mindspore.numpy.atleast_1d

mindspore.numpy.atleast_1d(*arys)[source]

Converts inputs to arrays with at least one dimension.

Scalar inputs are converted to 1-dimensional arrays, whilst higher-dimensional inputs are preserved.

Note

In graph mode, returns a tuple of tensor instead of a list of tensors.

Parameters: *arys (Tensor) – one or more input tensors.
Returns: Tensor, or list of tensors, each with a.ndim >= 1.
Raises: TypeError – if the input is not a tensor.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> a = np.ones((2, 3))
>>> b = np.ones(())
>>> c = np.ones(5)
>>> output = np.atleast_1d(a, b, c)
>>> print(output)
    [Tensor(shape=[2, 3], dtype=Float32, value=
    [[1.00000000e+000, 1.00000000e+000, 1.00000000e+000],
    [1.00000000e+000, 1.00000000e+000, 1.00000000e+000]]),
    Tensor(shape=[1], dtype=Float32, value= [1.00000000e+000]),
    Tensor(shape=[5], dtype=Float32,
    value= [1.00000000e+000, 1.00000000e+000, 1.00000000e+000,
    1.00000000e+000, 1.00000000e+000])]