TensorInfo.CooSparse.Builder

classe finale statique publique TensorInfo.CooSparse.Builder

 For sparse tensors, The COO encoding stores a triple of values, indices,
 and shape.
 
tensorflow.TensorInfo.CooSparse de type Protobuf

Méthodes publiques

TensorInfo.CooSparse.Builder
addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
TensorInfo.CooSparse
TensorInfo.CooSparse
TensorInfo.CooSparse.Builder
clair ()
TensorInfo.CooSparse.Builder
clearDenseShapeTensorName ()
 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.
TensorInfo.CooSparse.Builder
clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)
TensorInfo.CooSparse.Builder
clearIndicesTensorName ()
 The indices Tensor must have dtype int64 and shape [?, ?].
TensorInfo.CooSparse.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorInfo.CooSparse.Builder
clearValuesTensorName ()
 The shape of the values Tensor is [?].
TensorInfo.CooSparse.Builder
cloner ()
TensorInfo.CooSparse
Chaîne
getDenseShapeTensorName ()
 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.
com.google.protobuf.ByteString
getDenseShapeTensorNameBytes ()
 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.
final statique com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
Chaîne
getIndicesTensorName ()
 The indices Tensor must have dtype int64 and shape [?, ?].
com.google.protobuf.ByteString
getIndicesTensorNameBytes ()
 The indices Tensor must have dtype int64 and shape [?, ?].
Chaîne
getValuesTensorName ()
 The shape of the values Tensor is [?].
com.google.protobuf.ByteString
getValuesTensorNameBytes ()
 The shape of the values Tensor is [?].
booléen final
TensorInfo.CooSparse.Builder
mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorInfo.CooSparse.Builder
mergeFrom (com.google.protobuf.Message autre)
TensorInfo.CooSparse.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
TensorInfo.CooSparse.Builder
setDenseShapeTensorName (valeur de chaîne)
 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.
TensorInfo.CooSparse.Builder
setDenseShapeTensorNameBytes (valeur com.google.protobuf.ByteString)
 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.
TensorInfo.CooSparse.Builder
setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
TensorInfo.CooSparse.Builder
setIndicesTensorName (valeur de chaîne)
 The indices Tensor must have dtype int64 and shape [?, ?].
TensorInfo.CooSparse.Builder
setIndicesTensorNameBytes (valeur com.google.protobuf.ByteString)
 The indices Tensor must have dtype int64 and shape [?, ?].
TensorInfo.CooSparse.Builder
setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)
TensorInfo.CooSparse.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
TensorInfo.CooSparse.Builder
setValuesTensorName (valeur de chaîne)
 The shape of the values Tensor is [?].
TensorInfo.CooSparse.Builder
setValuesTensorNameBytes (valeur com.google.protobuf.ByteString)
 The shape of the values Tensor is [?].

Méthodes héritées

Méthodes publiques

public TensorInfo.CooSparse.Builder addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

build public TensorInfo.CooSparse ()

public TensorInfo.CooSparse buildPartial ()

public TensorInfo.CooSparse.Builder clearDenseShapeTensorName ()

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 
string dense_shape_tensor_name = 3;

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

public TensorInfo.CooSparse.Builder clearIndicesTensorName ()

 The indices Tensor must have dtype int64 and shape [?, ?].
 
string indices_tensor_name = 2;

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

public TensorInfo.CooSparse.Builder clearValuesTensorName ()

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 
string values_tensor_name = 1;

public TensorInfo.CooSparse getDefaultInstanceForType ()

chaîne publique getDenseShapeTensorName ()

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 
string dense_shape_tensor_name = 3;

public com.google.protobuf.ByteString getDenseShapeTensorNameBytes ()

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 
string dense_shape_tensor_name = 3;

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

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

chaîne publique getIndicesTensorName ()

 The indices Tensor must have dtype int64 and shape [?, ?].
 
string indices_tensor_name = 2;

public com.google.protobuf.ByteString getIndicesTensorNameBytes ()

 The indices Tensor must have dtype int64 and shape [?, ?].
 
string indices_tensor_name = 2;

chaîne publique getValuesTensorName ()

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 
string values_tensor_name = 1;

public com.google.protobuf.ByteString getValuesTensorNameBytes ()

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 
string values_tensor_name = 1;

public final booléen isInitialized ()

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

Jetés
IOException

public TensorInfo.CooSparse.Builder mergeFrom (com.google.protobuf.Message autre)

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

public TensorInfo.CooSparse.Builder setDenseShapeTensorName (valeur de chaîne)

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 
string dense_shape_tensor_name = 3;

public TensorInfo.CooSparse.Builder setDenseShapeTensorNameBytes (valeur com.google.protobuf.ByteString)

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
 
string dense_shape_tensor_name = 3;

public TensorInfo.CooSparse.Builder setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

public TensorInfo.CooSparse.Builder setIndicesTensorName (valeur de chaîne)

 The indices Tensor must have dtype int64 and shape [?, ?].
 
string indices_tensor_name = 2;

public TensorInfo.CooSparse.Builder setIndicesTensorNameBytes (valeur com.google.protobuf.ByteString)

 The indices Tensor must have dtype int64 and shape [?, ?].
 
string indices_tensor_name = 2;

public TensorInfo.CooSparse.Builder setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)

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

public TensorInfo.CooSparse.Builder setValuesTensorName (valeur de chaîne)

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 
string values_tensor_name = 1;

public TensorInfo.CooSparse.Builder setValuesTensorNameBytes (valeur com.google.protobuf.ByteString)

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
 
string values_tensor_name = 1;