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Running webui user batch file for stable diffusion always gives me the error message,
"OutOfMemoryError: CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 2.00 GiB total capacity; 1.41 GiB already allocated; 19.18 MiB free; 1.47 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF"
This happens seemingly after everything has installed, so it takes quite a while to reach this point
Is this an issue I can fix or is the message trying to tell me that my PC spec isn't good enough. I'm new to this so I couldn't find any other "OutOfMemory" errors and i'm not sure how i can fix this.
This happens seemingly after everything has installed, so it takes quite a while to reach this point
Is this an issue I can fix or is the message trying to tell me that my PC spec isn't good enough. I'm new to this so I couldn't find any other "OutOfMemory" errors and i'm not sure how i can fix this.
GeForce GT 710
8GB Installed RAM
Intel(R) Core(TM) i7-2600 CPU # 3.40GHz 3.40 GHz
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I ran software updater last night, and it indicated that it completed normally and asked me to reboot. I assume that is was updating the kernel from 5.15.0-58-generic to 5.15.0-60-generic. On reboot, I received a bunch of messages ending with "kernel panic: No working init found." Using the advanced boot options, I found that .58 version was available. It indicated major disk problems and said to run fsck, which I did. I pressed "y" about a hundred times, and then .58 booted normally while .60 still produces a kernel panic. I then saved all my personal files. Right now, .58 seems to be running normally, and Software Updater runs with no problems.
I want to avoid reloading the OS, as I have custom WiFi and printer software that requires extra effort, as well as Virtual Box. And yes, the have been running happily through many updates. What are my options?
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I am currently developing a solution in R and I need to know the system requirements for R on a windows machine for documentation purposes.
It's a question beyond "would R run in my machine", since I need to know the exact specifics. I know for a fact that it already runs without any problem, but I need to document this requirements for the Administrator in the IT team.
Thank you so much for your collaboration!
From An Introduction to R (https://cran.r-project.org/doc/manuals/r-release/R-intro.html)
--max-mem-size=N
(Windows only) Specify a limit for the amount of memory to be used both for R objects and working areas. This is set by default to the smaller of the amount of physical RAM in the machine and for 32-bit R, 1.5Gb26, and must be between 32Mb and the maximum allowed on that version of Windows.
Note, this is specific to Windows machines. I haven't seen anything regarding other operating systems. I've never seen anything about processors or other hardware either.
as far as I can tell, if you have a computer with a processor and at least 32 Mb or RAM, it will run R (no guarantees on how well).
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Closed 9 years ago.
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I was wondering if there can be any graphic card in a unix server (basically cluster). I am interested in using GPU power for quick statistical computation using R. I tried to intall "rpud", it said "cannot find nvcc, check CUDA install"
Wikipedia's CUDA article has some good general information and sample code in C and Python.
You need a compatible GPU and you need to install the tools from NVIDIA.
These tools are called CUDA Development tools. nvcc is a C compiler for the GPU.
So, it can not find your CUDA Toolkit, perhaps because you did not yet install it or there are some file path settings that are incorrect.
NVIDIA CUDA Getting Started For Linux
NVIDIA CUDA Getting Started for Windows
There are server-grade GPU cards.
Help picking a card:
What are the differences between CUDA compute capabilities?
Exercise caution when using older cards due to accuracy issues:
Accuracy of GPU for scientific computing
There are R packages for this. Notably, gpu-tools.
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Is Oracle Business Intelligence, v. 11.1.1.5.0 free to install? What are the system requirements for installing?
In the most recent price list, Oracle Business Intelligence Enterprise Edition Plus is $2000 per Named User or $300,000 per Processor at retail (though most people don't pay retail). If your intended use falls under the terms of the OTN license, you should be able to download the software from the Oracle Technology Network and install it. But you'd have to determine whether the OTN license's terms were sufficient for you or whether you needed a proper license.
As for the system requirements, you'll want to review the documentation on the installation scenarios because it will depend on how many machines you are using and where all the components are being installed. If you are asking about installing the entire stack on a single machine, it had better be a very powerful machine. I couldn't imagine installing on a box with less than 4 GB of RAM and I'd want at least 8 GB before even thinking about it.
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I was trying to find a UNIX/Linux command to limit memory and CPU usage once I realize that a process is consuming 90% or more. So basically a command to reduce usage on a process that is already running without restarting the process. Thank you.
nice (built-in)
or
cpulimit http://cpulimit.sourceforge.net/
/usr/bin/ulimit or the shell builtin ulimit can be used when you launch the process to set resource limits. Not after the process is running. The nice command is run as the process owner BEFORE you run the image file. Not after
renice is the command used after the process has already started.
I don't know how to set a hard limit on CPU usage. But you can force a process to be nicer to other processes with the renice command
renice -n 10 -p PID
where PID is the process id of the process whose priority you want to reduce.
What this does is tell the OS scheduler to reduce the process's priority, i.e. other processes that want to run get more of the CPU. man 1 renice has the details.