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80 lines
4.1 KiB
ReStructuredText
:original_name: modelarts_23_0050.html
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.. _modelarts_23_0050:
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Managing Visualization Jobs
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===========================
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You can create visualization jobs of TensorBoard and MindInsight types on ModelArts.
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TensorBoard supports training jobs based on the TensorFlow engine, and MindInsight supports training jobs based on the MindSpore engine.
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TensorBoard and MindInsight can effectively display the change trend of a training job and the data used in the training.
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You can use the **summary** file generated during model training to create a visualization job.
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Prerequisites
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-------------
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To ensure that the **summary** file is generated in the training result, you need to add the related code to the training script.
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- Using the TensorFlow engine:
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When using the TensorFlow-based MoXing, in **mox.run**, set **save_summary_steps>0** and **summary_verbosity>=1**.
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If you want to display other metrics, add tensors to **log_info** in the return value **mox.ModelSpec** of **model_fn**. Only the rank-0 tensors (scalars) are supported. The added tensors are written into the **summary** file. If you want to write tensors of higher ranks in the **summary** file, use the native **tf.summary** of TensorFlow in **model_fn**.
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- Using the MindSpore engine:
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MindSpore allows you to save data to the **summary** log file and display the data on the GUI. For details, see the `MindSpore official website <https://www.mindspore.cn/mindinsight/docs/en/master/summary_record.html>`__.
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Creating a Visualization Job
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----------------------------
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#. Log in to the ModelArts management console. In the left navigation pane, choose **Training Jobs**. On the displayed page, click the **Visualization Jobs** tab.
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#. In the upper left corner of the visualization job list, click **Create** to switch to the **Create Visualization Job** page.
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#. Set **Job Type** to **TensorBoard** and **MindInsight**. Enter the visualization job name and description as required, set the **Training Output Path** and **Auto Stop** parameters.
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- **Training Output Path**: Select the training output path specified when the training job is created.
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- **Auto Stop**: Enable or disable the auto stop function. The options are **1 hour later**, **2 hours later**, **4 hours later**, **6 hours later**, and **Custom**. If you select **Custom**, you can enter any integer within 1 to 24 hours in the textbox on the right.
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.. figure:: /_static/images/en-us_image_0000001110920888.png
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:alt: **Figure 1** Creating a visualization job
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**Figure 1** Creating a visualization job
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#. Click **Next**.
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#. After confirming the specifications, click **Next**.
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In the visualization job list, when the status changes to **Running**, the virtualization job has been created. You can click the name of the visualization job to view its details.
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Opening a Visualization Job
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---------------------------
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In the visualization job list, click the name of the target visualization job. The **TensorBoard** page is displayed. Only the visualization job in the **Running** status can be opened.
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.. figure:: /_static/images/en-us_image_0000001110760988.jpg
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:alt: **Figure 2** TensorBoard page
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**Figure 2** TensorBoard page
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Running or Stopping a Visualization Job
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---------------------------------------
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- **Stopping a visualization job**: You can stop a running visualization job to stop billing when it is no longer needed. In the visualization job list, click **Stop** in the **Operation** column to stop the visualization job.
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- **Running a visualization job**: You can run and use a visualization job in the **Canceled** status again. In the visualization job list, click **Run** in the **Operation** column to run the visualization job.
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Deleting a Visualization Job
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----------------------------
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If your visualization job is no longer used, you can delete it to release resources. In the visualization job list, click **Delete** in the **Operation** column to delete the visualization job.
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.. note::
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A deleted visualized job cannot be recovered. You need to create a new visualization job if you want to use it. Exercise caution when performing this operation.
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