Package inference

Class GrpcPredictV2.InferTensorContents

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessageV3
inference.GrpcPredictV2.InferTensorContents
All Implemented Interfaces:
com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, GrpcPredictV2.InferTensorContentsOrBuilder, Serializable
Enclosing class:
GrpcPredictV2
public static final class GrpcPredictV2.InferTensorContents extends com.google.protobuf.GeneratedMessageV3 implements GrpcPredictV2.InferTensorContentsOrBuilder
 The data contained in a tensor represented by the repeated type
 that matches the tensor's data type. Protobuf oneof is not used
 because oneofs cannot contain repeated fields.
Protobuf type inference.InferTensorContents
See Also:

  • Field Details

    • BOOL_CONTENTS_FIELD_NUMBER

      public static final int BOOL_CONTENTS_FIELD_NUMBER
      See Also:

    • INT_CONTENTS_FIELD_NUMBER

      public static final int INT_CONTENTS_FIELD_NUMBER
      See Also:

    • INT64_CONTENTS_FIELD_NUMBER

      public static final int INT64_CONTENTS_FIELD_NUMBER
      See Also:

    • UINT_CONTENTS_FIELD_NUMBER

      public static final int UINT_CONTENTS_FIELD_NUMBER
      See Also:

    • UINT64_CONTENTS_FIELD_NUMBER

      public static final int UINT64_CONTENTS_FIELD_NUMBER
      See Also:

    • FP32_CONTENTS_FIELD_NUMBER

      public static final int FP32_CONTENTS_FIELD_NUMBER
      See Also:

    • FP64_CONTENTS_FIELD_NUMBER

      public static final int FP64_CONTENTS_FIELD_NUMBER
      See Also:

    • BYTES_CONTENTS_FIELD_NUMBER

      public static final int BYTES_CONTENTS_FIELD_NUMBER
      See Also:

  • Method Details

    • newInstance

      protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
      Overrides:
      newInstance in class com.google.protobuf.GeneratedMessageV3

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

    • getBoolContentsList

      public List<Boolean> getBoolContentsList()
       Representation for BOOL data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated bool bool_contents = 1;
      Specified by:
      getBoolContentsList in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      A list containing the boolContents.

    • getBoolContentsCount

      public int getBoolContentsCount()
       Representation for BOOL data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated bool bool_contents = 1;
      Specified by:
      getBoolContentsCount in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      The count of boolContents.

    • getBoolContents

      public boolean getBoolContents(int index)
       Representation for BOOL data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated bool bool_contents = 1;
      Specified by:
      getBoolContents in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The boolContents at the given index.

    • getIntContentsList

      public List<Integer> getIntContentsList()
       Representation for INT8, INT16, and INT32 data types. The size
 must match what is expected by the tensor's shape. The contents
 must be the flattened, one-dimensional, row-major order of the
 tensor elements.
      repeated int32 int_contents = 2;
      Specified by:
      getIntContentsList in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      A list containing the intContents.

    • getIntContentsCount

      public int getIntContentsCount()
       Representation for INT8, INT16, and INT32 data types. The size
 must match what is expected by the tensor's shape. The contents
 must be the flattened, one-dimensional, row-major order of the
 tensor elements.
      repeated int32 int_contents = 2;
      Specified by:
      getIntContentsCount in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      The count of intContents.

    • getIntContents

      public int getIntContents(int index)
       Representation for INT8, INT16, and INT32 data types. The size
 must match what is expected by the tensor's shape. The contents
 must be the flattened, one-dimensional, row-major order of the
 tensor elements.
      repeated int32 int_contents = 2;
      Specified by:
      getIntContents in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The intContents at the given index.

    • getInt64ContentsList

      public List<Long> getInt64ContentsList()
       Representation for INT64 data types. The size must match what
 is expected by the tensor's shape. The contents must be the
 flattened, one-dimensional, row-major order of the tensor elements.
      repeated int64 int64_contents = 3;
      Specified by:
      getInt64ContentsList in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      A list containing the int64Contents.

    • getInt64ContentsCount

      public int getInt64ContentsCount()
       Representation for INT64 data types. The size must match what
 is expected by the tensor's shape. The contents must be the
 flattened, one-dimensional, row-major order of the tensor elements.
      repeated int64 int64_contents = 3;
      Specified by:
      getInt64ContentsCount in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      The count of int64Contents.

    • getInt64Contents

      public long getInt64Contents(int index)
       Representation for INT64 data types. The size must match what
 is expected by the tensor's shape. The contents must be the
 flattened, one-dimensional, row-major order of the tensor elements.
      repeated int64 int64_contents = 3;
      Specified by:
      getInt64Contents in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The int64Contents at the given index.

    • getUintContentsList

      public List<Integer> getUintContentsList()
       Representation for UINT8, UINT16, and UINT32 data types. The size
 must match what is expected by the tensor's shape. The contents
 must be the flattened, one-dimensional, row-major order of the
 tensor elements.
      repeated uint32 uint_contents = 4;
      Specified by:
      getUintContentsList in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      A list containing the uintContents.

    • getUintContentsCount

      public int getUintContentsCount()
       Representation for UINT8, UINT16, and UINT32 data types. The size
 must match what is expected by the tensor's shape. The contents
 must be the flattened, one-dimensional, row-major order of the
 tensor elements.
      repeated uint32 uint_contents = 4;
      Specified by:
      getUintContentsCount in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      The count of uintContents.

    • getUintContents

      public int getUintContents(int index)
       Representation for UINT8, UINT16, and UINT32 data types. The size
 must match what is expected by the tensor's shape. The contents
 must be the flattened, one-dimensional, row-major order of the
 tensor elements.
      repeated uint32 uint_contents = 4;
      Specified by:
      getUintContents in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The uintContents at the given index.

