is_nan

dragon.math.is_nan(
  inputs,
  **kwargs
)[source]

Check if the elements of input are NaN.

\[\text{out} = \text{isnan}(\text{input}) \]

Examples:

x = dragon.constant([0., 1., float('nan')])
print(dragon.math.is_nan(x))  # [False, False, True]
Parameters:
Returns:

dragon.Tensor – The output tensor.