Help Center> ModelArts> Image Management> Using a Preset Image> Images Preset in Notebook> PyTorch (x86)-powered Notebook Base Image
Updated on 2023-09-28 GMT+08:00
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PyTorch (x86)-powered Notebook Base Image

ModelArts provides the following notebook base images powered by PyTorch (x86): pytorch1.8-cuda10.2-cudnn7-ubuntu18.04, pytorch1.10-cuda10.2-cudnn7-ubuntu18.04, and pytorch1.4-cuda10.1-cudnn7-ubuntu18.04.

Image pytorch1.8-cuda10.2-cudnn7-ubuntu18.04

Table 1 pytorch1.8-cuda10.2-cudnn7-ubuntu18.04 description

AI Engine

Whether to Use GPUs

(CUDA Version)

URL

Dependency

PyTorch 1.8

Yes

(cuda 10.2)

swr.{region_id}.myhuaweicloud.com/atelier/pytorch_1_8:pytorch_1.8.0-cuda_10.2-py_3.7-ubuntu_18.04-x86_64-20220926104358-041ba2e

PyPI package

Ubuntu package

torch 1.8.0

torchvision 0.9.0

ipykernel 6.7.0

ipython 7.34.0

jupyter-client 7.3.4

ma-cau 1.1.6

ma-cau-adapter 1.1.3

ma-cli 1.2.2

matplotlib 3.5.1

modelarts 1.4.11

moxing-framework 2.1.0.5d9c87c8

numpy 1.19.5

opencv-python 4.1.2.30

pandas 1.1.5

pillow 9.2.0

pip 22.1.2

psutil 5.8.0

PyYAML 5.1

scipy 1.5.2

scikit-learn 0.22.1

tornado 6.2

tensorboard 2.1.1

automake

build-essential

ca-certificates

cmake

cpp

curl

ffmpeg

g++

gcc

gfortran

git

git-lfs

grep

libcudnn7

libcudnn7-dev

libjpeg-dev:amd64

libjpeg8-dev:amd64

openssh-client

openssh-server

nginx

pandoc

python3

rpm

screen

tar

tmux

unzip

vim

wget

zip

Image pytorch1.10-cuda10.2-cudnn7-ubuntu18.04

Table 2 pytorch1.10-cuda10.2-cudnn7-ubuntu18.04 description

AI Engine

Whether to Use GPUs

(CUDA Version)

URL

Dependency

PyTorch 1.10

Yes

(cuda 10.2)

swr.{region_id}.myhuaweicloud.com/atelier/pytorch_1_10:pytorch_1.10.2-cuda_10.2-py_3.7-ubuntu_18.04-x86_64-20221008154718-2b3e39c

PyPI package

Ubuntu package

torch 1.10.2

torchvision 0.11.3

ipykernel 5.3.4

ipython 7.34.0

jupyter-client 7.3.4

ma-cau 1.1.6

ma-cau-adapter 1.1.3

ma-cli 1.2.2

matplotlib 3.5.1

modelarts 1.4.11

moxing-framework 2.1.0.5d9c87c8

numpy 1.19.5

opencv-python 4.1.2.30

pandas 1.1.5

pillow 9.2.0

pip 22.1.2

psutil 5.8.0

PyYAML 5.1

scipy 1.5.2

scikit-learn 0.22.1

tornado 6.2

automake

build-essential

ca-certificates

cmake

cpp

curl

ffmpeg

g++

gcc

gfortran

git

git-lfs

grep

libcudnn7

libcudnn7-dev

libjpeg-dev:amd64

libjpeg8-dev:amd64

openssh-client

openssh-server

nginx

pandoc

python3

rpm

screen

tar

tmux

unzip

vim

wget

zip

Image pytorch1.4-cuda10.1-cudnn7-ubuntu18.04

Table 3 pytorch1.4-cuda10.1-cudnn7-ubuntu18.04 description

AI Engine

Whether to Use GPUs

(CUDA Version)

URL

Dependency

PyTorch 1.4

Yes

(cuda 10.1)

swr.{region_id}.myhuaweicloud.com/atelier/pytorch_1_4:pytorch_1.4-cuda_10.1-py37-ubuntu_18.04-x86_64-20220926104017-041ba2e

PyPI package

Ubuntu package

torch 1.4.0

torchvision 0.5.0

ipykernel 6.7.0

ipython 7.34.0

jupyter-client 7.3.4

ma-cau 1.1.6

ma-cau-adapter 1.1.3

ma-cli 1.2.2

matplotlib 3.5.1

modelarts 1.4.11

moxing-framework 2.1.0.5d9c87c8

numpy 1.19.5

opencv-python 4.1.2.30

pandas 1.1.5

pillow 9.2.0

pip 22.1.2

psutil 5.8.0

PyYAML 5.1

scipy 1.5.2

scikit-learn 0.22.1

tornado 6.2

tensorboard 2.1.1

automake

build-essential

ca-certificates

cmake

cpp

curl

ffmpeg

g++

gcc

gfortran

git

git-lfs

grep

libcudnn7

libcudnn7-dev

libjpeg-dev:amd64

libjpeg8-dev:amd64

openssh-client

openssh-server

nginx

pandoc

python3

rpm

screen

tar

tmux

unzip

vim

wget

zip