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Lai, Weijian
6aa966a79a
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>
76 lines
7.6 KiB
HTML
76 lines
7.6 KiB
HTML
<a name="EN-US_TOPIC_0000002043018904"></a><a name="EN-US_TOPIC_0000002043018904"></a>
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<h1 class="topictitle1">Overview</h1>
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<div id="body0000001166070598"><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_p8060118">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.</p>
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<p id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_p280125318331">This section describes how to use a preset image to create an algorithm.</p>
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<ul id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_ul1447981433"><li id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_li944716894317">For details about ModelArts built-in engines and models, see <a href="#EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_section194662011154910">Built-in Training Engines</a>.</li><li id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_li159734984313">To migrate local algorithms to ModelArts, perform code adaptation. For details, see <a href="develop-modelarts-0008.html">Developing a Custom Script</a>.</li><li id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_li1167513116457">For details about how to use a preset image to create an algorithm on the ModelArts console, see <a href="develop-modelarts-0009.html">Creating an Algorithm</a>.</li></ul>
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<div class="section" id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_section194662011154910"><a name="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_section194662011154910"></a><a name="en-us_topic_0000001133191212_section194662011154910"></a><h4 class="sectiontitle">Built-in Training Engines</h4><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_p03162053125511">The following table lists the training engines and their versions supported by ModelArts.</p>
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<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000002043018904__en-us_topic_0000001133191212_table142741541191514" frame="border" border="1" rules="all"><caption><b>Table 1 </b>AI engines supported by training jobs of the new version</caption><thead align="left"><tr id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_row42597543162"><th align="left" class="cellrowborder" valign="top" width="15.666866626674667%" id="mcps1.3.4.3.2.7.1.1"><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p12591546164">Runtime Environment</p>
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</th>
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<th align="left" class="cellrowborder" valign="top" width="14.517096580683864%" id="mcps1.3.4.3.2.7.1.2"><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p225917541163">Supported Chip</p>
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</th>
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<th align="left" class="cellrowborder" valign="top" width="10.127974405118977%" id="mcps1.3.4.3.2.7.1.3"><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p1725985412165">System Architecture</p>
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</th>
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<th align="left" class="cellrowborder" valign="top" width="17.05658868226355%" id="mcps1.3.4.3.2.7.1.4"><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p17259254111612">System Version</p>
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</th>
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<th align="left" class="cellrowborder" valign="top" width="26.544691061787645%" id="mcps1.3.4.3.2.7.1.5"><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p5259175411617">AI Engine and Version</p>
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</th>
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<th align="left" class="cellrowborder" valign="top" width="16.086782643471302%" id="mcps1.3.4.3.2.7.1.6"><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p11259115411616">Supported CUDA or Ascend Version</p>
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</th>
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</tr>
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</thead>
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<tbody><tr id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_row144291829184319"><td class="cellrowborder" valign="top" width="15.666866626674667%" headers="mcps1.3.4.3.2.7.1.1 "><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p6577151694912"><strong id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_b20179102994919">Ascend-Powered-Engine</strong></p>
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</td>
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<td class="cellrowborder" valign="top" width="14.517096580683864%" headers="mcps1.3.4.3.2.7.1.2 "><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p13261013154918">Ascend910</p>
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</td>
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<td class="cellrowborder" valign="top" width="10.127974405118977%" headers="mcps1.3.4.3.2.7.1.3 "><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p146651435144915">aarch64</p>
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</td>
