Updated on 2024-06-12 GMT+08:00

Overview

If the subscribed algorithms cannot meet your requirements or you want to migrate local algorithms to ModelArts for training, use the ModelArts preset images to create algorithms. This method is also called using a preset image.

This section describes how to use a preset image to create an algorithm.

Built-in Training Engines

The following table lists the training engines and their versions supported by ModelArts.

Supported AI engines vary depending on regions.

Table 1 AI engines supported by training jobs of the new version

Runtime Environment

Supported Chip

System Architecture

System Version

AI Engine and Version

Supported CUDA or Ascend Version

TensorFlow

CPU/GPU

x86_64

Ubuntu18.04

tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64

cuda10.1

PyTorch

CPU/GPU

x86_64

Ubuntu18.04

pytorch_1.8.0-cuda_10.2-py_3.7-ubuntu_18.04-x86_64

cuda10.2

MPI

CPU/GPU

x86_64

Ubuntu18.04

mindspore_1.3.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64

cuda_10.1

Horovod

GPU

x86_64

ubuntu_18.04

horovod_0.20.0-tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64

cuda_10.1

horovod_0.22.1-pytorch_1.8.0-cuda_10.2-py_3.7-ubuntu_18.04-x86_64

cuda_10.2