コード例 #1
0
ファイル: distributions.py プロジェクト: ordabayevy/funsor
 def _infer_value_domain(cls, **kwargs):
     instance = cls.dist_class(**{
         k: dummy_numeric_array(domain)
         for k, domain in kwargs.items()
     },
                               validate_args=False)
     return Reals[instance.event_shape]
コード例 #2
0
 def _infer_value_domain(cls, **kwargs):
     # rely on the underlying distribution's logic to infer the event_shape given param domains
     instance = cls.dist_class(**{
         k: dummy_numeric_array(domain)
         for k, domain in kwargs.items()
     },
                               validate_args=False)
     out_shape = instance.event_shape
     if type(instance.support).__name__ == "_IntegerInterval":
         out_dtype = int(instance.support.upper_bound + 1)
     else:
         out_dtype = 'real'
     return Array[out_dtype, out_shape]