Querying Supported Images

Function

This API is used to query all images by page based on specified conditions.

Constraints

None

URI

GET /v1/{project_id}/images

**Table 1** Path Parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details, see Obtaining a Project ID.

**Table 2** Query Parameters
Parameter	Mandatory	Type	Description
limit	No	Integer	Number of records on each page.
name	No	String	Image name.
namespace	No	String	Image organization.
offset	No	Integer	Start offset of the records on each page.
sort_dir	No	String	Sorting order. The options are ASC (ascending order) and DESC (descending order).
sort_key	No	String	Sorting fields. Separate multiple fields with commas (,).
type	No	String	Image type. Options: BUILD_IN: built-in system image. DEDICATED: image saved by the user.
workspace_id	No	String	Workspace ID. If no workspace is created, the default value is 0. If a workspace is created and used, use the actual value.

Request Parameters

None

Response Parameters

Status code: 200

**Table 3** Response body parameters
Parameter	Type	Description
current	Integer	Current page
data	Array of Image objects	Data
pages	Integer	Total pages
size	Integer	Number of records on each page
total	Long	Total records

**Table 4** Image
Parameter	Type	Description
id	String	Image ID
name	String	Image name.
swr_path	String	SWR image address
type	String	Image type. Options: BUILD_IN: built-in system image DEDICATED: image saved by the user

