parameters: (self, vocab_size, emb_dim)
docstring: init function
docstring_summary: init function
docstring_tokens: init function
function: def __init__(self, vocab_size, emb_dim): 
          """
          init function
          """
          self.vocab_size = vocab_size
          self.emb_dim = emb_dim
          init_scope = math.sqrt(6.0 / (vocab_size + emb_dim))
          emb_shape = [self.vocab_size, self.emb_dim]
          self.embedding = tf.Variable(tf.random_uniform(
              emb_shape, -init_scope, init_scope))
function_tokens: def __init__ ( self , vocab_size , emb_dim ) : self . vocab_size = vocab_size self . emb_dim = emb_dim init_scope = math . sqrt ( 6.0 / ( vocab_size + emb_dim ) ) emb_shape = [ self . vocab_size , self . emb_dim ] self . embedding = tf . Variable ( tf . random_uniform ( emb_shape , - init_scope , init_scope ) )