aws-sdk-sagemaker 1.196.0

AWS SDK for Amazon SageMaker Service
Documentation
// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub fn ser_create_ai_recommendation_job_input_input(
    object: &mut ::aws_smithy_json::serialize::JsonObjectWriter,
    input: &crate::operation::create_ai_recommendation_job::CreateAiRecommendationJobInput,
) -> ::std::result::Result<(), ::aws_smithy_types::error::operation::SerializationError> {
    if let Some(var_1) = &input.ai_recommendation_job_name {
        object.key("AIRecommendationJobName").string(var_1.as_str());
    }
    if let Some(var_2) = &input.model_source {
        #[allow(unused_mut)]
        let mut object_3 = object.key("ModelSource").start_object();
        crate::protocol_serde::shape_ai_model_source::ser_ai_model_source(&mut object_3, var_2)?;
        object_3.finish();
    }
    if let Some(var_4) = &input.output_config {
        #[allow(unused_mut)]
        let mut object_5 = object.key("OutputConfig").start_object();
        crate::protocol_serde::shape_ai_recommendation_output_config::ser_ai_recommendation_output_config(&mut object_5, var_4)?;
        object_5.finish();
    }
    if let Some(var_6) = &input.ai_workload_config_identifier {
        object.key("AIWorkloadConfigIdentifier").string(var_6.as_str());
    }
    if let Some(var_7) = &input.performance_target {
        #[allow(unused_mut)]
        let mut object_8 = object.key("PerformanceTarget").start_object();
        crate::protocol_serde::shape_ai_recommendation_performance_target::ser_ai_recommendation_performance_target(&mut object_8, var_7)?;
        object_8.finish();
    }
    if let Some(var_9) = &input.role_arn {
        object.key("RoleArn").string(var_9.as_str());
    }
    if let Some(var_10) = &input.inference_specification {
        #[allow(unused_mut)]
        let mut object_11 = object.key("InferenceSpecification").start_object();
        crate::protocol_serde::shape_ai_recommendation_inference_specification::ser_ai_recommendation_inference_specification(
            &mut object_11,
            var_10,
        )?;
        object_11.finish();
    }
    if let Some(var_12) = &input.optimize_model {
        object.key("OptimizeModel").boolean(*var_12);
    }
    if let Some(var_13) = &input.compute_spec {
        #[allow(unused_mut)]
        let mut object_14 = object.key("ComputeSpec").start_object();
        crate::protocol_serde::shape_ai_recommendation_compute_spec::ser_ai_recommendation_compute_spec(&mut object_14, var_13)?;
        object_14.finish();
    }
    if let Some(var_15) = &input.tags {
        let mut array_16 = object.key("Tags").start_array();
        for item_17 in var_15 {
            {
                #[allow(unused_mut)]
                let mut object_18 = array_16.value().start_object();
                crate::protocol_serde::shape_tag::ser_tag(&mut object_18, item_17)?;
                object_18.finish();
            }
        }
        array_16.finish();
    }
    Ok(())
}