Rename convert_pt2

Differential Revision: D73440519

Pull Request resolved: #10378

Author: mcremon-meta

backends/cadence/aot/compiler.py

@@ -47,12 +47,7 @@
 from .utils import print_ops_info
 
 
-# Note: this is not meant as a primary API since it can create inconsistencies
-# if the quantizer here is different from the quantizer used to convert. It is
-# however useful for unit tests to separate the converted model from the fused
-# model, to be able to get reference numerics.
-# If this does not apply, please use quantize_and_fuse_pt2 instead.
-def convert_pt2(
+def prepare_and_convert_pt2(
     model: torch.nn.Module,
     inputs: tuple[object, ...],
     quantizer: CadenceQuantizer,
@@ -150,7 +145,7 @@ def quantize_pt2(
     dump_graphs: bool = False,
 ) -> torch.fx.GraphModule:
     """
-    Prepare, convert and fuse the model using the given quantizer.
+    Trace, prepare, convert and fuse the model using the given quantizer.
     If calibration data is provided, it will be used to calibrate the model. If
     not, the inputs will be used for calibration instead, which is useful for
     unit tests but should not be used for end-to-end use cases.
@@ -164,7 +159,7 @@ def quantize_pt2(
         quantizer = CadenceDefaultQuantizer()
 
     # Get converted graph module
-    converted_gm = convert_pt2(
+    converted_gm = prepare_and_convert_pt2(
         model, inputs, quantizer, calibration_data, dump_graphs=dump_graphs
     )
 

backends/cadence/aot/export_example.py

@@ -15,9 +15,9 @@
 from typing import Any, Tuple
 
 from executorch.backends.cadence.aot.compiler import (
-    convert_pt2,
     export_to_executorch_gen_etrecord,
     fuse_pt2,
+    prepare_and_convert_pt2,
 )
 
 from executorch.backends.cadence.aot.quantizer.quantizer import CadenceDefaultQuantizer
@@ -49,13 +49,13 @@ def export_model(
     quantizer = CadenceDefaultQuantizer()
 
     # Convert the model
-    converted_model = convert_pt2(model, example_inputs, quantizer)
+    converted_model = prepare_and_convert_pt2(model, example_inputs, quantizer)
 
     # Get reference outputs from converted model
     ref_outputs = converted_model(*example_inputs)
 
     # Quantize the model (note: quantizer needs to be the same as
-    # the one used in convert_pt2)
+    # the one used in prepare_and_convert_pt2)
     quantized_model = fuse_pt2(converted_model, quantizer)
 
     # Get edge program after Cadence specific passes