Changes to ma_umn from docs/doc-exports#232 (Another series of conversion fixes

- address duplicated anchor in RDS UMN - address new escape sequences) Reviewed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com> Co-authored-by: proposalbot <proposalbot@otc-service.com> Co-committed-by: proposalbot <proposalbot@otc-service.com>
2022-09-27 11:51:33 +00:00 · 2022-09-27 11:51:33 +00:00 · c1a70e0d9b
commit c1a70e0d9b
parent 0cce06073a
85 changed files with 35 additions and 261 deletions
--- a/umn/source/audit_logs/viewing_audit_logs.rst
+++ b/umn/source/audit_logs/viewing_audit_logs.rst
@ -41,6 +41,4 @@ Procedure
   For details about the key fields in the CTS trace structure, see `Cloud Trace Service User Guide <https://docs.otc.t-systems.com/en-us/usermanual/cts/en-us_topic_0030579718.html>`__.

 .. |image1| image:: /_static/images/en-us_image_0000001157080769.png
-
 .. |image2| image:: /_static/images/en-us_image_0000001157080767.png
-
--- a/umn/source/custom_images/creating_and_uploading_a_custom_image.rst
+++ b/umn/source/custom_images/creating_and_uploading_a_custom_image.rst
@ -17,7 +17,6 @@ ModelArts allows you to use custom images to create training jobs and import mod

 .. _modelarts_23_0085__en-us_topic_0171858297_section125639162589:

-.. _creating-and-uploading-a-custom-image-1:

 Creating and Uploading a Custom Image
 -------------------------------------
--- a/umn/source/custom_images/for_importing_models/importing_a_model_using_a_custom_image.rst
+++ b/umn/source/custom_images/for_importing_models/importing_a_model_using_a_custom_image.rst
@ -34,4 +34,3 @@ After a model is successfully imported using a custom image, that is, the model
 You can deploy models as real-time or batch services based on the business logic of your custom image. The procedure for deploying a model imported using other methods is the same as that for deploying a model imported using a custom image. For details, see :ref:`Introduction to Model Deployment <modelarts_23_0058>`.

 .. |image1| image:: /_static/images/en-us_image_0000001156920767.png
-
--- a/umn/source/custom_images/for_training_models/creating_a_training_job_using_a_custom_image_gpu.rst
+++ b/umn/source/custom_images/for_training_models/creating_a_training_job_using_a_custom_image_gpu.rst
@ -24,7 +24,6 @@ Log in to the ModelArts management console and create a training job according t

   -  **Image Path**: SWR URL after the image is uploaded to SWR

-      .. _modelarts_23_0087__en-us_topic_0171858299_fig1610311596365:

      .. figure:: /_static/images/en-us_image_0000001156920769.png
         :alt: **Figure 1** SWR image address
--- a/umn/source/data_management/creating_a_dataset.rst
+++ b/umn/source/data_management/creating_a_dataset.rst
@ -22,7 +22,6 @@ Procedure

   a. Set the basic information, the name and description of the dataset.

-      .. _modelarts_23_0004__en-us_topic_0170886809_fig17294143617510:

      .. figure:: /_static/images/en-us_image_0000001157080905.png
         :alt: **Figure 1** Basic information about a dataset
@ -32,7 +31,6 @@ Procedure

   b. Select a labeling scene and type as required. For details about the types supported by ModelArts, see :ref:`Dataset Types <modelarts_23_0003__en-us_topic_0171496996_section51771731153811>`.

-      .. _modelarts_23_0004__fig5631646153415:

      .. figure:: /_static/images/en-us_image_0000001340184197.png
         :alt: **Figure 2** Selecting a labeling scene and type
@ -56,7 +54,6 @@ Procedure
 Images (Image Classification, Object Detection, )
 -------------------------------------------------

-.. _modelarts_23_0004__fig28510434351:

 .. figure:: /_static/images/en-us_image_0000001340265309.png
   :alt: **Figure 3** Parameters of datasets for image classification and object detection
@ -99,7 +96,6 @@ Images (Image Classification, Object Detection, )
 Audio (Sound Classification, Speech Labeling, and Speech Paragraph Labeling)
 ----------------------------------------------------------------------------

-.. _modelarts_23_0004__en-us_topic_0170886809_fig107351821153417:

 .. figure:: /_static/images/en-us_image_0000001157080903.png
   :alt: **Figure 4** Parameters of datasets for sound classification, speech labeling, and speech paragraph labeling
@ -148,7 +144,6 @@ Audio (Sound Classification, Speech Labeling, and Speech Paragraph Labeling)
 Text (Text Classification, Named Entity Recognition, and Text Triplet)
 ----------------------------------------------------------------------

-.. _modelarts_23_0004__en-us_topic_0170886809_fig13128845173710:

 .. figure:: /_static/images/en-us_image_0000001110920960.png
   :alt: **Figure 5** Parameters of datasets for text classification, named entity recognition, and text triplet
@ -200,7 +195,6 @@ Text (Text Classification, Named Entity Recognition, and Text Triplet)
 Other (Free Format)
 -------------------

-.. _modelarts_23_0004__en-us_topic_0170886809_fig1957792145712:

 .. figure:: /_static/images/en-us_image_0000001156920933.png
   :alt: **Figure 6** Parameters of datasets of the free format type
@ -223,4 +217,3 @@ Other (Free Format)
   +-----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

 .. |image1| image:: /_static/images/en-us_image_0000001156920935.png
-
--- a/umn/source/data_management/exporting_data.rst
+++ b/umn/source/data_management/exporting_data.rst
@ -33,7 +33,6 @@ Exporting Data to a New Dataset

   On the dataset details page, select or filter data to be exported. Click **Export To** and choose **New Dataset** from the drop-down list.

-   .. _modelarts_23_0214__en-us_topic_0209632492_fig159113538243:

   .. figure:: /_static/images/en-us_image_0000001278010765.png
      :alt: **Figure 1** Selecting or filtering images to be exported
@ -51,7 +50,6 @@ Exporting Data to a New Dataset

   **Export Content**: The options are **Export the selected samples** and **Export all samples meeting filtering criteria**.

-   .. _modelarts_23_0214__en-us_topic_0209632492_fig27297149260:

   .. figure:: /_static/images/en-us_image_0000001298006289.png
      :alt: **Figure 2** Exporting to a new dataset
@ -78,7 +76,6 @@ Exporting Data to OBS

   On the dataset details page, select or filter data to be exported. Click **Export To** and choose **OBS** from the drop-down list.

-   .. _modelarts_23_0214__fig1759015234918:

   .. figure:: /_static/images/en-us_image_0000001251806154.png
      :alt: **Figure 3** Selecting or filtering images to be exported
@ -92,7 +89,6 @@ Exporting Data to OBS

   **Export Content**: The options are **Export the selected samples** and **Export all samples meeting filtering criteria**.

