mindspore.nn.SequentialCell

class mindspore.nn.SequentialCell(*args)

Sequential cell container.

A list of Cells will be added to it in the order they are passed in the constructor. Alternatively, an ordered dict of cells can also be passed in.

Parameters

args (list, OrderedDict) – List of subclass of Cell.

Inputs:

• x (Tensor) - Tensor with shape according to the first Cell in the sequence.

Outputs:

Tensor, the output Tensor with shape depending on the input x and defined sequence of Cells.

Raises

TypeError – If the type of the args is not list or OrderedDict.

Supported Platforms:

Ascend GPU CPU

Examples

>>> conv = nn.Conv2d(3, 2, 3, pad_mode='valid', weight_init="ones")
>>> relu = nn.ReLU()
>>> seq = nn.SequentialCell([conv, relu])
>>> x = Tensor(np.ones([1, 3, 4, 4]), dtype=mindspore.float32)
>>> output = seq(x)
>>> print(output)
[[[[27. 27.]
   [27. 27.]]
  [[27. 27.]
   [27. 27.]]]]

append(cell)

Appends a given cell to the end of the list.

Examples

>>> conv = nn.Conv2d(3, 2, 3, pad_mode='valid', weight_init="ones")
>>> bn = nn.BatchNorm2d(2)
>>> relu = nn.ReLU()
>>> seq = nn.SequentialCell([conv, bn])
>>> seq.append(relu)
>>> x = Tensor(np.ones([1, 3, 4, 4]), dtype=mindspore.float32)
>>> output = seq(x)
>>> print(output)
[[[[26.999863 26.999863]
   [26.999863 26.999863]]
  [[26.999863 26.999863]
   [26.999863 26.999863]]]]