mindspore.numpy.asarray

mindspore.numpy.asarray(a, dtype=None)[source]

Converts the input to tensor.

This function converts tensors from an array-like object.

Parameters

  • a (Union[int, float, bool, list, tuple, Tensor]) – Input data, in any form that can be converted to a Tensor. This includes Tensor, list, tuple and numbers.

  • dtype (Union[mindspore.dtype, str], optional) – Designated tensor dtype, can be in format of np.int32, or 'int32'. If dtype is None, the data type of the new tensor will be inferred from obj. Default is None .

Returns

Tensor, generated tensor with the specified dtype.

Raises

  • TypeError – If input arguments have types not specified above.

  • ValueError – If input a has different sizes at different dimensions.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> print(np.asarray([1,2,3]))
[1 2 3]