Changes to ma_umn from docs/doc-exports#373 (Another fixes for the conversion

- Reviewed-by: gtema <artem.goncharov@gmail.com> Co-authored-by: proposalbot <proposalbot@otc-service.com> Co-committed-by: proposalbot <proposalbot@otc-service.com>
2022-10-24 09:34:01 +00:00 · 2022-10-24 09:34:01 +00:00 · 7c5b3f5e25
commit 7c5b3f5e25
parent da6b51152e
79 changed files with 8 additions and 159 deletions
--- 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
@ -28,7 +28,6 @@ Log in to the ModelArts management console and create a training job according t
      .. figure:: /_static/images/en-us_image_0000001156920769.png
         :alt: **Figure 1** SWR image address

-
         **Figure 1** SWR image address

   -  **Code Directory**: OBS path for storing the training code file.
--- a/umn/source/data_management/creating_a_dataset.rst
+++ b/umn/source/data_management/creating_a_dataset.rst
@ -26,7 +26,6 @@ Procedure
      .. figure:: /_static/images/en-us_image_0000001157080905.png
         :alt: **Figure 1** Basic information about a dataset

-
         **Figure 1** Basic information about a dataset

   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>`.
@ -35,7 +34,6 @@ Procedure
      .. figure:: /_static/images/en-us_image_0000001340184197.png
         :alt: **Figure 2** Selecting a labeling scene and type

-
         **Figure 2** Selecting a labeling scene and type

   c. Set the parameters based on the dataset type. For details, see the parameters of the following dataset types:
@ -58,7 +56,6 @@ Images (Image Classification, Object Detection, )
 .. figure:: /_static/images/en-us_image_0000001340265309.png
   :alt: **Figure 3** Parameters of datasets for image classification and object detection

-
   **Figure 3** Parameters of datasets for image classification and object detection

 .. table:: **Table 1** Dataset parameters
@ -100,7 +97,6 @@ Audio (Sound Classification, Speech Labeling, and Speech Paragraph Labeling)
 .. figure:: /_static/images/en-us_image_0000001157080903.png
   :alt: **Figure 4** Parameters of datasets for sound classification, speech labeling, and speech paragraph labeling

-
   **Figure 4** Parameters of datasets for sound classification, speech labeling, and speech paragraph labeling

 +----------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@ -148,7 +144,6 @@ Text (Text Classification, Named Entity Recognition, and Text Triplet)
 .. figure:: /_static/images/en-us_image_0000001110920960.png
   :alt: **Figure 5** Parameters of datasets for text classification, named entity recognition, and text triplet

-
   **Figure 5** Parameters of datasets for text classification, named entity recognition, and text triplet

 .. table:: **Table 2** Dataset parameters
@ -199,7 +194,6 @@ Other (Free Format)
 .. figure:: /_static/images/en-us_image_0000001156920933.png
   :alt: **Figure 6** Parameters of datasets of the free format type

-
   **Figure 6** Parameters of datasets of the free format type

 .. table:: **Table 3** Dataset parameters
--- a/umn/source/data_management/exporting_data.rst
+++ b/umn/source/data_management/exporting_data.rst
@ -37,7 +37,6 @@ Exporting Data to a New Dataset
   .. figure:: /_static/images/en-us_image_0000001278010765.png
      :alt: **Figure 1** Selecting or filtering images to be exported

-
      **Figure 1** Selecting or filtering images to be exported

 #. In the displayed **Export to New Dataset** dialog box, enter the related information and click **OK**.
@ -54,7 +53,6 @@ Exporting Data to a New Dataset
   .. figure:: /_static/images/en-us_image_0000001298006289.png
      :alt: **Figure 2** Exporting to a new dataset

-
      **Figure 2** Exporting to a new dataset

 #. After the data is exported, you can view the new dataset in the dataset list.
@ -80,7 +78,6 @@ Exporting Data to OBS
   .. figure:: /_static/images/en-us_image_0000001251806154.png
      :alt: **Figure 3** Selecting or filtering images to be exported

-
      **Figure 3** Selecting or filtering images to be exported

 #. In the displayed **Export to OBS** dialog box, enter the related information and click **OK**.
@ -93,7 +90,6 @@ Exporting Data to OBS
   .. figure:: /_static/images/en-us_image_0000001251646390.png
      :alt: **Figure 4** Exporting to OBS

