mindspore.ops.sinh

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mindspore.ops.sinh(input)[source]

Computes hyperbolic sine of the input element-wise.

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

input (Tensor) –

The input tensor of hyperbolic sine function. Supported dtypes:

  • GPU/CPU: float16, float32, float64, complex64 or complex128.

  • Ascend: bool, int8, uint8, int16, int32, int64, float16, float32, float64, complex64, complex128 or bfloat16.

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 or bfloat16.

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.sinh(input)
>>> print(output)
[0.6604918  0.28367308 0.44337422 0.6604918 ]