code: def _two_piece_normal_sample_fwd(sample_shape, skewness, seed):
      """Compute output, aux (collaborates with _two_piece_normal_sample_bwd)."""
      samples = _two_piece_normal_sample_no_gradient(
          sample_shape, skewness, seed
      )
      return samples, (skewness, samples)
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import custom_gradient
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import special_math
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.math import special
  from tensorflow_probability.python.math.numeric import log1psquare
label_desc: Use image node_id 7 for calling a global function with example usage: _two_piece_normal_sample_fwd(sample_shape, skewness, seed) and returns: samples,  skewness,  samples