Package inference

Class GrpcService.ModelInferResponse.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<GrpcService.ModelInferResponse.Builder>
com.google.protobuf.GeneratedMessageV3.Builder<GrpcService.ModelInferResponse.Builder>
inference.GrpcService.ModelInferResponse.Builder
All Implemented Interfaces:
com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, GrpcService.ModelInferResponseOrBuilder, Cloneable
Enclosing class:
GrpcService.ModelInferResponse
public static final class GrpcService.ModelInferResponse.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<GrpcService.ModelInferResponse.Builder> implements GrpcService.ModelInferResponseOrBuilder
@@
@@.. cpp:var:: message ModelInferResponse
@@
@@   Response message for ModelInfer.
@@
Protobuf type inference.ModelInferResponse

  • Method Details

    • getDescriptor

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

    • internalGetMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
      Overrides:
      internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcService.ModelInferResponse.Builder>

    • internalGetMutableMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
      Overrides:
      internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcService.ModelInferResponse.Builder>

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcService.ModelInferResponse.Builder>

    • clear

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • getDefaultInstanceForType

      public GrpcService.ModelInferResponse getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

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

    • buildPartial

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

    • clone

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • setField

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • clearField

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • clearOneof

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • setRepeatedField

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • addRepeatedField

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • mergeFrom

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • mergeFrom

      public GrpcService.ModelInferResponse.Builder mergeFrom(GrpcService.ModelInferResponse other)

    • isInitialized

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

    • mergeFrom

      public GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>
      Throws:
      IOException

    • getModelName

      public String getModelName()
      @@  .. cpp:var:: string model_name
@@
@@     The name of the model used for inference.
@@
      string model_name = 1;
      Specified by:
      getModelName in interface GrpcService.ModelInferResponseOrBuilder
      Returns:
      The modelName.

    • getModelNameBytes

      public com.google.protobuf.ByteString getModelNameBytes()
      @@  .. cpp:var:: string model_name
@@
@@     The name of the model used for inference.
@@
      string model_name = 1;
      Specified by:
      getModelNameBytes in interface GrpcService.ModelInferResponseOrBuilder
      Returns:
      The bytes for modelName.

    • setModelName

      public GrpcService.ModelInferResponse.Builder setModelName(String value)
      @@  .. cpp:var:: string model_name
@@
@@     The name of the model used for inference.
@@
      string model_name = 1;
      Parameters:
      value - The modelName to set.
      Returns:
      This builder for chaining.

    • clearModelName

      public GrpcService.ModelInferResponse.Builder clearModelName()
      @@  .. cpp:var:: string model_name
@@
@@     The name of the model used for inference.
@@
      string model_name = 1;
      Returns:
      This builder for chaining.

    • setModelNameBytes

      public GrpcService.ModelInferResponse.Builder setModelNameBytes(com.google.protobuf.ByteString value)
      @@  .. cpp:var:: string model_name
@@
@@     The name of the model used for inference.
@@
      string model_name = 1;
      Parameters:
      value - The bytes for modelName to set.
      Returns:
      This builder for chaining.

    • getModelVersion

      public String getModelVersion()
      @@  .. cpp:var:: string model_version
@@
@@     The version of the model used for inference.
@@
      string model_version = 2;
      Specified by:
      getModelVersion in interface GrpcService.ModelInferResponseOrBuilder
      Returns:
      The modelVersion.

    • getModelVersionBytes

      public com.google.protobuf.ByteString getModelVersionBytes()
      @@  .. cpp:var:: string model_version
@@
@@     The version of the model used for inference.
@@
      string model_version = 2;
      Specified by:
      getModelVersionBytes in interface GrpcService.ModelInferResponseOrBuilder
      Returns:
      The bytes for modelVersion.

    • setModelVersion

      public GrpcService.ModelInferResponse.Builder setModelVersion(String value)
      @@  .. cpp:var:: string model_version
@@
@@     The version of the model used for inference.
@@
      string model_version = 2;
      Parameters:
      value - The modelVersion to set.
      Returns:
      This builder for chaining.

