BundleEntryProto.Builder

public static final class BundleEntryProto.Builder

 Describes the metadata related to a checkpointed tensor.
 
Protobuf type tensorflow.BundleEntryProto

Public Methods

BundleEntryProto.Builder
addAllSlices(Iterable<? extends TensorSliceProto> values)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
BundleEntryProto.Builder
addSlices(int index, TensorSliceProto.Builder builderForValue)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addSlices(TensorSliceProto.Builder builderForValue)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addSlices(TensorSliceProto value)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
addSlices(int index, TensorSliceProto value)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
addSlicesBuilder(int index)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
addSlicesBuilder()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto
build()
BundleEntryProto
BundleEntryProto.Builder
clear()
BundleEntryProto.Builder
clearCrc32C()
 The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder
clearDtype()
 The tensor dtype and shape.
BundleEntryProto.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
BundleEntryProto.Builder
clearOffset()
int64 offset = 4;
BundleEntryProto.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
BundleEntryProto.Builder
clearShape()
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
clearShardId()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder
clearSize()
int64 size = 5;
BundleEntryProto.Builder
clearSlices()
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
clone()
int
getCrc32C()
 The CRC32C checksum of the tensor bytes.
BundleEntryProto
final static com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
DataType
getDtype()
 The tensor dtype and shape.
int
getDtypeValue()
 The tensor dtype and shape.
long
getOffset()
int64 offset = 4;
TensorShapeProto
getShape()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder
getShapeBuilder()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder
getShapeOrBuilder()
.tensorflow.TensorShapeProto shape = 2;
int
getShardId()
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
long
getSize()
int64 size = 5;
TensorSliceProto
getSlices(int index)
 Iff present, this entry represents a partitioned tensor.
TensorSliceProto.Builder
getSlicesBuilder(int index)
 Iff present, this entry represents a partitioned tensor.
List<TensorSliceProto.Builder>
getSlicesBuilderList()
 Iff present, this entry represents a partitioned tensor.
int
getSlicesCount()
 Iff present, this entry represents a partitioned tensor.
List<TensorSliceProto>
getSlicesList()
 Iff present, this entry represents a partitioned tensor.
TensorSliceProtoOrBuilder
getSlicesOrBuilder(int index)
 Iff present, this entry represents a partitioned tensor.
List<? extends TensorSliceProtoOrBuilder>
getSlicesOrBuilderList()
 Iff present, this entry represents a partitioned tensor.
boolean
hasShape()
.tensorflow.TensorShapeProto shape = 2;
final boolean
BundleEntryProto.Builder
mergeFrom(com.google.protobuf.Message other)
BundleEntryProto.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BundleEntryProto.Builder
mergeShape(TensorShapeProto value)
.tensorflow.TensorShapeProto shape = 2;
final BundleEntryProto.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
BundleEntryProto.Builder
removeSlices(int index)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
setCrc32C(int value)
 The CRC32C checksum of the tensor bytes.
BundleEntryProto.Builder
setDtype(DataType value)
 The tensor dtype and shape.
BundleEntryProto.Builder
setDtypeValue(int value)
 The tensor dtype and shape.
BundleEntryProto.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
BundleEntryProto.Builder
setOffset(long value)
int64 offset = 4;
BundleEntryProto.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
BundleEntryProto.Builder
setShape(TensorShapeProto value)
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
setShape(TensorShapeProto.Builder builderForValue)
.tensorflow.TensorShapeProto shape = 2;
BundleEntryProto.Builder
setShardId(int value)
 The binary content of the tensor lies in:
   File "shard_id": bytes [offset, offset + size).
BundleEntryProto.Builder
setSize(long value)
int64 size = 5;
BundleEntryProto.Builder
setSlices(int index, TensorSliceProto.Builder builderForValue)
 Iff present, this entry represents a partitioned tensor.
BundleEntryProto.Builder
setSlices(int index, TensorSliceProto value)
 Iff present, this entry represents a partitioned tensor.
final BundleEntryProto.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Inherited Methods

Public Methods

public BundleEntryProto.Builder addAllSlices (Iterable<? extends TensorSliceProto> values)

 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 BundleEntryProto.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public BundleEntryProto.Builder addSlices (int index, TensorSliceProto.Builder builderForValue)

 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 BundleEntryProto.Builder addSlices (TensorSliceProto.Builder builderForValue)

 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 BundleEntryProto.Builder addSlices (TensorSliceProto value)

 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 BundleEntryProto.Builder addSlices (int index, TensorSliceProto value)

 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 TensorSliceProto.Builder addSlicesBuilder (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;

public TensorSliceProto.Builder addSlicesBuilder ()

 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 BundleEntryProto build ()

public BundleEntryProto buildPartial ()

public BundleEntryProto.Builder clear ()

public BundleEntryProto.Builder clearCrc32C ()

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

public BundleEntryProto.Builder clearDtype ()

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

public BundleEntryProto.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor field)

public BundleEntryProto.Builder clearOffset ()

int64 offset = 4;

public BundleEntryProto.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

public BundleEntryProto.Builder clearShape ()

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder clearShardId ()

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

public BundleEntryProto.Builder clearSize ()

int64 size = 5;

public BundleEntryProto.Builder clearSlices ()

 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 BundleEntryProto.Builder clone ()

public int getCrc32C ()

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

public BundleEntryProto getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

public DataType getDtype ()

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

public int getDtypeValue ()

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

public long getOffset ()

int64 offset = 4;

public TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

public TensorShapeProto.Builder getShapeBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public int getShardId ()

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

public long getSize ()

int64 size = 5;

public 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;

public TensorSliceProto.Builder getSlicesBuilder (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;

public List<TensorSliceProto.Builder> getSlicesBuilderList ()

 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 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 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;

public 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;

public List<? 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;

public boolean hasShape ()

.tensorflow.TensorShapeProto shape = 2;

public final boolean isInitialized ()

public BundleEntryProto.Builder mergeFrom (com.google.protobuf.Message other)

public BundleEntryProto.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public BundleEntryProto.Builder mergeShape (TensorShapeProto value)

.tensorflow.TensorShapeProto shape = 2;

public final BundleEntryProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public BundleEntryProto.Builder removeSlices (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;

public BundleEntryProto.Builder setCrc32C (int value)

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

public BundleEntryProto.Builder setDtype (DataType value)

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

public BundleEntryProto.Builder setDtypeValue (int value)

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

public BundleEntryProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public BundleEntryProto.Builder setOffset (long value)

int64 offset = 4;

public BundleEntryProto.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)

public BundleEntryProto.Builder setShape (TensorShapeProto value)

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShape (TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

public BundleEntryProto.Builder setShardId (int value)

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

public BundleEntryProto.Builder setSize (long value)

int64 size = 5;

public BundleEntryProto.Builder setSlices (int index, TensorSliceProto.Builder builderForValue)

 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 BundleEntryProto.Builder setSlices (int index, TensorSliceProto value)

 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 final BundleEntryProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)