  import inspect
  
  import tensorflow as tf
  
  from lib.utils import get_backend
  
  if get_backend() == "amd":
      from lib.plaidml_utils import pad
      from keras.utils import get_custom_objects, conv_utils  # pylint:disable=no-name-in-module
      import keras.backend as K
      from keras.layers import InputSpec, Layer
  else:
      # Ignore linting errors from Tensorflow's thoroughly broken import system
      from tensorflow.keras.utils import get_custom_objects  # noqa pylint:disable=no-name-in-module,import-error
      from tensorflow.keras import backend as K  # pylint:disable=import-error
      from tensorflow.keras.layers import InputSpec, Layer  # noqa pylint:disable=no-name-in-module,import-error
      from tensorflow import pad  # type:ignore
      from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
  
  
  class PixelShuffler(Layer):
      """ PixelShuffler layer for Keras.
  
      This layer requires a Convolution2D prior to it, having output filters computed according to
      the formula :math:`filters = k * (scale_factor * scale_factor)` where `k` is a user defined
      number of filters (generally larger than 32) and `scale_factor` is the up-scaling factor
 
</s> remove from lib.utils import get_backend

if get_backend() == "amd":
    import keras
    from keras import backend as K
else:
    # Ignore linting errors from Tensorflow's thoroughly broken import system
    from tensorflow import keras
    from tensorflow.keras import backend as K  # pylint:disable=import-error
 </s> add # Ignore linting errors from Tensorflow's thoroughly broken import system
from tensorflow import keras
from tensorflow.keras import backend as K  # pylint:disable=import-error </s> remove from lib.utils import get_backend
 </s> add # Fix intellisense/linting for tf.keras' thoroughly broken import system
keras = tf.keras
K = keras.backend </s> remove if get_backend() == "amd":
    from keras.layers import Activation
    from keras.models import load_model as k_load_model, Model
else:
    # Ignore linting errors from Tensorflow's thoroughly broken import system
    from tensorflow.keras.layers import Activation  # noqa pylint:disable=no-name-in-module,import-error
    from tensorflow.keras.models import load_model as k_load_model, Model  # noqa pylint:disable=no-name-in-module,import-error
 </s> add from lib.utils import get_backend </s> remove if get_backend() == "amd":
    import keras
    from keras import backend as K
    from keras.layers import Concatenate, Conv2D, Input, Maximum, 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 import keras
    from tensorflow.keras import backend as K  # pylint:disable=import-error
    from tensorflow.keras.layers import (  # pylint:disable=no-name-in-module,import-error
        Concatenate, Conv2D, Input, Maximum, MaxPooling2D, ZeroPadding2D)
 </s> add if T.TYPE_CHECKING: </s> remove if get_backend() == "amd":
    import keras
    from keras import losses as k_losses
    from keras import backend as K
    import tensorflow.keras.mixed_precision.experimental as mixedprecision  # noqa pylint:disable=import-error,no-name-in-module,ungrouped-imports
else:
    # Ignore linting errors from Tensorflow's thoroughly broken import system
    from tensorflow import keras
    from tensorflow.keras import losses as k_losses  # pylint:disable=import-error
    from tensorflow.keras import backend as K  # pylint:disable=import-error
    import tensorflow.keras.mixed_precision as mixedprecision  # noqa pylint:disable=import-error,no-name-in-module
    from lib.model.autoclip import AutoClipper  # pylint:disable=ungrouped-imports


 </s> add 
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
  import inspect
  
  import tensorflow as tf
  
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
# Fix intellisense/linting for tf.keras' thoroughly broken import system
from tensorflow.python.keras.utils import conv_utils  # pylint:disable=no-name-in-module
keras = tf.keras
layers = keras.layers
K = keras.backend


class PixelShuffler(keras.layers.Layer):  # type:ignore[name-defined]
      """ PixelShuffler layer for Keras.
  
      This layer requires a Convolution2D prior to it, having output filters computed according to
      the formula :math:`filters = k * (scale_factor * scale_factor)` where `k` is a user defined
      number of filters (generally larger than 32) and `scale_factor` is the up-scaling factor
keep keep keep keep replace replace replace replace 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 
lib/model/layers.py