Package inference

Interface GrpcPredictV2.ModelMetadataResponseOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
GrpcPredictV2.ModelMetadataResponse, GrpcPredictV2.ModelMetadataResponse.Builder
Enclosing class:
GrpcPredictV2
public static interface GrpcPredictV2.ModelMetadataResponseOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getName

      String getName()
       The model name.
      string name = 1;
      Returns:
      The name.

    • getNameBytes

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

    • getVersionsList

      List<String> getVersionsList()
       The versions of the model available on the server.
      repeated string versions = 2;
      Returns:
      A list containing the versions.

    • getVersionsCount

      int getVersionsCount()
       The versions of the model available on the server.
      repeated string versions = 2;
      Returns:
      The count of versions.

    • getVersions

      String getVersions(int index)
       The versions of the model available on the server.
      repeated string versions = 2;
      Parameters:
      index - The index of the element to return.
      Returns:
      The versions at the given index.

    • getVersionsBytes

      com.google.protobuf.ByteString getVersionsBytes(int index)
       The versions of the model available on the server.
      repeated string versions = 2;
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the versions at the given index.

    • getPlatform

      String getPlatform()
       The model's platform. See Platforms.
      string platform = 3;
      Returns:
      The platform.

    • getPlatformBytes

      com.google.protobuf.ByteString getPlatformBytes()
       The model's platform. See Platforms.
      string platform = 3;
      Returns:
      The bytes for platform.

    • getInputsList

      List<GrpcPredictV2.ModelMetadataResponse.TensorMetadata> getInputsList()
       The model's inputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata inputs = 4;

    • getInputs

      GrpcPredictV2.ModelMetadataResponse.TensorMetadata getInputs(int index)
       The model's inputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata inputs = 4;

    • getInputsCount

      int getInputsCount()
       The model's inputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata inputs = 4;

    • getInputsOrBuilderList

      List<? extends GrpcPredictV2.ModelMetadataResponse.TensorMetadataOrBuilder> getInputsOrBuilderList()
       The model's inputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata inputs = 4;

    • getInputsOrBuilder

      GrpcPredictV2.ModelMetadataResponse.TensorMetadataOrBuilder getInputsOrBuilder(int index)
       The model's inputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata inputs = 4;

    • getOutputsList

      List<GrpcPredictV2.ModelMetadataResponse.TensorMetadata> getOutputsList()
       The model's outputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata outputs = 5;

    • getOutputs

      GrpcPredictV2.ModelMetadataResponse.TensorMetadata getOutputs(int index)
       The model's outputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata outputs = 5;

    • getOutputsCount

      int getOutputsCount()
       The model's outputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata outputs = 5;

    • getOutputsOrBuilderList

      List<? extends GrpcPredictV2.ModelMetadataResponse.TensorMetadataOrBuilder> getOutputsOrBuilderList()
       The model's outputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata outputs = 5;

    • getOutputsOrBuilder

      GrpcPredictV2.ModelMetadataResponse.TensorMetadataOrBuilder getOutputsOrBuilder(int index)
       The model's outputs.
      repeated .inference.ModelMetadataResponse.TensorMetadata outputs = 5;