GKE Recommender V1 API - Class Google::Cloud::GkeRecommender::V1::FetchBenchmarkingDataRequest (v0.1.0)

Reference documentation and code samples for the GKE Recommender V1 API class Google::Cloud::GkeRecommender::V1::FetchBenchmarkingDataRequest.

Request message for GkeInferenceQuickstart.FetchBenchmarkingData.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#instance_type

def instance_type() -> ::String
Returns
  • (::String) — Optional. The instance type to filter benchmarking data. Instance types are in the format a2-highgpu-1g. If not provided, all instance types for the given profile's model_server_info will be returned. Use GkeInferenceQuickstart.FetchProfiles to find available instance types.

#instance_type=

def instance_type=(value) -> ::String
Parameter
  • value (::String) — Optional. The instance type to filter benchmarking data. Instance types are in the format a2-highgpu-1g. If not provided, all instance types for the given profile's model_server_info will be returned. Use GkeInferenceQuickstart.FetchProfiles to find available instance types.
Returns
  • (::String) — Optional. The instance type to filter benchmarking data. Instance types are in the format a2-highgpu-1g. If not provided, all instance types for the given profile's model_server_info will be returned. Use GkeInferenceQuickstart.FetchProfiles to find available instance types.

#model_server_info

def model_server_info() -> ::Google::Cloud::GkeRecommender::V1::ModelServerInfo
Returns

#model_server_info=

def model_server_info=(value) -> ::Google::Cloud::GkeRecommender::V1::ModelServerInfo
Parameter
Returns

#pricing_model

def pricing_model() -> ::String
Returns
  • (::String) — Optional. The pricing model to use for the benchmarking data. Defaults to spot.

#pricing_model=

def pricing_model=(value) -> ::String
Parameter
  • value (::String) — Optional. The pricing model to use for the benchmarking data. Defaults to spot.
Returns
  • (::String) — Optional. The pricing model to use for the benchmarking data. Defaults to spot.