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AIBenchmarkJobSummary

Source code in docs_src/capo_sagemaker/types/ai_benchmark_job_summary.py
class AIBenchmarkJobSummary(TypedDict, closed=True):
    ai_benchmark_job_name: NotRequired[
        "capo_sagemaker.types.ai_entity_name.AIEntityName"
    ]
    """<p>The name of the benchmark job.</p>"""
    ai_benchmark_job_arn: NotRequired[
        "capo_sagemaker.types.ai_benchmark_job_arn.AIBenchmarkJobArn"
    ]
    """<p>The Amazon Resource Name (ARN) of the benchmark job.</p>"""
    ai_benchmark_job_status: NotRequired[
        "capo_sagemaker.types.ai_benchmark_job_status.AIBenchmarkJobStatus"
    ]
    """<p>The status of the benchmark job.</p>"""
    creation_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>A timestamp that indicates when the benchmark job was created.</p>"""
    end_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>A timestamp that indicates when the benchmark job completed.</p>"""
    ai_workload_config_name: NotRequired[
        "capo_sagemaker.types.ai_entity_name.AIEntityName"
    ]
    """<p>The name of the AI workload configuration used by the benchmark job.</p>"""

ai_benchmark_job_arn instance-attribute

ai_benchmark_job_arn: NotRequired[AIBenchmarkJobArn]

The Amazon Resource Name (ARN) of the benchmark job.

ai_benchmark_job_name instance-attribute

ai_benchmark_job_name: NotRequired[AIEntityName]

The name of the benchmark job.

ai_benchmark_job_status instance-attribute

ai_benchmark_job_status: NotRequired[AIBenchmarkJobStatus]

The status of the benchmark job.

ai_workload_config_name instance-attribute

ai_workload_config_name: NotRequired[AIEntityName]

The name of the AI workload configuration used by the benchmark job.

creation_time instance-attribute

creation_time: NotRequired[Timestamp]

A timestamp that indicates when the benchmark job was created.

end_time instance-attribute

end_time: NotRequired[Timestamp]

A timestamp that indicates when the benchmark job completed.