I'm trying to make a GPU usage monitor, but I have an AMD GPU, so I had to use the pyadl library instead of some better for NVIDIA.
this is my code:
from pyadl import *
device = ADLManager.getInstance().getDevices()[0]
print(device.getCurrentUsage())
and this is the error:
Traceback (most recent call last):
File "c:\Users\MSI_user\Documents\dev\Arduino\projects\pyArduino\passData-9.py", line 3, in <module>
print(device.getCurrentUsage())
File "C:\Users\MSI_user\Documents\dev\Arduino\projects\pyArduino\pyArd\lib\site-packages\pyadl\pyadl.py", line 293, in getCurrentUsage
return ADLManager.getInstance().getCurrentUsage(self)
File "C:\Users\MSI_user\Documents\dev\Arduino\projects\pyArduino\pyArd\lib\site-packages\pyadl\pyadl.py", line 182, in getCurrentUsage
raise ADLError("Failed to get CurrentUsage")
pyadl.pyadl.ADLError: Failed to get CurrentUsage
I have researched quite a bit, but I don't have any idea how to fix it. Here is also the github link for the python lib - pyadl
Maybe this lib is too old, but I haven't found any better for AMD GPUs. If you know any, please recommend.
Please help :D
Related
I am working a somewhat extensive python program that uses multiprocessing. Because I wanted the user to see some progress on the console when running the program, I read about using a shared counter on stackoverflow and after a while of playing around with my code, I got it to work. As I said it's too much code to post here, but the gist is that I instantiate a multiprocessing array after the name==main line,
if __name__ == "__main__":
total_progress_counter = Array('i',[0,0])
and then during the main portion of code I pass this array to a function in other module:
some_name.plot(<other variables>,
total_progress_counter=total_progress_counter)
Then within that other function, I used the .get_lock method that I found described here on stackoverflow:
with total_progress_counter.get_lock():
total_progress_counter[0] += self.total_panels_to_plot
I also update the other component, total_progress_counter[1], in the same function. This works fine for me on my work machine, where I wrote the code, and that machine has a Centos operating system.
But, when I run it on my personal MacBook it gives the following traceback:
Traceback (most recent call last):
File "./program.py", line 775, in <module>
program.run()
File "./program.py", line 177, in run
cases_plotted = pool.map(self.__plot__, all_cases)
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 771, in get
raise self._value
AttributeError: 'list' object has no attribute 'get_lock'
I have python3 version 3.8.3 on my personal machine and python3 version 3.7.4 on my work machine. Can anyone help me understand why I'm getting different behavior on these two environments? I'd be grateful, as this is meant to be software others might use on different machines.
the version of python is 3.6
I tried to execute my code but, there are still some errors as below:
Traceback (most recent call last):
File
"C:\Users\tmdgu\Desktop\NLP-master1\NLP-master\Ontology_Construction.py",
line 55, in
, binary=True)
File "E:\Program
Files\Python\Python35-32\lib\site-packages\gensim\models\word2vec.py",
line 1282, in load_word2vec_format
raise DeprecationWarning("Deprecated. Use gensim.models.KeyedVectors.load_word2vec_format instead.")
DeprecationWarning: Deprecated. Use
gensim.models.KeyedVectors.load_word2vec_format instead.
how to fix the code? or is the path to data wrong?
This is just a warning, not a fatal error. Your code likely still works.
"Deprecation" means a function's use has been marked by the authors as no longer encouraged.
The function typically still works, but may not for much longer – becoming unreliable or unavailable in some future library release. Often, there's a newer, more-preferred way to do the same thing, so you don't trigger the warning message.
Your warning message points you at the now-preferred way to load word-vectors of that format: use KeyedVectors.load_word2vec_format() instead.
Did you try using that, instead of whatever line of code (not shown in your question) that you were trying before seeing the warning?
I am trying to use skcuda in my python code but whenever i want to use it, it rises the following exception:
Traceback (most recent call last):
File "/home/rohola/Projects/Python/wordnetwork/s.py", line 6, in <module>
from skcuda import cusolver
File "/home/rohola/anaconda3/lib/python3.4/site- packages/skcuda/cusolver.py", line 51, in <module>
raise OSError('cusolver library not found')
OSError: cusolver library not found
i was just tried to use skcuda
from skcuda import cusolver
handle = cusolver.cusolverDnCreate()
i installed pycuda, NVIDIA CUDA Toolkit. What's wrong about my code or dependencies?
import ctypes
a = ctypes.cdll.LoadLibrary( "/usr/local/cuda-8.0/targets/x86_64-linux/lib/libcusolver.so" )
gets me
OSError: /usr/local/cuda-8.0/targets/x86_64-linux/lib/libcusolver.so: undefined symbol: GOMP_critical_end
which seems to be a yet unsolved issue according to this github thread
Though, a 7.5 version which
/usr/lib/x86_64-linux-gnu/libcusolver.so
seems to point to works well. And author's fix seems to work with it.
