Efficient training of PyTorch models on CentOS systems requires steps, and this article will provide detailed guides.
1. Environmental preparation:
Python and dependencies installation: CentOS systems usually preinstall Python, but the version may be older. It is recommended to use
yumordnfto install Python 3 and upgradepip:sudo yum update python3(orsudo dnf update python3),pip3 install --upgrade pip.CUDA and cuDNN (GPU acceleration): If you use NVIDIA GPU, you need to install the CUDA Toolkit and cuDNN library. Please visit NVIDIA's official website to download the corresponding version of the installation package and strictly follow the official guidelines to install it.
Virtual environment creation (recommended): It is recommended to use
venvorcondato create a virtual environment to isolate project dependencies and avoid version conflicts. For example, usevenv:python3 -m venv myenv,source myenv/bin/activate.
2. PyTorch installation:
Visit the PyTorch official website and select the appropriate installation command based on the system configuration (CPU or CUDA version). For example, in the CUDA 11.3 environment:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu113
3. Model training process:
Dataset preparation: Prepare the training set and validation set. You can use public data sets or collect data yourself and ensure that the data format is compatible with the model code.
Model code writing: Use PyTorch to write model code, including model architecture, loss functions, and optimizer definitions.
Training model: Run training scripts on CentOS system. Make sure the environment is configured correctly, especially GPU environment variables.
Training process monitoring: Monitor indicators such as loss value and accuracy, and adjust model parameters or training strategies in a timely manner.
Model saving and loading: After training is completed, save model parameters for subsequent loading for inference or continue training.
torch.save(model.state_dict(), 'your_model.pth')Model Testing: Use the test set to evaluate model performance.
4. Example of PyTorch training loop:
The following is a simplified PyTorch training loop example, which needs to be modified according to actual conditions:
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from your_dataset import YourDataset # Replace with your dataset class YourModel(nn.Module):
def __init__(self):
super(YourModel, self).__init__()
# ... Model layer definition...
def forward(self, x):
# ... Forward transmission...
Return x
train_data = YourDataset(train=True)
val_data = YourDataset(train=False)
train_loader = DataLoader(train_data, batch_size=32, shuffle=True)
val_loader = DataLoader(val_data, batch_size=32, shuffle=False)
model = YourModel()
criteria = nn.CrossEntropyLoss()
optimizer = optim.Adam(model.parameters(), lr=0.001)
num_epochs = 10 # training rounds for epoch in range(num_epochs):
model.train()
for inputs, labels in train_loader:
optimizer.zero_grad()
outputs = model(inputs)
loss = criteria(outputs, labels)
loss.backward()
optimizer.step()
# ... Print training process information...
model.eval()
with torch.no_grad():
# ... Verify the model, calculate the performance indicators of the verification set...
torch.save(model.state_dict(), 'model.pth')
Please modify YourModel , YourDataset , loss function, optimizer and training parameters in the code according to your specific model and dataset. Remember to activate the virtual environment before running the code.
The above is the detailed content of How to train PyTorch model on CentOS. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undress AI Tool
Undress images for free
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
How to choose a free market website in the currency circle? The most comprehensive review in 2025
Jul 29, 2025 pm 06:36 PM
The most suitable tools for querying stablecoin markets in 2025 are: 1. Binance, with authoritative data and rich trading pairs, and integrated TradingView charts suitable for technical analysis; 2. Ouyi, with clear interface and strong functional integration, and supports one-stop operation of Web3 accounts and DeFi; 3. CoinMarketCap, with many currencies, and the stablecoin sector can view market value rankings and deans; 4. CoinGecko, with comprehensive data dimensions, provides trust scores and community activity indicators, and has a neutral position; 5. Huobi (HTX), with stable market conditions and friendly operations, suitable for mainstream asset inquiries; 6. Gate.io, with the fastest collection of new coins and niche currencies, and is the first choice for projects to explore potential; 7. Tra
Ethena treasury strategy: the rise of the third empire of stablecoin
Jul 30, 2025 pm 08:12 PM
The real use of battle royale in the dual currency system has not yet happened. Conclusion In August 2023, the MakerDAO ecological lending protocol Spark gave an annualized return of $DAI8%. Then Sun Chi entered in batches, investing a total of 230,000 $stETH, accounting for more than 15% of Spark's deposits, forcing MakerDAO to make an emergency proposal to lower the interest rate to 5%. MakerDAO's original intention was to "subsidize" the usage rate of $DAI, almost becoming Justin Sun's Solo Yield. July 2025, Ethe
