def __init__(<EOL>self,<EOL>indices,<EOL>size,<EOL>l2_regularization=<NUM_LIT:0.0>,<EOL>l1_regularization=<NUM_LIT:0.0>,<EOL>named_tensors=None,<EOL>scope='<STR_LIT>',<EOL>summary_labels=()<EOL>):
self.indices = indices<EOL>self.size = size<EOL>self.l2_regularization = l2_regularization<EOL>self.l1_regularization = l1_regularization<EOL>super(Embedding, self).__init__(named_tensors=named_tensors, scope=scope, summary_labels=summary_labels)<EOL>
Embedding layer.

Args:
    indices: Number of embedding indices.
    size: Embedding size.
    l2_regularization: L2 regularization weight.
    l1_regularization: L1 regularization weight.