    • clearModelVersion

      public GrpcService.ModelInferResponse.Builder clearModelVersion()
      @@  .. cpp:var:: string model_version
@@
@@     The version of the model used for inference.
@@
      string model_version = 2;
      Returns:
      This builder for chaining.

    • setModelVersionBytes

      public GrpcService.ModelInferResponse.Builder setModelVersionBytes(com.google.protobuf.ByteString value)
      @@  .. cpp:var:: string model_version
@@
@@     The version of the model used for inference.
@@
      string model_version = 2;
      Parameters:
      value - The bytes for modelVersion to set.
      Returns:
      This builder for chaining.

    • getId

      public String getId()
      @@  .. cpp:var:: string id
@@
@@     The id of the inference request if one was specified.
@@
      string id = 3;
      Specified by:
      getId in interface GrpcService.ModelInferResponseOrBuilder
      Returns:
      The id.

    • getIdBytes

      public com.google.protobuf.ByteString getIdBytes()
      @@  .. cpp:var:: string id
@@
@@     The id of the inference request if one was specified.
@@
      string id = 3;
      Specified by:
      getIdBytes in interface GrpcService.ModelInferResponseOrBuilder
      Returns:
      The bytes for id.

    • setId

      public GrpcService.ModelInferResponse.Builder setId(String value)
      @@  .. cpp:var:: string id
@@
@@     The id of the inference request if one was specified.
@@
      string id = 3;
      Parameters:
      value - The id to set.
      Returns:
      This builder for chaining.

    • clearId

      public GrpcService.ModelInferResponse.Builder clearId()
      @@  .. cpp:var:: string id
@@
@@     The id of the inference request if one was specified.
@@
      string id = 3;
      Returns:
      This builder for chaining.

    • setIdBytes

      public GrpcService.ModelInferResponse.Builder setIdBytes(com.google.protobuf.ByteString value)
      @@  .. cpp:var:: string id
@@
@@     The id of the inference request if one was specified.
@@
      string id = 3;
      Parameters:
      value - The bytes for id to set.
      Returns:
      This builder for chaining.

    • getParametersCount

      public int getParametersCount()
      Description copied from interface: GrpcService.ModelInferResponseOrBuilder
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;
      Specified by:
      getParametersCount in interface GrpcService.ModelInferResponseOrBuilder

    • containsParameters

      public boolean containsParameters(String key)
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;
      Specified by:
      containsParameters in interface GrpcService.ModelInferResponseOrBuilder

    • getParameters

      @Deprecated public Map<String,GrpcService.InferParameter> getParameters()
      Deprecated.
      Use getParametersMap() instead.
      Specified by:
      getParameters in interface GrpcService.ModelInferResponseOrBuilder

    • getParametersMap

      public Map<String,GrpcService.InferParameter> getParametersMap()
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;
      Specified by:
      getParametersMap in interface GrpcService.ModelInferResponseOrBuilder

    • getParametersOrDefault

      public GrpcService.InferParameter getParametersOrDefault(String key, GrpcService.InferParameter defaultValue)
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;
      Specified by:
      getParametersOrDefault in interface GrpcService.ModelInferResponseOrBuilder

    • getParametersOrThrow

      public GrpcService.InferParameter getParametersOrThrow(String key)
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;
      Specified by:
      getParametersOrThrow in interface GrpcService.ModelInferResponseOrBuilder

    • clearParameters

      public GrpcService.ModelInferResponse.Builder clearParameters()

    • removeParameters

      public GrpcService.ModelInferResponse.Builder removeParameters(String key)
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;

    • getMutableParameters

      @Deprecated public Map<String,GrpcService.InferParameter> getMutableParameters()
      Deprecated.
      Use alternate mutation accessors instead.

