Package tensorflow

Interface Struct.BoundedTensorSpecProtoOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
Struct.BoundedTensorSpecProto, Struct.BoundedTensorSpecProto.Builder
Enclosing class:
Struct
public static interface Struct.BoundedTensorSpecProtoOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getName

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

    • getNameBytes

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

    • hasShape

      boolean hasShape()
      .tensorflow.TensorShapeProto shape = 2;
      Returns:
      Whether the shape field is set.

    • getShape

      TensorShapeProto getShape()
      .tensorflow.TensorShapeProto shape = 2;
      Returns:
      The shape.

    • getShapeOrBuilder

      TensorShapeProtoOrBuilder getShapeOrBuilder()
      .tensorflow.TensorShapeProto shape = 2;

    • getDtypeValue

      int getDtypeValue()
      .tensorflow.DataType dtype = 3;
      Returns:
      The enum numeric value on the wire for dtype.

    • getDtype

      DataType getDtype()
      .tensorflow.DataType dtype = 3;
      Returns:
      The dtype.

    • hasMinimum

      boolean hasMinimum()
      .tensorflow.TensorProto minimum = 4;
      Returns:
      Whether the minimum field is set.

    • getMinimum

      TensorProto getMinimum()
      .tensorflow.TensorProto minimum = 4;
      Returns:
      The minimum.

    • getMinimumOrBuilder

      TensorProtoOrBuilder getMinimumOrBuilder()
      .tensorflow.TensorProto minimum = 4;

    • hasMaximum

      boolean hasMaximum()
      .tensorflow.TensorProto maximum = 5;
      Returns:
      Whether the maximum field is set.

    • getMaximum

      TensorProto getMaximum()
      .tensorflow.TensorProto maximum = 5;
      Returns:
      The maximum.

    • getMaximumOrBuilder

      TensorProtoOrBuilder getMaximumOrBuilder()
      .tensorflow.TensorProto maximum = 5;