          self.cuda_version = ""
          self.cudnn_version = ""
          self.enable_docker = False
          self.enable_cuda = False
          self.required_packages = self.get_required_packages()
          self.missing_packages = list()
          self.conda_missing_packages = list()
 
</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             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.enable_amd = False
          self.cuda_version = ""
          self.cudnn_version = ""
        self.enable_amd = False
          self.enable_docker = False
          self.enable_cuda = False
          self.required_packages = self.get_required_packages()
          self.missing_packages = list()
          self.conda_missing_packages = list()
keep add 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