mindspore.ops.Stack

class mindspore.ops.Stack(axis=0)[source]

Stacks a list of tensors in specified axis.

Refer to mindspore.ops.stack() for more details.

Parameters: axis (int) – Dimension to stack. Default: 0. Negative values wrap around. The range is [-(R+1), R+1).

Inputs:

input_x (Union[tuple, list]) - A Tuple or list of Tensor objects with the same shape and type.

Outputs:

Tensor. A stacked Tensor with the same type as input_x.

Supported Platforms:

Ascend GPU CPU

Examples

>>> data1 = Tensor(np.array([0, 1]).astype(np.float32))
>>> data2 = Tensor(np.array([2, 3]).astype(np.float32))
>>> stack = ops.Stack()
>>> output = stack([data1, data2])
>>> print(output)
[[0. 1.]
 [2. 3.]]