youjiageng1/doc-exports
1
0
Fork 0
forked from laiweijian4/doc-exports
Code Pull Requests Activity
doc-exports/docs/modelarts/api-ref/ListImage.html
Lai, Weijian 2f0818cf3d ModelArts API 22.3.0 version-20240311 
Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com>
Co-authored-by: Lai, Weijian <laiweijian4@huawei.com>
Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>
2024-04-05 09:35:42 +00:00

561 lines
29 KiB
HTML
Raw Blame History

<a name="ListImage"></a><a name="ListImage"></a>
<h1 class="topictitle1">Querying Supported Images</h1>
<div id="body0000001321218405"><div class="section" id="ListImage__section1360455011412"><h4 class="sectiontitle">Function</h4><p id="ListImage__p11604165094110">This API is used to query all images by page based on specified conditions.</p>
</div>
<div class="section" id="ListImage__section6604165044112"><h4 class="sectiontitle">Constraints</h4><p id="ListImage__p136051350164113">None</p>
</div>
<div class="section" id="ListImage__section19607135014113"><h4 class="sectiontitle">URI</h4><p id="ListImage__p11607205084111">GET /v1/{project_id}/images</p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="ListImage__table1960825064114" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Path Parameters</caption><thead align="left"><tr id="ListImage__row560815016411"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.3.2.5.1.1"><p id="ListImage__p12609125054114">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.3.2.5.1.2"><p id="ListImage__p7609135013419">Mandatory</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.3.2.5.1.3"><p id="ListImage__p3610450134118">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.3.3.2.5.1.4"><p id="ListImage__p0610125011418">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="ListImage__row960815010414"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.1 "><p id="ListImage__p146117505415">project_id</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.2 "><p id="ListImage__p3611135013414">Yes</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.3 "><p id="ListImage__p561295014417">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p id="ListImage__p1761215016411">Project ID. For details, see <a href="modelarts_03_0147.html">Obtaining a Project ID</a>.</p>
</td>
</tr>
</tbody>
</table>
</div>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="ListImage__table1961495013415" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Query Parameters</caption><thead align="left"><tr id="ListImage__row1361311502412"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.4.2.5.1.1"><p id="ListImage__p10614195054114">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.4.2.5.1.2"><p id="ListImage__p1061535084115">Mandatory</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.4.2.5.1.3"><p id="ListImage__p1561515500412">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.3.4.2.5.1.4"><p id="ListImage__p8616185024117">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="ListImage__row361310509414"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p id="ListImage__p13616125034114">limit</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.2 "><p id="ListImage__p5617350184115">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p id="ListImage__p19617185054115">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p id="ListImage__p116181550144112">Number of records on each page.</p>
</td>
</tr>
<tr id="ListImage__row156131350104116"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p id="ListImage__p14618175064111">name</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.2 "><p id="ListImage__p15618145054112">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p id="ListImage__p1361925016412">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p id="ListImage__p19619155018412">Image name.</p>
</td>
</tr>
<tr id="ListImage__row1261315018415"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p id="ListImage__p13620155012418">namespace</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.2 "><p id="ListImage__p462115500412">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p id="ListImage__p1662235074113">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p id="ListImage__p156221150104114">Image organization.</p>
</td>
</tr>
<tr id="ListImage__row0613175017411"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p id="ListImage__p186231150124114">offset</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.2 "><p id="ListImage__p8623145024113">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p id="ListImage__p3624650194111">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p id="ListImage__p12624175084116">Start offset of the records on each page.</p>
</td>
</tr>
<tr id="ListImage__row56137508413"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p id="ListImage__p1962485084113">sort_dir</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.2 "><p id="ListImage__p062505084114">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p id="ListImage__p2625155012419">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p id="ListImage__p1962625014414">Sorting order. The options are <strong id="ListImage__b5626185054114">ASC</strong> (ascending order) and <strong id="ListImage__b562625004114">DESC</strong> (descending order).</p>
</td>
</tr>
<tr id="ListImage__row12613115054117"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p id="ListImage__p14627135034118">sort_key</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.2 "><p id="ListImage__p7627205019419">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p id="ListImage__p7627155011418">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p id="ListImage__p1862895017418">Sorting fields. Separate multiple fields with commas (,).</p>
</td>
</tr>
<tr id="ListImage__row261355019412"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p id="ListImage__p6628950194114">type</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.2 "><p id="ListImage__p19629250154113">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p id="ListImage__p862945094119">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p id="ListImage__p463013509414">Image type. Options: - <strong id="ListImage__b146302504419">BUILD_IN</strong>: built-in system image.- <strong id="ListImage__b663010507415">DEDICATED</strong>: image saved by the user.</p>