-   .. _modelarts_23_0214__en-us_topic_0209632492_fig113474264283:

   .. figure:: /_static/images/en-us_image_0000001251646390.png
      :alt: **Figure 4** Exporting to OBS
--- a/umn/source/data_management/importing_data/import_operation.rst
+++ b/umn/source/data_management/importing_data/import_operation.rst
@ -79,7 +79,6 @@ The parameters on the GUI for data import vary according to the dataset type. Th

 #. In the **Import** dialog box, set **Import Mode** to **OBS path** and set **OBS path** to the path for storing data. Then click **OK**.

-   .. _modelarts_23_0006__en-us_topic_0171025430_fig1391710401912:

   .. figure:: /_static/images/en-us_image_0000001233970650.png
      :alt: **Figure 1** Importing the dataset to an OBS path
@ -107,7 +106,6 @@ The parameters on the GUI for data import vary according to the dataset type. Th
   -  **Import by Label**: The system automatically obtains the labels of the dataset. You can click **Add Label** to add a label or click the deletion icon on the right to delete a label. This field is optional. After importing a dataset, you can add or delete labels during data labeling.
   -  **Import labels**: If this parameter is selected, the labels defined in the manifest file are imported to the ModelArts dataset.

-   .. _modelarts_23_0006__en-us_topic_0171025430_fig1260617211526:

   .. figure:: /_static/images/en-us_image_0000001234129946.png
      :alt: **Figure 2** Importing the dataset
--- a/umn/source/data_management/introduction_to_data_management.rst
+++ b/umn/source/data_management/introduction_to_data_management.rst
@ -36,7 +36,6 @@ ModelArts supports datasets of images, audio, text, and other types for the foll

   -  Free format: manages data in any format. Labeling is not available for data of the free format type. The free format type is applicable to scenarios where labeling is not required or developers customize labeling. If your dataset needs to contain data in multiple formats or your data format does not meet the requirements of other types of datasets, you can select a dataset in free format.

-      .. _modelarts_23_0003__en-us_topic_0171496996_fig594265714140:

      .. figure:: /_static/images/en-us_image_0000001156920919.png
         :alt: **Figure 1** Example of a dataset in free format
--- a/umn/source/data_management/labeling_data/image_classification.rst
+++ b/umn/source/data_management/labeling_data/image_classification.rst
@ -65,7 +65,6 @@ The dataset details page displays images on the **All**, **Labeled**, and **Unla

   b. Confirm the **Labels of Selected Image** information and click **OK**. The selected image is automatically moved to the **Labeled** tab page. On the **Unlabeled** and **All** tab pages, the labeling information is updated along with the labeling process, including the added label names and the number of images for each label.

-   .. _modelarts_23_0011__en-us_topic_0170889731_fig131815433480:

   .. figure:: /_static/images/en-us_image_0000001110761138.png
      :alt: **Figure 1** Adding labels
@ -91,7 +90,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.

   Deleting a label: In the **File Labels** area, click the delete icon in the **Operation** column to delete the label. This operation deletes only the labels added to the selected image.

-   .. _modelarts_23_0011__en-us_topic_0170889731_fig8117163317534:

   .. figure:: /_static/images/en-us_image_0000001110921036.png
      :alt: **Figure 2** Modifying a label
@ -106,7 +104,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
   -  Modifying a label: Click the editing icon in the **Operation** column. In the dialog box that is displayed, enter the new label name and click **OK**. After the modification, the images that have been added with the label use the new label name.
   -  Deleting a label: Click the deletion icon in the **Operation** column. In the displayed dialog box, select **Delete label**, **Delete label and images with only the label (Do not delete source files)**, or **Delete label and images with only the label (Delete source files)**, and click **OK**.

-   .. _modelarts_23_0011__en-us_topic_0170889731_fig7533134312579:

   .. figure:: /_static/images/en-us_image_0000001156921013.png
      :alt: **Figure 3** Information about all labels
@ -127,7 +124,6 @@ In addition to automatically synchronizing data from **Input Dataset Path**, you

   After the images are selected, their thumbnails and sizes are displayed on the **Add** page.

-   .. _modelarts_23_0011__en-us_topic_0170889731_fig84261928608:

   .. figure:: /_static/images/en-us_image_0000001156920963.png
      :alt: **Figure 4** Adding images
--- a/umn/source/data_management/labeling_data/named_entity_recognition.rst
+++ b/umn/source/data_management/labeling_data/named_entity_recognition.rst
@ -31,7 +31,6 @@ The dataset details page displays the labeled and unlabeled text files in the da

   You can repeat this operation to select objects and add labels to the objects.

-   .. _modelarts_23_0014__en-us_topic_0170889734_fig1281513105431:

   .. figure:: /_static/images/en-us_image_0000001157080991.png
      :alt: **Figure 1** Labeling for named entity recognition
@ -46,7 +45,6 @@ Adding Labels

 -  Adding labels on the **Unlabeled** tab page: Click the plus sign (+) next to **Label Set**. On the **Add Label** page that is displayed, add a label name, select a label color, and click **OK**.

-   .. _modelarts_23_0014__en-us_topic_0170889734_fig99911654448:

   .. figure:: /_static/images/en-us_image_0000001110921046.png
      :alt: **Figure 2** Adding a named entity label (1)
@ -56,7 +54,6 @@ Adding Labels

 -  Adding labels on the **Labeled** tab page: Click the plus sign (+) next to **All Labels**. On the **Add Label** page that is displayed, add a label name, select a label color, and click **OK**.

-   .. _modelarts_23_0014__en-us_topic_0170889734_fig542633694419:

   .. figure:: /_static/images/en-us_image_0000001110921048.png
      :alt: **Figure 3** Adding a named entity label (2)
@ -64,7 +61,6 @@ Adding Labels

      **Figure 3** Adding a named entity label (2)

-   .. _modelarts_23_0014__en-us_topic_0170889734_fig2357151414455:

   .. figure:: /_static/images/en-us_image_0000001110921044.png
      :alt: **Figure 4** Adding a named entity label
@ -108,7 +104,6 @@ In addition to automatically synchronizing data from **Input Dataset Path**, you

   Select one or more files to be uploaded in the local environment. Only **.txt** and **.csv** files are supported. The total size of files uploaded at a time cannot exceed 8 MB.

-   .. _modelarts_23_0014__en-us_topic_0170889734_fig4494454154518:

   .. figure:: /_static/images/en-us_image_0000001157080995.png
      :alt: **Figure 5** Adding files
@ -129,4 +124,3 @@ You can quickly delete the files you want to discard.
 The background of the selected text is blue.

 .. |image1| image:: /_static/images/en-us_image_0000001110761148.png
-
--- a/umn/source/data_management/labeling_data/object_detection.rst
+++ b/umn/source/data_management/labeling_data/object_detection.rst
@ -83,7 +83,6 @@ The dataset details page provides the **Labeled** and **Unlabeled** tabs. The **

   Label all objects in an image. Multiple labels can be added to an image. After labeling an image, you can click the image list below the image to quickly select other images that are not labeled and label them on the labeling page.

