List Inference Recommendations Job Steps

sagemaker_list_inference_recommendations_job_steps

R Documentation

Returns a list of the subtasks for an Inference Recommender job

Description

Returns a list of the subtasks for an Inference Recommender job.

The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.

Usage

sagemaker_list_inference_recommendations_job_steps(JobName, Status,
  StepType, MaxResults, NextToken)

Arguments

JobName

[required] The name for the Inference Recommender job.

Status

A filter to return benchmarks of a specified status. If this field is left empty, then all benchmarks are returned.

StepType

A filter to return details about the specified type of subtask.

BENCHMARK: Evaluate the performance of your model on different instance types.

MaxResults

The maximum number of results to return.

NextToken

A token that you can specify to return more results from the list. Specify this field if you have a token that was returned from a previous request.

Value

A list with the following syntax:

list(
  Steps = list(
    list(
      StepType = "BENCHMARK",
      JobName = "string",
      Status = "PENDING"|"IN_PROGRESS"|"COMPLETED"|"FAILED"|"STOPPING"|"STOPPED"|"DELETING"|"DELETED",
      InferenceBenchmark = list(
        Metrics = list(
          CostPerHour = 123.0,
          CostPerInference = 123.0,
          MaxInvocations = 123,
          ModelLatency = 123,
          CpuUtilization = 123.0,
          MemoryUtilization = 123.0,
          ModelSetupTime = 123
        ),
        EndpointMetrics = list(
          MaxInvocations = 123,
          ModelLatency = 123
        ),
        EndpointConfiguration = list(
          EndpointName = "string",
          VariantName = "string",
          InstanceType = "ml.t2.medium"|"ml.t2.large"|"ml.t2.xlarge"|"ml.t2.2xlarge"|"ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|"ml.m5d.large"|"ml.m5d.xlarge"|"ml.m5d.2xlarge"|"ml.m5d.4xlarge"|"ml.m5d.12xlarge"|"ml.m5d.24xlarge"|"ml.c4.large"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.c5d.large"|"ml.c5d.xlarge"|"ml.c5d.2xlarge"|"ml.c5d.4xlarge"|"ml.c5d.9xlarge"|"ml.c5d.18xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"|"ml.r5.large"|"ml.r5.xlarge"|"ml.r5.2xlarge"|"ml.r5.4xlarge"|"ml.r5.12xlarge"|"ml.r5.24xlarge"|"ml.r5d.large"|"ml.r5d.xlarge"|"ml.r5d.2xlarge"|"ml.r5d.4xlarge"|"ml.r5d.12xlarge"|"ml.r5d.24xlarge"|"ml.inf1.xlarge"|"ml.inf1.2xlarge"|"ml.inf1.6xlarge"|"ml.inf1.24xlarge"|"ml.dl1.24xlarge"|"ml.c6i.large"|"ml.c6i.xlarge"|"ml.c6i.2xlarge"|"ml.c6i.4xlarge"|"ml.c6i.8xlarge"|"ml.c6i.12xlarge"|"ml.c6i.16xlarge"|"ml.c6i.24xlarge"|"ml.c6i.32xlarge"|"ml.g5.xlarge"|"ml.g5.2xlarge"|"ml.g5.4xlarge"|"ml.g5.8xlarge"|"ml.g5.12xlarge"|"ml.g5.16xlarge"|"ml.g5.24xlarge"|"ml.g5.48xlarge"|"ml.g6.xlarge"|"ml.g6.2xlarge"|"ml.g6.4xlarge"|"ml.g6.8xlarge"|"ml.g6.12xlarge"|"ml.g6.16xlarge"|"ml.g6.24xlarge"|"ml.g6.48xlarge"|"ml.p4d.24xlarge"|"ml.c7g.large"|"ml.c7g.xlarge"|"ml.c7g.2xlarge"|"ml.c7g.4xlarge"|"ml.c7g.8xlarge"|"ml.c7g.12xlarge"|"ml.c7g.16xlarge"|"ml.m6g.large"|"ml.m6g.xlarge"|"ml.m6g.2xlarge"|"ml.m6g.4xlarge"|"ml.m6g.8xlarge"|"ml.m6g.12xlarge"|"ml.m6g.16xlarge"|"ml.m6gd.large"|"ml.m6gd.xlarge"|"ml.m6gd.2xlarge"|"ml.m6gd.4xlarge"|"ml.m6gd.8xlarge"|"ml.m6gd.12xlarge"|"ml.m6gd.16xlarge"|"ml.c6g.large"|"ml.c6g.xlarge"|"ml.c6g.2xlarge"|"ml.c6g.4xlarge"|"ml.c6g.8xlarge"|"ml.c6g.12xlarge"|"ml.c6g.16xlarge"|"ml.c6gd.large"|"ml.c6gd.xlarge"|"ml.c6gd.2xlarge"|"ml.c6gd.4xlarge"|"ml.c6gd.8xlarge"|"ml.c6gd.12xlarge"|"ml.c6gd.16xlarge"|"ml.c6gn.large"|"ml.c6gn.xlarge"|"ml.c6gn.2xlarge"|"ml.c6gn.4xlarge"|"ml.c6gn.8xlarge"|"ml.c6gn.12xlarge"|"ml.c6gn.16xlarge"|"ml.r6g.large"|"ml.r6g.xlarge"|"ml.r6g.2xlarge"|"ml.r6g.4xlarge"|"ml.r6g.8xlarge"|"ml.r6g.12xlarge"|"ml.r6g.16xlarge"|"ml.r6gd.large"|"ml.r6gd.xlarge"|"ml.r6gd.2xlarge"|"ml.r6gd.4xlarge"|"ml.r6gd.8xlarge"|"ml.r6gd.12xlarge"|"ml.r6gd.16xlarge"|"ml.p4de.24xlarge"|"ml.trn1.2xlarge"|"ml.trn1.32xlarge"|"ml.trn1n.32xlarge"|"ml.inf2.xlarge"|"ml.inf2.8xlarge"|"ml.inf2.24xlarge"|"ml.inf2.48xlarge"|"ml.p5.48xlarge"|"ml.m7i.large"|"ml.m7i.xlarge"|"ml.m7i.2xlarge"|"ml.m7i.4xlarge"|"ml.m7i.8xlarge"|"ml.m7i.12xlarge"|"ml.m7i.16xlarge"|"ml.m7i.24xlarge"|"ml.m7i.48xlarge"|"ml.c7i.large"|"ml.c7i.xlarge"|"ml.c7i.2xlarge"|"ml.c7i.4xlarge"|"ml.c7i.8xlarge"|"ml.c7i.12xlarge"|"ml.c7i.16xlarge"|"ml.c7i.24xlarge"|"ml.c7i.48xlarge"|"ml.r7i.large"|"ml.r7i.xlarge"|"ml.r7i.2xlarge"|"ml.r7i.4xlarge"|"ml.r7i.8xlarge"|"ml.r7i.12xlarge"|"ml.r7i.16xlarge"|"ml.r7i.24xlarge"|"ml.r7i.48xlarge",
          InitialInstanceCount = 123,
          ServerlessConfig = list(
            MemorySizeInMB = 123,
            MaxConcurrency = 123,
            ProvisionedConcurrency = 123
          )
        ),
        ModelConfiguration = list(
          InferenceSpecificationName = "string",
          EnvironmentParameters = list(
            list(
              Key = "string",
              ValueType = "string",
              Value = "string"
            )
          ),
          CompilationJobName = "string"
        ),
        FailureReason = "string",
        InvocationEndTime = as.POSIXct(
          "2015-01-01"
        ),
        InvocationStartTime = as.POSIXct(
          "2015-01-01"
        )
      )
    )
  ),
  NextToken = "string"
)

Request syntax

svc$list_inference_recommendations_job_steps(
  JobName = "string",
  Status = "PENDING"|"IN_PROGRESS"|"COMPLETED"|"FAILED"|"STOPPING"|"STOPPED"|"DELETING"|"DELETED",
  StepType = "BENCHMARK",
  MaxResults = 123,
  NextToken = "string"
)