  import typing as T
  from dataclasses import dataclass
  
  import numpy as np
  # Ignore linting errors from Tensorflow's thoroughly broken import system
  from tensorflow.keras.layers import LayerNormalization  # pylint:disable=import-error
  from tensorflow.keras import applications as kapp, backend as K  # noqa:E501  # pylint:disable=import-error
  from tensorflow.keras.layers import (  # pylint:disable=import-error
      Add, BatchNormalization, Concatenate, Dense, Dropout, Flatten, GaussianNoise, MaxPool2D,
      GlobalAveragePooling2D, GlobalMaxPooling2D, Input, LeakyReLU, Reshape, UpSampling2D,
      Conv2D as KConv2D)
  from tensorflow.keras.models import clone_model, Model as KModel  # noqa:E501  # pylint:disable=import-error
  
  from lib.model.nn_blocks import (
      Conv2D, Conv2DBlock, Conv2DOutput, ResidualBlock, UpscaleBlock, Upscale2xBlock,
      UpscaleResizeImagesBlock, UpscaleDNYBlock)
  from lib.model.normalization import (
 
</s> remove from lib.model.nets import AlexNet, SqueezeNet
 </s> add from lib.model.networks import AlexNet, SqueezeNet </s> remove if T.TYPE_CHECKING:
    from tensorflow import keras
    from tensorflow import Tensor

 </s> add  </s> remove     norms = {"layer": LayerNormalization,
 </s> add     norms = {"layer": kl.LayerNormalization,
import tensorflow as tf
  import typing as T
  from dataclasses import dataclass
  
  import numpy as np
import tensorflow as tf
import tensorflow as tf
import tensorflow as tf
import tensorflow as tf
import tensorflow as tf
import tensorflow as tf
import tensorflow as tf
import tensorflow as tf
  
  from lib.model.nn_blocks import (
      Conv2D, Conv2DBlock, Conv2DOutput, ResidualBlock, UpscaleBlock, Upscale2xBlock,
      UpscaleResizeImagesBlock, UpscaleDNYBlock)
  from lib.model.normalization import (
keep keep keep keep replace replace replace replace replace replace replace replace keep keep keep keep keep
 Updates:
    - Remove clipfaker
    - Add clip to Phaze-A
    - streamline clip to vision only
    - update lib.model.networks
    - Docs and tests update
    - Phaze-A - add option to flatten bottleneck 
plugins/train/model/phaze_a.py