-   .. _modelarts_23_0012__fig7712133716711:

   .. figure:: /_static/images/en-us_image_0000001211469369.png
      :alt: **Figure 1** Adding an object detection label
@ -141,7 +140,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.

      After deleting the label, click **Back to Data Labeling Preview** in the upper left corner of the page to exit the labeling page. In the dialog box that is displayed, save the modification. After all labels of an image are deleted, the image is displayed on the **Unlabeled** tab page.

-      .. _modelarts_23_0012__fig1258151315813:

      .. figure:: /_static/images/en-us_image_0000001211469623.png
         :alt: **Figure 2** Editing an object detection label
@ -156,7 +154,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
   -  Modifying a label: Click the edit icon in the **Operation** column. In the dialog box that is displayed, enter the new label name, select the new label color, and click **OK**. After the modification, the images that have been added with the label use the new label name.
   -  Deleting a label: Click the deletion icon in the **Operation** column to delete a label.

-   .. _modelarts_23_0012__fig08311511694:

   .. figure:: /_static/images/en-us_image_0000001166069824.png
      :alt: **Figure 3** All labels for object detection
@ -177,7 +174,6 @@ In addition to the data automatically synchronized from **Input Dataset Path**,

   After the images are selected, their thumbnails and total size are displayed on the **Add** page.

-   .. _modelarts_23_0012__en-us_topic_0170889732_en-us_topic_0170889731_fig84261928608:

   .. figure:: /_static/images/en-us_image_0000001156920963.png
      :alt: **Figure 4** Adding images
@ -203,62 +199,32 @@ If a tick is displayed in the upper left corner of an image, the image is select
   If you select **Delete source files**, images stored in the OBS directory will be deleted accordingly. This operation may affect other dataset versions or datasets using those files, for example, leading to an error in page display, training, or inference. Deleted data cannot be recovered. Exercise caution when performing this operation.

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--- a/umn/source/data_management/labeling_data/sound_classification.rst
+++ b/umn/source/data_management/labeling_data/sound_classification.rst
@ -51,7 +51,6 @@ The dataset details page displays the labeled and unlabeled audio files. The **U

      Each label has a shortcut key. A shortcut key cannot be specified for different labels. Shortcut keys can greatly improve the labeling efficiency.

-   .. _modelarts_23_0015__en-us_topic_0170889735_fig4264182145418:

   .. figure:: /_static/images/en-us_image_0000001110761046.png
      :alt: **Figure 1** Adding an audio label
@ -80,7 +79,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.

   On the dataset details page, click the **Labeled** tab. The information about all labels is displayed on the right.

-   .. _modelarts_23_0015__en-us_topic_0170889735_fig15568123335413:

   .. figure:: /_static/images/en-us_image_0000001110761048.png
      :alt: **Figure 2** Information about all labels
@ -120,4 +118,3 @@ If a tick is displayed in the upper right corner of an audio file, the audio fil
   If you select **Delete source files**, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.

 .. |image1| image:: /_static/images/en-us_image_0000001157080893.png
-
--- a/umn/source/data_management/labeling_data/speech_labeling.rst
+++ b/umn/source/data_management/labeling_data/speech_labeling.rst
@ -36,7 +36,6 @@ The dataset details page displays the labeled and unlabeled audio files. The **U

 #. After entering the content, click **OK** to complete the labeling. The audio file is automatically moved to the **Labeled** tab page.

-   .. _modelarts_23_0016__en-us_topic_0170889736_fig515472935613:

   .. figure:: /_static/images/en-us_image_0000001157080861.png
      :alt: **Figure 1** Labeling an audio file
@ -83,4 +82,3 @@ On the **Unlabeled** or **Labeled** tab page, select the audio files to be delet
   If you select **Delete source files**, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.

 .. |image1| image:: /_static/images/en-us_image_0000001110761012.png
-
--- a/umn/source/data_management/labeling_data/speech_paragraph_labeling.rst
+++ b/umn/source/data_management/labeling_data/speech_paragraph_labeling.rst
@ -34,7 +34,6 @@ The dataset details page displays the labeled and unlabeled audio files. The **U

 #. Select an audio segment based on the content being played, and enter the audio file label and content in the **Speech Content** text box.

-   .. _modelarts_23_0017__en-us_topic_0170889737_fig17146158195818:

   .. figure:: /_static/images/en-us_image_0000001157080967.png
      :alt: **Figure 1** Labeling an audio file
@ -84,6 +83,4 @@ On the **Unlabeled** or **Labeled** tab page, select the audio files to be delet
   If you select **Delete source files**, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.

 .. |image1| image:: /_static/images/en-us_image_0000001110761012.png
-
 .. |image2| image:: /_static/images/en-us_image_0000001156920989.png
-
--- a/umn/source/data_management/labeling_data/text_classification.rst
+++ b/umn/source/data_management/labeling_data/text_classification.rst
@ -34,7 +34,6 @@ The dataset details page displays the labeled and unlabeled text files in the da

   You can repeat this operation to select objects and add labels to the objects.

-   .. _modelarts_23_0013__en-us_topic_0170889733_fig683344215383:

   .. figure:: /_static/images/en-us_image_0000001157080753.png
      :alt: **Figure 1** Labeling for text classification
@ -49,7 +48,6 @@ Adding Labels

 -  Adding labels on the **Unlabeled** tab page: Click the plus sign (+) next to **Label Set**. On the **Add Label** page that is displayed, add a label name, select a label color, and click **OK**.

-   .. _modelarts_23_0013__en-us_topic_0170889733_fig9150218153914:

   .. figure:: /_static/images/en-us_image_0000001156920783.png
      :alt: **Figure 2** Adding a label (1)
@ -59,7 +57,6 @@ Adding Labels

 -  Adding labels on the **Labeled** tab page: Click the plus sign (+) next to **All Labels**. On the **Add Label** page that is displayed, add a label name, select a label color, and click **OK**.

-   .. _modelarts_23_0013__en-us_topic_0170889733_fig10130856193910:

   .. figure:: /_static/images/en-us_image_0000001110920808.png
      :alt: **Figure 3** Adding a label (2)
@ -67,7 +64,6 @@ Adding Labels

      **Figure 3** Adding a label (2)

-   .. _modelarts_23_0013__en-us_topic_0170889733_fig0843225124011:

   .. figure:: /_static/images/en-us_image_0000001110760914.png
      :alt: **Figure 4** Adding a label
@ -126,4 +122,3 @@ You can quickly delete the files you want to discard.
 The background of the selected text is blue.

 .. |image1| image:: /_static/images/en-us_image_0000001110760908.png
-
--- a/umn/source/data_management/labeling_data/text_triplet.rst
+++ b/umn/source/data_management/labeling_data/text_triplet.rst
@ -19,7 +19,6 @@ Before labeling, ensure that the **Entity Label** and **Relationship Label** of

 For example, if two entities are labeled as **Place**, you cannot add any relationship label between them. If a relationship label cannot be added, a red cross is displayed.

