mindspore.ops.coo_cosh

mindspore.ops.coo_cosh(x: COOTensor)[source]

Computes hyperbolic cosine of input element-wise.

\[out_i = \cosh(x_i)\]

Parameters

x (COOTensor) – The input COOTensor of hyperbolic cosine function, its rank must be in [0, 7] inclusive and data type must be float16, float32, float64, complex64 or complex128.

Returns

COOTensor, has the same shape as x.

Raises

TypeError – If the dtype of x is not one of the following types: float16, float32, float64, complex64, complex128.
TypeError – If x is not a COOTensor.

Supported Platforms:: Ascend GPU CPU

Examples

>>> indices = Tensor([[0, 1], [1, 2]], dtype=mstype.int64)
>>> values = Tensor([-1, 2], dtype=mstype.float32)
>>> shape = (3, 4)
>>> x = COOTensor(indices, values, shape)
>>> output = ops.coo_cosh(x)
>>> print(output.values)
[1.5430807 3.7621956]