mindspore.ops.Unstack
- class mindspore.ops.Unstack(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
axis (int) – Dimension along which to pack. Default: 0. Negative values wrap around. The range is [-R, R).
- Inputs:
input_x (Tensor) - The shape is \((x_1, x_2, ..., x_R)\). A tensor to be unstacked and the rank of the tensor must be greater than 0.
- Outputs:
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
>>> unstack = ops.Unstack() >>> input_x = Tensor(np.array([[1, 1, 1, 1], [2, 2, 2, 2]])) >>> output = unstack(input_x) >>> print(output) (Tensor(shape=[4], dtype=Int64, value= [1, 1, 1, 1]), Tensor(shape=[4], dtype=Int64, value= [2, 2, 2, 2]))