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.
Tensor or scalar, the truncated value of each element in x. This is a scalar if x is a scalar.
- Supported Platforms:
>>> 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.]