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<td class="cellrowborder" valign="top" width="17.05658868226355%" headers="mcps1.3.4.3.2.7.1.4 "><p id="EN-US_TOPIC_0000002043018904__en-us_topic_0246510446_p1625816674914">Euler2.8</p>
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</td>
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<td class="cellrowborder" valign="top" width="26.544691061787645%" headers="mcps1.3.4.3.2.7.1.5 "><p id="EN-US_TOPIC_0000002043018904__p15119115813575">mindspore_2.0.0-cann_6.3.0-py_3.7-euler_2.8.3-aarch64</p>
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<td class="cellrowborder" valign="top" width="16.086782643471302%" headers="mcps1.3.4.3.2.7.1.6 "><p id="EN-US_TOPIC_0000002043018904__p17397412152018">cann_6.3.0</p>
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</td>
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</tr>
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<tr id="EN-US_TOPIC_0000002043018904__row13950935112510"><td class="cellrowborder" valign="top" width="15.666866626674667%" headers="mcps1.3.4.3.2.7.1.1 "><p id="EN-US_TOPIC_0000002043018904__p19329104232516"><strong id="EN-US_TOPIC_0000002043018904__b1632912428250">PyTorch</strong></p>
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<p id="EN-US_TOPIC_0000002043018904__p164581133182518"></p>
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<td class="cellrowborder" valign="top" width="14.517096580683864%" headers="mcps1.3.4.3.2.7.1.2 "><p id="EN-US_TOPIC_0000002043018904__p432944219259">Ascend910</p>
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</td>
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<td class="cellrowborder" valign="top" width="10.127974405118977%" headers="mcps1.3.4.3.2.7.1.3 "><p id="EN-US_TOPIC_0000002043018904__p1151416505587">aarch64</p>
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</td>
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<td class="cellrowborder" valign="top" width="17.05658868226355%" headers="mcps1.3.4.3.2.7.1.4 "><p id="EN-US_TOPIC_0000002043018904__p172781530125910">Euler2.8</p>
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</td>
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<td class="cellrowborder" valign="top" width="26.544691061787645%" headers="mcps1.3.4.3.2.7.1.5 "><p id="EN-US_TOPIC_0000002043018904__p19291435175813">pytorch_1.11.0-cann_6.3.0-py_3.7-euler_2.8.3-aarch64</p>
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</td>
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<td class="cellrowborder" valign="top" width="16.086782643471302%" headers="mcps1.3.4.3.2.7.1.6 "><p id="EN-US_TOPIC_0000002043018904__p10161124105819">cann_6.3.0</p>
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</td>
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</tr>
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<tr id="EN-US_TOPIC_0000002043018904__row1145853322511"><td class="cellrowborder" valign="top" width="15.666866626674667%" headers="mcps1.3.4.3.2.7.1.1 "><p id="EN-US_TOPIC_0000002043018904__p209711930142615"><strong id="EN-US_TOPIC_0000002043018904__b69711930182613">TensorFlow</strong></p>
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<p id="EN-US_TOPIC_0000002043018904__p105901225192518"></p>
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<p id="EN-US_TOPIC_0000002043018904__p7339713162515"></p>
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<td class="cellrowborder" valign="top" width="14.517096580683864%" headers="mcps1.3.4.3.2.7.1.2 "><p id="EN-US_TOPIC_0000002043018904__p475316561593">Ascend910</p>
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</td>
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<td class="cellrowborder" valign="top" width="10.127974405118977%" headers="mcps1.3.4.3.2.7.1.3 "><p id="EN-US_TOPIC_0000002043018904__p97531656155916">aarch64</p>
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<td class="cellrowborder" valign="top" width="17.05658868226355%" headers="mcps1.3.4.3.2.7.1.4 "><p id="EN-US_TOPIC_0000002043018904__p20971103012618">Euler2.8</p>
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</td>
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<td class="cellrowborder" valign="top" width="26.544691061787645%" headers="mcps1.3.4.3.2.7.1.5 "><p id="EN-US_TOPIC_0000002043018904__p84588336252">tensorflow_1.15.0-cann_6.3.0-py_3.7-euler_2.8.3-aarch64</p>
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</td>
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<td class="cellrowborder" valign="top" width="16.086782643471302%" headers="mcps1.3.4.3.2.7.1.6 "><p id="EN-US_TOPIC_0000002043018904__p1141584510592">cann_6.3.0</p>
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</td>
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</tr>
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</tbody>
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</table>
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</div>
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</div>
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</div>
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<div>
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<div class="familylinks">
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<div class="parentlink"><strong>Parent topic:</strong> <a href="develop-modelarts-0006.html">Using a Preset Image (Custom Script)</a></div>
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</div>
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</div>
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