mindspore.ops.atleast_1d

mindspore.ops.atleast_1d(inputs)[source]

Reshapes Tensor in inputs, every Tensor has at least one dimension after this operation.

Scalar is converted to a 1-D Tensor, input tensor with one or more dimensions will be returned as it is.

Parameters: inputs (Union[Tensor, list[Tensor]]) – One or more input tensors.
Returns: Tensor or list[Tensor]. If returned a list, every element a in that list satisfies a.ndim >= 1.
Raises: TypeError – If the inputs is not a tensor or a list of tensors.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> x1 = Tensor(np.ones((2, 3)))
>>> x2 = Tensor(np.ones(()))
>>> x3 = Tensor(np.ones(5))
>>> out = ops.atleast_1d([x1, x2, x3])
>>> print(out[0].asnumpy())
[[1. 1. 1.]
 [1. 1. 1.]]
>>> print(out[1].asnumpy())
[1.]
>>> print(out[2].asnumpy())
[1. 1. 1. 1. 1.]