Package inference

Class GrpcPredictV2.InferTensorContents.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<GrpcPredictV2.InferTensorContents.Builder>
com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>
inference.GrpcPredictV2.InferTensorContents.Builder
All Implemented Interfaces:
com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, GrpcPredictV2.InferTensorContentsOrBuilder, Cloneable
Enclosing class:
GrpcPredictV2.InferTensorContents
public static final class GrpcPredictV2.InferTensorContents.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder> 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

  • Method Details

    • 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.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • clear

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

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • getDefaultInstanceForType

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

    • build

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

    • buildPartial

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

    • clone

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

    • setField

      public GrpcPredictV2.InferTensorContents.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
      Specified by:
      setField in interface com.google.protobuf.Message.Builder
      Overrides:
      setField in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • clearField

      public GrpcPredictV2.InferTensorContents.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
      Specified by:
      clearField in interface com.google.protobuf.Message.Builder
      Overrides:
      clearField in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • clearOneof

      public GrpcPredictV2.InferTensorContents.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
      Specified by:
      clearOneof in interface com.google.protobuf.Message.Builder
      Overrides:
      clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • setRepeatedField

      public GrpcPredictV2.InferTensorContents.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
      Specified by:
      setRepeatedField in interface com.google.protobuf.Message.Builder
      Overrides:
      setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • addRepeatedField

      public GrpcPredictV2.InferTensorContents.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
      Specified by:
      addRepeatedField in interface com.google.protobuf.Message.Builder
      Overrides:
      addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • mergeFrom

      public GrpcPredictV2.InferTensorContents.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • mergeFrom

      public GrpcPredictV2.InferTensorContents.Builder mergeFrom(GrpcPredictV2.InferTensorContents other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • mergeFrom

      public GrpcPredictV2.InferTensorContents.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<GrpcPredictV2.InferTensorContents.Builder>
      Throws:
      IOException

    • 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.

    • setBoolContents

      public GrpcPredictV2.InferTensorContents.Builder setBoolContents(int index, boolean value)
       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;
      Parameters:
      index - The index to set the value at.
      value - The boolContents to set.
      Returns:
      This builder for chaining.

    • addBoolContents

      public GrpcPredictV2.InferTensorContents.Builder addBoolContents(boolean value)
       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;
      Parameters:
      value - The boolContents to add.
      Returns:
      This builder for chaining.

    • addAllBoolContents

      public GrpcPredictV2.InferTensorContents.Builder addAllBoolContents(Iterable<? extends Boolean> values)
       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;
      Parameters:
      values - The boolContents to add.
      Returns:
      This builder for chaining.

    • clearBoolContents

      public GrpcPredictV2.InferTensorContents.Builder clearBoolContents()
       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;
      Returns:
      This builder for chaining.

    • 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.

    • setIntContents

      public GrpcPredictV2.InferTensorContents.Builder setIntContents(int index, int value)
       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;
      Parameters:
      index - The index to set the value at.
      value - The intContents to set.
      Returns:
      This builder for chaining.

    • addIntContents

      public GrpcPredictV2.InferTensorContents.Builder addIntContents(int value)
       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;
      Parameters:
      value - The intContents to add.
      Returns:
      This builder for chaining.

    • addAllIntContents

      public GrpcPredictV2.InferTensorContents.Builder addAllIntContents(Iterable<? extends Integer> values)
       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;
      Parameters:
      values - The intContents to add.
      Returns:
      This builder for chaining.

    • clearIntContents

      public GrpcPredictV2.InferTensorContents.Builder clearIntContents()
       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;
      Returns:
      This builder for chaining.

    • 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.

    • setInt64Contents

      public GrpcPredictV2.InferTensorContents.Builder setInt64Contents(int index, long value)
       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;
      Parameters:
      index - The index to set the value at.
      value - The int64Contents to set.
      Returns:
      This builder for chaining.

    • addInt64Contents

      public GrpcPredictV2.InferTensorContents.Builder addInt64Contents(long value)
       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;
      Parameters:
      value - The int64Contents to add.
      Returns:
      This builder for chaining.

    • addAllInt64Contents

      public GrpcPredictV2.InferTensorContents.Builder addAllInt64Contents(Iterable<? extends Long> values)
       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;
      Parameters:
      values - The int64Contents to add.
      Returns:
      This builder for chaining.

    • clearInt64Contents

      public GrpcPredictV2.InferTensorContents.Builder clearInt64Contents()
       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;
      Returns:
      This builder for chaining.

    • 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.

    • setUintContents

      public GrpcPredictV2.InferTensorContents.Builder setUintContents(int index, int value)
       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;
      Parameters:
      index - The index to set the value at.
      value - The uintContents to set.
      Returns:
      This builder for chaining.

