Package com.viam.service.mlmodel.v1

Class Mlmodel.FlatTensorDataInt16.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder<MessageType,BuilderType>
com.google.protobuf.GeneratedMessageLite.Builder<Mlmodel.FlatTensorDataInt16,Mlmodel.FlatTensorDataInt16.Builder>
com.viam.service.mlmodel.v1.Mlmodel.FlatTensorDataInt16.Builder
All Implemented Interfaces:
com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, Mlmodel.FlatTensorDataInt16OrBuilder, Cloneable
Enclosing class:
Mlmodel.FlatTensorDataInt16
public static final class Mlmodel.FlatTensorDataInt16.Builder extends com.google.protobuf.GeneratedMessageLite.Builder<Mlmodel.FlatTensorDataInt16,Mlmodel.FlatTensorDataInt16.Builder> implements Mlmodel.FlatTensorDataInt16OrBuilder
Protobuf type viam.service.mlmodel.v1.FlatTensorDataInt16

  • Field Summary

    Fields inherited from class com.google.protobuf.GeneratedMessageLite.Builder

    instance

  • Method Summary

    Modifier and Type
    Method
    Description
    Mlmodel.FlatTensorDataInt16.Builder
    addAllData(Iterable<? extends Integer> values)
    packs two 16-bit numbers per entry - explicitly little-endian so big-endian producers/consumers must compensate
    Mlmodel.FlatTensorDataInt16.Builder
    addData(int value)
    packs two 16-bit numbers per entry - explicitly little-endian so big-endian producers/consumers must compensate
    Mlmodel.FlatTensorDataInt16.Builder
    clearData()
    packs two 16-bit numbers per entry - explicitly little-endian so big-endian producers/consumers must compensate
    int
    getData(int index)
    packs two 16-bit numbers per entry - explicitly little-endian so big-endian producers/consumers must compensate
    int
    getDataCount()
    packs two 16-bit numbers per entry - explicitly little-endian so big-endian producers/consumers must compensate
    List<Integer>
    getDataList()
    packs two 16-bit numbers per entry - explicitly little-endian so big-endian producers/consumers must compensate
    Mlmodel.FlatTensorDataInt16.Builder
    setData(int index, int value)
    packs two 16-bit numbers per entry - explicitly little-endian so big-endian producers/consumers must compensate

    Methods inherited from class com.google.protobuf.GeneratedMessageLite.Builder

    build, buildPartial, clear, clone, copyOnWrite, copyOnWriteInternal, getDefaultInstanceForType, internalMergeFrom, isInitialized, mergeFrom, mergeFrom, mergeFrom, mergeFrom

    Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

    addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException

    Methods inherited from class java.lang.Object

    equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    getDefaultInstanceForType, isInitialized

  • Method Details

    • getDataList

      public List<Integer> getDataList()
       packs two 16-bit numbers per entry - explicitly little-endian
 so big-endian producers/consumers must compensate
      repeated fixed32 data = 1 [json_name = "data", packed = true];
      Specified by:
      getDataList in interface Mlmodel.FlatTensorDataInt16OrBuilder
      Returns:
      A list containing the data.

    • getDataCount

      public int getDataCount()
       packs two 16-bit numbers per entry - explicitly little-endian
 so big-endian producers/consumers must compensate
      repeated fixed32 data = 1 [json_name = "data", packed = true];
      Specified by:
      getDataCount in interface Mlmodel.FlatTensorDataInt16OrBuilder
      Returns:
      The count of data.

    • getData

      public int getData(int index)
       packs two 16-bit numbers per entry - explicitly little-endian
 so big-endian producers/consumers must compensate
      repeated fixed32 data = 1 [json_name = "data", packed = true];
      Specified by:
      getData in interface Mlmodel.FlatTensorDataInt16OrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The data at the given index.

    • setData

      public Mlmodel.FlatTensorDataInt16.Builder setData(int index, int value)
       packs two 16-bit numbers per entry - explicitly little-endian
 so big-endian producers/consumers must compensate
      repeated fixed32 data = 1 [json_name = "data", packed = true];
      Parameters:
      value - The data to set.
      Returns:
      This builder for chaining.

    • addData

      public Mlmodel.FlatTensorDataInt16.Builder addData(int value)
       packs two 16-bit numbers per entry - explicitly little-endian
 so big-endian producers/consumers must compensate
      repeated fixed32 data = 1 [json_name = "data", packed = true];
      Parameters:
      value - The data to add.
      Returns:
      This builder for chaining.

    • addAllData

      public Mlmodel.FlatTensorDataInt16.Builder addAllData(Iterable<? extends Integer> values)
       packs two 16-bit numbers per entry - explicitly little-endian
 so big-endian producers/consumers must compensate
      repeated fixed32 data = 1 [json_name = "data", packed = true];
      Parameters:
      values - The data to add.
      Returns:
      This builder for chaining.

    • clearData

      public Mlmodel.FlatTensorDataInt16.Builder clearData()
       packs two 16-bit numbers per entry - explicitly little-endian
 so big-endian producers/consumers must compensate
      repeated fixed32 data = 1 [json_name = "data", packed = true];
      Returns:
      This builder for chaining.