</td>
</tr>
<tr id="ListImage__row961455044112"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p id="ListImage__p363095012411">workspace_id</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.2 "><p id="ListImage__p76316503419">No</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p id="ListImage__p963105014419">String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p id="ListImage__p763275016414">Workspace ID. If no workspaces are available, the default value is <strong id="ListImage__b163245034115">0</strong>.</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="ListImage__section1763285020412"><h4 class="sectiontitle">Request Parameters</h4><p id="ListImage__p1963345014414">None</p>
</div>
<div class="section" id="ListImage__section196337506414"><h4 class="sectiontitle">Response Parameters</h4><p id="ListImage__p76331250104112"><strong id="ListImage__b96346501416">Status code: 200</strong></p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="ListImage__response_ImageListResponse" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Response body parameters</caption><thead align="left"><tr id="ListImage__row156341150184117"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.3.2.4.1.1"><p id="ListImage__p13635165054112">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.3.2.4.1.2"><p id="ListImage__p176361350124113">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="60%" id="mcps1.3.5.3.2.4.1.3"><p id="ListImage__p56361650154111">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="ListImage__row1063415024110"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="ListImage__p363619509411">current</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="ListImage__p14637950154110">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="ListImage__p3637150124111">Current page</p>
</td>
</tr>
<tr id="ListImage__row963465044113"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="ListImage__p76387504416">data</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="ListImage__p76385509410">Array of <a href="#ListImage__response_Image">Image</a> objects</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="ListImage__p196391850104118">Data</p>
</td>
</tr>
<tr id="ListImage__row563445094120"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="ListImage__p2063912502412">pages</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="ListImage__p1763975084116">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="ListImage__p964065064116">Total pages</p>
</td>
</tr>
<tr id="ListImage__row4634125017413"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="ListImage__p1640350134116">size</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="ListImage__p106411450184111">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="ListImage__p20641250164112">Number of records on each page</p>
</td>
</tr>
<tr id="ListImage__row863455010414"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.1 "><p id="ListImage__p16642350154120">total</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.3.2.4.1.2 "><p id="ListImage__p186420509415">Long</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.3.2.4.1.3 "><p id="ListImage__p196428503412">Total records</p>
</td>
</tr>
</tbody>
</table>
</div>
<div class="tablenoborder"><a name="ListImage__response_Image"></a><a name="response_Image"></a><table cellpadding="4" cellspacing="0" summary="" id="ListImage__response_Image" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Image</caption><thead align="left"><tr id="ListImage__row2643115019412"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.4.2.4.1.1"><p id="ListImage__p1964495018413">Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.4.2.4.1.2"><p id="ListImage__p11644750144114">Type</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="60%" id="mcps1.3.5.4.2.4.1.3"><p id="ListImage__p56451650134112">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="ListImage__row46431350194113"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.1 "><p id="ListImage__p464535084113">id</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.2 "><p id="ListImage__p19646125094119">String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.4.2.4.1.3 "><p id="ListImage__p164615500413">Image ID</p>
</td>
</tr>
<tr id="ListImage__row16439509418"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.1 "><p id="ListImage__p11647185016413">name</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.2 "><p id="ListImage__p664795034120">String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.4.2.4.1.3 "><p id="ListImage__p3647450154112">Image name.</p>
</td>
</tr>
<tr id="ListImage__row5643750154115"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.1 "><p id="ListImage__p1764817509412">swr_path</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.2 "><p id="ListImage__p864975054118">String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.4.2.4.1.3 "><p id="ListImage__p36491850154119">SWR image address</p>
</td>
</tr>
<tr id="ListImage__row20643650134117"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.1 "><p id="ListImage__p206501950144113">type</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.4.2.4.1.2 "><p id="ListImage__p965045016418">String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.5.4.2.4.1.3 "><p id="ListImage__p56510505418">Image type. Options: - <strong id="ListImage__b56511350184113">BUILD_IN</strong>: built-in system image- <strong id="ListImage__b1265112508417">DEDICATED</strong>: image saved by the user</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="ListImage__section12652450174120"><h4 class="sectiontitle">Example Requests</h4><p id="ListImage__p265218507413">None</p>
</div>
