class_docstr: This interesting layer produces an MVNDiag via affine transformation.
class_docstr_tok: ["This","interesting","layer","produces","an","MVNDiag","via","affine","transformation","."]
code: def __call__(self, x):
      if isinstance(x, independent.Independent) and isinstance(
          x.distribution, normal.Normal
      ):
          x = x.distribution.loc
      else:
          x = tf.convert_to_tensor(x, dtype_hint=tf.float32, name="x")
      y = self.bias + tf.matmul(x, self.kernel)
      return independent.Independent(
          normal.Normal(loc=y, scale=1), reinterpreted_batch_ndims=1
      )
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.experimental import nn
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the AffineMeanFieldNormal obj's underlying member method code with example usage: obj.__call__(x) and returns: independent