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How to set the BIOS password for Lenovo SMB notebooks

status and the User Password status are displayed as set, and the following two items become "Change Master Password" and "changed user Password", Can be used to modify the password. When you change your password, you need to enter your old password and enter your new password. Similar to the BIOS password, the password is cleared when the new password is empty. Second, the new model such as: V4400,V4400U,V4400U touch,b40-30,b40-45,b40-70,b40-70 Touch, b4320,b4321,b4322,b4323,b4330,b440

Electromechanical Drive control second week study notes

some energy. In my extracurricular search, I am very attracted to the now very famous Tesla Tesla: Tesla is committed to using the most innovative technology to accelerate the development of sustainable transport. Tesla has technically provided an efficient way to achieve sustainable energy supply, reducing global tra

Caffe + Ubuntu 15.04 + CUDA 7.5 Novice Installation Configuration Guide

difference will be greater, UBUNTU+GPU is the only choice.Test Platform 1:I7-4770K/16G/GTX 770/cuda 6.5MNIST Windows8.1 on cpu:620sMNIST Windows8.1 on gpu:190sMNIST Ubuntu 14.04 on cpu:270sMNIST Ubuntu 14.04 on gpu:160sMNIST Ubuntu 14.04 on GPUs with cudnn:30sCifar10_full on GPU wihtout cudnn:73m45s = 4428s (iteration 70000)Cifar10_full on GPU with cudnn:20m7s = 1207s (iteration 70000)Test Platform 2: Gigabyte p35x v3,[email protected]/16g/nvidia GTX 980 8GMNIST Ubuntu 15.04 on GPUs with cudnn:

Ubuntu14.10+cuda7.0+caffe Configuration

installation are complete, and the following is a simple set of data controls. The experiment originates from the mnist data set, which mainly investigates the performance of CPU and GPU under different systems. Can see the obvious difference. Although the mnist datasets are very easy to believe, the difference is greater and UBUNTU+GPU is the only choice for complex datasets.Test Platform 1 : I7-4770K/16G/GTX 770/cuda 6.5MNIST Windows8.1 on CPU : 620sMNIST Windows8.1 on GPU : 190sMNIST Ubuntu

Solar and solar system planetary data

established the general theory of relativity. The equator radius of mercury is about 2440 km, which is 38.3% of the earth's size. The mass is 5.6% × 3.33 grams, which is also 1026 of the earth's size. The average density is 5.6% grams/cm. 3, second only to the earth, the acceleration of surface gravity is 373 cm/second 2. The inversion rate is 0.06, and the color index is + 0.91, which is slightly smaller than that of the moon. The surface of mercury is very similar to the moon, with many diffe

Ubuntu14.10+cuda7.0+caffe Configuration

mnist data set, mainly to examine the performance of the CPU and GPU under different systems. Can see the obvious difference, although the Mnist dataset is very simple, believe that the complex data set, the difference will be greater, UBUNTU+GPU is the only choice.Test Platform 1:I7-4770K/16G/GTX 770/cuda 6.5MNIST Windows8.1 on cpu:620sMNIST Windows8.1 on gpu:190sMNIST Ubuntu 14.04 on cpu:270sMNIST Ubuntu 14.04 on gpu:160sMNIST Ubuntu 14.04 on Gpuwith cudnn:30sCifar10_full on Gpuwihtout cudnn:

Ubuntu14.10+cuda7.0+caffe Configuration

the performance of the CPU and GPU under different systems. Can see the obvious difference, although the Mnist dataset is very simple, believe that the complex data set, the difference will be greater, UBUNTU+GPU is the only choice.Test Platform 1 : I7-4770K/16G/GTX 770/cuda 6.5MNIST Windows8.1 on CPU : 620sMNIST Windows8.1 on GPU : 190sMNIST Ubuntu 14.04 on CPU : 270sMNIST Ubuntu 14.04 on GPU : 160sMNIST Ubuntu 14.04 on Gpuwith CuDNN : 101cifar10_full on Gpuwihtout CuDNN : 73m45s = 4428s ( Ite

Python Learning Notes (11) inheriting __python

= My_car.read_odometer () my_car.updata_odometer (My_car.read_) Odometer () My_car.increment_odometer () My_car.read_odometer () class Electriccar (CAR): "", DocString for Electriccar "" Def __init__ (self, make, model, year): ' Initialize the properties of the parent class ' super (Electriccar, self). __init__ (make, model, year) #self . arg = arg My_tesla = Electriccar (' Tesla ', ' Model S ', 2016) print (My_tesla.get_name ())Result :2016

A question and answer: Stored procedure classic problem

Stored Procedures | issues Only one table is involved: Xkb_treenode The table structure is like this: node_id int//Node ID parentnode_id int//parent Node ID Node_text varchar//node content IsModule bit//whether leaf node The data that is now saved is: node_id parentnode_id Node_text IsModule 1-1 Languages and Literature 0 2-1 Mathematics 0 3-1 Technology 0 4 1 Languages 0 5 1 Foreign Languages 0 6 5 English 0 7 6 Junior English 0 8 7 Tesla Tower 1

python-study-06

shopping cart, the requirements are as follows:To print the product details, the user enters the product name and the number of purchases,The product name, price, purchase number added to the shopping list, if the input is empty or other illegal input requires the user to re-enterMsg_dic={'Apple': 10,'Tesla': 100000,'mac': 3000,'Lenovo': 30000,'Chicken': 10,}shopping_cart=[] whileTrue: forKinchMsg_dic:info='Product Name:%s Price:%s'%(k, msg_dic[k])Pr