-.. _modelarts_23_0211__en-us_topic_0209128667_fig145576513485:

 .. figure:: /_static/images/en-us_image_0000001157080821.png
   :alt: **Figure 1** Example of entity and relationship labels
@ -27,7 +26,6 @@ For example, if two entities are labeled as **Place**, you cannot add any relati

   **Figure 1** Example of entity and relationship labels

-.. _modelarts_23_0211__en-us_topic_0209128667_fig656185315485:

 .. figure:: /_static/images/en-us_image_0000001157080819.png
   :alt: **Figure 2** Failure of adding a relationship label
@ -55,7 +53,6 @@ The dataset details page displays the labeled and unlabeled text objects in the

 #. On the **Unlabeled** tab page, the objects to be labeled are listed in the left pane. In the list, click a text object, select the corresponding text content on the right pane, and select an entity name from the displayed entity list to label the content.

-   .. _modelarts_23_0211__en-us_topic_0209128667_fig845175419492:

   .. figure:: /_static/images/en-us_image_0000001156920847.png
      :alt: **Figure 3** Labeling an entity
@ -65,7 +62,6 @@ The dataset details page displays the labeled and unlabeled text objects in the

 #. After labeling multiple entities, click the source entity and target entity in sequence and select a relationship type from the displayed relationship list to label the relationship.

-   .. _modelarts_23_0211__en-us_topic_0209128667_fig1112651155015:

   .. figure:: /_static/images/en-us_image_0000001157080823.png
      :alt: **Figure 4** Labeling a relationship
@ -86,7 +82,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.

 On the dataset details page, click the **Labeled** tab. Select a text object in the left pane and the right pane displays the detailed label information. You can move your cursor to the entity or relationship label, and right-click to delete it. You can also click the source entity and target entity in sequence to add a relationship label.

-.. _modelarts_23_0211__en-us_topic_0209128667_fig1989017392518:

 .. figure:: /_static/images/en-us_image_0000001110760966.png
   :alt: **Figure 5** Modifying a label in the text
@ -96,7 +91,6 @@ On the dataset details page, click the **Labeled** tab. Select a text object in

 You can click **Delete Labels on Current Item** at the bottom of the page to delete all labels in the selected text object.

-.. _modelarts_23_0211__en-us_topic_0209128667_fig15856154165212:

 .. figure:: /_static/images/en-us_image_0000001110920872.png
   :alt: **Figure 6** Deleting current labels
@ -115,7 +109,6 @@ In addition to automatically synchronizing data from **Input Dataset Path**, you

   Select one or more files to be uploaded in the local environment. Only **.txt** and **.csv** files are supported. The total size of files uploaded at a time cannot exceed 8 MB.

-   .. _modelarts_23_0211__en-us_topic_0209128667_fig4494454154518:

   .. figure:: /_static/images/en-us_image_0000001156920843.png
      :alt: **Figure 7** Adding a file
--- a/umn/source/data_management/managing_dataset_versions.rst
+++ b/umn/source/data_management/managing_dataset_versions.rst
@ -18,7 +18,6 @@ Viewing Dataset Version Updates

   You can view basic information about the dataset, and view the versions and publish time on the left.

-   .. _modelarts_23_0019__en-us_topic_0170886813_fig9607133103715:

   .. figure:: /_static/images/en-us_image_0000001278250381.png
      :alt: **Figure 1** Viewing dataset versions
--- a/umn/source/data_management/modifying_a_dataset.rst
+++ b/umn/source/data_management/modifying_a_dataset.rst
@ -23,7 +23,6 @@ Modifying the Basic Information About a Dataset

 #. Modify basic information about the dataset and then click **OK**. Refer to :ref:`Table 1 <modelarts_23_0020__en-us_topic_0170886811_table151481125214>` for details.

-   .. _modelarts_23_0020__en-us_topic_0170886811_fig25501237113211:

   .. figure:: /_static/images/en-us_image_0000001233810770.png
      :alt: **Figure 1** Modifying a dataset
--- a/umn/source/data_management/publishing_a_dataset.rst
+++ b/umn/source/data_management/publishing_a_dataset.rst
@ -18,7 +18,6 @@ About Dataset Versions
 -  You can obtain the dataset in the manifest file format corresponding to each dataset version based on the value of **Storage Path**. The dataset can be used when you import data or filter hard examples.
 -  The version of a table dataset cannot be changed.

-.. _publishing-a-dataset-1:

 Publishing a Dataset
 --------------------
@ -55,7 +54,6 @@ Publishing a Dataset
      | Description                       | Description of the current dataset version.                                                                                                                                                                                                      |
      +-----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

-   .. _modelarts_23_0018__en-us_topic_0170886812_fig0400181520353:

   .. figure:: /_static/images/en-us_image_0000001277931137.png
      :alt: **Figure 1** Publishing a dataset
--- a/umn/source/data_management/team_labeling/introduction_to_team_labeling.rst
+++ b/umn/source/data_management/team_labeling/introduction_to_team_labeling.rst
@ -16,7 +16,6 @@ How to Enable Team Labeling

 -  When creating a dataset, enable **Team Labeling** and select a team or task manager.

-   .. _modelarts_23_0181__en-us_topic_0186456616_fig19662182219716:

   .. figure:: /_static/images/en-us_image_0000001278234781.png
      :alt: **Figure 1** Enabling during dataset creation
@ -26,7 +25,6 @@ How to Enable Team Labeling

 -  If team labeling is not enabled for a dataset that has been created, create a team labeling task to enable team labeling. For details about how to create a team labeling task, see :ref:`Creating Team Labeling Tasks <modelarts_23_0210__en-us_topic_0209053802_section72262410214>`.

-   .. _modelarts_23_0181__en-us_topic_0186456616_fig1943110322817:

   .. figure:: /_static/images/en-us_image_0000001156921451.png
      :alt: **Figure 2** Creating a team labeling task in a dataset list
@ -34,7 +32,6 @@ How to Enable Team Labeling

      **Figure 2** Creating a team labeling task in a dataset list

-   .. _modelarts_23_0181__en-us_topic_0186456616_fig183348421489:

   .. figure:: /_static/images/en-us_image_0000001110761582.png
      :alt: **Figure 3** Creating a team labeling task
@ -42,7 +39,6 @@ How to Enable Team Labeling

      **Figure 3** Creating a team labeling task

-   .. _modelarts_23_0181__en-us_topic_0186456616_fig1542082785810:

   .. figure:: /_static/images/en-us_image_0000001110761054.png
      :alt: **Figure 4** Creating a team labeling task on the dataset details page
--- a/umn/source/data_management/team_labeling/member_management.rst
+++ b/umn/source/data_management/team_labeling/member_management.rst
@ -26,7 +26,6 @@ Adding a Member

   Possible values of **Role** are **Labeler**, **Reviewer**, and **Team Manager**. Only one **Team Manager** can be set.

