BundleEntryProto.Builder

Clase final estática pública BundleEntryProto.Builder

 Describes the metadata related to a checkpointed tensor.
 

Protobuf tipo tensorflow.BundleEntryProto

Métodos públicos

BundleEntryProto.Builder	addAllSlices (Iterable<? extiende los valores de TensorSliceProto >) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
BundleEntryProto.Builder	addSlices (índice int, TensorSliceProto.Builder builderForValue) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addSlices ( TensorSliceProto.Builder builderForValue) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addSlices (valor TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addSlices (índice int, valor TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	addSlicesBuilder (índice int) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	agregarSlicesBuilder () Iff present, this entry represents a partitioned tensor.
BundleEntryProto	construir ()
BundleEntryProto	construirPartial ()
BundleEntryProto.Builder	claro ()
BundleEntryProto.Builder	borrarCrc32C () The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder	tipo claro () The tensor dtype and shape.
BundleEntryProto.Builder	clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
BundleEntryProto.Builder	borrar compensación () int64 offset = 4;
BundleEntryProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
BundleEntryProto.Builder	forma clara () .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	borrarId de fragmento () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder	borrarTamaño () int64 size = 5;
BundleEntryProto.Builder	borrar rebanadas () Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	clonar ()
entero	obtenerCrc32C () The CRC32C checksum of the tensor bytes.
BundleEntryProto	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
Tipo de datos	obtener tipo D () The tensor dtype and shape.
entero	getDtypeValue () The tensor dtype and shape.
largo	obtener compensación () int64 offset = 4;
TensorShapeProto	obtener forma () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder	getShapeBuilder () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
entero	obtenerId de fragmento () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
largo	obtenerTamaño () int64 size = 5;
TensorSliceProto	getSlices (índice int) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	getSlicesBuilder (índice int) Iff present, this entry represents a partitioned tensor.
Lista< TensorSliceProto.Builder >	getSlicesBuilderList () Iff present, this entry represents a partitioned tensor.
entero	getSlicesCount () Iff present, this entry represents a partitioned tensor.
Lista< TensorSliceProto >	obtener lista de rebanadas () Iff present, this entry represents a partitioned tensor.
TensorSliceProtoOrBuilder	getSlicesOrBuilder (índice int) Iff present, this entry represents a partitioned tensor.
Lista<? extiende TensorSliceProtoOrBuilder >	getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor.
booleano	tiene forma () .tensorflow.TensorShapeProto shape = 2;
booleano final	está inicializado ()
BundleEntryProto.Builder	mergeFrom (com.google.protobuf.Message otro)
BundleEntryProto.Builder	mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
BundleEntryProto.Builder	mergeShape (valor TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder final	mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
BundleEntryProto.Builder	eliminarSlices (índice int) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	setCrc32C (valor int) The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder	setDtype (valor de tipo de datos ) The tensor dtype and shape.
BundleEntryProto.Builder	setDtypeValue (valor int) The tensor dtype and shape.
BundleEntryProto.Builder	setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
BundleEntryProto.Builder	setOffset (valor largo) int64 offset = 4;
BundleEntryProto.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
BundleEntryProto.Builder	setShape (valor TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	setShape ( TensorShapeProto.Builder constructorForValue) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	setShardId (valor int) The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder	setSize (valor largo) int64 size = 5;
BundleEntryProto.Builder	setSlices (índice int, TensorSliceProto.Builder builderForValue) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	setSlices (índice int, valor TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

Métodos heredados

De la clase java.lang.Object

booleano	es igual (Objeto arg0)
Clase final<?>	obtenerclase ()
entero	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	a cadena ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (largo arg0)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.util.BundleEntryProtoOrBuilder

resumen entero	obtenerCrc32C () The CRC32C checksum of the tensor bytes.
tipo de datos abstracto	obtener tipo D () The tensor dtype and shape.
resumen entero	getDtypeValue () The tensor dtype and shape.
abstracto largo	obtener compensación () int64 offset = 4;
resumen TensorShapeProto	obtener forma () .tensorflow.TensorShapeProto shape = 2;
abstracto TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
resumen entero	obtenerId de fragmento () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
abstracto largo	obtenerTamaño () int64 size = 5;
resumen TensorSliceProto	getSlices (índice int) Iff present, this entry represents a partitioned tensor.
resumen entero	getSlicesCount () Iff present, this entry represents a partitioned tensor.
Lista abstracta <TensorSliceProto>	obtener lista de rebanadas () Iff present, this entry represents a partitioned tensor.
abstracto TensorSliceProtoOrBuilder	getSlicesOrBuilder (índice int) Iff present, this entry represents a partitioned tensor.
Lista abstracta<? extiende TensorSliceProtoOrBuilder >	getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor.
booleano abstracto	tiene forma () .tensorflow.TensorShapeProto shape = 2;

