      def shutdown(self):
          """ Shutdown pynvml """
          if self.initialized:
              self.handles = None
              if not IS_MACOS:
                  pynvml.nvmlShutdown()
              self.initialized = False
  
      def get_device_count(self):
          """ Return count of Nvidia devices """
 
</s> remove         if IS_MACOS:
 </s> add         if self.plaid is not None:
            self.device_count = self.plaid.device_count
        elif IS_MACOS: </s> remove         if IS_MACOS:
 </s> add         if self.plaid is not None:
            self.handles = self.plaid.devices
        elif IS_MACOS: </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) </s> remove             if IS_MACOS:
 </s> add             if K.backend() == "plaidml.keras.backend":
                if self.logger:
                    self.logger.debug("plaidML Detected. Using plaidMLStats")
                self.plaid = plaidlib(log=log)
            elif IS_MACOS: </s> remove     def initialize(self):
 </s> add     def initialize(self, log=False):
            if not IS_MACOS and not self.plaid:
      def shutdown(self):
          """ Shutdown pynvml """
          if self.initialized:
              self.handles = None
            if not IS_MACOS and not self.plaid:
                  pynvml.nvmlShutdown()
              self.initialized = False
  
      def get_device_count(self):
          """ Return count of Nvidia devices """
keep keep keep keep replace 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