code: def hybrid_forward(self, F, x: Tensor) -> Tuple[Tensor, ...]:
      nan_prob = self.proj_nan_prob(x)
      component_args = self.component_projection(x)
      return tuple([nan_prob.squeeze(axis=-1), component_args])
  
imports: from typing import Optional, Tuple
  from mxnet import gluon
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .deterministic import Deterministic
  from .distribution import Distribution, getF, nans_like
  from .distribution_output import DistributionOutput
  from .mixture import MixtureDistribution
label_desc: Use image node_id 2 for calling the NanMixtureArgs obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: tuple