aws_sdk_sagemaker/protocol_serde/
shape_get_scaling_configuration_recommendation_input.rs1pub fn ser_get_scaling_configuration_recommendation_input_input(
3 object: &mut ::aws_smithy_json::serialize::JsonObjectWriter,
4 input: &crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationInput,
5) -> ::std::result::Result<(), ::aws_smithy_types::error::operation::SerializationError> {
6 if let Some(var_1) = &input.inference_recommendations_job_name {
7 object.key("InferenceRecommendationsJobName").string(var_1.as_str());
8 }
9 if let Some(var_2) = &input.recommendation_id {
10 object.key("RecommendationId").string(var_2.as_str());
11 }
12 if let Some(var_3) = &input.endpoint_name {
13 object.key("EndpointName").string(var_3.as_str());
14 }
15 if let Some(var_4) = &input.target_cpu_utilization_per_core {
16 object.key("TargetCpuUtilizationPerCore").number(
17 #[allow(clippy::useless_conversion)]
18 ::aws_smithy_types::Number::NegInt((*var_4).into()),
19 );
20 }
21 if let Some(var_5) = &input.scaling_policy_objective {
22 #[allow(unused_mut)]
23 let mut object_6 = object.key("ScalingPolicyObjective").start_object();
24 crate::protocol_serde::shape_scaling_policy_objective::ser_scaling_policy_objective(&mut object_6, var_5)?;
25 object_6.finish();
26 }
27 Ok(())
28}