mindspore.numpy.asfarray(a, dtype=mstype.float32)[source]

Similar to asarray, converts the input to a float tensor.

If non-float dtype is defined, this function will return a float32 tensor instead.

  • 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 a. Default is mindspore.float32.


Tensor, generated tensor with the specified float dtype.

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

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

Supported Platforms:

Ascend GPU CPU


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