parameters: (self, input, scalar, inplace=True, name=None)
return_statement: return Tensor(handle, owner_op_type=OpType.SCALAR_TRUEDIV)
docstring: Scalar regular division of a tensor by an scalar.
               
      :param input: the input Tensor.
      :type input: Tensor
  
      :param input: the scalar
      :type scalar: float
               
      :param name: the name of the layer. Default is None.
      :type name: string
  
      :returns:  Tensor -- the output tensor.
docstring_summary: Scalar regular division of a tensor by an scalar.
               
      :param input: the input Tensor.
      :type input: Tensor
docstring_tokens: Scalar regular division of a tensor by an scalar . : param input : the input Tensor . : type input : Tensor
function: def scalar_true_divide(self, input, scalar, inplace=True, name=None):
      """Scalar regular division of a tensor by an scalar.
               
      :param input: the input Tensor.
      :type input: Tensor
  
      :param input: the scalar
      :type scalar: float
               
      :param name: the name of the layer. Default is None.
      :type name: string
  
      :returns:  Tensor -- the output tensor.
      """
      c_name = get_c_name(name)
      handle = ffc.flexflow_model_add_scalar_truediv(self.handle, input.handle, scalar, inplace, c_name)
      self.add_layer(OpType.SCALAR_TRUEDIV, name)
      return Tensor(handle, owner_op_type=OpType.SCALAR_TRUEDIV)
function_tokens: def scalar_true_divide ( self , input , scalar , inplace = True , name = None ) : c_name = get_c_name ( name ) handle = ffc . flexflow_model_add_scalar_truediv ( self . handle , input . handle , scalar , inplace , c_name ) self . add_layer ( OpType . SCALAR_TRUEDIV , name ) return Tensor ( handle , owner_op_type = OpType . SCALAR_TRUEDIV )