I finally found a solution to my problem. Firstly, i searched for libcusolver.so with
locate libcusolver.so
and then changed the following code in cusolver.py from:
_libcusolver = ctypes.cdll.LoadLibrary(_libcusolver_libname)
to:
_libcusolver = ctypes.cdll.LoadLibrary("/usr/local/cuda-7.5/targets/x86_64-linux/lib/"+_libcusolver_libname)
now the following code:
from skcuda import cusolver
handle = cusolver.cusolverDnCreate()
works without any error.
UPDATE:
If you have installed cuda8.0 or 9.0 the best way to solve the problem is to find this line in cusolver.py:
_libcusolver = ctypes.cdll.LoadLibrary(_libcusolver_libname)
and add this line before it:
ctypes.CDLL('libgomp.so.1', mode=ctypes.RTLD_GLOBAL)
You have to make sure that you already installed libgomp.
Basically, I want to read the CPU temperature with Python. Please explain in layman's terms as I have never done this on Windows before nor have I had to work with wmi.
This is what I have at the moment:
import wmi
w = wmi.WMI(namespace="root\wmi")
temperature_info = w.MSAcpi_ThermalZoneTemperature()[0]
print temperature_info.CurrentTemperature
(I got this code from this thread: Accessing CPU temperature in python)
However, on running the script, I get this error:
Traceback (most recent call last):
File "C:\Users\Ryan\Desktop\SerialSystemMonitor", line 4, in <module>
temperature_info = w.MSAcpi_ThermalZoneTemperature()[0]
File "C:\Python27\lib\site-packages\wmi.py", line 819, in query
handle_com_error ()
File "C:\Python27\lib\site-packages\wmi.py", line 241, in handle_com_error
raise klass (com_error=err)
x_wmi: <x_wmi: Unexpected COM Error (-2147217396, 'OLE error 0x8004100c', None, None)>
What can I do to get this to work?
According to the MSDN page on WMI Error Constants, the error you have received is:
WBEM_E_NOT_SUPPORTED
2147749900 (0x8004100C)
Feature or operation is not supported.
Presumably, then, your CPU does not provide temperature information through WMI. If your CPU doesn't expose this information, you're probably out of luck, at least as far as a straightforward solution in Python goes.
I assume you've tried the other option given in the answer you linked, using Win32_TemperatureProbe(); if you haven't, try it.
Just execute as Admin. It's work for me.
I've been trying to build pHash(http://phash.org/) on my windows machine and haven't been having any luck. I'm new to programming desktop applications. I will be using the pHash library with Python through ctypes. Could someone post the steps involved with building pHash?
What I tried, was opening pHash.sln with Visual Studio 2008 and chooing the Release(as opposed to debug) and building pHash. I wasn't sure where it was building to as I couldn't find the file. I tried looking in Visual Studio's projects folder but it wasn't there so I assumed it was building to pHash/release/pHash.dll, but when I load that dll with ctypes.cdll none of the functions listed in the pHash docs(http://phash.org/docs/howto.html) seem to be accessible, e.g. ph_dct_imagehash(), ph_dct_videohash.
Here is an example of my code:
import ctypes
import inspect
PHASHPATH = "C:\Users\me\Downloads\phash\release\pHash.dll"
phash_dll = ctypes.CDLL(PHASHPATH)
phash_dll['ph_dct_imagehash']
The response I get is:
Traceback (most recent call last):
File "C:\Users\me\workspace\project\src\opencv.py", line 12, in <module>
phash_dll['ph_dct_imagehash']
File "C:\Program Files (x86)\Python27\lib\ctypes\__init__.py", line 371, in __getitem__
func = self._FuncPtr((name_or_ordinal, self))
AttributeError: function 'ph_dct_imagehash' not found
I'm new at this, so please bear with me. Thanks.
EDIT:
I'm running Python 2.7.
Except for some dirent functions, no pHash functions are exported from pHash.dll. That can be verified with DependencyWalker http://www.dependencywalker.com/. Try adding __declspec(dllexport) in front of the function declarations in pHash.h (e.g. for ph_dct_imagehash) and recompile.