andrewssobral

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YouTube Channel https://www.youtube.com/c/jerrylokjianming

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How to Crack Sublime Text 3.2.2 Build 3211 with Hex Editor (Windows | Without License) ↓

1. Download & Install Sublime Text 3.2.2 Build 3211
2. Visit https://hexed.it/

andrewssobral

/*
	Check SSE/AVX support.
	This application can detect the instruction support of
	SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, SSE4a, SSE5, and AVX.
	grep avx /proc/cpuinfo
	g++ ssecheck.cpp -o ssecheck
*/

#include <iostream>
#ifdef _MSC_VER

andrewssobral

import tensorflow as tf
import numpy as np
import time

from tensorflow.contrib.rnn import BasicLSTMCell

# https://github.com/tensorflow/tensorflow/issues/24828
try:
    from tensorflow.compat.v1 import ConfigProto
    from tensorflow.compat.v1 import InteractiveSession

andrewssobral

#!/bin/bash

sudo kextunload -b com.apple.iokit.BroadcomBluetoothHostControllerUSBTransport
sudo kextload -b com.apple.iokit.BroadcomBluetoothHostControllerUSBTransport

andrewssobral

#!/bin/bash
#
# pyTorch install script for NVIDIA Jetson TX1/TX2,
# from a fresh flashing of JetPack 2.3.1 / JetPack 3.0 / JetPack 3.1
#
# for the full source, see jetson-reinforcement repo:
#   https://github.com/dusty-nv/jetson-reinforcement/blob/master/CMakePreBuild.sh
#
# note:  pyTorch documentation calls for use of Anaconda,
#        however Anaconda isn't available for aarch64.

andrewssobral

This configuration worked for me, hope it helps

It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b

and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support

Hardware

andrewssobral

# run with a custom --n
# python run_luigi.py SquaredNumbers --local-scheduler --n 20

import luigi

class PrintNumbers(luigi.Task):
    n = luigi.IntParameter(default=10)

    def requires(self):
        return []

andrewssobral

// cat cling_opencv_example.cpp | cling                                                                              
.L /usr/lib/libopencv_highgui.so

#include <opencv/highgui.h>
#include <math.h>
#include <iostream>

using namespace std;

template <typename T> T deg2rad(T deg) { return deg*M_PI/180.0; }

andrewssobral

Building TensorFlow from source for Jetson TX2 with Jetpack 3.2

Jetpack 3.2 includes Cuda 9 and CuDNN 7 so it is necessary to compile it from source.

Step 1 - Get Java

sudo apt-get install openjdk-8-jdk

Step 2 - Get some dependencies

andrewssobral

# --------------------------------------------------------
# Camera sample code for Tegra X2/X1
#
# This program could capture and display video from
# IP CAM, USB webcam, or the Tegra onboard camera.
# Refer to the following blog post for how to set up
# and run the code:
#   https://jkjung-avt.github.io/tx2-camera-with-python/
#
# Written by JK Jung <[email protected]>