mindspore.ops.coo_isnan

mindspore.ops.coo_isnan(x)[source]

Determines which elements are NaN for each position.

\[\begin{split}out_i = \begin{cases} & \ True,\ \text{ if } x_{i} = \text{Nan} \\ & \ False,\ \text{ if } x_{i} \ne \text{Nan} \end{cases}\end{split}\]

where \(Nan\) means not a number.

Parameters: x (COOTensor) – The input COOTensor.
Returns: COOTensor, has the same shape of input, and the dtype is bool.
Raises: TypeError – If x is not a COOTensor.

Supported Platforms:: Ascend GPU CPU

Examples

>>> from mindspore import dtype as mstype
>>> from mindspore import Tensor, ops, COOTensor
>>> 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_isnan(x)
>>> print(output.values)
[False False]