[lite] Deprecate _custom_opdefs field in TfLiteConverter.

It is unused. Also, clean up references and mark field deprecated in the proto file.

PiperOrigin-RevId: 358274276
Change-Id: I1ba5990597230c8bd546f8894e5a67b2fc0ec305

tensorflow/lite/python/convert.py

@@ -314,7 +314,6 @@ def build_toco_flags(inference_type=dtypes.float32,
                      drop_control_dependency=True,
                      reorder_across_fake_quant=False,
                      allow_custom_ops=False,
-                     custom_opdefs=None,
                      post_training_quantize=False,
                      quantize_to_float16=False,
                      dump_graphviz_dir=None,
@@ -337,8 +336,6 @@ def build_toco_flags(inference_type=dtypes.float32,
   toco.drop_control_dependency = drop_control_dependency
   toco.reorder_across_fake_quant = reorder_across_fake_quant
   toco.allow_custom_ops = allow_custom_ops
-  if custom_opdefs:
-    toco.custom_opdefs.extend(custom_opdefs)
   if select_user_tf_ops:
     toco.select_user_tf_ops.extend(select_user_tf_ops)
   toco.post_training_quantize = post_training_quantize
@@ -372,7 +369,6 @@ def build_toco_convert_protos(input_tensors,
                               drop_control_dependency=True,
                               reorder_across_fake_quant=False,
                               allow_custom_ops=False,
-                              custom_opdefs=None,
                               change_concat_input_ranges=False,
                               post_training_quantize=False,
                               quantize_to_float16=False,
@@ -428,9 +424,6 @@ def build_toco_convert_protos(input_tensors,
       created for any op that is unknown. The developer will need to provide
       these to the TensorFlow Lite runtime with a custom resolver. (default
       False)
-    custom_opdefs: List of strings representing custom ops OpDefs that are
-      included in the GraphDef. Required when using custom operations with the
-      MLIR-based converter. (default None)
     change_concat_input_ranges: Boolean to change behavior of min/max ranges for
       inputs and outputs of the concat operator for quantized models. Changes
       the ranges of concat operator overlap when true. (default False)
@@ -482,7 +475,7 @@ def build_toco_convert_protos(input_tensors,
   toco = build_toco_flags(inference_type, inference_input_type, input_format,
                           output_format, default_ranges_stats,
                           drop_control_dependency, reorder_across_fake_quant,
-                          allow_custom_ops, custom_opdefs,
+                          allow_custom_ops,
                           post_training_quantize, quantize_to_float16,
                           dump_graphviz_dir, dump_graphviz_video, target_ops,
                           conversion_summary_dir, select_user_tf_ops)

tensorflow/lite/python/lite.py

@@ -1202,7 +1202,6 @@ class TFLiteConverterBaseV1(TFLiteConverterBase):
     self.dump_graphviz_video = False
     self.conversion_summary_dir = None
     self._debug_info_func = experimental_debug_info_func
-    self._custom_opdefs = None
 
   def __setattr__(self, name, value):
     if name == "post_training_quantize":
@@ -1339,7 +1338,6 @@ class TFLiteConverterBaseV1(TFLiteConverterBase):
         "dump_graphviz_dir": self.dump_graphviz_dir,
         "dump_graphviz_video": self.dump_graphviz_video,
         "conversion_summary_dir": self.conversion_summary_dir,
-        "custom_opdefs": self._custom_opdefs,
     })
 
     if not self.experimental_new_converter:

tensorflow/lite/toco/toco_flags.proto

@@ -225,7 +225,8 @@ message TocoFlags {
 
   // String representing the custom ops OpDefs that are included in the
   // GraphDef.
-  repeated string custom_opdefs = 32;
+  // Deprecated do not use.
+  repeated string custom_opdefs = 32 [deprecated = true];
 
   // Name of user's defined Tensorflow ops required in the TensorFlow Lite
   // runtime. These ops will be supported as select TensorFlow ops.