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CPU can’t support those instruction set. So please change a computer which supports
SSE4.2 instruction set.
$ python3
>>> from rknn.api import RKNN
2019-06-25 20:10:25.255397: F
tensorflow/core/platform/cpu_feature_guard.cc:37] The TensorFlow library was
compiled to use SSE4.2 instructions, but these aren't available on your
machine.
4.3
Device access permission modification
1.
Plug RK1808 AI compute stick into the USB port of PC, follow these steps to modify
the USB device access permissions
1)
Back to U disk root directory, copy “tool/update_rk1808_ai_cs_rule.sh” to “/tmp”
directory. Modify update_rk1808_ai_cs_rule.sh with executable permission.
2)
update_rk1808_ai_cs_rule.sh must be executed with root authority.
sudo /tmp/update_rk1808_ai_cs_rule.sh
Notice: This step only need to be executed once during installation and does not need
to be executed later.
2.
After executing the script, use the lsusb command to view the device number of the TB-
1808S0.
1)
Input the following command:
lsusb
2)
The execution result as shown below:
Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub
Bus 003 Device 009: ID 2207:0018
Notice: 'Bus 003 Device 009', '003' and '009' represent bus and device number,
3.
We can check the read and write permissions of the RK1808 AI compute stick.
1)
Input the following command:
Summary of Contents for RK1808
Page 1: ...http t rock chips com en Page 1 of 32 RK1808 AI Compute Stick User manual V1 2 0 ...
Page 14: ...Page 14 of 32 5 Check the IP address ...
Page 19: ...Page 19 of 32 2 Work Mode The working mode is master or slave ...
Page 24: ...Page 24 of 32 11 Help RK1808 AI compute stick help information for web configuration ...