max mem: 26053
Train Epoch: [3]  [17400/21856]  eta: 0:30:37  lr: 0.000016  loss: 0.4867  time: 0.4074  data: 0.0001  max mem: 26053
Train Epoch: [3]  [17600/21856]  eta: 0:29:14  lr: 0.000016  loss: 1.1719  time: 0.4066  data: 0.0001  max mem: 26053
Train Epoch: [3]  [17800/21856]  eta: 0:27:51  lr: 0.000016  loss: 3.2996  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [3]  [18000/21856]  eta: 0:26:29  lr: 0.000016  loss: 1.2486  time: 0.4067  data: 0.0001  max mem: 26053
Train Epoch: [3]  [18200/21856]  eta: 0:25:06  lr: 0.000016  loss: 1.9926  time: 0.4079  data: 0.0001  max mem: 26053
Train Epoch: [3]  [18400/21856]  eta: 0:23:44  lr: 0.000016  loss: 2.2996  time: 0.4070  data: 0.0001  max mem: 26053
Train Epoch: [3]  [18600/21856]  eta: 0:22:21  lr: 0.000016  loss: 1.6880  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [3]  [18800/21856]  eta: 0:20:59  lr: 0.000016  loss: 1.7791  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [3]  [19000/21856]  eta: 0:19:36  lr: 0.000016  loss: 0.6086  time: 0.4108  data: 0.0001  max mem: 26053
Train Epoch: [3]  [19200/21856]  eta: 0:18:14  lr: 0.000016  loss: 1.1363  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [3]  [19400/21856]  eta: 0:16:51  lr: 0.000016  loss: 0.9549  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [3]  [19600/21856]  eta: 0:15:29  lr: 0.000016  loss: 1.4088  time: 0.4111  data: 0.0001  max mem: 26053
Train Epoch: [3]  [19800/21856]  eta: 0:14:07  lr: 0.000016  loss: 0.9542  time: 0.4108  data: 0.0001  max mem: 26053
Train Epoch: [3]  [20000/21856]  eta: 0:12:44  lr: 0.000016  loss: 0.4816  time: 0.4166  data: 0.0001  max mem: 26053
Train Epoch: [3]  [20200/21856]  eta: 0:11:22  lr: 0.000016  loss: 1.7061  time: 0.4107  data: 0.0001  max mem: 26053
Train Epoch: [3]  [20400/21856]  eta: 0:09:59  lr: 0.000016  loss: 0.8047  time: 0.4141  data: 0.0001  max mem: 26053
Train Epoch: [3]  [20600/21856]  eta: 0:08:37  lr: 0.000016  loss: 0.4186  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [3]  [20800/21856]  eta: 0:07:15  lr: 0.000016  loss: 0.7403  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [3]  [21000/21856]  eta: 0:05:52  lr: 0.000016  loss: 0.9832  time: 0.4152  data: 0.0001  max mem: 26053
Train Epoch: [3]  [21200/21856]  eta: 0:04:30  lr: 0.000016  loss: 1.1343  time: 0.4111  data: 0.0001  max mem: 26053
Train Epoch: [3]  [21400/21856]  eta: 0:03:07  lr: 0.000016  loss: 1.5015  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [3]  [21600/21856]  eta: 0:01:45  lr: 0.000016  loss: 0.6444  time: 0.4131  data: 0.0001  max mem: 26053
Train Epoch: [3]  [21800/21856]  eta: 0:00:23  lr: 0.000016  loss: 0.9906  time: 0.4083  data: 0.0001  max mem: 26053
Train Epoch: [3]  [21855/21856]  eta: 0:00:00  lr: 0.000016  loss: 2.0112  time: 0.4046  data: 0.0006  max mem: 26053
Train Epoch: [3] Total time: 2:30:06 (0.4121 s / it)
Averaged stats: lr: 0.0000  loss: 1.0963
Train Epoch: [4]  [    0/21856]  eta: 9:20:34  lr: 0.000013  loss: 0.3207  time: 1.5389  data: 0.9148  max mem: 26053
Train Epoch: [4]  [  200/21856]  eta: 2:29:54  lr: 0.000013  loss: 1.0391  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [4]  [  400/21856]  eta: 2:27:23  lr: 0.000013  loss: 0.8267  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [4]  [  600/21856]  eta: 2:25:42  lr: 0.000013  loss: 0.6241  time: 0.4080  data: 0.0001  max mem: 26053
Train Epoch: [4]  [  800/21856]  eta: 2:24:13  lr: 0.000013  loss: 1.8631  time: 0.4111  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 1000/21856]  eta: 2:22:47  lr: 0.000013  loss: 1.3281  time: 0.4107  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 1200/21856]  eta: 2:21:26  lr: 0.000013  loss: 0.5550  time: 0.4120  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 1400/21856]  eta: 2:20:06  lr: 0.000013  loss: 1.1215  time: 0.4123  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 1600/21856]  eta: 2:18:48  lr: 0.000013  loss: 1.2385  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 1800/21856]  eta: 2:17:23  lr: 0.000013  loss: 1.0889  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 2000/21856]  eta: 2:15:56  lr: 0.000013  loss: 0.6895  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 2200/21856]  eta: 2:14:30  lr: 0.000013  loss: 0.9288  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 2400/21856]  eta: 2:13:04  lr: 0.000013  loss: 0.6840  time: 0.4082  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 2600/21856]  eta: 2:11:40  lr: 0.000013  loss: 0.9996  time: 0.4073  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 2800/21856]  eta: 2:10:15  lr: 0.000013  loss: 0.8403  time: 0.4078  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 3000/21856]  eta: 2:08:53  lr: 0.000013  loss: 1.5667  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 3200/21856]  eta: 2:07:31  lr: 0.000013  loss: 0.9160  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 3400/21856]  eta: 2:06:07  lr: 0.000013  loss: 0.3937  time: 0.4081  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 3600/21856]  eta: 2:04:44  lr: 0.000013  loss: 0.8682  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 3800/21856]  eta: 2:03:22  lr: 0.000013  loss: 0.4490  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 4000/21856]  eta: 2:01:59  lr: 0.000013  loss: 0.8832  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 4200/21856]  eta: 2:00:37  lr: 0.000013  loss: 0.3965  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 4400/21856]  eta: 1:59:15  lr: 0.000013  loss: 0.8621  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 4600/21856]  eta: 1:57:53  lr: 0.000013  loss: 2.0426  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 4800/21856]  eta: 1:56:31  lr: 0.000013  loss: 1.1915  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 5000/21856]  eta: 1:55:09  lr: 0.000013  loss: 0.6097  time: 0.4101  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 5200/21856]  eta: 1:53:47  lr: 0.000013  loss: 1.3035  time: 0.4105  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 5400/21856]  eta: 1:52:25  lr: 0.000013  loss: 1.4885  time: 0.4106  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 5600/21856]  eta: 1:51:03  lr: 0.000013  loss: 0.4519  time: 0.4088  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 5800/21856]  eta: 1:49:41  lr: 0.000013  loss: 1.8505  time: 0.4079  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 6000/21856]  eta: 1:48:20  lr: 0.000013  loss: 0.3800  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 6200/21856]  eta: 1:46:58  lr: 0.000013  loss: 1.1820  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 6400/21856]  eta: 1:45:36  lr: 0.000013  loss: 0.9857  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 6600/21856]  eta: 1:44:14  lr: 0.000013  loss: 1.1673  time: 0.4088  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 6800/21856]  eta: 1:42:51  lr: 0.000013  loss: 2.1059  time: 0.4110  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 7000/21856]  eta: 1:41:29  lr: 0.000013  loss: 1.9361  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 7200/21856]  eta: 1:40:07  lr: 0.000013  loss: 1.4025  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 7400/21856]  eta: 1:38:45  lr: 0.000013  loss: 1.6259  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 7600/21856]  eta: 1:37:23  lr: 0.000013  loss: 0.8307  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 7800/21856]  eta: 1:36:01  lr: 0.000013  loss: 0.6518  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 8000/21856]  eta: 1:34:39  lr: 0.000013  loss: 1.0855  time: 0.4108  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 8200/21856]  eta: 1:33:16  lr: 0.000013  loss: 0.4912  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 8400/21856]  eta: 1:31:54  lr: 0.000013  loss: 0.9840  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 8600/21856]  eta: 1:30:32  lr: 0.000013  loss: 0.8954  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 8800/21856]  eta: 1:29:10  lr: 0.000013  loss: 0.7396  time: 0.4098  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 9000/21856]  eta: 1:27:49  lr: 0.000013  loss: 0.8320  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 9200/21856]  eta: 1:26:27  lr: 0.000013  loss: 0.8685  time: 0.4117  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 9400/21856]  eta: 1:25:05  lr: 0.000013  loss: 0.9391  time: 0.4094  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 9600/21856]  eta: 1:23:42  lr: 0.000013  loss: 0.5102  time: 0.4098  data: 0.0001  max mem: 26053
Train Epoch: [4]  [ 9800/21856]  eta: 1:22:21  lr: 0.000013  loss: 1.2334  time: 0.4115  data: 0.0001  max mem: 26053
Train Epoch: [4]  [10000/21856]  eta: 1:21:00  lr: 0.000013  loss: 0.8654  time: 0.4146  data: 0.0001  max mem: 26053
Train Epoch: [4]  [10200/21856]  eta: 1:19:38  lr: 0.000013  loss: 1.0888  time: 0.4083  data: 0.0001  max mem: 26053
Train Epoch: [4]  [10400/21856]  eta: 1:18:16  lr: 0.000013  loss: 1.4341  time: 0.4089  data: 0.0001  max mem: 26053
Train Epoch: [4]  [10600/21856]  eta: 1:16:53  lr: 0.000013  loss: 1.2551  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [4]  [10800/21856]  eta: 1:15:31  lr: 0.000013  loss: 0.9535  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [4]  [11000/21856]  eta: 1:14:09  lr: 0.000013  loss: 1.0445  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [4]  [11200/21856]  eta: 1:12:47  lr: 0.000013  loss: 0.7702  time: 0.4076  data: 0.0001  max mem: 26053
Train Epoch: [4]  [11400/21856]  eta: 1:11:25  lr: 0.000013  loss: 0.3514  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [4]  [11600/21856]  eta: 1:10:02  lr: 0.000013  loss: 0.9903  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [4]  [11800/21856]  eta: 1:08:40  lr: 0.000013  loss: 1.2861  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [4]  [12000/21856]  eta: 1:07:18  lr: 0.000013  loss: 0.4620  time: 0.4079  data: 0.0001  max mem: 26053
Train Epoch: [4]  [12200/21856]  eta: 1:05:56  lr: 0.000013  loss: 1.2440  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [4]  [12400/21856]  eta: 1:04:34  lr: 0.000013  loss: 1.0906  time: 0.4084  data: 0.0001  max mem: 26053
Train Epoch: [4]  [12600/21856]  eta: 1:03:12  lr: 0.000013  loss: 0.8720  time: 0.4084  data: 0.0001  max mem: 26053
Train Epoch: [4]  [12800/21856]  eta: 1:01:50  lr: 0.000013  loss: 0.4606  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [4]  [13000/21856]  eta: 1:00:28  lr: 0.000013  loss: 0.6923  time: 0.4088  data: 0.0001  max mem: 26053
