Hi NVIDIA team, I’m trying to install TensorFlow on my Nano according to this guide you’ve published. However, when I finish running those commands, the Nano runs out of space - I cannot download anything else (no more packages, no other files), and the Nano will not boot again.
I’ve run these commands on a fresh install, so it is these packages that are taking up so much space. Any way to fix this problem and be able to run code that uses TensorFlow on my Nano?
- Jetpack 4.6 (flashed with most recent image today)
- Jetson Nano B01
- 16 GB SD card (extending the partition as here is not an option)
alexa@alexa-nano:~/hardware-module$ lsblk -f /dev/mmcblk0 NAME FSTYPE LABEL UUID MOUNTPOINT mmcblk0 ├─mmcblk0p1 ext4 b1c100cd-cc74-4e7f-acb8-f0d34c931ee8 / ├─mmcblk0p2 ├─mmcblk0p3 ├─mmcblk0p4 ├─mmcblk0p5 ├─mmcblk0p6 ├─mmcblk0p7 ├─mmcblk0p8 ├─mmcblk0p9 ├─mmcblk0p10 ├─mmcblk0p11 ├─mmcblk0p12 ├─mmcblk0p13 └─mmcblk0p14 alexa@alexa-nano:~/hardware-module$ df -h Filesystem Size Used Avail Use% Mounted on /dev/mmcblk0p1 15G 14G 546M 97% / none 1.7G 0 1.7G 0% /dev tmpfs 2.0G 12M 2.0G 1% /dev/shm tmpfs 2.0G 30M 2.0G 2% /run tmpfs 5.0M 4.0K 5.0M 1% /run/lock tmpfs 2.0G 0 2.0G 0% /sys/fs/cgroup tmpfs 396M 0 396M 0% /run/user/0 tmpfs 396M 20K 396M 1% /run/user/120 tmpfs 396M 148K 396M 1% /run/user/1000