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| @@ -24,212 +24,69 @@ | |||
| <th>备注</th> | |||
| </tr> | |||
| </thead> | |||
| <tbody> | |||
| <tr class="wrap"> | |||
| <td rowspan="8" class="single line">启智集群</td> | |||
| <td rowspan="5">GPU</td> | |||
| <td class="single line">调试任务</td> | |||
| <td>T4</td> | |||
| <td> | |||
| <ul> | |||
| <li style="word-break: initial"> | |||
| 外部公开镜像，如：dockerhub镜像； | |||
| </li> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td>能连外网</td> | |||
| <td rowspan="8" class="single line">平台可解压数据集</td> | |||
| <td> | |||
| 数据集存放路径/dataset，模型存放路径/model，代码存放路径/code | |||
| </td> | |||
| <td></td> | |||
| <td></td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td rowspan="2">训练任务</td> | |||
| <td>V100</td> | |||
| <td> | |||
| <ul> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td class="single line">不能连外网</td> | |||
| <td rowspan="2"> | |||
| 训练脚本存储在/code中，数据集存储在/dataset中，预训练模型存放在环境变量ckpt_url中，训练输出请存储在/model中 | |||
| 以供后续下载。 | |||
| </td> | |||
| <td rowspan="2"> | |||
| <a | |||
| href="https://git.openi.org.cn/OpenIOSSG/MNIST_PytorchExample_GPU" | |||
| >https://git.openi.org.cn/OpenIO | |||
| SSG/MNIST_PytorchExample_GPU</a | |||
| > | |||
| </td> | |||
| <td> | |||
| 启智集群V100不能连外网，只能使用平台的镜像，不可使用外部公开镜像，，否则任务会一直处于waiting | |||
| 状态 | |||
| </td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td>A100</td> | |||
| <td> | |||
| <ul> | |||
| <li style="word-break: initial"> | |||
| 外部公开镜像，如：dockerhub镜像； | |||
| </li> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td>能连外网</td> | |||
| <td></td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td>推理任务</td> | |||
| <td>V100</td> | |||
| <td> | |||
| <ul> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td>不能连外网</td> | |||
| <td> | |||
| 数据集存储在/dataset中，模型文件存储在/model中，推理输出请存储在/result中 | |||
| 以供后续下载。 | |||
| </td> | |||
| <td> | |||
| <a | |||
| href="https://git.openi.org.cn/OpenIO | |||
| SSG/MNIST_PytorchExample_GPU/src/branch/master/inference.py" | |||
| >https://git.openi.org.cn/OpenIO | |||
| SSG/MNIST_PytorchExample_GPU/src/branch/master/inference.py</a | |||
| > | |||
| </td> | |||
| <td></td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td>评测任务</td> | |||
| <td>V100</td> | |||
| <td> | |||
| <ul> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td>不能连外网</td> | |||
| <td></td> | |||
| <td></td> | |||
| <td> | |||
| 模型评测时，先使用数据集功能上传模型，然后从数据集列表选模型。 | |||
| </td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td rowspan="3">NPU</td> | |||
| <td>调试任务</td> | |||
| <td class="single line">Ascend 910</td> | |||
| <td rowspan="3"> | |||
| <ul> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td rowspan="3">能连外网</td> | |||
| <td></td> | |||
| <td></td> | |||
| <td></td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td>训练任务</td> | |||
| <td>Ascend 910</td> | |||
| <td> | |||
| 数据集位置存储在环境变量data_url中，预训练模型存放在环境变量ckpt_url中，训练输出路径存储在环境变量train_url中。 | |||
| </td> | |||
| <td> | |||
| <a href="https://git.openi.org.cn/OpenIOSSG/MNIST_Example" | |||
| >https://git.openi.org.cn/OpenIOSSG/MNIST_Example</a | |||
| > | |||
| </td> | |||
| <td></td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td>推理任务</td> | |||
| <td>Ascend 910</td> | |||
| <td> | |||
| 数据集位置存储在环境变量data_url中，推理输出路径存储在环境变量result_url中。 | |||
| </td> | |||
| <td> | |||
| <a href="https://git.openi.org.cn/OpenIOSSG/MNIST_Example" | |||
| >https://git.openi.org.cn/OpenIOSSG/MNIST_Example</a | |||
| > | |||
| </td> | |||
| <td></td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td rowspan="3">智算网络</td> | |||
| <td rowspan="2">GPU</td> | |||
| <td rowspan="2">训练任务</td> | |||
