Mark tf.compat.v1.lite.experimental.get_potentially_supported_ops deprecated.

PiperOrigin-RevId: 360891012
Change-Id: I3e6ef6b2fa5d98e2a6828bde4af03e2e5225e605

RELEASE.md

@@ -108,8 +108,11 @@
        ML authoring is generally discouraged.
     *  Add support for static hash tables through
          `TFLiteConverter.from_saved_model`.
-	  *  Quantized x86 execution defaults to Ruy GEMM library for platforms with
-	     AVX support.
+    *  Quantized x86 execution defaults to Ruy GEMM library for platforms with
+       AVX support.
+    *  Deprecate `tf.compat.v1.lite.experimental.get_potentially_supported_ops`.
+       Use `tf.lite.TFLiteConverter` directly to check whether a model is
+       convertible.
 
 *   TF Core:
     *   Corrected higher-order gradients of control flow constructs (`tf.cond`,

tensorflow/lite/experimental/tensorboard/BUILD

@@ -13,6 +13,7 @@ py_library(
     deps = [
         "//tensorflow/lite/python:wrap_toco",
         "//tensorflow/python:util",
+        "//tensorflow/python/util:tf_export",
     ],
 )
 

tensorflow/lite/experimental/tensorboard/ops_util.py

@@ -20,6 +20,7 @@ from __future__ import print_function
 import collections
 
 from tensorflow.lite.python import wrap_toco
+from tensorflow.python.util import deprecation
 from tensorflow.python.util.tf_export import tf_export
 
 
@@ -32,6 +33,11 @@ class SupportedOp(collections.namedtuple("SupportedOp", ["op"])):
 
 
 @tf_export(v1=["lite.experimental.get_potentially_supported_ops"])
+@deprecation.deprecated(
+    None, "Deprecated in TF 2.4 and targeted to remove after TF 2.5. This"
+    "experimental function in TF v1 is to get a list of op names without real "
+    "conversion. To check whether a model can be convertable or not indeed, "
+    "please run `tf.lite.TFLiteConverter`.")
 def get_potentially_supported_ops():
   """Returns operations potentially supported by TensorFlow Lite.