    • putParameters

      public GrpcService.ModelInferResponse.Builder putParameters(String key, GrpcService.InferParameter value)
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;

    • putAllParameters

      public GrpcService.ModelInferResponse.Builder putAllParameters(Map<String,GrpcService.InferParameter> values)
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;

    • putParametersBuilderIfAbsent

      public GrpcService.InferParameter.Builder putParametersBuilderIfAbsent(String key)
      @@  .. cpp:var:: map<string,InferParameter> parameters
@@
@@     Optional inference response parameters.
@@
      map<string, .inference.InferParameter> parameters = 4;

    • getOutputsList

      public List<GrpcService.ModelInferResponse.InferOutputTensor> getOutputsList()
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;
      Specified by:
      getOutputsList in interface GrpcService.ModelInferResponseOrBuilder

    • getOutputsCount

      public int getOutputsCount()
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;
      Specified by:
      getOutputsCount in interface GrpcService.ModelInferResponseOrBuilder

    • getOutputs

      public GrpcService.ModelInferResponse.InferOutputTensor getOutputs(int index)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;
      Specified by:
      getOutputs in interface GrpcService.ModelInferResponseOrBuilder

    • setOutputs

      public GrpcService.ModelInferResponse.Builder setOutputs(int index, GrpcService.ModelInferResponse.InferOutputTensor value)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • setOutputs

      public GrpcService.ModelInferResponse.Builder setOutputs(int index, GrpcService.ModelInferResponse.InferOutputTensor.Builder builderForValue)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • addOutputs

      public GrpcService.ModelInferResponse.Builder addOutputs(GrpcService.ModelInferResponse.InferOutputTensor value)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • addOutputs

      public GrpcService.ModelInferResponse.Builder addOutputs(int index, GrpcService.ModelInferResponse.InferOutputTensor value)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • addOutputs

      public GrpcService.ModelInferResponse.Builder addOutputs(GrpcService.ModelInferResponse.InferOutputTensor.Builder builderForValue)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • addOutputs

      public GrpcService.ModelInferResponse.Builder addOutputs(int index, GrpcService.ModelInferResponse.InferOutputTensor.Builder builderForValue)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • addAllOutputs

      public GrpcService.ModelInferResponse.Builder addAllOutputs(Iterable<? extends GrpcService.ModelInferResponse.InferOutputTensor> values)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • clearOutputs

      public GrpcService.ModelInferResponse.Builder clearOutputs()
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • removeOutputs

      public GrpcService.ModelInferResponse.Builder removeOutputs(int index)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • getOutputsBuilder

      public GrpcService.ModelInferResponse.InferOutputTensor.Builder getOutputsBuilder(int index)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • getOutputsOrBuilder

      public GrpcService.ModelInferResponse.InferOutputTensorOrBuilder getOutputsOrBuilder(int index)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;
      Specified by:
      getOutputsOrBuilder in interface GrpcService.ModelInferResponseOrBuilder

    • getOutputsOrBuilderList

      public List<? extends GrpcService.ModelInferResponse.InferOutputTensorOrBuilder> getOutputsOrBuilderList()
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;
      Specified by:
      getOutputsOrBuilderList in interface GrpcService.ModelInferResponseOrBuilder

    • addOutputsBuilder

      public GrpcService.ModelInferResponse.InferOutputTensor.Builder addOutputsBuilder()
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • addOutputsBuilder

      public GrpcService.ModelInferResponse.InferOutputTensor.Builder addOutputsBuilder(int index)
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • getOutputsBuilderList

      public List<GrpcService.ModelInferResponse.InferOutputTensor.Builder> getOutputsBuilderList()
      @@
@@  .. cpp:var:: InferOutputTensor outputs (repeated)
@@
@@     The output tensors holding inference results.
@@
      repeated .inference.ModelInferResponse.InferOutputTensor outputs = 5;

    • getRawOutputContentsList

      public List<com.google.protobuf.ByteString> getRawOutputContentsList()
      @@
@@  .. cpp:var:: bytes raw_output_contents
@@
@@     The data contained in an output tensor can be represented in
@@     "raw" bytes form or in the repeated type that matches the
@@     tensor's data type. Using the "raw" bytes form will
@@     typically allow higher performance due to the way protobuf
@@     allocation and reuse interacts with GRPC. For example, see
@@     https://github.com/grpc/grpc/issues/23231.
@@
@@     To use the raw representation 'raw_output_contents' must be
@@     initialized with data for each tensor in the same order as
@@     'outputs'. For each tensor, the size of this content must
@@     match what is expected by the tensor's shape and data
@@     type. The raw data must be the flattened, one-dimensional,
@@     row-major order of the tensor elements without any stride
@@     or padding between the elements. Note that the FP16 and BF16 data
@@     types must be represented as raw content as there is no
@@     specific data type for a 16-bit float type.
@@
@@     If this field is specified then InferOutputTensor::contents
@@     must not be specified for any output tensor.
@@
      repeated bytes raw_output_contents = 6;
      Specified by:
      getRawOutputContentsList in interface GrpcService.ModelInferResponseOrBuilder
      Returns:
      A list containing the rawOutputContents.

