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 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 int)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
agregarSlicesBuilder ()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto
construir ()
BundleEntryProto
construirPartial ()
BundleEntryProto.Builder
claro ()
BundleEntryProto.Builder
borrarCrc32C ()
 The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder
tipo claro ()
 The tensor dtype and shape.
BundleEntryProto.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
BundleEntryProto.Builder
borrar compensación ()
int64 offset = 4;
BundleEntryProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
BundleEntryProto.Builder
forma clara ()
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
borrarId de fragmento ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder
borrarTamaño ()
int64 size = 5;
BundleEntryProto.Builder
borrar rebanadas ()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
clonar ()
En t
obtenerCrc32C ()
 The CRC32C checksum of the tensor bytes.
BundleEntryProto
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final
obtenerDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
Tipo de datos
obtener tipo D ()
 The tensor dtype and shape.
En t
getDtypeValue ()
 The tensor dtype and shape.
largo
obtener compensación ()
int64 offset = 4;
TensorShapeProto
obtener forma ()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder
getShapeBuilder ()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder
getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
En t
obtenerId de fragmento ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
largo
obtenerTamaño ()
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 >
obtener lista de rebanadas ()
 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
tiene forma ()
.tensorflow.TensorShapeProto shape = 2;
booleano final
está inicializado ()
BundleEntryProto.Builder
mergeFrom (com.google.protobuf.Message otro)
BundleEntryProto.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
BundleEntryProto.Builder
mergeShape (valor TensorShapeProto )
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
BundleEntryProto.Builder
eliminarSlices (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 TensorShapeProto )
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
setShape ( TensorShapeProto.Builder constructorForValue)
.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 TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

Métodos heredados

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;

público BundleEntryProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del 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;

compilación pública BundleEntryProto ()

BundleEntryProto público 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;

clon público BundleEntryProto.Builder ()

público int getCrc32C () 

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

BundleEntryPro público para getDefaultInstanceForType ()

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

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

tipo de datos público getDtype () 

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

público int getDtypeValue () 

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

getOffset público largo ()

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;

público largo getSize ()

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<? 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;

hasShape booleano público ()

.tensorflow.TensorShapeProto shape = 2;

público final booleano isInitialized ()

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

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

Lanza
IOExcepción

BundleEntryProto.Builder público mergeShape (valor TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

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

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;

BundleEntryProto.Builder público setCrc32C (valor int) 

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

público BundleEntryProto.Builder setDtype (valor de tipo de datos ) 

 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 del objeto)

público BundleEntryProto.Builder setOffset (valor largo)

int64 offset = 4;

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

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;

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