gcloud alpha mldiagnostics profiler-session describe

NAME

gcloud alpha mldiagnostics profiler-session describe - describe a profiler session

SYNOPSIS

gcloud alpha mldiagnostics profiler-session describe (PROFILER_SESSION : --location=LOCATION --machine-learning-run=MACHINE_LEARNING_RUN) [--endpoint-mode=ENDPOINT_MODE] [GCLOUD_WIDE_FLAG …]

DESCRIPTION

(ALPHA) Display the details of a specific profiler session, including its dashboard URL and target session status.

EXAMPLES

To get details of a specific profiler session by ID, run:

gcloud alpha mldiagnostics profiler-session describe auto-capture-session-01 --location=us-central1 --machine-learning-run=my-run-123 --format=json

To get details of an auto-captured profiler session using the full profilerSession resource name from monitored-events describe, run:

gcloud alpha mldiagnostics profiler-session describe projects/PROJECT_ID/locations/us-central1/machineLearningRuns/my-run-123/profilerSessions/auto-capture-session-01 --format=json

Sample output:
  {
    "autoCaptured": true,
    "createTime": "2026-05-01T12:00:05Z",
    "dashboardUri": "https://console.cloud.google.com/kubernetes/profiler/us-central1/my-run-123/auto-capture-session-01?project=PROJECT_ID",
    "deviceTracerLevel": "DEVICE_TRACER_LEVEL_ENABLED",
    "duration": "10s",
    "hostTracerLevel": "HOST_TRACER_LEVEL_INFO",
    "kind": "KIND_SNAPSHOT",
    "monitoredEvents": [
      "projects/PROJECT_ID/locations/us-central1/machineLearningRuns/my-run-123/monitoredEvents/abc-123-def-456"
    ],
    "name": "projects/PROJECT_ID/locations/us-central1/machineLearningRuns/my-run-123/profilerSessions/auto-capture-session-01",
    "profilerTargets": [
      "projects/PROJECT_ID/locations/us-central1/machineLearningRuns/my-run-123/profilerTargets/target-0"
    ],
    "pythonTracerLevel": "PYTHON_TRACER_LEVEL_DISABLED",
    "state": "SUCCEEDED",
    "storageFolderUri": "gs://diagon-prod-data/my-run-123/auto-capture-session-01"
  }

POSITIONAL ARGUMENTS

ProfilerSession resource - projects/{project}/locations/{location}/machineLearningRuns/{machineLearningRun}/profilerSessions/{profilerSession} The arguments in this group can be used to specify the attributes of this resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways.

To set the project attribute:

• provide the argument profiler_session on the command line with a fully specified name;
• provide the argument --project on the command line;
• set the property core/project.

This must be specified.

PROFILER_SESSION

ID of the profilerSession or fully qualified identifier for the profilerSession.

To set the profiler_session attribute:

• provide the argument profiler_session on the command line.

This positional argument must be specified if any of the other arguments in this group are specified.

--location=LOCATION

The location id of the profilerSession resource.

To set the location attribute:

• provide the argument profiler_session on the command line with a fully specified name;
• provide the argument --location on the command line;
• set the property compute/region.

--machine-learning-run=MACHINE_LEARNING_RUN

The machine learning run id of the profilerSession resource.

To set the machine-learning-run attribute:

• provide the argument profiler_session on the command line with a fully specified name;
• provide the argument --machine-learning-run on the command line.

FLAGS

--endpoint-mode=ENDPOINT_MODE

Specifies endpoint mode for a given command. Regional endpoints provide enhanced data residency and reliability by ensuring your request is handled entirely within the specified Google Cloud region. This differs from global endpoints, which may process parts of the request outside the target region. Overrides the default regional/endpoint_mode property value for this command invocation. ENDPOINT_MODE must be one of:

global

(Default) Use global rather than regional endpoints.

regional

Only use regional endpoints. An error will be raised if a regional endpoint is not available for a given command.

regional-preferred

Use regional endpoints when available, otherwise use global endpoints. Recommended for most users.

GCLOUD WIDE FLAGS

These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity.

Run $ gcloud help for details.

API REFERENCE

This command uses the hypercomputecluster/v1alpha API. The full documentation for this API can be found at: https://docs.cloud.google.com/cluster-director/docs

REGIONAL ENDPOINTS

This command supports regional endpoints. To use regional endpoints for this command, use the --endpoint-mode=regional-preferred flag. To use regional endpoints by default, run $ gcloud config set regional/endpoint_mode regional-preferred.

NOTES

This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist.