Make input mismatch TypeError in make_node more readable

aesara/graph/op.py

@@ -225,7 +225,15 @@ def make_node(self, *inputs: Variable) -> Apply:
             )
         if not all(inp.type == it for inp, it in zip(inputs, self.itypes)):
             raise TypeError(
-                f"We expected inputs of types '{str(self.itypes)}' but got types '{str([inp.type for inp in inputs])}'"
+                f"Invalid input types for Op {self}:\n"
+                + "\n".join(
+                    f"Input {i}/{len(inputs)}: Expected {inp}, got {out}"
+                    for i, (inp, out) in enumerate(
+                        zip(self.itypes, (inp.type for inp in inputs)),
+                        start=1,
+                    )
+                    if inp != out
+                )
             )
         return Apply(self, inputs, [o() for o in self.otypes])
 

tests/graph/test_op.py

@@ -12,7 +12,7 @@
 from aesara.graph.type import Generic, Type
 from aesara.graph.utils import MethodNotDefined, TestValueError
 from aesara.tensor.math import log
-from aesara.tensor.type import dmatrix, vector
+from aesara.tensor.type import dmatrix, dscalar, dvector, vector
 
 
 def as_variable(x):
@@ -340,3 +340,16 @@ def test_get_test_values_exc():
     with pytest.raises(TestValueError):
         x = vector()
         assert op.get_test_values(x) == []
+
+
+def test_op_invalid_input_types():
+    class TestOp(aesara.graph.op.Op):
+        itypes = [dvector, dvector, dvector]
+        otypes = [dvector]
+
+        def perform(self, node, inputs, outputs):
+            pass
+
+    msg = r"^Invalid input types for Op TestOp:\nInput 2/3: Expected TensorType\(float64, vector\)"
+    with pytest.raises(TypeError, match=msg):
+        TestOp()(dvector(), dscalar(), dvector())