Package com.viam.service.mlmodel.v1

Class Mlmodel.TensorInfo

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

  • Nested Class Summary

    Nested Classes
    Modifier and Type
    Class
    Description
    static final class 
    Mlmodel.TensorInfo.Builder
    Protobuf type viam.service.mlmodel.v1.TensorInfo

    Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageLite

    com.google.protobuf.GeneratedMessageLite.DefaultInstanceBasedParser<T extends com.google.protobuf.GeneratedMessageLite<T,?>>, com.google.protobuf.GeneratedMessageLite.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageLite.ExtendableMessage<MessageType,BuilderType>,BuilderType extends com.google.protobuf.GeneratedMessageLite.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageLite.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageLite.ExtendableMessage<MessageType,BuilderType>,BuilderType extends com.google.protobuf.GeneratedMessageLite.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageLite.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageLite.ExtendableMessage<MessageType,BuilderType>,BuilderType extends com.google.protobuf.GeneratedMessageLite.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageLite.GeneratedExtension<ContainingType extends com.google.protobuf.MessageLite,Type extends Object>, com.google.protobuf.GeneratedMessageLite.MethodToInvoke, com.google.protobuf.GeneratedMessageLite.SerializedForm

    Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

    com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    static final int
    ASSOCIATED_FILES_FIELD_NUMBER
     
    static final int
    DATA_TYPE_FIELD_NUMBER
     
    static final int
    DESCRIPTION_FIELD_NUMBER
     
    static final int
    EXTRA_FIELD_NUMBER
     
    static final int
    NAME_FIELD_NUMBER
     
    static final int
    SHAPE_FIELD_NUMBER
     

    Fields inherited from class com.google.protobuf.GeneratedMessageLite

    unknownFields

    Fields inherited from class com.google.protobuf.AbstractMessageLite

    memoizedHashCode

  • Method Summary

    Modifier and Type
    Method
    Description
    protected final Object
    dynamicMethod(com.google.protobuf.GeneratedMessageLite.MethodToInvoke method, Object arg0, Object arg1)
     
    Mlmodel.File
    getAssociatedFiles(int index)
    files associated with the array/tensor, like for category labels
    int
    getAssociatedFilesCount()
    files associated with the array/tensor, like for category labels
    List<Mlmodel.File>
    getAssociatedFilesList()
    files associated with the array/tensor, like for category labels
    Mlmodel.FileOrBuilder
    getAssociatedFilesOrBuilder(int index)
    files associated with the array/tensor, like for category labels
    List<? extends Mlmodel.FileOrBuilder>
    getAssociatedFilesOrBuilderList()
    files associated with the array/tensor, like for category labels
    String
    getDataType()
    data type of the array/tensor, e.g.
    com.google.protobuf.ByteString
    getDataTypeBytes()
    data type of the array/tensor, e.g.
    static Mlmodel.TensorInfo
    getDefaultInstance()
     
    String
    getDescription()
    description of the data in the array/tensor
    com.google.protobuf.ByteString
    getDescriptionBytes()
    description of the data in the array/tensor
    com.google.protobuf.Struct
    getExtra()
    anything else you want to say
    String
    getName()
    name of the data in the array/tensor
    com.google.protobuf.ByteString
    getNameBytes()
    name of the data in the array/tensor
    int
    getShape(int index)
    shape of the array/tensor (-1 for unknown)
    int
    getShapeCount()
    shape of the array/tensor (-1 for unknown)
    List<Integer>
    getShapeList()
    shape of the array/tensor (-1 for unknown)
    boolean
    hasExtra()
    anything else you want to say
    static Mlmodel.TensorInfo.Builder
    newBuilder()
     
    static Mlmodel.TensorInfo.Builder
    newBuilder(Mlmodel.TensorInfo prototype)
     
    static Mlmodel.TensorInfo
    parseDelimitedFrom(InputStream input)
     
    static Mlmodel.TensorInfo
    parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.TensorInfo
    parseFrom(byte[] data)
     
    static Mlmodel.TensorInfo
    parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.TensorInfo
    parseFrom(com.google.protobuf.ByteString data)
     
    static Mlmodel.TensorInfo
    parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.TensorInfo
    parseFrom(com.google.protobuf.CodedInputStream input)
     
    static Mlmodel.TensorInfo
    parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.TensorInfo
    parseFrom(InputStream input)
     
    static Mlmodel.TensorInfo
    parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.TensorInfo
    parseFrom(ByteBuffer data)
     
    static Mlmodel.TensorInfo
    parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static com.google.protobuf.Parser<Mlmodel.TensorInfo>
    parser()
     

    Methods inherited from class com.google.protobuf.GeneratedMessageLite

    createBuilder, createBuilder, dynamicMethod, dynamicMethod, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, emptyProtobufList, equals, getDefaultInstanceForType, getParserForType, getSerializedSize, hashCode, isInitialized, isInitialized, makeImmutable, mergeLengthDelimitedField, mergeUnknownFields, mergeVarintField, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBuilderForType, newMessageInfo, newRepeatedGeneratedExtension, newSingularGeneratedExtension, parseDelimitedFrom, parseDelimitedFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parsePartialFrom, parseUnknownField, registerDefaultInstance, toBuilder, toString, writeTo

    Methods inherited from class com.google.protobuf.AbstractMessageLite

    addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

    Methods inherited from class java.lang.Object

    clone, finalize, getClass, notify, notifyAll, wait, wait, wait

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    getDefaultInstanceForType, isInitialized

  • Field Details

  • Method Details

    • getName

      public String getName()
       name of the data in the array/tensor
      string name = 1 [json_name = "name"];
      Specified by:
      getName in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      The name.