Métodos públicos

public BundleEntryProto.Builder addAllSlices (Iterable<? extiende los valores de TensorSliceProto >)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público BundleEntryProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

público BundleEntryProto.Builder addSlices (índice int, TensorSliceProto.Builder builderForValue)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público BundleEntryProto.Builder addSlices ( TensorSliceProto.Builder builderForValue)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público BundleEntryProto.Builder addSlices (valor TensorSliceProto )

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público BundleEntryProto.Builder addSlices (índice int, valor TensorSliceProto )

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público TensorSliceProto.Builder addSlicesBuilder (índice int)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público TensorSliceProto.Builder addSlicesBuilder ()

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

compilación pública BundleEntryProto ()

BundleEntryProto público buildPartial ()

público BundleEntryProto.Builder claro ()

público BundleEntryProto.Builder clearCrc32C ()

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

público BundleEntryProto.Builder clearDtype ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

público BundleEntryProto.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

público BundleEntryProto.Builder clearOffset ()

int64 offset = 4;

público BundleEntryProto.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

público BundleEntryProto.Builder clearShape ()

.tensorflow.TensorShapeProto shape = 2;

público BundleEntryProto.Builder clearShardId ()

 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
 

int32 shard_id = 3;

público BundleEntryProto.Builder clearSize ()

int64 size = 5;

público BundleEntryProto.Builder clearSlices ()

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

clon público BundleEntryProto.Builder ()

público int getCrc32C ()

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

BundleEntryPro público para getDefaultInstanceForType ()

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

público com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

tipo de datos público getDtype ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

público int getDtypeValue ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

getOffset público largo ()

int64 offset = 4;

público TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

público TensorShapeProto.Builder getShapeBuilder ()

.tensorflow.TensorShapeProto shape = 2;

público TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

público int getShardId ()

 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
 

int32 shard_id = 3;

público largo getSize ()

int64 size = 5;

público TensorSliceProto getSlices (índice int)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público TensorSliceProto.Builder getSlicesBuilder (índice int)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

Lista pública< TensorSliceProto.Builder > getSlicesBuilderList ()

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público int getSlicesCount ()

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

Lista pública< TensorSliceProto > getSlicesList ()

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público TensorSliceProtoOrBuilder getSlicesOrBuilder (índice int)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

Lista pública<? extiende TensorSliceProtoOrBuilder > getSlicesOrBuilderList ()

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

hasShape booleano público ()

.tensorflow.TensorShapeProto shape = 2;

público final booleano isInitialized ()

BundleEntryProto.Builder público mergeFrom (com.google.protobuf.Message otro)

BundleEntryProto.Builder público mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza

IOExcepción

BundleEntryProto.Builder público mergeShape (valor TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

BundleEntryProto.Builder final público mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público BundleEntryProto.Builder removeSlices (índice int)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

BundleEntryProto.Builder público setCrc32C (valor int)

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

público BundleEntryProto.Builder setDtype (valor de tipo de datos )

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

público BundleEntryProto.Builder setDtypeValue (valor int)

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

público BundleEntryProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

público BundleEntryProto.Builder setOffset (valor largo)

int64 offset = 4;

público BundleEntryProto.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)

público BundleEntryProto.Builder setShape (valor TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

público BundleEntryProto.Builder setShape ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

público BundleEntryProto.Builder setShardId (valor int)

 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
 

int32 shard_id = 3;

público BundleEntryProto.Builder setSize (valor largo)

int64 size = 5;

público BundleEntryProto.Builder setSlices (índice int, TensorSliceProto.Builder builderForValue)

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

público BundleEntryProto.Builder setSlices (índice int, valor TensorSliceProto )

 Iff present, this entry represents a partitioned tensor.  The previous
 fields are interpreted as follows:
   "dtype", "shape": describe the full tensor.
   "shard_id", "offset", "size", "crc32c": all IGNORED.
      These information for each slice can be looked up in their own
      BundleEntryProto, keyed by each "slice_name".
 

repeated .tensorflow.TensorSliceProto slices = 7;

BundleEntryProto.Builder final público setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)