Example Requests

None

Example Responses

Status code: 200

{
  "current" : 0,
  "data" : [ {
    "arch" : "x86_64",
    "description" : "CPU and GPU general algorithm development and training, preconfigured with AI engine PyTorch1.4",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "e1a07296-22a8-4f05-8bc8-e936c8e54099",
    "name" : "pytorch1.4-cuda10.1-cudnn7-ubuntu18.04",
    "resource_categories" : [ "CPU", "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-pytorch-1.4-kernel-cp37:3.3.3-B003-20211220",
    "tag" : "3.3.3-B003-20211220",
    "type" : "BUILD_IN",
    "update_at" : 1632415390765,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "CPU and GPU general algorithm development and training, preconfigured with AI engine TensorFlow2.1",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "e1a07296-22a8-4f05-8bc8-e936c8e54100",
    "name" : "tensorflow2.1-cuda10.1-cudnn7-ubuntu18.04",
    "resource_categories" : [ "CPU", "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-tensorflow-2.1-kernel-cp37:3.3.3-B005-20211227",
    "tag" : "3.3.3-B005-20211227",
    "type" : "BUILD_IN",
    "update_at" : 1632415555548,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "GPU algorithm development and training, preconfigured with the AI engine MindSpore-GPU",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "89de30ec-6871-4f22-84af-be37ef28335d",
    "name" : "mindspore1.2.0-cuda10.1-cudnn7-ubuntu18.04",
    "resource_categories" : [ "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-mindspore-kernel-gpu-cp37:3.3.3-B003-20211220",
    "tag" : "3.3.3-B003-20211220",
    "type" : "BUILD_IN",
    "update_at" : 1632502757168,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "CPU algorithm development and training, preconfigured with the AI engine MindSpore-CPU",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "65f636a0-56cf-49df-b941-7d2a07ba8c8c",
    "name" : "mindspore1.2.0-openmpi2.1.1-ubuntu18.04",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-mindspore-kernel-cpu-cp37:3.3.3-B003-20211220",
    "tag" : "3.3.3-B003-20211220",
    "type" : "BUILD_IN",
    "update_at" : 1632415234204,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "CPU algorithm development and training, including the MLStudio tool for graphical ML algorithm development, and preconfigured PySpark 2.3.2",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "0e5f9a41-c9c2-4d9a-a190-4e1b17a7782f",
    "name" : "mlstudio-pyspark2.3.2-ubuntu16.04",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-mlstudio-cp36:3.3.1.9",
    "tag" : "3.3.1.9",
    "type" : "BUILD_IN",
    "update_at" : 1632415063632,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "CPU algorithm development and training, including the MLStudio tool for graphical ML algorithm development, and preconfigured PySpark 2.4.5",
    "dev_services" : [ "NOTEBOOK" ],
    "id" : "0b2d0728-4c01-11ec-994f-001a7dda7111",
    "name" : "mlstudio-pyspark2.4.5-ubuntu18.04",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-mlstudio-cp37:3.3.3-B003-20211220",
    "tag" : "3.3.3-B003-20211220",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "AI inference application development, preconfigured ModelBox, AI engine PyTorch, TensorRT and TensorFlow, only SSH connection supported.",
    "dev_services" : [ "AI_FLOW", "SSH" ],
    "id" : "e1a07296-22a8-4f05-8bc8-e936c8e54101",
    "name" : "modelbox1.1.1.5-tensorrt7.1.3-pytorch1.9.1-cuda10.2-cudnn8-euler2.9.6",
    "resource_categories" : [ "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/modelarts-aiflow-gpu-x86:1.1.2.1",
    "tag" : "1.1.2.1",
    "type" : "BUILD_IN",
    "update_at" : 1636451722844,
    "workspace_id" : "0"
  }, 
{
    "arch" : "x86_64",
    "description" : "pytorch_1.4-move-modelarts_develop",
    "dev_services" : [ "NOTEBOOK" ],
    "id" : "9dcaa52c-5bc8-4030-96a7-62f099ec2003",
    "name" : "pytorch_1.4-move-modelarts_develop",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-pytorch-1-4-kernel-cp37:devel-pytorch_1.4-move-modelarts_develop-v4",
    "tag" : "devel-pytorch_1.4-move-modelarts_develop-v4",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "tensorflow-1.13-cuda10.0",
    "dev_services" : [ "NOTEBOOK" ],
    "id" : "34644333-e2f0-4fa3-915f-7c783ddc004d",
    "name" : "tensorflow-1.13-cuda10.0",
    "resource_categories" : [ "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-tensorflow-1.13-kernel-cp37:3.3.1.release",
    "tag" : "3.3.1.release",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "CPU and GPU general algorithm development and training, preconfigured with AI engine PyTorch1.8",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "278e88d1-5b71-4766-8502-b3ba72e824d9",
    "name" : "pytorch1.8-cuda10.2-cudnn7-ubuntu18.04",
    "resource_categories" : [ "CPU", "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-pytorch-1.8-kernel-cp37:3.3.3-B003-20211220",
    "tag" : "3.3.3-B003-20211220",
    "type" : "BUILD_IN",
    "update_at" : 1638234504492,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "MXNet-1.2.1, PySpark-2.3.2, Pytorch-1.0.0, TensorFlow-1.13.1, TensorFlow-1.8, XGBoost-Sklearn",
    "dev_services" : [ ],
    "id" : "e1a07296-22a8-4f05-8bc8-e936c8e54091",
    "name" : "notebook2.0-mul-kernel-cpu-cp36",
    "resource_categories" : [ "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-mul-kernel-gpu-cp36:3.3.3-B003-20211220",
    "tag" : "3.3.3-B003-20211220",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "GPU algorithm development and training, preconfigured with AI engine TensorFlow1.13.1",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "b80bbf3d-a7af-42f6-ad12-33ff9116ab0d",
    "name" : "tensorflow1.13-cuda10.0-cudnn7-ubuntu18.04",
    "resource_categories" : [ "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-tensorflow-1.13-kernel-cp37:3.3.3-B003-20211220",
    "tag" : "3.3.3-B003-20211220",
    "type" : "BUILD_IN",
    "update_at" : 1638234923985,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "user_define_base",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "e2f03e58-b743-41fb-bd18-00ba814fbe82",
    "name" : "user_define_base",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20211028190608-439572b",
    "tag" : "ubuntu_18.04-x86_64-20211028190608-439572b",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "user_define_base_cuda10.2",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "ee8e6602-5462-43ec-ac84-a08a78e41cfb",
    "name" : "user_define_base_cuda10.2",
    "resource_categories" : [ "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/user_defined_base:cuda_10.2-ubuntu_18.04-x86_64-20211028190608-439572b",
    "tag" : "cuda_10.2-ubuntu_18.04-x86_64-20211028190608-439572b",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "MXNet-1.2.1, PySpark-2.3.2, Pytorch-1.0.0, TensorFlow-1.13.1, TensorFlow-1.8, XGBoost-Sklearn",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "e1a07296-22a8-4f05-8bc8-e936c8e54090",
    "name" : "notebook2.0-mul-kernel-cpu-cp36",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-mul-kernel-cpu-cp36:3.3.3-B003-20211220",
    "tag" : "3.3.3-B003-20211220",
    "type" : "BUILD_IN",
    "update_at" : 1604442650857,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "create_at" : 1615264782906,
    "description" : "CPU operations research development, preconfigured with cylp, cbcpy, ortools, cplex(community).",
    "dev_services" : [ "NOTEBOOK", "SSH" ],
    "id" : "daf39542-ebe5-4073-a3a4-353efd519691",
    "name" : "cylp0.91.4-cbcpy2.10-ortools9.0-cplex20.1.0-ubuntu18.04",
    "namespace" : "rl-dev",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/rl-dev/or-cpu:1.0.8",
    "tag" : "1.0.8",
    "type" : "BUILD_IN",
    "update_at" : 1615404250789,
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "description" : "CPU and GPU algorithm development and training, preconfigured with AI engine ray for reinforcement learning.",
    "dev_services" : [ "NOTEBOOK" ],
    "id" : "706e03fb-650b-44da-a3ba-6191ba7e62c7",
    "name" : "rlstudio1.0.0-ray1.3.0-cuda10.1-ubuntu18.04 ",
    "resource_categories" : [ "CPU", "GPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-rl-1.0.0-kernel-cp37:rl-v220211130",
    "tag" : "rl-v220211130",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "dev_services" : [ "NOTEBOOK" ],
    "id" : "1d1b1327-b243-425b-ad81-2689584c1acc",
    "name" : "mls-feature-engineering",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-mul-kernel-mls-feature-engineering-cpu-py37:3.2.01090103",
    "tag" : "3.2.01090103",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  }, {
    "arch" : "x86_64",
    "dev_services" : [ ],
    "id" : "88bd7bcd-0c91-45b2-ad0e-ef65553d19c5",
    "name" : "dls-feature-engineering",
    "resource_categories" : [ "CPU" ],
    "status" : "ACTIVE",
    "swr_path" : "swr.xxx.xxxx.com/atelier/notebook2.0-mul-kernel-dls-feature-engineering-cpu-py37:2.0.109",
    "tag" : "2.0.109",
    "type" : "BUILD_IN",
    "workspace_id" : "0"
  } ],
  "pages" : 1,
  "size" : 200,
  "total" : 28
}