---- An Overview of Model Compression and Acceleration Author:Jet Date:2023/07 Background 减少模型存储和计算成本 ,二者都需要对需要量化的层进行替换,最终保存是量化后网络的权重,而非网络结构 这篇文章工程能力很强,值得借鉴 References A Survey of Model Compression and Acceleration
CoRR, abs/1611.06440(2016)AMC: AutoML for Model Compression and Acceleration on Mobile Devices 17 39. Polyak, A., Wolf, L.: Channel-level acceleration of deep face representations. Zhang, Q., Wang, Y., Hu, R.: Structured probabilistic pruning for deep convolutional neural network acceleration
深度学习(Deep Learning)因其计算复杂度或参数冗余,在一些场景和设备上限制了相应的模型部署,需要借助模型压缩、系统优化加速、异构计算等方法突破瓶颈,即分别在算法模型、计算图或算子优化以及硬件加速等层面采取必要的手段:
Performance Guaranteed Network Acceleration via High-Order Residual Quantization ICCV2017 本文是对 XNOR-Networks
return {[type]} [无返回值] * @author 刘国利、陈能堡、HTML5学堂 */ function deviceMotionHandler(eventData){ // acceleration 加速度 var acceleration = eventData.accelerationIncludingGravity; $(".wrap")[0].innerHTML = acceleration.x + " " + acceleration.y + " " + acceleration.z; } 4、为了防止系统认为简单的变化也是在摇动手机,所以在每隔一段时间进行三个方向值的计算; // 获取当前时间 ; y = acceleration.y; z = acceleration.z; // 计算速度,为了防止出现负数,进行绝对值 speed = Math.abs(( ; y = acceleration.y; z = acceleration.z; // 计算速度,为了防止出现负数,进行绝对值
options); } function clearWa() { navigator.accelerometer.clearWatch(watchID); } function onSuccess(acceleration ) { alert('Acceleration X: ' + acceleration.x + '\n' + 'Acceleration Y: ' + acceleration.y + '\n' + 'Acceleration Z: ' + acceleration.z + '\n' + 'Timestamp: ' + acceleration.timestamp
他是采集了手机的加速度数据进行处理,之前也有一个关于这个文章(传送门:Matlab从移动设备获取加速度数据对步数进行计数) 下图是他提供的代码报错问题 看代码报错提示,出现在18行, 看变量区对应的Acceleration hold on,也就是说明后面的plot也是接着前面的xlabel,前面的xlabel未定义为timetable,从而导致了这个报错,代码最终修改为: load('test1.mat'); t = Acceleration.Timestamp ; x = Acceleration.X; y = Acceleration.Y; z = Acceleration.Z; figure plot(x,'b') hold on; plot(y,'r') hold on; plot(z,'g') hold off; legend('X','Y','Z'); xlabel('Relative time (s)'); ylabel('Acceleration (m/s^2)'); x = Acceleration(:,1); y = Acceleration(:,2); z = Acceleration(:,3); mag = sqrt(x.X.^2 +
minus Gx on the x-axis *
* A sensor of this type measures the acceleration applied to the device * (Ad). [1]; * linear_acceleration[2] = event.values[2] - gravity[2]; * } * </pre of A m/s^2, the acceleration value is equal to * A+9.81 which correspond to the acceleration of
:通用加速消耗数量 building_acceleration_reduce_value:建筑加速消耗数量 reaserch_acceleration_reduce_value:科研加速消耗数量 training_acceleration_reduce_value ['general_acceleration_reduce_value'].mean()] building_avg=[df_eli_user['building_acceleration_reduce_value ['reaserch_acceleration_reduce_value'].mean(), df_nor_user['reaserch_acceleration_reduce_value '].mean(), df_nor_user['treatment_acceleration_reduce_value'].mean()] acceleration_data (df_acceleration.round(2)) #可视化 ax=df_acceleration.plot(kind='bar',title='Acceleration Reduce',
/sensor.mat') t = Acceleration.Timestamp; x = Acceleration.X; y = Acceleration.Y; z = Acceleration.Z; plot(t,a); legend('X', 'Y', 'Z'); xlabel('Relative time (s)'); ylabel('Acceleration (m/s^2)'); 7、处理原始加速度数据 plot(t,mag); xlabel('Time (s)'); ylabel('Acceleration (m/s^2)'); 绘图显示加速度幅值不是零均值。 magNoG = mag - mean(mag); plot(t,magNoG); xlabel('Time (s)'); ylabel('Acceleration (m/s^2)'); 绘制的数据现在以零为中心 pks, 'r', 'Marker', 'v', 'LineStyle', 'none'); title('Counting Steps'); xlabel('Time (s)'); ylabel('Acceleration
>0 0 0 0 -0 0</acceleration> <wrench>0 0 0 0 -0 0</wrench> </link> <link name >0 0 0 0 -0 0</acceleration> <wrench>0 0 0 0 -0 0</wrench> </link> <link name >0 0 0 0 -0 0</acceleration> <wrench>0 0 0 0 -0 0</wrench> </link> <link name >0 0 0 0 -0 0</acceleration> <wrench>0 0 0 0 -0 0</wrench> </link> <link name >0 0 0 0 -0 0</acceleration> <wrench>0 0 0 0 -0 0</wrench> </link> <link name
