общедоступный интерфейс BundleEntryProtoOrBuilder
Известные косвенные подклассы |
Публичные методы
абстрактный интервал | getCrc32C () The CRC32C checksum of the tensor bytes. |
абстрактный тип данных | getDtype () The tensor dtype and shape. |
абстрактный интервал | 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 интервал | получитьShardId () 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 интервал | 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;