If you are experiencing or witnessing conflict, we ask you to use the following escalation strategy to address the conflict:

1.  Address the perceived conflict directly with those involved, preferably in a
    real-time medium.

    configs.toggle_config[#optimizer] = RewriterConfig::ON;

void CGraphOptimizerRegister(
    const PluginGraphOptimizerRegistry::Creator& creator,
    const TP_OptimizerConfigs tp_configs, const char* device_type) {
  ConfigList configs;
  // disable_model_pruning is turned off by default.
  if (tp_configs.disable_model_pruning == TF_TriState_On)
    configs.disable_model_pruning = true;
  else
    configs.disable_model_pruning = false;

        const string& name = pair.first;
        if ((name == prefix) || absl::StartsWith(name, prefix_cmp)) {
          status->status = InvalidArgument(
              "prefix [", prefix,
              "] conflicts with existing node in the graph named [", name, "]");
          return;
        }
      }
      child_scope_name = prefix;
    }
    tensorflow::Scope scope =

# linking against the C and C++ APIs (such as libjpeg).  When we create
# the shared library, only export the core TF API functions to avoid
# causing library conflicts (e.g., those reported in github issue 1924).
# On Linux, tell the linker (-Wl,<option>) to use a version script that
# excludes all but a subset of function names.

        resource handles pointing to it are gone.
*   `tf.data`:
    *   Introduce the `tf.data.experimental.at` API which provides random access
        for input pipelines that consist of transformations that support random
        access. The initial set of transformations that support random access
        includes:
        `tf.data.Dataset.from_tensor_slices`,`tf.data.Dataset.shuffle`,

  };

  TF_ASSERT_OK(InitGraphPlugin(plugin_init));
  ASSERT_EQ(PluginGraphOptimizerRegistry::CreateOptimizers(
                std::set<string>{"Success"})
                .size(),
            1);
  ConfigList config = PluginGraphOptimizerRegistry::GetPluginConfigs(
      true, std::set<string>{"Success"});
  ASSERT_EQ(config.toggle_config["remapping"], RewriterConfig::OFF);
}

TEST(Grappler, MultiplePluginRegistration) {

    desired TensorFlow version, for example, branch `r2.8` for version 2.8.
*   Apply (that is, cherry-pick) the desired changes and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.
*   [Build](https://www.tensorflow.org/install/source) the TensorFlow pip
    package from source.

## Continuous build status

// (https://www.tensorflow.org/code/tensorflow/core/framework/api_def.proto).
//
// The provided ApiDefs will be merged with existing ones in the map, with
// precedence given to the newly added version in case of conflicts with
// previous calls to TF_ApiDefMapPut.
TF_CAPI_EXPORT extern void TF_ApiDefMapPut(TF_ApiDefMap* api_def_map,
                                           const char* text, size_t text_len,