<div class="section" id="ListImage__section19653175064114"><h4 class="sectiontitle">Example Responses</h4><p id="ListImage__p206545509417"><strong id="ListImage__b1765415016416">Status code: 200</strong></p>
<p id="ListImage__p1865519504416">OK</p>
<pre class="screen" id="ListImage__screen8667185004119">{
"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" : ".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" : ".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" : "aarch64",
"description" : "notebook2.0-mul-kernel-arm-ascend-cp37",
"dev_services" : [ "NOTEBOOK", "SSH" ],
"id" : "1d925a2e-dd3f-4f7c-ba15-1e5cb23a6b25",
"name" : "notebook2.0-mul-kernel-arm-ascend-cp37",
"resource_categories" : [ ],
"swr_path" : ".xxxx.com/atelier/notebook2.0-mul-kernel-arm-ascend-cp37:3.3.2-c79_release_v3",
"tag" : "3.3.2-c79_release_v3",
"type" : "BUILD_IN",
"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" : ".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" : ".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" : ".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" : ".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" : ".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" : "aarch64",
"description" : "AI inference application development, preconfigured ModelBox and AI engine MindSpore, only SSH connection supported.",
"dev_services" : [ "AI_FLOW", "SSH" ],
"id" : "e1a07296-22a8-4f05-8bc8-e936c8e54102",
"name" : "modelbox-mindspore5.1.5-cann20.2-euler2.9.5-aarch64",
"resource_categories" : [ "ASCEND" ],
"status" : "ACTIVE",
"swr_path" : ".xxxx.com/atelier/modelarts_aiflow_ascend_aarch64:1.0.4.1",
"tag" : "1.0.4.1",
"type" : "BUILD_IN",
"update_at" : 1638425872501,
"workspace_id" : "0"
}, {
"arch" : "aarch64",
"description" : "Ascend+ARM algorithm development and training. TensorFlow and MindSpore are preset in the AI engine.",
"dev_services" : [ "NOTEBOOK", "SSH" ],
"id" : "e1a07296-22a8-4f05-8bc8-e936c8e54097",
"name" : "tensorflow1.15-mindspore1.2.0-cann20.2-euler2.8-aarch64",
"resource_categories" : [ "CPU", "ASCEND" ],
"status" : "ACTIVE",
"swr_path" : ".xxxx.com/atelier/notebook2.0-mul-kernel-arm-ascend-cp37:3.3.2-c79_release_v3",
"tag" : "3.3.2-c79_release_v3",
"type" : "BUILD_IN",
"workspace_id" : "0"
}, {
"arch" : "aarch64",
"description" : "Ascend+ARM algorithm development and training. TensorFlow and MindSpore are preset in the AI engine.",
"dev_services" : [ "NOTEBOOK", "SSH" ],
"id" : "59a6e9f5-93c0-44dd-85b0-82f390c5d53b",
"name" : "tensorflow1.15-mindspore1.3.0-cann20.2-euler2.8-aarch64",
"resource_categories" : [ "ASCEND" ],
"status" : "ACTIVE",
"swr_path" : ".xxxx.com/atelier/notebook2.0-mul-kernel-arm-ascend-cp37:3.3.2-c79_release_v3",
"tag" : "3.3.2-c79_release_v3",
"type" : "BUILD_IN",
"update_at" : 1632470275633,
"workspace_id" : "0"
}, {
"arch" : "aarch64",
"description" : "Ascend operator development. The professional operator development tool MindStudio is preconfigured, only SSH connection supported.",
"dev_services" : [ "SSH" ],
"id" : "42dbf97e-5e26-4d7f-a836-193ffc3fa78e",
"name" : "mindstudio3.0.2-ascend910-cann3.3.0-ubuntu18.04-aarch64",
"resource_categories" : [ "ASCEND" ],
"status" : "ACTIVE",
"swr_path" : ".xxxx.com/atelier/mindstudio-modelarts-image:0830",
"tag" : "0830",
"type" : "BUILD_IN",
"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" : ".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" : ".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" : ".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" : ".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" : ".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" : ".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" : ".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" : ".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" : ".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" : ".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" : ".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" : ".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
}</pre>
</div>
<div class="section" id="ListImage__section19101451164118"><h4 class="sectiontitle">Status Codes</h4>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="ListImage__status_code" frame="border" border="1" rules="all"><thead align="left"><tr id="ListImage__row573825044120"><th align="left" class="cellrowborder" valign="top" width="15%" id="mcps1.3.8.2.1.3.1.1"><p id="ListImage__p15102511411">Status Code</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="85%" id="mcps1.3.8.2.1.3.1.2"><p id="ListImage__p11111519411">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="ListImage__row207381450184110"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.8.2.1.3.1.1 "><p id="ListImage__p211451184110">200</p>
</td>
<td class="cellrowborder" valign="top" width="85%" headers="mcps1.3.8.2.1.3.1.2 "><p id="ListImage__p191155124111">OK</p>
</td>
</tr>
<tr id="ListImage__row373865016418"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.8.2.1.3.1.1 "><p id="ListImage__p111111511416">401</p>
</td>
<td class="cellrowborder" valign="top" width="85%" headers="mcps1.3.8.2.1.3.1.2 "><p id="ListImage__p5111651114118">Unauthorized</p>
</td>
</tr>
<tr id="ListImage__row1973845084117"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.8.2.1.3.1.1 "><p id="ListImage__p31115112414">403</p>
</td>
<td class="cellrowborder" valign="top" width="85%" headers="mcps1.3.8.2.1.3.1.2 "><p id="ListImage__p1811165115415">Forbidden</p>
</td>
</tr>
<tr id="ListImage__row1373812502418"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.8.2.1.3.1.1 "><p id="ListImage__p1011105164115">404</p>
</td>
<td class="cellrowborder" valign="top" width="85%" headers="mcps1.3.8.2.1.3.1.2 "><p id="ListImage__p171295124119">Not Found</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="ListImage__section1412135174117"><h4 class="sectiontitle">Error Codes</h4><p id="ListImage__p3122510419">See <a href="modelarts_03_0095.html">Error Codes</a>.</p>
</div>
</div>
<div>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="notebook.html">DevEnviron Instance Management</a></div>
</div>
</div>
View Git Blame Copy Permalink