parameters: (self)
docstring: Initialize LBeta.
docstring_summary: Initialize LBeta.
docstring_tokens: Initialize LBeta .
function: def __init__(self):
          """Initialize LBeta."""
          super(LBeta, self).__init__()
          # const numbers
          self.log_2pi = np.log(2 * np.pi)
          self.minimax_coeff = [-0.165322962780713e-02,
                                0.837308034031215e-03,
                                -0.595202931351870e-03,
                                0.793650666825390e-03,
                                -0.277777777760991e-02,
                                0.833333333333333e-01]
  
          # operations
          self.log = P.Log()
          self.log1p = P.Log1p()
          self.less = P.Less()
          self.select = P.Select()
          self.shape = P.Shape()
          self.dtype = P.DType()
          self.lgamma = LGamma()
          self.const = P.ScalarToTensor()
function_tokens: def __init__ ( self ) : super ( LBeta , self ) . __init__ ( ) # const numbers self . log_2pi = np . log ( 2 * np . pi ) self . minimax_coeff = [ - 0.165322962780713e-02 , 0.837308034031215e-03 , - 0.595202931351870e-03 , 0.793650666825390e-03 , - 0.277777777760991e-02 , 0.833333333333333e-01 ] # operations self . log = P . Log ( ) self . log1p = P . Log1p ( ) self . less = P . Less ( ) self . select = P . Select ( ) self . shape = P . Shape ( ) self . dtype = P . DType ( ) self . lgamma = LGamma ( ) self . const = P . ScalarToTensor ( )