file organization #include <iostream> float distance(float velocity, float acceleration, float time_elapsed << distance(7.0, 2.1, 5.4) << std::endl; return 0; } float distance(float velocity, float acceleration , float time_elapsed) { return velocity*time_elapsed + 0.5*acceleration*time_elapsed*time_elapsed , float time_elapsed) { return velocity*time_elapsed + 0.5*acceleration*time_elapsed*time_elapsed , float time_elapsed) { return velocity*time_elapsed + 0.5*acceleration*time_elapsed*time_elapsed
lastX = lastY = lastZ = 0; window.addEventListener('devicemotion', function(){ var acceleration =event.accelerationIncludingGravity; x = acceleration.x; y = acceleration.y; 0; var x, y, z, last_x=0, last_y=0, last_z=0; function deviceMotionHandler(eventData) { var acceleration { var diffTime = parseInt(curTime -last_update); last_update = curTime; x = acceleration.x ; y = acceleration.y; z = acceleration.z; var speed = Math.abs(x + y + z - last_x
如下图: JS源代码: /** * JavaScript脚本实现回到页面顶部示例 * @param acceleration 速度 * @param stime 时间间隔 (毫秒) **/ function gotoTop(acceleration,stime) { acceleration = acceleration || 0.1; stime = stime || 10; var Math.max(y2, y3)); // 滚动距离 = 目前距离 / 速度, 因为距离原来越小, 速度是大于 1 的数, 所以滚动距离会越来越小 var speeding = 1 + acceleration Math.floor(y / speeding)); // 如果距离不为零, 继续调用函数 if(x > 0 || y > 0) { var run = "gotoTop(" + acceleration
一下项目,重新build一下, IDE便会执行下载一些或缺的东西; ---- 3.Emulator: ERROR: x86 emulation currently requires hardware acceleration
> @optional - (void)accelerometer:(UIAccelerometer *)accelerometer didAccelerate:(UIAcceleration *)acceleration { NSLog(@"\n%f\n%f\n%f",acceleration.x,acceleration.y,acceleration.z); // NSLog(@"%f",acceleration.timestamp NSDate distantPast]; } -(void)updata{ //获取数据 NSLog(@"%f,%f,%f\n%f,%f,%f",manager.accelerometerData.acceleration.x ,manager.accelerometerData.acceleration.y,manager.accelerometerData.acceleration.z,manager.gyroData.rotationRate.x ,manager.accelerometerData.acceleration.y,manager.accelerometerData.acceleration.z,manager.gyroData.rotationRate.x
At //build 2020 we announced that GPU hardware acceleration is coming to the Windows Subsystem for Linux In response to popular demand, these Linux applications and tools can now benefit from GPU acceleration To bring support for GPU acceleration to WSL 2, WDDMv2.9 will expand the reach of GPU-PV to Linux guests So, what about support for GPU acceleration for OpenGL, OpenCL or Vulkan? We are pleased to announce that NVIDIA CUDA acceleration is also coming to WSL!
In our driving experiments, the action space is continuous and two-dimensional: steering angle and acceleration The acceleration can be negative, which corresponds to braking or driving backwards. Actions are two-dimensional vectors that collate steering angle and acceleration: a = ⟨s, a⟩. The acceleration is also scaled between -1 and 1, where 1 corresponds to full forward acceleration and -1 to full reverse acceleration.
var x, y, z, lastX = 0, lastY = 0, lastZ = 0; function deviceMotionHandler(eventData) { var acceleration var diffTime = curTime - last_update; last_update = curTime; x = acceleration.x ; y = acceleration.y; z = acceleration.z; var speed = Math.abs(x
// 注册一个devicemotion时间的接收器: window.addEventListener("devicemotion", function(event) { // 处理event.acceleration event事件包含acceleration、accelerationIncludingGravity、rotationRate以及interval四个属性。 acceleration指定设备相对于地球在x、y与z轴上的加速状况,可以分别通过其x、y与z属性进行访问,单位必须是m/s2。 accelerationIncludingGravity与acceleration属性所取的数值相同,但会加上一个加速度相等方向相反的反重力加速度。 ; y = acceleration.y; z = acceleration.z; var accelerationDiff = Math.abs