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mindspore.ops.Stack

class mindspore.ops.Stack(axis=0)

Stacks a list of tensors in specified axis.

Stacks the list of input tensors with the same rank R, output is a tensor of rank (R+1).

Given input tensors of shape $(x_1,x_2,...,x_R)$. Set the number of input tensors as N. If $0\le axis$, the shape of the output tensor is $(x_1,x_2,...,x_{axis},N,x_{axis+1},...,x_R)$.

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.

Raises

• TypeError – If the data types of elements in input_x are not the same.

• ValueError – If the length of input_x is not greater than 1; or if axis is out of the range [-(R+1), R+1); or if the shapes of elements in input_x are not the same.

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.]]