BundleEntryProtoOrBuilder

パブリック インターフェイスBundleEntryProtoOrBuilder
既知の間接サブクラス

パブリックメソッド

抽象整数
getCrc32C ()
 The CRC32C checksum of the tensor bytes.
抽象データ型
getDtype ()
 The tensor dtype and shape.
抽象整数
getDtypeValue ()
 The tensor dtype and shape.
抽象的な長い
getOffset ()
int64 offset = 4;
抽象TensorShapeProto
getShape ()
.tensorflow.TensorShapeProto shape = 2;
抽象TensorShapeProtoOrBuilder
getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
抽象整数
getShardId ()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
抽象的な長い
getSize ()
int64 size = 5;
抽象TensorSliceProto
getSlices (int インデックス)
 Iff present, this entry represents a partitioned tensor.
抽象整数
getスライス数()
 Iff present, this entry represents a partitioned tensor.
抽象リスト< TensorSliceProto >
getSlicesList ()
 Iff present, this entry represents a partitioned tensor.
抽象TensorSliceProtoOrBuilder
getSlicesOrBuilder (int インデックス)
 Iff present, this entry represents a partitioned tensor.
抽象リスト<? TensorSliceProtoOrBuilderを拡張 >
getSlicesOrBuilderList ()
 Iff present, this entry represents a partitioned tensor.
抽象ブール値
hasShape ()
.tensorflow.TensorShapeProto shape = 2;

パブリックメソッド

パブリック抽象 int getCrc32C ()

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

public abstract DataType getDtype ()

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

パブリック抽象 int getDtypeValue ()

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

public abstract long getOffset ()

int64 offset = 4;

パブリック抽象TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

パブリック抽象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;

パブリック抽象long getSize ()

int64 size = 5;

public abstract TensorSliceProto getSlices (int インデックス)

 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;

public abstract List< 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;

パブリック抽象TensorSliceProtoOrBuilder getSlicesOrBuilder (int インデックス)

 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;

公開抄録リスト<? extends 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;

パブリック抽象ブール値hasShape ()

.tensorflow.TensorShapeProto shape = 2;