mindspore.ops.coo_asin

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

Computes arcsine of input coo_tensors element-wise.

\[out_i = sin^{-1}(x_i)\]

Parameters

x (COOTensor) – Input COOTensor. The shape of COOTensor is \((N,*)\) , where \(*\) means,any number of additional dimensions. The data type should be one of the following types: float16, float32, float64, complex64, complex128.

Returns

COOTensor, has the same shape and dtype as x.

Raises

TypeError – If x is not a COOTensor.
TypeError – If dtype of x is not float16, float32, float64, complex64, complex128.

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_asin(x)
>>> print(output.values)
[-1.5707964        nan]