    • getRawOutputContentsCount

      public int getRawOutputContentsCount()
      @@
@@  .. cpp:var:: bytes raw_output_contents
@@
@@     The data contained in an output tensor can be represented in
@@     "raw" bytes form or in the repeated type that matches the
@@     tensor's data type. Using the "raw" bytes form will
@@     typically allow higher performance due to the way protobuf
@@     allocation and reuse interacts with GRPC. For example, see
@@     https://github.com/grpc/grpc/issues/23231.
@@
@@     To use the raw representation 'raw_output_contents' must be
@@     initialized with data for each tensor in the same order as
@@     'outputs'. For each tensor, the size of this content must
@@     match what is expected by the tensor's shape and data
@@     type. The raw data must be the flattened, one-dimensional,
@@     row-major order of the tensor elements without any stride
@@     or padding between the elements. Note that the FP16 and BF16 data
@@     types must be represented as raw content as there is no
@@     specific data type for a 16-bit float type.
@@
@@     If this field is specified then InferOutputTensor::contents
@@     must not be specified for any output tensor.
@@
      repeated bytes raw_output_contents = 6;
      Specified by:
      getRawOutputContentsCount in interface GrpcService.ModelInferResponseOrBuilder
      Returns:
      The count of rawOutputContents.

    • getRawOutputContents

      public com.google.protobuf.ByteString getRawOutputContents(int index)
      @@
@@  .. cpp:var:: bytes raw_output_contents
@@
@@     The data contained in an output tensor can be represented in
@@     "raw" bytes form or in the repeated type that matches the
@@     tensor's data type. Using the "raw" bytes form will
@@     typically allow higher performance due to the way protobuf
@@     allocation and reuse interacts with GRPC. For example, see
@@     https://github.com/grpc/grpc/issues/23231.
@@
@@     To use the raw representation 'raw_output_contents' must be
@@     initialized with data for each tensor in the same order as
@@     'outputs'. For each tensor, the size of this content must
@@     match what is expected by the tensor's shape and data
@@     type. The raw data must be the flattened, one-dimensional,
@@     row-major order of the tensor elements without any stride
@@     or padding between the elements. Note that the FP16 and BF16 data
@@     types must be represented as raw content as there is no
@@     specific data type for a 16-bit float type.
@@
@@     If this field is specified then InferOutputTensor::contents
@@     must not be specified for any output tensor.
@@
      repeated bytes raw_output_contents = 6;
      Specified by:
      getRawOutputContents in interface GrpcService.ModelInferResponseOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The rawOutputContents at the given index.

    • setRawOutputContents

      public GrpcService.ModelInferResponse.Builder setRawOutputContents(int index, com.google.protobuf.ByteString value)
      @@
@@  .. cpp:var:: bytes raw_output_contents
@@
@@     The data contained in an output tensor can be represented in
@@     "raw" bytes form or in the repeated type that matches the
@@     tensor's data type. Using the "raw" bytes form will
@@     typically allow higher performance due to the way protobuf
@@     allocation and reuse interacts with GRPC. For example, see
@@     https://github.com/grpc/grpc/issues/23231.
@@
@@     To use the raw representation 'raw_output_contents' must be
@@     initialized with data for each tensor in the same order as
@@     'outputs'. For each tensor, the size of this content must
@@     match what is expected by the tensor's shape and data
@@     type. The raw data must be the flattened, one-dimensional,
@@     row-major order of the tensor elements without any stride
@@     or padding between the elements. Note that the FP16 and BF16 data
@@     types must be represented as raw content as there is no
@@     specific data type for a 16-bit float type.
@@
@@     If this field is specified then InferOutputTensor::contents
@@     must not be specified for any output tensor.
@@
      repeated bytes raw_output_contents = 6;
      Parameters:
      index - The index to set the value at.
      value - The rawOutputContents to set.
      Returns:
      This builder for chaining.

