Move vulkan.passes to vulkan._passes (#5919)

Summary:
Changing vulkan.passes to vulkan._passes to indicate that these passes are not covered under the API stability guarantee.

Pull Request resolved: #5919

Reviewed By: helunwencser

Differential Revision: D63926849

fbshipit-source-id: bf135c46c6718bc37afa640cf51d004891516575
(cherry picked from commit e1832ef)

Author: tarun292

backends/transforms/fuse_conv_with_clamp.py

@@ -7,7 +7,9 @@
 import sys
 
 import torch
-from executorch.backends.vulkan.passes.custom_ops_defs import conv_with_clamp_op  # noqa
+from executorch.backends.vulkan._passes.custom_ops_defs import (  # noqa
+    conv_with_clamp_op,
+)
 
 from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.pass_base import ExportPass, PassResult

backends/vulkan/TARGETS

@@ -28,6 +28,7 @@ runtime.python_library(
         "//executorch/backends/transforms:fuse_view_copy",
         "//executorch/backends/transforms:mean_to_sum_div",
         "//executorch/backends/transforms:remove_clone_ops",
+        "//executorch/backends/vulkan/_passes:remove_local_scalar_dense",
         "//executorch/exir:graph_module",
         "//executorch/exir/_serialize:_bindings",
         "//executorch/exir/_serialize:lib",

backends/vulkan/passes/TARGETS renamed to backends/vulkan/_passes/TARGETS

@@ -0,0 +1,44 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# pyre-strict
+
+import torch
+from executorch.exir.dialects._ops import ops as exir_ops
+from executorch.exir.pass_base import ExportPass, PassResult
+
+
+def remove_local_scalar_dense_ops(graph: torch.fx.Graph) -> torch.fx.Graph:
+    """
+    Remove local_scalar_dense op nodes and replace uses with parent node, or the
+    original scalar tensor.
+    """
+    target_op = torch.ops.aten._local_scalar_dense.default
+    for node in graph.nodes:
+        if node.op == "call_function" and node.target == target_op:
+            replace_node = node.args[0]
+            # If the argument to the local_scalar_dense op is a select op with only
+            # one user, and the argument to the select op is a tensor with only one
+            # element (i.e. a scalar tensor), then replace the entire pattern with the
+            # scalar tensor.
+            if (
+                replace_node.op == "call_function"
+                and replace_node.target == exir_ops.edge.aten.select_copy.int
+            ):
+                if replace_node.args[0].meta["val"].numel() == 1:
+                    replace_node = replace_node.args[0]
+
+            with graph.inserting_after(node):
+                node.replace_all_uses_with(replace_node)
+
+    graph.eliminate_dead_code()
+    return graph
+
+
+class RemoveLocalScalarDenseOpsTransform(ExportPass):
+    def call(self, graph_module: torch.fx.GraphModule) -> PassResult:
+        graph_module.graph = remove_local_scalar_dense_ops(graph_module.graph)
+        return PassResult(graph_module, True)

backends/vulkan/passes/custom_ops_defs.py renamed to backends/vulkan/_passes/custom_ops_defs.py

@@ -8,7 +8,7 @@
 
 import operator
 
-from executorch.backends.vulkan.passes.custom_ops_defs import (  # noqa
+from executorch.backends.vulkan._passes.custom_ops_defs import (  # noqa
     conv_with_clamp_op,
     grid_priors_op,
 )