Package org.tensorflow.framework

Interface TensorInfoOrBuilder

  • All Superinterfaces:
    com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    TensorInfo, TensorInfo.Builder
    public interface TensorInfoOrBuilder
extends com.google.protobuf.MessageOrBuilder

    • Method Detail

      • getName

        java.lang.String getName()
         For dense `Tensor`s, the name of the tensor in the graph.
        string name = 1;
        Returns:
        The name.

      • getNameBytes

        com.google.protobuf.ByteString getNameBytes()
         For dense `Tensor`s, the name of the tensor in the graph.
        string name = 1;
        Returns:
        The bytes for name.

      • hasCooSparse

        boolean hasCooSparse()
         There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
        .tensorflow.TensorInfo.CooSparse coo_sparse = 4;
        Returns:
        Whether the cooSparse field is set.

      • getCooSparse

        TensorInfo.CooSparse getCooSparse()
         There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
        .tensorflow.TensorInfo.CooSparse coo_sparse = 4;
        Returns:
        The cooSparse.

      • getCooSparseOrBuilder

        TensorInfo.CooSparseOrBuilder getCooSparseOrBuilder()
         There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
        .tensorflow.TensorInfo.CooSparse coo_sparse = 4;

      • hasCompositeTensor

        boolean hasCompositeTensor()
         Generic encoding for CompositeTensors.
        .tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;
        Returns:
        Whether the compositeTensor field is set.

      • getCompositeTensor

        TensorInfo.CompositeTensor getCompositeTensor()
         Generic encoding for CompositeTensors.
        .tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;
        Returns:
        The compositeTensor.

      • getCompositeTensorOrBuilder

        TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder()
         Generic encoding for CompositeTensors.
        .tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

      • getDtypeValue

        int getDtypeValue()
        .tensorflow.DataType dtype = 2;
        Returns:
        The enum numeric value on the wire for dtype.

      • getDtype

        DataType getDtype()
        .tensorflow.DataType dtype = 2;
        Returns:
        The dtype.

      • hasTensorShape

        boolean hasTensorShape()
         The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
        .tensorflow.TensorShapeProto tensor_shape = 3;
        Returns:
        Whether the tensorShape field is set.

      • getTensorShape

        TensorShapeProto getTensorShape()
         The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
        .tensorflow.TensorShapeProto tensor_shape = 3;
        Returns:
        The tensorShape.

      • getTensorShapeOrBuilder

        TensorShapeProtoOrBuilder getTensorShapeOrBuilder()
         The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
        .tensorflow.TensorShapeProto tensor_shape = 3;