| <td>V100</td> | |||
| <td> | |||
| <ul> | |||
| <li style="word-break: initial"> | |||
| 外部公开镜像，如：dockerhub镜像； | |||
| </li> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td>能连外网</td> | |||
| <td rowspan="3">用户自行解压数据 集</td> | |||
| <td rowspan="2"> | |||
| 训练脚本存储在/tmp/code中，数据集存储在/tmp/dataset中，预训练模型存放在环境变量ckpt_url中，训练输出请存储在/tmp/output中以供后续下载。 | |||
| </td> | |||
| <td rowspan="2"> | |||
| <a | |||
| href="https://git.openi.org.cn/OpenIO | |||
| SSG/MNIST_PytorchExample_GPU/src/branch/master/train_for_c | |||
| A100 2net.py" | |||
| >https://git.openi.org.cn/OpenIO | |||
| SSG/MNIST_PytorchExample_GPU/src/branch/master/train_for_c | |||
| A100 2net.py</a | |||
| > | |||
| </td> | |||
| <td></td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td>A100</td> | |||
| <td> | |||
| <ul> | |||
| <li style="word-break: initial"> | |||
| 外部公开镜像，如：dockerhub镜像； | |||
| </li> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td>能连外网</td> | |||
| <td></td> | |||
| </tr> | |||
| <tr class="wrap"> | |||
| <td>NPU</td> | |||
| <td>训练任务</td> | |||
| <td>Ascend 910</td> | |||
| <td> | |||
| <ul> | |||
| <li>平台镜像；</li> | |||
| </ul> | |||
| </td> | |||
| <td>能连外网</td> | |||
| <td> | |||
| 训练脚本存储在/cache/code中，预训练模型存放在环境变量ckpt_url中，训练输出请存储在/cache/output中以供后续下载。 | |||
| </td> | |||
| <td> | |||
| <a | |||
| href="https://git.openi.org.cn/OpenIO | |||
| SSG/MNIST_Example/src/branch/master/train_for_c2net.py" | |||
| >https://git.openi.org.cn/OpenIO | |||
| SSG/MNIST_Example/src/branch/master/train_for_c2net.py</a | |||
| > | |||
| </td> | |||
| <td></td> | |||
| </tr> | |||
| </tbody> | |||
| <tbody id="resource-desc"></tbody> | |||
| </table> | |||
| </div> | |||
| {{template "base/footer" .}} | |||
| <script> | |||
| (function () { | |||
| $.ajax({ | |||
| url: "/dashboard/invitation", | |||
| type: "get", | |||
| data: { filename: "resource/resource_desc.json" }, | |||
| contentType: "application/json; charset=utf-8", | |||
| success(res) { | |||
| const fragment = document.createDocumentFragment(); | |||
| const data = JSON.parse(res); | |||
| console.log("data", data); | |||
| let html = ""; | |||
| let reourceLength; | |||
| data.forEach((resource) => { | |||
| Object.keys(resource).forEach((cardType, index) => { | |||
| let reourceLength = 0; | |||
| let html1 = ""; | |||
| resource[cardType].forEach((card) => { | |||
| console.log("card", card); | |||
| Object.keys(card).forEach((item) => { | |||
| let html2 = ""; | |||
| reourceLength += card[item].length; | |||
| let cardLength = 0; | |||
| card[item].forEach((el) => { | |||
| cardLength += 1; | |||
| console.log("el", el, cardLength); | |||
| html2 += `<tr class="wrap"><td class="single line">${el.taskType}</td> | |||
| <td class="single line">${el.cardType}</td> | |||
| <td> | |||
| ${el.imageDesc} | |||
| </td> | |||
| <td class="single line">${el.net}</td> | |||
| <td >${el.dataset}</td> | |||
| <td> | |||
| ${el.dockerDir} | |||
| </td> | |||
| <td><a> ${el.example_repo}</a></td> | |||
| <td>${el.note}</td></tr>`; | |||
| }); | |||
| html2 = html2.replace( | |||
| /^<tr class="wrap">/, | |||
| `<tr class="wrap"><td class="single line" rowspan="${cardLength}">${item}</td>` | |||
| ); | |||
| html1 += html2; | |||
| }); | |||
| }); | |||
| html1 = html1.replace( | |||
| /^<tr class="wrap">/, | |||
| `<tr class="wrap"><td class="single line" rowspan="${reourceLength}">${cardType}</td>` | |||
| ); | |||
| html += html1; | |||
| }); | |||
| }); | |||
| document.querySelector("tbody#resource-desc").innerHTML = html; | |||
| }, | |||
| error(err) { | |||
| console.log(err); | |||
| }, | |||
| }); | |||
| })(); | |||
| </script> | |||