How to run Python (Pytorch) Code in MATLAB

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Hello, I hope you are doing well. I have the following Python(pytorch) code which is running in an Anaconda environment. I want it to run it on MATLAB
I have tried the following but it does not work Can any one help me with that.?
pyenv("Version","C:\Users\DELL\anaconda3\envs\myenv\python.exe")
ans =
PythonEnvironment with properties:
Version: "3.8"
Executable: "C:\Users\DELL\anaconda3\envs\myenv\python.exe"
Library: "C:\Users\DELL\anaconda3\envs\myenv\python38.dll"
Home: "C:\Users\DELL\anaconda3\envs\myenv"
Status: NotLoaded
ExecutionMode: InProcess
Here is the following code (PythonScript.py)
import torch
import numpy as np
import matplotlib.pyplot as plt
print('Check GPU Availble=',torch.cuda.is_available())
print('How many GPU Availble=',torch.cuda.device_count())
print('Index of Current GPU=',torch.cuda.current_device())
print('Name of the Current GPU Used=',torch.cuda.get_device_name(0))
array = np.loadtxt('Dataset1.csv', delimiter=',')
twofeatures = array[:, [1, 3]]
#print(twofeatures)
torchfeatures = torch.from_numpy(twofeatures)
gpufeature = torchfeatures.cuda()
gpufeature = gpufeature.to(torch.float)
from fast_pytorch_kmeans import KMeans
kmeans = KMeans(n_clusters=30, mode='euclidean', verbose=1)
labels = kmeans.fit_predict(gpufeature)
#print(labels)
index = labels.cpu().data.numpy()
#print(index)
plt.scatter(array[:, [0]], array[:, [1]], c=index, s=10, cmap="jet")
plt.show()
pyrun(PythonScript.py);
Getting the following error
Error using __init__><module>
Python Error: OSError: [WinError 127] The specified procedure could not be found. Error
loading "C:\Users\DELL\anaconda3\envs\myenv\lib\site-packages\torch\lib\shm.dll" or one of
its dependencies.
Error in <string>><module> (line 1)
Can anybody help me with that

回答(1 个)

Sivylla Paraskevopoulou
Can you try the following command to run your Python file?
pyrunfile("PythonScript.py")
  1 个评论
Narayan
Narayan 2024-6-30
编辑:Narayan 2024-6-30
I have used the same command to run the python file to call the pytorch model. But it was very slow during iteratively calling the pyrunfile(" PythonScript.py") command during simulations. Is there any better way in matlab ?

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