TensorInfoOrBuilder

interface pública TensorInfoOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

TensorInfo.CompositeTensor abstrato
getCompositeTensor ()
 Generic encoding for CompositeTensors.
TensorInfo.CompositeTensorOrBuilder abstrato
getCompositeTensorOrBuilder ()
 Generic encoding for CompositeTensors.
TensorInfo.CooSparse abstrato
getCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.CooSparseOrBuilder abstrato
getCooSparseOrBuilder ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
DataType abstrato
getDtype ()
.tensorflow.DataType dtype = 2;
abstrato int
getDtypeValue ()
.tensorflow.DataType dtype = 2;
TensorInfo.EncodingCase abstrato
getEncodingCase ()
String abstrata
getName ()
 For dense `Tensor`s, the name of the tensor in the graph.
abstract com.google.protobuf.ByteString
getNameBytes ()
 For dense `Tensor`s, the name of the tensor in the graph.
TensorShapeProto abstrato
getTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorShapeProtoOrBuilder abstrato
getTensorShapeOrBuilder ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
booleano abstrato
hasCompositeTensor ()
 Generic encoding for CompositeTensors.
booleano abstrato
hasCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
booleano abstrato
hasTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.

Métodos Públicos

public abstract TensorInfo.CompositeTensor getCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public abstract TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public abstract 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;

public abstract 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;

public abstract DataType getDtype ()

.tensorflow.DataType dtype = 2;

public abstract int getDtypeValue ()

.tensorflow.DataType dtype = 2;

public abstract TensorInfo.EncodingCase getEncodingCase ()

public abstract String getName () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

public abstract com.google.protobuf.ByteString getNameBytes () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

public abstract 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;

public abstract 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;

public abstract boolean hasCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public abstract 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;

public abstract 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;