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 Details

    • 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;

    • getEncodingCase

      TensorInfo.EncodingCase getEncodingCase()