    • getNameBytes

      public com.google.protobuf.ByteString getNameBytes()
       name of the data in the array/tensor
      string name = 1 [json_name = "name"];
      Specified by:
      getNameBytes in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      The bytes for name.

    • getDescription

      public String getDescription()
       description of the data in the array/tensor
      string description = 2 [json_name = "description"];
      Specified by:
      getDescription in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      The description.

    • getDescriptionBytes

      public com.google.protobuf.ByteString getDescriptionBytes()
       description of the data in the array/tensor
      string description = 2 [json_name = "description"];
      Specified by:
      getDescriptionBytes in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      The bytes for description.

    • getDataType

      public String getDataType()
       data type of the array/tensor, e.g. float32, float64, uint8
      string data_type = 3 [json_name = "dataType"];
      Specified by:
      getDataType in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      The dataType.

    • getDataTypeBytes

      public com.google.protobuf.ByteString getDataTypeBytes()
       data type of the array/tensor, e.g. float32, float64, uint8
      string data_type = 3 [json_name = "dataType"];
      Specified by:
      getDataTypeBytes in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      The bytes for dataType.

    • getShapeList

      public List<Integer> getShapeList()
       shape of the array/tensor (-1 for unknown)
      repeated int32 shape = 4 [json_name = "shape"];
      Specified by:
      getShapeList in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      A list containing the shape.

    • getShapeCount

      public int getShapeCount()
       shape of the array/tensor (-1 for unknown)
      repeated int32 shape = 4 [json_name = "shape"];
      Specified by:
      getShapeCount in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      The count of shape.

    • getShape

      public int getShape(int index)
       shape of the array/tensor (-1 for unknown)
      repeated int32 shape = 4 [json_name = "shape"];
      Specified by:
      getShape in interface Mlmodel.TensorInfoOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The shape at the given index.

    • getAssociatedFilesList

      public List<Mlmodel.File> getAssociatedFilesList()
       files associated with the array/tensor, like for category labels
      repeated .viam.service.mlmodel.v1.File associated_files = 5 [json_name = "associatedFiles"];
      Specified by:
      getAssociatedFilesList in interface Mlmodel.TensorInfoOrBuilder

    • getAssociatedFilesOrBuilderList

      public List<? extends Mlmodel.FileOrBuilder> getAssociatedFilesOrBuilderList()
       files associated with the array/tensor, like for category labels
      repeated .viam.service.mlmodel.v1.File associated_files = 5 [json_name = "associatedFiles"];

    • getAssociatedFilesCount

      public int getAssociatedFilesCount()
       files associated with the array/tensor, like for category labels
      repeated .viam.service.mlmodel.v1.File associated_files = 5 [json_name = "associatedFiles"];
      Specified by:
      getAssociatedFilesCount in interface Mlmodel.TensorInfoOrBuilder

    • getAssociatedFiles

      public Mlmodel.File getAssociatedFiles(int index)
       files associated with the array/tensor, like for category labels
      repeated .viam.service.mlmodel.v1.File associated_files = 5 [json_name = "associatedFiles"];
      Specified by:
      getAssociatedFiles in interface Mlmodel.TensorInfoOrBuilder

    • getAssociatedFilesOrBuilder

      public Mlmodel.FileOrBuilder getAssociatedFilesOrBuilder(int index)
       files associated with the array/tensor, like for category labels
      repeated .viam.service.mlmodel.v1.File associated_files = 5 [json_name = "associatedFiles"];

    • hasExtra

      public boolean hasExtra()
       anything else you want to say
      .google.protobuf.Struct extra = 99 [json_name = "extra"];
      Specified by:
      hasExtra in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      Whether the extra field is set.

    • getExtra

      public com.google.protobuf.Struct getExtra()
       anything else you want to say
      .google.protobuf.Struct extra = 99 [json_name = "extra"];
      Specified by:
      getExtra in interface Mlmodel.TensorInfoOrBuilder
      Returns:
      The extra.

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static Mlmodel.TensorInfo parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static Mlmodel.TensorInfo parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static Mlmodel.TensorInfo parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • newBuilder

      public static Mlmodel.TensorInfo.Builder newBuilder()

    • newBuilder

      public static Mlmodel.TensorInfo.Builder newBuilder(Mlmodel.TensorInfo prototype)

    • dynamicMethod

      protected final Object dynamicMethod(com.google.protobuf.GeneratedMessageLite.MethodToInvoke method, Object arg0, Object arg1)
      Specified by:
      dynamicMethod in class com.google.protobuf.GeneratedMessageLite<Mlmodel.TensorInfo,Mlmodel.TensorInfo.Builder>

    • getDefaultInstance

      public static Mlmodel.TensorInfo getDefaultInstance()

    • parser

      public static com.google.protobuf.Parser<Mlmodel.TensorInfo> parser()