Train Epoch: [4]  [13200/21856]  eta: 0:59:06  lr: 0.000013  loss: 0.9695  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [4]  [13400/21856]  eta: 0:57:44  lr: 0.000013  loss: 1.0128  time: 0.4093  data: 0.0001  max mem: 26053
Train Epoch: [4]  [13600/21856]  eta: 0:56:22  lr: 0.000013  loss: 0.4583  time: 0.4086  data: 0.0001  max mem: 26053
Train Epoch: [4]  [13800/21856]  eta: 0:54:59  lr: 0.000013  loss: 1.0342  time: 0.4068  data: 0.0001  max mem: 26053
Train Epoch: [4]  [14000/21856]  eta: 0:53:37  lr: 0.000013  loss: 1.0126  time: 0.4091  data: 0.0001  max mem: 26053
Train Epoch: [4]  [14200/21856]  eta: 0:52:15  lr: 0.000013  loss: 0.9137  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [4]  [14400/21856]  eta: 0:50:54  lr: 0.000013  loss: 1.2279  time: 0.4098  data: 0.0001  max mem: 26053
Train Epoch: [4]  [14600/21856]  eta: 0:49:32  lr: 0.000013  loss: 1.1811  time: 0.4115  data: 0.0001  max mem: 26053
Train Epoch: [4]  [14800/21856]  eta: 0:48:10  lr: 0.000013  loss: 0.7574  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [4]  [15000/21856]  eta: 0:46:48  lr: 0.000013  loss: 1.2301  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [4]  [15200/21856]  eta: 0:45:26  lr: 0.000013  loss: 1.1878  time: 0.4135  data: 0.0001  max mem: 26053
Train Epoch: [4]  [15400/21856]  eta: 0:44:04  lr: 0.000013  loss: 1.4800  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [4]  [15600/21856]  eta: 0:42:43  lr: 0.000013  loss: 0.4621  time: 0.4134  data: 0.0001  max mem: 26053
Train Epoch: [4]  [15800/21856]  eta: 0:41:21  lr: 0.000013  loss: 1.7507  time: 0.4117  data: 0.0001  max mem: 26053
Train Epoch: [4]  [16000/21856]  eta: 0:39:59  lr: 0.000013  loss: 0.2935  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [4]  [16200/21856]  eta: 0:38:37  lr: 0.000013  loss: 1.8870  time: 0.4107  data: 0.0001  max mem: 26053
Train Epoch: [4]  [16400/21856]  eta: 0:37:15  lr: 0.000013  loss: 1.5364  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [4]  [16600/21856]  eta: 0:35:53  lr: 0.000013  loss: 0.9038  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [4]  [16800/21856]  eta: 0:34:31  lr: 0.000013  loss: 1.0455  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [4]  [17000/21856]  eta: 0:33:09  lr: 0.000013  loss: 2.1378  time: 0.4106  data: 0.0001  max mem: 26053
Train Epoch: [4]  [17200/21856]  eta: 0:31:47  lr: 0.000013  loss: 0.5302  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [4]  [17400/21856]  eta: 0:30:26  lr: 0.000013  loss: 3.2506  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [4]  [17600/21856]  eta: 0:29:04  lr: 0.000013  loss: 0.4630  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [4]  [17800/21856]  eta: 0:27:42  lr: 0.000013  loss: 1.4532  time: 0.4118  data: 0.0001  max mem: 26053
Train Epoch: [4]  [18000/21856]  eta: 0:26:20  lr: 0.000013  loss: 1.8218  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [4]  [18200/21856]  eta: 0:24:58  lr: 0.000013  loss: 1.1685  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [4]  [18400/21856]  eta: 0:23:36  lr: 0.000013  loss: 0.9896  time: 0.4160  data: 0.0001  max mem: 26053
Train Epoch: [4]  [18600/21856]  eta: 0:22:15  lr: 0.000013  loss: 0.8426  time: 0.4140  data: 0.0001  max mem: 26053
Train Epoch: [4]  [18800/21856]  eta: 0:20:53  lr: 0.000013  loss: 1.2474  time: 0.4143  data: 0.0001  max mem: 26053
Train Epoch: [4]  [19000/21856]  eta: 0:19:31  lr: 0.000013  loss: 0.3590  time: 0.4123  data: 0.0001  max mem: 26053
Train Epoch: [4]  [19200/21856]  eta: 0:18:09  lr: 0.000013  loss: 0.6128  time: 0.4156  data: 0.0001  max mem: 26053
Train Epoch: [4]  [19400/21856]  eta: 0:16:47  lr: 0.000013  loss: 0.8063  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [4]  [19600/21856]  eta: 0:15:25  lr: 0.000013  loss: 0.4584  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [4]  [19800/21856]  eta: 0:14:03  lr: 0.000013  loss: 1.2598  time: 0.4140  data: 0.0001  max mem: 26053
Train Epoch: [4]  [20000/21856]  eta: 0:12:41  lr: 0.000013  loss: 0.8284  time: 0.4137  data: 0.0001  max mem: 26053
Train Epoch: [4]  [20200/21856]  eta: 0:11:19  lr: 0.000013  loss: 0.6542  time: 0.4150  data: 0.0001  max mem: 26053
Train Epoch: [4]  [20400/21856]  eta: 0:09:57  lr: 0.000013  loss: 1.0188  time: 0.4143  data: 0.0001  max mem: 26053
Train Epoch: [4]  [20600/21856]  eta: 0:08:35  lr: 0.000013  loss: 0.7662  time: 0.4147  data: 0.0001  max mem: 26053
Train Epoch: [4]  [20800/21856]  eta: 0:07:13  lr: 0.000013  loss: 1.4202  time: 0.4146  data: 0.0001  max mem: 26053
Train Epoch: [4]  [21000/21856]  eta: 0:05:51  lr: 0.000013  loss: 0.5781  time: 0.4130  data: 0.0001  max mem: 26053
Train Epoch: [4]  [21200/21856]  eta: 0:04:29  lr: 0.000013  loss: 0.8629  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [4]  [21400/21856]  eta: 0:03:07  lr: 0.000013  loss: 0.4120  time: 0.4133  data: 0.0001  max mem: 26053
Train Epoch: [4]  [21600/21856]  eta: 0:01:45  lr: 0.000013  loss: 0.5094  time: 0.4134  data: 0.0001  max mem: 26053
Train Epoch: [4]  [21800/21856]  eta: 0:00:22  lr: 0.000013  loss: 1.6979  time: 0.4131  data: 0.0001  max mem: 26053
Train Epoch: [4]  [21855/21856]  eta: 0:00:00  lr: 0.000013  loss: 0.6049  time: 0.4090  data: 0.0008  max mem: 26053
Train Epoch: [4] Total time: 2:29:34 (0.4106 s / it)
Averaged stats: lr: 0.0000  loss: 1.0401
Train Epoch: [5]  [    0/21856]  eta: 9:11:31  lr: 0.000010  loss: 1.0904  time: 1.5141  data: 0.8858  max mem: 26053
Train Epoch: [5]  [  200/21856]  eta: 2:30:01  lr: 0.000010  loss: 0.9210  time: 0.4096  data: 0.0001  max mem: 26053
Train Epoch: [5]  [  400/21856]  eta: 2:27:37  lr: 0.000010  loss: 0.7933  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [5]  [  600/21856]  eta: 2:25:54  lr: 0.000010  loss: 0.5788  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [5]  [  800/21856]  eta: 2:24:25  lr: 0.000010  loss: 0.4340  time: 0.4088  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 1000/21856]  eta: 2:22:58  lr: 0.000010  loss: 0.8528  time: 0.4136  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 1200/21856]  eta: 2:21:40  lr: 0.000010  loss: 0.5463  time: 0.4107  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 1400/21856]  eta: 2:20:13  lr: 0.000010  loss: 0.6468  time: 0.4090  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 1600/21856]  eta: 2:18:47  lr: 0.000010  loss: 0.4724  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 1800/21856]  eta: 2:17:24  lr: 0.000010  loss: 0.5876  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 2000/21856]  eta: 2:16:00  lr: 0.000010  loss: 0.5498  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 2200/21856]  eta: 2:14:40  lr: 0.000010  loss: 0.9644  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 2400/21856]  eta: 2:13:15  lr: 0.000010  loss: 0.6775  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 2600/21856]  eta: 2:11:51  lr: 0.000010  loss: 1.3623  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 2800/21856]  eta: 2:10:27  lr: 0.000010  loss: 1.0519  time: 0.4094  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 3000/21856]  eta: 2:09:04  lr: 0.000010  loss: 1.7342  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 3200/21856]  eta: 2:07:41  lr: 0.000010  loss: 0.5232  time: 0.4084  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 3400/21856]  eta: 2:06:19  lr: 0.000010  loss: 1.0704  time: 0.4140  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 3600/21856]  eta: 2:04:58  lr: 0.000010  loss: 1.5832  time: 0.4088  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 3800/21856]  eta: 2:03:35  lr: 0.000010  loss: 0.6719  time: 0.4107  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 4000/21856]  eta: 2:02:12  lr: 0.000010  loss: 1.3958  time: 0.4102  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 4200/21856]  eta: 2:00:50  lr: 0.000010  loss: 2.1954  time: 0.4106  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 4400/21856]  eta: 1:59:27  lr: 0.000010  loss: 2.8106  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 4600/21856]  eta: 1:58:04  lr: 0.000010  loss: 1.4078  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 4800/21856]  eta: 1:56:41  lr: 0.000010  loss: 0.6178  time: 0.4095  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 5000/21856]  eta: 1:55:19  lr: 0.000010  loss: 0.5169  time: 0.4098  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 5200/21856]  eta: 1:53:57  lr: 0.000010  loss: 0.8193  time: 0.4110  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 5400/21856]  eta: 1:52:35  lr: 0.000010  loss: 0.8243  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 5600/21856]  eta: 1:51:13  lr: 0.000010  loss: 1.0353  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 5800/21856]  eta: 1:49:51  lr: 0.000010  loss: 0.8613  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 6000/21856]  eta: 1:48:28  lr: 0.000010  loss: 0.8003  time: 0.4101  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 6200/21856]  eta: 1:47:05  lr: 0.000010  loss: 2.4150  time: 0.4086  data: 0.0000  max mem: 26053
Train Epoch: [5]  [ 6400/21856]  eta: 1:45:42  lr: 0.000010  loss: 1.4042  time: 0.4086  data: 0.0000  max mem: 26053
Train Epoch: [5]  [ 6600/21856]  eta: 1:44:19  lr: 0.000010  loss: 0.8097  time: 0.4077  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 6800/21856]  eta: 1:42:56  lr: 0.000010  loss: 1.8113  time: 0.4082  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 7000/21856]  eta: 1:41:34  lr: 0.000010  loss: 1.3447  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 7200/21856]  eta: 1:40:13  lr: 0.000010  loss: 0.6734  time: 0.4118  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 7400/21856]  eta: 1:38:51  lr: 0.000010  loss: 1.5019  time: 0.4108  data: 0.0000  max mem: 26053
Train Epoch: [5]  [ 7600/21856]  eta: 1:37:30  lr: 0.000010  loss: 0.8806  time: 0.4134  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 7800/21856]  eta: 1:36:08  lr: 0.000010  loss: 0.7061  time: 0.4129  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 8000/21856]  eta: 1:34:47  lr: 0.000010  loss: 0.9252  time: 0.4132  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 8200/21856]  eta: 1:33:25  lr: 0.000010  loss: 0.6448  time: 0.4100  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 8400/21856]  eta: 1:32:04  lr: 0.000010  loss: 0.8087  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 8600/21856]  eta: 1:30:42  lr: 0.000010  loss: 1.4365  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 8800/21856]  eta: 1:29:20  lr: 0.000010  loss: 0.9260  time: 0.4109  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 9000/21856]  eta: 1:27:58  lr: 0.000010  loss: 1.0280  time: 0.4116  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 9200/21856]  eta: 1:26:36  lr: 0.000010  loss: 1.0642  time: 0.4094  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 9400/21856]  eta: 1:25:14  lr: 0.000010  loss: 0.7553  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 9600/21856]  eta: 1:23:52  lr: 0.000010  loss: 2.4008  time: 0.4103  data: 0.0001  max mem: 26053
