BundleEntryProtoOrBuilder

giao diện công cộng BundleEntryProtoOrBuilder
Các lớp con gián tiếp đã biết

Phương pháp công khai

int trừu tượng
getCrc32C ()
 The CRC32C checksum of the tensor bytes.
kiểu dữ liệu trừu tượng
getDtype ()
 The tensor dtype and shape.
int trừu tượng
getDtypeValue ()
 The tensor dtype and shape.
trừu tượng dài
getOffset ()
int64 offset = 4;
trừu tượng TensorShapeProto
getShape ()
.tensorflow.TensorShapeProto shape = 2;
trừu tượng TensorShapeProtoOrBuilder
getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
int trừu tượng
getShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
trừu tượng dài
lấyKích thước ()
int64 size = 5;
trừu tượng TensorSliceProto
getSlices (chỉ mục int)
 Iff present, this entry represents a partitioned tensor.
int trừu tượng
getSlicesCount ()
 Iff present, this entry represents a partitioned tensor.
Danh sách trừu tượng< TensorSliceProto >
getSlicesList ()
 Iff present, this entry represents a partitioned tensor.
trừu tượng TensorSliceProtoOrBuilder
getSlicesOrBuilder (chỉ mục int)
 Iff present, this entry represents a partitioned tensor.
Danh sách trừu tượng<? mở rộng TensorSliceProtoOrBuilder >
getSlicesOrBuilderList ()
 Iff present, this entry represents a partitioned tensor.
trừu tượng boolean
hasShape ()
.tensorflow.TensorShapeProto shape = 2;

Phương pháp công khai

tóm tắt công khai int getCrc32C () 

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

Tóm tắt công khai DataType getDtype () 

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

tóm tắt công khai int getDtypeValue () 

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

tóm tắt công khai dài getOffset ()

int64 offset = 4;

tóm tắt công khai TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

tóm tắt công khai TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

tóm tắt công khai int getShardId () 

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

tóm tắt công khai dài getSize ()

int64 size = 5;

tóm tắt công khai TensorSliceProto getSlices (chỉ mục 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;

tóm tắt công khai 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;

Danh sách tóm tắt công khai< 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;

tóm tắt công khai TensorSliceProtoOrBuilder getSlicesOrBuilder (chỉ mục 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;

Danh sách tóm tắt công khai<? mở rộng 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;

boolean trừu tượng công khai hasShape ()

.tensorflow.TensorShapeProto shape = 2;