  from lib.model.session import KSession
  from lib.utils import get_backend
  from ._base import BatchType, Masker, MaskerBatch
  
  logger = logging.getLogger(__name__)
  
  
  if get_backend() == "amd":
      from keras.layers import (
          Add, Conv2D, Conv2DTranspose, Cropping2D, Dropout, Input, Lambda, MaxPooling2D,
          ZeroPadding2D)
      from plaidml.tile import Value as Tensor  # pylint:disable=import-error
  else:
      # Ignore linting errors from Tensorflow's thoroughly broken import system
      from tensorflow.keras.layers import (  # pylint:disable=no-name-in-module,import-error
          Add, Conv2D, Conv2DTranspose, Cropping2D, Dropout, Input, Lambda, MaxPooling2D,
          ZeroPadding2D)
      from tensorflow import Tensor
  
  
  class Mask(Masker):
      """ Neural network to process face image into a segmentation mask of the face """
 
</s> remove if get_backend() == "amd":
    from keras.layers import (
        Add, Conv2D, Conv2DTranspose, Cropping2D, Dropout, Input, Lambda, MaxPooling2D,
        ZeroPadding2D)
    from plaidml.tile import Value as Tensor  # pylint:disable=import-error
else:
    # Ignore linting errors from Tensorflow's thoroughly broken import system
    from tensorflow.keras.layers import (  # pylint:disable=no-name-in-module,import-error
        Add, Conv2D, Conv2DTranspose, Cropping2D, Dropout, Input, Lambda, MaxPooling2D,
        ZeroPadding2D)
 </s> add if T.TYPE_CHECKING: </s> remove from lib.utils import get_backend
 </s> add  </s> remove if get_backend() == "amd":
    from keras import backend as K
    from keras.layers import (
        Activation, Add, BatchNormalization, Concatenate, Conv2D, GlobalAveragePooling2D, Input,
        MaxPooling2D, Multiply, Reshape, UpSampling2D, ZeroPadding2D)
    from plaidml.tile import Value as Tensor  # pylint:disable=import-error
else:
    # Ignore linting errors from Tensorflow's thoroughly broken import system
    from tensorflow.keras import backend as K  # pylint:disable=import-error
    from tensorflow.keras.layers import (  # pylint:disable=no-name-in-module,import-error
        Activation, Add, BatchNormalization, Concatenate, Conv2D, GlobalAveragePooling2D, Input,
        MaxPooling2D, Multiply, Reshape, UpSampling2D, ZeroPadding2D)
 </s> add if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
  from lib.model.session import KSession
  from lib.utils import get_backend
  from ._base import BatchType, Masker, MaskerBatch
  
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
if T.TYPE_CHECKING:
      from tensorflow import Tensor
  
  
  class Mask(Masker):
      """ Neural network to process face image into a segmentation mask of the face """
keep keep keep keep replace replace replace replace replace replace replace replace replace replace replace replace 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/extract/mask/vgg_obstructed.py