From 29a08ece7ac0ee3b7b4d0763c82003ac440ae812 Mon Sep 17 00:00:00 2001 From: Tara Date: Tue, 22 Oct 2024 14:29:49 -0500 Subject: [PATCH] Revert "docs: Describe arbitrary metadata logging" (#10099) --- .../images/webui-runs-metadata-filter.png | Bin 120532 -> 0 bytes docs/get-started/webui-qs.rst | 2 - .../reference/experiment-config-reference.rst | 12 +-- docs/tools/webui-if.rst | 23 ----- docs/tutorials/_index.rst | 1 - docs/tutorials/metadata-logging.rst | 83 ------------------ docs/tutorials/quickstart-mdldev.rst | 10 --- 7 files changed, 2 insertions(+), 129 deletions(-) delete mode 100644 docs/assets/images/webui-runs-metadata-filter.png delete mode 100644 docs/tutorials/metadata-logging.rst diff --git a/docs/assets/images/webui-runs-metadata-filter.png b/docs/assets/images/webui-runs-metadata-filter.png deleted file mode 100644 index 1009ebc89489d0f37e54bdd27c93dc7dc5758da9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 120532 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a/docs/reference/experiment-config-reference.rst +++ b/docs/reference/experiment-config-reference.rst @@ -1004,12 +1004,12 @@ Optional. The maximum number of trials that can be worked on simultaneously. The Optional. If specified, the weights of *every* trial in the search will be initialized to the most recent checkpoint of the given trial ID. This will fail if the source trial's model architecture is -inconsistent with the model architecture of any of the trials in this experiment. +incompatible with the model architecture of any of the trials in this experiment. ``source_checkpoint_uuid`` -------------------------- -Optional. Like ``source_trial_id``, but specifies an arbitrary checkpoint from which to initialize +Optional. Like ``source_trial_id`` but specifies an arbitrary checkpoint from which to initialize weights. At most one of ``source_trial_id`` or ``source_checkpoint_uuid`` should be set. Grid @@ -1654,11 +1654,3 @@ If :ref:`gres_supported ` is set to ``false``, spec to ensure that ``slots_per_node`` GPUs will be available on the nodes selected for the job using other configurations such as targeting a specific resource pool with only ``slots_per_node`` GPU nodes or specifying a PBS constraint in the experiment configuration. - -****************** - Metadata Logging -****************** - -Determined supports logging arbitrary metadata for experiments. This feature allows users to store -additional context and information about their runs. To learn how to log custom metadata, visit -:ref:`the tutorial `. diff --git a/docs/tools/webui-if.rst b/docs/tools/webui-if.rst index d6d4f39043f..733180a123e 100644 --- a/docs/tools/webui-if.rst +++ b/docs/tools/webui-if.rst @@ -241,26 +241,3 @@ Clear the message with the following command: .. code:: bash det master cluster-message clear - -******************************** - Viewing and Filtering Metadata -******************************** - -You can use the WebUI to view and filter experiment runs based on logged metadata. For a tutorial on -how to log metadata, visit :ref:`metadata-logging-tutorial`. - -- In the Overview tab of the experiment, you can filter and sort runs based on metadata values - using the filter menu. -- In the experiment's Runs view, metadata columns are displayed alongside other experiment - information. -- On the Run details page, you'll find the "Metadata" section under the "Overview" tab, displaying - all logged metadata for that run. -- To download the metadata in JSON format, click the "Download" button. - -To filter runs based on metadata: - -#. In the Runs view, click on the filter icon. -#. Select a metadata field from the dropdown menu. -#. Choose a condition (is, is not, or contains) and enter a value. - -Note: Array-type metadata can be viewed but cannot be used for sorting or filtering. diff --git a/docs/tutorials/_index.rst b/docs/tutorials/_index.rst index 0a32e26b766..0f28123198c 100644 --- a/docs/tutorials/_index.rst +++ b/docs/tutorials/_index.rst @@ -46,7 +46,6 @@ Examples let you build off of an existing model that already runs on Determined. :hidden: Quickstart for Model