Remove useless ALL_REDUCE list

pytensor/tensor/rewriting/math.py

@@ -42,13 +42,8 @@ from pytensor.tensor.elemwise import CAReduce, DimShuffle, Elemwise
 from pytensor.tensor.exceptions import NotScalarConstantError
 from pytensor.tensor.extra_ops import broadcast_arrays
 from pytensor.tensor.math import (
-    All,
-    Any,
     Dot,
-    FixedOpCAReduce,
-    NonZeroDimsCAReduce,
     Prod,
-    ProdWithoutZeros,
     Sum,
     _conj,
     add,
@@ -1618,22 +1613,9 @@ def local_op_of_op(fgraph, node):
             return [combined(node_inps.owner.inputs[0])]
 
 
-ALL_REDUCE = [
-    CAReduce,
-    All,
-    Any,
-    Sum,
-    Prod,
-    ProdWithoutZeros,
-    *CAReduce.__subclasses__(),
-    *FixedOpCAReduce.__subclasses__(),
-    *NonZeroDimsCAReduce.__subclasses__(),
-]
-
-
 @register_canonicalize
 @register_uncanonicalize  # Needed for MaxAndArgmax -> CAReduce
-@node_rewriter(ALL_REDUCE)
+@node_rewriter([CAReduce])
 def local_reduce_join(fgraph, node):
     """
     CAReduce{scalar.op}(Join(axis=0, a, b), axis=0) -> Elemwise{scalar.op}(a, b)
@@ -1703,7 +1685,7 @@ def local_reduce_join(fgraph, node):
 @register_infer_shape
 @register_canonicalize("fast_compile", "local_cut_useless_reduce")
 @register_useless("local_cut_useless_reduce")
-@node_rewriter(ALL_REDUCE)
+@node_rewriter([CAReduce])
 def local_useless_reduce(fgraph, node):
     """Sum(a, axis=[]) -> a"""
     (summed,) = node.inputs
@@ -1715,7 +1697,7 @@ def local_useless_reduce(fgraph, node):
 @register_canonicalize
 @register_uncanonicalize
 @register_specialize
-@node_rewriter(ALL_REDUCE)
+@node_rewriter([CAReduce])
 def local_reduce_broadcastable(fgraph, node):
     """Remove reduction over broadcastable dimensions."""
     (reduced,) = node.inputs