org.tensorflow.util

Interface BundleEntryProtoOrBuilder

All Superinterfaces:

org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder

All Known Implementing Classes:

BundleEntryProto, BundleEntryProto.Builder

public interface BundleEntryProtoOrBuilder
extends org.nd4j.shade.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
int	getCrc32C() The CRC32C checksum of the tensor bytes.
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;
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.
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;

Methods inherited from interface org.nd4j.shade.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getDtypeValue

int getDtypeValue()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

getDtype

DataType getDtype()

 The tensor dtype and shape.
 

.tensorflow.DataType dtype = 1;

hasShape

boolean hasShape()

.tensorflow.TensorShapeProto shape = 2;

getShape

TensorShapeProto getShape()

.tensorflow.TensorShapeProto shape = 2;

getShapeOrBuilder

TensorShapeProtoOrBuilder getShapeOrBuilder()

.tensorflow.TensorShapeProto shape = 2;

getShardId

int getShardId()

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

int32 shard_id = 3;

getOffset

long getOffset()

int64 offset = 4;

getSize

long getSize()

int64 size = 5;

getCrc32C

int getCrc32C()

 The CRC32C checksum of the tensor bytes.
 

fixed32 crc32c = 6;

getSlicesList

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;

getSlices

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;

getSlicesCount

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;

getSlicesOrBuilderList

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;

getSlicesOrBuilder

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;