BundleEntryProto.Builder

kelas akhir statis publik BundleEntryProto.Builder

 Describes the metadata related to a checkpointed tensor.
 

Tipe protobuf tensorflow.BundleEntryProto

Metode Publik

BundleEntryProto.Builder	addAllSlices (Nilai Iterable<? extends TensorSliceProto >) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
BundleEntryProto.Builder	addSlices (indeks 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 (nilai TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	addSlices (indeks int, nilai TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	addSlicesBuilder (indeks int) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	tambahkanSlicesBuilder () Iff present, this entry represents a partitioned tensor.
BundleEntryProto	membangun ()
BundleEntryProto	buildPartial ()
BundleEntryProto.Builder	jernih ()
BundleEntryProto.Builder	hapusCrc32C () The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder	hapusDtype () The tensor dtype and shape.
BundleEntryProto.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
BundleEntryProto.Builder	hapusOffset () int64 offset = 4;
BundleEntryProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
BundleEntryProto.Builder	bentuk jelas () .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	hapusShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder	ukuran jelas () int64 size = 5;
BundleEntryProto.Builder	hapus Irisan () Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	klon ()
ke dalam	dapatkanCrc32C () The CRC32C checksum of the tensor bytes.
BundleEntryProto	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
Tipe Data	dapatkan tipe D () The tensor dtype and shape.
ke dalam	dapatkanDtypeValue () The tensor dtype and shape.
panjang	dapatkan Offset () int64 offset = 4;
TensorBentukProto	dapatkanBentuk () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder	dapatkanShapeBuilder () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	dapatkanBentukOrBuilder () .tensorflow.TensorShapeProto shape = 2;
ke dalam	dapatkanShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
panjang	dapatkan Ukuran () int64 size = 5;
TensorSliceProto	getSlices (indeks int) Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder	getSlicesBuilder (indeks int) Iff present, this entry represents a partitioned tensor.
Daftar< TensorSliceProto.Builder >	dapatkanSlicesBuilderList () Iff present, this entry represents a partitioned tensor.
ke dalam	dapatkanSlicesCount () Iff present, this entry represents a partitioned tensor.
Daftar< TensorSliceProto >	dapatkanDaftar Irisan () Iff present, this entry represents a partitioned tensor.
TensorSliceProtoOrBuilder	getSlicesOrBuilder (indeks int) Iff present, this entry represents a partitioned tensor.
Daftar<? memperluas TensorSliceProtoOrBuilder >	dapatkanSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor.
boolean	memilikiBentuk () .tensorflow.TensorShapeProto shape = 2;
boolean terakhir	diinisialisasi ()
BundleEntryProto.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
BundleEntryProto.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BundleEntryProto.Builder	mergeShape (nilai TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
BundleEntryProto.Builder	hapusSlices (indeks int) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	setCrc32C (nilai int) The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder	setDtype (nilai Tipe Data ) The tensor dtype and shape.
BundleEntryProto.Builder	setDtypeValue (nilai int) The tensor dtype and shape.
BundleEntryProto.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
BundleEntryProto.Builder	setOffset (nilai panjang) int64 offset = 4;
BundleEntryProto.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
BundleEntryProto.Builder	setShape (nilai TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	setShape ( TensorShapeProto.Pembuat pembangunForValue) .tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder	setShardId (nilai int) The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder	setSize (nilai panjang) int64 size = 5;
BundleEntryProto.Builder	setSlices (indeks int, TensorSliceProto.Builder builderForValue) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder	setSlices (indeks int, nilai TensorSliceProto ) Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder terakhir	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	beri tahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka org.tensorflow.proto.util.BundleEntryProtoOrBuilder

