Package com.viam.service.mlmodel.v1

Class Mlmodel.FlatTensor

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

  • Nested Class Summary

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

    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
    DOUBLE_TENSOR_FIELD_NUMBER
     
    static final int
    FLOAT_TENSOR_FIELD_NUMBER
     
    static final int
    INT16_TENSOR_FIELD_NUMBER
     
    static final int
    INT32_TENSOR_FIELD_NUMBER
     
    static final int
    INT64_TENSOR_FIELD_NUMBER
     
    static final int
    INT8_TENSOR_FIELD_NUMBER
     
    static final int
    SHAPE_FIELD_NUMBER
     
    static final int
    UINT16_TENSOR_FIELD_NUMBER
     
    static final int
    UINT32_TENSOR_FIELD_NUMBER
     
    static final int
    UINT64_TENSOR_FIELD_NUMBER
     
    static final int
    UINT8_TENSOR_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)
     
    static Mlmodel.FlatTensor
    getDefaultInstance()
     
    Mlmodel.FlatTensorDataDouble
    getDoubleTensor()
    .viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];
    Mlmodel.FlatTensorDataFloat
    getFloatTensor()
    .viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];
    Mlmodel.FlatTensorDataInt16
    getInt16Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];
    Mlmodel.FlatTensorDataInt32
    getInt32Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];
    Mlmodel.FlatTensorDataInt64
    getInt64Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];
    Mlmodel.FlatTensorDataInt8
    getInt8Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];
    long
    getShape(int index)
    the shape of the provided tensor as a list of integer extents
    int
    getShapeCount()
    the shape of the provided tensor as a list of integer extents
    List<Long>
    getShapeList()
    the shape of the provided tensor as a list of integer extents
    Mlmodel.FlatTensor.TensorCase
    getTensorCase()
     
    Mlmodel.FlatTensorDataUInt16
    getUint16Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];
    Mlmodel.FlatTensorDataUInt32
    getUint32Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];
    Mlmodel.FlatTensorDataUInt64
    getUint64Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];
    Mlmodel.FlatTensorDataUInt8
    getUint8Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];
    boolean
    hasDoubleTensor()
    .viam.service.mlmodel.v1.FlatTensorDataDouble double_tensor = 11 [json_name = "doubleTensor"];
    boolean
    hasFloatTensor()
    .viam.service.mlmodel.v1.FlatTensorDataFloat float_tensor = 10 [json_name = "floatTensor"];
    boolean
    hasInt16Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataInt16 int16_tensor = 4 [json_name = "int16Tensor"];
    boolean
    hasInt32Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataInt32 int32_tensor = 6 [json_name = "int32Tensor"];
    boolean
    hasInt64Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataInt64 int64_tensor = 8 [json_name = "int64Tensor"];
    boolean
    hasInt8Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataInt8 int8_tensor = 2 [json_name = "int8Tensor"];
    boolean
    hasUint16Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataUInt16 uint16_tensor = 5 [json_name = "uint16Tensor"];
    boolean
    hasUint32Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataUInt32 uint32_tensor = 7 [json_name = "uint32Tensor"];
    boolean
    hasUint64Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataUInt64 uint64_tensor = 9 [json_name = "uint64Tensor"];
    boolean
    hasUint8Tensor()
    .viam.service.mlmodel.v1.FlatTensorDataUInt8 uint8_tensor = 3 [json_name = "uint8Tensor"];
    static Mlmodel.FlatTensor.Builder
    newBuilder()
     
    static Mlmodel.FlatTensor.Builder
    newBuilder(Mlmodel.FlatTensor prototype)
     
    static Mlmodel.FlatTensor
    parseDelimitedFrom(InputStream input)
     
    static Mlmodel.FlatTensor
    parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.FlatTensor
    parseFrom(byte[] data)
     
    static Mlmodel.FlatTensor
    parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.FlatTensor
    parseFrom(com.google.protobuf.ByteString data)
     
    static Mlmodel.FlatTensor
    parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.FlatTensor
    parseFrom(com.google.protobuf.CodedInputStream input)
     
    static Mlmodel.FlatTensor
    parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.FlatTensor
    parseFrom(InputStream input)
     
    static Mlmodel.FlatTensor
    parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static Mlmodel.FlatTensor
    parseFrom(ByteBuffer data)
     
    static Mlmodel.FlatTensor
    parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static com.google.protobuf.Parser<Mlmodel.FlatTensor>
    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