Component Introduction

The operator component of the mainstream deep learning framework combined with the CCE AI Job Scheduler can implement deep learning model training directly on the CCE.

Component Feature

The component integrates mainstream deep learning frameworks and provides out-of-the-box deep learning task submission capabilities. At present, the component supports the following deep learning framework:

1. TensorFlow (TFJob)
2. PyTorch (PyTorchJob)
3. MXNet (MXJob)
4. PaddlePaddle (PaddleJob)

Application Scenarios

You can directly run a deep learning task on a CCE cluster, improving AI engineering efficiency.

Restriction Description

• Only version v1.18 of Kubernetes clusters are available.

Install Component

1. Log in to Baidu AI Cloud Official Website, and then enter the management console.
2. Select “Product Service > Cloud Native CCE”, and click CCE to enter Cloud Container Engine console.
3. Click Cluster Management > Cluster List in the navbar on the left side.
4. On the cluster list page, click the target cluster name to enter the cluster management page.
5. On the cluster management page, clickComponent Management.
6. In the component management list, select the CCE Deep Learning Frameworks Operator component, and click “Install”.
7. Complete the deep learning framework configuration on the component configuration page.

• Framework: At present, the component supports four deep learning frameworks, including TensorFlow, Pytorch, Mxnet, and PaddlePaddle.

Note: You need to select at least one component and can also select multiple components.

• 8. Click the “Install” button to complete the component installation.