BundleEntryProto.Builder

classe finale statica pubblica BundleEntryProto.Builder

 Describes the metadata related to a checkpointed tensor.
 
Tipo di protobuf tensorflow.BundleEntryProto

Metodi pubblici

BundleEntryProto.Builder
addAllSlices (Iterable<? estende TensorSliceProto > valori)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
BundleEntryProto.Builder
addSlices (indice 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 (valore TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addSlices (indice int, valore TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
addSlicesBuilder (indice int)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
aggiungiSlicesBuilder ()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto
BundleEntryProto
BundleEntryProto.Builder
chiaro ()
BundleEntryProto.Builder
cancellaCrc32C ()
 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
chiara forma ()
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
clearShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder
cancellaDimensione ()
int64 size = 5;
BundleEntryProto.Builder
cancellaSlice ()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
clone ()
int
getCrc32C ()
 The CRC32C checksum of the tensor bytes.
BundleEntryProto
com.google.protobuf.Descriptors.Descriptor statico finale
com.google.protobuf.Descriptors.Descriptor
Tipo di dati
getDtipo ()
 The tensor dtype and shape.
int
getDtipoValore ()
 The tensor dtype and shape.
lungo
getOffset ()
int64 offset = 4;
TensorShapeProto
ottieni forma ()
.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).
lungo
ottienidimensione ()
int64 size = 5;
TensorSliceProto
getSlices (indice int)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
getSlicesBuilder (indice int)
 Iff present, this entry represents a partitioned tensor.
Elenco< TensorSliceProto.Builder >
getSlicesBuilderList ()
 Iff present, this entry represents a partitioned tensor.
int
getSlicesCount ()
 Iff present, this entry represents a partitioned tensor.
Elenco< TensorSliceProto >
getSlicesList ()
 Iff present, this entry represents a partitioned tensor.
TensorSliceProtoOrBuilder
getSlicesOrBuilder (indice int)
 Iff present, this entry represents a partitioned tensor.
Elenco<? estende TensorSliceProtoOrBuilder >
getSlicesOrBuilderList ()
 Iff present, this entry represents a partitioned tensor.
booleano
haForma ()
.tensorflow.TensorShapeProto shape = 2;
booleano finale
BundleEntryProto.Builder
mergeFrom (com.google.protobuf.Message altro)
BundleEntryProto.Builder
mergeFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
BundleEntryProto.Builder
mergeShape (valore TensorShapeProto )
.tensorflow.TensorShapeProto shape = 2;
finale BundleEntryProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
BundleEntryProto.Builder
rimuoviSlice (indice int)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
setCrc32C (valore int)
 The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder
setDtype (valore del tipo di dati )
 The tensor dtype and shape.
BundleEntryProto.Builder
setDtypeValue (valore int)
 The tensor dtype and shape.
BundleEntryProto.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
BundleEntryProto.Builder
setOffset (valore lungo)
int64 offset = 4;
BundleEntryProto.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)
BundleEntryProto.Builder
setShape (valore TensorShapeProto )
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
setShape ( TensorShapeProto.Builder builderForValue)
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
setShardId (valore int)
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder
setSize (valore lungo)
int64 size = 5;
BundleEntryProto.Builder
setSlices (indice int, TensorSliceProto.Builder builderForValue)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
setSlices (indice int, valore TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
finale BundleEntryProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

Metodi ereditati

Metodi pubblici

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

 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, valore oggetto)

public BundleEntryProto.Builder addSlices (indice 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 (valore 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 (indice int, valore 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 (indice 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 pubblica BundleEntryProto ()

public BundleEntryProto buildPartial ()

public BundleEntryProto.Builder cancella ()

pubblico 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;

clone pubblico BundleEntryProto.Builder ()

pubblico int getCrc32C ()

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

public BundleEntryProto getDefaultInstanceForType ()

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

pubblico 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;

pubblico lungo 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;

pubblico int getShardId ()

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

pubblico lungo getSize ()

int64 size = 5;

public TensorSliceProto getSlices (indice 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 (indice 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;

Elenco pubblico< 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;

Elenco pubblico< 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 (indice 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;

Elenco pubblico<? 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 pubblico ()

.tensorflow.TensorShapeProto shape = 2;

public final booleano isInitialized ()

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

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

Lancia
IOException

public BundleEntryProto.Builder mergeShape (valore TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

public final BundleEntryProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public BundleEntryProto.Builder rimuoviSlices (indice 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 (valore int)

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

public BundleEntryProto.Builder setDtype (valore DataType )

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

public BundleEntryProto.Builder setDtypeValue (valore int)

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

public BundleEntryProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)

public BundleEntryProto.Builder setOffset (valore lungo)

int64 offset = 4;

public BundleEntryProto.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)

public BundleEntryProto.Builder setShape (valore TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShape ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShardId (valore int)

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

public BundleEntryProto.Builder setSize (valore lungo)

int64 size = 5;

public BundleEntryProto.Builder setSlices (indice 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 (indice int, valore 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.UnknownFieldSetknownFields)