bgulla

Jetson Nano Cheatsheet

Below are my personal notes related to the Nvidia Jetson Nano Dev-board.

Performance Management

Nvidia allows your to fine tune the performance of your Jetson nano. More on this here.

Show the current settings

sudo /usr/bin/jetson_clocks.sh --show

JasonAtNvidia

#!/bin/bash
#Jason T. 2-6-2018

# Check specifically for the run command
if [[ $# -ge 2 && $1 == "run" ]]; then
    # Tell docker to share the following folders with the base system
    # This allows the docker containers to find CUDA, cuDNN, TensorRT
    LIB_MAPS="/usr/lib/aarch64-linux-gnu \
              /usr/local/cuda \
              /usr/local/cuda/lib64"

rbonghi

#define BIT_LEN 7

float line_value(int line) {
  int i;
  int value = 0, count = 0;
  for(i=0; i < BIT_LEN; ++i) {
    int mask = (1 << (i));
    if((line & (mask)) == (mask)) {
      value += i:
      count++;