-
      **Figure 4** Exporting to OBS

 #. After the data is exported, you can view it in the specified path.
--- a/umn/source/data_management/importing_data/import_operation.rst
+++ b/umn/source/data_management/importing_data/import_operation.rst
@ -83,7 +83,6 @@ The parameters on the GUI for data import vary according to the dataset type. Th
   .. figure:: /_static/images/en-us_image_0000001233970650.png
      :alt: **Figure 1** Importing the dataset to an OBS path

-
      **Figure 1** Importing the dataset to an OBS path

   After the data import is successful, the data is automatically synchronized to the dataset. On the **Datasets** page, you can click the dataset name to view its details and label the data.
@ -110,7 +109,6 @@ The parameters on the GUI for data import vary according to the dataset type. Th
   .. figure:: /_static/images/en-us_image_0000001234129946.png
      :alt: **Figure 2** Importing the dataset

-
      **Figure 2** Importing the dataset

   After the data import is successful, the data is automatically synchronized to the dataset. On the **Datasets** page, you can click the dataset name to go to the **Dashboard** tab page of the dataset, and click **Label** in the upper right corner. On the displayed dataset details page, view detailed data and label data.
--- a/umn/source/data_management/introduction_to_data_management.rst
+++ b/umn/source/data_management/introduction_to_data_management.rst
@ -40,7 +40,6 @@ ModelArts supports datasets of images, audio, text, and other types for the foll
      .. figure:: /_static/images/en-us_image_0000001156920919.png
         :alt: **Figure 1** Example of a dataset in free format

-
         **Figure 1** Example of a dataset in free format

 Dataset Management Process and Functions
--- a/umn/source/data_management/labeling_data/image_classification.rst
+++ b/umn/source/data_management/labeling_data/image_classification.rst
@ -69,7 +69,6 @@ The dataset details page displays images on the **All**, **Labeled**, and **Unla
   .. figure:: /_static/images/en-us_image_0000001110761138.png
      :alt: **Figure 1** Adding labels

-
      **Figure 1** Adding labels

 Viewing Labeled Images
@ -94,7 +93,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
   .. figure:: /_static/images/en-us_image_0000001110921036.png
      :alt: **Figure 2** Modifying a label

-
      **Figure 2** Modifying a label

 -  **Modifying based on labels**
@ -108,7 +106,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
   .. figure:: /_static/images/en-us_image_0000001156921013.png
      :alt: **Figure 3** Information about all labels

-
      **Figure 3** Information about all labels

 Adding Images
@ -128,7 +125,6 @@ In addition to automatically synchronizing data from **Input Dataset Path**, you
   .. figure:: /_static/images/en-us_image_0000001156920963.png
      :alt: **Figure 4** Adding images

-
      **Figure 4** Adding images

 #. On the **Add** page, click **OK**.
--- a/umn/source/data_management/labeling_data/named_entity_recognition.rst
+++ b/umn/source/data_management/labeling_data/named_entity_recognition.rst
@ -35,7 +35,6 @@ The dataset details page displays the labeled and unlabeled text files in the da
   .. figure:: /_static/images/en-us_image_0000001157080991.png
      :alt: **Figure 1** Labeling for named entity recognition

-
      **Figure 1** Labeling for named entity recognition

 #. Click **Save Current Page** in the lower part of the page to complete the labeling.
@ -49,7 +48,6 @@ Adding Labels
   .. figure:: /_static/images/en-us_image_0000001110921046.png
      :alt: **Figure 2** Adding a named entity label (1)

-
      **Figure 2** Adding a named entity label (1)

 -  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**.
@ -58,14 +56,12 @@ Adding Labels
   .. figure:: /_static/images/en-us_image_0000001110921048.png
      :alt: **Figure 3** Adding a named entity label (2)

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


   .. figure:: /_static/images/en-us_image_0000001110921044.png
      :alt: **Figure 4** Adding a named entity label

-
      **Figure 4** Adding a named entity label

 Viewing the Labeled Text
@ -108,7 +104,6 @@ In addition to automatically synchronizing data from **Input Dataset Path**, you
   .. figure:: /_static/images/en-us_image_0000001157080995.png
      :alt: **Figure 5** Adding files

