mindspore.Tensor.round

Tensor.round(decimals=0) → 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) – Number of decimal places to round to (default: 0). If decimals is negative, it specifies the number of positions to the left of the decimal point. It supports converting the single-element tensor to an int.

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.]