org.tensorflow.framework

Class TensorInfo.Builder

java.lang.Object

org.nd4j.shade.protobuf.AbstractMessageLite.Builder

org.nd4j.shade.protobuf.AbstractMessage.Builder<BuilderType>

org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

org.tensorflow.framework.TensorInfo.Builder

All Implemented Interfaces:

Cloneable, org.nd4j.shade.protobuf.Message.Builder, org.nd4j.shade.protobuf.MessageLite.Builder, org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder, TensorInfoOrBuilder

Enclosing class:

TensorInfo

public static final class TensorInfo.Builder
extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>
implements TensorInfoOrBuilder

 Information about a Tensor necessary for feeding or retrieval.
 

Protobuf type tensorflow.TensorInfo

Method Summary

Modifier and Type	Method and Description
TensorInfo.Builder	addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
TensorInfo	build()
TensorInfo	buildPartial()
TensorInfo.Builder	clear()
TensorInfo.Builder	clearCooSparse() There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Builder	clearDtype() .tensorflow.DataType dtype = 2;
TensorInfo.Builder	clearEncoding()
TensorInfo.Builder	clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
TensorInfo.Builder	clearName() For dense `Tensor`s, the name of the tensor in the graph.
TensorInfo.Builder	clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
TensorInfo.Builder	clearTensorShape() The static shape should be recorded here, to the extent that it can be known in advance.
TensorInfo.Builder	clone()
TensorInfo.CooSparse	getCooSparse() There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.CooSparse.Builder	getCooSparseBuilder() There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.CooSparseOrBuilder	getCooSparseOrBuilder() There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo	getDefaultInstanceForType()
static org.nd4j.shade.protobuf.Descriptors.Descriptor	getDescriptor()
org.nd4j.shade.protobuf.Descriptors.Descriptor	getDescriptorForType()
DataType	getDtype() .tensorflow.DataType dtype = 2;
int	getDtypeValue() .tensorflow.DataType dtype = 2;
TensorInfo.EncodingCase	getEncodingCase()
String	getName() For dense `Tensor`s, the name of the tensor in the graph.
org.nd4j.shade.protobuf.ByteString	getNameBytes() For dense `Tensor`s, the name of the tensor in the graph.
TensorShapeProto	getTensorShape() The static shape should be recorded here, to the extent that it can be known in advance.
TensorShapeProto.Builder	getTensorShapeBuilder() The static shape should be recorded here, to the extent that it can be known in advance.
TensorShapeProtoOrBuilder	getTensorShapeOrBuilder() The static shape should be recorded here, to the extent that it can be known in advance.
boolean	hasCooSparse() There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
boolean	hasTensorShape() The static shape should be recorded here, to the extent that it can be known in advance.
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
TensorInfo.Builder	mergeCooSparse(TensorInfo.CooSparse value) There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Builder	mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo.Builder	mergeFrom(org.nd4j.shade.protobuf.Message other)
TensorInfo.Builder	mergeFrom(TensorInfo other)
TensorInfo.Builder	mergeTensorShape(TensorShapeProto value) The static shape should be recorded here, to the extent that it can be known in advance.
TensorInfo.Builder	mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
TensorInfo.Builder	setCooSparse(TensorInfo.CooSparse.Builder builderForValue) There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Builder	setCooSparse(TensorInfo.CooSparse value) There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Builder	setDtype(DataType value) .tensorflow.DataType dtype = 2;
TensorInfo.Builder	setDtypeValue(int value) .tensorflow.DataType dtype = 2;
TensorInfo.Builder	setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
TensorInfo.Builder	setName(String value) For dense `Tensor`s, the name of the tensor in the graph.
TensorInfo.Builder	setNameBytes(org.nd4j.shade.protobuf.ByteString value) For dense `Tensor`s, the name of the tensor in the graph.
TensorInfo.Builder	setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
TensorInfo.Builder	setTensorShape(TensorShapeProto.Builder builderForValue) The static shape should be recorded here, to the extent that it can be known in advance.
TensorInfo.Builder	setTensorShape(TensorShapeProto value) The static shape should be recorded here, to the extent that it can be known in advance.
TensorInfo.Builder	setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3

Methods inherited from class org.nd4j.shade.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class org.nd4j.shade.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

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

Methods inherited from interface org.nd4j.shade.protobuf.MessageLite.Builder

mergeFrom

Method Detail

getDescriptor

public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

clear

public TensorInfo.Builder clear()

Specified by:

clear in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

clear in interface org.nd4j.shade.protobuf.MessageLite.Builder

Overrides:

clear in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

getDescriptorForType

public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface org.nd4j.shade.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

getDefaultInstanceForType

public TensorInfo getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilder

build

public TensorInfo build()

Specified by:

build in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

build in interface org.nd4j.shade.protobuf.MessageLite.Builder

buildPartial

public TensorInfo buildPartial()

Specified by:

buildPartial in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

buildPartial in interface org.nd4j.shade.protobuf.MessageLite.Builder

clone

public TensorInfo.Builder clone()

Specified by:

clone in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

clone in interface org.nd4j.shade.protobuf.MessageLite.Builder

Overrides:

clone in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

setField

public TensorInfo.Builder setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                   Object value)

Specified by:

setField in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

setField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

clearField

public TensorInfo.Builder clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

clearField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

clearOneof

public TensorInfo.Builder clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

clearOneof in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

setRepeatedField

public TensorInfo.Builder setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                           int index,
                                           Object value)