-
      **Figure 5** Adding files

 #. In the **Add File** dialog box, click **Upload**. The files you add will be automatically displayed on the **Unlabeled** tab page.
--- a/umn/source/data_management/labeling_data/object_detection.rst
+++ b/umn/source/data_management/labeling_data/object_detection.rst
@ -87,7 +87,6 @@ The dataset details page provides the **Labeled** and **Unlabeled** tabs. The **
   .. figure:: /_static/images/en-us_image_0000001211469369.png
      :alt: **Figure 1** Adding an object detection label

-
      **Figure 1** Adding an object detection label

 #. Click **Back to Data Labeling Preview** in the upper left part of the page to view the labeling information. In the dialog box that is displayed, click **OK** to save the labeling settings.
@ -144,7 +143,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
      .. figure:: /_static/images/en-us_image_0000001211469623.png
         :alt: **Figure 2** Editing an object detection label

-
         **Figure 2** Editing an object detection label

 -  **Modifying based on labels**
@ -158,7 +156,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
   .. figure:: /_static/images/en-us_image_0000001166069824.png
      :alt: **Figure 3** All labels for object detection

-
      **Figure 3** All labels for object detection

 Adding Images
@ -178,7 +175,6 @@ In addition to the data automatically synchronized from **Input Dataset Path**,
   .. figure:: /_static/images/en-us_image_0000001156920963.png
      :alt: **Figure 4** Adding images

-
      **Figure 4** Adding images

 #. On the **Add** page, click **OK**.
--- a/umn/source/data_management/labeling_data/sound_classification.rst
+++ b/umn/source/data_management/labeling_data/sound_classification.rst
@ -55,7 +55,6 @@ The dataset details page displays the labeled and unlabeled audio files. The **U
   .. figure:: /_static/images/en-us_image_0000001110761046.png
      :alt: **Figure 1** Adding an audio label

-
      **Figure 1** Adding an audio label

 Viewing the Labeled Audio Files
@ -83,7 +82,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
   .. figure:: /_static/images/en-us_image_0000001110761048.png
      :alt: **Figure 2** Information about all labels

-
      **Figure 2** Information about all labels

   -  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 new label applies to the audio files that contain the original label.
--- a/umn/source/data_management/labeling_data/speech_labeling.rst
+++ b/umn/source/data_management/labeling_data/speech_labeling.rst
@ -40,7 +40,6 @@ The dataset details page displays the labeled and unlabeled audio files. The **U
   .. figure:: /_static/images/en-us_image_0000001157080861.png
      :alt: **Figure 1** Labeling an audio file

-
      **Figure 1** Labeling an audio file

 Viewing the Labeled Audio Files
--- a/umn/source/data_management/labeling_data/speech_paragraph_labeling.rst
+++ b/umn/source/data_management/labeling_data/speech_paragraph_labeling.rst
@ -38,7 +38,6 @@ The dataset details page displays the labeled and unlabeled audio files. The **U
   .. figure:: /_static/images/en-us_image_0000001157080967.png
      :alt: **Figure 1** Labeling an audio file

-
      **Figure 1** Labeling an audio file

 #. After entering the content, click **OK** to complete the labeling. The audio file is automatically moved to the **Labeled** tab page.
--- a/umn/source/data_management/labeling_data/text_classification.rst
+++ b/umn/source/data_management/labeling_data/text_classification.rst
@ -38,7 +38,6 @@ The dataset details page displays the labeled and unlabeled text files in the da
   .. figure:: /_static/images/en-us_image_0000001157080753.png
      :alt: **Figure 1** Labeling for text classification

-
      **Figure 1** Labeling for text classification

 #. After all objects are labeled, click **Save Current Page** at the bottom of the page to complete labeling text files on the **Unlabeled** tab page.
@ -52,7 +51,6 @@ Adding Labels
   .. figure:: /_static/images/en-us_image_0000001156920783.png
      :alt: **Figure 2** Adding a label (1)

-
      **Figure 2** Adding a label (1)

 -  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**.
@ -61,14 +59,12 @@ Adding Labels
   .. figure:: /_static/images/en-us_image_0000001110920808.png
      :alt: **Figure 3** Adding a label (2)

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


   .. figure:: /_static/images/en-us_image_0000001110760914.png
      :alt: **Figure 4** Adding a label

-
      **Figure 4** Adding a label

 Viewing the Labeled Text
--- a/umn/source/data_management/labeling_data/text_triplet.rst
+++ b/umn/source/data_management/labeling_data/text_triplet.rst
@ -23,14 +23,12 @@ For example, if two entities are labeled as **Place**, you cannot add any relati
 .. figure:: /_static/images/en-us_image_0000001157080821.png
   :alt: **Figure 1** Example of entity and relationship labels

