[fx][subgraph_rewriter] Change match_filter to be a List in replace_p…

…attern_with_filters (pytorch#87257)

Summary:
att, this is experimental api so not marking it as bc-breaking.
The match will be accepted only if all the filters in the list passes.
Changing the filter arg to be list also allows us to pass in empty list that means no filter, which makes user code cleaner.

Test Plan:
python test/test_fx.py -k test_replace_pattern_with_filters

Reviewers:

Subscribers:

Tasks:

Tags:
Pull Request resolved: pytorch#87257
Approved by: https://github.com/SherlockNoMad

test/fx/test_subgraph_rewriter.py

@@ -773,7 +773,7 @@ def gemm_bias_mul_replacement_with_c(a, b, bias, c):
 
         self.assertEqual(repalcement_node_found, 2)
 
-    def test_replace_pattern_with_filter(self):
+    def test_replace_pattern_with_filters(self):
         class M(torch.nn.Module):
             def __init__(self):
                 super().__init__()
@@ -833,10 +833,10 @@ def num_repalcement_node_found(traced):
 
         # match with filter, should find 1 match
         traced = symbolic_trace(M())
-        matches = subgraph_rewriter.replace_pattern_with_filter(
+        matches = subgraph_rewriter.replace_pattern_with_filters(
             traced,
             BinaryOpScalarReLUPattern,
             BinaryOpScalarReLUReplacement,
-            second_input_is_scalar)
+            [second_input_is_scalar])
         self.assertEqual(len(matches), 1)
         self.assertEqual(num_repalcement_node_found(traced), 1)

torch/fx/subgraph_rewriter.py

@@ -8,7 +8,7 @@
 from typing import Callable, Dict, List, NamedTuple, Optional, Set
 import torch
 
-__all__ = ['Match', 'replace_pattern', 'replace_pattern_with_filter']
+__all__ = ['Match', 'replace_pattern', 'replace_pattern_with_filters']
 
 @compatibility(is_backward_compatible=True)
 class Match(NamedTuple):
@@ -185,11 +185,11 @@ def forward(self, x, w1, w2):
 
 # Experimental API, not backward compatible
 @compatibility(is_backward_compatible=False)
-def replace_pattern_with_filter(
+def replace_pattern_with_filters(
     gm: GraphModule,
     pattern: Callable,
     replacement: Callable,
-    match_filter: Callable[["InternalMatch", Graph, Graph], bool],  # type: ignore[name-defined]
+    match_filters: List[Callable[["InternalMatch", Graph, Graph], bool]],  # type: ignore[name-defined]
 ) -> List[Match]:
     """
     See replace_pattern for documentation. This function is an overload with an additional match_filter argument.
@@ -200,18 +200,21 @@ def replace_pattern_with_filter(
             definition of InternalMatch.
     """
 
-    return _replace_pattern(gm, pattern, replacement, match_filter)
+    return _replace_pattern(gm, pattern, replacement, match_filters)
 
 
 def _replace_pattern(
     gm: GraphModule,
     pattern: Callable,
     replacement: Callable,
-    match_filter: Optional[Callable[["InternalMatch", Graph, Graph], bool]] = None  # type: ignore[name-defined]
+    match_filters: List[Callable[["InternalMatch", Graph, Graph], bool]] = None  # type: ignore[name-defined]
 ) -> List[Match]:
 
     from torch.fx.passes.utils.matcher_utils import SubgraphMatcher, InternalMatch
 
+    if match_filters is None:
+        match_filters = []
+
     # Get the graphs for `gm`, `pattern`, `replacement`
     original_graph: Graph = gm.graph
     pattern_graph: Graph = symbolic_trace(pattern).graph
@@ -222,8 +225,11 @@ def _replace_pattern(
     _matches: List[InternalMatch] = matcher.match(original_graph)
 
     # Filter out matches that don't match the filter
-    if match_filter:
-        _matches = [m for m in _matches if match_filter(m, original_graph, pattern_graph)]
+    _matches = [
+        m for m in _matches
+        if all(match_filter(m, original_graph, pattern_graph)
+               for match_filter in match_filters)
+    ]
 
     replacement_placeholders = [n for n in replacement_graph.nodes if n.op == "placeholder"]