pub fn ser_training_specification(
object: &mut ::aws_smithy_json::serialize::JsonObjectWriter,
input: &crate::types::TrainingSpecification,
) -> ::std::result::Result<(), ::aws_smithy_types::error::operation::SerializationError> {
if let Some(var_1) = &input.training_image {
object.key("TrainingImage").string(var_1.as_str());
}
if let Some(var_2) = &input.training_image_digest {
object.key("TrainingImageDigest").string(var_2.as_str());
}
if let Some(var_3) = &input.supported_hyper_parameters {
let mut array_4 = object.key("SupportedHyperParameters").start_array();
for item_5 in var_3 {
{
#[allow(unused_mut)]
let mut object_6 = array_4.value().start_object();
crate::protocol_serde::shape_hyper_parameter_specification::ser_hyper_parameter_specification(&mut object_6, item_5)?;
object_6.finish();
}
}
array_4.finish();
}
if let Some(var_7) = &input.supported_training_instance_types {
let mut array_8 = object.key("SupportedTrainingInstanceTypes").start_array();
for item_9 in var_7 {
{
array_8.value().string(item_9.as_str());
}
}
array_8.finish();
}
if let Some(var_10) = &input.supports_distributed_training {
object.key("SupportsDistributedTraining").boolean(*var_10);
}
if let Some(var_11) = &input.metric_definitions {
let mut array_12 = object.key("MetricDefinitions").start_array();
for item_13 in var_11 {
{
#[allow(unused_mut)]
let mut object_14 = array_12.value().start_object();
crate::protocol_serde::shape_metric_definition::ser_metric_definition(&mut object_14, item_13)?;
object_14.finish();
}
}
array_12.finish();
}
if let Some(var_15) = &input.training_channels {
let mut array_16 = object.key("TrainingChannels").start_array();
for item_17 in var_15 {
{
#[allow(unused_mut)]
let mut object_18 = array_16.value().start_object();
crate::protocol_serde::shape_channel_specification::ser_channel_specification(&mut object_18, item_17)?;
object_18.finish();
}
}
array_16.finish();
}
if let Some(var_19) = &input.supported_tuning_job_objective_metrics {
let mut array_20 = object.key("SupportedTuningJobObjectiveMetrics").start_array();
for item_21 in var_19 {
{
#[allow(unused_mut)]
let mut object_22 = array_20.value().start_object();
crate::protocol_serde::shape_hyper_parameter_tuning_job_objective::ser_hyper_parameter_tuning_job_objective(&mut object_22, item_21)?;
object_22.finish();
}
}
array_20.finish();
}
if let Some(var_23) = &input.additional_s3_data_source {
#[allow(unused_mut)]
let mut object_24 = object.key("AdditionalS3DataSource").start_object();
crate::protocol_serde::shape_additional_s3_data_source::ser_additional_s3_data_source(&mut object_24, var_23)?;
object_24.finish();
}
Ok(())
}
pub(crate) fn de_training_specification<'a, I>(
tokens: &mut ::std::iter::Peekable<I>,
_value: &'a [u8],
) -> ::std::result::Result<Option<crate::types::TrainingSpecification>, ::aws_smithy_json::deserialize::error::DeserializeError>
where
I: Iterator<Item = Result<::aws_smithy_json::deserialize::Token<'a>, ::aws_smithy_json::deserialize::error::DeserializeError>>,
{
match tokens.next().transpose()? {
Some(::aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(::aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::types::builders::TrainingSpecificationBuilder::default();
loop {
match tokens.next().transpose()? {
Some(::aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(::aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => match key.to_unescaped()?.as_ref() {
"TrainingImage" => {
builder = builder.set_training_image(
::aws_smithy_json::deserialize::token::expect_string_or_null(tokens.next())?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"TrainingImageDigest" => {
builder = builder.set_training_image_digest(
::aws_smithy_json::deserialize::token::expect_string_or_null(tokens.next())?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"SupportedHyperParameters" => {
builder = builder.set_supported_hyper_parameters(
crate::protocol_serde::shape_hyper_parameter_specifications::de_hyper_parameter_specifications(tokens, _value)?,
);
}
"SupportedTrainingInstanceTypes" => {
builder = builder.set_supported_training_instance_types(
crate::protocol_serde::shape_training_instance_types::de_training_instance_types(tokens, _value)?,
);
}
"SupportsDistributedTraining" => {
builder =
builder.set_supports_distributed_training(::aws_smithy_json::deserialize::token::expect_bool_or_null(tokens.next())?);
}
"MetricDefinitions" => {
builder = builder.set_metric_definitions(crate::protocol_serde::shape_metric_definition_list::de_metric_definition_list(
tokens, _value,
)?);
}
"TrainingChannels" => {
builder = builder.set_training_channels(crate::protocol_serde::shape_channel_specifications::de_channel_specifications(
tokens, _value,
)?);
}
"SupportedTuningJobObjectiveMetrics" => {
builder = builder.set_supported_tuning_job_objective_metrics(
crate::protocol_serde::shape_hyper_parameter_tuning_job_objectives::de_hyper_parameter_tuning_job_objectives(
tokens, _value,
)?,
);
}
"AdditionalS3DataSource" => {
builder = builder.set_additional_s3_data_source(
crate::protocol_serde::shape_additional_s3_data_source::de_additional_s3_data_source(tokens, _value)?,
);
}
_ => ::aws_smithy_json::deserialize::token::skip_value(tokens)?,
},
other => {
return Err(::aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {other:?}"
)))
}
}
}
Ok(Some(crate::serde_util::training_specification_correct_errors(builder).build()))
}
_ => Err(::aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
)),
}
}