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


 .. figure:: /_static/images/en-us_image_0000001157080819.png
   :alt: **Figure 2** Failure of adding a relationship label

-
   **Figure 2** Failure of adding a relationship label

 Starting Labeling
@ -57,7 +55,6 @@ The dataset details page displays the labeled and unlabeled text objects in the
   .. figure:: /_static/images/en-us_image_0000001156920847.png
      :alt: **Figure 3** Labeling an entity

-
      **Figure 3** Labeling an entity

 #. 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.
@ -66,7 +63,6 @@ The dataset details page displays the labeled and unlabeled text objects in the
   .. figure:: /_static/images/en-us_image_0000001157080823.png
      :alt: **Figure 4** Labeling a relationship

-
      **Figure 4** Labeling a relationship

 #. After all objects are labeled, click **Save Current Page** at the bottom of the page.
@ -86,7 +82,6 @@ On the dataset details page, click the **Labeled** tab. Select a text object in
 .. figure:: /_static/images/en-us_image_0000001110760966.png
   :alt: **Figure 5** Modifying a label in the text

-
   **Figure 5** Modifying a label in the text

 You can click **Delete Labels on Current Item** at the bottom of the page to delete all labels in the selected text object.
@ -95,7 +90,6 @@ You can click **Delete Labels on Current Item** at the bottom of the page to del
 .. figure:: /_static/images/en-us_image_0000001110920872.png
   :alt: **Figure 6** Deleting current labels

-
   **Figure 6** Deleting current labels

 Adding a File
@ -113,7 +107,6 @@ In addition to automatically synchronizing data from **Input Dataset Path**, you
   .. figure:: /_static/images/en-us_image_0000001156920843.png
      :alt: **Figure 7** Adding a file

-
      **Figure 7** Adding a file

 #. In the **Add File** dialog box, click **Upload**. The files you add will be automatically displayed in the **Labeling Objects** list on the **Unlabeled** tab page.
--- a/umn/source/data_management/managing_dataset_versions.rst
+++ b/umn/source/data_management/managing_dataset_versions.rst
@ -22,7 +22,6 @@ Viewing Dataset Version Updates
   .. figure:: /_static/images/en-us_image_0000001278250381.png
      :alt: **Figure 1** Viewing dataset versions

-
      **Figure 1** Viewing dataset versions

 Setting to Current Version
--- a/umn/source/data_management/modifying_a_dataset.rst
+++ b/umn/source/data_management/modifying_a_dataset.rst
@ -27,7 +27,6 @@ Modifying the Basic Information About a Dataset
   .. figure:: /_static/images/en-us_image_0000001233810770.png
      :alt: **Figure 1** Modifying a dataset

-
      **Figure 1** Modifying a dataset

   .. _modelarts_23_0020__en-us_topic_0170886811_table151481125214:
--- a/umn/source/data_management/publishing_a_dataset.rst
+++ b/umn/source/data_management/publishing_a_dataset.rst
@ -58,7 +58,6 @@ Publishing a Dataset
   .. figure:: /_static/images/en-us_image_0000001277931137.png
      :alt: **Figure 1** Publishing a dataset

-
      **Figure 1** Publishing a dataset

   After the version is published, you can go to the **Version Manager** tab page to view the detailed information. By default, the system sets the latest version to the current directory.
--- a/umn/source/data_management/team_labeling/introduction_to_team_labeling.rst
+++ b/umn/source/data_management/team_labeling/introduction_to_team_labeling.rst
@ -20,7 +20,6 @@ How to Enable Team Labeling
   .. figure:: /_static/images/en-us_image_0000001278234781.png
      :alt: **Figure 1** Enabling during dataset creation

-
      **Figure 1** Enabling during dataset creation

 -  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>`.
@ -29,21 +28,18 @@ How to Enable Team Labeling
   .. figure:: /_static/images/en-us_image_0000001156921451.png
      :alt: **Figure 2** Creating a team labeling task in a dataset list

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


   .. figure:: /_static/images/en-us_image_0000001110761582.png
      :alt: **Figure 3** Creating a team labeling task

-
      **Figure 3** Creating a team labeling task


   .. figure:: /_static/images/en-us_image_0000001110761054.png
      :alt: **Figure 4** Creating a team labeling task on the dataset details page

