          self.kernel_initializer = RandomNormal(0, 0.02)
  
      def encoder(self):
          """ Encoder Network """
          kwargs = dict(kernel_initializer=self.kernel_initializer)
          input_ = Input(shape=self.input_shape)
          in_conv_filters = self.input_shape[0]
          if self.input_shape[0] > 128:
              in_conv_filters = 128 + (self.input_shape[0] - 128) // 4
          dense_shape = self.input_shape[0] // 16
 
</s> remove         kwargs = dict(kernel_initializer=self.kernel_initializer)
 </s> add         kwargs = {"kernel_initializer": self.kernel_initializer} </s> remove         kwargs = dict(kernel_initializer=self.kernel_initializer)
 </s> add         kwargs = {"kernel_initializer": self.kernel_initializer} </s> remove         return KerasModel(input_, var_x, name="encoder")
 </s> add         return KModel(input_, var_x, name="encoder") </s> remove         kwargs = dict(kernel_size=5, kernel_initializer=self.kernel_initializer)
 </s> add         kwargs = {"kernel_size": 5, "kernel_initializer": self.kernel_initializer} </s> remove         kwargs = dict(kernel_size=5, kernel_initializer=self.kernel_initializer)
 </s> add         kwargs = {"kernel_size": 5, "kernel_initializer": self.kernel_initializer}
        kwargs = {"kernel_initializer": self.kernel_initializer}
          self.kernel_initializer = RandomNormal(0, 0.02)
  
      def encoder(self):
          """ Encoder Network """
        kwargs = {"kernel_initializer": self.kernel_initializer}
          input_ = Input(shape=self.input_shape)
          in_conv_filters = self.input_shape[0]
          if self.input_shape[0] > 128:
              in_conv_filters = 128 + (self.input_shape[0] - 128) // 4
          dense_shape = self.input_shape[0] // 16
keep keep keep keep replace keep keep keep keep keep
 Remove plaidML support (#1325)

* Remove PlaidML reference from readme files

* Remove AMD option from installers

* remove amd requirements and update setup.py

* remove plaidml test from CI workflow

* gpustats: remove plaidml backend

* plaid removals:
  - faceswap.py - python version check
  - setup.cfg - plaidml typing ignore
  - lib.keras_utils - All plaid code
  - lib.launcher.py - All plaidml checks and configuration

* remove tf2.2 specific code from GUI event reader

* lib.model - remove all plaidml implementations

* plugins.extract - remove plaidml code

* plugins.train remove plaidml code

* lib.convert - remove plaidml code

* tools.model: remove plaidml code

* Remove plaidML tests from unit tests

* remove plaidml_utils and docsting cleanups

* Remove plaidML refs from configs

* fix keras imports 
plugins/train/model/villain.py