Replace str "output" by a dummy Op in the clients of the FunctionGraph

Author: ricardoV94

pytensor/compile/debugmode.py

@@ -30,6 +30,7 @@
 from pytensor.graph.basic import Variable, io_toposort
 from pytensor.graph.destroyhandler import DestroyHandler
 from pytensor.graph.features import AlreadyThere, BadOptimization
+from pytensor.graph.fg import Output
 from pytensor.graph.op import HasInnerGraph, Op
 from pytensor.graph.utils import InconsistencyError, MethodNotDefined
 from pytensor.link.basic import Container, LocalLinker
@@ -628,7 +629,9 @@ def _is_used_in_graph(fgraph, var):
         True if `var` is used by another node in the graph.
 
     """
-    return not (fgraph.clients[var] == [("output", 1)] or fgraph.clients[var] == [])
+    return any(
+        client for client, _ in fgraph.clients[var] if not isinstance(client.op, Output)
+    )
 
 
 def _check_strides_match(a, b, warn_err, op):
@@ -978,7 +981,7 @@ def _check_preallocated_output(
     # disable memory checks in that mode, since they were already run.
     try:
         changed_inner_mode = False
-        if isinstance(getattr(node, "op", None), HasInnerGraph):
+        if isinstance(node.op, HasInnerGraph):
             fn = node.op.fn
             if not fn or not hasattr(fn, "maker") or not hasattr(fn.maker, "mode"):
                 _logger.warning(f"Expected pytensor function not found in {node.op}.fn")
@@ -1133,18 +1136,14 @@ class _FunctionGraphEvent:
 
     def __init__(self, kind, node, idx=None, reason=None):
         self.kind = kind
-        if node == "output":
-            self.node = "output"
-            self.op = "output"
-        else:
-            self.node = node
-            self.op = node.op
+        self.node = node
+        self.op = node.op
         self.idx = idx
         self.reason = str(reason)
 
     def __str__(self):
         if self.kind == "change":
-            if self.op != "output":
+            if not isinstance(self.op, Output):
                 msg = str(len(self.node.inputs))
             else:
                 msg = ""

pytensor/compile/function/types.py

@@ -77,8 +77,6 @@ def view_tree_set(fgraph, v, treeset):
     """
     treeset.add(v)
     for cl, v_input_pos_to_cl in fgraph.clients[v]:
-        if cl == "output":
-            continue
         vmap = cl.op.view_map
         dmap = cl.op.destroy_map
         for opos, iposlist in chain(vmap.items(), dmap.items()):
@@ -1199,8 +1197,11 @@ def insert_deepcopy(fgraph, wrapped_inputs, wrapped_outputs):
     has_destroyers_attr = hasattr(fgraph, "has_destroyers")
 
     for i in range(len(fgraph.outputs)):
+        original_out = fgraph.outputs[i]
+        output_client = fgraph.get_output_client(i)
+
         views_of_output_i = set()
-        view_tree_set(fgraph, alias_root(fgraph.outputs[i]), views_of_output_i)
+        view_tree_set(fgraph, alias_root(original_out), views_of_output_i)
         copied = False
         # do not allow outputs to be aliased
         for j in range(i + 1, len(fgraph.outputs)):
@@ -1209,16 +1210,16 @@ def insert_deepcopy(fgraph, wrapped_inputs, wrapped_outputs):
             if fgraph.outputs[j] in views_of_output_i:
                 if wrapped_outputs[i].borrow and wrapped_outputs[j].borrow:
                     fgraph.change_node_input(
-                        "output", i, view_op(fgraph.outputs[i]), reason=reason
+                        output_client, 0, view_op(original_out), reason=reason
                     )
                 else:
                     fgraph.change_node_input(
-                        "output", i, deep_copy_op(fgraph.outputs[i]), reason=reason
+                        output_client, 0, deep_copy_op(original_out), reason=reason
                     )
                 copied = True
                 break
 