Specified by:

setRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

setRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

addRepeatedField

public TensorInfo.Builder addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                           Object value)

Specified by:

addRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

addRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

mergeFrom

public TensorInfo.Builder mergeFrom(org.nd4j.shade.protobuf.Message other)

Specified by:

mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<TensorInfo.Builder>

mergeFrom

public TensorInfo.Builder mergeFrom(TensorInfo other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

mergeFrom

public TensorInfo.Builder mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input,
                                    org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                             throws IOException

Specified by:

mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder

Specified by:

mergeFrom in interface org.nd4j.shade.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<TensorInfo.Builder>

Throws:

IOException

getEncodingCase

public TensorInfo.EncodingCase getEncodingCase()

Specified by:

getEncodingCase in interface TensorInfoOrBuilder

clearEncoding

public TensorInfo.Builder clearEncoding()

getName

public String getName()

 For dense `Tensor`s, the name of the tensor in the graph.
 

string name = 1;

Specified by:

getName in interface TensorInfoOrBuilder

getNameBytes

public org.nd4j.shade.protobuf.ByteString getNameBytes()

 For dense `Tensor`s, the name of the tensor in the graph.
 

string name = 1;

Specified by:

getNameBytes in interface TensorInfoOrBuilder

setName

public TensorInfo.Builder setName(String value)

 For dense `Tensor`s, the name of the tensor in the graph.
 

string name = 1;

clearName

public TensorInfo.Builder clearName()

 For dense `Tensor`s, the name of the tensor in the graph.
 

string name = 1;

setNameBytes

public TensorInfo.Builder setNameBytes(org.nd4j.shade.protobuf.ByteString value)

 For dense `Tensor`s, the name of the tensor in the graph.
 

string name = 1;

hasCooSparse

public boolean hasCooSparse()

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
 

.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

Specified by:

hasCooSparse in interface TensorInfoOrBuilder

getCooSparse

public TensorInfo.CooSparse getCooSparse()

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
 

.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

Specified by:

getCooSparse in interface TensorInfoOrBuilder

setCooSparse

public TensorInfo.Builder setCooSparse(TensorInfo.CooSparse value)

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
 

.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

setCooSparse

public TensorInfo.Builder setCooSparse(TensorInfo.CooSparse.Builder builderForValue)

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
 

.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

mergeCooSparse

public TensorInfo.Builder mergeCooSparse(TensorInfo.CooSparse value)

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
 

.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

clearCooSparse

public TensorInfo.Builder clearCooSparse()

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
 

.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

getCooSparseBuilder

public TensorInfo.CooSparse.Builder getCooSparseBuilder()

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
 

.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

getCooSparseOrBuilder

public TensorInfo.CooSparseOrBuilder getCooSparseOrBuilder()

 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
 uses only the COO encoding.  This is supported and documented in the
 SparseTensor Python class.
 

.tensorflow.TensorInfo.CooSparse coo_sparse = 4;

Specified by:

getCooSparseOrBuilder in interface TensorInfoOrBuilder

getDtypeValue

public int getDtypeValue()

.tensorflow.DataType dtype = 2;

Specified by:

getDtypeValue in interface TensorInfoOrBuilder

setDtypeValue

public TensorInfo.Builder setDtypeValue(int value)

.tensorflow.DataType dtype = 2;

getDtype

public DataType getDtype()

.tensorflow.DataType dtype = 2;

Specified by:

getDtype in interface TensorInfoOrBuilder

setDtype

public TensorInfo.Builder setDtype(DataType value)

.tensorflow.DataType dtype = 2;

clearDtype

public TensorInfo.Builder clearDtype()

.tensorflow.DataType dtype = 2;

hasTensorShape

public boolean hasTensorShape()

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
 

.tensorflow.TensorShapeProto tensor_shape = 3;

Specified by:

hasTensorShape in interface TensorInfoOrBuilder

getTensorShape

public TensorShapeProto getTensorShape()

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
 

.tensorflow.TensorShapeProto tensor_shape = 3;

Specified by:

getTensorShape in interface TensorInfoOrBuilder

setTensorShape

public TensorInfo.Builder setTensorShape(TensorShapeProto value)

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
 

.tensorflow.TensorShapeProto tensor_shape = 3;

setTensorShape

public TensorInfo.Builder setTensorShape(TensorShapeProto.Builder builderForValue)

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
 

.tensorflow.TensorShapeProto tensor_shape = 3;

mergeTensorShape

public TensorInfo.Builder mergeTensorShape(TensorShapeProto value)

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
 

.tensorflow.TensorShapeProto tensor_shape = 3;

clearTensorShape

public TensorInfo.Builder clearTensorShape()

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
 

.tensorflow.TensorShapeProto tensor_shape = 3;

getTensorShapeBuilder

public TensorShapeProto.Builder getTensorShapeBuilder()

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
 

.tensorflow.TensorShapeProto tensor_shape = 3;

getTensorShapeOrBuilder

public TensorShapeProtoOrBuilder getTensorShapeOrBuilder()

 The static shape should be recorded here, to the extent that it can
 be known in advance.  In the case of a SparseTensor, this field describes
 the logical shape of the represented tensor (aka dense_shape).
 

.tensorflow.TensorShapeProto tensor_shape = 3;

Specified by:

getTensorShapeOrBuilder in interface TensorInfoOrBuilder

setUnknownFields

public final TensorInfo.Builder setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

setUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>

mergeUnknownFields

public final TensorInfo.Builder mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorInfo.Builder>