-   .. _modelarts_23_0183__en-us_topic_0186456618_fig2095294217492:

   .. figure:: /_static/images/en-us_image_0000001156920939.png
      :alt: **Figure 1** Adding a member
@ -34,7 +33,6 @@ Adding a Member

      **Figure 1** Adding a member

-   .. _modelarts_23_0183__en-us_topic_0186456618_fig2953352181118:

   .. figure:: /_static/images/en-us_image_0000001157081267.png
      :alt: **Figure 2** Adding a member
@ -68,7 +66,6 @@ Deleting Members

   In the **Team Details** area, select members to be deleted and click **Delete**. In the dialog box that is displayed, click **OK**.

-   .. _modelarts_23_0183__en-us_topic_0186456618_fig183691221125:

   .. figure:: /_static/images/en-us_image_0000001157080915.png
      :alt: **Figure 3** Batch deletion
--- a/umn/source/data_management/team_labeling/team_management.rst
+++ b/umn/source/data_management/team_labeling/team_management.rst
@ -24,7 +24,6 @@ Adding a Team

 #. In the displayed **Add Team** dialog box, enter a team name and description and click **OK**. The labeling team is added.

-   .. _modelarts_23_0182__en-us_topic_0186456617_fig16799194110102:

   .. figure:: /_static/images/en-us_image_0000001157080843.png
      :alt: **Figure 1** Adding a team
@ -41,7 +40,6 @@ You can delete a team that is no longer used.

 On the **Labeling Teams** page, select the target team and click **Delete**. In the dialog box that is displayed, click **OK**.

-.. _modelarts_23_0182__en-us_topic_0186456617_fig32602118112:

 .. figure:: /_static/images/en-us_image_0000001157080841.png
   :alt: **Figure 2** Deleting a team
--- a/umn/source/devenviron_notebook/managing_notebook_instances/creating_a_notebook_instance.rst
+++ b/umn/source/devenviron_notebook/managing_notebook_instances/creating_a_notebook_instance.rst
@ -16,7 +16,6 @@ Background
 -  If OBS storage is used, ensure that the OBS directory you use and ModelArts are in the same region.
 -  Before creating a notebook instance, learn about the :ref:`AI engines supported by ModelArts <modelarts_23_0033__en-us_topic_0162690357_section191109611479>` and their versions.

-.. _creating-a-notebook-instance-1:

 Creating a Notebook Instance
 ----------------------------
@ -27,7 +26,6 @@ Creating a Notebook Instance

   a. Enter the basic information about the notebook instance, including the name, description, and whether to automatically stop the notebook instance. For details about the parameters, see :ref:`Table 1 <modelarts_23_0034__en-us_topic_0162690358_table1669535791517>`.

-      .. _modelarts_23_0034__en-us_topic_0162690358_fig12309736151510:

      .. figure:: /_static/images/en-us_image_0000001156920885.png
         :alt: **Figure 1** Basic information about a notebook instance
--- a/umn/source/devenviron_notebook/managing_notebook_instances/opening_a_notebook_instance.rst
+++ b/umn/source/devenviron_notebook/managing_notebook_instances/opening_a_notebook_instance.rst
@ -18,7 +18,6 @@ Instance Opening

   In the notebook instance list, select the notebook instance to be opened and click **Open JupyterLab** in the **Operation** column.

-.. _modelarts_23_0325__en-us_topic_0266024073_fig12833914154415:

 .. figure:: /_static/images/en-us_image_0000001233650818.png
   :alt: **Figure 1** Opening a notebook instance
--- a/umn/source/devenviron_notebook/using_jupyter_notebook/common_operations_on_jupyter_notebook.rst
+++ b/umn/source/devenviron_notebook/using_jupyter_notebook/common_operations_on_jupyter_notebook.rst
@ -64,4 +64,3 @@ To delete a file or folder from Jupyter Notebook, select the file or folder in t
   After the file or folder is deleted, click the **Refresh** button in the upper right corner to refresh the Jupyter page and clear the cache.

 .. |image1| image:: /_static/images/en-us_image_0000001110920936.png
-
--- a/umn/source/devenviron_notebook/using_jupyter_notebook/configuring_the_jupyter_notebook_environment/switching_the_cuda_version_on_the_terminal_page_of_a_gpu-based_notebook_instance.rst
+++ b/umn/source/devenviron_notebook/using_jupyter_notebook/configuring_the_jupyter_notebook_environment/switching_the_cuda_version_on_the_terminal_page_of_a_gpu-based_notebook_instance.rst
@ -25,7 +25,6 @@ CPU-based notebook instances do not use CUDA. Therefore, the following operation

      sudo ln -snf /usr/local/cuda-10.0 cuda

-   .. _modelarts_23_0280__en-us_topic_0245881876_fig9219163419370:

   .. figure:: /_static/images/en-us_image_0000001156920929.png
      :alt: **Figure 1** Example of switching the CUDA version
--- a/umn/source/devenviron_notebook/using_jupyter_notebook/configuring_the_jupyter_notebook_environment/using_the_notebook_terminal_function.rst
+++ b/umn/source/devenviron_notebook/using_jupyter_notebook/configuring_the_jupyter_notebook_environment/using_the_notebook_terminal_function.rst
@ -24,7 +24,6 @@ You can switch to another AI engine environment in the terminal environment of J

 #. View **README** in the current directory to obtain your required information. For example, to switch to **TensorFlow-1.8**, run the **source /home/ma-user/anaconda3/bin/activate TensorFlow-1.8** command. To exist the environment, run the **source deactivate** command.

-   .. _modelarts_23_0117__en-us_topic_0190535990_fig161667313101:

   .. figure:: /_static/images/en-us_image_0000001110761076.png
      :alt: **Figure 1** Output after command execution
--- a/umn/source/devenviron_notebook/using_jupyter_notebook/synchronizing_files_with_obs.rst
+++ b/umn/source/devenviron_notebook/using_jupyter_notebook/synchronizing_files_with_obs.rst
@ -23,7 +23,6 @@ The Sync OBS function can be used in notebook instances. The following describes

 For example, if the **Example1.ipynb** file needs to call **module** in the **Example2.ipynb** file, select both files and click **Sync OBS**.

-.. _modelarts_23_0038__fig92701124202010:

 .. figure:: /_static/images/en-us_image_0000001251814444.png
   :alt: **Figure 1** Using the Sync OBS function
--- a/umn/source/devenviron_notebook/using_jupyter_notebook/using_the_convert_to_python_file_function.rst
+++ b/umn/source/devenviron_notebook/using_jupyter_notebook/using_the_convert_to_python_file_function.rst
@ -15,7 +15,6 @@ After code compiling is finished, you can save the entered code as a **.py** fil

   The generated **.py** file can be used to start ModelArts training jobs.

-   .. _modelarts_23_0037__en-us_topic_0164804632_fig598812270439:

   .. figure:: /_static/images/en-us_image_0000001156920943.png
      :alt: **Figure 1** Convert to Python File
@ -25,7 +24,6 @@ After code compiling is finished, you can save the entered code as a **.py** fil

 #. In the dialog box that is displayed, enter the file name as required, and select or deselect **Force overwrite if file already exists**. By default, the item is not selected, indicating that the file will not be overwritten when a file with the same name exists in the directory. Click **Convert**.

