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