Developers - Logging Arbitrary Metadata Porting Your PyTorch Model to Determined Get Started with Detached Mode Viewing Epoch-Based Metrics in the WebUI diff --git a/docs/tutorials/metadata-logging.rst b/docs/tutorials/metadata-logging.rst deleted file mode 100644 index 5849f6e6b35..00000000000 --- a/docs/tutorials/metadata-logging.rst +++ /dev/null @@ -1,83 +0,0 @@ -.. _metadata-logging-tutorial: - -############################ - Arbitrary Metadata Logging -############################ - -Arbitrary Metadata Logging enhances your experiment tracking capabilities by allowing you to: - -#. Log custom metadata specific to your experiments. -#. View logged metadata in the WebUI for each trial. -#. Filter and sort experiment runs based on custom metadata. -#. Compare and analyze experiments using custom metadata fields. - -By leveraging this feature, you can capture and analyze experiment-specific information beyond -standard metrics, leading to more insightful comparisons and better experiment management within the -Determined platform. - -****************** - Example Use Case -****************** - -This example creates an arbitrary metadata field ``effectiveness`` and then (does something else). - -**Section Title** - -#. Run an experiment to create a :ref:`single-trial run `. -#. Note the Run ID, e.g., Run 110. -#. Navigate to the cluster address for your training environment, e.g., **http://localhost:8080/**. -#. In the WebUI, click **API(Beta)** in the left navigation pane. -#. Execute the following PostRunMetadata ``/Internal/PostRunMetadata`` - -.. code:: bash - - { - "runId": 110, - "metadata": { - "effectiveness": 20 - } - } - -Next, we'll filter our runs by a specific metadata condition. - -**Filter by Metadata** - -#. In the WebUI, select your experiment to view the Runs table. -#. Select the **Filter**. -#. In **Show runs...**, select your metadata field from the dropdown menu. -#. Choose a condition (e.g., is, is not, or contains) and enter a value. - -.. image:: /assets/images/webui-runs-metadata-filter.png - :alt: Determined AI metadata filter for runs for an experiment - -Finally, let's view the logged metadata for our run. - -**View Metadata** - -To view the logged metadata: - -#. In the WebUI, navigate to your experiment. -#. Click on the run you want to inspect. -#. In the Run details page, find the "Metadata" section under the "Overview" tab. - -**************************** - Performance Considerations -**************************** - -When using Arbitrary Metadata Logging, consider the following: - -- Metadata is stored efficiently for fast retrieval and filtering. -- Avoid logging very large metadata objects, as this may impact performance. -- Use consistent naming conventions for keys to make filtering and sorting easier. -- For deeply nested JSON structures, filtering and sorting are supported at the top level. - -************ - Next Steps -************ - -- Experiment with logging different types of metadata in your trials. -- Use the filtering and sorting capabilities in the WebUI to analyze your experiments. -- Integrate metadata logging into your existing Determined AI workflows to enhance your experiment - tracking. - -For more tutorials and guides, visit the :ref:`tutorials-index`. diff --git a/docs/tutorials/quickstart-mdldev.rst b/docs/tutorials/quickstart-mdldev.rst index 88bc7cb20a3..0bdaaba2da3 100644 --- a/docs/tutorials/quickstart-mdldev.rst +++ b/docs/tutorials/quickstart-mdldev.rst @@ -352,16 +352,6 @@ This example uses a fixed batch size and searches on dropout size, filters, and one trial performing at about 98 percent validation accuracy. The hyperparameter search halts poorly performing trials. -************************* - Logging Custom Metadata -************************* - -Determined also supports logging custom metadata during a trial run. This feature allows you to -capture additional context and information about your experiments beyond standard metrics. - -To learn more about how to use metadata logging in your experiments, please refer to the -:ref:`metadata-logging-tutorial`. - ************ Learn More ************