mindspore.ops.cos

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mindspore.ops.cos(input)[source]

Computes cosine of input element-wise.

\[out_i = \cos(x_i)\]

Warning

Using float64 may cause a problem of missing precision.

Parameters

input (Tensor) – The shape of tensor is \((N,*)\) where \(*\) means, any number of additional dimensions.

Returns

Tensor, has the same shape as the input. The dtype of output is float32 when dtype of input is in [bool, int8, uint8, int16, int32, int64]. Otherwise output has the same dtype as the input.

Raises

  • TypeError – If input is not a Tensor.

  • TypeError –

    • CPU/GPU: If dtype of input is not float16, float32 or float64, complex64, complex128.

    • Ascend: If dtype of input is not bool, int8, uint8, int16, int32, int64, float16, float32, float64, complex64, complex128.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([0.24, 0.83, 0.31, 0.09]), mindspore.float32)
>>> output = ops.cos(input)
>>> print(output)
[0.971338 0.6748758 0.95233357 0.9959527]