mindspore.ParameterTuple

class mindspore.ParameterTuple

Inherited from tuple, ParameterTuple is used to save multiple parameter.

Note

It is used to store the parameters of the network into the parameter tuple collection.

Examples

>>> from mindspore import Tensor, Parameter, ParameterTuple
>>> import numpy as np
>>> x = Parameter(Tensor(np.array([[1, 2], [3, 4]], dtype=np.float32)), name="param")
>>> y = Parameter(Tensor(np.array([[5, 6], [7, 8]], dtype=np.float32)), name="param1")
>>> pt = ParameterTuple([x, y])
>>> pt1 = pt.clone(prefix="new")

clone(prefix, init='same')

Clone the parameters in ParameterTuple element-wisely to generate a new ParameterTuple.

Parameters

• prefix (str) – Namespace of parameter, the prefix string will be added to the names of parameters in parametertuple.

• init (Union[Tensor, str, numbers.Number]) –

  Clone the shape and dtype of Parameters in ParameterTuple and set data according to init. Default: ‘same’.

  • If init is a Tensor , set the new Parameter data to the input Tensor.

  • If init is numbers.Number , set the new Parameter data to the input number.

  • If init is a str, data will be set according to the initialization method of the same name in the Initializer.

  • If init is ‘same’, the new Parameter has the same value with the original Parameter.

Returns

Tuple, the new Parameter tuple.

Tutorial Examples:

• Cell and Parameter - Parameter Tuple