google_vertex_ai_training_pipelines resource

Use the google_vertex_ai_training_pipelines InSpec audit resource to to test a Google Cloud TrainingPipeline resource.

Examples

    describe google_vertex_ai_training_pipelines(parent: "projects/#{gcp_project_id}/locations/#{training_pipeline['region']}", region: ' value_region') do
    it { should exist }
  end

Properties

Properties that can be accessed from the google_vertex_ai_training_pipelines resource:

See google_vertex_ai_training_pipeline for more detailed information.

• end_times: an array of google_vertex_ai_training_pipeline end_time
• errors: an array of google_vertex_ai_training_pipeline error
• display_names: an array of google_vertex_ai_training_pipeline display_name
• names: an array of google_vertex_ai_training_pipeline name
• input_data_configs: an array of google_vertex_ai_training_pipeline input_data_config
• parent_models: an array of google_vertex_ai_training_pipeline parent_model
• update_times: an array of google_vertex_ai_training_pipeline update_time
• states: an array of google_vertex_ai_training_pipeline state
• labels: an array of google_vertex_ai_training_pipeline labels
• training_task_definitions: an array of google_vertex_ai_training_pipeline training_task_definition
• start_times: an array of google_vertex_ai_training_pipeline start_time
• create_times: an array of google_vertex_ai_training_pipeline create_time
• training_task_metadata: an array of google_vertex_ai_training_pipeline training_task_metadata
• training_task_inputs: an array of google_vertex_ai_training_pipeline training_task_inputs
• model_ids: an array of google_vertex_ai_training_pipeline model_id
• encryption_specs: an array of google_vertex_ai_training_pipeline encryption_spec
• model_to_uploads: an array of google_vertex_ai_training_pipeline model_to_upload

Filter criteria

This resource supports all of the above properties as filter criteria, which can be used with where as a block or a method.

GCP permissions