-   .. _modelarts_23_0037__en-us_topic_0164804632_fig857814328308:

   .. figure:: /_static/images/en-us_image_0000001110761072.png
      :alt: **Figure 2** Setting and saving the configuration
--- a/umn/source/devenviron_notebook/using_jupyterlab/introduction_to_jupyterlab_and_common_operations.rst
+++ b/umn/source/devenviron_notebook/using_jupyterlab/introduction_to_jupyterlab_and_common_operations.rst
@ -39,7 +39,6 @@ The AI framework supported by each notebook instance varies according to the wor

 After the file is created, the console page is displayed.

-.. _modelarts_23_0209__en-us_topic_0208766071_fig12167335121119:

 .. figure:: /_static/images/en-us_image_0000001110761020.png
   :alt: **Figure 1** Creating a notebook file (console)
@ -56,7 +55,6 @@ On the JupyterLab page, you can click **Upload File** in the upper left corner a

 The size of the file to be uploaded using this method is limited. If the file size exceeds the limit, use other methods to upload the file. For details, see :ref:`Uploading Data to JupyterLab <modelarts_23_0332>`.

-.. _modelarts_23_0209__en-us_topic_0208766071_fig162661614164017:

 .. figure:: /_static/images/en-us_image_0000001110920918.png
   :alt: **Figure 2** Uploading a file
@ -71,7 +69,6 @@ JupyterLab allows you to open multiple notebook instances or files (such as HTML

 Using JupyterLab, you can customize the display of multiple files. In the file display area on the right, you can drag a file to adjust its position. Multiple files can be concurrently displayed.

-.. _modelarts_23_0209__en-us_topic_0208766071_fig6301121132215:

 .. figure:: /_static/images/en-us_image_0000001157080869.png
   :alt: **Figure 3** Customized display of multiple files
@ -83,7 +80,6 @@ When writing code in a notebook instance, you can create multiple views of a fil

 To open multiple views, open the file and choose **File** > **New View for Notebook**.

-.. _modelarts_23_0209__en-us_topic_0208766071_fig9122203643213:

 .. figure:: /_static/images/en-us_image_0000001110920916.png
   :alt: **Figure 4** Multiple views of a file
@ -98,7 +94,6 @@ Files created in JupyterLab can be directly downloaded to a local computer. The

 In the JupyterLab file list, right-click the file to be downloaded and choose **Download** from the shortcut menu. The file is downloaded to the directory set for your browser.

-.. _modelarts_23_0209__en-us_topic_0208766071_fig115128616340:

 .. figure:: /_static/images/en-us_image_0000001157080879.png
   :alt: **Figure 5** Downloading a file
@ -109,7 +104,6 @@ In the JupyterLab file list, right-click the file to be downloaded and choose **
 Common Icons and Plug-ins of JupyterLab
 ---------------------------------------

-.. _modelarts_23_0209__en-us_topic_0208766071_fig18661212194314:

 .. figure:: /_static/images/en-us_image_0000001110761018.png
   :alt: **Figure 6** Common icons and plug-ins of JupyterLab
@ -150,42 +144,22 @@ Common Icons and Plug-ins of JupyterLab
   +-----------+-------------------------------------------------------------------------------------------------------+

 .. |image1| image:: /_static/images/en-us_image_0000001110920920.png
-
 .. |image2| image:: /_static/images/en-us_image_0000001157080875.png
-
 .. |image3| image:: /_static/images/en-us_image_0000001156920903.png
-
 .. |image4| image:: /_static/images/en-us_image_0000001156920893.png
-
 .. |image5| image:: /_static/images/en-us_image_0000001110920920.png
-
 .. |image6| image:: /_static/images/en-us_image_0000001157080875.png
-
 .. |image7| image:: /_static/images/en-us_image_0000001156920903.png
-
 .. |image8| image:: /_static/images/en-us_image_0000001156920893.png
-
 .. |image9| image:: /_static/images/en-us_image_0000001110920934.png
-
 .. |image10| image:: /_static/images/en-us_image_0000001110761016.png
-
 .. |image11| image:: /_static/images/en-us_image_0000001157080873.png
-
 .. |image12| image:: /_static/images/en-us_image_0000001156920899.png
-
 .. |image13| image:: /_static/images/en-us_image_0000001156920901.png
-
 .. |image14| image:: /_static/images/en-us_image_0000001156920887.png
-
 .. |image15| image:: /_static/images/en-us_image_0000001110920934.png
-
 .. |image16| image:: /_static/images/en-us_image_0000001110761016.png
-
 .. |image17| image:: /_static/images/en-us_image_0000001157080873.png
-
 .. |image18| image:: /_static/images/en-us_image_0000001156920899.png
-
 .. |image19| image:: /_static/images/en-us_image_0000001156920901.png
-
 .. |image20| image:: /_static/images/en-us_image_0000001156920887.png
-
--- a/umn/source/devenviron_notebook/using_jupyterlab/synchronizing_files_with_obs.rst
+++ b/umn/source/devenviron_notebook/using_jupyterlab/synchronizing_files_with_obs.rst
@ -23,7 +23,6 @@ The Sync OBS function can be used in JupyterLab. The following describes how to

 For example, **Example-1.ipynb** needs to invoke **module** in **Example-2.ipynb**. In **File Browser** on the left, select the two **.ipynb** files and click **Sync OBS**. In the dialog box that is displayed, click **YES** to complete synchronization. After the synchronization is successful, the code can be called mutually.

-.. _modelarts_23_0336__en-us_topic_0266024085_fig17711655124220:

 .. figure:: /_static/images/en-us_image_0000001110761312.png
   :alt: **Figure 1** Using the Sync OBS function
--- a/umn/source/exeml/image_classification/deploying_a_model_as_a_service.rst
+++ b/umn/source/exeml/image_classification/deploying_a_model_as_a_service.rst
@ -20,7 +20,6 @@ You can deploy a model as a real-time service that provides a real-time test UI

   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 from 1 to 24 hours in the text box on the right.

-   .. _modelarts_21_0007__en-us_topic_0284258836_en-us_topic_0169446156_fig65852182313:

   .. figure:: /_static/images/en-us_image_0000001156920879.png
      :alt: **Figure 1** Deploying a model
--- a/umn/source/exeml/image_classification/labeling_data.rst
+++ b/umn/source/exeml/image_classification/labeling_data.rst
@ -17,7 +17,6 @@ Labeling Images
   a. You can add multiple labels to an image.
   b. A label name can contain a maximum of 32 characters, including Chinese characters, letters, digits, hyphens (-), and underscores (_).

