I noticed that under ubuntu ipython starts really quickly, almost as fast as python itself.
While under Windows or Mac, it starts really slow. Is there a way to make it better?
Related
Longshot, but anyone had this issue?
I have code running (or not) which is set to run on the GPU. It fails to run unless I bump the GPU to make it run a little bit, for example by watching YouTube or playing a game.
I believe there may be some computer resource/application prioritisation/limitation configurations causing vscode to stop running, and wondered if anyone else had run into this issue.
I am running the code in a .ipynb notebook file in vscode (not sure if that might contribute to the issue). Sometimes the code will just freeze permanently, and I usually go about restarting the code to get things going properly.
The code should normally takes about 7 seconds for the training epoch, and 0.7 seconds for the validation epoch. But I was away for the first epoch and found it hadn't started, and so I opened up Youtube and it began.
Code timings
I can't think of what settings to change for this, but have tried a few
Power options
Anyone had a similar issue before? My second theory is that I think perhaps I am using too much GPU ram in my python code which is slowing it down and effectively made it freeze. And then when I load another application to use the GPU it forces the GPU ram to reconfigure and somehow this RAM reconfiguring might be unblocking the GPU allowing it to run again.
I am very new to Julia and am not a computer geek so this question may not be very clear. I am happy to add any information as necessary.
I am running Julia on VSCode in Windows. I recently added some memory sticks (128G to 256G) to the PC and found out that Julia was significantly slower. I tried several things including moving the positions of the memory sticks, reinstalling Julia and VSCode, disabling hyperthreading. (in this order). Nothing worked.
I then decided to install Windows Server on my computer, hoping that Julia would behave normally under the new system. It was still slow.
Could anyone give me some suggestions on what to do? Thanks!
I have some issues when using the Ipython interpreter in Windows (I use Anaconda). After a few minutes (and expecially after plotting graphs), the interpreter turns extremely slow (it writes about 1 letter/second, even when I paste the commands).
Moreover, the keyboard interruption sometimes sends me directly to the Windows interpreter (instaed of just interrupting the current task).
However, the processing time doesn't seem to be longer than usual, and I just have to quit Ipython and restart it (wothout closing the terminal) for the interpreter to work properly again. But, still, it comes back every time !
Do you know how I can fix this ?
I'm having a very strange problem. I'm using dfs-datastores Pail abstraction to write data to HDFS in Java. I don't think the Pail piece is important to the problem though.
When it calls org.apache.hadoop.fs.FileSystem getFS(java.lang.String path) with a path on my local filesystem it pauses for about 2 minutes seemingly doing nothing then returns. This is on my laptop.
The weird thing is that it worked really fast when I was on the network at my office today, but now that I'm home it's doing it again. I'm running Ubuntu 10.10 64-bit with Java 1.7.
Anyone have any ideas what it's doing? What could be different between being at work and being at home?
UPDATE:
I've been stepping through code with the debugger and it seems to be having trouble in Configuration.loadResource(). It's calling that multiple times and it will take 5-10 seconds to return from that function.
UPDATE2:
I've narrowed this down a little further. The biggest hang up seems to be when it calls KerberosName.setConfiguration(). Which would explain why it runs fast at work since the Active Directory acts as a Kerberos server. I don't have one here at home, so it can't find one. Now they question is why in the world it's trying to load the Java Kerberos stuff.
I found a solution (or at least a work around). I installed the krb5-kdc package and now my little program runs fast without any unexplained pauses. After this I removed krb5-kdc, tested and it was still running fast. I removed /etc/krb5.conf and it started doing the pause again. It looks like using the Hadoop library on Ubuntu (at least) requires a /etc/krb5.conf file.
Maybe this will help someone else.
I have a Python program that is mostly complete, and there is one thing that I'd like to change, which may or may not be possible.
This program uses PyQT to display a GUI and I have it pretty much pinned up so I was wondering if I can make Python not open up a termianl when I open the program.
I am using Windows XP right now, but the machines it will run on will be Windows 7. I generally work with Linux, so I'm not terribly familiar with Windows.
If the terminal has to be there, it's no big deal, but I feel like it's extraneous at this point.
Thanks!
Use the python extension .pyw.
E.g program.pyw
This causes your program to be run with pythonw.exe instead of python.exe which suppresses the terminal.