mindspore.numpy.trunc(x, dtype=None)[source]

Returns the truncated value of the input, element-wise.

The truncated value of the scalar x is the nearest integer i which is closer to zero than x is. In short, the fractional part of the signed number x is discarded.


Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported.

  • x (Tensor) – input data.

  • dtype (mindspore.dtype, optional) – defaults to None. Overrides the dtype of the output Tensor.


Tensor or scalar, the truncated value of each element in x. This is a scalar if x is a scalar.

Supported Platforms:

Ascend GPU CPU


>>> import mindspore.numpy as np
>>> output = np.trunc(np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]))
>>> print(output)
[-1. -1. -0.  0.  1.  1.  2.]