CSS Universal Atomic Class

;}. w30 {width:30px;}. w40 {width:40px;}. w50 {width:50px;}. w60 {width:60px;}. w70 {width:70px;}. w80 {width:80px;}. w90 {width:90px;}. w100 {width:100px;}. w150 {width:150px;}. w200 {width:200px;}. w250 {width:250px;}. w300 {width:300px;}. w350 {width:350px;}. w400 {width:400px;}. w450 {width:450px;}. w500 {width:500px;}. w550 {width:550px;}. w600 {width:600px;}. w650 {width:650px;}. w700 {width:700px;}. w750 {width:750px;}. w800 {width:800px;}. w850 {width:850px;}. w900 {width:900px;}. w950 {

Five times of router technology development

the main control board, and parallel high-speed processing is achieved, which improves the processing performance of the router technology exponentially. Fourth-generation router technology: ASIC distributed forwarding and network switching Typical product: Juniper M40/160 series. In the middle and late 1990s s, with the commercialization of IP networks and the emergence of Web technology, Internet technology has been unprecedentedly developed, and I

Apt-get Install autoconf

~# Apt-get Install autoconfReading Package Lists ... DoneBuilding Dependency TreeReading state information ... DoneThe following packages were automatically installed and is no longer required:LIBOPTS25 Libuuid-perl Linux-baseUse the ' Apt-get autoremove ' to remove them.The following extra packages'll be installed:M4Suggested Packages:autoconf2.13 autoconf-archive gnu-standards Autoconf-doc libtoolRecommended Packages:Automake AutomakenThe following NEW packages'll be installed:Autoconf

[PLC] St Language Five: STL/RET/CMP/ZCP

One: STL/RET/CMP/ZCPDescription: Simple Shun control instructions do not do other instructions.Control requirements : NoneProgramming Ladder diagram:Structured Programming ST Language:(* Step instruction STL (EN,S); *) SET (M8002,S3); STL (TRUE,S3) m419:=true;out_t (TRUE,TC0,K10); SET (TS0,S20); STL (TRUE,S20); m420:=true;out_t (TRUE,TC1,K15); s3:=ts1; (* Step instruction ret (EN); *) ret (TRUE);(* Compare instruction CMP (EN,S1,S2,D); *) CMP (M37,K100,D51,M38); M421:=m37 and M38; M422:=m37 and

CUDA, cudagpu

blockint *idata = g_idata + blockIdx.x*blockDim.x;int *odata = g_odata[blockIdx.x];// stop conditionif (isize == 2 tid == 0) {g_odata[blockIdx.x] = idata[0]+idata[1];return;}// nested invocationint istride = isize>>1;if(istride > 1 tid Compile and run. The following result is run on the Kepler K40: $ nvcc -arch=sm_35 -rdc=true nestedReduce.cu -o nestedReduce -lcudadevrt./nestedReduce starting reduction at device 0: Tesla K40carray 1048576 grid 204

GPU coarse-grained parallel implementation and testing for convolution operations

GPU coarse-grained parallel implementation and testing for convolution operationsFirst, the basic idea of the algorithm:1. A thread in the GPU produces a convolution result, and how many blocks are used for the number of results;2. Matrix and convolution cores are stored in shared memory, and the convolution results are stored in global memory;3, support 10000 in any dimension of the two-dimensional matrix, convolution core support 16x16.4, support any number of images batch processing.Second, t

Passionate About contribution and confidence in return

whether my efforts are made to contribute, or to return, whether they can be sustained, and the key to doing one thing well. When you are passionate about your contribution, you must have confidence in your return. What is equally important to the passion for contribution is the confidence in return, rather than ignoring it. Successful enterprises and individuals in history have not only made great contributions, but also made huge compensation accordingly, as well as film stars. Not everyone w

Android Tri-axis acceleration sensor "turn"

negative x-axis.Tilt the phone upward and the y-axis is negative.Tilt the phone downward and the y-axis is positive.The accelerometer is probably the most sophisticated MEMS product, with a wide range of accelerometer sensors on the market.The commonly used accelerometer in mobile phones is Bosch's BMA series, AMK 897X series, St's LIS3X series, etc.These sensors typically provide an acceleration measurement range from ±2g to ±16g with an I²C or SPI interface connected to the MCU with a data ac

Understanding of Spring Spel expressions

(Java.lang.Math). Random () * 100.0}"/> Other Properties -Bean>BeanID= "Shapeguess"class= "Org.spring.samples.ShapeGuess"> Propertyname= "Initialshapeseed"value= "#{numberguess.randomnumber}"/> Other Properties -Bean>ExpressionParser parser = new Spelexpressionparser (); inventor Tesla = new inventor ("Nikola Tesla", "Serbian"); Tesla.setplaceofbirth (New Placeofbirth ("Smiljan")); Standardevaluationco

On the design of code structure

{ @Override public voidlogo () {system.out.print ("Mercedes"); }}classteslaextendscar{ @Override publicvoidlogo () { system.out.print ("Tesla"); }} Everything seems to be a perfect solution. Suddenly added a demand for a charge (change) requirement, when only Tesla had a charging method. However, if you use inheritance, adding the change method to the parent class requires the implementation of a useless m

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