pipeline

问题 In ARM architecture, if an ARM to Thumb mode switch occurs, will a pipeline stall occur? If so, how many cycles are affected? Is this same for Thumb to ARM mode switching ? Does this behavior vary with different ARM processors ? 回答1: Assuming you switch in the sensible way (with BLX / BX LR ), any modern core will predict that (assuming the branch predictor isn't turned off, of course). Writing to the PC directly is a little more variable - generally, big cores might predict it but little

问题 I need help. I have two tables. In the instruction table., each row must be highlighted according to what instruction is being execute in the pipeline stages. Say for example., at time t10, I5 is in IS stage, so I5 in instruction table must be highlighted or the color of the row in instruction table must be change.say, I5 row is color red, I6 row is color pink, I7 is color green, I8 is color gray, I9 is color orange. I really need your expertise., thank you.. :) 回答1: Please try this using

问题 i have a problem with my CI Implementation... I have a Jenkins Server installed and made a Build Pipeline. (Its from this tutorial: https://getintodevops.com/blog/building-your-first-docker-image-with-jenkins-2-guide-for-developers) Here is a part of my Jenkinsfile: stage('Build image') { app = docker.build("username/tag") } So when i run, i get the following error: Touch Version 5.0 Copyright (c) 1995-2010 Embarcadero Technologies, Inc. + docker build -t username/tag . Touch Version 5.0

问题 I understand that there are advantages (especially as I expand the scope of the models I build and the size of the datasets they work on) to using TensorFlow's new Dataset as the idiom for my data feeding pipeline. However I'm having trouble mapping my existing feed_dict based code to this new model. One problem I face is that I can't sort out how batching and epochs interact, or how these interleave with the logging and validation that I often do. For example, how does something like the

问题 Suppose I have the following PowerShell script: Get-WmiObject -Class Win32_Service | Select DisplayName,@{Name="PID";Expression={$_.ProcessID}} | Get-Process | Select Name,CPU This will: Line 1: Get all services on the local machine Line 2: Create a new object with the DisplayName and PID. Line 3: Call Get-Process for information about each of the services. Line 4: Create a new object with the Process Name and CPU usage. However, in Line 4 I want to also have the DisplayName that I obtained

问题 I'm wondering how the concurrency in a web application actually works. Ive read several articles and to my understanding multiple instances of HttpApplication would be working at the same time. Now, I created a simple web app to test concurrency and put the following to global.asax: protected void Application_BeginRequest(object sender, EventArgs e) { Response.Write("Request started: " + DateTime.Now); System.Threading.Thread.Sleep(10000); Response.Write("<br />"); Response.Write("Request

问题 Not sure how to fix . Any help much appreciate. I saw thi Vectorization: Not a valid collection but not sure if i understood this train = df1.iloc[:,[4,6]] target =df1.iloc[:,[0]] def train(classifier, X, y): X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=33) classifier.fit(X_train, y_train) print ("Accuracy: %s" % classifier.score(X_test, y_test)) return classifier trial1 = Pipeline([ ('vectorizer', TfidfVectorizer()), ('classifier', MultinomialNB()),

问题 I have lot's of data to insert (SET \ INCR) to redis DB, so I'm looking for pipeline \ mass insertion through node.js . I couldn't find any good example/ API for doing so in node.js, so any help would be great! 回答1: Yes, I must agree that there is lack of examples for that but I managed to create the stream on which I sent several insert commands in batch. You should install module for redis stream: npm install redis-stream And this is how you use the stream: var redis = require('redis-stream

问题 I have lot's of data to insert (SET \ INCR) to redis DB, so I'm looking for pipeline \ mass insertion through node.js . I couldn't find any good example/ API for doing so in node.js, so any help would be great! 回答1: Yes, I must agree that there is lack of examples for that but I managed to create the stream on which I sent several insert commands in batch. You should install module for redis stream: npm install redis-stream And this is how you use the stream: var redis = require('redis-stream

问题 After identifying the best parameters using a pipeline and GridSearchCV , how do I pickle / joblib this process to re-use later? I see how to do this when it's a single classifier... from sklearn.externals import joblib joblib.dump(clf, 'filename.pkl') But how do I save this overall pipeline with the best parameters after performing and completing a gridsearch ? I tried: joblib.dump(grid, 'output.pkl') - But that dumped every gridsearch attempt (many files) joblib.dump(pipeline, 'output.pkl')