общедоступный интерфейс BundleEntryProtoOrBuilder
| Известные косвенные подклассы |
Публичные методы
| абстрактный int | getCrc32C () The CRC32C checksum of the tensor bytes. |
| абстрактный тип данных | getDtype () The tensor dtype and shape. |
| абстрактный int | getDtypeValue () The tensor dtype and shape. |
| абстрактный длинный | получитьСмещение () int64 offset = 4; |
| абстрактный TensorShapeProto | получитьШейп () .tensorflow.TensorShapeProto shape = 2; |
| абстрактный TensorShapeProtoOrBuilder | getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2; |
| абстрактный int | getShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size). |
| абстрактный длинный | получитьРазмер () int64 size = 5; |
| абстрактный TensorSliceProto | getSlices (индекс целого числа) Iff present, this entry represents a partitioned tensor. |
| абстрактный int | getSlicesCount () Iff present, this entry represents a partitioned tensor. |
| абстрактный список <TensorSliceProto> | получитьСписокСрезов () Iff present, this entry represents a partitioned tensor. |
| абстрактный TensorSliceProtoOrBuilder | getSlicesOrBuilder (индекс int) Iff present, this entry represents a partitioned tensor. |
| абстрактный список<? расширяет TensorSliceProtoOrBuilder > | getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor. |
| абстрактное логическое значение | имеетШейп () .tensorflow.TensorShapeProto shape = 2; |
Публичные методы
общедоступный абстрактный int getCrc32C ()
The CRC32C checksum of the tensor bytes.
fixed32 crc32c = 6; общедоступный абстрактный тип данных getDtype ()
The tensor dtype and shape.
.tensorflow.DataType dtype = 1; общедоступный абстрактный int getDtypeValue ()
The tensor dtype and shape.
.tensorflow.DataType dtype = 1; публичный абстрактный длинный getOffset ()
int64 offset = 4;
публичный абстрактный TensorShapeProtoOrBuilder getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
общедоступный абстрактный int getShardId ()
The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
int32 shard_id = 3; публичный абстрактный длинный getSize ()
int64 size = 5;
общедоступный абстрактный TensorSliceProto getSlices (индекс 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; публичный абстрактный 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; общедоступный абстрактный список < 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; публичный абстрактный TensorSliceProtoOrBuilder getSlicesOrBuilder (индекс 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; публичный абстрактный список<? расширяет 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; общедоступное абстрактное логическое значение hasShape ()
.tensorflow.TensorShapeProto shape = 2;