BundleEntryProto.Builder

classe finale statique publique BundleEntryProto.Builder

 Describes the metadata related to a checkpointed tensor.
 
tensorflow.BundleEntryProto de type Protobuf.BundleEntryProto

Méthodes publiques

BundleEntryProto.Builder
addAllSlices (Iterable<? extends TensorSliceProto > valeurs)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
BundleEntryProto.Builder
addSlices (index 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 (valeur TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addSlices (index int, valeur TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
addSlicesBuilder (index int)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
addSlicesBuilder ()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto
BundleEntryProto
BundleEntryProto.Builder
clair ()
BundleEntryProto.Builder
effacerCrc32C ()
 The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder
typeDclair ()
 The tensor dtype and shape.
BundleEntryProto.Builder
clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)
BundleEntryProto.Builder
clearOffset ()
int64 offset = 4;
BundleEntryProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
BundleEntryProto.Builder
forme claire ()
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
clearShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder
clairTaille ()
int64 size = 5;
BundleEntryProto.Builder
clearSlices ()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
cloner ()
int
obtenirCrc32C ()
 The CRC32C checksum of the tensor bytes.
BundleEntryProto
final statique com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
Type de données
getDtype ()
 The tensor dtype and shape.
int
getDtypeValue ()
 The tensor dtype and shape.
long
getOffset ()
int64 offset = 4;
TensorShapeProto
obtenirForme ()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder
getShapeBuilder ()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder
getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
int
getShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
long
obtenirTaille ()
int64 size = 5;
TensorSliceProto
getSlices (index entier)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
getSlicesBuilder (index int)
 Iff present, this entry represents a partitioned tensor.
Liste< TensorSliceProto.Builder >
getSlicesBuilderList ()
 Iff present, this entry represents a partitioned tensor.
int
getSlicesCount ()
 Iff present, this entry represents a partitioned tensor.
Liste< TensorSliceProto >
getSlicesList ()
 Iff present, this entry represents a partitioned tensor.
TensorSliceProtoOrBuilder
getSlicesOrBuilder (index int)
 Iff present, this entry represents a partitioned tensor.
Liste<? étend TensorSliceProtoOrBuilder >
getSlicesOrBuilderList ()
 Iff present, this entry represents a partitioned tensor.
booléen
aForme ()
.tensorflow.TensorShapeProto shape = 2;
booléen final
BundleEntryProto.Builder
mergeFrom (com.google.protobuf.Message autre)
BundleEntryProto.Builder
mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BundleEntryProto.Builder
mergeShape (valeur TensorShapeProto )
.tensorflow.TensorShapeProto shape = 2;
final BundleEntryProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
BundleEntryProto.Builder
RemoveSlices (index int)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
setCrc32C (valeur entière)
 The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder
setDtype (valeur DataType )
 The tensor dtype and shape.
BundleEntryProto.Builder
setDtypeValue (valeur entière)
 The tensor dtype and shape.
BundleEntryProto.Builder
setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
BundleEntryProto.Builder
setOffset (valeur longue)
int64 offset = 4;
BundleEntryProto.Builder
setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)
BundleEntryProto.Builder
setShape (valeur TensorShapeProto )
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
setShape ( TensorShapeProto.Builder builderForValue)
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
setShardId (valeur entière)
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder
setSize (valeur longue)
int64 size = 5;
BundleEntryProto.Builder
setSlices (index int, TensorSliceProto.Builder builderForValue)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
setSlices (index int, valeur TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
final BundleEntryProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)

Méthodes héritées

Méthodes publiques

public BundleEntryProto.Builder addAllSlices (Iterable<? étend TensorSliceProto > valeurs)

 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 (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

public BundleEntryProto.Builder addSlices (index 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;

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;

public BundleEntryProto.Builder addSlices (valeur 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;

public BundleEntryProto.Builder addSlices (index int, valeur 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;

public TensorSliceProto.Builder addSlicesBuilder (index 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;

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;

build public BundleEntryProto ()

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 (champ 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;

clone public BundleEntryProto.Builder ()

public int getCrc32C ()

 The CRC32C checksum of the tensor bytes.
 
fixed32 crc32c = 6;

public BundleEntryProto getDefaultInstanceForType ()

public statique final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

Type de données public 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 (index 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;

public TensorSliceProto.Builder getSlicesBuilder (index 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;

Liste publique < 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;

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;

Liste publique < 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;

public TensorSliceProtoOrBuilder getSlicesOrBuilder (index 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;

Liste publique <? étend 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;

public booléen hasShape ()

.tensorflow.TensorShapeProto shape = 2;

public final booléen isInitialized ()

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

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

Jetés
IOException

public BundleEntryProto.Builder mergeShape (valeur TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

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

public BundleEntryProto.Builder removeSlices (index 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;

public BundleEntryProto.Builder setCrc32C (valeur int)

 The CRC32C checksum of the tensor bytes.
 
fixed32 crc32c = 6;

public BundleEntryProto.Builder setDtype (valeur DataType )

 The tensor dtype and shape.
 
.tensorflow.DataType dtype = 1;

public BundleEntryProto.Builder setDtypeValue (valeur int)

 The tensor dtype and shape.
 
.tensorflow.DataType dtype = 1;

public BundleEntryProto.Builder setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

public BundleEntryProto.Builder setOffset (valeur longue)

int64 offset = 4;

public BundleEntryProto.Builder setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)

public BundleEntryProto.Builder setShape (valeur TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShape ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShardId (valeur int)

 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
 
int32 shard_id = 3;

public BundleEntryProto.Builder setSize (valeur longue)

int64 size = 5;

public BundleEntryProto.Builder setSlices (index 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;

public BundleEntryProto.Builder setSlices (index int, valeur 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;

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