Rename config tsl_link_protobuf to tsl_protobuf_header_only

This changes the default value to the original intent: exposing headers only
is a "hack" in the build graph and should be an "opt-in". Tensorflow does that
when building its shared library, but that shouldn't be the majority of the
clients (hopefully).
This also aligns with the default value for enabling the shared library mode
in tensorflow: it's off by default (even though TensorFlow changes the
default in its bazelrc!)

PiperOrigin-RevId: 481050893

.bazelrc

@@ -98,7 +98,7 @@
 # nothing in a bazelrc will default to a monolithic build. The following line
 # opts in to modular op registration support by default.
 build --define framework_shared_object=true
-build --define tsl_link_protobuf=false
+build --define tsl_protobuf_header_only=true
 
 build --define=use_fast_cpp_protos=true
 build --define=allow_oversize_protos=true
@@ -210,7 +210,7 @@ build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64
 # By default, TensorFlow will build with a dependence on
 # //tensorflow:libtensorflow_framework.so.
 build:monolithic --define framework_shared_object=false
-build:monolithic --define tsl_link_protobuf=true
+build:monolithic --define tsl_protobuf_header_only=false
 build:monolithic --experimental_link_static_libraries_once=false  # b/229868128
 
 # Please note that MKL on MacOS or windows is still not supported.

tensorflow/tsl/BUILD

@@ -48,8 +48,8 @@ config_setting(
 
 # This should be removed after Tensorflow moves to cc_shared_library
 config_setting(
-    name = "tsl_link_protobuf",
-    define_values = {"tsl_link_protobuf": "true"},
+    name = "tsl_protobuf_header_only",
+    define_values = {"tsl_protobuf_header_only": "true"},
     visibility = ["//visibility:public"],
 )
 

tensorflow/tsl/platform/default/build_config.bzl

@@ -807,7 +807,7 @@ def tf_protobuf_deps():
 def tsl_protobuf_deps():
     return if_tsl_link_protobuf([clean_dep("@com_google_protobuf//:protobuf")], [clean_dep("@com_google_protobuf//:protobuf_headers")])
 
-# When tsl_link_protobuf is false, we need to add the protobuf library
+# When tsl_protobuf_header_only is true, we need to add the protobuf library
 # back into our binaries explicitly.
 def tsl_cc_test(
         name,

tensorflow/tsl/tsl.bzl

@@ -57,8 +57,8 @@ def if_google(google_value, oss_value = []):
 
 def if_tsl_link_protobuf(if_true, if_false = []):
     return select({
-        clean_dep("//tensorflow/tsl:tsl_link_protobuf"): if_true,
-        "//conditions:default": if_false,
+        "//conditions:default": if_true,
+        clean_dep("//tensorflow/tsl:tsl_protobuf_header_only"): if_false,
     })
 
 def if_libtpu(if_true, if_false = []):