python connect to sql server pyodbc example
Jul 30, 2025 am 02:53 AM
Install pyodbc: Use the pipinstallpyodbc command to install the library; 2. Connect SQLServer: Use the connection string containing DRIVER, SERVER, DATABASE, UID/PWD or Trusted_Connection through the pyodbc.connect() method, and support SQL authentication or Windows authentication respectively; 3. Check the installed driver: Run pyodbc.drivers() and filter the driver name containing 'SQLServer' to ensure that the correct driver name is used such as 'ODBCDriver17 for SQLServer'; 4. Key parameters of the connection string
Ethereum (ETH) NFT sold nearly $160 million in seven days, and lenders launched unsecured crypto loans with World ID
Jul 30, 2025 pm 10:06 PM
Table of Contents Crypto Market Panoramic Nugget Popular Token VINEVine (114.79%, Circular Market Value of US$144 million) ZORAZora (16.46%, Circular Market Value of US$290 million) NAVXNAVIProtocol (10.36%, Circular Market Value of US$35.7624 million) Alpha interprets the NFT sales on Ethereum chain in the past seven days, and CryptoPunks ranked first in the decentralized prover network Succinct launched the Succinct Foundation, which may be the token TGE
What is Binance Treehouse (TREE Coin)? Overview of the upcoming Treehouse project, analysis of token economy and future development
Jul 30, 2025 pm 10:03 PM
What is Treehouse(TREE)? How does Treehouse (TREE) work? Treehouse Products tETHDOR - Decentralized Quotation Rate GoNuts Points System Treehouse Highlights TREE Tokens and Token Economics Overview of the Third Quarter of 2025 Roadmap Development Team, Investors and Partners Treehouse Founding Team Investment Fund Partner Summary As DeFi continues to expand, the demand for fixed income products is growing, and its role is similar to the role of bonds in traditional financial markets. However, building on blockchain
What is Ethereum? What are the ways to obtain Ethereum ETH?
Jul 31, 2025 pm 11:00 PM
Ethereum is a decentralized application platform based on smart contracts, and its native token ETH can be obtained in a variety of ways. 1. Register an account through centralized platforms such as Binance and Ouyiok, complete KYC certification and purchase ETH with stablecoins; 2. Connect to digital storage through decentralized platforms, and directly exchange ETH with stablecoins or other tokens; 3. Participate in network pledge, and you can choose independent pledge (requires 32 ETH), liquid pledge services or one-click pledge on the centralized platform to obtain rewards; 4. Earn ETH by providing services to Web3 projects, completing tasks or obtaining airdrops. It is recommended that beginners start from mainstream centralized platforms, gradually transition to decentralized methods, and always attach importance to asset security and independent research, to
How can we avoid being a buyer when trading coins? Beware of risks coming
Jul 30, 2025 pm 08:06 PM
To avoid taking over at high prices of currency speculation, it is necessary to establish a three-in-one defense system of market awareness, risk identification and defense strategy: 1. Identify signals such as social media surge at the end of the bull market, plunge after the surge in the new currency, and giant whale reduction. In the early stage of the bear market, use the position pyramid rules and dynamic stop loss; 2. Build a triple filter for information grading (strategy/tactics/noise), technical verification (moving moving averages and RSI, deep data), emotional isolation (three consecutive losses and stops, and pulling the network cable); 3. Create three-layer defense of rules (big whale tracking, policy-sensitive positions), tool layer (on-chain data monitoring, hedging tools), and system layer (barbell strategy, USDT reserves); 4. Beware of celebrity effects (such as LIBRA coins), policy changes, liquidity crisis and other scenarios, and pass contract verification and position verification and
Top 10 AI concept coins worth paying attention to in 2025 What are the AI concept coins worth paying attention to in 2025
Jul 29, 2025 pm 06:06 PM
The top ten potential AI concept coins in 2025 include: 1. Render (RNDR) as a decentralized GPU rendering network, providing AI with key computing power infrastructure; 2. Fetch.ai (FET) builds an intelligent economy through autonomous economic agents and participates in the formation of the "Artificial Intelligence Super Alliance" (ASI); 3. SingularityNET (AGIX) builds a decentralized AI service market, promotes the development of general artificial intelligence, and is a core member of ASI; 4. Ocean Protocol (OCEAN) solves data silos and privacy issues, provides secure data transactions and "Compute-to-Data" technology to support the AI data economy; 5.
