BundleEntryProtoOrBuilder

antarmuka publik BundleEntryProtoOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

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

abstrak publik int getCrc32C () 

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

Tipe Data abstrak publik getDtype () 

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

abstrak publik int getDtypeValue () 

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

getOffset panjang abstrak publik ()

int64 offset = 4;

TensorShapeProto getShape abstrak publik ()

.tensorflow.TensorShapeProto shape = 2;

abstrak publik TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

abstrak publik int getShardId () 

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

abstrak publik getSize panjang ()

int64 size = 5;

abstrak publik TensorSliceProto getSlices (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;

abstrak publik 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;

Daftar abstrak 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;

abstrak publik TensorSliceProtoOrBuilder getSlicesOrBuilder (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 abstrak 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 abstrak publik hasShape ()

.tensorflow.TensorShapeProto shape = 2;