Add torch 2.9 in regression tests

.github/workflows/regression_test.yml

@@ -67,7 +67,7 @@ jobs:
             dev-requirements-overrides: ""
           - name: CUDA 2.7
             runs-on: linux.g5.12xlarge.nvidia.gpu
-            torch-spec: 'torch==2.7.0'
+            torch-spec: 'torch==2.7.1'
             gpu-arch-type: "cuda"
             gpu-arch-version: "12.6"
             dev-requirements-overrides: ""
@@ -77,6 +77,12 @@ jobs:
             gpu-arch-type: "cuda"
             gpu-arch-version: "12.6"
             dev-requirements-overrides: ""
+          - name: CUDA 2.9
+            runs-on: linux.g5.12xlarge.nvidia.gpu
+            torch-spec: 'torch==2.9.1'
+            gpu-arch-type: "cuda"
+            gpu-arch-version: "12.6"
+            dev-requirements-overrides: ""
 
           - name: CPU 2.6
             runs-on: linux.4xlarge
@@ -86,7 +92,7 @@ jobs:
             dev-requirements-overrides: ""
           - name: CPU 2.7
             runs-on: linux.4xlarge
-            torch-spec: 'torch==2.7.0 --index-url https://download.pytorch.org/whl/cpu'
+            torch-spec: 'torch==2.7.1 --index-url https://download.pytorch.org/whl/cpu'
             gpu-arch-type: "cpu"
             gpu-arch-version: ""
             dev-requirements-overrides: ""
@@ -96,6 +102,12 @@ jobs:
             gpu-arch-type: "cpu"
             gpu-arch-version: ""
             dev-requirements-overrides: ""
+          - name: CPU 2.9
+            runs-on: linux.4xlarge
+            torch-spec: 'torch==2.9.1 --index-url https://download.pytorch.org/whl/cpu'
+            gpu-arch-type: "cpu"
+            gpu-arch-version: ""
+            dev-requirements-overrides: ""
 
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
     with:

torchao/quantization/pt2e/utils.py

@@ -859,6 +859,16 @@ def _get_aten_graph_module_for_pattern(
         ):
             aten_pattern.graph.erase_node(node)  # type: ignore[operator, union-attr]
 
+    if torch.__version__.startswith("2.9"):
+        # PyTorch 2.9 adds _guards_fn nodes to exported graphs.
+        # These have errors only on torch 2.9.0 and 2.9.1
+        for node in list(aten_pattern.graph.nodes):  # type: ignore[union-attr]
+            if node.op == "call_module" and node.name == "_guards_fn":
+                aten_pattern.graph.erase_node(node)  # type: ignore[operator, union-attr]
+                # Also remove the _guards_fn module from the graph module if it exists
+                if hasattr(aten_pattern, "_guards_fn"):
+                    delattr(aten_pattern, "_guards_fn")
+
     aten_pattern.graph.eliminate_dead_code()  # type: ignore[operator, union-attr]
     aten_pattern.recompile()  # type: ignore[operator]