mindspore.ops.Acosh
- class mindspore.ops.Acosh[source]
Computes inverse hyperbolic cosine of the inputs element-wise.
\[out_i = \cosh^{-1}(input_i)\]Warning
Given an input tensor x, the function computes inverse hyperbolic cosine of every element. Input range is [1, inf].
- Inputs:
x (Tensor) - The data type should be one of the following types: float16, float32. \((N,*)\) where \(*\) means, any number of additional dimensions, its rank should less than 8.
- Outputs:
Tensor, has the same shape and type as x.
- Raises
TypeError – If x is not a Tensor.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import numpy as np >>> import mindspore.ops as ops >>> from mindspore import Tensor, dtype >>> acosh = ops.Acosh() >>> x = Tensor(np.array([1.0, 1.5, 3.0, 100.0]), dtype.float32) >>> output = acosh(x) >>> print(output) [0. 0.9624236 1.7627472 5.298292]