-   .. _modelarts_21_0005__en-us_topic_0284258834_en-us_topic_0169446154_fig131815433480:

   .. figure:: /_static/images/en-us_image_0000001110760930.png
      :alt: **Figure 1** Adding a label
@ -53,7 +52,6 @@ After labeling data, you can modify the labeled data on the **Labeled** tab page

   -  Modifying a label: In the **File Labels** area, click the editing icon in the **Operation** column, enter the correct label name in the text box, and click the check mark icon to complete the modification.

-      .. _modelarts_21_0005__en-us_topic_0284258834_en-us_topic_0169446154_fig8117163317534:

      .. figure:: /_static/images/en-us_image_0000001157080781.png
         :alt: **Figure 2** Modifying a label
@ -67,7 +65,6 @@ After labeling data, you can modify the labeled data on the **Labeled** tab page

   On the dataset labeling page, click the **Labeled** tab. The information about all labels is displayed on the right.

-   .. _modelarts_21_0005__en-us_topic_0284258834_en-us_topic_0169446154_fig7533134312579:

   .. figure:: /_static/images/en-us_image_0000001157080783.png
      :alt: **Figure 3** Information about all labels
@ -79,4 +76,3 @@ After labeling data, you can modify the labeled data on the **Labeled** tab page
   -  Deleting a label: Click the deletion icon in the **Operation** column. In the displayed dialog box, select **Delete label**, **Delete label and images with only the label (Do not delete source files)**, or **Delete label and images with only the label (Delete source files)**, and click **OK**.

 .. |image1| image:: /_static/images/en-us_image_0000001110760936.png
-
--- a/umn/source/exeml/image_classification/training_a_model.rst
+++ b/umn/source/exeml/image_classification/training_a_model.rst
@ -14,7 +14,6 @@ Procedure

 #. On the **Label Data** tab page, click **Train** in the upper right corner. In the displayed **Training Configuration** dialog box, set related parameters. :ref:`Table 1 <modelarts_21_0006__en-us_topic_0284258835_en-us_topic_0169446155_table56110116164>` describes the parameters.

-   .. _modelarts_21_0006__en-us_topic_0284258835_en-us_topic_0169446155_fig162101622135815:

   .. figure:: /_static/images/en-us_image_0000001157080771.png
      :alt: **Figure 1** Setting training parameters
--- a/umn/source/exeml/object_detection/deploying_a_model_as_a_service.rst
+++ b/umn/source/exeml/object_detection/deploying_a_model_as_a_service.rst
@ -20,7 +20,6 @@ You can deploy a model as a real-time service that provides a real-time test UI

   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 from 1 to 24 hours in the text box on the right.

-   .. _modelarts_21_0013__en-us_topic_0284258842_en-us_topic_0169446262_en-us_topic_0169446156_fig65852182313:

   .. figure:: /_static/images/en-us_image_0000001156920879.png
      :alt: **Figure 1** Deploying a model
--- a/umn/source/exeml/object_detection/labeling_data.rst
+++ b/umn/source/exeml/object_detection/labeling_data.rst
@ -55,7 +55,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.

      After the label is deleted, click the project name in the upper left corner of the page to exit the labeling page. The image will be returned to the **Unlabeled** tab page.

-      .. _modelarts_21_0011__fig1654311814413:

      .. figure:: /_static/images/en-us_image_0000001211311199.png
         :alt: **Figure 1** Editing an object detection label
@ -67,7 +66,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.

   On the dataset details page, click the **Labeled** tab. The information about all labels is displayed on the right.

-   .. _modelarts_21_0011__fig154616251559:

   .. figure:: /_static/images/en-us_image_0000001211308579.png
      :alt: **Figure 2** All labels for object detection
--- a/umn/source/exeml/object_detection/training_a_model.rst
+++ b/umn/source/exeml/object_detection/training_a_model.rst
@ -14,7 +14,6 @@ Procedure

 #. On the **Label Data** tab page, click **Train** in the upper right corner. In the displayed **Training Configuration** dialog box, set related parameters. :ref:`Table 1 <modelarts_21_0012__en-us_topic_0284258841_en-us_topic_0169446261_table56110116164>` describes the parameters.

-   .. _modelarts_21_0012__en-us_topic_0284258841_en-us_topic_0169446261_fig162101622135815:

   .. figure:: /_static/images/en-us_image_0000001157080807.png
      :alt: **Figure 1** Setting training parameters
--- a/umn/source/exeml/predictive_analytics/deploying_a_model_as_a_service.rst
+++ b/umn/source/exeml/predictive_analytics/deploying_a_model_as_a_service.rst
@ -22,7 +22,6 @@ You can deploy a model as a real-time service that provides a real-time test UI

      Currently, 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 from 1 to 24 hours in the text box on the right.

-   .. _modelarts_21_0019__en-us_topic_0169446268_fig1128512054316:

   .. figure:: /_static/images/en-us_image_0000001297768593.png
      :alt: **Figure 1** Deploying a service
--- a/umn/source/exeml/predictive_analytics/selecting_a_label_column.rst
+++ b/umn/source/exeml/predictive_analytics/selecting_a_label_column.rst
@ -14,7 +14,6 @@ Procedure

   The label column is the output of an inference model. The training objective here is to determine whether the customer will apply for a deposit (that is, **attr_7**). Set **Label Column Data Type** to **Discrete value**. After the training objective is specified, click **Train**.

-   .. _modelarts_21_0017__en-us_topic_0169446266_fig933116144116:

   .. figure:: /_static/images/en-us_image_0000001251249066.png
      :alt: **Figure 1** Data labeling page of a predictive analytics project
--- a/umn/source/exeml/predictive_analytics/training_a_model.rst
+++ b/umn/source/exeml/predictive_analytics/training_a_model.rst
@ -16,7 +16,6 @@ Procedure

   The training takes a certain period of time. If you close or exit the page, the system continues training until it is complete.

-   .. _modelarts_21_0018__en-us_topic_0169446267_fig7647103812555:

   .. figure:: /_static/images/en-us_image_0000001297768589.png
      :alt: **Figure 1** Training configuration
@ -88,4 +87,3 @@ Evaluation result display modes vary according to training data types.
   The evaluation values are **MAE**, **MSE**, and **RMSE**. The three error values can represent a difference between a real value and a predicted value. During multiple rounds of modeling, a group of error values is generated for each round of modeling. The method of checking whether a model is good is to check whether the three error values become smaller or larger. A smaller error value indicates a better model.

 .. |image1| image:: /_static/images/en-us_image_0000001297649133.png
-
--- a/umn/source/exeml/tips/how_do_i_perform_incremental_training_in_an_exeml_project.rst
+++ b/umn/source/exeml/tips/how_do_i_perform_incremental_training_in_an_exeml_project.rst
@ -27,7 +27,6 @@ Incremental Training Procedure

   After the settings are complete, click **Yes** to start incremental training. The system automatically switches to the **Train Model** page. After the training is complete, you can view the training details, such as training precision, evaluation result, and training parameters.