Train Epoch: [5]  [ 9800/21856]  eta: 1:22:29  lr: 0.000010  loss: 0.3533  time: 0.4085  data: 0.0001  max mem: 26053
Train Epoch: [5]  [10000/21856]  eta: 1:21:07  lr: 0.000010  loss: 1.2860  time: 0.4088  data: 0.0001  max mem: 26053
Train Epoch: [5]  [10200/21856]  eta: 1:19:44  lr: 0.000010  loss: 0.4755  time: 0.4097  data: 0.0001  max mem: 26053
Train Epoch: [5]  [10400/21856]  eta: 1:18:22  lr: 0.000010  loss: 1.9155  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [5]  [10600/21856]  eta: 1:17:01  lr: 0.000010  loss: 1.0753  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [5]  [10800/21856]  eta: 1:15:39  lr: 0.000010  loss: 1.0578  time: 0.4147  data: 0.0001  max mem: 26053
Train Epoch: [5]  [11000/21856]  eta: 1:14:17  lr: 0.000010  loss: 0.6592  time: 0.4149  data: 0.0001  max mem: 26053
Train Epoch: [5]  [11200/21856]  eta: 1:12:55  lr: 0.000010  loss: 0.3711  time: 0.4118  data: 0.0001  max mem: 26053
Train Epoch: [5]  [11400/21856]  eta: 1:11:33  lr: 0.000010  loss: 0.4743  time: 0.4098  data: 0.0000  max mem: 26053
Train Epoch: [5]  [11600/21856]  eta: 1:10:11  lr: 0.000010  loss: 0.9404  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [5]  [11800/21856]  eta: 1:08:49  lr: 0.000010  loss: 1.0893  time: 0.4110  data: 0.0001  max mem: 26053
Train Epoch: [5]  [12000/21856]  eta: 1:07:27  lr: 0.000010  loss: 0.7190  time: 0.4085  data: 0.0000  max mem: 26053
Train Epoch: [5]  [12200/21856]  eta: 1:06:04  lr: 0.000010  loss: 0.9032  time: 0.4096  data: 0.0000  max mem: 26053
Train Epoch: [5]  [12400/21856]  eta: 1:04:42  lr: 0.000010  loss: 1.0399  time: 0.4108  data: 0.0001  max mem: 26053
Train Epoch: [5]  [12600/21856]  eta: 1:03:20  lr: 0.000010  loss: 1.9946  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [5]  [12800/21856]  eta: 1:01:58  lr: 0.000010  loss: 2.1491  time: 0.4139  data: 0.0001  max mem: 26053
Train Epoch: [5]  [13000/21856]  eta: 1:00:37  lr: 0.000010  loss: 1.3777  time: 0.4118  data: 0.0001  max mem: 26053
Train Epoch: [5]  [13200/21856]  eta: 0:59:15  lr: 0.000010  loss: 1.9171  time: 0.4138  data: 0.0001  max mem: 26053
Train Epoch: [5]  [13400/21856]  eta: 0:57:53  lr: 0.000010  loss: 0.4432  time: 0.4136  data: 0.0001  max mem: 26053
Train Epoch: [5]  [13600/21856]  eta: 0:56:31  lr: 0.000010  loss: 0.6585  time: 0.4142  data: 0.0001  max mem: 26053
Train Epoch: [5]  [13800/21856]  eta: 0:55:10  lr: 0.000010  loss: 0.5432  time: 0.4149  data: 0.0001  max mem: 26053
Train Epoch: [5]  [14000/21856]  eta: 0:53:48  lr: 0.000010  loss: 1.2710  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [5]  [14200/21856]  eta: 0:52:26  lr: 0.000010  loss: 0.7036  time: 0.4158  data: 0.0001  max mem: 26053
Train Epoch: [5]  [14400/21856]  eta: 0:51:04  lr: 0.000010  loss: 1.4964  time: 0.4149  data: 0.0001  max mem: 26053
Train Epoch: [5]  [14600/21856]  eta: 0:49:42  lr: 0.000010  loss: 0.8384  time: 0.4179  data: 0.0001  max mem: 26053
Train Epoch: [5]  [14800/21856]  eta: 0:48:20  lr: 0.000010  loss: 1.4024  time: 0.4123  data: 0.0001  max mem: 26053
Train Epoch: [5]  [15000/21856]  eta: 0:46:58  lr: 0.000010  loss: 1.1420  time: 0.4120  data: 0.0001  max mem: 26053
Train Epoch: [5]  [15200/21856]  eta: 0:45:36  lr: 0.000010  loss: 0.7574  time: 0.4160  data: 0.0001  max mem: 26053
Train Epoch: [5]  [15400/21856]  eta: 0:44:14  lr: 0.000010  loss: 1.3409  time: 0.4141  data: 0.0001  max mem: 26053
Train Epoch: [5]  [15600/21856]  eta: 0:42:52  lr: 0.000010  loss: 0.6747  time: 0.4142  data: 0.0001  max mem: 26053
Train Epoch: [5]  [15800/21856]  eta: 0:41:30  lr: 0.000010  loss: 0.9531  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [5]  [16000/21856]  eta: 0:40:08  lr: 0.000010  loss: 1.2383  time: 0.4137  data: 0.0001  max mem: 26053
Train Epoch: [5]  [16200/21856]  eta: 0:38:46  lr: 0.000010  loss: 1.5188  time: 0.4118  data: 0.0001  max mem: 26053
Train Epoch: [5]  [16400/21856]  eta: 0:37:24  lr: 0.000010  loss: 1.9445  time: 0.4138  data: 0.0001  max mem: 26053
Train Epoch: [5]  [16600/21856]  eta: 0:36:02  lr: 0.000010  loss: 0.8484  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [5]  [16800/21856]  eta: 0:34:39  lr: 0.000010  loss: 0.6767  time: 0.4118  data: 0.0001  max mem: 26053
Train Epoch: [5]  [17000/21856]  eta: 0:33:17  lr: 0.000010  loss: 0.7807  time: 0.4112  data: 0.0001  max mem: 26053
Train Epoch: [5]  [17200/21856]  eta: 0:31:55  lr: 0.000010  loss: 0.9359  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [5]  [17400/21856]  eta: 0:30:33  lr: 0.000010  loss: 0.7364  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [5]  [17600/21856]  eta: 0:29:11  lr: 0.000010  loss: 0.9700  time: 0.4152  data: 0.0001  max mem: 26053
Train Epoch: [5]  [17800/21856]  eta: 0:27:49  lr: 0.000010  loss: 0.8449  time: 0.4139  data: 0.0001  max mem: 26053
Train Epoch: [5]  [18000/21856]  eta: 0:26:26  lr: 0.000010  loss: 0.8983  time: 0.4115  data: 0.0001  max mem: 26053
Train Epoch: [5]  [18200/21856]  eta: 0:25:04  lr: 0.000010  loss: 0.7666  time: 0.4136  data: 0.0001  max mem: 26053
Train Epoch: [5]  [18400/21856]  eta: 0:23:42  lr: 0.000010  loss: 0.9189  time: 0.4144  data: 0.0001  max mem: 26053
Train Epoch: [5]  [18600/21856]  eta: 0:22:20  lr: 0.000010  loss: 2.4753  time: 0.4189  data: 0.0001  max mem: 26053
Train Epoch: [5]  [18800/21856]  eta: 0:20:58  lr: 0.000010  loss: 1.0429  time: 0.4156  data: 0.0001  max mem: 26053
Train Epoch: [5]  [19000/21856]  eta: 0:19:35  lr: 0.000010  loss: 1.0430  time: 0.4178  data: 0.0001  max mem: 26053
Train Epoch: [5]  [19200/21856]  eta: 0:18:13  lr: 0.000010  loss: 1.2782  time: 0.4123  data: 0.0001  max mem: 26053
Train Epoch: [5]  [19400/21856]  eta: 0:16:51  lr: 0.000010  loss: 1.5923  time: 0.4148  data: 0.0001  max mem: 26053
Train Epoch: [5]  [19600/21856]  eta: 0:15:29  lr: 0.000010  loss: 2.0856  time: 0.4158  data: 0.0001  max mem: 26053
Train Epoch: [5]  [19800/21856]  eta: 0:14:06  lr: 0.000010  loss: 1.4929  time: 0.4148  data: 0.0001  max mem: 26053
Train Epoch: [5]  [20000/21856]  eta: 0:12:44  lr: 0.000010  loss: 1.9911  time: 0.4138  data: 0.0001  max mem: 26053
Train Epoch: [5]  [20200/21856]  eta: 0:11:22  lr: 0.000010  loss: 1.4887  time: 0.4137  data: 0.0001  max mem: 26053
Train Epoch: [5]  [20400/21856]  eta: 0:09:59  lr: 0.000010  loss: 0.9108  time: 0.4142  data: 0.0001  max mem: 26053
Train Epoch: [5]  [20600/21856]  eta: 0:08:37  lr: 0.000010  loss: 1.1508  time: 0.4143  data: 0.0001  max mem: 26053
Train Epoch: [5]  [20800/21856]  eta: 0:07:15  lr: 0.000010  loss: 1.0042  time: 0.4147  data: 0.0001  max mem: 26053
Train Epoch: [5]  [21000/21856]  eta: 0:05:52  lr: 0.000010  loss: 0.6407  time: 0.4144  data: 0.0001  max mem: 26053
Train Epoch: [5]  [21200/21856]  eta: 0:04:30  lr: 0.000010  loss: 0.8225  time: 0.4147  data: 0.0001  max mem: 26053
Train Epoch: [5]  [21400/21856]  eta: 0:03:07  lr: 0.000010  loss: 0.4808  time: 0.4131  data: 0.0001  max mem: 26053
Train Epoch: [5]  [21600/21856]  eta: 0:01:45  lr: 0.000010  loss: 1.0870  time: 0.4173  data: 0.0001  max mem: 26053
Train Epoch: [5]  [21800/21856]  eta: 0:00:23  lr: 0.000010  loss: 0.3465  time: 0.4145  data: 0.0001  max mem: 26053
Train Epoch: [5]  [21855/21856]  eta: 0:00:00  lr: 0.000010  loss: 1.0987  time: 0.4098  data: 0.0009  max mem: 26053
Train Epoch: [5] Total time: 2:30:08 (0.4122 s / it)
Averaged stats: lr: 0.0000  loss: 0.9919
Train Epoch: [6]  [    0/21856]  eta: 9:20:14  lr: 0.000007  loss: 1.1432  time: 1.5380  data: 0.8513  max mem: 26053
Train Epoch: [6]  [  200/21856]  eta: 2:29:43  lr: 0.000007  loss: 0.9999  time: 0.4137  data: 0.0001  max mem: 26053
Train Epoch: [6]  [  400/21856]  eta: 2:27:08  lr: 0.000007  loss: 0.9000  time: 0.4056  data: 0.0001  max mem: 26053
Train Epoch: [6]  [  600/21856]  eta: 2:25:16  lr: 0.000007  loss: 0.4755  time: 0.4057  data: 0.0001  max mem: 26053
Train Epoch: [6]  [  800/21856]  eta: 2:23:43  lr: 0.000007  loss: 2.0039  time: 0.4073  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 1000/21856]  eta: 2:22:16  lr: 0.000007  loss: 1.5268  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 1200/21856]  eta: 2:20:47  lr: 0.000007  loss: 2.6001  time: 0.4069  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 1400/21856]  eta: 2:19:22  lr: 0.000007  loss: 0.3553  time: 0.4087  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 1600/21856]  eta: 2:17:59  lr: 0.000007  loss: 1.0439  time: 0.4092  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 1800/21856]  eta: 2:16:41  lr: 0.000007  loss: 0.8325  time: 0.4099  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 2000/21856]  eta: 2:15:24  lr: 0.000007  loss: 1.3162  time: 0.4137  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 2200/21856]  eta: 2:14:07  lr: 0.000007  loss: 0.5717  time: 0.4113  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 2400/21856]  eta: 2:12:54  lr: 0.000007  loss: 1.1822  time: 0.4169  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 2600/21856]  eta: 2:11:36  lr: 0.000007  loss: 1.1064  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 2800/21856]  eta: 2:10:18  lr: 0.000007  loss: 1.3668  time: 0.4144  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 3000/21856]  eta: 2:08:59  lr: 0.000007  loss: 0.6287  time: 0.4120  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 3200/21856]  eta: 2:07:40  lr: 0.000007  loss: 1.2773  time: 0.4133  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 3400/21856]  eta: 2:06:19  lr: 0.000007  loss: 0.6549  time: 0.4127  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 3600/21856]  eta: 2:05:00  lr: 0.000007  loss: 0.4368  time: 0.4127  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 3800/21856]  eta: 2:03:39  lr: 0.000007  loss: 0.5746  time: 0.4123  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 4000/21856]  eta: 2:02:19  lr: 0.000007  loss: 1.5669  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 4200/21856]  