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 de TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addSlices (índice int, valor de TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
addSlicesBuilder (índice int)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
addSlicesBuilder ()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto
BundleEntryProto
BundleEntryProto.Builder
claro ()
BundleEntryProto.Builder
clearCrc32C ()
 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
clearShape ()
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
clearShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder
clearSize ()
int64 size = 5;
BundleEntryProto.Builder
clearSlices ()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
clonar ()
En t
getCrc32C ()
 The CRC32C checksum of the tensor bytes.
BundleEntryProto
com.google.protobuf.Descriptors.Descriptor estático final
com.google.protobuf.Descriptors.Descriptor
Tipo de datos
getDtype ()
 The tensor dtype and shape.
En t
getDtypeValue ()
 The tensor dtype and shape.
largo
getOffset ()
int64 offset = 4;
TensorShapeProto
getShape ()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder
getShapeBuilder ()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder
getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
En t
getShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
largo
getSize ()
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 >
getSlicesList ()
 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
hasShape ()
.tensorflow.TensorShapeProto shape = 2;
booleano final
BundleEntryProto.Builder
mergeFrom (com.google.protobuf.Message otro)
BundleEntryProto.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BundleEntryProto.Builder
mergeShape (valor de TensorShapeProto )
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
BundleEntryProto.Builder
removeSlices (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 de TensorShapeProto )
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
setShape ( TensorShapeProto.Builder builderForValue)
.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 de TensorSliceProto )
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

public 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder addSlices (valor 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder addSlices (índice int, valor 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto build ()

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 (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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder clone ()

public int getCrc32C ()

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

public BundleEntryProto getDefaultInstanceForType ()

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

public 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;

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 (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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public 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; .tensorflow.TensorSliceProto 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public boolean hasShape ()

.tensorflow.TensorShapeProto shape = 2;

public final boolean isInitialized ()

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

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

Lanza
IOException

public BundleEntryProto.Builder mergeShape (valor de TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

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

public 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder setCrc32C (valor int)

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

public BundleEntryProto.Builder setDtype (valor de DataType )

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

public BundleEntryProto.Builder setDtypeValue (valor int)

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

public BundleEntryProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

public BundleEntryProto.Builder setOffset (valor largo)

int64 offset = 4;

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

public BundleEntryProto.Builder setShape (valor de TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShape ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShardId (valor int)

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

public BundleEntryProto.Builder setSize (valor largo)

int64 size = 5;

public BundleEntryProto.Builder setSlices (int index, 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

public BundleEntryProto.Builder setSlices (índice int, valor 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; .tensorflow.TensorSliceProto repeated .tensorflow.TensorSliceProto slices = 7;

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