TensorInfo

clase final pública TensorInfo

 Information about a Tensor necessary for feeding or retrieval.
tipo tensorflow.TensorInfo

Clases anidadas

clase TensorInfo.Builder 
 Information about a Tensor necessary for feeding or retrieval. 
clase TensorInfo.CompositeTensor 
 Generic encoding for composite tensors. 
interfaz TensorInfo.CompositeTensorOrBuilder
clase TensorInfo.CooSparse 
 For sparse tensors, The COO encoding stores a triple of values, indices,
 and shape. 
interfaz TensorInfo.CooSparseOrBuilder
enumeración TensorInfo.EncodingCase

Constantes

En t COMPOSITE_TENSOR_FIELD_NUMBER
En t COO_SPARSE_FIELD_NUMBER
En t DTYPE_FIELD_NUMBER
En t NAME_FIELD_NUMBER
En t TENSOR_SHAPE_FIELD_NUMBER

Métodos públicos

booleano
es igual a (Objeto obj)
TensorInfo.CompositeTensor
getCompositeTensor ()
 Generic encoding for CompositeTensors.
TensorInfo.CompositeTensorOrBuilder
getCompositeTensorOrBuilder ()
 Generic encoding for CompositeTensors.
TensorInfo.CooSparse
getCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.CooSparseOrBuilder
getCooSparseOrBuilder ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
estático TensorInfo
getDefaultInstance ()
TensorInfo
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final
getDescriptor ()
Tipo de datos
getDtype ()
.tensorflow.DataType dtype = 2;
En t
getDtypeValue ()
.tensorflow.DataType dtype = 2;
TensorInfo.EncodingCase
getEncodingCase ()
Cuerda
getName ()
 For dense `Tensor`s, the name of the tensor in the graph.
com.google.protobuf.ByteString
getNameBytes ()
 For dense `Tensor`s, the name of the tensor in the graph.
getParserForType ()
En t
getSerializedSize ()
TensorShapeProto
getTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
booleano
hasCompositeTensor ()
 Generic encoding for CompositeTensors.
booleano
hasCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
booleano
hasTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
En t
hashCode ()
booleano final
isInitialized ()
static TensorInfo.Builder
newBuilder (prototipo de TensorInfo )
static TensorInfo.Builder
newBuilder ()
TensorInfo.Builder
newBuilderForType ()
estático TensorInfo
parseDelimitedFrom (entrada InputStream)
estático TensorInfo
parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorInfo
parseFrom (datos ByteBuffer)
estático TensorInfo
parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorInfo
parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorInfo
parseFrom (entrada com.google.protobuf.CodedInputStream)
estático TensorInfo
parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorInfo
parseFrom (datos com.google.protobuf.ByteString)
estático TensorInfo
parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático TensorInfo
parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
analizador ()
TensorInfo.Builder
toBuilder ()
vacío
writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

Constantes

public static final int COMPOSITE_TENSOR_FIELD_NUMBER

Valor constante: 5

public static final int COO_SPARSE_FIELD_NUMBER

Valor constante: 4

public static final int DTYPE_FIELD_NUMBER

Valor constante: 2

public static final int NAME_FIELD_NUMBER

Valor constante: 1

public static final int TENSOR_SHAPE_FIELD_NUMBER

Valor constante: 3

Métodos públicos

public boolean es igual a (Object obj)

public TensorInfo.CompositeTensor getCompositeTensor () 

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

public TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

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

public 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 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 static TensorInfo getDefaultInstance ()

public TensorInfo getDefaultInstanceForType ()

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public DataType getDtype ()

.tensorflow.DataType dtype = 2;

public int getDtypeValue ()

.tensorflow.DataType dtype = 2;

public TensorInfo.EncodingCase getEncodingCase ()

public String getName () 

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

public com.google.protobuf.ByteString getNameBytes () 

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

público getParserForType ()

public int getSerializedSize ()

public 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 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 final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public boolean hasCompositeTensor () 

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

public 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 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;

public int hashCode ()

public final boolean isInitialized ()

public static TensorInfo.Builder newBuilder (prototipo de TensorInfo )

public static TensorInfo.Builder newBuilder ()

public TensorInfo.Builder newBuilderForType ()

public static TensorInfo parseDelimitedFrom (InputStream input)

Lanza
IOException

public static TensorInfo parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

public static TensorInfo parseFrom (ByteBuffer datos)

Lanza
InvalidProtocolBufferException

public static TensorInfo parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

public static TensorInfo parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
InvalidProtocolBufferException

public static TensorInfo parseFrom (com.google.protobuf.CodedInputStream input)

Lanza
IOException

public static TensorInfo parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
InvalidProtocolBufferException

public static TensorInfo parseFrom (com.google.protobuf.ByteString data)

Lanza
InvalidProtocolBufferException

public static TensorInfo parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

public static TensorInfo parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
InvalidProtocolBufferException

público estático analizador ()

public TensorInfo.Builder toBuilder ()

public void writeTo (salida de com.google.protobuf.CodedOutputStream)

Lanza
IOException