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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def embedding_to_padding(emb):
 """Input embeddings -> is_padding."""

  emb_sum = tf.reduce_sum(tf.abs(emb), axis=-1, keep_dims=True)
  return tf.to_float(tf.equal(emb_sum, 0.0))