mindspore.ops.unstack
- mindspore.ops.unstack(input_x, axis=0)[source]
Unstacks tensor in specified axis.
Unstacks a tensor of rank R along axis dimension, output tensors will have rank (R-1).
Given a tensor of shape \((x_1, x_2, ..., x_R)\). If \(0 \le axis\), the shape of tensor in output is \((x_1, x_2, ..., x_{axis}, x_{axis+2}, ..., x_R)\).
This is the opposite of pack.
- Parameters
- Returns
A tuple of tensors, the shape of each objects is the same.
- Raises
ValueError – If axis is out of the range [-len(input_x.shape), len(input_x.shape)).
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> input_x = Tensor(np.array([[1, 1, 1, 1], [2, 2, 2, 2]])) >>> output = ops.unstack(input_x, 0) >>> print(output) (Tensor(shape=[4], dtype=Int64, value= [1, 1, 1, 1]), Tensor(shape=[4], dtype=Int64, value= [2, 2, 2, 2]))