  
          self.env.update_tf_dep()
          if self.env.os_version[0] == "Windows":
              self.tips.pip()
  
      def amd_ask_enable(self):
          """ Enable or disable Plaidml for AMD"""
          self.output.info("AMD Support: AMD GPU support is currently limited.\r\n"
 
</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         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]
 </s> add         if self.plaid is not None:
            self.active_devices = self.plaid.active_devices </s> remove     # Ask Docker/Cuda
        self.docker_ask_enable()
        self.cuda_ask_enable()
 </s> add     # Ask AMD/Docker/Cuda
        self.amd_ask_enable()
        if not self.env.enable_amd:
            self.docker_ask_enable()
            self.cuda_ask_enable() </s> remove         if IS_MACOS:
 </s> add         if self.plaid is not None:
            self.handles = self.plaid.devices
        elif IS_MACOS:
        self.env.update_amd_dep()
  
          self.env.update_tf_dep()
        self.env.update_amd_dep()
          if self.env.os_version[0] == "Windows":
              self.tips.pip()
  
      def amd_ask_enable(self):
          """ Enable or disable Plaidml for AMD"""
          self.output.info("AMD Support: AMD GPU support is currently limited.\r\n"
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 
setup.py