mindspore.Tensor.sinh

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Tensor.sinh() → Tensor

Computes hyperbolic sine of the self element-wise.

\[output_i = \sinh(self_i)\]
Returns

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

Raises

  • TypeError – If self is not a Tensor.

  • TypeError –

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

    • Ascend: If dtype of self is not bool, int8, uint8, int16, int32, int64, float16, float32, float64, complex64, complex128 or bfloat16.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor
>>> input = Tensor(np.array([0.62, 0.28, 0.43, 0.62]), mindspore.float32)
>>> output = input.sinh()
>>> print(output)
[0.6604918  0.28367308 0.44337422 0.6604918 ]