-        if not copied:
+        if not copied:  # no-break
             for input_j in all_graph_inputs:
                 # do not allow outputs to be aliased to an inputs (j), unless
                 # a) that j'th input has been 'destroyed' by
@@ -1236,33 +1237,33 @@ def insert_deepcopy(fgraph, wrapped_inputs, wrapped_outputs):
                         j = fgraph.inputs.index(input_j)
                         if wrapped_outputs[i].borrow and wrapped_inputs[j].borrow:
                             fgraph.change_node_input(
-                                "output",
-                                i,
-                                view_op(fgraph.outputs[i]),
+                                output_client,
+                                0,
+                                view_op(original_out),
                                 reason=reason,
                             )
                             break
                         else:
                             fgraph.change_node_input(
-                                "output",
-                                i,
-                                deep_copy_op(fgraph.outputs[i]),
+                                output_client,
+                                0,
+                                deep_copy_op(original_out),
                                 reason=reason,
                             )
                             break
                     elif wrapped_outputs[i].borrow:
                         fgraph.change_node_input(
-                            "output",
-                            i,
-                            view_op(fgraph.outputs[i]),
+                            output_client,
+                            0,
+                            view_op(original_out),
                             reason=reason,
                         )
                         break
                     else:
                         fgraph.change_node_input(
-                            "output",
-                            i,
-                            deep_copy_op(fgraph.outputs[i]),
+                            output_client,
+                            0,
+                            deep_copy_op(original_out),
                             reason=reason,
                         )
                         break

pytensor/compile/profiling.py

@@ -16,20 +16,17 @@
 import time
 from collections import defaultdict
 from contextlib import contextmanager
-from typing import TYPE_CHECKING, Any, Union
+from typing import Any, Union
 
 import numpy as np
 
 import pytensor
 from pytensor.configdefaults import config
 from pytensor.graph.basic import Apply, Constant, Variable
+from pytensor.graph.fg import FunctionGraph, Output
 from pytensor.link.utils import get_destroy_dependencies
 
 
-if TYPE_CHECKING:
-    from pytensor.graph.fg import FunctionGraph
-
-
 @contextmanager
 def extended_open(filename, mode="r"):
     if filename == "<stdout>":
@@ -1055,7 +1052,7 @@ def count_minimum_peak(node_list, fgraph, nodes_mem):
             executable_nodes = set()
             for var in fgraph.inputs:
                 for c, _ in fgraph.clients[var]:
-                    if c != "output":
+                    if not isinstance(c.op, Output):
                         deps = c.inputs + destroy_dependencies[c]
                         if all(compute_map[v][0] for v in deps):
                             executable_nodes.add(c)
@@ -1183,7 +1180,7 @@ def min_memory_generator(executable_nodes, viewed_by, view_of):
 
                         for var in node.outputs:
                             for c, _ in fgraph.clients[var]:
-                                if c != "output":
+                                if not isinstance(c.op, Output):
                                     deps = c.inputs + destroy_dependencies[c]
                                     if all(compute_map[v][0] for v in deps):
                                         new_exec_nodes.add(c)

pytensor/graph/destroyhandler.py

@@ -11,6 +11,7 @@
 from pytensor.configdefaults import config
 from pytensor.graph.basic import Constant
 from pytensor.graph.features import AlreadyThere, Bookkeeper
+from pytensor.graph.fg import Output
 from pytensor.graph.utils import InconsistencyError
 from pytensor.misc.ordered_set import OrderedSet
 
@@ -401,8 +402,6 @@ def has_destroyers(protected_list):
             def recursive_destroys_finder(protected_var):
                 # protected_var is the idx'th input of app.
                 for app, idx in fgraph.clients[protected_var]:
-                    if app == "output":
-                        continue
                     destroy_maps = app.op.destroy_map.values()
                     # If True means that the apply node, destroys the protected_var.
                     if idx in [dmap for sublist in destroy_maps for dmap in sublist]:
@@ -578,7 +577,7 @@ def on_change_input(self, fgraph, app, i, old_r, new_r, reason):
         app.inputs[i] changed from old_r to new_r.
 
         """
-        if app == "output":
+        if isinstance(app.op, Output):
             # app == 'output' is special key that means FunctionGraph is redefining which nodes are being
             # considered 'outputs' of the graph.
             pass