    • getUint64ContentsList

      public List<Long> getUint64ContentsList()
       Representation for UINT64 data types. The size must match what
 is expected by the tensor's shape. The contents must be the
 flattened, one-dimensional, row-major order of the tensor elements.
      repeated uint64 uint64_contents = 5;
      Specified by:
      getUint64ContentsList in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      A list containing the uint64Contents.

    • getUint64ContentsCount

      public int getUint64ContentsCount()
       Representation for UINT64 data types. The size must match what
 is expected by the tensor's shape. The contents must be the
 flattened, one-dimensional, row-major order of the tensor elements.
      repeated uint64 uint64_contents = 5;
      Specified by:
      getUint64ContentsCount in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      The count of uint64Contents.

    • getUint64Contents

      public long getUint64Contents(int index)
       Representation for UINT64 data types. The size must match what
 is expected by the tensor's shape. The contents must be the
 flattened, one-dimensional, row-major order of the tensor elements.
      repeated uint64 uint64_contents = 5;
      Specified by:
      getUint64Contents in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The uint64Contents at the given index.

    • getFp32ContentsList

      public List<Float> getFp32ContentsList()
       Representation for FP32 data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated float fp32_contents = 6;
      Specified by:
      getFp32ContentsList in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      A list containing the fp32Contents.

    • getFp32ContentsCount

      public int getFp32ContentsCount()
       Representation for FP32 data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated float fp32_contents = 6;
      Specified by:
      getFp32ContentsCount in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      The count of fp32Contents.

    • getFp32Contents

      public float getFp32Contents(int index)
       Representation for FP32 data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated float fp32_contents = 6;
      Specified by:
      getFp32Contents in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The fp32Contents at the given index.

    • getFp64ContentsList

      public List<Double> getFp64ContentsList()
       Representation for FP64 data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated double fp64_contents = 7;
      Specified by:
      getFp64ContentsList in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      A list containing the fp64Contents.

    • getFp64ContentsCount

      public int getFp64ContentsCount()
       Representation for FP64 data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated double fp64_contents = 7;
      Specified by:
      getFp64ContentsCount in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      The count of fp64Contents.

    • getFp64Contents

      public double getFp64Contents(int index)
       Representation for FP64 data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated double fp64_contents = 7;
      Specified by:
      getFp64Contents in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The fp64Contents at the given index.

    • getBytesContentsList

      public List<com.google.protobuf.ByteString> getBytesContentsList()
       Representation for BYTES data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated bytes bytes_contents = 8;
      Specified by:
      getBytesContentsList in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      A list containing the bytesContents.

    • getBytesContentsCount

      public int getBytesContentsCount()
       Representation for BYTES data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated bytes bytes_contents = 8;
      Specified by:
      getBytesContentsCount in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Returns:
      The count of bytesContents.

    • getBytesContents

      public com.google.protobuf.ByteString getBytesContents(int index)
       Representation for BYTES data type. The size must match what is
 expected by the tensor's shape. The contents must be the flattened,
 one-dimensional, row-major order of the tensor elements.
      repeated bytes bytes_contents = 8;
      Specified by:
      getBytesContents in interface GrpcPredictV2.InferTensorContentsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The bytesContents at the given index.

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessageV3

    • writeTo

      public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
      Specified by:
      writeTo in interface com.google.protobuf.MessageLite
      Overrides:
      writeTo in class com.google.protobuf.GeneratedMessageV3
      Throws:
      IOException

    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessageV3

    • equals

      public boolean equals(Object obj)
      Specified by:
      equals in interface com.google.protobuf.Message
      Overrides:
      equals in class com.google.protobuf.AbstractMessage

    • hashCode

      public int hashCode()
      Specified by:
      hashCode in interface com.google.protobuf.Message
      Overrides:
      hashCode in class com.google.protobuf.AbstractMessage

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static GrpcPredictV2.InferTensorContents parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static GrpcPredictV2.InferTensorContents parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static GrpcPredictV2.InferTensorContents parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • newBuilderForType

      public GrpcPredictV2.InferTensorContents.Builder newBuilderForType()
      Specified by:
      newBuilderForType in interface com.google.protobuf.Message
      Specified by:
      newBuilderForType in interface com.google.protobuf.MessageLite

    • newBuilder

      public static GrpcPredictV2.InferTensorContents.Builder newBuilder()

    • newBuilder

      public static GrpcPredictV2.InferTensorContents.Builder newBuilder(GrpcPredictV2.InferTensorContents prototype)

    • toBuilder

      public GrpcPredictV2.InferTensorContents.Builder toBuilder()
      Specified by:
      toBuilder in interface com.google.protobuf.Message
      Specified by:
      toBuilder in interface com.google.protobuf.MessageLite

    • newBuilderForType

      protected GrpcPredictV2.InferTensorContents.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
      Specified by:
      newBuilderForType in class com.google.protobuf.GeneratedMessageV3

    • getDefaultInstance

      public static GrpcPredictV2.InferTensorContents getDefaultInstance()

    • parser

      public static com.google.protobuf.Parser<GrpcPredictV2.InferTensorContents> parser()

    • getParserForType

      public com.google.protobuf.Parser<GrpcPredictV2.InferTensorContents> getParserForType()
      Specified by:
      getParserForType in interface com.google.protobuf.Message
      Specified by:
      getParserForType in interface com.google.protobuf.MessageLite
      Overrides:
      getParserForType in class com.google.protobuf.GeneratedMessageV3

    • getDefaultInstanceForType

      public GrpcPredictV2.InferTensorContents getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder