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# /etc/udev/rules.d/70-huawei-e3.conf

# Necessary for network interface name
SUBSYSTEM=="net", ACTION=="add", ATTRS{idVendor}=="12d1", ATTRS{idProduct}=="14dc", NAME="usb0"

# Might be duplicate to usb_modeswitch config, however it's good to have it there
ACTION=="add", SUBSYSTEM=="usb", ATTRS{idVendor}=="12d1", ATTRS{idProduct}=="1f01", RUN+="/usr/sbin/usb_modeswitch -c /etc/usb_modeswitch.d/huawei_e3.conf"

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void myfunc(
		int *inputTn1,
		int *inputTn2,
		int *outputTn,
		int len) {
  
#pragma HLS INLINE
  
	for(int idx=0; idx<len; idx++){
#pragma HLS PIPELINE II=1

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#include <stdio.h>


#define DATA_SIZE 17
#define VEC_SIZE 16


struct _float16{
	float vec[VEC_SIZE];
};

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1. install yay or pikaur, DO NOT use pacaur as it does not handle version specific dependecies well(github issue).

2. install libpgm-git from aur

3. set MAKEFLAGS option to -j8 in /etc/makepkg.conf

4. increase sudo session timeout in /etc/sudoers :
   Defaults timestamp_timeout=600

5. start with: yay -S ros-melodic-desktop-full

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import numpy as np

a = np.zeros(shape=[33052,	10225], dtype=np.float32)
b = np.zeros(shape=[7086,	10225], dtype=np.float32)

print "Shape_a: ", a.shape
print "Shape_b: ", b.shape

print "\nProcessing..."

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import tensorflow as tf

mat1 = [0,1,2]
mat2 = [2,1,0]

with tf.device('/gpu:0'):
	tn1 = tf.placeholder(dtype= tf.int32, shape=[3])
	tn2 = tf.placeholder(dtype= tf.int32, shape=[3])
	tn3 = tn1 + tn2

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# Modified evaluation script of PointNet for DGCNN
# (unofficial)

import argparse
import math
import h5py
import numpy as np
import tensorflow as tf
import socket
import importlib