pyro/infer/autoguide/guides.py

Survived

Mutant 437

--- pyro/infer/autoguide/guides.py
+++ pyro/infer/autoguide/guides.py
@@ -90,7 +90,6 @@
         self.prototype_trace = None
         self._plates = {}
 
-    @property
     def model(self):
         return self._model[0]
 

Mutant 438

--- pyro/infer/autoguide/guides.py
+++ pyro/infer/autoguide/guides.py
@@ -269,7 +269,7 @@
         sample site name to computed median tensor.
     """
 
-    def __init__(self, model, guide, median=lambda *args, **kwargs: {}):
+    def __init__(self, model, guide, median=lambda *args, **kwargs: None):
         super().__init__(model)
         self._guide = guide
         self.median = median

Mutant 439

--- pyro/infer/autoguide/guides.py
+++ pyro/infer/autoguide/guides.py
@@ -373,7 +373,7 @@
         guide = AutoNormal(model)
         svi = SVI(model, guide, ...)
     """
-    def __init__(self, model, init_loc_fn=init_to_feasible, init_scale=0.1):
+    def __init__(self, model, init_loc_fn=init_to_feasible, init_scale=1.1):
         self.init_loc_fn = init_loc_fn
 
         if not isinstance(init_scale, float) or not (init_scale > 0):

Mutant 440

--- pyro/infer/autoguide/guides.py
+++ pyro/infer/autoguide/guides.py
@@ -707,7 +707,7 @@
         (unconstrained transformed) latent variable.
     """
 
-    def __init__(self, model, init_loc_fn=init_to_median, init_scale=0.1):
+    def __init__(self, model, init_loc_fn=init_to_median, init_scale=1.1):
         if not isinstance(init_scale, float) or not (init_scale > 0):
             raise ValueError("Expected init_scale > 0. but got {}".format(init_scale))
         self._init_scale = init_scale

Mutant 441

--- pyro/infer/autoguide/guides.py
+++ pyro/infer/autoguide/guides.py
@@ -757,7 +757,7 @@
         (unconstrained transformed) latent variable.
     """
 
-    def __init__(self, model, init_loc_fn=init_to_median, init_scale=0.1):
+    def __init__(self, model, init_loc_fn=init_to_median, init_scale=1.1):
         if not isinstance(init_scale, float) or not (init_scale > 0):
             raise ValueError("Expected init_scale > 0. but got {}".format(init_scale))
         self._init_scale = init_scale

Mutant 442

--- pyro/infer/autoguide/guides.py
+++ pyro/infer/autoguide/guides.py
@@ -812,7 +812,7 @@
         deviation of each (unconstrained transformed) latent variable.
     """
 
-    def __init__(self, model, init_loc_fn=init_to_median, init_scale=0.1, rank=None):
+    def __init__(self, model, init_loc_fn=init_to_median, init_scale=1.1, rank=None):
         if not isinstance(init_scale, float) or not (init_scale > 0):
             raise ValueError("Expected init_scale > 0. but got {}".format(init_scale))
         if not (rank is None or isinstance(rank, int) and rank > 0):

Mutant 443

--- pyro/infer/autoguide/guides.py
+++ pyro/infer/autoguide/guides.py
@@ -922,7 +922,7 @@
         :func:`~pyro.distributions.transforms.affine_autoregressive`.
     """
 
-    def __init__(self, model, hidden_dim=None, init_loc_fn=None, num_transforms=1, **init_transform_kwargs):
+    def __init__(self, model, hidden_dim=None, init_loc_fn=None, num_transforms=2, **init_transform_kwargs):
         if init_loc_fn:
             warnings.warn("The `init_loc_fn` argument to AutoIAFNormal is not used in practice. "
                           "Please consider removing, as this may be removed in a future release.",