eta: 2:00:58  lr: 0.000007  loss: 0.3042  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 4400/21856]  eta: 1:59:37  lr: 0.000007  loss: 0.6359  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 4600/21856]  eta: 1:58:15  lr: 0.000007  loss: 0.4410  time: 0.4115  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 4800/21856]  eta: 1:56:54  lr: 0.000007  loss: 0.7021  time: 0.4121  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 5000/21856]  eta: 1:55:33  lr: 0.000007  loss: 1.0520  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 5200/21856]  eta: 1:54:12  lr: 0.000007  loss: 1.0851  time: 0.4136  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 5400/21856]  eta: 1:52:50  lr: 0.000007  loss: 1.0729  time: 0.4133  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 5600/21856]  eta: 1:51:28  lr: 0.000007  loss: 0.7700  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 5800/21856]  eta: 1:50:07  lr: 0.000007  loss: 0.9365  time: 0.4118  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 6000/21856]  eta: 1:48:45  lr: 0.000007  loss: 0.3616  time: 0.4116  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 6200/21856]  eta: 1:47:23  lr: 0.000007  loss: 0.8339  time: 0.4117  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 6400/21856]  eta: 1:46:01  lr: 0.000007  loss: 1.2644  time: 0.4127  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 6600/21856]  eta: 1:44:39  lr: 0.000007  loss: 1.4250  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 6800/21856]  eta: 1:43:17  lr: 0.000007  loss: 0.4532  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 7000/21856]  eta: 1:41:55  lr: 0.000007  loss: 0.7548  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 7200/21856]  eta: 1:40:33  lr: 0.000007  loss: 1.1556  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 7400/21856]  eta: 1:39:11  lr: 0.000007  loss: 1.0007  time: 0.4116  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 7600/21856]  eta: 1:37:48  lr: 0.000007  loss: 0.8012  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 7800/21856]  eta: 1:36:26  lr: 0.000007  loss: 0.6479  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 8000/21856]  eta: 1:35:04  lr: 0.000007  loss: 0.5648  time: 0.4104  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 8200/21856]  eta: 1:33:42  lr: 0.000007  loss: 1.2084  time: 0.4126  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 8400/21856]  eta: 1:32:20  lr: 0.000007  loss: 0.4817  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 8600/21856]  eta: 1:30:58  lr: 0.000007  loss: 1.6671  time: 0.4133  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 8800/21856]  eta: 1:29:36  lr: 0.000007  loss: 1.6401  time: 0.4125  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 9000/21856]  eta: 1:28:14  lr: 0.000007  loss: 0.9894  time: 0.4137  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 9200/21856]  eta: 1:26:52  lr: 0.000007  loss: 1.1574  time: 0.4142  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 9400/21856]  eta: 1:25:30  lr: 0.000007  loss: 1.1386  time: 0.4142  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 9600/21856]  eta: 1:24:08  lr: 0.000007  loss: 0.9431  time: 0.4141  data: 0.0001  max mem: 26053
Train Epoch: [6]  [ 9800/21856]  eta: 1:22:46  lr: 0.000007  loss: 1.0429  time: 0.4141  data: 0.0001  max mem: 26053
Train Epoch: [6]  [10000/21856]  eta: 1:21:25  lr: 0.000007  loss: 1.4107  time: 0.4145  data: 0.0001  max mem: 26053
Train Epoch: [6]  [10200/21856]  eta: 1:20:03  lr: 0.000007  loss: 1.0658  time: 0.4148  data: 0.0001  max mem: 26053
Train Epoch: [6]  [10400/21856]  eta: 1:18:41  lr: 0.000007  loss: 0.7008  time: 0.4145  data: 0.0001  max mem: 26053
Train Epoch: [6]  [10600/21856]  eta: 1:17:19  lr: 0.000007  loss: 0.9790  time: 0.4147  data: 0.0001  max mem: 26053
Train Epoch: [6]  [10800/21856]  eta: 1:15:57  lr: 0.000007  loss: 0.5209  time: 0.4148  data: 0.0001  max mem: 26053
Train Epoch: [6]  [11000/21856]  eta: 1:14:35  lr: 0.000007  loss: 0.9707  time: 0.4178  data: 0.0001  max mem: 26053
Train Epoch: [6]  [11200/21856]  eta: 1:13:13  lr: 0.000007  loss: 1.5879  time: 0.4145  data: 0.0001  max mem: 26053
Train Epoch: [6]  [11400/21856]  eta: 1:11:51  lr: 0.000007  loss: 1.1330  time: 0.4140  data: 0.0001  max mem: 26053
Train Epoch: [6]  [11600/21856]  eta: 1:10:29  lr: 0.000007  loss: 0.5485  time: 0.4149  data: 0.0001  max mem: 26053
Train Epoch: [6]  [11800/21856]  eta: 1:09:07  lr: 0.000007  loss: 1.1371  time: 0.4123  data: 0.0001  max mem: 26053
Train Epoch: [6]  [12000/21856]  eta: 1:07:45  lr: 0.000007  loss: 0.8259  time: 0.4147  data: 0.0001  max mem: 26053
Train Epoch: [6]  [12200/21856]  eta: 1:06:22  lr: 0.000007  loss: 1.3385  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [6]  [12400/21856]  eta: 1:05:00  lr: 0.000007  loss: 0.8741  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [6]  [12600/21856]  eta: 1:03:37  lr: 0.000007  loss: 0.6707  time: 0.4128  data: 0.0001  max mem: 26053
Train Epoch: [6]  [12800/21856]  eta: 1:02:15  lr: 0.000007  loss: 1.3638  time: 0.4131  data: 0.0001  max mem: 26053
Train Epoch: [6]  [13000/21856]  eta: 1:00:52  lr: 0.000007  loss: 1.5975  time: 0.4146  data: 0.0001  max mem: 26053
Train Epoch: [6]  [13200/21856]  eta: 0:59:30  lr: 0.000007  loss: 0.4794  time: 0.4123  data: 0.0001  max mem: 26053
Train Epoch: [6]  [13400/21856]  eta: 0:58:07  lr: 0.000007  loss: 0.4534  time: 0.4132  data: 0.0001  max mem: 26053
Train Epoch: [6]  [13600/21856]  eta: 0:56:45  lr: 0.000007  loss: 2.2010  time: 0.4105  data: 0.0001  max mem: 26053
Train Epoch: [6]  [13800/21856]  eta: 0:55:22  lr: 0.000007  loss: 0.9675  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [6]  [14000/21856]  eta: 0:54:00  lr: 0.000007  loss: 0.7565  time: 0.4124  data: 0.0001  max mem: 26053
Train Epoch: [6]  [14200/21856]  eta: 0:52:37  lr: 0.000007  loss: 0.5943  time: 0.4139  data: 0.0001  max mem: 26053
Train Epoch: [6]  [14400/21856]  eta: 0:51:15  lr: 0.000007  loss: 0.9957  time: 0.4140  data: 0.0001  max mem: 26053
Train Epoch: [6]  [14600/21856]  eta: 0:49:52  lr: 0.000007  loss: 0.3295  time: 0.4119  data: 0.0001  max mem: 26053
Train Epoch: [6]  [14800/21856]  eta: 0:48:30  lr: 0.000007  loss: 0.6879  time: 0.4122  data: 0.0001  max mem: 26053
Train Epoch: [6]  [15000/21856]  eta: 0:47:07  lr: 0.000007  loss: 2.0905  time: 0.4135  data: 0.0001  max mem: 26053
Train Epoch: [6]  [15200/21856]  eta: 0:45:45  lr: 0.000007  loss: 0.3225  time: 0.4125  data: 0.0001  max mem: 26202
Train Epoch: [6]  [15400/21856]  eta: 0:44:22  lr: 0.000007  loss: 0.5510  time: 0.4151  data: 0.0001  max mem: 26202
Train Epoch: [6]  [15600/21856]  eta: 0:43:00  lr: 0.000007  loss: 0.7060  time: 0.4128  data: 0.0001  max mem: 26202
Train Epoch: [6]  [15800/21856]  eta: 0:41:38  lr: 0.000007  loss: 1.6087  time: 0.4211  data: 0.0001  max mem: 26202
Train Epoch: [6]  [16000/21856]  eta: 0:40:16  lr: 0.000007  loss: 1.2192  time: 0.4129  data: 0.0001  max mem: 26202
Train Epoch: [6]  [16200/21856]  eta: 0:38:54  lr: 0.000007  loss: 0.4172  time: 0.4209  data: 0.0001  max mem: 26202
Train Epoch: [6]  [16400/21856]  eta: 0:37:31  lr: 0.000007  loss: 1.0492  time: 0.4130  data: 0.0001  max mem: 26202
Train Epoch: [6]  [16600/21856]  eta: 0:36:09  lr: 0.000007  loss: 0.3485  time: 0.4228  data: 0.0001  max mem: 26202
Train Epoch: [6]  [16800/21856]  eta: 0:34:47  lr: 0.000007  loss: 1.9286  time: 0.4133  data: 0.0001  max mem: 26202
Train Epoch: [6]  [17000/21856]  eta: 0:33:25  lr: 0.000007  loss: 0.4143  time: 0.4147  data: 0.0001  max mem: 26202
Train Epoch: [6]  [17200/21856]  eta: 0:32:02  lr: 0.000007  loss: 0.5339  time: 0.4147  data: 0.0001  max mem: 26202
Train Epoch: [6]  [17400/21856]  eta: 0:30:40  lr: 0.000007  loss: 1.3610  time: 0.4264  data: 0.0001  max mem: 26202
Train Epoch: [6]  [17600/21856]  eta: 0:29:17  lr: 0.000007  loss: 1.0489  time: 0.4137  data: 0.0001  max mem: 26202
Train Epoch: [6]  [17800/21856]  eta: 0:27:55  lr: 0.000007  loss: 0.6269  time: 0.4136  data: 0.0001  max mem: 26202
Train Epoch: [6]  [18000/21856]  eta: 0:26:32  lr: 0.000007  loss: 1.2881  time: 0.4119  data: 0.0001  max mem: 26202
Train Epoch: [6]  [18200/21856]  eta: 0:25:09  lr: 0.000007  loss: 0.9143  time: 0.4139  data: 0.0001  max mem: 26202
Train Epoch: [6]  [18400/21856]  eta: 0:23:47  lr: 0.000007  loss: 0.9613  time: 0.4129  data: 0.0001  max mem: 26202
Train Epoch: [6]  [18600/21856]  eta: 0:22:24  lr: 0.000007  loss: 0.4596  time: 0.4120  data: 0.0001  max mem: 26202
Train Epoch: [6]  [18800/21856]  eta: 0:21:02  lr: 0.000007  loss: 0.9696  time: 0.4117  data: 0.0001  max mem: 26202
Train Epoch: [6]  [19000/21856]  eta: 0:19:39  lr: 0.000007  loss: 0.5891  time: 0.4129  data: 0.0001  max mem: 26202
Train Epoch: [6]  [19200/21856]  eta: 0:18:16  lr: 0.000007  loss: 0.7565  time: 0.4138  data: 0.0001  max mem: 26202
Train Epoch: [6]  [19400/21856]  eta: 0:16:54  lr: 0.000007  loss: 0.4730  time: 0.4129  data: 0.0001  max mem: 26202
Train Epoch: [6]  [19600/21856]  eta: 0:15:31  lr: 0.000007  loss: 0.7616  time: 0.4130  data: 0.0001  max mem: 26202
Train Epoch: [6]  [19800/21856]  eta: 0:14:09  lr: 0.000007  loss: 0.6272  time: 0.4116  data: 0.0001  max mem: 26202
Train Epoch: [6]  [20000/21856]  eta: 0:12:46  lr: 0.000007  loss: 0.4409  time: 0.4122  data: 0.0001  max mem: 26202
Train Epoch: [6]  [20200/21856]  eta: 0:11:23  lr: 0.000007  loss: 0.9458  time: 0.4138  data: 0.0001  max mem: 26202
Train Epoch: [6]  [20400/21856]  eta: 0:10:01  lr: 0.000007  loss: 1.0511  time: 0.4137  data: 0.0001  max mem: 26202
Train Epoch: [6]  [20600/21856]  eta: 0:08:38  lr: 0.000007  loss: 1.3855  time: 0.4138  data: 0.0001  max mem: 26202
Train Epoch: [6]  [20800/21856]  eta: 0:07:16  lr: 0.000007  loss: 1.0546  time: 0.4132  data: 0.0001  max mem: 26202
Train Epoch: [6]  [21000/21856]  eta: 0:05:53  lr: 0.000007  loss: 0.5998  time: 0.4120  data: 0.0001  max mem: 26202
Train Epoch: [6]  [21200/21856]  eta: 0:04:30  lr: 0.000007  loss: 0.5393  time: 0.4122  data: 0.0001  max mem: 26202
Train Epoch: [6]  [21400/21856]  eta: 0:03:08  lr: 0.000007  loss: 0.8407  time: 0.4115  data: 0.0001  max mem: 26202
Train Epoch: [6]  [21600/21856]  eta: 0:01:45  lr: 0.000007  loss: 1.3413  time: 0.4116  data: 0.0001  max mem: 26202
Train Epoch: [6]  [21800/21856]  eta: 0:00:23  lr: 0.000007  loss: 0.5796  time: 0.4138  data: 0.0001  max mem: 26202
Train Epoch: [6]  [21855/21856]  eta: 0:00:00  lr: 0.000007  loss: 1.2655  time: 0.4075  data: 0.0008  max mem: 26202
