interface pública BundleEntryProtoOrBuilder
| Subclasses indiretas conhecidas |
Métodos Públicos
| abstrato int | getCrc32C () The CRC32C checksum of the tensor bytes. |
| DataType abstrato | getDtype () The tensor dtype and shape. |
| abstrato int | getDtypeValue () The tensor dtype and shape. |
| abstrato longo | getOffset () int64 offset = 4; |
| TensorShapeProto abstrato | getShape () .tensorflow.TensorShapeProto shape = 2; |
| TensorShapeProtoOrBuilder abstrato | getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2; |
| abstrato int | getShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size). |
| abstrato longo | getSize () int64 size = 5; |
| TensorSliceProto abstrato | getSlices (índice int) Iff present, this entry represents a partitioned tensor. |
| abstrato int | getSlicesCount () Iff present, this entry represents a partitioned tensor. |
| Lista abstrata < TensorSliceProto > | getSlicesList () Iff present, this entry represents a partitioned tensor. |
| TensorSliceProtoOrBuilder abstrato | |
| Lista abstrata <? estende TensorSliceProtoOrBuilder > | getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor. |
| booleano abstrato | hasShape () .tensorflow.TensorShapeProto shape = 2; |
Métodos Públicos
public abstract int getCrc32C ()
The CRC32C checksum of the tensor bytes.
fixed32 crc32c = 6;public abstract int getDtypeValue ()
The tensor dtype and shape.
.tensorflow.DataType dtype = 1;public abstract long getOffset ()
int64 offset = 4;
public abstract TensorShapeProtoOrBuilder getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
public abstract int getShardId ()
The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
int32 shard_id = 3;public abstract long getSize ()
int64 size = 5;
public abstract TensorSliceProto getSlices (int index)
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;public abstract 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 abstrata 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;public abstract TensorSliceProtoOrBuilder getSlicesOrBuilder (índice interno )
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 resumos pública <? estende 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;public abstract boolean hasShape ()
.tensorflow.TensorShapeProto shape = 2;