mindspore.mint.special.round

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mindspore.mint.special.round(input)[source]

Returns half to even of a tensor element-wise.

\[out_i \approx input_i\]

Note

The input data types supported by the Ascend platform include bfloat16 (Atlas training series products are not supported), float16, float32, float64, int32, and int64.

Parameters

input (Tensor) – The input tensor.

Returns

Tensor, has the same shape and type as the input.

Raises

TypeError – If input is not a Tensor.

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, mint
>>> input = Tensor(np.array([0.8, 1.5, 2.3, 2.5, -4.5]), mindspore.float32)
>>> output = mint.special.round(input)
>>> print(output)
[ 1.  2.  2.  2. -4.]