Train Epoch: [6] Total time: 2:30:27 (0.4130 s / it)
Averaged stats: lr: 0.0000  loss: 0.9496
Train Epoch: [7]  [    0/21856]  eta: 9:06:47  lr: 0.000004  loss: 0.5665  time: 1.5011  data: 0.8682  max mem: 26202
Train Epoch: [7]  [  200/21856]  eta: 2:29:45  lr: 0.000004  loss: 1.3756  time: 0.4091  data: 0.0001  max mem: 26202
Train Epoch: [7]  [  400/21856]  eta: 2:27:15  lr: 0.000004  loss: 0.7750  time: 0.4084  data: 0.0001  max mem: 26202
Train Epoch: [7]  [  600/21856]  eta: 2:25:27  lr: 0.000004  loss: 2.0832  time: 0.4092  data: 0.0001  max mem: 26202
Train Epoch: [7]  [  800/21856]  eta: 2:23:56  lr: 0.000004  loss: 0.7902  time: 0.4094  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 1000/21856]  eta: 2:22:28  lr: 0.000004  loss: 0.4762  time: 0.4082  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 1200/21856]  eta: 2:21:02  lr: 0.000004  loss: 1.2551  time: 0.4082  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 1400/21856]  eta: 2:19:39  lr: 0.000004  loss: 0.9877  time: 0.4087  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 1600/21856]  eta: 2:18:14  lr: 0.000004  loss: 1.8746  time: 0.4083  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 1800/21856]  eta: 2:16:50  lr: 0.000004  loss: 0.5153  time: 0.4089  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 2000/21856]  eta: 2:15:26  lr: 0.000004  loss: 2.2388  time: 0.4082  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 2200/21856]  eta: 2:14:03  lr: 0.000004  loss: 0.4596  time: 0.4089  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 2400/21856]  eta: 2:12:40  lr: 0.000004  loss: 1.0249  time: 0.4079  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 2600/21856]  eta: 2:11:23  lr: 0.000004  loss: 1.3022  time: 0.4082  data: 0.0000  max mem: 26202
Train Epoch: [7]  [ 2800/21856]  eta: 2:10:03  lr: 0.000004  loss: 0.2878  time: 0.4119  data: 0.0000  max mem: 26202
Train Epoch: [7]  [ 3000/21856]  eta: 2:08:43  lr: 0.000004  loss: 1.0250  time: 0.4080  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 3200/21856]  eta: 2:07:21  lr: 0.000004  loss: 0.5205  time: 0.4091  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 3400/21856]  eta: 2:06:00  lr: 0.000004  loss: 0.9603  time: 0.4098  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 3600/21856]  eta: 2:04:38  lr: 0.000004  loss: 0.9587  time: 0.4098  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 3800/21856]  eta: 2:03:16  lr: 0.000004  loss: 0.4125  time: 0.4099  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 4000/21856]  eta: 2:01:53  lr: 0.000004  loss: 1.0226  time: 0.4099  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 4200/21856]  eta: 2:00:32  lr: 0.000004  loss: 0.9374  time: 0.4082  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 4400/21856]  eta: 1:59:11  lr: 0.000004  loss: 0.8737  time: 0.4086  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 4600/21856]  eta: 1:57:48  lr: 0.000004  loss: 1.5349  time: 0.4089  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 4800/21856]  eta: 1:56:26  lr: 0.000004  loss: 0.6039  time: 0.4093  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 5000/21856]  eta: 1:55:05  lr: 0.000004  loss: 0.6749  time: 0.4102  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 5200/21856]  eta: 1:53:43  lr: 0.000004  loss: 1.6230  time: 0.4116  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 5400/21856]  eta: 1:52:22  lr: 0.000004  loss: 0.4864  time: 0.4104  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 5600/21856]  eta: 1:51:00  lr: 0.000004  loss: 0.6668  time: 0.4101  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 5800/21856]  eta: 1:49:38  lr: 0.000004  loss: 0.4055  time: 0.4088  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 6000/21856]  eta: 1:48:15  lr: 0.000004  loss: 1.4463  time: 0.4086  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 6200/21856]  eta: 1:46:53  lr: 0.000004  loss: 0.5429  time: 0.4091  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 6400/21856]  eta: 1:45:31  lr: 0.000004  loss: 1.2171  time: 0.4128  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 6600/21856]  eta: 1:44:10  lr: 0.000004  loss: 0.9611  time: 0.4102  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 6800/21856]  eta: 1:42:48  lr: 0.000004  loss: 0.8542  time: 0.4091  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 7000/21856]  eta: 1:41:26  lr: 0.000004  loss: 0.9431  time: 0.4086  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 7200/21856]  eta: 1:40:03  lr: 0.000004  loss: 1.1367  time: 0.4091  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 7400/21856]  eta: 1:38:41  lr: 0.000004  loss: 0.2325  time: 0.4075  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 7600/21856]  eta: 1:37:18  lr: 0.000004  loss: 1.2599  time: 0.4079  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 7800/21856]  eta: 1:35:56  lr: 0.000004  loss: 1.4738  time: 0.4112  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 8000/21856]  eta: 1:34:34  lr: 0.000004  loss: 0.8426  time: 0.4080  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 8200/21856]  eta: 1:33:12  lr: 0.000004  loss: 0.9803  time: 0.4080  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 8400/21856]  eta: 1:31:50  lr: 0.000004  loss: 1.5586  time: 0.4079  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 8600/21856]  eta: 1:30:27  lr: 0.000004  loss: 1.6789  time: 0.4091  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 8800/21856]  eta: 1:29:05  lr: 0.000004  loss: 1.2376  time: 0.4085  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 9000/21856]  eta: 1:27:43  lr: 0.000004  loss: 0.8327  time: 0.4082  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 9200/21856]  eta: 1:26:21  lr: 0.000004  loss: 0.5266  time: 0.4080  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 9400/21856]  eta: 1:24:59  lr: 0.000004  loss: 0.9223  time: 0.4095  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 9600/21856]  eta: 1:23:37  lr: 0.000004  loss: 1.9887  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [7]  [ 9800/21856]  eta: 1:22:15  lr: 0.000004  loss: 0.7914  time: 0.4111  data: 0.0001  max mem: 26202
Train Epoch: [7]  [10000/21856]  eta: 1:20:54  lr: 0.000004  loss: 1.1018  time: 0.4081  data: 0.0001  max mem: 26202
Train Epoch: [7]  [10200/21856]  eta: 1:19:32  lr: 0.000004  loss: 1.1105  time: 0.4082  data: 0.0001  max mem: 26202
Train Epoch: [7]  [10400/21856]  eta: 1:18:10  lr: 0.000004  loss: 1.8215  time: 0.4075  data: 0.0001  max mem: 26202
Train Epoch: [7]  [10600/21856]  eta: 1:16:48  lr: 0.000004  loss: 0.2076  time: 0.4097  data: 0.0001  max mem: 26202
Train Epoch: [7]  [10800/21856]  eta: 1:15:26  lr: 0.000004  loss: 1.4958  time: 0.4074  data: 0.0001  max mem: 26202
Train Epoch: [7]  [11000/21856]  eta: 1:14:04  lr: 0.000004  loss: 1.0295  time: 0.4072  data: 0.0001  max mem: 26202
Train Epoch: [7]  [11200/21856]  eta: 1:12:41  lr: 0.000004  loss: 0.7901  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [7]  [11400/21856]  eta: 1:11:20  lr: 0.000004  loss: 0.9185  time: 0.4086  data: 0.0001  max mem: 26202
Train Epoch: [7]  [11600/21856]  eta: 1:09:58  lr: 0.000004  loss: 0.7146  time: 0.4083  data: 0.0001  max mem: 26202
Train Epoch: [7]  [11800/21856]  eta: 1:08:36  lr: 0.000004  loss: 0.6136  time: 0.4093  data: 0.0001  max mem: 26202
Train Epoch: [7]  [12000/21856]  eta: 1:07:14  lr: 0.000004  loss: 0.7233  time: 0.4085  data: 0.0001  max mem: 26202
Train Epoch: [7]  [12200/21856]  eta: 1:05:52  lr: 0.000004  loss: 0.9861  time: 0.4098  data: 0.0001  max mem: 26202
Train Epoch: [7]  [12400/21856]  eta: 1:04:30  lr: 0.000004  loss: 1.2098  time: 0.4094  data: 0.0001  max mem: 26202
Train Epoch: [7]  [12600/21856]  eta: 1:03:08  lr: 0.000004  loss: 0.5479  time: 0.4083  data: 0.0001  max mem: 26202
Train Epoch: [7]  [12800/21856]  eta: 1:01:46  lr: 0.000004  loss: 0.6881  time: 0.4089  data: 0.0001  max mem: 26202
Train Epoch: [7]  [13000/21856]  eta: 1:00:24  lr: 0.000004  loss: 1.1444  time: 0.4102  data: 0.0001  max mem: 26202
Train Epoch: [7]  [13200/21856]  eta: 0:59:02  lr: 0.000004  loss: 1.5080  time: 0.4143  data: 0.0001  max mem: 26202
Train Epoch: [7]  [13400/21856]  eta: 0:57:40  lr: 0.000004  loss: 0.5441  time: 0.4114  data: 0.0001  max mem: 26202
Train Epoch: [7]  [13600/21856]  eta: 0:56:19  lr: 0.000004  loss: 1.1401  time: 0.4093  data: 0.0001  max mem: 26202
Train Epoch: [7]  [13800/21856]  eta: 0:54:57  lr: 0.000004  loss: 0.9289  time: 0.4099  data: 0.0001  max mem: 26202
Train Epoch: [7]  [14000/21856]  eta: 0:53:35  lr: 0.000004  loss: 0.4508  time: 0.4105  data: 0.0001  max mem: 26202
Train Epoch: [7]  [14200/21856]  eta: 0:52:13  lr: 0.000004  loss: 0.2768  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [7]  [14400/21856]  eta: 0:50:51  lr: 0.000004  loss: 0.3760  time: 0.4092  data: 0.0001  max mem: 26202
Train Epoch: [7]  [14600/21856]  eta: 0:49:29  lr: 0.000004  loss: 0.6778  time: 0.4099  data: 0.0001  max mem: 26202
Train Epoch: [7]  [14800/21856]  eta: 0:48:08  lr: 0.000004  loss: 0.4524  time: 0.4105  data: 0.0001  max mem: 26202
Train Epoch: [7]  [15000/21856]  eta: 0:46:46  lr: 0.000004  loss: 0.6910  time: 0.4111  data: 0.0001  max mem: 26202
Train Epoch: [7]  [15200/21856]  eta: 0:45:24  lr: 0.000004  loss: 1.0607  time: 0.4092  data: 0.0001  max mem: 26202
Train Epoch: [7]  [15400/21856]  eta: 0:44:02  lr: 0.000004  loss: 1.1024  time: 0.4094  data: 0.0001  max mem: 26202
Train Epoch: [7]  [15600/21856]  eta: 0:42:40  lr: 0.000004  loss: 0.5940  time: 0.4121  data: 0.0001  max mem: 26202
Train Epoch: [7]  [15800/21856]  eta: 0:41:19  lr: 0.000004  loss: 0.9219  time: 0.4114  data: 0.0001  max mem: 26202
Train Epoch: [7]  [16000/21856]  eta: 0:39:57  lr: 0.000004  loss: 0.9669  time: 0.4118  data: 0.0001  max mem: 26202
Train Epoch: [7]  [16200/21856]  eta: 0:38:35  lr: 0.000004  loss: 1.2833  time: 0.4106  data: 0.0001  max mem: 26202
Train Epoch: [7]  [16400/21856]  eta: 0:37:13  lr: 0.000004  loss: 0.3685  time: 0.4087  data: 0.0001  max mem: 26202
Train Epoch: [7]  [16600/21856]  eta: 0:35:51  lr: 0.000004  loss: 0.5252  time: 0.4089  data: 0.0001  max mem: 26202
Train Epoch: [7]  [16800/21856]  eta: 0:34:30  lr: 0.000004  loss: 0.6466  time: 0.4092  data: 0.0001  max mem: 26202
Train Epoch: [7]  [17000/21856]  eta: 0:33:08  lr: 0.000004  loss: 1.1794  time: 0.4122  data: 0.0001  max mem: 26202
Train Epoch: [7]  [17200/21856]  eta: 0:31:46  lr: 0.000004  loss: 0.6311  time: 0.4099  data: 0.0001  max mem: 26202
