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#!/bin/bash
#####################################################
# Name: Bash CheatSheet for Mac OSX
# 
# A little overlook of the Bash basics
#
# Usage:
#
# Author: J. Le Coupanec
# Date: 2014/11/04

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    static {
        Logger.i("CPU_ABI : " + Build.CPU_ABI);
        Logger.i("CPU_ABI2 : " + Build.CPU_ABI2);
        Logger.i("OS.ARCH : " + System.getProperty("os.arch"));

        Logger.i("SUPPORTED_ABIS : " + Arrays.toString(Build.SUPPORTED_ABIS));
        Logger.i("SUPPORTED_32_BIT_ABIS : " + Arrays.toString(Build.SUPPORTED_32_BIT_ABIS));
        Logger.i("SUPPORTED_64_BIT_ABIS : " + Arrays.toString(Build.SUPPORTED_64_BIT_ABIS));
    }

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git remote add upstream https://github.com/tensorflow/tensorflow.git
git fetch upstream
git pull upstream master

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tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

csarron

#!/bin/bash

#install dependencies
sudo add-apt-repository ppa:webupd8team/java
sudo apt-get update
sudo apt-get install oracle-java8-installer -y
sudo apt-get install zip unzip autoconf automake libtool curl zlib1g-dev maven -y
sudo apt install python3-numpy python3-dev python3-pip python3-wheel

# install bazel

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#for arm64
git clone https://github.com/bytedeco/javacpp-presets.git

export ANDROID_NDK=/path/to/android-ndk/ # e.g. ~/Android/android-ndk-r16b

# build openblas presets for arm64
mvn install --projects .,openblas -Djavacpp.platform=android-arm64 -Djavacpp.platform.root=$ANDROID_NDK -Djavacpp.platform.compiler=$ANDROID_NDK/toolchains/aarch64-linux-android-4.9/prebuilt/linux-x86_64/bin/aarch64-linux-android-g++
#install openblas javacpp-presets arm64 in local maven repository
mvn install:install-file -Dfile=openblas/target/openblas-android-arm64.jar -DgroupID=org.bytedeco.javacpp-presets -DartifactId=openblas -Dversion=0.2.20-1.4.1-SNAPSHOT -Dpackaging=jar -Dclassifier=android-arm64
 

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import argparse
import json

parser = argparse.ArgumentParser()
parser.add_argument('--input', type=str, default='your.json')
args = parser.parse_args()

# Read dataset
with open(args.input) as f:
	dataset = json.load(f)

csarron

Since Android N, accessing private native libraries is restricted as stated at:
https://source.android.com/devices/tech/config/namespaces_libraries
https://android-developers.googleblog.com/2016/06/improving-stability-with-private-cc.html


Nexus 5:


 Pixel 2: need to switch to slot A in twrp and make changes.

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#! /usr/bin/env python3

import argparse
import os


def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument("-l", "--label_file", type=str, default='labels.txt',
                        help="input image size")

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sudo apt install python3-numpy python3-dev python3-pip python3-wheel

bazel build -c opt --copt=-mavx2 --copt=-mfma  --copt=-msse4.2 --config=cuda -k //tensorflow/tools/pip_package:build_pip_package && \
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg  && \
pip3 install /tmp/tensorflow_pkg/tensorflow*.whl

pip install six numpy wheel 
#Macmini6,2
bazel build -c opt --copt=-mavx --copt=-msse4.2 -k //tensorflow/tools/pip_package:build_pip_package && \
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/macm_tf_pkg