-
      **Figure 4** Creating a team labeling task on the dataset details page

 Operations Related to Team Labeling
--- a/umn/source/data_management/team_labeling/member_management.rst
+++ b/umn/source/data_management/team_labeling/member_management.rst
@ -30,14 +30,12 @@ Adding a Member
   .. figure:: /_static/images/en-us_image_0000001156920939.png
      :alt: **Figure 1** Adding a member

-
      **Figure 1** Adding a member


   .. figure:: /_static/images/en-us_image_0000001157081267.png
      :alt: **Figure 2** Adding a member

-
      **Figure 2** Adding a member

   Information about the added member is displayed in the **Team Details** area.
@ -70,5 +68,4 @@ Deleting Members
   .. figure:: /_static/images/en-us_image_0000001157080915.png
      :alt: **Figure 3** Batch deletion

-
      **Figure 3** Batch deletion
--- a/umn/source/data_management/team_labeling/team_management.rst
+++ b/umn/source/data_management/team_labeling/team_management.rst
@ -28,7 +28,6 @@ Adding a Team
   .. figure:: /_static/images/en-us_image_0000001157080843.png
      :alt: **Figure 1** Adding a team

-
      **Figure 1** Adding a team

   The new team is displayed on the **Labeling Teams** page. You can view team details in the right pane. There is no member in the new team. Add members to the new team by referring to :ref:`Adding a Member <modelarts_23_0183__en-us_topic_0186456618_section060323818470>`.
@ -44,5 +43,4 @@ On the **Labeling Teams** page, select the target team and click **Delete**. In
 .. figure:: /_static/images/en-us_image_0000001157080841.png
   :alt: **Figure 2** Deleting a team

-
   **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
@ -30,7 +30,6 @@ Creating a Notebook Instance
      .. figure:: /_static/images/en-us_image_0000001156920885.png
         :alt: **Figure 1** Basic information about a notebook instance

-
         **Figure 1** Basic information about a notebook instance

      .. _modelarts_23_0034__en-us_topic_0162690358_table1669535791517:
--- 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
@ -22,7 +22,6 @@ Instance Opening
 .. figure:: /_static/images/en-us_image_0000001233650818.png
   :alt: **Figure 1** Opening a notebook instance

-
   **Figure 1** Opening a notebook instance

 Code Development
--- 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
@ -29,5 +29,4 @@ CPU-based notebook instances do not use CUDA. Therefore, the following operation
   .. figure:: /_static/images/en-us_image_0000001156920929.png
      :alt: **Figure 1** Example of switching the CUDA version

-
      **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
@ -28,5 +28,4 @@ You can switch to another AI engine environment in the terminal environment of J
   .. figure:: /_static/images/en-us_image_0000001110761076.png
      :alt: **Figure 1** Output after command execution

-
      **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
@ -27,5 +27,4 @@ For example, if the **Example1.ipynb** file needs to call **module** in the **Ex
 .. figure:: /_static/images/en-us_image_0000001251814444.png
   :alt: **Figure 1** Using the Sync OBS function

-
   **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
@ -19,7 +19,6 @@ After code compiling is finished, you can save the entered code as a **.py** fil
   .. figure:: /_static/images/en-us_image_0000001156920943.png
      :alt: **Figure 1** Convert to Python File

-
      **Figure 1** Convert to Python File

 #. 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**.
@ -28,5 +27,4 @@ After code compiling is finished, you can save the entered code as a **.py** fil
   .. figure:: /_static/images/en-us_image_0000001110761072.png
      :alt: **Figure 2** Setting and saving the configuration

-
      **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
@ -43,7 +43,6 @@ After the file is created, the console page is displayed.
 .. figure:: /_static/images/en-us_image_0000001110761020.png
   :alt: **Figure 1** Creating a notebook file (console)

-
   **Figure 1** Creating a notebook file (console)

 .. _modelarts_23_0209__en-us_topic_0208766071_section172463910383:
@ -59,7 +58,6 @@ The size of the file to be uploaded using this method is limited. If the file si
 .. figure:: /_static/images/en-us_image_0000001110920918.png
   :alt: **Figure 2** Uploading a file

-
   **Figure 2** Uploading a file

 Editing a File
@ -73,7 +71,6 @@ Using JupyterLab, you can customize the display of multiple files. In the file d
 .. figure:: /_static/images/en-us_image_0000001157080869.png
   :alt: **Figure 3** Customized display of multiple files