Train Epoch: [7]  [17400/21856]  eta: 0:30:24  lr: 0.000004  loss: 1.6272  time: 0.4080  data: 0.0001  max mem: 26202
Train Epoch: [7]  [17600/21856]  eta: 0:29:02  lr: 0.000004  loss: 1.0171  time: 0.4121  data: 0.0001  max mem: 26202
Train Epoch: [7]  [17800/21856]  eta: 0:27:40  lr: 0.000004  loss: 0.4760  time: 0.4142  data: 0.0001  max mem: 26202
Train Epoch: [7]  [18000/21856]  eta: 0:26:19  lr: 0.000004  loss: 0.3510  time: 0.4106  data: 0.0001  max mem: 26202
Train Epoch: [7]  [18200/21856]  eta: 0:24:57  lr: 0.000004  loss: 0.7977  time: 0.4125  data: 0.0001  max mem: 26202
Train Epoch: [7]  [18400/21856]  eta: 0:23:35  lr: 0.000004  loss: 0.5123  time: 0.4131  data: 0.0001  max mem: 26202
Train Epoch: [7]  [18600/21856]  eta: 0:22:13  lr: 0.000004  loss: 0.7957  time: 0.4127  data: 0.0001  max mem: 26202
Train Epoch: [7]  [18800/21856]  eta: 0:20:51  lr: 0.000004  loss: 1.0893  time: 0.4111  data: 0.0001  max mem: 26202
Train Epoch: [7]  [19000/21856]  eta: 0:19:29  lr: 0.000004  loss: 0.9497  time: 0.4123  data: 0.0001  max mem: 26202
Train Epoch: [7]  [19200/21856]  eta: 0:18:08  lr: 0.000004  loss: 0.7222  time: 0.4120  data: 0.0001  max mem: 26202
Train Epoch: [7]  [19400/21856]  eta: 0:16:46  lr: 0.000004  loss: 1.0326  time: 0.4150  data: 0.0001  max mem: 26202
Train Epoch: [7]  [19600/21856]  eta: 0:15:24  lr: 0.000004  loss: 0.7189  time: 0.4110  data: 0.0001  max mem: 26202
Train Epoch: [7]  [19800/21856]  eta: 0:14:02  lr: 0.000004  loss: 0.7497  time: 0.4097  data: 0.0001  max mem: 26202
Train Epoch: [7]  [20000/21856]  eta: 0:12:40  lr: 0.000004  loss: 1.4421  time: 0.4133  data: 0.0001  max mem: 26202
Train Epoch: [7]  [20200/21856]  eta: 0:11:18  lr: 0.000004  loss: 1.7888  time: 0.4104  data: 0.0001  max mem: 26202
Train Epoch: [7]  [20400/21856]  eta: 0:09:56  lr: 0.000004  loss: 0.8951  time: 0.4114  data: 0.0001  max mem: 26202
Train Epoch: [7]  [20600/21856]  eta: 0:08:34  lr: 0.000004  loss: 0.9477  time: 0.4097  data: 0.0001  max mem: 26202
Train Epoch: [7]  [20800/21856]  eta: 0:07:12  lr: 0.000004  loss: 0.6188  time: 0.4105  data: 0.0001  max mem: 26202
Train Epoch: [7]  [21000/21856]  eta: 0:05:50  lr: 0.000004  loss: 1.8559  time: 0.4103  data: 0.0001  max mem: 26202
Train Epoch: [7]  [21200/21856]  eta: 0:04:28  lr: 0.000004  loss: 1.2625  time: 0.4104  data: 0.0001  max mem: 26202
Train Epoch: [7]  [21400/21856]  eta: 0:03:06  lr: 0.000004  loss: 0.7829  time: 0.4132  data: 0.0001  max mem: 26202
Train Epoch: [7]  [21600/21856]  eta: 0:01:44  lr: 0.000004  loss: 1.2018  time: 0.4123  data: 0.0001  max mem: 26202
Train Epoch: [7]  [21800/21856]  eta: 0:00:22  lr: 0.000004  loss: 0.8868  time: 0.4135  data: 0.0001  max mem: 26202
Train Epoch: [7]  [21855/21856]  eta: 0:00:00  lr: 0.000004  loss: 0.6501  time: 0.4067  data: 0.0004  max mem: 26202
Train Epoch: [7] Total time: 2:29:19 (0.4099 s / it)
Averaged stats: lr: 0.0000  loss: 0.9157
Train Epoch: [8]  [    0/21856]  eta: 9:03:16  lr: 0.000002  loss: 0.8807  time: 1.4914  data: 0.9047  max mem: 26202
Train Epoch: [8]  [  200/21856]  eta: 2:29:17  lr: 0.000002  loss: 0.6309  time: 0.4070  data: 0.0001  max mem: 26202
Train Epoch: [8]  [  400/21856]  eta: 2:26:57  lr: 0.000002  loss: 0.4857  time: 0.4078  data: 0.0001  max mem: 26202
Train Epoch: [8]  [  600/21856]  eta: 2:25:18  lr: 0.000002  loss: 1.0625  time: 0.4079  data: 0.0001  max mem: 26202
Train Epoch: [8]  [  800/21856]  eta: 2:23:42  lr: 0.000002  loss: 0.4886  time: 0.4073  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 1000/21856]  eta: 2:22:18  lr: 0.000002  loss: 0.5906  time: 0.4118  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 1200/21856]  eta: 2:21:00  lr: 0.000002  loss: 1.4674  time: 0.4138  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 1400/21856]  eta: 2:19:45  lr: 0.000002  loss: 0.6777  time: 0.4111  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 1600/21856]  eta: 2:18:30  lr: 0.000002  loss: 0.7573  time: 0.4125  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 1800/21856]  eta: 2:17:12  lr: 0.000002  loss: 1.8004  time: 0.4110  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 2000/21856]  eta: 2:15:52  lr: 0.000002  loss: 0.7541  time: 0.4118  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 2200/21856]  eta: 2:14:27  lr: 0.000002  loss: 1.0802  time: 0.4064  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 2400/21856]  eta: 2:13:00  lr: 0.000002  loss: 0.7209  time: 0.4071  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 2600/21856]  eta: 2:11:42  lr: 0.000002  loss: 0.4900  time: 0.4159  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 2800/21856]  eta: 2:10:16  lr: 0.000002  loss: 1.1803  time: 0.4101  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 3000/21856]  eta: 2:08:51  lr: 0.000002  loss: 1.3540  time: 0.4073  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 3200/21856]  eta: 2:07:25  lr: 0.000002  loss: 1.0731  time: 0.4078  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 3400/21856]  eta: 2:06:01  lr: 0.000002  loss: 0.5842  time: 0.4078  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 3600/21856]  eta: 2:04:35  lr: 0.000002  loss: 0.7306  time: 0.4054  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 3800/21856]  eta: 2:03:10  lr: 0.000002  loss: 1.2695  time: 0.4059  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 4000/21856]  eta: 2:01:47  lr: 0.000002  loss: 0.4657  time: 0.4065  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 4200/21856]  eta: 2:00:23  lr: 0.000002  loss: 0.6253  time: 0.4087  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 4400/21856]  eta: 1:59:00  lr: 0.000002  loss: 2.0865  time: 0.4062  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 4600/21856]  eta: 1:57:37  lr: 0.000002  loss: 0.5327  time: 0.4104  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 4800/21856]  eta: 1:56:13  lr: 0.000002  loss: 0.5189  time: 0.4060  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 5000/21856]  eta: 1:54:50  lr: 0.000002  loss: 0.5878  time: 0.4072  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 5200/21856]  eta: 1:53:28  lr: 0.000002  loss: 1.2932  time: 0.4085  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 5400/21856]  eta: 1:52:06  lr: 0.000002  loss: 1.9912  time: 0.4102  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 5600/21856]  eta: 1:50:44  lr: 0.000002  loss: 0.8385  time: 0.4083  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 5800/21856]  eta: 1:49:22  lr: 0.000002  loss: 0.6634  time: 0.4092  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 6000/21856]  eta: 1:48:00  lr: 0.000002  loss: 0.3578  time: 0.4080  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 6200/21856]  eta: 1:46:38  lr: 0.000002  loss: 1.0787  time: 0.4086  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 6400/21856]  eta: 1:45:16  lr: 0.000002  loss: 1.1134  time: 0.4081  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 6600/21856]  eta: 1:43:54  lr: 0.000002  loss: 0.4072  time: 0.4075  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 6800/21856]  eta: 1:42:32  lr: 0.000002  loss: 0.6052  time: 0.4089  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 7000/21856]  eta: 1:41:10  lr: 0.000002  loss: 1.1385  time: 0.4083  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 7200/21856]  eta: 1:39:49  lr: 0.000002  loss: 0.9500  time: 0.4092  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 7400/21856]  eta: 1:38:27  lr: 0.000002  loss: 1.1472  time: 0.4086  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 7600/21856]  eta: 1:37:05  lr: 0.000002  loss: 1.7752  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 7800/21856]  eta: 1:35:45  lr: 0.000002  loss: 0.3914  time: 0.4091  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 8000/21856]  eta: 1:34:22  lr: 0.000002  loss: 2.0371  time: 0.4070  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 8200/21856]  eta: 1:33:01  lr: 0.000002  loss: 1.0510  time: 0.4098  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 8400/21856]  eta: 1:31:39  lr: 0.000002  loss: 0.6570  time: 0.4128  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 8600/21856]  eta: 1:30:19  lr: 0.000002  loss: 0.9701  time: 0.4105  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 8800/21856]  eta: 1:28:58  lr: 0.000002  loss: 0.7067  time: 0.4124  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 9000/21856]  eta: 1:27:37  lr: 0.000002  loss: 0.8017  time: 0.4136  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 9200/21856]  eta: 1:26:16  lr: 0.000002  loss: 0.5099  time: 0.4126  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 9400/21856]  eta: 1:24:55  lr: 0.000002  loss: 0.2663  time: 0.4101  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 9600/21856]  eta: 1:23:34  lr: 0.000002  loss: 0.9981  time: 0.4119  data: 0.0001  max mem: 26202
Train Epoch: [8]  [ 9800/21856]  eta: 1:22:12  lr: 0.000002  loss: 0.9096  time: 0.4115  data: 0.0001  max mem: 26202
Train Epoch: [8]  [10000/21856]  eta: 1:20:51  lr: 0.000002  loss: 0.7186  time: 0.4120  data: 0.0001  max mem: 26202
Train Epoch: [8]  [10200/21856]  eta: 1:19:30  lr: 0.000002  loss: 0.9208  time: 0.4119  data: 0.0001  max mem: 26202
Train Epoch: [8]  [10400/21856]  eta: 1:18:08  lr: 0.000002  loss: 0.4906  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [8]  [10600/21856]  eta: 1:16:47  lr: 0.000002  loss: 0.4834  time: 0.4099  data: 0.0001  max mem: 26202
Train Epoch: [8]  [10800/21856]  eta: 1:15:25  lr: 0.000002  loss: 1.0151  time: 0.4097  data: 0.0001  max mem: 26202
Train Epoch: [8]  [11000/21856]  eta: 1:14:03  lr: 0.000002  loss: 1.3815  time: 0.4123  data: 0.0001  max mem: 26202
Train Epoch: [8]  [11200/21856]  eta: 1:12:42  lr: 0.000002  loss: 2.1979  time: 0.4115  data: 0.0001  max mem: 26202
Train Epoch: [8]  [11400/21856]  eta: 1:11:20  lr: 0.000002  loss: 0.5960  time: 0.4092  data: 0.0001  max mem: 26202
Train Epoch: [8]  [11600/21856]  eta: 1:09:58  lr: 0.000002  loss: 0.9552  time: 0.4111  data: 0.0001  max mem: 26202
Train Epoch: [8]  [11800/21856]  eta: 1:08:37  lr: 0.000002  loss: 0.7492  time: 0.4136  data: 0.0001  max mem: 26202
Train Epoch: [8]  [12000/21856]  eta: 1:07:15  lr: 0.000002  loss: 0.7173  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [8]  [12200/21856]  eta: 1:05:53  lr: 0.000002  loss: 0.8495  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [8]  [12400/21856]  eta: 1:04:31  lr: 0.000002  loss: 0.4187  time: 0.4101  data: 0.0001  max mem: 26202
