is_nan¶

dragon.vm.tensorflow.math.is_nan(
  x,
  name=None
)[source]¶

Check if the elements of input are NaN.

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

Examples:

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

Parameters:

• x (dragon.Tensor) – The input tensor.
• name (str, optional) – The operation name.

Returns:

dragon.Tensor – The output tensor.