-
   **Figure 3** Customized display of multiple files

 When writing code in a notebook instance, you can create multiple views of a file to synchronously edit the file and view the execution result in real time.
@ -84,7 +81,6 @@ To open multiple views, open the file and choose **File** > **New View for Noteb
 .. figure:: /_static/images/en-us_image_0000001110920916.png
   :alt: **Figure 4** Multiple views of a file

-
   **Figure 4** Multiple views of a file

 Downloading a File to a Local Computer
@ -98,7 +94,6 @@ In the JupyterLab file list, right-click the file to be downloaded and choose **
 .. figure:: /_static/images/en-us_image_0000001157080879.png
   :alt: **Figure 5** Downloading a file

-
   **Figure 5** Downloading a file

 Common Icons and Plug-ins of JupyterLab
@ -108,7 +103,6 @@ Common Icons and Plug-ins of JupyterLab
 .. figure:: /_static/images/en-us_image_0000001110761018.png
   :alt: **Figure 6** Common icons and plug-ins of JupyterLab

-
   **Figure 6** Common icons and plug-ins of JupyterLab

 .. table:: **Table 1** Icon description
--- a/umn/source/devenviron_notebook/using_jupyterlab/synchronizing_files_with_obs.rst
+++ b/umn/source/devenviron_notebook/using_jupyterlab/synchronizing_files_with_obs.rst
@ -27,5 +27,4 @@ For example, **Example-1.ipynb** needs to invoke **module** in **Example-2.ipynb
 .. figure:: /_static/images/en-us_image_0000001110761312.png
   :alt: **Figure 1** Using the Sync OBS function

-
   **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
@ -24,7 +24,6 @@ You can deploy a model as a real-time service that provides a real-time test UI
   .. figure:: /_static/images/en-us_image_0000001156920879.png
      :alt: **Figure 1** Deploying a model

-
      **Figure 1** Deploying a model

 #. After the model deployment is started, view the deployment status on the **Service Deployment** page.
--- a/umn/source/exeml/image_classification/labeling_data.rst
+++ b/umn/source/exeml/image_classification/labeling_data.rst
@ -21,7 +21,6 @@ Labeling Images
   .. figure:: /_static/images/en-us_image_0000001110760930.png
      :alt: **Figure 1** Adding a label

-
      **Figure 1** Adding a label

 #. After all the images are labeled, view them on the **Labeled** tab page or view **All Labels** in the right pane to check the name and quantity of the labels.
@ -56,7 +55,6 @@ After labeling data, you can modify the labeled data on the **Labeled** tab page
      .. figure:: /_static/images/en-us_image_0000001157080781.png
         :alt: **Figure 2** Modifying a label

-
         **Figure 2** Modifying a label

   -  Deleting a label: In the **Labels of Selected Image** area, click |image1| in the **Operation** column to delete the label.
@ -69,7 +67,6 @@ After labeling data, you can modify the labeled data on the **Labeled** tab page
   .. figure:: /_static/images/en-us_image_0000001157080783.png
      :alt: **Figure 3** Information about all labels

-
      **Figure 3** Information about all labels

   -  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.
--- a/umn/source/exeml/image_classification/training_a_model.rst
+++ b/umn/source/exeml/image_classification/training_a_model.rst
@ -18,7 +18,6 @@ Procedure
   .. figure:: /_static/images/en-us_image_0000001157080771.png
      :alt: **Figure 1** Setting training parameters

-
      **Figure 1** Setting training parameters

   .. _modelarts_21_0006__en-us_topic_0284258835_en-us_topic_0169446155_table56110116164:
--- a/umn/source/exeml/introduction_to_exeml.rst
+++ b/umn/source/exeml/introduction_to_exeml.rst
@ -25,7 +25,6 @@ With ModelArts ExeML, you can develop AI models without coding. You only need to
 .. figure:: /_static/images/en-us_image_0000001110921482.png
   :alt: **Figure 1** Usage process of ExeML

-
   **Figure 1** Usage process of ExeML

 ExeML Projects
--- 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
@ -24,7 +24,6 @@ You can deploy a model as a real-time service that provides a real-time test UI
   .. figure:: /_static/images/en-us_image_0000001156920879.png
      :alt: **Figure 1** Deploying a model

