BundleEntryProto.Builder

classe final estática pública BundleEntryProto.Builder

 Describes the metadata related to a checkpointed tensor.
 

Protobuf tipo tensorflow.BundleEntryProto

Métodos Públicos

BundleEntryProto.Builder	addAllSlices (Iterable<? estende TensorSliceProto > valores) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
BundleEntryProto.Builder	addSlices (índice int, TensorSliceProto.Builder builderForValue) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addSlices ( TensorSliceProto.Builder construtorForValue) 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 interno) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	addSlicesBuilder () Iff present, this entry represents a partitioned tensor.
BundleEntryProto	construir ()
BundleEntryProto	construirPartial ()
BundleEntryProto.Builder	claro ()
BundleEntryProto.Builder	limparCrc32C () The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder	limparDtype () The tensor dtype and shape.
BundleEntryProto.Builder	clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
BundleEntryProto.Builder	limparDeslocamento () int64 offset = 4;
BundleEntryProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor umof)
BundleEntryProto.Builder	limparForma () .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	limparShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder	limparSize () int64 size = 5;
BundleEntryProto.Builder	limparSlices () Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	clonar ()
interno	getCrc32C () The CRC32C checksum of the tensor bytes.
BundleEntryProto	getDefaultInstanceForType ()
final estático com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
Tipo de dados	getDtype () The tensor dtype and shape.
interno	getDtypeValue () The tensor dtype and shape.
longo	getOffset () int64 offset = 4;
TensorShapeProto	obterForma () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder	getShapeBuilder () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
interno	getShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
longo	getSize () int64 size = 5;
TensorSliceProto	getSlices (índice interno) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	getSlicesBuilder (índice interno) Iff present, this entry represents a partitioned tensor.
Lista< TensorSliceProto.Builder >	getSlicesBuilderList () Iff present, this entry represents a partitioned tensor.
interno	getSlicesCount () Iff present, this entry represents a partitioned tensor.
Lista< TensorSliceProto >	getSlicesList () Iff present, this entry represents a partitioned tensor.
TensorSliceProtoOrBuilder	getSlicesOrBuilder (índice interno) Iff present, this entry represents a partitioned tensor.
Lista<? estende TensorSliceProtoOrBuilder >	getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor.
boleano	temForma () .tensorflow.TensorShapeProto shape = 2;
booleano final	éinicializado ()
BundleEntryProto.Builder	mergeFrom (com.google.protobuf.Message outro)
BundleEntryProto.Builder	mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BundleEntryProto.Builder	mergeShape (valor TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
final BundleEntryProto.Builder	mesclarUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)
BundleEntryProto.Builder	removeSlices (índice interno) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	setCrc32C (valor interno) The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder	setDtype (valor DataType ) The tensor dtype and shape.
BundleEntryProto.Builder	setDtypeValue (valor interno) The tensor dtype and shape.
BundleEntryProto.Builder	setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
BundleEntryProto.Builder	setOffset (valor longo) int64 offset = 4;
BundleEntryProto.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
BundleEntryProto.Builder	setShape (valor TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	setShape ( TensorShapeProto.Builder construtorForValue) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	setShardId (valor interno) The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder	setSize (valor longo) 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.
final BundleEntryProto.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)

Métodos herdados

Da classe java.lang.Object

boleano	é igual (objeto arg0)
aula final<?>	getClass ()
interno	código hash ()
vazio final	notificar ()
vazio final	notificar todos ()
Corda	para sequenciar ()
vazio final	espere (long arg0, int arg1)
vazio final	espere (arg0 longo)
vazio final	espere ()

Da interface org.tensorflow.proto.util.BundleEntryProtoOrBuilder

abstrato int	getCrc32C () The CRC32C checksum of the tensor bytes.
tipo de dados abstrato	getDtype () The tensor dtype and shape.
abstrato int	getDtypeValue () The tensor dtype and shape.
abstrato longo	getOffset () int64 offset = 4;
abstrato TensorShapeProto	obterForma () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder abstrato	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
abstrato int	getShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
abstrato longo	getSize () int64 size = 5;
TensorSliceProto abstrato	getSlices (índice interno) Iff present, this entry represents a partitioned tensor.
abstrato int	getSlicesCount () Iff present, this entry represents a partitioned tensor.
Lista abstrata< TensorSliceProto >	getSlicesList () Iff present, this entry represents a partitioned tensor.
TensorSliceProtoOrBuilder abstrato	getSlicesOrBuilder (índice interno) Iff present, this entry represents a partitioned tensor.
lista abstrata<? estende TensorSliceProtoOrBuilder >	getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor.
booleano abstrato	temForma () .tensorflow.TensorShapeProto shape = 2;

Métodos Públicos

public BundleEntryProto.Builder addAllSlices (Iterable<? estende TensorSliceProto > valores)

 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;

public BundleEntryProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do 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;

compilação pública BundleEntryProto ()

público BundleEntryProto 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;

public 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;

clone público BundleEntryProto.Builder ()

público int getCrc32C ()

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

público BundleEntryProto getDefaultInstanceForType ()

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

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

tipo de dados público getDtype ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

público int getDtypeValue ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

getOffset longo público ()

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;

getSize longo público ()

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<? estende 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 ()

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

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

Lança

IOException

público BundleEntryProto.Builder mergeShape (valor TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

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

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;

público BundleEntryProto.Builder setCrc32C (valor int)

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

público BundleEntryProto.Builder setDtype (valor DataType )

 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 do objeto)

público BundleEntryProto.Builder setOffset (valor longo)

int64 offset = 4;

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

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;

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