-   .. _modelarts_21_0033__en-us_topic_0284258864_en-us_topic_0219614205_en-us_topic_0201206525_fig13813162531912:

   .. figure:: /_static/images/en-us_image_0000001110761050.png
      :alt: **Figure 1** Selecting an incremental training version
--- a/umn/source/exeml/tips/how_do_i_quickly_create_an_obs_bucket_and_a_folder_when_creating_a_project.rst
+++ b/umn/source/exeml/tips/how_do_i_quickly_create_an_obs_bucket_and_a_folder_when_creating_a_project.rst
@ -11,7 +11,6 @@ When creating a project, select a training data path. This section describes how

 #. Click **Create Bucket**. The **Create Bucket** page is displayed. For details about how to create a bucket, see `Creating a Bucket <https://docs.otc.t-systems.com/en-us/usermanual/obs/obs_03_0306.html>`__ in the *Object Storage Service Console Operation Guide*.

-   .. _modelarts_21_0031__fig137124138322:

   .. figure:: /_static/images/en-us_image_0000001297638913.png
      :alt: **Figure 1** Creating an OBS bucket
@ -27,4 +26,3 @@ When creating a project, select a training data path. This section describes how
   -  Any single slash (/) separates and creates multiple levels of folders at once.

 .. |image1| image:: /_static/images/en-us_image_0000001157080897.png
-
--- a/umn/source/exeml/tips/how_do_i_view_the_added_data_in_an_exeml_project.rst
+++ b/umn/source/exeml/tips/how_do_i_view_the_added_data_in_an_exeml_project.rst
@ -18,7 +18,6 @@ Obtaining the Data Source of an ExeML Project

      For a predictive analytics project, the data source is an OBS path, not a dataset. For other types of ExeML projects, the data source is a dataset.

-   .. _modelarts_21_0032__en-us_topic_0284258863_en-us_topic_0219614204_fig15937339112619:

   .. figure:: /_static/images/en-us_image_0000001156920911.png
      :alt: **Figure 1** Viewing the data storage path
--- a/umn/source/exeml/tips/where_are_models_generated_by_exeml_stored_what_other_operations_are_supported.rst
+++ b/umn/source/exeml/tips/where_are_models_generated_by_exeml_stored_what_other_operations_are_supported.rst
@ -14,7 +14,6 @@ For an ExeML project, after the model training is complete, the generated model

   Models generated by ExeML cannot be downloaded.

-.. _modelarts_21_0034__en-us_topic_0284258865_en-us_topic_0219645514_fig32239277160:

 .. figure:: /_static/images/en-us_image_0000001110760900.png
   :alt: **Figure 1** Models generated by ExeML
--- a/umn/source/faqs/exeml/how_do_i_perform_incremental_training_in_an_exeml_project.rst
+++ b/umn/source/faqs/exeml/how_do_i_perform_incremental_training_in_an_exeml_project.rst
@ -27,7 +27,6 @@ Incremental Training Procedure

   After the settings are complete, click **Yes** to start incremental training. The system automatically switches to the **Train Model** page. After the training is complete, you can view the training details, such as training precision, evaluation result, and training parameters.

-   .. _modelarts_21_0060__en-us_topic_0201206525_fig13813162531912:

   .. figure:: /_static/images/en-us_image_0000001279536749.png
      :alt: **Figure 1** Selecting an incremental training version
--- a/umn/source/faqs/notebook/how_do_i_enable_the_terminal_function_in_devenviron_of_modelarts.rst
+++ b/umn/source/faqs/notebook/how_do_i_enable_the_terminal_function_in_devenviron_of_modelarts.rst
@ -11,7 +11,6 @@ How Do I Enable the Terminal Function in DevEnviron of ModelArts?

 #. On the **Files** tab page of the Jupyter page, click **New** and select **Terminal**. The **Terminal** page is displayed.

-   .. _modelarts_05_0071__en-us_topic_0000001096866491_en-us_topic_0285164851_en-us_topic_0198006089_fig18352418612:

   .. figure:: /_static/images/en-us_image_0000001110760910.png
      :alt: **Figure 1** Going to the **Terminal** page
--- a/umn/source/faqs/notebook/how_do_i_install_external_libraries_in_a_notebook_instance.rst
+++ b/umn/source/faqs/notebook/how_do_i_install_external_libraries_in_a_notebook_instance.rst
@ -39,7 +39,6 @@ For example, use **pip** to install Shapely in the **TensorFlow-1.8** environmen

      If you use another engine, replace **TensorFlow-1.8** in the command with the name and version of the engine.

-   .. _modelarts_05_0022__en-us_topic_0165695111_fig19791052144319:

   .. figure:: /_static/images/en-us_image_0000001281686748.png
      :alt: **Figure 1** Activating the environment
--- a/umn/source/faqs/notebook/how_do_i_upload_a_file_from_a_notebook_instance_to_obs_or_download_a_file_from_obs_to_a_notebook_instance.rst
+++ b/umn/source/faqs/notebook/how_do_i_upload_a_file_from_a_notebook_instance_to_obs_or_download_a_file_from_obs_to_a_notebook_instance.rst
@ -7,7 +7,6 @@ How Do I Upload a File from a Notebook Instance to OBS or Download a File from O

 In a notebook instance, you can call the ModelArts MoXing API or SDK to exchange data with OBS for uploading a file to OBS or downloading a file from OBS to the notebook instance.

-.. _modelarts_05_0024__en-us_topic_0165695113_fig15668759124612:

 .. figure:: /_static/images/en-us_image_0000001290603082.png
   :alt: **Figure 1** Uploading or downloading a file
--- a/umn/source/faqs/notebook/how_do_i_upload_local_files_to_a_notebook_instance.rst
+++ b/umn/source/faqs/notebook/how_do_i_upload_local_files_to_a_notebook_instance.rst
@ -9,7 +9,6 @@ How Do I Upload Local Files to a Notebook Instance?

   Open a notebook instance and click **Upload** in the upper right corner to upload a local file to the notebook instance.

-   .. _modelarts_21_0068__en-us_topic_0181034192_fig449019592184:

   .. figure:: /_static/images/en-us_image_0000001235505840.png
      :alt: **Figure 1** Upload a small file
--- a/umn/source/faqs/notebook/how_do_i_use_training_code_in_training_jobs_after_debugging_the_code_in_a_notebook_instance.rst
+++ b/umn/source/faqs/notebook/how_do_i_use_training_code_in_training_jobs_after_debugging_the_code_in_a_notebook_instance.rst
@ -9,7 +9,6 @@ After the training code is debugged in a notebook instance, if you need to use t

 On the Jupyter page, click **Convert to Python File** to convert the training code to a Python file (**.py** file). After the conversion is completed, manually upload the Python file to OBS. Then, select the OBS path in the ModelArts training job to use the training code.

-.. _modelarts_21_0066__en-us_topic_0165695112_fig639734419562:

 .. figure:: /_static/images/en-us_image_0000001279825389.png
   :alt: **Figure 1** Converting the **.ipynb** file into a Python file
--- a/Show More
+++ b/Show More