BundleEntryProtoOrBuilder

رابط عمومی BundleEntryProtoOrBuilder
زیر کلاس های غیر مستقیم شناخته شده

روش های عمومی

انتزاعی
getCrc32C ()
 The CRC32C checksum of the tensor bytes.
نوع داده انتزاعی
getDtype ()
 The tensor dtype and shape.
انتزاعی
getDtypeValue ()
 The tensor dtype and shape.
انتزاعی طولانی
getOffset ()
int64 offset = 4;
انتزاعی TensorShapeProto
getShape ()
.tensorflow.TensorShapeProto shape = 2;
انتزاعی TensorShapeProtoOrBuilder
getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
انتزاعی
getShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
انتزاعی طولانی
getSize ()
int64 size = 5;
چکیده TensorSliceProto
getSlices (شاخص int)
 Iff present, this entry represents a partitioned tensor.
انتزاعی
getSlicesCount ()
 Iff present, this entry represents a partitioned tensor.
فهرست انتزاعی< TensorSliceProto >
getSlicesList ()
 Iff present, this entry represents a partitioned tensor.
انتزاعی TensorSliceProtoOrBuilder
getSlicesOrBuilder (int index)
 Iff present, this entry represents a partitioned tensor.
فهرست چکیده <? TensorSliceProtoOrBuilder را گسترش می دهد
getSlicesOrBuilderList ()
 Iff present, this entry represents a partitioned tensor.
بولی انتزاعی
hasShape ()
.tensorflow.TensorShapeProto shape = 2;

روش های عمومی

انتزاع عمومی int getCrc32C ()

 The CRC32C checksum of the tensor bytes.
 
fixed32 crc32c = 6;

انتزاعی عمومی DataType getDtype ()

 The tensor dtype and shape.
 
.tensorflow.DataType dtype = 1;

انتزاعی عمومی int getDtypeValue ()

 The tensor dtype and shape.
 
.tensorflow.DataType dtype = 1;

انتزاع عمومی طولانی getOffset ()

int64 offset = 4;

انتزاعی عمومی TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

انتزاعی عمومی TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

انتزاعی عمومی int getShardId ()

 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
 
int32 shard_id = 3;

انتزاع عمومی طولانی getSize ()

int64 size = 5;

انتزاعی عمومی 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;

انتزاع عمومی 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;

فهرست انتزاعی عمومی< 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;

انتزاعی عمومی TensorSliceProtoOrBuilder getSlicesOrBuilder (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;

فهرست چکیده عمومی<? گسترش 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 بولی انتزاعی عمومی ()

.tensorflow.TensorShapeProto shape = 2;