abstrak ke dalam	dapatkanCrc32C () The CRC32C checksum of the tensor bytes.
Tipe Data abstrak	dapatkan tipe D () The tensor dtype and shape.
abstrak ke dalam	dapatkanDtypeValue () The tensor dtype and shape.
abstrak panjang	dapatkan Offset () int64 offset = 4;
TensorShapeProto abstrak	dapatkanBentuk () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder abstrak	dapatkanBentukOrBuilder () .tensorflow.TensorShapeProto shape = 2;
abstrak ke dalam	dapatkanShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
abstrak panjang	dapatkanUkuran () int64 size = 5;
TensorSliceProto abstrak	getSlices (indeks int) Iff present, this entry represents a partitioned tensor.
abstrak ke dalam	dapatkanSlicesCount () Iff present, this entry represents a partitioned tensor.
Daftar abstrak< TensorSliceProto >	dapatkanDaftar Irisan () Iff present, this entry represents a partitioned tensor.
abstrak TensorSliceProtoOrBuilder	getSlicesOrBuilder (indeks int) Iff present, this entry represents a partitioned tensor.
Daftar abstrak<? memperluas TensorSliceProtoOrBuilder >	dapatkanSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor.
boolean abstrak	memilikiBentuk () .tensorflow.TensorShapeProto shape = 2;

Metode Publik

public BundleEntryProto.Builder addAllSlices (nilai Iterable<? extends 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 addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

BundleEntryProto.Builder addSlices publik (int indeks, 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;

BundleEntryProto.Builder addSlices publik ( 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;

BundleEntryProto.Builder addSlices publik (nilai 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 addSlices publik (indeks int, nilai 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;

TensorSliceProto.Builder addSlicesBuilder publik (indeks 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;

TensorSliceProto.Builder publik 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 BundleEntryProto publik ()

BundleEntryProto buildPartial publik ()

BundleEntryProto.Builder publik jelas ()

BundleEntryProto.Builder publik clearCrc32C ()

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

BundleEntryProto.Builder publik clearDtype ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

BundleEntryProto.Builder clearField publik (bidang com.google.protobuf.Descriptors.FieldDescriptor)

BundleEntryProto.Builder publik clearOffset ()

int64 offset = 4;

BundleEntryProto.Builder publik clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

BundleEntryProto.Builder publik clearShape ()

.tensorflow.TensorShapeProto shape = 2;

BundleEntryProto.Builder publik clearShardId ()

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

int32 shard_id = 3;

BundleEntryProto.Builder publik clearSize ()

int64 size = 5;

BundleEntryProto.Builder publik 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;

klon BundleEntryProto.Builder publik ()

int publik getCrc32C ()

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

BundleEntryProto publik getDefaultInstanceForType ()

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

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

Tipe Data publik getDtype ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

int publik getDtypeValue ()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

getOffset panjang publik ()

int64 offset = 4;

TensorShapeProto getShape publik ()

.tensorflow.TensorShapeProto shape = 2;

TensorShapeProto.Builder publik getShapeBuilder ()

.tensorflow.TensorShapeProto shape = 2;

TensorShapeProtoOrBuilder publik getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

int publik getShardId ()

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

int32 shard_id = 3;

getSize panjang publik ()

int64 size = 5;

getSlices TensorSliceProto publik (indeks 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;

TensorSliceProto.Builder publik getSlicesBuilder (int indeks)

 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;

Daftar publik< 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;

int publik 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;

Daftar publik< 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;

TensorSliceProtoOrBuilder publik getSlicesOrBuilder (indeks 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;

Daftar Publik<? memperluas 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;

boolean publik hasShape ()

.tensorflow.TensorShapeProto shape = 2;

boolean akhir publik diinisialisasi ()

BundleEntryProto.Builder mergeFrom (com.google.protobuf.Message lainnya) publik

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

Melempar

Pengecualian IO

BundleEntryProto.Builder mergeShape publik (nilai TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

BundleEntryProto.Builder akhir publik menggabungkanUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

BundleEntryProto.Builder publik menghapusSlices (int indeks)

 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 setCrc32C publik (nilai int)

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

BundleEntryProto.Builder setDtype publik (nilai Tipe Data )

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

BundleEntryProto.Builder setDtypeValue publik (nilai int)

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

public BundleEntryProto.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

public BundleEntryProto.Builder setOffset (nilai panjang)

int64 offset = 4;

public BundleEntryProto.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

BundleEntryProto.Builder setShape publik (nilai TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

BundleEntryProto.Builder setShape publik ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

BundleEntryProto.Builder setShardId publik (nilai int)

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

int32 shard_id = 3;

public BundleEntryProto.Builder setSize (nilai panjang)

int64 size = 5;

BundleEntryProto.Builder setSlices publik (int indeks, 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;

BundleEntryProto.Builder setSlices publik (indeks int, nilai 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 akhir publik setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)