-
      **Figure 1** Deploying a model

 #. After the model deployment is started, view the deployment status on the **Service Deployment** page.
@ -67,7 +66,6 @@ Testing a Service
      .. figure:: /_static/images/en-us_image_0000001157080853.png
         :alt: **Figure 2** Illustration for coordinates of four points of a detection box

-
         **Figure 2** Illustration for coordinates of four points of a detection box

      .. note::
--- a/umn/source/exeml/object_detection/labeling_data.rst
+++ b/umn/source/exeml/object_detection/labeling_data.rst
@ -59,7 +59,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
      .. figure:: /_static/images/en-us_image_0000001211311199.png
         :alt: **Figure 1** Editing an object detection label

-
         **Figure 1** Editing an object detection label

 -  **Modifying based on labels**
@ -70,7 +69,6 @@ After labeling data, you can modify labeled data on the **Labeled** tab page.
   .. figure:: /_static/images/en-us_image_0000001211308579.png
      :alt: **Figure 2** All labels for object detection

-
      **Figure 2** All labels for object detection

   -  Modifying a label: Click the edit 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.
--- a/umn/source/exeml/object_detection/training_a_model.rst
+++ b/umn/source/exeml/object_detection/training_a_model.rst
@ -18,7 +18,6 @@ Procedure
   .. figure:: /_static/images/en-us_image_0000001157080807.png
      :alt: **Figure 1** Setting training parameters

-
      **Figure 1** Setting training parameters

   .. _modelarts_21_0012__en-us_topic_0284258841_en-us_topic_0169446261_table56110116164:
--- 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
@ -26,7 +26,6 @@ You can deploy a model as a real-time service that provides a real-time test UI
   .. figure:: /_static/images/en-us_image_0000001297768593.png
      :alt: **Figure 1** Deploying a service

-
      **Figure 1** Deploying a service

 #. After the model is deployed, view the model deployment status on the **Service Deployment** page.
--- a/umn/source/exeml/predictive_analytics/selecting_a_label_column.rst
+++ b/umn/source/exeml/predictive_analytics/selecting_a_label_column.rst
@ -18,7 +18,6 @@ Procedure
   .. figure:: /_static/images/en-us_image_0000001251249066.png
      :alt: **Figure 1** Data labeling page of a predictive analytics project

-
      **Figure 1** Data labeling page of a predictive analytics project

 #. Select the data type of the label column. On the **Label Data** tab page, select a data type for **Label Column Data Type**.
--- a/umn/source/exeml/predictive_analytics/training_a_model.rst
+++ b/umn/source/exeml/predictive_analytics/training_a_model.rst
@ -20,7 +20,6 @@ Procedure
   .. figure:: /_static/images/en-us_image_0000001297768589.png
      :alt: **Figure 1** Training configuration

-
      **Figure 1** Training configuration

 #. On the **Train Model** tab page, wait until the training status changes from **Running** to **Completed**.
--- 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
@ -31,5 +31,4 @@ Incremental Training Procedure
   .. figure:: /_static/images/en-us_image_0000001110761050.png
      :alt: **Figure 1** Selecting an incremental training version

-
      **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
@ -15,7 +15,6 @@ When creating a project, select a training data path. This section describes how
   .. figure:: /_static/images/en-us_image_0000001297638913.png
      :alt: **Figure 1** Creating an OBS bucket

-
      **Figure 1** Creating an OBS bucket

 #. Select the bucket, and click **Create Folder**. In the dialog box that is displayed, enter the folder name and click **OK**.
--- 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
@ -22,7 +22,6 @@ Obtaining the Data Source of an ExeML Project
   .. figure:: /_static/images/en-us_image_0000001156920911.png
      :alt: **Figure 1** Viewing the data storage path

-
      **Figure 1** Viewing the data storage path

 Uploading New Data to OBS
--- 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
@ -18,7 +18,6 @@ For an ExeML project, after the model training is complete, the generated model
 .. figure:: /_static/images/en-us_image_0000001110760900.png
   :alt: **Figure 1** Models generated by ExeML

-
   **Figure 1** Models generated by ExeML

 What Other Operations Are Supported for 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
@ -31,5 +31,4 @@ Incremental Training Procedure
   .. figure:: /_static/images/en-us_image_0000001279536749.png
      :alt: **Figure 1** Selecting an incremental training version

