systemd 运行celery

However, the init.d script should still work in those Linux distributions as well since systemd provides the systemd-sysv compatiblity layer which generates services automatically from the init.d scripts we provide.

官网已经有了相关的教程http://docs.celeryproject.org/en/latest/userguide/daemonizing.html#usage-systemd, 但是在实际操作的时候发现按照教程来配置无法正常启动。会报错,于是把服务简化了一下,把配置和服务信息写到了一起。如果你也遇到这个问题可以尝试下面的简化脚本:

[Unit]
Description=Celery Service
After=network.target
 
[Service]
WorkingDirectory=/var/www/html
ExecStart=/usr/local/bin/celery -A proj worker --logfile=/var/log/celery/celery.log  --loglevel="INFO"
 
Restart=on-failure
 
#3秒后启动
RestartSec=3s
 
[Install]
WantedBy=multi-user.target

系统Ubuntu 18.04, systemd版本:

root@mars:/etc/systemd/system# systemctl --version
systemd 229
+PAM +AUDIT +SELINUX +IMA +APPARMOR +SMACK +SYSVINIT +UTMP +LIBCRYPTSETUP 
+GCRYPT +GNUTLS +ACL +XZ -LZ4 +SECCOMP +BLKID +ELFUTILS +KMOD -IDN
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Android Studio动态调试smali

3.3.2版本的android studio支持直接分析或者调试apk,新建项目直接选择调试apk即可。如果实用的是旧版本地android studio可以参考这篇文章:

前面介绍了使用IDA动态调试smali,这种方法设置简单,不用重打包,用起来方便,但是如果变量类型设置错误则会马上退出调试,这是让人不爽的地方,而使用Android studio则不会。
0x01    工具
①Android Studio最新版。
②apktool尽量使用最新版的。
③ideasmali插件。下载地址https://github.com/JesusFreke/smali/wiki/smalidea
0x02     具体步骤
安装ideasmali插件,选择File->Settings->Plugins,安装之前下载的ideasmali插件。
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x86 emulation currently requires hardware acceleration!

很久没有编译安卓的东西,创建了模拟器却发现启动不聊了。网上搜索了一下发现文章真是不少,但是里面说的东西下载地址却不是那个了。并且我安装了sdk之后也没有找到haxm-windows的安装程序。网上搜索了一下发现现在是个开源项目了。https://github.com/intel/haxm

HAXM is a cross-platform hardware-assisted virtualization engine (hypervisor), widely used as an accelerator for Android Emulator and QEMU. It has always supported running on Windows and macOS, and has been ported to other host operating systems as well, such as Linux and NetBSD.

HAXM runs as a kernel-mode driver on the host operating system, and provides a KVM-like interface to user space, thereby enabling applications like QEMU to utilize the hardware virtualization capabilities built into modern Intel CPUs, namely Intel Virtualization Technology.

下载安装就ok了,如果没有开启vt首先要去bios里面开启vt。

 

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CUDNN_STATUS_NOT_INITIALIZED

自从装好tensorflow-gpu 之后其实一直没怎么用,今天跑代码的时候才发现安装的有问题:

测试代码如下:

from sklearn.datasets import load_sample_image
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
 
if __name__ == '__main__':
    # Load sample images
    china = load_sample_image("china.jpg")
    flower = load_sample_image("flower.jpg")
    dataset = np.array([china, flower], dtype=np.float32)
    batch_size, height, width, channels = dataset.shape
    # Create 2 filters
    filters = np.zeros(shape=(7, 7, channels, 2), dtype=np.float32)
    filters[:, 3, :, 0] = 1 # vertical line
    filters[3, :, :, 1] = 1 # horizontal line
    # Create a graph with input X plus a convolutional layer applying the 2 filters
    X = tf.placeholder(tf.float32, shape=(None, height, width, channels))
    convolution = tf.nn.conv2d(X, filters, strides=[1,2,2,1], padding="SAME")
    with tf.Session() as sess:
        output = sess.run(convolution, feed_dict={X: dataset})
    plt.imshow(output[0, :, :, 1], cmap="gray") # plot 1st image's 2nd feature map
    plt.show()
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