mindspore.numpy.vstack
- mindspore.numpy.vstack(tup)[源代码]
- 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. - 参数
- 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. 
- 返回
- Stacked Tensor, formed by stacking the given tensors. 
 - Supported Platforms:
- Ascend- GPU- CPU
 - 异常
- TypeError – If tup is not Tensor, list or tuple. 
- ValueError – If tup is empty. 
 
 - 样例 - >>> 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]]