Tensor class - aiplatform library

Constructors

Tensor({Tensor_DataType dtype = Tensor_DataType.$default, List<int> shape = const [], List<bool> boolVal = const [], List<String> stringVal = const [], List<Uint8List> bytesVal = const [], List<double> floatVal = const [], List<double> doubleVal = const [], List<int> intVal = const [], List<int> int64Val = const [], List<int> uintVal = const [], List<BigInt> uint64Val = const [], List<Tensor> listVal = const [], Map<String, Tensor> structVal = const {}, Uint8List? tensorVal})
Tensor.fromJson(Object? j): factory

boolVal → List<bool>: Type specific representations that make it easy to create tensor protos in all languages. Only the representation corresponding to "dtype" can be set. The values hold the flattened representation of the tensor in row major order.
final
bytesVal → List<Uint8List>: STRING
final
doubleVal → List<double>: DOUBLE
final
dtype → Tensor_DataType: The data type of tensor.
final
floatVal → List<double>: FLOAT
final
hashCode → int: The hash code for this object.
no setterinherited
int64Val → List<int>: INT64
final
intVal → List<int>: INT_8 INT_16 INT_32
final
listVal → List<Tensor>: A list of tensor values.
final
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
shape → List<int>: Shape of the tensor.
final
stringVal → List<String>: STRING
final
structVal → Map<String, Tensor>: A map of string to tensor.
final
tensorVal → Uint8List: Serialized raw tensor content.
final
uint64Val → List<BigInt>: UINT64
final
uintVal → List<int>: UINT8 UINT16 UINT32
final

noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object: override
toString() → String: A string representation of this object.
override