code: def __init__(self, parameters, deterministic=False):
      # Last axis to account for channels-last
      self.mean, self.logvar = jnp.split(parameters, 2, axis=-1)
      self.logvar = jnp.clip(self.logvar, -30.0, 20.0)
      self.deterministic = deterministic
      self.std = jnp.exp(0.5 * self.logvar)
      self.var = jnp.exp(self.logvar)
      if self.deterministic:
          self.var = self.std = jnp.zeros_like(self.mean)
  
imports: import math
  from functools import partial
  from typing import Tuple
  import flax
  import flax.linen
  import jax
  import jax.numpy
  from flax.core.frozen_dict import FrozenDict
  from ..configuration_utils import ConfigMixin, flax_register_to_config
  from ..utils import BaseOutput
  from .modeling_flax_utils import FlaxModelMixin
label_desc: Use image node_id 1 to create a new FlaxDiagonalGaussianDistribution object from inherited base classes: object with example: obj = FlaxDiagonalGaussianDistribution(parameters, deterministic)