mars.tensor.trunc¶

mars.tensor.trunc(x, out=None, where=None, **kwargs)[源代码]¶

Return 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.

参数

x (array_like) – Input data.
out (Tensor, None, or tuple of Tensor and None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs –

返回

y – The truncated value of each element in x.

返回类型

Tensor or scalar

参见

ceil, floor, rint

实际案例

>>> import mars.tensor as mt

>>> a = mt.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])
>>> mt.trunc(a).execute()
array([-1., -1., -0.,  0.,  1.,  1.,  2.])

mars.tensor.ceil

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