Train Epoch: [8]  [12600/21856]  eta: 1:03:10  lr: 0.000002  loss: 0.7045  time: 0.4097  data: 0.0001  max mem: 26202
Train Epoch: [8]  [12800/21856]  eta: 1:01:48  lr: 0.000002  loss: 0.6387  time: 0.4099  data: 0.0001  max mem: 26202
Train Epoch: [8]  [13000/21856]  eta: 1:00:26  lr: 0.000002  loss: 0.6465  time: 0.4124  data: 0.0001  max mem: 26202
Train Epoch: [8]  [13200/21856]  eta: 0:59:04  lr: 0.000002  loss: 0.3789  time: 0.4103  data: 0.0001  max mem: 26202
Train Epoch: [8]  [13400/21856]  eta: 0:57:43  lr: 0.000002  loss: 0.6509  time: 0.4112  data: 0.0001  max mem: 26202
Train Epoch: [8]  [13600/21856]  eta: 0:56:21  lr: 0.000002  loss: 0.5947  time: 0.4093  data: 0.0001  max mem: 26202
Train Epoch: [8]  [13800/21856]  eta: 0:54:59  lr: 0.000002  loss: 1.7645  time: 0.4097  data: 0.0001  max mem: 26202
Train Epoch: [8]  [14000/21856]  eta: 0:53:37  lr: 0.000002  loss: 0.9510  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [8]  [14200/21856]  eta: 0:52:15  lr: 0.000002  loss: 0.3770  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [8]  [14400/21856]  eta: 0:50:53  lr: 0.000002  loss: 0.8746  time: 0.4100  data: 0.0001  max mem: 26202
Train Epoch: [8]  [14600/21856]  eta: 0:49:32  lr: 0.000002  loss: 0.9772  time: 0.4116  data: 0.0001  max mem: 26202
Train Epoch: [8]  [14800/21856]  eta: 0:48:10  lr: 0.000002  loss: 0.5331  time: 0.4118  data: 0.0001  max mem: 26202
Train Epoch: [8]  [15000/21856]  eta: 0:46:48  lr: 0.000002  loss: 1.0034  time: 0.4111  data: 0.0001  max mem: 26202
Train Epoch: [8]  [15200/21856]  eta: 0:45:26  lr: 0.000002  loss: 0.8357  time: 0.4098  data: 0.0001  max mem: 26202
Train Epoch: [8]  [15400/21856]  eta: 0:44:04  lr: 0.000002  loss: 1.3781  time: 0.4089  data: 0.0001  max mem: 26202
Train Epoch: [8]  [15600/21856]  eta: 0:42:42  lr: 0.000002  loss: 0.4461  time: 0.4096  data: 0.0001  max mem: 26202
Train Epoch: [8]  [15800/21856]  eta: 0:41:20  lr: 0.000002  loss: 1.3817  time: 0.4108  data: 0.0001  max mem: 26202
Train Epoch: [8]  [16000/21856]  eta: 0:39:58  lr: 0.000002  loss: 0.6766  time: 0.4079  data: 0.0001  max mem: 26202
Train Epoch: [8]  [16200/21856]  eta: 0:38:36  lr: 0.000002  loss: 0.7736  time: 0.4105  data: 0.0001  max mem: 26202
Train Epoch: [8]  [16400/21856]  eta: 0:37:15  lr: 0.000002  loss: 0.9062  time: 0.4114  data: 0.0001  max mem: 26202
Train Epoch: [8]  [16600/21856]  eta: 0:35:53  lr: 0.000002  loss: 0.8279  time: 0.4097  data: 0.0001  max mem: 26202
Train Epoch: [8]  [16800/21856]  eta: 0:34:31  lr: 0.000002  loss: 1.0052  time: 0.4083  data: 0.0001  max mem: 26202
Train Epoch: [8]  [17000/21856]  eta: 0:33:09  lr: 0.000002  loss: 1.0967  time: 0.4099  data: 0.0001  max mem: 26202
Train Epoch: [8]  [17200/21856]  eta: 0:31:47  lr: 0.000002  loss: 0.8566  time: 0.4074  data: 0.0001  max mem: 26202
Train Epoch: [8]  [17400/21856]  eta: 0:30:25  lr: 0.000002  loss: 0.9093  time: 0.4094  data: 0.0001  max mem: 26202
Train Epoch: [8]  [17600/21856]  eta: 0:29:03  lr: 0.000002  loss: 0.4782  time: 0.4077  data: 0.0001  max mem: 26202
Train Epoch: [8]  [17800/21856]  eta: 0:27:41  lr: 0.000002  loss: 0.8163  time: 0.4073  data: 0.0001  max mem: 26202
Train Epoch: [8]  [18000/21856]  eta: 0:26:19  lr: 0.000002  loss: 0.4728  time: 0.4090  data: 0.0001  max mem: 26202
Train Epoch: [8]  [18200/21856]  eta: 0:24:57  lr: 0.000002  loss: 0.8300  time: 0.4073  data: 0.0001  max mem: 26202
Train Epoch: [8]  [18400/21856]  eta: 0:23:35  lr: 0.000002  loss: 1.0362  time: 0.4086  data: 0.0001  max mem: 26202
Train Epoch: [8]  [18600/21856]  eta: 0:22:13  lr: 0.000002  loss: 0.8432  time: 0.4107  data: 0.0001  max mem: 26202
Train Epoch: [8]  [18800/21856]  eta: 0:20:51  lr: 0.000002  loss: 0.6922  time: 0.4114  data: 0.0001  max mem: 26202
Train Epoch: [8]  [19000/21856]  eta: 0:19:29  lr: 0.000002  loss: 0.4623  time: 0.4075  data: 0.0001  max mem: 26202
Train Epoch: [8]  [19200/21856]  eta: 0:18:07  lr: 0.000002  loss: 1.3590  time: 0.4075  data: 0.0001  max mem: 26202
Train Epoch: [8]  [19400/21856]  eta: 0:16:45  lr: 0.000002  loss: 0.5740  time: 0.4083  data: 0.0001  max mem: 26202
Train Epoch: [8]  [19600/21856]  eta: 0:15:23  lr: 0.000002  loss: 0.9072  time: 0.4094  data: 0.0001  max mem: 26202
Train Epoch: [8]  [19800/21856]  eta: 0:14:01  lr: 0.000002  loss: 1.0589  time: 0.4129  data: 0.0001  max mem: 26202
Train Epoch: [8]  [20000/21856]  eta: 0:12:40  lr: 0.000002  loss: 0.8912  time: 0.4086  data: 0.0001  max mem: 26202
Train Epoch: [8]  [20200/21856]  eta: 0:11:18  lr: 0.000002  loss: 0.9083  time: 0.4084  data: 0.0001  max mem: 26202
Train Epoch: [8]  [20400/21856]  eta: 0:09:56  lr: 0.000002  loss: 0.4822  time: 0.4111  data: 0.0001  max mem: 26202
Train Epoch: [8]  [20600/21856]  eta: 0:08:34  lr: 0.000002  loss: 0.4950  time: 0.4117  data: 0.0001  max mem: 26202
Train Epoch: [8]  [20800/21856]  eta: 0:07:12  lr: 0.000002  loss: 0.5715  time: 0.4085  data: 0.0001  max mem: 26202
Train Epoch: [8]  [21000/21856]  eta: 0:05:50  lr: 0.000002  loss: 0.5174  time: 0.4100  data: 0.0001  max mem: 26202
Train Epoch: [8]  [21200/21856]  eta: 0:04:28  lr: 0.000002  loss: 0.6041  time: 0.4076  data: 0.0001  max mem: 26202
Train Epoch: [8]  [21400/21856]  eta: 0:03:06  lr: 0.000002  loss: 0.5422  time: 0.4084  data: 0.0001  max mem: 26202
Train Epoch: [8]  [21600/21856]  eta: 0:01:44  lr: 0.000002  loss: 0.9079  time: 0.4119  data: 0.0001  max mem: 26202
Train Epoch: [8]  [21800/21856]  eta: 0:00:22  lr: 0.000002  loss: 1.8396  time: 0.4093  data: 0.0001  max mem: 26202
Train Epoch: [8]  [21855/21856]  eta: 0:00:00  lr: 0.000002  loss: 0.8386  time: 0.4071  data: 0.0004  max mem: 26202
Train Epoch: [8] Total time: 2:29:11 (0.4096 s / it)
Averaged stats: lr: 0.0000  loss: 0.8919
Train Epoch: [9]  [    0/21856]  eta: 8:52:50  lr: 0.000000  loss: 0.5231  time: 1.4628  data: 0.8859  max mem: 26202
Train Epoch: [9]  [  200/21856]  eta: 2:30:37  lr: 0.000000  loss: 0.5727  time: 0.4104  data: 0.0001  max mem: 26202
Train Epoch: [9]  [  400/21856]  eta: 2:27:59  lr: 0.000000  loss: 1.0215  time: 0.4104  data: 0.0001  max mem: 26202
Train Epoch: [9]  [  600/21856]  eta: 2:26:13  lr: 0.000000  loss: 0.4189  time: 0.4108  data: 0.0001  max mem: 26202
Train Epoch: [9]  [  800/21856]  eta: 2:24:40  lr: 0.000000  loss: 0.4783  time: 0.4120  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 1000/21856]  eta: 2:23:16  lr: 0.000000  loss: 0.5549  time: 0.4123  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 1200/21856]  eta: 2:21:57  lr: 0.000000  loss: 0.6781  time: 0.4110  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 1400/21856]  eta: 2:20:32  lr: 0.000000  loss: 1.9071  time: 0.4100  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 1600/21856]  eta: 2:19:05  lr: 0.000000  loss: 0.7991  time: 0.4115  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 1800/21856]  eta: 2:17:40  lr: 0.000000  loss: 1.3322  time: 0.4114  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 2000/21856]  eta: 2:16:17  lr: 0.000000  loss: 0.8912  time: 0.4118  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 2200/21856]  eta: 2:14:53  lr: 0.000000  loss: 1.0539  time: 0.4127  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 2400/21856]  eta: 2:13:32  lr: 0.000000  loss: 0.5800  time: 0.4130  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 2600/21856]  eta: 2:12:08  lr: 0.000000  loss: 0.6364  time: 0.4095  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 2800/21856]  eta: 2:10:44  lr: 0.000000  loss: 1.5637  time: 0.4108  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 3000/21856]  eta: 2:09:21  lr: 0.000000  loss: 1.0918  time: 0.4144  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 3200/21856]  eta: 2:07:58  lr: 0.000000  loss: 0.5981  time: 0.4108  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 3400/21856]  eta: 2:06:35  lr: 0.000000  loss: 2.2716  time: 0.4104  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 3600/21856]  eta: 2:05:11  lr: 0.000000  loss: 1.3092  time: 0.4094  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 3800/21856]  eta: 2:03:47  lr: 0.000000  loss: 0.9476  time: 0.4103  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 4000/21856]  eta: 2:02:24  lr: 0.000000  loss: 0.7898  time: 0.4101  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 4200/21856]  eta: 2:01:01  lr: 0.000000  loss: 0.6899  time: 0.4118  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 4400/21856]  eta: 1:59:39  lr: 0.000000  loss: 0.9140  time: 0.4122  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 4600/21856]  eta: 1:58:18  lr: 0.000000  loss: 0.6616  time: 0.4105  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 4800/21856]  eta: 1:56:54  lr: 0.000000  loss: 1.5611  time: 0.4094  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 5000/21856]  eta: 1:55:31  lr: 0.000000  loss: 0.7419  time: 0.4121  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 5200/21856]  eta: 1:54:08  lr: 0.000000  loss: 0.6582  time: 0.4100  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 5400/21856]  eta: 1:52:45  lr: 0.000000  loss: 1.0055  time: 0.4101  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 5600/21856]  eta: 1:51:22  lr: 0.000000  loss: 1.0014  time: 0.4117  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 5800/21856]  eta: 1:50:00  lr: 0.000000  loss: 0.5541  time: 0.4103  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 6000/21856]  eta: 1:48:38  lr: 0.000000  loss: 0.6533  time: 0.4109  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 6200/21856]  eta: 1:47:15  lr: 0.000000  loss: 0.9728  time: 0.4109  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 6400/21856]  eta: 1:45:52  lr: 0.000000  loss: 0.3870  time: 0.4120  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 6600/21856]  eta: 1:44:30  lr: 0.000000  loss: 0.5838  time: 0.4085  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 6800/21856]  eta: 1:43:09  lr: 0.000000  loss: 0.8112  time: 0.4164  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 7000/21856]  eta: 1:41:49  lr: 0.000000  loss: 1.0496  time: 0.4129  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 7200/21856]  eta: 1:40:28  lr: 0.000000  loss: 0.8379  time: 0.4128  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 7400/21856]  eta: 1:39:06  lr: 0.000000  loss: 1.8796  time: 0.4121  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 7600/21856]  eta: 1:37:44  lr: 0.000000  loss: 1.1532  time: 0.4139  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 7800/21856]  eta: 1:36:23  lr: 0.000000  loss: 1.2157  time: 0.4180  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 8000/21856]  eta: 1:35:02  lr: 0.000000  loss: 0.4128  time: 0.4138  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 8200/21856]  eta: 1:33:40  lr: 0.000000  loss: 0.4913  time: 0.4147  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 8400/21856]  eta: 1:32:19  lr: 0.000000  loss: 0.8229  time: 0.4137  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 8600/21856]  eta: 1:30:57  lr: 0.000000  loss: 0.4058  time: 0.4161  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 8800/21856]  eta: 1:29:36  lr: 0.000000  loss: 0.3820  time: 0.4145  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 9000/21856]  eta: 1:28:15  lr: 0.000000  loss: 1.0506  time: 0.4173  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 9200/21856]  eta: 1:26:53  lr: 0.000000  loss: 1.4176  time: 0.4164  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 9400/21856]  eta: 1:25:32  lr: 0.000000  loss: 0.8826  time: 0.4163  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 9600/21856]  eta: 1:24:11  lr: 0.000000  loss: 0.6790  time: 0.4156  data: 0.0001  max mem: 26202
