TensorInfo

classe final pública TensorInfo

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

Classes aninhadas

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

Constantes

int COMPOSITE_TENSOR_FIELD_NUMBER
int COO_SPARSE_FIELD_NUMBER
int DTYPE_FIELD_NUMBER
int NAME_FIELD_NUMBER
int TENSOR_SHAPE_FIELD_NUMBER

Métodos Públicos

boleano
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).
TensorInfo estático
TensorInfo
final static com.google.protobuf.Descriptors.Descriptor
Tipo de dados
getDtype ()
.tensorflow.DataType dtype = 2;
int
getDtypeValue ()
.tensorflow.DataType dtype = 2;
TensorInfo.EncodingCase
Fragmento
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.
int
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
boleano
hasCompositeTensor ()
 Generic encoding for CompositeTensors.
boleano
hasCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
boleano
hasTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
int
final booleano
TensorInfo.Builder estático
newBuilder (protótipo TensorInfo )
TensorInfo.Builder estático
TensorInfo.Builder
TensorInfo estático
parseDelimitedFrom (InputStream input)
TensorInfo estático
parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo estático
parseFrom (dados ByteBuffer)
TensorInfo estático
parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo estático
parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo estático
parseFrom (com.google.protobuf.CodedInputStream input)
TensorInfo estático
parseFrom (byte [] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo estático
parseFrom (com.google.protobuf.ByteString data)
TensorInfo estático
parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo estático
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
TensorInfo.Builder
vazio
writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

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 equals (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 ()

public static 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 (protótipo TensorInfo )

public static TensorInfo.Builder newBuilder ()

public TensorInfo.Builder newBuilderForType ()

public static TensorInfo parseDelimitedFrom (InputStream input)

Lança
IOException

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

Lança
IOException

public static TensorInfo parseFrom (dados ByteBuffer)

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

estática pública analisador ()

public TensorInfo.Builder toBuilder ()

public void writeTo (saída com.google.protobuf.CodedOutputStream)

Lança
IOException