context, parallel_device_name.c_str(), t_released->dtype(), t_released,
      handle_methods, status));
}

// For TFE_CustomDevice::copy_tensor_to_device in the parallel device
// registration.
//
// Since this function is used to satisfy the TFE_CustomDevice C API,
// device_info is passed in using a C-style generic. It must always be a
// ParallelDevice.

  /// TensorFlow and the `TF_Filesystem*` object is destroyed. However, due to
  /// registration being done in a static instance of `Env`, the destructor of
  /// `FileSystem` is never called (see
  /// https://github.com/tensorflow/tensorflow/issues/27535). In turn, this
  /// function will never be called. There are plans to refactor registration
  /// and fix this.
  ///

	}
	if c.Proxy != "" {
		os.Setenv("CONSOLE_SUBNET_PROXY", c.Proxy)
	}
	os.Setenv("CONSOLE_SUBNET_URL", c.BaseURL)
}

// Update - in-place update with new license and registration information.
func (c *Config) Update(ncfg Config, isDevEnv bool) {
	configLock.Lock()
	defer configLock.Unlock()

	c.License = ncfg.License
	c.APIKey = ncfg.APIKey
	c.Proxy = ncfg.Proxy

  memset(&info, 0, sizeof(info));
  auto TF_InitPlugin =
      reinterpret_cast<int (*)(TF_FilesystemPluginInfo*)>(dso_symbol);
  TF_InitPlugin(&info);

  // Step 4: Do the actual registration
  return filesystem_registration::RegisterFilesystemPluginImpl(&info);
}

        FunCustodial.checkSpecifiedProperty(this, propertyName, __specifiedProperties);
    }

    protected void registerSpecifiedProperty(String propertyName) { // basically called by modified property registration
        if (__specifiedProperties != null) { // normally false, true if e.g. setting after selected
            __specifiedProperties.addPropertyName(propertyName);
        }
    }

bool_flag(
    name = "enable_registration_v2",
    build_setting_default = False,
    visibility = ["//visibility:public"],
)

config_setting(
    name = "registration_v1",
    flag_values = {":enable_registration_v2": "False"},
    visibility = ["//visibility:public"],
)

config_setting(
    name = "registration_v2",
    flag_values = {":enable_registration_v2": "True"},

setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to
# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try:
  if _tf_uses_legacy_keras:
    importlib.import_module("tf_keras.src.optimizers")
  else:

void RegisterTracingEngineFactory(const string& name, FactoryFunction factory) {
  assert((!GetFactories().count(name)) ||
         (GetFactories()[name] == factory) &&
             "Duplicate tracing factory registration");
  GetFactories()[name] = factory;
}

Status SetDefaultTracingEngine(const char* name) {
  auto entry = GetFactories().find(name);
  if (entry != GetFactories().end()) {

        FunCustodial.checkSpecifiedProperty(this, propertyName, __specifiedProperties);
    }

    protected void registerSpecifiedProperty(String propertyName) { // basically called by modified property registration
        if (__specifiedProperties != null) { // normally false, true if e.g. setting after selected
            __specifiedProperties.addPropertyName(propertyName);
        }
    }

  } while (0)

absl::Status ValidateTPOptimizerRegistrationParams(
    const TP_OptimizerRegistrationParams& params) {
  VALIDATE_STRUCT_SIZE(TP_OptimizerRegistrationParams, params,
                       TP_OPTIMIZER_REGISTRATION_PARAMS_STRUCT_SIZE);
  VALIDATE_MEMBER(TP_OptimizerRegistrationParams, params, device_type);
  return absl::OkStatus();
}

absl::Status ValidateTPOptimizer(const TP_Optimizer& optimizer) {