multithreading

问题 I am trying to understand, then, write some code that has to read from, and write to many different files and do so from the main loop of my application. I am hoping to use the C++11 model present in VS 2013. I don't want to stall the main loop so I am investigating spinning off a thread each time a request to write or read a file is generated. I've tried many things including using the async keyword which sounds promising. I boiled down some code to a simple example: #include <future>

问题 I am trying to use TensorRt using the python API. I am trying to use it in multiple threads where the Cuda context is used with all the threads (everything works fine in a single thread). I am using docker with tensorrt:20.06-py3 image, and an onnx model, and Nvidia 1070 GPU. The multiple thread approach should be allowed, as mentioned here TensorRT Best Practices. I created the context in the main thread: cuda.init() device = cuda.Device(0) ctx = device.make_context() I tried two methods,

问题 How to switch between threads of a suspended program? or Any tutorial on multi-threaded debugging with Intellij Idea describing basic features - suspend, resume, switch between threads. very good tutorials/step-by-step guide available for Netbeans: e.g. https://netbeans.org/kb/docs/java/debug-multithreaded.html 回答1: Trick is to set breakpoint suspend policy to - Thread. View breakpoint properties (right-click on breakpoint) Once done threads will hit breakpoint and block, now active thread

问题 First of all I'd like to say sorry in case you consider my question dummy, I'm new to iOS and multithreading and just want to understand how things are going on. As far as I know didEnterBackground is the last function that iOS calls before app suspension and the app has about 5 secs to return from it otherwise iOS will kill the app. I'm currently thinking about such a situation - I have some task that is happening on the background thread(e.g. network download) and its completion block

问题 I am building a Blazor application with a REST API and Web interface. I will also have a monitoring part of the application that will poll data each second from a lot of different data sources. I have created a long running thread in a separate class that simply polls the data I want and it seems to be working fine. The application template I am using is a Blazor ASP.NET Server application. Simply like this: m_pollThread = new Thread(new ThreadStart(PollThread)) { IsBackground = true }; m

问题 I'm new to using Blocking Collection and threading and want to make sure I'm following best practice. I'm using a third party API that is not thread safe. I will be making multiple simultaneous requests to the API, so I need to add these requests to a queue and process them one after another. To do this I have a blocking collection: BlockingCollection<myEventArgs> myTasks = new BlockingCollection<myEventArgs>(); private void myEventHandler(object sender, myEventArgs e) { myTasks.Add(e); }

问题 I am populating a treeview in Kivy that takes some time depending on how large it is. In the case the tree is large and takes awhile, I would like to display a popup while it is populating so the user is aware the program has not frozen, and close this popup when the logic for populating the tree finishes. Here is what I have come up with through some research on the topic, but the popup still seems to only come once the tree is finished populating: def show(self, *args): self.error_popup

问题 I'm working with huge sattelite data that i'm splitting into small tiles to feed a deep learning model. I'm using pytorch, which means the data loader can work with multiple thread. [settings : python, Ubuntu 18.04] I can't find any answer of which is the best in term of data accessing and storage between : registering all the data in one huge HDF5 file (over 20Go) splitting it into multiple (over 16 000) small HDF5 files (approx 1.4Mo). Is there any problem of multiple access of one file by

问题 I need to pause and resume thread, which continuously executes some task. Execution begins when start() is called, it should not be interrupted and must continue from the point when pause() is called. How can I do this? 回答1: Please remember that using threads in Pythin will not grant you a parallel processing, except for the case of IO blocking operations. For more information on this, take a look at this and this You cannot pause a Thread arbitrarily in Python (please keep that in mind

问题 In threading, we have something called "Thread Context", in which we can save some data (state) for accessing in a special thread. In asyncio, I need to save some state in current execution path, so that all consequent coroutines can access it. What is the solution? Note: I know each coroutine function is instantiated for an execution path in asyncio, but for some reason I can not save the state in function properties. (Although this method os not very good anyway) 回答1: As of Python 3.7 you