(self, x)
return self.mlp(x)
:param x: Float tensor of size ``(batch_size, num_fields, embed_dim)``
:param x: Float tensor of size ``(batch_size, num_fields, embed_dim)``
: param x : Float tensor of size ( batch_size num_fields embed_dim )
def forward(self, x):
        """
        :param x: Float tensor of size ``(batch_size, num_fields, embed_dim)``
        """
        return self.mlp(x)
def forward ( self , x ) : return self . mlp ( x )