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View Public Profile. View Review Entries. The only thing necessary is to check whether the Ubuntu machine can communicate over USB with the attached Xilinx development board.
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The last line, can be on your system another line, shows that the Silabs device on the Xilinx development board has been detected and that the drivers on the PC are running. Again, on your machine the numbers might be different. The important line for us is that telling where the driver connects to a TTY port, in this case it is line three "cpx converter now attached to ttyUSB2".
Setup the communication with a terminal window so that commands can be exchanged with the application running in the FPGA on the development board. I'm using here GTKterm as an example but any other debug terminal program can be used. If GTKterm is not installed on you machine and you want to use it:. From eLinux.
Communicate with hardware using USB cable for Ubuntu - gladfozofebdou.tk
You will need to download cuda deb file 1. It allows them to focus on training neural networks and developing software applications rather than spending time on low-level GPU performance tuning. After login and accepting agreement. After execution of above command you will recieve output similar to my output as mentioned below.
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I really hope this guide helps you to install TensorFlow GPU on your machine containing nvidia graphics card. Please let me know if you are finding any difficulties in the installation process.
Put NVIDIA Driver In Persistence Mode
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Sushrut Ashtikar Follow. Select appropriate version of Operating System,Distribution, Version and select Installer type to deb local You will need to download cuda deb file 1. Devices: Thanks ;. Towards Data Science Sharing concepts, ideas, and codes. Co-founder at Nsemble.
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