BundleEntryProtoOrBuilder

공용 인터페이스 BundleEntryProtoOrBuilder
알려진 간접 하위 클래스

공개 방법

추상 정수
getCrc32C ()
 The CRC32C checksum of the tensor bytes.
추상 데이터 유형
getD유형 ()
 The tensor dtype and shape.
추상 정수
getDtype값 ()
 The tensor dtype and shape.
추상적인 긴
getOffset ()
int64 offset = 4;
추상 TensorShapeProto
getShape ()
.tensorflow.TensorShapeProto shape = 2;
추상 TensorShapeProtoOrBuilder
getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
추상 정수
getShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
추상적인 긴
getSize ()
int64 size = 5;
추상 TensorSliceProto
getSlices (정수 인덱스)
 Iff present, this entry represents a partitioned tensor.
추상 정수
getSlicesCount ()
 Iff present, this entry represents a partitioned tensor.
추상 목록< TensorSliceProto >
getSlicesList ()
 Iff present, this entry represents a partitioned tensor.
추상 TensorSliceProtoOrBuilder
getSlicesOrBuilder (정수 인덱스)
 Iff present, this entry represents a partitioned tensor.
추상 목록<? TensorSliceProtoOrBuilder 확장 >
getSlicesOrBuilderList ()
 Iff present, this entry represents a partitioned tensor.
추상 부울
해시쉐이프 ()
.tensorflow.TensorShapeProto shape = 2;

공개 방법

공개 추상 int getCrc32C ()

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

공개 추상 데이터 유형 getDtype ()

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

공개 추상 int getDtypeValue ()

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

공개 추상 긴 getOffset ()

int64 offset = 4;

공개 추상 TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

공개 추상 TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

공개 추상 int getShardId ()

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

공개 추상 긴 getSize ()

int64 size = 5;

공개 추상 TensorSliceProto getSlices (int 인덱스)

 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;

공개 추상 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;

공개 추상 목록< 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;

공개 추상 TensorSliceProtoOrBuilder getSlicesOrBuilder (int 인덱스)

 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;

공개 요약 목록<? TensorSliceProtoOrBuilder > getSlicesOrBuilderList () 를 확장합니다.

 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;

공개 추상 부울 hasShape ()

.tensorflow.TensorShapeProto shape = 2;