mindspore.Tensor.round
- Tensor.round(decimals) Tensor
Returns half to even of a tensor element-wise.
\[out_i \approx self_i\]Note
The self data types supported by the Ascend platform include bfloat16 (Atlas training series products are not supported), float16, float32, float64, int32, and int64.
- Parameters
decimals (int, optional) –
0
). If decimals isnegative –
supports (it specifies the number of positions to the left of the decimal point. It) –
int. (converting the single-element tensor to an) –
- Returns
Tensor, has the same shape and type as the self.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor >>> input = Tensor(np.array([0.8, 1.5, 2.3, 2.5, -4.5]), mindspore.float32) >>> output = input.round() >>> print(output) [ 1. 2. 2. 2. -4.]