interfaz pública BundleEntryProtoOrBuilder
| Subclases indirectas conocidas |
Métodos públicos
| resumen entero | obtenerCrc32C () The CRC32C checksum of the tensor bytes. |
| tipo de datos abstracto | obtener tipo D () The tensor dtype and shape. |
| resumen entero | getDtypeValue () The tensor dtype and shape. |
| resumen largo | obtener compensación () int64 offset = 4; |
| resumen TensorShapeProto | obtener forma () .tensorflow.TensorShapeProto shape = 2; |
| abstracto TensorShapeProtoOrBuilder | getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2; |
| resumen entero | obtenerId de fragmento () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size). |
| resumen largo | obtenerTamaño () int64 size = 5; |
| resumen TensorSliceProto | getSlices (índice int) Iff present, this entry represents a partitioned tensor. |
| resumen entero | getSlicesCount () Iff present, this entry represents a partitioned tensor. |
| Lista abstracta <TensorSliceProto> | obtener lista de rebanadas () Iff present, this entry represents a partitioned tensor. |
| abstracto TensorSliceProtoOrBuilder | getSlicesOrBuilder (índice int) Iff present, this entry represents a partitioned tensor. |
| Lista abstracta<? extiende TensorSliceProtoOrBuilder > | getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor. |
| booleano abstracto | tiene forma () .tensorflow.TensorShapeProto shape = 2; |
Métodos públicos
resumen público int getCrc32C ()
The CRC32C checksum of the tensor bytes.
fixed32 crc32c = 6; Tipo de datos abstracto público getDtype ()
The tensor dtype and shape.
.tensorflow.DataType dtype = 1; resumen público int getDtypeValue ()
The tensor dtype and shape.
.tensorflow.DataType dtype = 1; getOffset largo abstracto público ()
int64 offset = 4;
resumen público TensorShapeProtoOrBuilder getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
resumen público int getShardId ()
The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
int32 shard_id = 3; getSize largo abstracto público ()
int64 size = 5;
resumen 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; resumen 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 abstracta 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; resumen 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 de resúmenes públicos <? 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 abstracto público ()
.tensorflow.TensorShapeProto shape = 2;