serihiro

I have tried the quickstart of https://github.com/blue-oil/blueoil/tree/master/dlk .

venv ❯ PYTHONPATH=python/dlk python python/dlk/scripts/generate_project.py --help

Options:
  -i, --input_path PATH           protobuf path which you want to convert to C
                                  codes
  -o, --output_path TEXT          output path which you want to export any
                                  generated files

serihiro

About this note

• I tried "Running AlexNet on Raspberry Pi with Arm Compute Library" at arm Developmer with Rasberry pi 3B+.
• But some descriptions in this tutial look wrong or old, so it could not work for me by following this tutorial (as for Aug, 2019).
• So I noted the step that worked for me at this gist.

The step that worked for me

Build ComputeLibrary

• The description in the tutorial

serihiro

# ~/.numpy-site.cfg

[mkl]
library_dirs = /opt/intel/mkl/lib
include_dirs = /opt/intel/mkl/include
mkl_libs = mkl_rt
lapack_libs =

serihiro

#!/bin/bash

if [ $# -ne 2 ]; then
  echo 'Usage: sh ./this_file.sh {image_path} {output_file_path}'
  exit 1
fi

IMAGE_PATH=${1}
OUTPUT_FILE=${2}
cd $BASE_DIRECTORY

serihiro

#!/bin/bash

SUB_DIRECTORY_LIST=(0 1 2 3 4 5 6 7 8 9 a b c d e f)

if [ $# -ne 2 ]; then
    echo 'Usage: sh ./this_file.sh {target_directory} {output_file_path}'
    exit 1
fi

BASE_DIRECTORY=$(cd ${1} && pwd)

serihiro

import concurrent.futures
import argparse
import os
import glob
import csv

SUB_DIRECTORIES = list(map(lambda x: str(x), range(0,10) ))  + ['a', 'b', 'c', 'd', 'e', 'f']

def generate_list(sub_directory):
    global label_list

serihiro

#!/bin/bash

rank=`python get_mpi_rank.py`
if [ ${rank} -eq 0 ]; then
    echo 'I am rank 0'
elif [ ${rank} -eq 1 ]; then
    echo 'I am rank 1'
elif [ ${rank} -eq 2 ]; then
    echo 'I am rank 2'
elif [ ${rank} -eq 3 ]; then

serihiro

import multiprocessing
import queue
import argparse
import time


def task1(out_queue):
    for i in range(0, 5):
        out_queue.put(i)

serihiro

import multiprocessing
import argparse

queue = None


def task(queue, value):
    queue.put(value)

serihiro

from chainer.iterators._statemachine import IteratorState
from chainer.iterators._statemachine import iterator_statemachine
from chainer.iterators.order_samplers import ShuffleOrderSampler
import numpy

dataset_length = 100
batch_size = 32
repeat = True
order_sampler = ShuffleOrderSampler()