GPU server offline training model

Enterprise 2023-06-25 07:30:56 views: null

1 Question source

Recently, the Tencent Cloud GPU server was used to train the neural network model. Due to the recent instability of the campus network and the frequent disconnection of the network, the training of the model on the server stopped. Therefore, it is considered to let the server train the model offline.

2 solutions

① The code is in the form of a shell command:

nohup sh train.sh > out.log &

② The code is in .py file format:

nohup python train.py > out.log &

Guess you like

Origin blog.csdn.net/m0_59705760/article/details/129066792

GPU server offline training model

GPU test code model training

Offline GPU server configuration virtual environment

False stuck when Tensorflow GPU training model

pytorch training model training with gpu loss function does not need to migrate to the gpu

Using multi-GPU training model under Keras

Keras multi-gpu training model weights file can not issue a single cpu or gpu machines used

TensorFlow + FaceNet + GPU training model (ultra-detailed process) (C, GPU configuration)

[Distributed training] Multi-GPU distributed model training based on PyTorch (supplement)

Configure and use the cloud server to train the neural network model - train the yolov5 model on the Ali GPU server

The large model RLHF algorithm is updated, and DeepMind proposes the self-training offline reinforcement learning framework ReST

GPU memory how to do less than the depth of the neural network model training?

[Super detailed] How to use GPU acceleration in the process of deep learning training model

7. Training model, CPU is often 100%, but GPU usage is only about 5%

GPU required for large model training: GPT-4, LLaMA, Falcon, Inflection

How to call the GPU training model [detailed tutorial 2] - PyTorch installation and configuration

How to call the GPU training model [Detailed Tutorial 1] - CUDA and cuDNN installation

Stand-alone training speed increased by 640 times! Exclusive interpretation of Kuaishou commercial advertising model GPU training platform Persia

Solve single GPU training

Pytorch training with GPU on Mac

Paddle GPU training

Helmet wearing detection - from data processing, training data to model deployment (with data set, training code, C++ model deployment code that can use GPU)

HUAWEI CLOUD GPU server uses PaddleServing to deploy PaddleClas multiple self-trained recognition model services

After getting a new GPU cloud server, how to deploy the environment to train the model

HUAWEI CLOUD GPU server uses PaddleClas and PaddleServing to train and deploy vehicle type classification model services

Distributed training over local gpu and colab gpu

Distributed training over local gpu and colab gpu

Victory BERT! NLP pre-training tool: a small model also has high-precision, single GPU will be able to train

Deep learning PyTorch, TensorFlow has low GPU utilization, low CPU utilization, and slow model training. Summary and analysis

Local Pycharm connects to remote server training model tutorial - yolov5 as an example

Recommended

Rushing to the GitHub hot list——How can open source programming languages and frameworks be so cute?

Beijing Humanoid Robot Innovation Center launches Tiangong, the world's first full-size humanoid robot with purely electric drive for anthropomorphic running

Ranking

8个无需编写代码即可使用 Python 内置库的方法

Java collections interview knowledge Lite

Machine learning algorithms foundation - Introduction a (watermelon materials for the book)

(Easy) Ransom Note - LeetCode

[Five days] Qt from entry to actual combat: the second day

Remember once extremely pit father can not download Maven Jar package of issues: IDEA question

The minimum cost Shortest

OSPF study map (the most complete version)

Network Takeaways

GnuPG

Daily

More

2024-04-27(29)

2024-04-26(22)

2024-04-25(32)

2024-04-24(30)

2024-04-23(30)

2024-04-22(5)

2024-04-21(0)

2024-04-20(6)

2024-04-19(5)

2024-04-18(0)