kelas akhir publik SavedSliceMeta
Metadata describing the set of slices of the same tensor saved in a checkpoint file.
tensorflow.SavedSliceMeta
Kelas Bersarang
kelas | DisimpanSliceMeta.Builder | Metadata describing the set of slices of the same tensor saved in a checkpoint file. |
Konstanta
ke dalam | NAME_FIELD_NUMBER | |
ke dalam | BENTUK_FIELD_NUMBER | |
ke dalam | SLICE_FIELD_NUMBER | |
ke dalam | TYPE_FIELD_NUMBER |
Metode Publik
boolean | sama dengan (Objek objek) |
SavedSliceMeta statis | |
SliceMeta yang Disimpan | |
com.google.protobuf.Descriptors.Descriptor statis terakhir | |
Rangkaian | dapatkan Nama () Name of the tensor. |
com.google.protobuf.ByteString | dapatkanNamaBytes () Name of the tensor. |
ke dalam | |
TensorBentukProto | dapatkanBentuk () Shape of the tensor .tensorflow.TensorShapeProto shape = 2; |
TensorShapeProtoOrBuilder | dapatkanBentukOrBuilder () Shape of the tensor .tensorflow.TensorShapeProto shape = 2; |
TensorSliceProto | getSlice (indeks int) Explicit list of slices saved in the checkpoint file. |
ke dalam | dapatkanSliceCount () Explicit list of slices saved in the checkpoint file. |
Daftar< TensorSliceProto > | dapatkanDaftar Irisan () Explicit list of slices saved in the checkpoint file. |
TensorSliceProtoOrBuilder | getSliceOrBuilder (indeks int) Explicit list of slices saved in the checkpoint file. |
Daftar<? memperluas TensorSliceProtoOrBuilder > | dapatkanSliceOrBuilderList () Explicit list of slices saved in the checkpoint file. |
Tipe Data | dapatkan Tipe () Type of the tensor .tensorflow.DataType type = 3; |
ke dalam | dapatkanTypeValue () Type of the tensor .tensorflow.DataType type = 3; |
final com.google.protobuf.UnknownFieldSet | |
boolean | memilikiBentuk () Shape of the tensor .tensorflow.TensorShapeProto shape = 2; |
ke dalam | Kode hash () |
boolean terakhir | |
SavedSliceMeta.Builder statis | newBuilder (prototipe SavedSliceMeta ) |
SavedSliceMeta.Builder statis | |
DisimpanSliceMeta.Builder | |
SavedSliceMeta statis | parseDelimitedFrom (masukan Aliran Masukan) |
SavedSliceMeta statis | parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
SavedSliceMeta statis | parseFrom (data ByteBuffer) |
SavedSliceMeta statis | parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
SavedSliceMeta statis | parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
SavedSliceMeta statis | parseFrom (com.google.protobuf.CodedInputStream masukan) |
SavedSliceMeta statis | parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
SavedSliceMeta statis | parseFrom (com.google.protobuf.ByteString data) |
SavedSliceMeta statis | parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
SavedSliceMeta statis | parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
statis | pengurai () |
DisimpanSliceMeta.Builder | |
ruang kosong | writeTo (com.google.protobuf.CodedOutputStream keluaran) |
Metode Warisan
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 () |
Tali abstrak | dapatkan Nama () Name of the tensor. |
abstrak com.google.protobuf.ByteString | dapatkanNamaBytes () Name of the tensor. |
TensorShapeProto abstrak | dapatkanBentuk () Shape of the tensor .tensorflow.TensorShapeProto shape = 2; |
TensorShapeProtoOrBuilder abstrak | dapatkanBentukOrBuilder () Shape of the tensor .tensorflow.TensorShapeProto shape = 2; |
TensorSliceProto abstrak | getSlice (indeks int) Explicit list of slices saved in the checkpoint file. |
abstrak ke dalam | dapatkanSliceCount () Explicit list of slices saved in the checkpoint file. |
Daftar abstrak< TensorSliceProto > | dapatkanDaftar Irisan () Explicit list of slices saved in the checkpoint file. |
abstrak TensorSliceProtoOrBuilder | getSliceOrBuilder (indeks int) Explicit list of slices saved in the checkpoint file. |
Daftar abstrak<? memperluas TensorSliceProtoOrBuilder > | dapatkanSliceOrBuilderList () Explicit list of slices saved in the checkpoint file. |
Tipe Data abstrak | dapatkan Tipe () Type of the tensor .tensorflow.DataType type = 3; |
abstrak ke dalam | dapatkanTypeValue () Type of the tensor .tensorflow.DataType type = 3; |
boolean abstrak | memilikiBentuk () Shape of the tensor .tensorflow.TensorShapeProto shape = 2; |
Konstanta
int akhir statis publik NAME_FIELD_NUMBER
Nilai Konstan: 1
int akhir statis publik SHAPE_FIELD_NUMBER
Nilai Konstan: 2
int akhir statis publik SLICE_FIELD_NUMBER
Nilai Konstan: 4
int akhir statis publik TYPE_FIELD_NUMBER
Nilai Konstan: 3
Metode Publik
boolean publik sama (Obj objek)
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
GetName String publik ()
Name of the tensor.
string name = 1;
publik com.google.protobuf.ByteString getNameBytes ()
Name of the tensor.
string name = 1;
publik dapatkanParserForType ()
publik int getSerializedSize ()
TensorShapeProtoOrBuilder publik getShapeOrBuilder ()
Shape of the tensor
.tensorflow.TensorShapeProto shape = 2;
TensorSliceProto getSlice publik (indeks int)
Explicit list of slices saved in the checkpoint file.
repeated .tensorflow.TensorSliceProto slice = 4;
int publik getSliceCount ()
Explicit list of slices saved in the checkpoint file.
repeated .tensorflow.TensorSliceProto slice = 4;
Daftar publik< TensorSliceProto > getSliceList ()
Explicit list of slices saved in the checkpoint file.
repeated .tensorflow.TensorSliceProto slice = 4;
TensorSliceProtoOrBuilder publik getSliceOrBuilder (indeks int)
Explicit list of slices saved in the checkpoint file.
repeated .tensorflow.TensorSliceProto slice = 4;
Daftar Publik<? memperluas TensorSliceProtoOrBuilder > getSliceOrBuilderList ()
Explicit list of slices saved in the checkpoint file.
repeated .tensorflow.TensorSliceProto slice = 4;
publik int getTypeValue ()
Type of the tensor
.tensorflow.DataType type = 3;
public final com.google.protobuf.UnknownFieldSet getUnknownFields ()
boolean publik hasShape ()
Shape of the tensor
.tensorflow.TensorShapeProto shape = 2;
kode hash int publik ()
boolean akhir publik diinisialisasi ()
public static SavedSliceMeta parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
---|
parseFrom SavedSliceMeta statis publik (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
---|
parseFrom SavedSliceMeta statis publik (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
InvalidProtocolBufferException |
---|
parseFrom SavedSliceMeta statis publik (com.google.protobuf.CodedInputStream input)
Melempar
Pengecualian IO |
---|
parseFrom SavedSliceMeta statis publik (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
InvalidProtocolBufferException |
---|
parseFrom SavedSliceMeta statis publik (com.google.protobuf.ByteString data)
Melempar
InvalidProtocolBufferException |
---|
parseFrom SavedSliceMeta statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
---|
parseFrom SavedSliceMeta statis publik (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
InvalidProtocolBufferException |
---|
statis publik pengurai ()
public void writeTo (keluaran com.google.protobuf.CodedOutputStream)
Melempar
Pengecualian IO |
---|