BundleEntryProto.Builder

classe final estática pública BundleEntryProto.Builder

 Describes the metadata related to a checkpointed tensor.
Tipo de protobuf 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.
booleano
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

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;

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;

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;

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;

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)

public 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)