              self.logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
              self.logger.debug("Initializing %s", self.__class__.__name__)
  
          self.initialized = False
          self.device_count = 0
          self.active_devices = list()
          self.handles = None
          self.driver = None
          self.devices = None
 
</s> remove         self.initialize()
 </s> add         self.initialize(log) </s> remove             if not IS_MACOS:
 </s> add             if not IS_MACOS and not self.plaid: </s> remove             self.active_devices = list(range(self.device_count))
        if self.logger:
            self.logger.debug("Active GPU Devices: %s", self.active_devices)
 </s> add             devices = os.environ.get("CUDA_VISIBLE_DEVICES", None)
            if self.device_count == 0:
                self.active_devices = list()
            elif devices is not None:
                self.active_devices = [int(i) for i in devices.split(",") if devices]
            else:
                self.active_devices = list(range(self.device_count))
            if self.logger:
                self.logger.debug("Active GPU Devices: %s", self.active_devices)
        self.plaid = None
              self.logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
              self.logger.debug("Initializing %s", self.__class__.__name__)
  
        self.plaid = None
          self.initialized = False
          self.device_count = 0
          self.active_devices = list()
          self.handles = None
          self.driver = None
          self.devices = None
keep keep add keep keep keep keep keep keep
 Experimental AMD Support (#764)

* PlaidML support in setup.py

* Add AMD flag for plaidml support

* PlaidML - Use .plaidML file if present, otherwise default to largest available

* Update training info message for GUI

* Add AMD option to Windows Installer

* Add quiet keras.backend importer and minor sysinfo amend.

* plug PlaidMLStats into GPUStats

* Update Docs 
lib/gpu_stats.py