-
      **Figure 1** Selecting an incremental training version
--- a/umn/source/faqs/exeml/what_are_image_classification_and_object_detection.rst
+++ b/umn/source/faqs/exeml/what_are_image_classification_and_object_detection.rst
@ -12,7 +12,6 @@ Image classification is an image processing method that separates different clas
 .. figure:: /_static/images/en-us_image_0000001156920931.png
   :alt: **Figure 1** Image classification

-
   **Figure 1** Image classification

 Object detection is one of the classical problems in computer vision. It intends to label objects with frames and identify the object classes in an image. Generally, if an image contains multiple objects, object detection can identify the location, quantity, and name of each object in the image. It is suitable for scenarios where an image contains multiple objects. :ref:`Figure 2 <modelarts_05_0018__en-us_topic_0000001096467407_en-us_topic_0285164820_en-us_topic_0147657895_fig522176141613>` shows an example of identifying a tree and a car in an image.
@ -22,5 +21,4 @@ Object detection is one of the classical problems in computer vision. It intends
 .. figure:: /_static/images/en-us_image_0000001110920962.png
   :alt: **Figure 2** Object detection

-
   **Figure 2** Object detection
--- 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
@ -15,5 +15,4 @@ How Do I Enable the Terminal Function in DevEnviron of ModelArts?
   .. figure:: /_static/images/en-us_image_0000001110760910.png
      :alt: **Figure 1** Going to the **Terminal** page

-
      **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
@ -43,7 +43,6 @@ For example, use **pip** to install Shapely in the **TensorFlow-1.8** environmen
   .. figure:: /_static/images/en-us_image_0000001281686748.png
      :alt: **Figure 1** Activating the environment

-
      **Figure 1** Activating the environment

 #. Type the following command in the code input bar to install Shapely:
--- 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
@ -11,7 +11,6 @@ In a notebook instance, you can call the ModelArts MoXing API or SDK to exchange
 .. figure:: /_static/images/en-us_image_0000001290603082.png
   :alt: **Figure 1** Uploading or downloading a file

-
   **Figure 1** Uploading or downloading a file

 Method 1: Using MoXing to upload and download 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
@ -13,7 +13,6 @@ How Do I Upload Local Files to a Notebook Instance?
   .. figure:: /_static/images/en-us_image_0000001235505840.png
      :alt: **Figure 1** Upload a small file

-
      **Figure 1** Upload a small file

 -  **Large files (files larger than 100 MB)**
--- 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
@ -13,5 +13,4 @@ On the Jupyter page, click **Convert to Python File** to convert the training co
 .. figure:: /_static/images/en-us_image_0000001279825389.png
   :alt: **Figure 1** Converting the **.ipynb** file into a Python file

-
   **Figure 1** Converting the **.ipynb** file into a Python file
--- a/umn/source/faqs/notebook/is_the_keras_engine_supported.rst
+++ b/umn/source/faqs/notebook/is_the_keras_engine_supported.rst
@ -24,5 +24,4 @@ How Do I View Keras Versions?
   .. figure:: /_static/images/en-us_image_0000001279905793.png
      :alt: **Figure 1** Viewing Keras versions

-
      **Figure 1** Viewing Keras versions
--- a/umn/source/faqs/notebook/what_do_i_do_if_a_notebook_instance_fails_to_execute_code.rst
+++ b/umn/source/faqs/notebook/what_do_i_do_if_a_notebook_instance_fails_to_execute_code.rst
@ -14,7 +14,6 @@ If a notebook instance fails to execute code, you can locate and rectify the fau
   .. figure:: /_static/images/en-us_image_0000001279666173.png
      :alt: **Figure 1** Stopping all cells

-
      **Figure 1** Stopping all cells

 #. If the notebook page does not respond, close the notebook page and the ModelArts management console. Then, open the ModelArts management console and access the notebook instance again. The notebook instance retains all the variable spaces that exist when the notebook instance is unavailable.
@ -23,7 +22,6 @@ If a notebook instance fails to execute code, you can locate and rectify the fau
   .. figure:: /_static/images/en-us_image_0000001235825716.png
      :alt: **Figure 2** Accessing the notebook instance again

-
      **Figure 2** Accessing the notebook instance again

 #. If the notebook instance still cannot be used, access the **Notebook** page on the ModelArts management console and stop the notebook instance. After the notebook instance is stopped, click **Start** to restart the notebook instance and open it. In this case, the notebook instance retains all the variable spaces that exist when the notebook instance is unavailable.
--- a/Show More
+++ b/Show More