TensorInfo.Builder

public static final class TensorInfo.Builder 

 Information about a Tensor necessary for feeding or retrieval.
Protobuf type tensorflow.TensorInfo

Public Methods

TensorInfo.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
TensorInfo
build()
TensorInfo
buildPartial()
TensorInfo.Builder
clear()
TensorInfo.Builder
clearCompositeTensor() 
 Generic encoding for CompositeTensors.
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(com.google.protobuf.Descriptors.FieldDescriptor field)
TensorInfo.Builder
clearName() 
 For dense `Tensor`s, the name of the tensor in the graph.
TensorInfo.Builder
clearOneof(com.google.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.CompositeTensor
getCompositeTensor() 
 Generic encoding for CompositeTensors.
TensorInfo.CompositeTensor.Builder
getCompositeTensorBuilder() 
 Generic encoding for CompositeTensors.
TensorInfo.CompositeTensorOrBuilder
getCompositeTensorOrBuilder() 
 Generic encoding for CompositeTensors.
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()
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.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.
com.google.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
hasCompositeTensor() 
 Generic encoding for CompositeTensors.
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.
final boolean
isInitialized()
TensorInfo.Builder
mergeCompositeTensor(TensorInfo.CompositeTensor value) 
 Generic encoding for CompositeTensors.
TensorInfo.Builder
mergeCooSparse(TensorInfo.CooSparse value) 
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Builder
mergeFrom(com.google.protobuf.Message other)
TensorInfo.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo.Builder
mergeTensorShape(TensorShapeProto value) 
 The static shape should be recorded here, to the extent that it can
 be known in advance.
final TensorInfo.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
TensorInfo.Builder
setCompositeTensor(TensorInfo.CompositeTensor value) 
 Generic encoding for CompositeTensors.
TensorInfo.Builder
setCompositeTensor(TensorInfo.CompositeTensor.Builder builderForValue) 
 Generic encoding for CompositeTensors.
TensorInfo.Builder
setCooSparse(TensorInfo.CooSparse value) 
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
TensorInfo.Builder
setCooSparse(TensorInfo.CooSparse.Builder builderForValue) 
 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(com.google.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(com.google.protobuf.ByteString value) 
 For dense `Tensor`s, the name of the tensor in the graph.
TensorInfo.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
TensorInfo.Builder
setTensorShape(TensorShapeProto value) 
 The static shape should be recorded here, to the extent that it can
 be known in advance.
TensorInfo.Builder
setTensorShape(TensorShapeProto.Builder builderForValue) 
 The static shape should be recorded here, to the extent that it can
 be known in advance.
final TensorInfo.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Inherited Methods

Public Methods

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

public TensorInfo build ()

public TensorInfo buildPartial ()

public TensorInfo.Builder clear ()

public TensorInfo.Builder clearCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

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;

public TensorInfo.Builder clearDtype ()

.tensorflow.DataType dtype = 2;

public TensorInfo.Builder clearEncoding ()

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

public TensorInfo.Builder clearName () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

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

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;

public TensorInfo.Builder clone ()

public TensorInfo.CompositeTensor getCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public TensorInfo.CompositeTensor.Builder getCompositeTensorBuilder () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

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;

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;

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;

public TensorInfo getDefaultInstanceForType ()

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

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

public DataType getDtype ()

.tensorflow.DataType dtype = 2;

public int getDtypeValue ()

.tensorflow.DataType dtype = 2;

public TensorInfo.EncodingCase getEncodingCase ()

public String getName () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

public com.google.protobuf.ByteString getNameBytes () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

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;

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;

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;

public boolean hasCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

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;

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;

public final boolean isInitialized ()

public TensorInfo.Builder mergeCompositeTensor (TensorInfo.CompositeTensor value) 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

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;

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

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

Throws
IOException

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;

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

public TensorInfo.Builder setCompositeTensor (TensorInfo.CompositeTensor value) 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public TensorInfo.Builder setCompositeTensor (TensorInfo.CompositeTensor.Builder builderForValue) 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

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;

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;

public TensorInfo.Builder setDtype (DataType value)

.tensorflow.DataType dtype = 2;

public TensorInfo.Builder setDtypeValue (int value)

.tensorflow.DataType dtype = 2;

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

public TensorInfo.Builder setName (String value) 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

public TensorInfo.Builder setNameBytes (com.google.protobuf.ByteString value) 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

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

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;

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;

public final TensorInfo.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)