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 de TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addSlices (índice int, valor de TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	addSlicesBuilder (índice int) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	addSlicesBuilder () Iff present, this entry represents a partitioned tensor.
BundleEntryProto	construir ()
BundleEntryProto	buildPartial ()
BundleEntryProto.Builder	claro ()
BundleEntryProto.Builder	clearCrc32C () The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder	clearDtype () The tensor dtype and shape.
BundleEntryProto.Builder	clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
BundleEntryProto.Builder	clearOffset () int64 offset = 4;
BundleEntryProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
BundleEntryProto.Builder	clearShape () .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	clearShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder	clearSize () int64 size = 5;
BundleEntryProto.Builder	clearSlices () Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	clonar ()
En t	getCrc32C () The CRC32C checksum of the tensor bytes.
BundleEntryProto	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
Tipo de datos	getDtype () The tensor dtype and shape.
En t	getDtypeValue () The tensor dtype and shape.
largo	getOffset () int64 offset = 4;
TensorShapeProto	getShape () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder	getShapeBuilder () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
En t	getShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
largo	getSize () 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.
En t	getSlicesCount () Iff present, this entry represents a partitioned tensor.
Lista < TensorSliceProto >	getSlicesList () 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	hasShape () .tensorflow.TensorShapeProto shape = 2;
booleano final	isInitialized ()
BundleEntryProto.Builder	mergeFrom (com.google.protobuf.Message otro)
BundleEntryProto.Builder	mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BundleEntryProto.Builder	mergeShape (valor de TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder final	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
BundleEntryProto.Builder	removeSlices (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 de TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	setShape ( TensorShapeProto.Builder builderForValue) .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 de TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Métodos heredados

De la clase java.lang.Object

booleano	es igual a (Objeto arg0)
Clase final <?>	getClass ()
En t	hashCode ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cuerda	toString ()
vacío final	esperar (largo arg0, int arg1)
vacío final	espera (largo arg0)
vacío final	esperar ()

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

int abstracto	getCrc32C () The CRC32C checksum of the tensor bytes.
Tipo de datos abstracto	getDtype () The tensor dtype and shape.
int abstracto	getDtypeValue () The tensor dtype and shape.
abstracto largo	getOffset () int64 offset = 4;
abstracto TensorShapeProto	getShape () .tensorflow.TensorShapeProto shape = 2;
abstracto TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
int abstracto	getShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
abstracto largo	getSize () int64 size = 5;
abstracto TensorSliceProto	getSlices (índice int) Iff present, this entry represents a partitioned tensor.
int abstracto	getSlicesCount () Iff present, this entry represents a partitioned tensor.
Lista abstracta < TensorSliceProto >	getSlicesList () Iff present, this entry represents a partitioned tensor.
abstracto TensorSliceProtoOrBuilder	getSlicesOrBuilder (índice int) Iff present, this entry represents a partitioned tensor.
Resumen Lista <? extiende TensorSliceProtoOrBuilder >	getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor.
booleano abstracto	hasShape () .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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

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

public 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder addSlices (valor 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder addSlices (índice int, valor 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto build ()

public BundleEntryProto buildPartial ()

public BundleEntryProto.Builder clear ()

public BundleEntryProto.Builder clearCrc32C ()

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

public BundleEntryProto.Builder clearDtype ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

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

public BundleEntryProto.Builder clearOffset ()

int64 offset = 4;

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

public BundleEntryProto.Builder clearShape ()

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder clearShardId ()

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

int32 shard_id = 3;

public BundleEntryProto.Builder clearSize ()

int64 size = 5;

public 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder clone ()

public int getCrc32C ()

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

public BundleEntryProto getDefaultInstanceForType ()

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

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

public DataType getDtype ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

public long getOffset ()

int64 offset = 4;

public TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

public TensorShapeProto.Builder getShapeBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public int getShardId ()

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

int32 shard_id = 3;

public long getSize ()

int64 size = 5;

public 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public boolean hasShape ()

.tensorflow.TensorShapeProto shape = 2;

public final boolean isInitialized ()

public BundleEntryProto.Builder mergeFrom (com.google.protobuf.Message other)

public BundleEntryProto.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOException

public BundleEntryProto.Builder mergeShape (valor de TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

public final BundleEntryProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder setCrc32C (valor int)

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

public BundleEntryProto.Builder setDtype (valor de DataType )

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

public BundleEntryProto.Builder setDtypeValue (valor int)

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

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

public BundleEntryProto.Builder setOffset (valor largo)

int64 offset = 4;

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

public BundleEntryProto.Builder setShape (valor de TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShape ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShardId (valor int)

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

int32 shard_id = 3;

public BundleEntryProto.Builder setSize (valor largo)

int64 size = 5;

public BundleEntryProto.Builder setSlices (int index, 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder setSlices (índice int, valor 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public final BundleEntryProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)