[ET] promote to_edge_transform_and_lower to public API

backends/vulkan/test/TARGETS

@@ -18,7 +18,6 @@ python_unittest(
         "//executorch/backends/vulkan:vulkan_preprocess",
         "//executorch/backends/vulkan/partitioner:vulkan_partitioner",
         "//executorch/exir:lib",
-        "//executorch/exir/program:program",
         "//executorch/extension/pybindings:portable_lib",  # @manual
         "//executorch/extension/pytree:pylib",
         "//executorch/kernels/portable:custom_ops_generated_lib",

backends/vulkan/test/test_vulkan_delegate.py

@@ -25,7 +25,7 @@
 ctypes.CDLL("libvulkan.so.1")
 
 
-from executorch.exir.program._program import _to_edge_transform_and_lower
+from executorch.exir import to_edge_transform_and_lower
 from executorch.extension.pybindings.portable_lib import (  # @manual
     _load_for_executorch_from_buffer,
 )
@@ -120,7 +120,7 @@ def run_test(memory_layout):
                 model, sample_inputs, dynamic_shapes=dynamic_shapes
             )
 
-            edge_program = _to_edge_transform_and_lower(
+            edge_program = to_edge_transform_and_lower(
                 program,
                 transform_passes=[
                     I64toI32(self._edge_compile_config._skip_dim_order),

backends/xnnpack/test/tester/tester.py

@@ -23,12 +23,12 @@
     ExecutorchBackendConfig,
     ExecutorchProgramManager,
     to_edge,
+    to_edge_transform_and_lower,
 )
 from executorch.exir.backend.backend_api import validation_disabled
 from executorch.exir.backend.partitioner import Partitioner
 from executorch.exir.passes.sym_shape_eval_pass import ConstraintBasedSymShapeEvalPass
 from executorch.exir.print_program import pretty_print, print_program
-from executorch.exir.program._program import _to_edge_transform_and_lower
 
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.INFO)
@@ -300,7 +300,7 @@ def __init__(
 
     def run(self, artifact: ExportedProgram, inputs=None) -> None:
         artifact_to_run = copy.deepcopy(artifact)
-        self.edge_dialect_program = _to_edge_transform_and_lower(
+        self.edge_dialect_program = to_edge_transform_and_lower(
             artifact_to_run,
             compile_config=self.edge_compile_conf,
             partitioner=self.partitioners,

examples/models/llava/export_llava.py

@@ -25,8 +25,7 @@
     replace_sdpa_with_custom_op,
 )
 from executorch.examples.models.llava.model import LlavaModel
-from executorch.exir import EdgeCompileConfig
-from executorch.exir.program._program import _to_edge_transform_and_lower
+from executorch.exir import EdgeCompileConfig, to_edge_transform_and_lower
 
 from executorch.extension.llm.export.builder import DType, LLMEdgeManager
 from torch.ao.quantization.quantizer.xnnpack_quantizer import (
@@ -182,7 +181,7 @@ def export_all(llava_model: LlavaModel):
 
     token_embedding_ep = export_token_embedding(llava, prompt_before_image)
 
-    lowered_and_edge = _to_edge_transform_and_lower(
+    lowered_and_edge = to_edge_transform_and_lower(
         {
             "image_encoder": image_encoder_ep,
             "token_embedding": token_embedding_ep,

exir/__init__.py

@@ -23,6 +23,7 @@
     ExecutorchProgramManager,
     ExirExportedProgram,
     to_edge,
+    to_edge_transform_and_lower,
 )
 from executorch.exir.serde.serialize import load, save
 from executorch.exir.tracer import ExirDynamoConfig
@@ -42,6 +43,7 @@
     "ExportGraphSignature",
     "_to_edge",
     "to_edge",
+    "to_edge_transform_and_lower",
     "EdgeProgramManager",
     "ExecutorchProgramManager",
     "edge_to_executorch_passes",

exir/program/__init__.py

@@ -9,21 +9,21 @@
 from executorch.exir.program._fake_program import get_fake_program
 from executorch.exir.program._program import (
     _to_edge,
-    _to_edge_transform_and_lower,
     edge_to_executorch_passes,
     EdgeProgramManager,
     ExecutorchProgram,
     ExecutorchProgramManager,
     ExirExportedProgram,
     to_edge,
+    to_edge_transform_and_lower,
 )
 
 __all__ = [
     "ExirExportedProgram",
     "ExecutorchProgram",
     "_to_edge",
     "to_edge",
-    "_to_edge_transform_and_lower",
+    "to_edge_transform_and_lower",
     "edge_to_executorch_passes",
     "EdgeProgramManager",
     "ExecutorchProgramManager",

exir/program/_program.py

@@ -926,7 +926,7 @@ def _gen_edge_manager_for_partitioners(
     return edge_manager
 
 
-def _to_edge_transform_and_lower(
+def to_edge_transform_and_lower(
     programs: Union[ExportedProgram, Dict[str, ExportedProgram]],
     transform_passes: Optional[
         Union[Sequence[PassType], Dict[str, Sequence[PassType]]]

exir/program/test/test_program.py

@@ -22,10 +22,10 @@
 from executorch.exir.pass_base import ExportPass
 from executorch.exir.passes import MemoryPlanningPass
 from executorch.exir.program._program import (
-    _to_edge_transform_and_lower,
     EdgeProgramManager,
     ExecutorchProgramManager,
     to_edge,
+    to_edge_transform_and_lower,
 )
 from executorch.exir.tracer import _default_decomposition_table
 from executorch.exir.verification.verifier import EXIREdgeDialectVerifier
@@ -587,7 +587,7 @@ def get_num_nondecomposed_ops(self, ep, partitioner):
 
     def _test_model_with_non_decomp_partitioner(self, model: torch.nn.Module):
         # This is the pre-dispatch export that we will be switching to primarily
-        # in the near future. The input to _to_edge_transform_and_lower needs to
+        # in the near future. The input to to_edge_transform_and_lower needs to
         # be a graph generated by this pre dispatch export.
         ep = _export(model, model._get_random_inputs(), pre_dispatch=True)
         non_decomp_partitioner = NonDecompTestPartitioner()
@@ -597,7 +597,7 @@ def _test_model_with_non_decomp_partitioner(self, model: torch.nn.Module):
         )
 
         # run to_edge_trasnform_and_lower
-        edge = _to_edge_transform_and_lower(
+        edge = to_edge_transform_and_lower(
             ep,
             compile_config=EdgeCompileConfig(),
             partitioner=[NonDecompTestPartitioner()],
@@ -652,7 +652,7 @@ def _get_random_inputs(cls):
 
         model = TestLinear()
         ep = _export(model, model._get_random_inputs(), pre_dispatch=True)
-        edge = _to_edge_transform_and_lower(
+        edge = to_edge_transform_and_lower(
             ep,
             compile_config=EdgeCompileConfig(),
             partitioner=[NonDecompTestPartitioner()],