mindspore.numpy.vstack

mindspore.numpy.vstack(tup)[source]

Stacks tensors in sequence vertically. This is equivalent to concatenation along the first axis. 1-D tensors should firstly be reshaped to (1, N), and then be concatenated along the first axis.

Parameters: tup (Union[Tensor, tuple, list]) – A sequence of 1-D or 2-D tensors. The tensors must have the same shape along all but the first axis. 1-D tensors must have the same shape.
Returns: Stacked Tensor, formed by stacking the given tensors.

Supported Platforms:: Ascend GPU CPU

Raises

TypeError – If tup is not Tensor, list or tuple.
ValueError – If tup is empty.

Examples

>>> import mindspore.numpy as np
>>> x1 = np.array([1, 2, 3]).astype('int32')
>>> x2 = np.array([4, 5, 6]).astype('int32')
>>> output = np.vstack((x1, x2))
>>> print(output)
[[1 2 3]
 [4 5 6]]