gcloud: Wed Jan 25 10:09:52 UTC 2023

gcloud/beta/ai/custom-jobs/create

@@ -4,7 +4,8 @@ NAME
 SYNOPSIS
     gcloud beta ai custom-jobs create --display-name=DISPLAY_NAME
         (--config=CONFIG --worker-pool-spec=[WORKER_POOL_SPEC,...])
-        [--args=[ARG,...]] [--command=[COMMAND,...]] [--enable-web-access]
+        [--args=[ARG,...]] [--command=[COMMAND,...]]
+        [--enable-dashboard-access] [--enable-web-access]
         [--labels=[KEY=VALUE,...]] [--network=NETWORK]
         [--python-package-uris=[PYTHON_PACKAGE_URIS,...]] [--region=REGION]
         [--service-account=SERVICE_ACCOUNT]
@@ -167,6 +168,12 @@ OPTIONAL FLAGS
         Command to be invoked when containers are started. It overrides the
         entrypoint instruction in Dockerfile when provided.
 
+     --enable-dashboard-access
+        Whether you want Vertex AI to enable dashboard built on the training
+        containers. If set to true, you can access the dashboard at the URIs
+        given by CustomJob.web_access_uris or Trial.web_access_uris (within
+        HyperparameterTuningJob.trials).
+
      --enable-web-access
         Whether you want Vertex AI to enable interactive shell access
         (https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)

gcloud/beta/ai/hp-tuning-jobs/create

@@ -4,7 +4,8 @@ NAME
 SYNOPSIS
     gcloud beta ai hp-tuning-jobs create --config=CONFIG
         --display-name=DISPLAY_NAME [--algorithm=ALGORITHM]
-        [--enable-web-access] [--labels=[KEY=VALUE,...]]
+        [--enable-dashboard-access] [--enable-web-access]
+        [--labels=[KEY=VALUE,...]]
         [--max-trial-count=MAX_TRIAL_COUNT; default=1] [--network=NETWORK]
         [--parallel-trial-count=PARALLEL_TRIAL_COUNT; default=1]
         [--region=REGION] [--service-account=SERVICE_ACCOUNT]
@@ -60,6 +61,12 @@ OPTIONAL FLAGS
         Search algorithm specified for the given study. ALGORITHM must be one
         of: algorithm-unspecified, grid-search, random-search.
 
+     --enable-dashboard-access
+        Whether you want Vertex AI to enable dashboard built on the training
+        containers. If set to true, you can access the dashboard at the URIs
+        given by CustomJob.web_access_uris or Trial.web_access_uris (within
+        HyperparameterTuningJob.trials).
+
      --enable-web-access
         Whether you want Vertex AI to enable interactive shell access
         (https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)

gcloud/beta/ai/models/upload

@@ -147,6 +147,9 @@ OPTIONAL FLAGS
         Resource name of the model into which to upload the version. Only
         specify this field when uploading a new version.
 
+        Value should be provided in format:
+        projects/PROJECT_ID/locations/REGION/models/PARENT_MODEL_ID
+
      Region resource - Cloud region to upload model. This represents a Cloud
      resource. (NOTE) Some attributes are not given arguments in this group but
      can be set in other ways. To set the project attribute: