Remove unnecessary gradient related methods from dummy Ops

Author: ricardoV94

pymc/logprob/transform_value.py

@@ -16,7 +16,6 @@
 
 import numpy as np
 
-from pytensor.gradient import DisconnectedType
 from pytensor.graph import Apply, Op
 from pytensor.graph.features import AlreadyThere, Feature
 from pytensor.graph.fg import FunctionGraph
@@ -44,15 +43,9 @@ def make_node(self, tran_value: TensorVariable, value: TensorVariable):
     def perform(self, node, inputs, outputs):
         raise NotImplementedError("These `Op`s should be removed from graphs used for computation.")
 
-    def connection_pattern(self, node):
-        return [[True], [False]]
-
     def infer_shape(self, fgraph, node, input_shapes):
         return [input_shapes[0]]
 
-    def grad(self, args, g_outs):
-        return g_outs[0], DisconnectedType()()
-
 
 transformed_value = TransformedValue()
 
@@ -79,9 +72,6 @@ def perform(self, node, inputs, outputs):
             "`TransformedRV` `Op`s should be removed from graphs used for computation."
         )
 
-    def connection_pattern(self, node):
-        return [[True] for _ in node.outputs]
-
     def infer_shape(self, fgraph, node, input_shapes):
         return input_shapes