mindspore.ops.sin

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mindspore.ops.sin(input)[source]

Computes sine of the input element-wise.

\[output_i = \sin(input_i)\]
Parameters

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

Returns

Tensor, has the same shape and dtype 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 – On CPU or GPU: If dtype of input is not float16, float32 or float64, complex64, complex128. On Ascend: If type of input is not bool, int8, uint8, int16, int32, int64, float16, float32 or float64, complex64, complex128.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([0.62, 0.28, 0.43, 0.62]), mindspore.float32)
>>> output = ops.sin(input)
>>> print(output)
[0.5810352 0.27635565 0.41687083 0.5810352]