Package inference

Interface GrpcPredictV2.ModelInferRequest.InferInputTensorOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
GrpcPredictV2.ModelInferRequest.InferInputTensor, GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder
Enclosing class:
GrpcPredictV2.ModelInferRequest

public static interface GrpcPredictV2.ModelInferRequest.InferInputTensorOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • getName

      String getName()
       The tensor name.
       
      string name = 1;
      Returns:
      The name.
    • getNameBytes

      com.google.protobuf.ByteString getNameBytes()
       The tensor name.
       
      string name = 1;
      Returns:
      The bytes for name.
    • getDatatype

      String getDatatype()
       The tensor data type.
       
      string datatype = 2;
      Returns:
      The datatype.
    • getDatatypeBytes

      com.google.protobuf.ByteString getDatatypeBytes()
       The tensor data type.
       
      string datatype = 2;
      Returns:
      The bytes for datatype.
    • getShapeList

      List<Long> getShapeList()
       The tensor shape.
       
      repeated int64 shape = 3;
      Returns:
      A list containing the shape.
    • getShapeCount

      int getShapeCount()
       The tensor shape.
       
      repeated int64 shape = 3;
      Returns:
      The count of shape.
    • getShape

      long getShape(int index)
       The tensor shape.
       
      repeated int64 shape = 3;
      Parameters:
      index - The index of the element to return.
      Returns:
      The shape at the given index.
    • getParametersCount

      int getParametersCount()
       Optional inference input tensor parameters.
       
      map<string, .inference.InferParameter> parameters = 4;
    • containsParameters

      boolean containsParameters(String key)
       Optional inference input tensor parameters.
       
      map<string, .inference.InferParameter> parameters = 4;
    • getParameters

      Deprecated.
      Use getParametersMap() instead.
    • getParametersMap

       Optional inference input tensor parameters.
       
      map<string, .inference.InferParameter> parameters = 4;
    • getParametersOrDefault

      GrpcPredictV2.InferParameter getParametersOrDefault(String key, GrpcPredictV2.InferParameter defaultValue)
       Optional inference input tensor parameters.
       
      map<string, .inference.InferParameter> parameters = 4;
    • getParametersOrThrow

      GrpcPredictV2.InferParameter getParametersOrThrow(String key)
       Optional inference input tensor parameters.
       
      map<string, .inference.InferParameter> parameters = 4;
    • hasContents

      boolean hasContents()
       The tensor contents using a data-type format. This field must
       not be specified if "raw" tensor contents are being used for
       the inference request.
       
      .inference.InferTensorContents contents = 5;
      Returns:
      Whether the contents field is set.
    • getContents

       The tensor contents using a data-type format. This field must
       not be specified if "raw" tensor contents are being used for
       the inference request.
       
      .inference.InferTensorContents contents = 5;
      Returns:
      The contents.
    • getContentsOrBuilder

       The tensor contents using a data-type format. This field must
       not be specified if "raw" tensor contents are being used for
       the inference request.
       
      .inference.InferTensorContents contents = 5;