    • addRawOutputContents

      public GrpcService.ModelInferResponse.Builder addRawOutputContents(com.google.protobuf.ByteString value)
      @@
@@  .. cpp:var:: bytes raw_output_contents
@@
@@     The data contained in an output tensor can be represented in
@@     "raw" bytes form or in the repeated type that matches the
@@     tensor's data type. Using the "raw" bytes form will
@@     typically allow higher performance due to the way protobuf
@@     allocation and reuse interacts with GRPC. For example, see
@@     https://github.com/grpc/grpc/issues/23231.
@@
@@     To use the raw representation 'raw_output_contents' must be
@@     initialized with data for each tensor in the same order as
@@     'outputs'. For each tensor, the size of this content must
@@     match what is expected by the tensor's shape and data
@@     type. The raw data must be the flattened, one-dimensional,
@@     row-major order of the tensor elements without any stride
@@     or padding between the elements. Note that the FP16 and BF16 data
@@     types must be represented as raw content as there is no
@@     specific data type for a 16-bit float type.
@@
@@     If this field is specified then InferOutputTensor::contents
@@     must not be specified for any output tensor.
@@
      repeated bytes raw_output_contents = 6;
      Parameters:
      value - The rawOutputContents to add.
      Returns:
      This builder for chaining.

    • addAllRawOutputContents

      public GrpcService.ModelInferResponse.Builder addAllRawOutputContents(Iterable<? extends com.google.protobuf.ByteString> values)
      @@
@@  .. cpp:var:: bytes raw_output_contents
@@
@@     The data contained in an output tensor can be represented in
@@     "raw" bytes form or in the repeated type that matches the
@@     tensor's data type. Using the "raw" bytes form will
@@     typically allow higher performance due to the way protobuf
@@     allocation and reuse interacts with GRPC. For example, see
@@     https://github.com/grpc/grpc/issues/23231.
@@
@@     To use the raw representation 'raw_output_contents' must be
@@     initialized with data for each tensor in the same order as
@@     'outputs'. For each tensor, the size of this content must
@@     match what is expected by the tensor's shape and data
@@     type. The raw data must be the flattened, one-dimensional,
@@     row-major order of the tensor elements without any stride
@@     or padding between the elements. Note that the FP16 and BF16 data
@@     types must be represented as raw content as there is no
@@     specific data type for a 16-bit float type.
@@
@@     If this field is specified then InferOutputTensor::contents
@@     must not be specified for any output tensor.
@@
      repeated bytes raw_output_contents = 6;
      Parameters:
      values - The rawOutputContents to add.
      Returns:
      This builder for chaining.

    • clearRawOutputContents

      public GrpcService.ModelInferResponse.Builder clearRawOutputContents()
      @@
@@  .. cpp:var:: bytes raw_output_contents
@@
@@     The data contained in an output tensor can be represented in
@@     "raw" bytes form or in the repeated type that matches the
@@     tensor's data type. Using the "raw" bytes form will
@@     typically allow higher performance due to the way protobuf
@@     allocation and reuse interacts with GRPC. For example, see
@@     https://github.com/grpc/grpc/issues/23231.
@@
@@     To use the raw representation 'raw_output_contents' must be
@@     initialized with data for each tensor in the same order as
@@     'outputs'. For each tensor, the size of this content must
@@     match what is expected by the tensor's shape and data
@@     type. The raw data must be the flattened, one-dimensional,
@@     row-major order of the tensor elements without any stride
@@     or padding between the elements. Note that the FP16 and BF16 data
@@     types must be represented as raw content as there is no
@@     specific data type for a 16-bit float type.
@@
@@     If this field is specified then InferOutputTensor::contents
@@     must not be specified for any output tensor.
@@
      repeated bytes raw_output_contents = 6;
      Returns:
      This builder for chaining.

    • setUnknownFields

      public final GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>

    • mergeUnknownFields

      public final GrpcService.ModelInferResponse.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<GrpcService.ModelInferResponse.Builder>