    • addUintContents

      public GrpcPredictV2.InferTensorContents.Builder addUintContents(int value)
       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;
      Parameters:
      value - The uintContents to add.
      Returns:
      This builder for chaining.

    • addAllUintContents

      public GrpcPredictV2.InferTensorContents.Builder addAllUintContents(Iterable<? extends Integer> values)
       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;
      Parameters:
      values - The uintContents to add.
      Returns:
      This builder for chaining.

    • clearUintContents

      public GrpcPredictV2.InferTensorContents.Builder clearUintContents()
       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;
      Returns:
      This builder for chaining.

    • 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.

    • setUint64Contents

      public GrpcPredictV2.InferTensorContents.Builder setUint64Contents(int index, long value)
       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;
      Parameters:
      index - The index to set the value at.
      value - The uint64Contents to set.
      Returns:
      This builder for chaining.

    • addUint64Contents

      public GrpcPredictV2.InferTensorContents.Builder addUint64Contents(long value)
       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;
      Parameters:
      value - The uint64Contents to add.
      Returns:
      This builder for chaining.

    • addAllUint64Contents

      public GrpcPredictV2.InferTensorContents.Builder addAllUint64Contents(Iterable<? extends Long> values)
       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;
      Parameters:
      values - The uint64Contents to add.
      Returns:
      This builder for chaining.

    • clearUint64Contents

      public GrpcPredictV2.InferTensorContents.Builder clearUint64Contents()
       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;
      Returns:
      This builder for chaining.

    • 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.

    • setFp32Contents

      public GrpcPredictV2.InferTensorContents.Builder setFp32Contents(int index, float value)
       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;
      Parameters:
      index - The index to set the value at.
      value - The fp32Contents to set.
      Returns:
      This builder for chaining.

    • addFp32Contents

      public GrpcPredictV2.InferTensorContents.Builder addFp32Contents(float value)
       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;
      Parameters:
      value - The fp32Contents to add.
      Returns:
      This builder for chaining.

    • addAllFp32Contents

      public GrpcPredictV2.InferTensorContents.Builder addAllFp32Contents(Iterable<? extends Float> values)
       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;
      Parameters:
      values - The fp32Contents to add.
      Returns:
      This builder for chaining.

    • clearFp32Contents

      public GrpcPredictV2.InferTensorContents.Builder clearFp32Contents()
       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;
      Returns:
      This builder for chaining.

    • 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.

    • setFp64Contents

      public GrpcPredictV2.InferTensorContents.Builder setFp64Contents(int index, double value)
       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;
      Parameters:
      index - The index to set the value at.
      value - The fp64Contents to set.
      Returns:
      This builder for chaining.

    • addFp64Contents

      public GrpcPredictV2.InferTensorContents.Builder addFp64Contents(double value)
       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;
      Parameters:
      value - The fp64Contents to add.
      Returns:
      This builder for chaining.

    • addAllFp64Contents

      public GrpcPredictV2.InferTensorContents.Builder addAllFp64Contents(Iterable<? extends Double> values)
       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;
      Parameters:
      values - The fp64Contents to add.
      Returns:
      This builder for chaining.

    • clearFp64Contents

      public GrpcPredictV2.InferTensorContents.Builder clearFp64Contents()
       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;
      Returns:
      This builder for chaining.

    • 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.

    • setBytesContents

      public GrpcPredictV2.InferTensorContents.Builder setBytesContents(int index, com.google.protobuf.ByteString value)
       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;
      Parameters:
      index - The index to set the value at.
      value - The bytesContents to set.
      Returns:
      This builder for chaining.

    • addBytesContents

      public GrpcPredictV2.InferTensorContents.Builder addBytesContents(com.google.protobuf.ByteString value)
       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;
      Parameters:
      value - The bytesContents to add.
      Returns:
      This builder for chaining.

    • addAllBytesContents

      public GrpcPredictV2.InferTensorContents.Builder addAllBytesContents(Iterable<? extends com.google.protobuf.ByteString> values)
       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;
      Parameters:
      values - The bytesContents to add.
      Returns:
      This builder for chaining.

    • clearBytesContents

      public GrpcPredictV2.InferTensorContents.Builder clearBytesContents()
       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;
      Returns:
      This builder for chaining.

    • setUnknownFields

      public final GrpcPredictV2.InferTensorContents.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
      Specified by:
      setUnknownFields in interface com.google.protobuf.Message.Builder
      Overrides:
      setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>

    • mergeUnknownFields

      public final GrpcPredictV2.InferTensorContents.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
      Specified by:
      mergeUnknownFields in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.InferTensorContents.Builder>