Class ModelSpeculativeDecodingConfig
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<ModelSpeculativeDecodingConfig.Builder,ModelSpeculativeDecodingConfig>
Settings for the model speculative decoding technique that's applied by a model optimization job.
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final inthashCode()static Class<? extends ModelSpeculativeDecodingConfig.Builder> The speculative decoding technique to apply during model optimization.final StringThe speculative decoding technique to apply during model optimization.Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.The location of the training data to use for speculative decoding.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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technique
The speculative decoding technique to apply during model optimization.
If the service returns an enum value that is not available in the current SDK version,
techniquewill returnModelSpeculativeDecodingTechnique.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromtechniqueAsString().- Returns:
- The speculative decoding technique to apply during model optimization.
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techniqueAsString
The speculative decoding technique to apply during model optimization.
If the service returns an enum value that is not available in the current SDK version,
techniquewill returnModelSpeculativeDecodingTechnique.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromtechniqueAsString().- Returns:
- The speculative decoding technique to apply during model optimization.
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trainingDataSource
The location of the training data to use for speculative decoding. The data must be formatted as ShareGPT, OpenAI Completions or OpenAI Chat Completions. The input can also be unencrypted captured data from a SageMaker endpoint as long as the endpoint uses one of the above formats.
- Returns:
- The location of the training data to use for speculative decoding. The data must be formatted as ShareGPT, OpenAI Completions or OpenAI Chat Completions. The input can also be unencrypted captured data from a SageMaker endpoint as long as the endpoint uses one of the above formats.
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<ModelSpeculativeDecodingConfig.Builder,ModelSpeculativeDecodingConfig> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
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equals
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo- Returns:
- The mapping between the field name and its corresponding field.
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