Train Epoch: [9]  [ 9800/21856]  eta: 1:22:49  lr: 0.000000  loss: 0.7152  time: 0.4158  data: 0.0001  max mem: 26202
Train Epoch: [9]  [10000/21856]  eta: 1:21:28  lr: 0.000000  loss: 1.0118  time: 0.4236  data: 0.0001  max mem: 26202
Train Epoch: [9]  [10200/21856]  eta: 1:20:06  lr: 0.000000  loss: 0.7988  time: 0.4150  data: 0.0001  max mem: 26202
Train Epoch: [9]  [10400/21856]  eta: 1:18:45  lr: 0.000000  loss: 0.4514  time: 0.4185  data: 0.0001  max mem: 26202
Train Epoch: [9]  [10600/21856]  eta: 1:17:24  lr: 0.000000  loss: 1.2427  time: 0.4154  data: 0.0001  max mem: 26202
Train Epoch: [9]  [10800/21856]  eta: 1:16:02  lr: 0.000000  loss: 0.6170  time: 0.4158  data: 0.0001  max mem: 26202
Train Epoch: [9]  [11000/21856]  eta: 1:14:40  lr: 0.000000  loss: 0.6130  time: 0.4154  data: 0.0001  max mem: 26202
Train Epoch: [9]  [11200/21856]  eta: 1:13:18  lr: 0.000000  loss: 0.7699  time: 0.4148  data: 0.0001  max mem: 26202
Train Epoch: [9]  [11400/21856]  eta: 1:11:56  lr: 0.000000  loss: 0.4465  time: 0.4234  data: 0.0001  max mem: 26202
Train Epoch: [9]  [11600/21856]  eta: 1:10:34  lr: 0.000000  loss: 0.7578  time: 0.4142  data: 0.0001  max mem: 26202
Train Epoch: [9]  [11800/21856]  eta: 1:09:12  lr: 0.000000  loss: 0.6185  time: 0.4144  data: 0.0001  max mem: 26202
Train Epoch: [9]  [12000/21856]  eta: 1:07:50  lr: 0.000000  loss: 0.9655  time: 0.4161  data: 0.0001  max mem: 26202
Train Epoch: [9]  [12200/21856]  eta: 1:06:28  lr: 0.000000  loss: 0.9504  time: 0.4196  data: 0.0001  max mem: 26202
Train Epoch: [9]  [12400/21856]  eta: 1:05:06  lr: 0.000000  loss: 0.4602  time: 0.4179  data: 0.0001  max mem: 26202
Train Epoch: [9]  [12600/21856]  eta: 1:03:44  lr: 0.000000  loss: 0.8572  time: 0.4131  data: 0.0001  max mem: 26202
Train Epoch: [9]  [12800/21856]  eta: 1:02:21  lr: 0.000000  loss: 0.8248  time: 0.4142  data: 0.0001  max mem: 26202
Train Epoch: [9]  [13000/21856]  eta: 1:00:59  lr: 0.000000  loss: 1.2530  time: 0.4152  data: 0.0001  max mem: 26202
Train Epoch: [9]  [13200/21856]  eta: 0:59:37  lr: 0.000000  loss: 0.5571  time: 0.4239  data: 0.0001  max mem: 26202
Train Epoch: [9]  [13400/21856]  eta: 0:58:16  lr: 0.000000  loss: 1.3787  time: 0.4244  data: 0.0001  max mem: 26202
Train Epoch: [9]  [13600/21856]  eta: 0:56:54  lr: 0.000000  loss: 0.7939  time: 0.4131  data: 0.0001  max mem: 26202
Train Epoch: [9]  [13800/21856]  eta: 0:55:31  lr: 0.000000  loss: 0.3027  time: 0.4135  data: 0.0001  max mem: 26202
Train Epoch: [9]  [14000/21856]  eta: 0:54:08  lr: 0.000000  loss: 1.5770  time: 0.4147  data: 0.0001  max mem: 26202
Train Epoch: [9]  [14200/21856]  eta: 0:52:45  lr: 0.000000  loss: 1.1561  time: 0.4133  data: 0.0001  max mem: 26202
Train Epoch: [9]  [14400/21856]  eta: 0:51:23  lr: 0.000000  loss: 1.2742  time: 0.4139  data: 0.0001  max mem: 26202
Train Epoch: [9]  [14600/21856]  eta: 0:50:00  lr: 0.000000  loss: 0.7433  time: 0.4166  data: 0.0001  max mem: 26202
Train Epoch: [9]  [14800/21856]  eta: 0:48:38  lr: 0.000000  loss: 0.4362  time: 0.4140  data: 0.0001  max mem: 26202
Train Epoch: [9]  [15000/21856]  eta: 0:47:15  lr: 0.000000  loss: 0.8354  time: 0.4134  data: 0.0001  max mem: 26202
Train Epoch: [9]  [15200/21856]  eta: 0:45:52  lr: 0.000000  loss: 0.4789  time: 0.4128  data: 0.0001  max mem: 26202
Train Epoch: [9]  [15400/21856]  eta: 0:44:29  lr: 0.000000  loss: 1.1675  time: 0.4133  data: 0.0001  max mem: 26202
Train Epoch: [9]  [15600/21856]  eta: 0:43:07  lr: 0.000000  loss: 1.4377  time: 0.4142  data: 0.0001  max mem: 26202
Train Epoch: [9]  [15800/21856]  eta: 0:41:44  lr: 0.000000  loss: 0.8502  time: 0.4121  data: 0.0001  max mem: 26202
Train Epoch: [9]  [16000/21856]  eta: 0:40:21  lr: 0.000000  loss: 0.5185  time: 0.4139  data: 0.0001  max mem: 26202
Train Epoch: [9]  [16200/21856]  eta: 0:38:59  lr: 0.000000  loss: 0.5229  time: 0.4123  data: 0.0001  max mem: 26202
Train Epoch: [9]  [16400/21856]  eta: 0:37:36  lr: 0.000000  loss: 0.4307  time: 0.4158  data: 0.0001  max mem: 26202
Train Epoch: [9]  [16600/21856]  eta: 0:36:13  lr: 0.000000  loss: 0.6964  time: 0.4132  data: 0.0001  max mem: 26202
Train Epoch: [9]  [16800/21856]  eta: 0:34:51  lr: 0.000000  loss: 0.7074  time: 0.4140  data: 0.0001  max mem: 26202
Train Epoch: [9]  [17000/21856]  eta: 0:33:28  lr: 0.000000  loss: 0.4512  time: 0.4140  data: 0.0001  max mem: 26202
Train Epoch: [9]  [17200/21856]  eta: 0:32:05  lr: 0.000000  loss: 0.9389  time: 0.4149  data: 0.0001  max mem: 26202
Train Epoch: [9]  [17400/21856]  eta: 0:30:43  lr: 0.000000  loss: 0.3122  time: 0.4138  data: 0.0001  max mem: 26202
Train Epoch: [9]  [17600/21856]  eta: 0:29:20  lr: 0.000000  loss: 0.6785  time: 0.4144  data: 0.0001  max mem: 26202
Train Epoch: [9]  [17800/21856]  eta: 0:27:57  lr: 0.000000  loss: 0.9991  time: 0.4143  data: 0.0001  max mem: 26202
Train Epoch: [9]  [18000/21856]  eta: 0:26:34  lr: 0.000000  loss: 1.2374  time: 0.4136  data: 0.0001  max mem: 26202
Train Epoch: [9]  [18200/21856]  eta: 0:25:12  lr: 0.000000  loss: 0.4281  time: 0.4164  data: 0.0001  max mem: 26202
Train Epoch: [9]  [18400/21856]  eta: 0:23:49  lr: 0.000000  loss: 1.0268  time: 0.4155  data: 0.0001  max mem: 26202
Train Epoch: [9]  [18600/21856]  eta: 0:22:26  lr: 0.000000  loss: 0.8662  time: 0.4143  data: 0.0001  max mem: 26202
Train Epoch: [9]  [18800/21856]  eta: 0:21:04  lr: 0.000000  loss: 0.9049  time: 0.4150  data: 0.0001  max mem: 26202
Train Epoch: [9]  [19000/21856]  eta: 0:19:41  lr: 0.000000  loss: 0.5651  time: 0.4146  data: 0.0001  max mem: 26202
Train Epoch: [9]  [19200/21856]  eta: 0:18:18  lr: 0.000000  loss: 1.1224  time: 0.4147  data: 0.0001  max mem: 26202
Train Epoch: [9]  [19400/21856]  eta: 0:16:56  lr: 0.000000  loss: 0.5872  time: 0.4133  data: 0.0001  max mem: 26202
Train Epoch: [9]  [19600/21856]  eta: 0:15:33  lr: 0.000000  loss: 0.4231  time: 0.4164  data: 0.0001  max mem: 26202
Train Epoch: [9]  [19800/21856]  eta: 0:14:10  lr: 0.000000  loss: 0.8099  time: 0.4133  data: 0.0001  max mem: 26202
Train Epoch: [9]  [20000/21856]  eta: 0:12:47  lr: 0.000000  loss: 0.5082  time: 0.4129  data: 0.0001  max mem: 26202
Train Epoch: [9]  [20200/21856]  eta: 0:11:25  lr: 0.000000  loss: 0.5968  time: 0.4150  data: 0.0001  max mem: 26202
Train Epoch: [9]  [20400/21856]  eta: 0:10:02  lr: 0.000000  loss: 1.1130  time: 0.4137  data: 0.0001  max mem: 26202
Train Epoch: [9]  [20600/21856]  eta: 0:08:39  lr: 0.000000  loss: 0.7680  time: 0.4118  data: 0.0001  max mem: 26202
Train Epoch: [9]  [20800/21856]  eta: 0:07:16  lr: 0.000000  loss: 1.4691  time: 0.4124  data: 0.0001  max mem: 26202
Train Epoch: [9]  [21000/21856]  eta: 0:05:54  lr: 0.000000  loss: 2.3144  time: 0.4126  data: 0.0001  max mem: 26202
Train Epoch: [9]  [21200/21856]  eta: 0:04:31  lr: 0.000000  loss: 0.8400  time: 0.4119  data: 0.0001  max mem: 26202
Train Epoch: [9]  [21400/21856]  eta: 0:03:08  lr: 0.000000  loss: 0.8033  time: 0.4136  data: 0.0001  max mem: 26202
Train Epoch: [9]  [21600/21856]  eta: 0:01:45  lr: 0.000000  loss: 0.6214  time: 0.4138  data: 0.0001  max mem: 26202
Train Epoch: [9]  [21800/21856]  eta: 0:00:23  lr: 0.000000  loss: 0.6066  time: 0.4140  data: 0.0001  max mem: 26202
Train Epoch: [9]  [21855/21856]  eta: 0:00:00  lr: 0.000000  loss: 0.4153  time: 0.4094  data: 0.0004  max mem: 26202
Train Epoch: [9] Total time: 2:30:41 (0.4137 s / it)
Averaged stats: lr: 0.0000  loss: 0.8781
Generate VQA test result:  [   0/2333]  eta: 1:21:54    time: 2.1065  data: 1.0375  max mem: 26202
Generate VQA test result:  [ 200/2333]  eta: 0:12:05    time: 0.3319  data: 0.0001  max mem: 26202
Generate VQA test result:  [ 400/2333]  eta: 0:10:49    time: 0.3314  data: 0.0001  max mem: 26202
Generate VQA test result:  [ 600/2333]  eta: 0:09:39    time: 0.3313  data: 0.0001  max mem: 26202
Generate VQA test result:  [ 800/2333]  eta: 0:08:31    time: 0.3308  data: 0.0001  max mem: 26202
Generate VQA test result:  [1000/2333]  eta: 0:07:24    time: 0.3299  data: 0.0001  max mem: 26202
Generate VQA test result:  [1200/2333]  eta: 0:06:17    time: 0.3308  data: 0.0001  max mem: 26202
Generate VQA test result:  [1400/2333]  eta: 0:05:10    time: 0.3313  data: 0.0001  max mem: 26202
Generate VQA test result:  [1600/2333]  eta: 0:04:03    time: 0.3316  data: 0.0001  max mem: 26202
Generate VQA test result:  [1800/2333]  eta: 0:02:57    time: 0.3320  data: 0.0001  max mem: 26202
Generate VQA test result:  [2000/2333]  eta: 0:01:50    time: 0.3318  data: 0.0001  max mem: 26202
Generate VQA test result:  [2200/2333]  eta: 0:00:44    time: 0.3314  data: 0.0001  max mem: 26202
Generate VQA test result:  [2332/2333]  eta: 0:00:00    time: 0.3231  data: 0.0001  max mem: 26202
Generate VQA test result: Total time: 0:12:55 (0.3323 s / it)
result file saved to output/vqa_v2_Pretrain_concated_pred_4M2022-12-05-03:23:09/result/vqa_result.json
Training time 1 day, 1:12:22
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Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
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[{"test-dev": {"yes/no": 91.39, "number": 56.28, "other": 67.37, "overall": 76.0}}, {"test-standard": {"yes/no": 91.45, "number": 55.78, "other": 67.56, "overall": 76.18}}]