mindspore.numpy.isnan

mindspore.numpy.isnan(x, dtype=None)[source]

Tests element-wise for NaN and return result as a boolean array.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. Only np.float32 is currently supported.

Parameters

x (Tensor) – Input values.
dtype (mindspore.dtype, optional) – defaults to None. Overrides the dtype of the output Tensor.

Returns

Tensor or scalar, true where x is NaN, false otherwise. This is a scalar if x is a scalar.

Supported Platforms:: GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.isnan(np.array(np.nan, np.float32))
>>> print(output)
True
>>> output = np.isnan(np.array(np.inf, np.float32))
>>> print(output)
False