import test graph builder to oss, import im2row

Differential Revision: D65913991

Pull Request resolved: #6878

Author: zonglinpeng

backends/cadence/aot/TARGETS

@@ -162,3 +162,20 @@ python_library(
         "//executorch/exir/passes:spec_prop_pass",
     ],
 )
+
+python_unittest(
+    name = "test_graph_builder",
+    srcs = [
+        "tests/test_graph_builder.py",
+    ],
+    typing = True,
+    deps = [
+        "//caffe2:torch",
+        "//executorch/backends/cadence/aot:graph_builder",
+        "//executorch/backends/cadence/aot:pass_utils",
+        "//executorch/exir:pass_base",
+        "//executorch/exir/dialects:lib",
+        "//later:lib",
+        ":ops_registrations"
+    ],
+)

backends/cadence/aot/pass_utils.py

@@ -89,3 +89,12 @@ def get_node_names_list_from_gm(
             continue
         graph_nodes.append(node.name)
     return graph_nodes
+
+
+def count_node(graph_module: torch.fx.GraphModule, target: torch.fx.node.Target) -> int:
+    """Count the number of nodes with target `target` in the graph."""
+    total = 0
+    for node in graph_module.graph.nodes:
+        if node.op == "call_function" and node.target == target:
+            total += 1
+    return total

backends/cadence/aot/tests/test_graph_builder.py

@@ -0,0 +1,70 @@
+# (c) Meta Platforms, Inc. and affiliates. Confidential and proprietary.
+
+
+import executorch.backends.cadence.aot.ops_registrations  # noqa
+import torch
+from executorch.backends.cadence.aot.graph_builder import (
+    GraphBuilder,
+    single_op_builder,
+)
+from executorch.backends.cadence.aot.pass_utils import count_node
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass
+from later.unittest import TestCase
+
+
+class TestGraphBuilder(TestCase):
+    def test_graph_with_single_im2row(self) -> None:
+        # Create a graph with a single im2row node.
+        builder = GraphBuilder()
+        x = builder.placeholder("x", torch.randn(1, 3, 224, 224))
+        pad_value = builder.placeholder("pad", torch.randn(1))
+        channels_last = False
+        im2row = builder.call_operator(
+            exir_ops.edge.cadence.im2row.default,
+            # pyre-ignore
+            (
+                x,
+                (2, 2),
+                (1, 1),
+                (0, 0),
+                (1, 1),
+                pad_value,
+                channels_last,
+            ),
+        )
+        builder.output([im2row])
+        gm = builder.get_graph_module()
+        # Check if graph module is valid by running exportpass on it.
+        gm = ExportPass().call(gm).graph_module
+
+        # Check graph has a single im2row node.
+        self.assertEqual(len([gm.graph.nodes]), 1)
+        self.assertEqual(count_node(gm, exir_ops.edge.cadence.im2row.default), 1)
+
+
+class TestSingleOpBuilderUtility(TestCase):
+    def test_graph_with_single_im2row(self) -> None:
+        # Create a graph with a single im2row node.
+        x = torch.randn(1, 3, 224, 224)
+        pad_value = torch.randn(1)
+        channels_last = False
+        gm = single_op_builder(
+            (x, pad_value),
+            exir_ops.edge.cadence.im2row.default,
+            (
+                x,
+                (2, 2),
+                (1, 1),
+                (0, 0),
+                (1, 1),
+                pad_value,
+                channels_last,
+            ),
+        )
+        # Check if graph module is valid by running exportpass on it.
+        gm = ExportPass().call(gm).graph_module
+
+        # Check graph has a single im2row node.
+        self.assertEqual(len([gm.graph.nodes]), 1)
+        self.assertEqual(count_node(gm, exir_ops.edge.cadence.im2row.default), 1)